Teaching at scale: engagement, assessment and feedback – notes from reading group

Chris read #53ideas 27 – Making feedback work involves more than giving feedback – Part 1 the assessment context. A great little paper full of epithets that perfectly describe the situation I find myself in. ‘You can write perfect feedback and it still be an almost complete waste of time’. ‘University policies to ensure all feedback is provided within three weeks seem feeble’.’On many courses no thought has been given to the purpose of the learning other than that there is some subject matter that the teacher knows about’. ‘Part time teachers are seldom briefed properly about the course and its aims and rationale, and often ignore criteria’. The take home message, for me, was that the OU is an exemplar in the area of giving good, useful, consistent feedback even when the marking load is spread over a number of people: ‘If a course is going to hire part-time markers then it had better adopt some of the Open University’s practices or suffer the consequences.’

Jane recommended: Sea monsters& whirlpools: Navigating between examination and reflection in medical education. Hodges, D. (2015). Medical Teacher 37: 3, 261-266. Interesting paper around how diverse forms of reflective practice employed by medical educators are compatible with assessment. She also mentioned “They liked it if you said you cried”: how medical students perceive the teaching of professionalism

Suzi read E-portfolios enhancing students’ self-directed learning: a systematic review of influencing factors

This 2016 paper is based on a systematic literature review of the use of online portfolios, with most of the studies taking place in an HE context. They looked at what was required for portfolio use to foster self-directed learning. Their conclusions were that students need the time and motivation to use them, and also that portfolios must:

  • Be seamlessly-integrated into teaching
  • Use appropriate technology
  • Be supported by coaching from staff (this is “important if not essential”)

Useful classification: purpose (selection vs learning) and volition (voluntary vs mandated) from Smith and Tillema (2003). Useful “Practical implications” section towards the end.

Suzi read How & Why to Use Social Media to Create Meaningful Learning Assignments

A nice example of a hypothetical (but well thought-through) Instagram assignment for a history of art course, using hashtags and light gamification. Included good instructions and motivation for students.

Has some provocative claims about the use of social media:
“It’s inevitable if we want to make learning relevant, practical and effective.”
“social media, by the behaviours it generates, lends itself to involving students in learning”
Also an interesting further reading section.

Suzi read #53ideas 40 – Self assessment is central to intrinsic motivation

Feeling a sense of control over learning leads to higher levels of engagement and persistence. If possible this would be the what, how, where and when. But “taking responsibility for judgements about their own learning” – so good self & peer assessment – may be enough. Goes through an example of self & peer assessment at Oxford Polytechnic. Challenging to our context, as this was highly scaffolded, with the students practicing structured self-assessment for a year before engaging in peer assessment. Draws on Carl Rogers principles for significant learning. Interesting wrt the need to create a nurturing, emotionally supportive space for learning.

Suggested reading

Engagement and motivation

Social media and online communities

Assessment and feedback

More general, learning at scale

Resilience – notes from reading group

These seems to be a lot of interest in resilience in higher education at the moment. For myself, while I know we can all learn how to better cope with the stuff life throws at us, my initial reaction to the topic with was along these lines:

My impression from these papers is that resilience is not well-defined and interventions, although often very plausible, are not evidence-based. Putting that concern aside, the techniques which seemed most suited to be incorporated in university education were:

  • building nurturing social networks,
  • fostering a sense of purpose, and
  • encouraging reflection.

I read Resilience: how to train a tougher mind (BBC Future) and Jackson, D., Firtko, A. and Edenborough, M. (2007) ‘Personal resilience as a strategy for surviving and thriving in the face of workplace adversity: a literature review’, Journal of Advanced Nursing, 60, 1: 1-9.

Resilience is broadly: the ability to keep going in face of adversity and to get back to normal functioning afterwards. It can mean different things in different situations and might not always be wholly positive. For example, one study looked at at-risk youths for whom self-reported resilience meant disconnection and the ability to go-it-alone – not necessarily something to foster.

Both papers talked predominantly about quite extreme situations: children whose schools were close to the twin towers on 9/11, and nurses who work in high-pressure and traumatic environments. In both a lot of the conclusions seem to be based on self-report, for example how people say that they coped under extreme stress.

There are lots of traits, attitudes, and techniques mentioned as helpful for resilience and most of these are thought to be things which can be learned or developed. They include:

  • social support, especially nurturing relationships (including mentoring)
  • faith, spirituality, sense of purpose
  • positive outlook, optimism, humour, seeking the positive
  • emotional insight, for example through reflective journaling
  • life balance

There are several programmes seeking to develop these traits in school children through mindfulness, sometimes mixed with other techniques. These programmes include: Mindfulness in Schools Project (UK), Inner Resilience Programme (US), Penn Resiliency Training (US). The nursing paper does not mention mindfulness, focusing more on hardiness, optimism, repressive coping, and journaling (more stereotypical activities for middle-aged women, perhaps?).

