A Difficult Argument: Can We Accept “Academic Freedom” In Defence of Poor Teaching?

Posted: October 26, 2012 | Author: | Filed under: Education | Tags: , , , , , , , , , , , , , , , , , , , | 3 Comments

Let me frame this very carefully, because I realise that I am on very, very volatile ground with any discussion that raises the spectre of a right or a wrong way of teaching. The educational literature is equally careful about this and, very sensibly, you read about rates of transfer, load issues, qualitative aspects and quantitative outcomes, without any hard and fast statements such as “You must never lecture again!” or “You must use formative assessment or bees will consume your people!”

Not even your marching bands will be safe!

I am aware, however, that we are seeing a split between those people who accept that educational research has something to tell them, which may possibly override personal experience or industry requirement, and those who don’t. But, and let me tread very carefully indeed, while those of us who accept that the traditional lecture is not always the right approach realise that the odd lecture (or even entire course of lectures) won’t hurt our students, there is far more damaging and fundamental disagreement.

Does education transform in the majority of cases or are most students ‘set’ by the time that they come to us?

This is a key question because it affects how we deal with our students. If there are ‘good’ and ‘bad’ students, ‘smart’ and ‘dumb’ or ‘hardworking’ and ‘lazy’, and this is something that is an immutable characteristic, then a lot of what we are doing in order to engage students, to assist them in constructing knowledge and placing into them collaborative environments, is a waste of their time. They will either get it (if they’re smart and hardworking) or they won’t. Putting a brick next to a bee doesn’t double your honey-making capacity or your ability to build houses. Except, of course, that students are not bees or bricks. In fact, there appears to be a vast amount of evidence that says that such collaborative activities, if set up correctly in accordance with the established work in social constructivism and cognitive apprenticeship, will actually have the desired effect and you will see positive transformations in students who take part.

However, there are still many activities and teachers who continue to treat students as if they are always going to be bricks or bees. Why does this matter? Let me digress for a moment.

I don’t care if vampires, werewolves or zombies actually exist or not and, for the majority of my life, it is unlikely to make any difference to me. However, if someone else is convinced that she is a vampire and she attacks me and drain my blood, I am just as dead as if she were not a vampire – of course, I now will not rise from the dead but this is of little import to me. What matters is the impact upon me because of someone else’s practice of their beliefs.

If someone strongly believes that students are either ‘smart enough’ to take their courses or not, they don’t care who fails or how many, and that it is purely the role of the student to have or to spontaneously develop this characteristic then their impact will likely be high enough to have a negative impact on at least some students. We know about stereotype threat. We’re aware of inherent bias. In this case, we’re no longer talking about right or wrong teaching (thank goodness), we’re talking about a fundamentally self-fulfilling prophecy as a teaching philosophy. This will have as great an impact to those who fail or withdraw as the transformation pathway does to those who become better students and develop.

It is, I believe, almost never about the bright light of our most stellar successes. Perhaps we should always be held to answer (or at least explain) for the number and nature of those who fall away. I have been looking for statements of student rights across Australia and the Higher Education sites all seem to talk about ‘fair assessment’ and ‘right of appeal’, as well as all of the student responsibilities. The ACARA (Australian Curriculum and Reporting Authority) website talks a lot about opportunities and student needs in schools. What I haven’t yet found is something that I would like to see, along these lines:

“Educational is transformational. Students are entitled to be assessed on their own performance, in the context of their opportunities.”

Curve grading, which I’ve discussed before, immediately forces a false division of students into good and bad, merely by ‘better’ students existing. It is hard to think of something that is fundamentally less fair or appropriate to the task if we accept that our goal is improvement to a higher standard, regardless of where people start. In a curve graded system, the ‘best’ person can coast because all they have to do is stay one step ahead of their competition and natural alignment and inflation will do the rest. This is not the motivational framework that we wish to establish, especially when the lowest realise that all is lost.

I am a long distance runner and my performances will never set the world on fire. To come first in a race, I would have to be in a small race with very unfit people. But no-one can take away my actual times for my marathons and it is those times that have been used to allow me to enter other events. You’ll note that in the Olympics, too. Qualifying times are what are used because relative performance does not actually establish any set level of quality. The final race? Yes, we’ve established competitiveness and ranking becomes more important – but then again, entering the final heat of an Olympic race is an Olympian achievement. Let’s not quibble on this, because this is the equivalent of Nobel and Turing awards.

And here is the problem again. If I believe that education is transformative and set up all of my classes with collaborative work, intrinsic motivation and activities to develop self-regulation, then that’s great but what if it’s in third-year? If the ‘students were too dumb to get it’ people stand between me and my students for the first two years then I will have lost a great number of possibly good students by this stage – not to mention the fact that the ones who get through may need some serious de-programming.

Is it an acceptable excuse that another academic should be free to do what they want, if what they want to do is having an excluding and detrimental effect on students? Can we accept that if it means that we have to swallow that philosophy? If I do, does it make me complicit? I would like nothing more than to let people do what they want, hey, I like that as much as the next person, but in thinking about the effect of some decisions being made, is the notion of personal freedom in what is ultimately a public service role still a sufficiently good argument for not changing practice?

Heading to SIGCSE!

Posted: October 25, 2012 | Author: | Filed under: Education | Tags: , , , , , , , , , , , , , | Leave a comment

Snowed under – get it?

I’m pretty snowed under for the rest of the week and, while I dig myself out of a giant pile of papers on teaching first year programmers (apparently it’s harder than throwing Cay’s book at them and yelling “LEARN!”), I thought I’d talk about some of the things that are going on in our Computer Science Education Research Group. The first thing to mention is, of course, the group is still pretty new – it’s not quite “new car smell” territory but we are certainly still finding out exactly which direction we’re going to take and, while that’s exciting, it also makes for bitten fingernails at paper acceptance notification time.

We submitted a number of papers to SIGCSE and a special session on Contributing Student Pedagogy and collaboration, following up on our multi-year study on this and Computer Science Education paper. One of the papers and the special session have been accepted, which is fantastic news for the group. Two other papers weren’t accepted. While one was a slightly unfortunate near-miss (but very well done, lead author who shall remain nameless [LAWSRN]), the other was a crowd splitter. The feedback on both was excellent and it’s given me a lot to think about, as I was lead on the paper that really didn’t meet the bar. As always, it’s a juggling act to work out what to put into a paper in order to support the argument to someone outside the group and, in hindsight quite rightly, the reviewers thought that I’d missed the mark and needed to try a different tack. However, with one exception, the reviewers thought that there was something there worth pursuing and that is, really, such an important piece of knowledge that it justifies the price of admission.

Yes, I’d have preferred to have got it right first time but the argument is crucial here and I know that I’m proposing something that is a little unorthodox. The messenger has to be able to deliver the message. Marathons are not about messengers who run three steps and drop dead before they did anything useful!

The acceptances are great news for the group and will help to shape what we do for the next 12-18 months. We also now have some papers that, with some improvement, can be sent to another appropriate conference. I always tell my students that academic writing is almost never wasted because if it’s not used here, or published there, the least that you can learn is not to write like that or not about that topic. Usually, however, rewriting and reevaluation makes work stronger and more likely to find a place where you can share it with the world.

We’re already planning follow-up studies in November on some of the work that will be published at SIGCSE and the nature of our investigations are to try and turn our findings into practically applicable steps that any teacher can take to improve participation and knowledge transfer. These are just some of the useful ideas that we hope to have ready for March but we’ll see how much we get done. As always. We’re coming up to the busy end of semester with final marking, exams and all of that, as well as the descent into admin madness as we lose the excuse of “hey, I’d love to do that but I’m teaching.” I have to make sure that I wrestle enough research time into my calendar to pursue some of the exciting work that we have planned.

I look forward to seeing some of you in Colorado in March to talk about how it went!

Things to do in Denver when you’re Ed?

Recursive Tutorial: A tutorial on writing a tutorial

Posted: October 24, 2012 | Author: | Filed under: Education | Tags: , , , , , , , , , , , , , , , , , | Leave a comment

I assigned the Grand Challenge students a slightly strange problem for yesterday’s tutorial: “How would you write an R tutorial for Year 11 High School Students?” R is an open source statistics package that is incredibly powerful and versatile but it is nowhere near as friendly to use or accessible as traditional GUI tools such as Microsoft Excel. R has some menus and buttons on it but most of these are used to control the environment, rather than applying the statistical and mathematical functions. R Studio is an associated Integrated Development Environment (IDE) that makes working with R easier but, at its core, R relies upon you knowing enough R to type the right commands.

Discussing this with students, we compared Excel and R to find out what the core differences were and some of them are not important early on but become more important later. Excel, for example, allows you to quickly paste and move around data, apply some functions, draw some graphs and come to a result quickly, mostly by pushing buttons and using on-line help with a little typing. But, and it’s an important but, unless you write a program in Excel (and not that many people do), re-applying all of that manipulation to a new data source requires you to click and push and move across the screen all over again. You have to recreate a long and complicated combination of mechanical and cognitive functions. R, by contrast, requires you to type commands to get things to happen but it remembers them by default and you can easily extract them. Because of how R works, you drag in data (from a file, say) and then execute a set of manipulation steps. If you’re familiar with R then this is straight-forward. If not, then steep learning curve. However, re-using these instructions and manipulations on a new data source is trivial. You change the file and re-run all of the steps.

Why am I talking about new data sources? Because it’s often the case that you want to do the same thing with new data OR you realise that the data you were working with was incomplete or in error. Unless you write a lot of Visual Basic in Excel (and that no longer works on Macs so it’s not a transferable option), your Excel spreadsheet with changed data requires you to potentially reapply or check the application of everything in the spreadsheet, especially if there is any sorting of data, creation of new columns or summary data – and let’s not even start talking about pivot tables! But, for single run, for finance, for counting stuff, Excel is almost always going to be more easy to teach people to use than R. For scientists, however, R is better to use for two very important reasons: it is less likely to do something that is irreversible to your data and the vast majority of its default choices are sensible.

The students came up with a list of things that Excel does (good and bad): it’s strongly visual, lay-user friendly, tells you what you can do, does what it damn well wants to, data changes may require manual reapplication. There’s a corresponding list for R: steep learning curve, visual display for R environment but command-line interface for commands, does what you tell it to do (except when it’s too smart). I surveyed the class to find out who was using R rather than Excel and the majority of students were using R for their analysis but, and again it’s an important but, only because they had to. In situations where Excel was enough (simple manipulation, straight forward analysis), then Excel got used because Excel is far easier to use and far friendlier.

The big question for the students was “How do I start doing something?” In Excel, you type numbers into the spreadsheet and then can just start selecting things using a relatively good on-line help system. In R you are faced with a blinking prompt and you have to know enough to type streams of commands like this:

newtab <-read.csv("~/days.txt",header=FALSE)
plot(seq(1,nrow(newtab)),newtab$V1) 
boxplot(newtab) 
abline(a=1500,b=0) 
mean(newtab)

And, with a whole set of other commands, you can get graphs like this. (I realise that this is not a box plot!)

Once you’re used to it, this is meaningful, powerful and re-applicable. I can update the data and re-run this to my heart’s content, analysing vast quantities of data without having to keep mouse clicking into cells. But let’s remember our context. I’m not talking about higher education students, I’m talking about school students and it’s important to remember that teaching people something before they’re ready to use it or before they have an opportunity to use it is potentially not the best use of effort.

My students pointed out that the school students of today are all learning how to use graphing calculators, with giant user manuals, and (in some cases) the students switch on their calculators to see a menu rather than the traditional calculator single line. But the syntax and input modes for calculators vary widely. Some use ( ) for operations like sin, so a student will see sin(30) when they start doing trig, whereas some don’t. This means that some of the students I might want to teach R to have not necessarily got their head around the fact that functions exist, except as something that Excel requires them to do. Let’s go to the why here, because it’s important. Why are students learning how to use these graphing calculators? So they can pass their exams, where the competent and efficient use of these things will help them. Yes, it appears that students may be carrying out the kind of operations I would like them to put into a more powerful tool, but why should they?