Both papers touch on the idea that you can’t help others to be calm and resilient if you are not resilient yourself, and so on the importance of promoting resilience in those with caring responsibilities (nurses, teachers).

There are no magic bullets though and nobody claiming large or long-lasting effects for any intervention (once it’s finished). What we have is a bag of techniques and ideas.

Threshold concepts – notes from the reading group

Suzi read Before and after students “get it”: threshold concepts by James Rhem (2013)

This relatively short article is part general discussion but mostly practical advice. The points I found most interesting were:

  • “Learning thresholds” might have been a better name, according to Ray Land.
  • There’s been success using threshold concepts as a way to get academics talking about their subject from an education point of view. They are something that people “get” and often enjoy engaging with, though they might struggle to agree on a definitive list of concepts for their subject.
  • To get through the liminal space takes “recursive, deep learning” (which I take to mean an immersive experience). This can be difficult to achieve.
  • We need to help students become more resilient and more optimistic, to help them make it through (there was little idea of how to do this though).
  • Trying to simplify the concepts for students may be counter-productive as it may encourage mimicry.

It made me reflect on conversations I’ve had about students mathematical ability when they arrive at university: they might make it through a-level but not really understand or be able to apply the concepts. This seems very similar to the contrast between mimicry and crossing the threshold.

Mike read Demistifying thereshold concepts by Darrell Rowbottom is a critique of the concept from a philosophy professor (2007)

Threshold concepts, as an idea, appeal to me, but I have found them to be a slippery/troublesome concept in themselves. It was interesting to read this critique which critiqued Meyer’s and Land’s ideas, and those who state they have found examples of them in particular subject areas. The paper took issue with:

  • the interpretation of a concept and the application of the theory, which Rowbottom states is closer to ability
  • explores whether these things are bounded in the way the term threshold implies. Thresholds will be relative (different for different people)
  • the woolly language used eg they are ‘significant’ in terms of the transformation that occurs
  • suggests they are not definable and not measurable. You cannot empirically isolate them or test for them (the latter is part of a wider issue for education for me).

Whilst much of this is valid, and as Suzi mentioned, Land would  use a different name if starting from scratch, I still think the idea has some use. I suggest most theories of education are difficult to isolate or prove, and  thinking about the most troublesome and transformative concepts can still help design curricula and focus teaching and learning.

Gem read  What’s the matter with Threshold Concepts? by Lori Townsend, Amy Hofer and Korey Brunetti is a guest post on the ARClog Blog (Blogging by and for academic and research librarians, posted Jan 2015).   This short piece was a response to some of the arguments against Threshold Concepts. The authors attempted a reasonable rebuttal of seven main arguments against Threshold concepts (listed below for interest) and they made some good counter-arguments, some with respect to information literacy instruction (discipline-specific).

Arguments against Threshold Concepts

  1. Threshold concepts are aren’t based on current research about teaching
  2. Everything is a threshold concept
  3. Threshold concepts are unproven
  4. Threshold concepts don’t address skill development
  5. Threshold concepts ignore the diversity of human experience
  6. Threshold concepts are hegemonic
  7. Threshold concepts require us to agree on all the things

The authors (I felt) successfully argued that there was theoretical value to using these concepts and helped me appreciate the usefulness of this theory as a pedagogic model (this was discussed further with the reading group). Jargon and woolly language is a real barrier to comprehension and being able to critically appraise different educational theories (for me at least coming from a science background). I have struggled with some theoretical approaches to pedagogy but the Threshold concept model, or at least my understanding of it, is one approach that I see useful and comprehensible from the point of view of both teacher and leaner having related experiences of both to this model.

Their conclusion “it’s useful to think of threshold concepts as a model for looking at the content we teach in the context of how learning works” was very thought provoking.

For me I relate traversing the liminal space as acquiring a new, albeit difficult skill (ability, idea) and then the consolidation of this new acquisition. The application of this new skill occurs only once I have passed through the Threshold and am on the other side (thus able to apply this new knowledge successfully to a task).

Roger readThreshold concepts: implications for game design”. This paper describes a project to develop an educational game covering threshold concepts in information literacy.  The authors give an account of the lessons learnt through the process of designing and testing the game.  They conclude that their original idea of a single player game did not reflect the team-based nature of research, the individual competitive game structure did not match the collaborative educational approach they were trying to model, and opportunities were needed for expert input in the game process. They suggest strategies for future improvements including using more open game structures, incorporating debriefing and offering social as well as individual learning contexts.