If a teach a high school student about Excel then there are many places that they might use this kind of software: micro-budgeting, keeping track of things, the ‘simple’ approximation of a database storing books or things like that. However, the general practice of using Excel is familiarisation with a GUI interface that is very, very common and that most students need experience with. If I teach them R then I might be extending their knowledge but (a) the majority are probably not yet ready for it and (b) they are highly unlikely to need to use it for anything in the near future.

The conclusion that my students reached was that, if we really wanted to provide exposure to an industry-like scientific or engineering tool at the earlier stage, then why not use one that was friendlier, more helpful but still had a more scientific focus. They suggested Matlab (as a number of them had been exposed) or Mathematica. Now this whole exercise was designed to get them to practice their thinking about outreach, community, communication and sharing knowledge, so I wasn’t ever actually planning to run an R tutorial at Year 11. But these students thought through and asked the very important questions:

  • Who is this aimed at?
  • What do they already know?
  • What do they need to know?
  • Why are we doing this?

Of course, I have also learned a great deal from this as well – I had no idea that the calculators had quite got to this point, nor that there were schools were students would have to select through a graphical menu to get to the simple “3+3 EXE” section of the calculator! Don’t tell my Grand Challenge students but I think I’m learning roughly as much as they are!

Polymaths, Philomaths and Teaching Philosophy: Why we can’t have the first without the second, and the second should be the goal of the third.

Posted: October 22, 2012 | Author: | Filed under: Education | Tags: , , , , , , , , , , , , , , , , , , | 1 Comment

You may have heard the term polymath, a person who possesses knowledge across multiple fields, or if you’re particularly unlucky, you’ve been at one of those cocktail parties where someone hands you a business card that says, simply, “Firstname Surname, Polymath” and you have formed a very interesting idea of what a polymath is.  We normally reserve this term for people who excel across multiple fields such as, to drawn examples from this Harvard Business Review blog by Kyle Wiens, Leonard da Vinci (artist and inventor), Benjamin Franklin, Paul Robeson or Steve Jobs. (Let me start to address the article’s gender imbalance with Hypatia of Alexandria, Natalie Portman, Maya Angelou and Mayim Bialik, to name a small group of multidisciplinary women, admittedly focussing on the Erdös-Bacon intersection.) By focusing on those who excel, we do automatically associate a higher degree of assumed depth of knowledge across these multiple fields. The term “Renaissance [person]” is often bandied about as well.

Da Vinci, seen here inventing the cell phone. Sadly, it was to be over 500 years before the cell phone tower was invented so he never received a call. His monthly bill was still enormous.

Now, I have worked as a system administrator and programmer, a winemaker and I’m now an academic in Computer Science, being slowly migrated into some aspects of managerialism, who hopes shortly to start a PhD in Creative Writing. Do I consider myself to be a polymath? No, absolutely not, and I struggle to think of anyone who would think of me that way, either. I have a lot of interests but, while I have had different areas of expertise over the years, I’ve never managed the assumed highly parallel nature of expertise that would be required to be considered a polymath, of any standing. I have academic recognition of some of these interests but this changes neither the value (to me or others) nor has it ever been required to be well-lettered to be in the group mentioned above.

I describe myself, if I have to, as a philomath, someone who is a lover of learning. (For both of the words, the math suffix comes from the Greek and means to learn, but poly means much/many and philo means loving, so a polymath is ‘many learnéd’.) The immediate pejorative for someone who leans lots of things across areas is the infamous “Jack of all trades” and its companion “master of none”. I love to learn new things, I like studying but I also like applying it. I am confident that the time I spent in each discipline was valuable and that I knew my stuff. However, the main point I’d like to state here is that you cannot be a polymath without first having been a philomath – I don’t see how you can develop good depth in many areas unless you have a genuine love of learning. So every polymath was first a philomath.

Now let’s talk about my students. If they are at all interested in anything I’m teaching them, and let’s assume that at least some of them love various parts of a course at some stage, then they are looking to develop more knowledge in one area of learning. However, looking at my students as mono-cultural beings who only exist when they are studying, say, the use of the linked list in programming, is to sell them very, very short indeed. My students love doing a wide range of things. Yes, those who love learning in my higher educational context will probably do better but I guarantee you that every single student you have loves doing something, and most likely that’s more than one thing! So every single one of my students is inherently a philomath – but the problems arise when what they love to learn is not what I want to teach!

This leads me to the philosophy of learning and teaching, how we frame, study and solve the problems of trying to construct knowledge and transform it to allow its successful transfer to other people, as well as how we prepare students to receive, use and develop it. It makes sense that the state that we wish to develop on our students is philomathy. Students are already learning from, interested and loving their lives and the important affairs of the world as they see them, so to get them interested in what we want to teach them requires us to acknowledge that we are only one part of their lives. I rarely meet a student who cannot provide a deep, accurate and informative discourse on something in their lives. If we accept this then, rather than demanding an unnatural automaton who rewrites their entire being to only accept our words on some sort of diabolical Turing Tape of compliance, we now have a much easier path, in some respects, because accepting this means that our students will spend time on something in the depth that we want – it is now a matter of finding out how to tap into this. At this point, the yellow rag of populism is often raised, unfairly in most cases, because it is assumed that students will only study things which are ‘pop’ or ‘easy’. There is nothing ‘easy’ about most of the pastimes at which our students excel and they will expend vast amount of efforts on tasks if they can see a clear reason to do so, it appears to be a fair return on investment, and they feel that they have reasonable autonomy in the process. Most of my students work harder for themselves than they ever will for me: all I do is provide a framework that allows them to achieve something and this, in turn, allows them to develop a love. Once the love has been generated, the philomathic wheel turns and knowledge (most of the time) develops.

Whether you agree on the nature of the tasks or not, I hope that you can see why the love of learning should be a core focus of our philosophy. Our students should engage because they want to and not just because we force them to do so. Only one of these approaches will persist when you remove the rewards and the punishments and, while Skinner may disagree, we appear to be more than rats, especially when we engage our delightfully odd brains to try and solve tasks that are not simply rote learned. Inspiring the love of learning in any one of our disciplines puts a student on the philomathic path but this requires us to accept that their love of learning may have manifested in many other areas, that may be confusedly described as without worth, and that all we are doing is to try and get them to bring their love to something that will be of benefit to them in their studies and, assuming we’ve set the course up correctly, their lives in our profession.