Other suggested reading

Tips and examples for large online courses

Lessons learnt at Bristol and elsewhere. Also available as a printable handout: tips and examples for large online courses (pdf).

Developing an idea

Start with the learners. Who are they? What is their motivation (intrinsic and/or extrinsic)? How does the course fit into their lives? What is their journey through the course?

Make sure your team has a shared understanding of what you and others involved are trying to achieve by providing the course. What would success look like? Would it look different to different people?

Look at what other people have done. It can be tempting to fall into familiar patterns of course design. Enrol on some MOOCs to look around. Engage if you can. We’ve selected some examples to get you started (see second page, “Ideas for large online courses” in the pdf).

Planning your course

Keep thinking from the learner’s’ point-of­-view. What is their journey through the course? What are they doing at each stage?

Learners often feel a personal connection with the lead educators. Who will be the face of your course? Will it be one member of staff or a team? Do you need to plan for people leaving the university?

Don’t assume you have to use video for everything. Use video where it really does add something. Learners might well prefer text over a very straight-forward lecture ­style presentation (even a short one).

Video doesn’t necessarily need high production values. Low-­cost DIY approaches to creating video, such as filming on a phone, can be very effective, so long as you have good audio quality.

Learners need support and encouragement to engage. How will students who are less confident (socially, academically, technologically) be supported? Prompt the kinds of activity you want to see, rather than assuming they will happen. Provide clear aims and instructions. Incorporate orienting activities naturalistically within the course. So you might make sure they are encouraged to post, reply, and follow during the first week.

Set clear expectations from the start. As a student, how will I know if my engagement with the course has been a success? What should I hope to achieve? Don’t over-promise ­ it’s ok if the course isn’t life-changing for everyone.

Ideas for large online courses

Pedagogies that scale, alternative approaches, opportunities

Crowdsourcing

Large courses can provide a fantastic opportunity to hear from a wide range of learners, not just the course team. Allow students to contribute their ideas, and make mistakes safely. You could create videos where the course team reflect on this week’s comments, and augment your course materials based on learner feedback.

Finishing with presentations or a competition

An event, such as presenting projects to fellow students or even competing for a prize can be very motivating. Law Without Walls gets students to propose solutions to real-world problems, which are then presented to a panel of judges including venture capitalists.

Assess for learning

Assessment can be a good way to encourage active engaged learning. You might: ask students to reflect at the start of an activity, provide comparison statistics so students can see how their understanding fits within the wider cohort, allow peer review and feedback, or set quizzes for self-assessment.

Face-to-face study groups

Meeting with fellow students can be a great motivator. Learning Circles helps people set up regular public meetings to work through MOOCs with a small group of peers. Other people have used sites like Meetup.

Fast-track vs group working

Some students prefer to fast-track through the material, working as individuals. Others appreciate a longer more collaborative route. And some may want to “lurk”, reading but not engaging in more collaborative activities.

Contributing to something real

Students might contribute to a citizen science project or to a collaborative online space such as Wikipedia. If you plan to do this, make sure you look for advice for educators for the site first, such as Wikipedia for Educators

Digital and physical artefacts

Capturing data and making complex things on a small scale is becoming cheaper and easier. From image/video/audio capture on mobile phones to cheap sensors like PocketLab to Arduino and Raspberry Pi to clubs like Bristol Hackspace and events like Bristol Mini Maker Faire.

Short intense courses

Making a course very short is one way to manage commitment and keep momentum. How to change the world is a two-week challenge for UCL engineers. 700 students from different engineering disciplines are given global challenges to work on.

Students as teachers

Teaching online and coordinating distributed teams are useful skills. Harvard Law School’s CopyrightX hires current students as teaching fellows, each working with a group of 25 students.

Bring in outside expertise

Students can gain a lot from connections with professionals outside of academia. #phonar is an internationally successful photography class (initially made available free online without the knowledge of its host university). One of its strengths is the active involvement of professional photographers.

Try before you buy

Some courses allow students to engage on a lighter level before committing. Innovating in Healthcare from Harvard ran as a MOOC but a couple of weeks in, students had the opportunity to form project teams and apply to be on a more intensive track.

Eyes on the prize

Could you offer something for exceptional contributions to the course? Students from Harvard’s Innovating in Healthcare created video pitches for their business ideas. These were voted on by fellow students, with the winners receiving video consultations on their ideas with the lead academic.