Sources of Knowledge: Stickiness and the Chasm Between Theory and Practice.

Posted: October 21, 2012 | Author: | Filed under: Education | Tags: , , , , , , , , , , , , , , , , | Leave a comment

Like all sources, it helps to know the origin and the purity.

My head is still full of my current crop of research papers and, while I can’t go into details, I can discuss something that I’m noticing more and more as I read into the area of Computer Science Education. Firstly, how much I have left to learn and, secondly, how difficult it is sometimes to track down ideas and establish novelty, provenance and worth. I read Mark Guzdial’s blog a lot because Mark has spent a lot of time being very clever in this area (Sorry, Mark, it’s true) but he is also an excellent connecter of the reader to good sources of information, as well as reminding us when something pops up that is effectively a rehash of an old idea. This level of knowledge and ability to discuss ideas is handy when we keep seeing some of the same old ideas pop up, from one source or another, over time. I’ve spoken before about how the development of the mass-accessible library didn’t end the importance of the University or school, and Mark makes a similar note in a recent post on MOOCs when he points us to an article on mail delivery lessons from a hundred years before and how this didn’t lead to the dissolution of the education system. Face-to-face continues to be important, as do bricks and mortar, so while the MOOC is a fascinating new tool and methodology with great promise, the predicted demise of the school and college may (once again) turn out to be premature.

If you’ve read Malcolm Gladwell’s “The Tipping Point”, you’ll be familiar with the notion that ideas need to have certain characteristics, and certain human agents, before they become truly persuasive and widely adopted. If you’ve read Dawkin’s “Selfish Gene” (published over a decade before) then you’ll understand that Gladwell’s book would be stronger if it recognised a debt to Dawkins’ coining of the term meme, for self-replicating beliefs and behaviours. Gladwell’s book, as a source, is a fairly unscientific restatement of some existing ideas with a useful narrative structure, despite depending on some now questionable case studies. In many ways, it is an example of itself because Gladwell turned existing published information into a form where, with his own additions, he has identified a useful way to discuss certain systems of behaviour. Better still, people do (still) read it.

(A quick use of Google Trends shows me that people search for “The Tipping Point” roughly twice as much as “The Selfish Gene” but for “Richard Dawkins” twice as much as “Malcolm Gladwell”. Given Dawkins’ very high profile in belligerent atheism, this is not overly surprising.)

Gladwell identified the following three rules of epidemics (in terms of the spread of ideas):

  1. The Law of the Few: There are a small group of people who make a big difference to the proliferation of an idea. The mavens accumulate knowledge and know a lot about the area. The connectors are the gregarious and sociable people who know a lot of other people and, in Gladwell’s words, “have a gift for bringing the word together”. The final type of people are salespeople or (more palatably) persuaders, the people who convince us that something is a good idea. Gladwell’s thesis is that it is not just about the message, but that the messenger matters.
  2. The Stickiness Factor: Ideas have to be memorable in order to spread effectively so there is something about the specific content of the message that will determine its impact. Content matters.
  3. The Power of Context: We are all heavily influenced by and sensitive to our environment. Context matters.

Dawkins’ meme is a very sticky idea and, while there’s a lot of discussion about the Selfish Gene, we now have the field of memetics and the fact that the word ‘meme’ is used (almost correctly) thousands, if not millions, of times a day. Every time that you’ve seen a prawn running on a treadmill while Yakity Sax plays, you can think of Richard Dawkins and thank him for giving you a word to describe this.

My early impressions of some of the problem with the representation of earlier ideas in CS Ed, as if they are new, makes me wonder if there is a fundamental problem with the stickiness of some of these ideas. I would argue that the most successful educational researchers, and I’ve had the privilege to see some of them, are in fact strong combinations of Gladwell’s few. Academics must be, by definition, mavens, information specialists in our domains. We must be able to reach out to our communities and spread our knowledge – is this enough for us to be called connectors? We have to survive peer review, formal discussions and criticism and we have to be able to argue our ideas, on the reasonable understanding that it is our ideas and not ourselves that is potentially at fault. Does this also make us persuaders? If we can find all of these “few” in our community, and we already a community of the few, where does it leave us in terms of explaining why we, in at least some areas, keep rehashing the same old ideas. Do we fail to appreciate the context of those colleagues we seek to reach or are our ideas just not sticky enough? (Context is crucial here, in my opinion, because it is very easy to to explain a new idea in a way that effectively says “You’ve been doing it wrong all these years. Now fix it or you’re a bad person.” This is going to create a hostile environment. Once again, context matters but this time it is in terms of establishing context.)

I wonder if this is compounded in Computer Science by the ability to separate theory from practice, and to draw in new practice from both an educational research focus and an industrial focus? To explain why teamwork actually works, we move into social constructivism and to Vygotsky, via Ben-Ari in many cases, Bandura, cognitive apprenticeship – that’s an educational research focus. To say that teamwork works, because we’ve got some good results from industry and we’re supported by figures such as Brooks, Boehm and Humphrey and their case studies in large-scale development – that’s an industrial focus. The practice of teamwork is sticky, that ship has sailed in software development, but does the stickiness of the practice transfer to the stickiness of the underlying why? The answer, I believe, is ‘no’ and I’m beginning to wonder if a very sticky “what” is actually acting against the stickiness of the “why”. Why ask “why?” when you know that it works? This seems to be a running together of the importance of stickiness and the environment of the CS Ed researcher as a theoretical educationalist, working in a field that has a strong industrial focus, with practitioner feedback and accreditation demands pushing a large stream of “what do to”.

It has been a thoughtful week and, once again, I admit my novice status here. Is this the real problem? If so, how can we fix it?

 

Thoughts on Overloading: I Still Appear to be Ignoring My Own Advice

Posted: October 18, 2012 | Author: | Filed under: Education | Tags: , , , , , , , , , , , , , , , | Leave a comment

The delicate art of Highway Jenga(TM)

I was musing recently on the inherent issues with giving students more work to do, if they are already overloaded to a point where they start doing questionable things (like cheating). A friend of mine is also going through a contemplation of how he seems to be so busy that fitting in everything that he wants to do keeps him up until midnight. My answer to him, which includes some previous comments from other people, is revealing – not least because I am talking through my own lens, and I appear to still feel that I am doing too much.

Because I am a little too busy, I am going to repost (with some editing to remove personal detail and clarify) what I wrote to him, which distils a lot of my thoughts over the past few months on overloading. This was all in answer to the question: “How do people fit everything in?”

You have deliberately committed to a large number of things and you wish to perform all of them at a high standard. However, to do this requires that you spend a very large amount of time, including those things that you need to do for your work.

Most people do one of three things:

    1. they do not commit to as much,
    2. they do commit to as much but do it badly, or
    3. they lie about what they are doing because claiming to be a work powerhouse is a status symbol.

A very, very small group of people can buck the well documented long-term effects of overwork but these peopler are in the minority. I would like to tell you what generally happens to people who over-commit, while readily admitting that this might not apply to you. Most of this is based on research, informed by bitter personal experience.

The long-term effects of overwork (as a result of over-commitment) are sinister and self-defeating. As fatigue increases, errors increase. The introduction of errors requires you to spend more time to achieve tasks because you are now doing the original task AND fixing errors, whether the errors are being injected by you or they are actually just unforeseen events because your metacognitive skills (resource organisation) are being impaired by fatigue.

However, it’s worse than that because you start to lose situational awareness as well. You start to perform tasks because they are there to perform, without necessarily worrying about why or how you’re doing it. Suddenly, not only are you tired and risking the introduction of errors, you start to lose the ability to question whether you should be carrying out a certain action in the first place.

Then it gets worse again because not only do obstacles now appear to be thrown up with more regularity (because your error rates are going up, your frustration levels are high and you’re losing resource organisational ability) but even the completion of goals merely becomes something that facilitates more work. Having completed job X, because you’re over-committed, you must immediately commence job X+1. Goal completion, which should be a time for celebration and reflection, now becomes a way to open more gateways of burden. Goals delayed become a source of frustration. The likely outcome is diminished enjoyment and an encroaching sense of work, work, work. 

[I have removed a paragraph here that contained too much personal detail of my friend.]

So, the question is whether your work is too much, given everything else that you want to do, and only you can answer this question as to whether you are frustrated by it most of the time and whether you are enjoying achieving goals, or if they are merely opening more doors of work. I don’t expect you to reply on this one but it’s an important question – how do you feel when you open your eyes in the morning? How often are you angry at things? Is this something that you want to continue for the foreseeable future? 

Would you still do it, if you didn’t have to pay the rent and eat?

Regrettably, one of the biggest problems with over-commitment is not having time to adequately reflect. However, long term over-commitment is clearly demonstrated (through research) to be bad for manual labourers, soldiers, professionals, and knowledge workers. The loss of situational awareness and cognitive function are not good for anyone. 

My belief is that an approach based on listening to your body and working within sensible and sustainable limits is possible for all aspects of life but readily acknowledge that transition away from over-commitment to sustainable commitment can be very, very hard. I’m facing that challenge at the moment and know that it is anything but easy. I’m not trying to lecture you, I’m trying to share my own take on it, which may or may not apply. However, you should always feel free to drop by for a coffee to chat, if you like, and I hope that you have some easier and less committed times ahead.

Reading through this, I reminded of how much work I have left to do in order to reduce my overall commitments to sensible levels. It’s hard, sometimes, because there are so many things that I want to do but I can easily point to a couple of indicators that tell me that I still don’t quite have the balance right. For example, I’m managing my time at the moment, but that’s probably because being unable to run has given me roughly 8 hours  a week back to spend elsewhere. I am getting things done because I am using up almost all of that running time but working in it instead. And that, put simply, means I’m regularly working longer hours than I should.

Looking back at the advice, I am projecting my own problems with goals: completing something merely unlocks new burdens, and there is very little feeling of finalisation. I am very careful to try and give my students closure points, guidance and a knowledge of when to stop. Time to take a weekend and reflect on how I can get that back for myself – and still do everything cool that I want to do! 🙂

Authenticity and Challenge: Software Engineering Projects Where Failure is an Option

Posted: October 17, 2012 | Author: | Filed under: Education | Tags: , , , , , , , , , , , , , , , , , , , , , , | 2 Comments

It’s nearly the end of semester and that means that a lot of projects are coming to fruition – or, in a few cases, are still on fire as people run around desperately trying to put them out. I wrote a while about seeing Fred Brooks at a conference (SIGCSE) and his keynote on building student projects that work. The first four of his eleven basic guidelines were:

  1. Have real projects for real clients.
  2. Groups of 3-5.
  3. Have lots of project choices
  4. Groups must be allowed to fail.

We’ve done this for some time in our fourth year Software Engineering option but, as part of a “Dammit, we’re Computer Science, people should be coming to ask about getting CS projects done” initiative, we’ve now changed our third year SE Group Project offering from a parallel version of an existing project to real projects for real clients, although I must confess that I have acted as a proxy in some of them. However, the client need is real, the brief is real, there are a lot of projects on the go and the projects are so large and complex that:

  1. Failure is an option.
  2. Groups have to work out which part they will be able to achieve in the 12 weeks that they have.

For the most part, this approach has been a resounding success. The groups have developed their team maturity faster, they have delivered useful and evolving prototypes, they have started to develop entire tool suites and solve quite complex side problems because they’ve run across areas that no-one else is working in and, most of all, the pride that they are taking in their work is evident. We have lit the blue touch paper and some of these students are skyrocketing upwards. However, let me not lose sight of one our biggest objectives, that we be confident that these students will be able to work with clients. In the vast majority of cases, I am very happy to say that I am confident that these students can make a useful, practical and informed contribution to a software engineering project – and they still have another year of projects and development to go.