Introduction to digital storytelling – notes from talk at BBC Digital Bristol Week

In contrast to yesterday’s talk, this talk from Colin Savage (BBC) seemed more like a formula for producing digital stories. Central to this were four questions:

  1. What question does it answer?
  2. What character will drive the story?
  3. What structure/platform might fit your story?
  4. What are the emotional touchpoints of the story?

There were some really interesting examples mentioned:

CS talked about all stories needing to answer a question, and touched briefly on reincorporation (“show the gun in act 1, fire it in act 3”). Both seem to relate to the curiosity gap mentioned yesterday.

Cutting a long story short – notes from a talk as part of BBC Digital Bristol Week

This was a panel discussion with Rowan Kerek Robertson (Taylor Kerek) chairing, Sam Bailey (online/video for BBC Radio 1), and Stephen Follows (Catsnake, a production house specialising in short videos often for campaigning charities).

There was discussion of the using different platforms. For SB, for a content idea to be good it must be able to lead to something for all platforms: iPlayer, radio, social (Twitter, Facebook), and Youtube. SF and SB talked about the difference between video content on different platforms based on audience expectations:

  • iPlayer – generally about 30 minutes long, people sitting down to watch telly
  • Youtube – shorter, grabbier, but people are geared up to be watching something
  • Facebook – autoplay without sound, people who just want to see what’s going on

There was discussion about social sharing of content. Shares is often used as a metric, but should be used with caution. If you really want people to watch the the end, or to take action, you need to measure that. SF recommended the book Contagious which, among other things, lists the 5 emotions that cause sharing as: anger, anxiety, awe, excitement, and humour (in Radio 1 parlance – WTF, OMG, LOL). SF said that they’ve found the most successful way to get meaningful shares is to target people “who already care” via blogs. Sites like Buzzfeed might give you lots of people loading your video, but will they actually watch it?

There was interesting detail from SF on how their production process. They start with an understanding of what their clients want: “who do you want to do what?”. From this they write a brief (eg “This film will get women aged 25-30 to share X because it will make them feel like Y”). Key performance indicators need to go in the brief and need to really reflect what the client is trying to achieve. They then have an ideas session with this visible. They don’t have a maximum length for videos (their greatest hit is 8 minutes). Digital allows you to be flexible: embrace that.

Testing has 3 stages.

  1. Informal focus group (friends, friends-of-friends) – just to get the feel of the demographic, not to test out ideas.
  2. Show the video to a few people from that group.
  3. Seeding (targeted Youtube views) to around 1-2k people.

This made it sound relatively light-touch and low-cost – great for higher education.

SF believes storytelling is a key way humans have passed on knowledge, so is a fundamental driver. Knowledge sharing leads to a joy in storytelling (just as the need for food leads to appreciation of cuisine, and reproduction leads to sex being pleasurable). A storytelling technique is the “curiosity gap” – something that isn’t fulfilled until the end (but not by tricking people, more like stringing out a joke so it gets more enjoyable the longer it goes on … and you know when to stop). Koney 2012 is an example of a video that uses this technique.

Relatedly, recent research suggests that men who tell good stories are seen as more attractive.

Games and gamification – notes from the reading group

Suzi read Do points, levels and leaderboards harm intrinsic motivation?

This study attempted to shed light on when/why common gamification techniques (points, levels, leaderboards) harm intrinsic motivation, as measured by the intrinsic motivation inventory (IMI). They found that, for this image-tagging task, intrinsic motivation was not harmed and the number of tags increased with all three interventions. They conclude that these techniques could be useful for some tasks. There are limitations, which the authors acknowledge. In this situation leaderboards, etc don’t mean anything here, they don’t create stress, in other situations they might well.

Suzi watched FOTE12: Nicola Whitton ‘What is the Future of Digital Games and Learning’. This was an interesting short talk, covering interesting examples:

Whitton argues that a key idea from games that’s overlooked is play. She talks about the idea of creating a “magic circle” – a safe space to practice, have fun, and make mistakes. Her suggestions  for considering gamification include: implement some mystery, do something unexpected, be playful, and create a safe space to make mistakes.

Chris read about the Reading Game from Macquarie. This is basically exactly the same as Peerwise, and appears to be defunct – probably because Peerwise has cornered the market. So, I then talked about my recent experiences of Peerwise. We’ve just used it with our first years, with mixed results because they didn’t engage as much as I would have liked, and many people only did the minimum required for credit. However, Peerwise contains a scoring system that rewards students for various kinds of participation, and some people have reported that using this to introduce an element of competition can motivate students to participate. So next year, rather than asking students to do a certain amount of work for credit, they will be asked to achieve a certain score. Watch this space….