The freedom that comes with being open with a client about the possibility of failure cannot be overvalued. This gives both you and the client a clear understanding of what is involved- we do not need to shield the students, nor does the client have to worry about how their satisfaction with software will influence things. We scaffold carefully but we have to allow for the full range of outcomes. We, of course, expect the vast majority of projects to succeed but this experience will not be authentic unless we start to pull away the scaffolding over time and see how the students stand by themselves. We are not, by any stretch, leaving these students in the wilderness. I’m fulfilling several roles here: proxying for some clients, sharing systems knowledge, giving advice, mentoring and, every so often, giving a well-needed hairy eyeball to a bad idea or practice. There is also the main project manager and supervisor who is working a very busy week to keep track of all of these groups and provide all of what I am and much, much more. But, despite this, sometimes we just have to leave the students to themselves and it will, almost always, dawn on them that problem solving requires them to solve the problem.

I’m really pleased to see this actually working because it started as a brainstorm of my “Why aren’t we being asked to get involved in more local software projects” question and bouncing it off the main project supervisor, who was desperate for more authentic and diverse software projects. Here is a distillation of our experience so far:

  1. The students are taking more ownership of the projects.
  2. The students are producing a lot of high quality work, using aggressive prototyping and regular consultation, staged across the whole development time.
  3. The students are responsive and open to criticism.
  4. The students have a better understanding of Software Engineering as a discipline and a practice.
  5. The students are proud of what they have achieved.

None of this should come as much of a surprise but, in a 25,000+ person University, there are a lot of little software projects on the 3-person team 12 month scale, which are perfect for two half-year project slots because students have to design for the whole and then decide which parts to implement. We hope to give these projects back to them (or similar groups) for further development in the future because that is the way of many, many software engineers: the completion, extension and refactoring of other people’s codebases. (Something most students don’t realise is that it only takes a very short time for a codebase you knew like the back of your hand to resemble the product of alien invaders.)

I am quietly confident, and hopeful, that this bodes well for our Software Engineers and that we still start to seem them all closely bunched towards the high achieving side of the spectrum in terms of their ability to practice. We’re planning to keep running this in the future because the early results have been so promising. I suppose the only problem now is that I have to go and find a huge number of new projects for people to start on for 2013.

As problems go, I can certainly live with that one!

Dealing with Plagiarism: Punishment or Remediation?

Posted: October 15, 2012 | Author: | Filed under: Education | Tags: , , , , , , , , , , , , , , , , , , , , , , | 6 Comments

I have written previously about classifying plagiarists into three groups (accidental, panicked and systematic), trying to get the student to focus on the journey rather than the objective, and how overwork can produce situations in which human beings do very strange things. Recently, I was asked to sit in on another plagiarism hearing and, because I’ve been away from the role of Assessment Coordinator for a while, I was able to look at the process with an outsider’s eye, a slightly more critical view, to see how it measures up.

Our policy is now called an Academic Honesty Policy and is designed to support one of our graduate attributes: “An awareness of ethical, social and cultural issues within a global context and their importance in the exercise of professional skills and responsibilities”. The principles are pretty straight-forward for the policy:

  • Assessment is an aid to learning and involves obligations on the part of students to make it effective.
  • Academic honesty is an essential component of teaching, learning and research and is fundamental to the very nature of universities.
  • Academic writing is evidence-based, and the ideas and work of others must be acknowledged and not claimed or presented as one’s own, either deliberately or unintentionally.

The policy goes on to describe what student responsibilities are, why they should do the right thing for maximum effect of the assessment and provides some handy links to our Writing Centre and applying for modified arrangements. There’s also a clear statement of what not to do, followed by lists of clarifications of various terms.

Sitting in on a hearing, looking at the process unfolding, I can review the overall thrust of this policy and be aware that it has been clearly identified to students that they must do their own work but, reading through the policy and its implementation guide, I don’t really see what it provides to sufficiently scaffold the process of retraining or re-educating students if they are detected doing the wrong thing.

There are many possible outcomes from the application of this policy, starting with “Oh, we detected something but we turned out to be wrong”, going through “Well, you apparently didn’t realise so we’ll record your name for next time, now submit something new ” (misunderstanding), “You knew what you were doing so we’re going to give you zero for the assignment and (will/won’t) let you resubmit it (with a possible mark cap)” (first offence), “You appear to make a habit of this so we’re giving you zero for the course” (second offence) and “It’s time to go.” (much later on in the process after several confirmed breaches).

Let me return to my discussions on load and the impact on people from those earlier posts. If you accept my contention that the majority of plagiarism cheating is minor omission or last minute ‘helmet fire’ thinking under pressure, then we have to look at what requiring students to resubmit will do. In the case of the ‘misunderstanding’, students may also be referred to relevant workshops or resources to attend in order to improve their practices. However, considering that this may have occurred because the student was under time pressure, we have just added more work and a possible requirement to go and attend extra training. There’s an old saying from Software Development called Brook’s Law:

“…adding manpower to a late software project makes it later.” (Brooks, Mythical Man Month, 1975)

In software it’s generally because there is ramp up time (the time required for people to become productive) and communication overheads (which increases with the square of the number of people again). There is time required for every assignment that we set which effectively stands in for the ramp-up and, as plagiarising/cheating students have probably not done the requisite work before (or could just have completed the assignment), we have just added extra ramp-up into their lives for any re-issued assignments and/or any additional improvement training. We have also greatly increased the communication burden because the communication between lecturers and peers has implicit context based on where we are in the semester. All of the student discussion (on-line or face-to-face) from points A to B will be based around the assignment work in that zone and all lecturing staff will also have that assignment in their heads. An significantly out-of-sequence assignment not only isolates the student from their community, it increases the level of context switching required by the staff, decreasing the amount of effective time that have with the student and increasing the amount of wall-clock time. Once again, we have increased the potential burden on a student that, we suspect, is already acting this way because of over-burdening or poor time management!

Later stages in the policy increase the burden on students by either increasing the requirement to perform at a higher level, due to the reduction of available marks through giving a zero, or by removing an entire course from their progress and, if they wish to complete the degree, requiring them to overload or spend an additional semester (at least) to complete their degree.

My question here is, as always, are any of these outcomes actually going to stop the student from cheating or do they risk increasing the likelihood of either the student cheating or the student dropping out? I complete agree with the principles and focus of our policy, and I also don’t believe that people should get marks for work that they haven’t done, but I don’t see how increasing burden is actually going to lead to the behaviour that we want. (Dan Pink on TED can tell you many interesting things about motivation, extrinsic factors and cognitive tasks, far more effectively than I can.)

This is, to many people, not an issue because this kind of policy is really treated as being punitive rather than remedial. There are some excellent parts in our policy that talk about helping students but, once we get beyond the misunderstanding, this language of support drops away and we head swiftly into the punitive with the possibility of controlled resubmission. The problem, however, is that we have evidence that light punishment is interpreted as a licence to repeat the action, because it doesn’t discourage. This does not surprise me because we have made such a risk/reward strategy framing with our current policy. We have resorted to a punishment modality and, as a result, we have people looking at the punishments to optimise their behaviour rather than changing their behaviour to achieve our actual goals.

This policy is a strange beast as there’s almost no way that I can take an action under the current approach without causing additional work to students at a time when it is their ability to handle pressure that is likely to have led them here. Even if it’s working, and it appears that it does, it does so by enforcing compliance rather than actually leading people to change the way that they think about their work.

My conjecture is that we cannot isolate the problems to just this policy. This spills over into our academic assessment policies, our staff training and our student support, and the key difference between teaching ethics and training students in ethical behaviour. There may not be a solution in this space that meets all of our requirements but if we are going to operate punitively then let us be honest about it and not over-burden the student with remedial work that they may not be supported for. If we are aiming for remediation then let us scaffold it properly. I think that our policy, as it stands, can actually support this but I’m not sure that I’ve seen the broad spread of policy and practice that is required to achieve this desirable, but incredibly challenging, goal of actually changing student behaviour because the students realise that it is detrimental to their learning.

Thoughts on the Fauxpology

Posted: October 14, 2012 | Author: | Filed under: Education | Tags: , , , , , , , , , , , , , , , , , , | Leave a comment

We’ve had some major unpleasantness in the Australian political sphere recently and, while I won’t bore you with the details, a radio announcer has felt it necessary to apologise for a particularly unpleasant comment that he made about the Prime Minster, and the recent death of her father. It was not, I must say, either the most heartfelt or actually apologetic apology that has ever been delivered and the Prime Minster, who quite rightly has better things to do, has chosen not to take this man’s personal phone call for an apology. And, of course, neither should she feel that she has to. Let me state this in plain terms: the offender does not gain the right to demand the way in which an apology is presented, if they wish to proffer an apology. However, let me cut to the chase (for once) and say that an apology without a genuine sense that you have done something wrong, for which an apology is deserved and that will change your behaviour in future, is worthless.

In this case, the broadcaster has previously apologised for remarks, including that the legally elected and sitting Prime Minister of Australia be put in a ‘chaff’ bag and thrown out to sea. However, his apology for the chaff bag comment may have to be scrutinised, in light of what happened at the dinner function at which he made further deliberately offensive and unsubstantiable claims.  At this event he, in between scurrilous remarks, signed a jacket made out of, you guessed it, chaff bags. Therefore, at least in the chaff bag case, it would appear that his previously apology was without conviction and possible not heartfelt: hence, worthless. He did not feel genuine regret or change his behaviour. In fact, if anything, he was now extending his behaviour and disrespect by aligning his signature with a physical representation of his statements.

When public figures mouth the words of regret, yet do not change or feel regret, we are in the territory of what has been neologised as the fauxpology. (Wikipedia refers to this as the Non-apology apology, if it has the form of an apology but does not actually express the expected contrition.) Let me give you some example words (not from said broadcaster I hasten to add):

“My recent comments may have offended some people and, if they did, then I wish to apologise.”

You are not sorry for the action, but you are sorry only because someone has taken offence, or your actions have been uncovered. Ultimately, the idea here is to say ‘sorry’ in such a way that it appears that you have sought, and may be granted, forgiveness without having to actually express responsibility. Of course, if you aren’t responsible for the problem and can move this to being the problem of the people that you’ve offended, then why should you change your behaviour at all? The example above is an “If apology”, where you are only apologising on a conditional basis. Other fine examples include such delightful phrases as “Mistakes were made” because, of course, one is studiously avoiding saying who made the mistakes.

The major problem with the fauxpology is that it is effectively a waste of time. Without a genuine desire to actually avoid the problematic behaviour, the only thing that may change is that the offender is more careful not to get caught. What bothers me from an educational sense is how pervasive these unpleasant non-apologies are.

I have too many students who feel that some sort of fauxpology, where they are sorry that an action has occurred but it is mysteriously not connected to them, is going to make things all better. I’m pretty sure that they haven’t learned it from me because I try to be honest in my apologies and then change things so that it doesn’t happen again. Am I always up to that standard? I’m probably pretty close and I strive to be better at it – but then again, I strive not to be a schmuck and sometimes that doesn’t work either. This separation of responsibility from outcome is a dangerous disconnection. It is most definitely someone’s responsibility if work didn’t get handed in on time and, while there are obvious exceptions and the spirit of charitable interpretation is still alive and well, a genuine recognition of whose responsibility it is leads one towards self-regulation far better than thinking of the work as something that is associated by accidental proximity rather than deliberate production.

I’m lucky in that I rarely expect my students to do anything where they feel they should be contrite (although there are examples, including being rude or disrespectful to their peers, although I wouldn’t push them all the way to guilt on that) but apologising for something as a recognition that whatever it was is both undesirable and now something to be avoided is essential, when you are actually at fault. But it has to be genuine or there is no point. I loathe being lied to so a false apology, especially when immediately backed up by recidivism, is a great disappointment to me.

My students are responsible for their work. I am responsible for their programs, assessment, and ensuring that they can achieve what is required in a fair and equitable environment. If I get it wrong, then I have to admit it and change behaviour. Same for the students. If something has gone wrong, then we need to work out who was responsible because we can then work out who needs to change things so it doesn’t happen again. This isn’t about ascribing punishment or blame, it’s about making things work better. The false apology, like foolish punishment, is easy but useless. As an example. I cannot think of a more useless punishment than writing lines on a blackboard, especially as the simple mechanics of this action lends itself to a deconstruction of the sentence into a form where the meaning is lost by the fifth time you’ve written “I will not challenge the ontological underpinnings of reality” but have really written “I I I I I I …” “will will wll wll wl wl” and getting steadily more squiggly. But this is useless because it is not really tied to the original offence (whatever it happens to be – talking in class, making fart sounds, shuffling the desk) and it has no teaching value at all. This punishment is the equivalent of the fauxpology in many ways: it looks like it’s doing something but not only does it not achieve its aims, it actually works against positive alternatives by providing an easy out.

I’m very disappointed by the public figures who recite these empty phrases, because the community and my students learn their empty words and think “If they can get away with it, so can I” and, ultimately, my students can’t. It’s a waste of their very valuable time and, at some stage, may lead to problems for the vast majority when someone demands more than a fauxpology and there is no real character substance to provide.

Workshop report: ALTC Workshop “Assessing student learning against the Engineering Accreditation Competency Standards: A practical approach. Part 2.

Posted: October 13, 2012 | Author: | Filed under: Education | Tags: , , , , , , , , , , , , , , , , , , , , , | Leave a comment

Continuing on from yesterday’s post, I was discussing the workshop that I went to and what I’d learned from it. I finished on the point that assessment of learning occurs when Lecturers:

  • Use evidence of student learning
  • to make judgements on student achievement
  • against goals and standards

but we have so many other questions to ask at this stage. What were our initial learning objectives? What were we trying to achieve? The learning outcome is effectively a contract between educator and student so we plan to achieve them, but how they fit in the context of our accreditation and overall requirements? One of the things stressed in the workshop was that we need a range of assessment tasks to achieve our objectives:

  • We need a wide variety
  • These should be open-entry where students can begin the tasks from a range of previous learning levels and we cater for different learning preferences and interests
  • They should be open-ended, where we don’t railroad the students towards a looming and monolithic single right answer, and multiple pathways or products are possible
  • We should be building students’ capabilities by building on the standards
  • Finally, we should provide space for student ownership and decision making.

Effectively, we need to be able to get to the solution in a variety of ways. If we straitjacket students into a fixed solution we risk stifling their ability to actually learn and, as I’ve mentioned before, we risk enforcing compliance to a doctrine rather than developing knowledgeable self-regulated learners. If we design these activities properly then we should find the result reduces student complaints about fairness or incorrect assumptions about their preparation. However, these sorts of changes take time and, a point so important that I’ll give it its own line:

You can’t expect to change all of your assessment in one semester!

The advice from Wageeh and Jeff was to focus on an aspect, monitor it, make your change, assess it, reflect and then extend what you’ve learned to other aspects. I like this because, of course, it sounds a lot like a methodical scientific approach to me. Because it is. As to which assessment methods you should choose, the presenters recognised that working out how to make a positive change to your assessment can be hard so they suggested generating a set of alternative approaches and then picking one. They then introduced Prus and Johnson’s 1994 paper “A critical review of Student Assessment Options” which provide twelve different assessment methods and their drawbacks and advantages. One of the best things about this paper is that there is no ‘must’ or ‘right’, there is always ‘plus’ and ‘minus’.

Want to mine archival data to look at student performance? As I’ve discussed before, archival data gives you detailed knowledge but at a time when it’s too late to do anything for that student or a particular cohort in that class. Archival data analysis is, however, a fantastic tool for checking to see if your prerequisites are set correctly. Does their grade in this course correlate with grades in the prereqs? Jeff mentioned a student where the students should have depended upon Physics and Maths but, while their Physics mark correlated with their final Statics mark, Mathematics didn’t. (A study at Baldwin-Wallace presented at SIGCSE 2012 asked the more general question: what are the actual dependencies if we carry out a Bayesian Network Analysis. I’m still meaning to do this for our courses as well.)

Other approaches, such as Surveys, are quick and immediate but are all perceptual. Asking a student how they did on a quiz should never be used as their actual mark! The availability of time will change the methods you choose. If you have a really big group then you can statistically sample to get an indication but this starts to make your design and tolerance for possible error very important.

Jeff stressed that, in all of this assessment, it was essential to never give students an opportunity to gain marks in areas that are not the core focus. (Regular readers know that this is one of my design and operational mantras, as it encourages bad behaviour, by which I mean incorrect optimisation.)

There were so many other things covered in this workshop and, sadly, we only had three hours. I suggested that the next time it was run that they allow more time because I believe I could happily have spent a day going through this. And I would still have had questions.

We discussed the issue of subjectivity and objectivity and the distinction between setting and assessment. Any way that I set a multiple choice quiz is going to be subjective, because I will choose the questions based on my perception of the course and assessment requirements, but it is scored completely objectively.

We also discussed data collection as well because there are so many options here. When will we collect the data? If we collect continuously, can we analyse and react continuously? What changes are we making in response? This is another important point:

If you collect data in order to determine which changes are to be made, tie your changes to your data driven reasons!

There’s little point in saying “We collected all student submission data for three years and then we went to multiple choice questions” unless you can provide a reason from the data, which will both validate your effort in collection and give you a better basis for change. When do I need data to see if someone is clearing the bar? If they’re not, what needs to be fixed? What do I, as a lecturer, need to collect during the process to see what needs to be fixed, rather than the data we collect at the end to determine if they’ve met the bar.

How do I, as a student, determine if I’m making progress along the way? Can I put all of the summative data onto one point? Can I evaluate everything on a two-hour final exam?

WHILE I’m teaching the course, are the students making progress, do they need something else, how do I (and should I) collect data throughout the course. A lot of what we actually collect is driven by the mechanisms that we already have. We need to work out what we actually require and this means that we may need to work beyond the systems that we have.

Again, a very enjoyable workshop! It’s always nice to be able to talk to people and get some really useful suggestions for improvement.

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