Mike looked at Evoke, an online multiplayer game with grand ambitions to help people ‘change the world’ by collectively addressing problems.  Element see relevant to HE and Bristol Futures in particular, whilst parts of the approach would (I suspect) alienate some potential participants.. The idea of coming up with ‘Evokations’ (grand challenges people can respond to) has been used successfully elsewhere. The use of mentors to facilitate, prizes to incentivise seem sound. Evole had a time-based (weekly) structure with people being drip fed the stages, which reminded me of the Twelve days of Twitter course. The thing that might be off-putting to some is the suggestion that people take on superhero-like persona. The point scoring part looked complicated, but may have worked to motivate some.

Roger read Lameras (2015) Essential Features of Serious Games Design in Higher Education . This paper provides some useful scaffolding for teachers thinking about using games or gamification techniques. Particularly useful were:

  • the game design planner, which provides some prompts for teachers considering using games, eg around learning outcomes, feedback, and the teacher’s role, as well as which types and characteristics of games might be most appropriate in the context, eg types of player choice and challenge, nature of any collaboration or competition, and rules
  • The mapping of learning attributes to game attributes, eg ways in which games can support information transmission, collaboration, and discussion . Key game attributes include  rules, goals, choices, tasks, challenges, competition, collaboration, and feedback, which are evidenced in game features such as missions, puzzles, scoring, progress indicators, leaderboards, branching tasks, gaining / losing lives and team activities

It is evident from reading the paper that there is a strong overlap between game design and good learning design in general, for example in the importance of feedback, challenge, choice and social learning.

MOOCs: what have we learnt? – notes from the reading group

Steve read HEA: Liberating learning: experiences of MOOCs

MOOCs are increasing in popularity. Will this continue? Registrations, drop outs, completions. Will they disrupt HE?

10-person sample size, people who completed Southampton MOOC. Want to understand motivations, opportunities, problems. Discussed findings with five academics who taught/led it. Aware of small scale, so no recommendations – but reflections and suggestions.

Themes from findings:
1 Flexible, fascinating and free – can fit into lives, customise pace, no financial commitment.
2 Feeling part of something – social & international aspect, even for passive ‘lurkers’
3 Ways of learning – prefer sequential over dipping in/out.
4 A bit of proof? – cost sensitivity to purchasing accreditation. Only 1 wanted this.

Four-quadrant model for MOOC engagement, suggests stuff to include. Two axes:
personal enjoyment vs work/education
studying alone vs social learning

Steve also read What are MOOCs Good For?

MOOC boom and bust? High-profile implementation at San Jose failed, inc backlash from academics. General completion/dropout rate  (SB: do we care about drop outs? Most are window shoppers). Experiments and options/opportunities are still expanding. In summary, more data needed but need to moderate expectations – still a place for innovation, also integrating with traditional teaching – take best bits of both?

Roger read: Practical Guidance from MOOC Research: Students Learn by Doing

This is one of a series of blog posts by Justin Reich, who is Executive Director of the Teaching Systems lab at MIT, which ” investigates the complex, technology-mediated classrooms of the future and the systems we need to develop to prepare teachers for those classrooms.”
In this post from July 2015, Justin’s main point is that when developing MOOCs it is better for student learning to focus on development of interactive activities as opposed to high production videos.  He mentions particularly the value of formative peer assessment, synchronous online discussion and simulations “that create learning experiences that students may not have in other contexts”.
If making videos then focus on the early parts of the course, as watching tends to drop off later in courses. There is some evidence that students prefer Khan academy type screencasts with pen animations rather than talking over slides.

Suzi read Why there are so many video lectures in online learning, and why there probably shouldn’t be

The article argues that video is expensive, particularly if you aim for higher production values (which many people do). Their methodology was a literature review, interviews with experts, and studying the use of video in over 20 MOOCs. There’s no evidence that video does (or doesn’t) work as a learning tool, and little or none that high production values add much. Learners wrongly self-report that they learn well from video (cf the study of physics videos – Saying the wrong thing: improving learning with multimedia by including misconceptions

They argue that people should:

  • think twice before using video
  • use video where it really does add value (virtual field trips, creating rapport, manipulating time and space, telling stories, motivating learners, showcasing historical footage, conducting demonstrations, visual juxtaposition)
  • focus on media-literacy for the content experts and DIY approaches (eg filming on mobile phones)

Suzi also read 10 ways MOOCs have forced universities into a rethink

Broadly an argument that MOOCs are changing HE. MOOCs have given universities the impetus to experiment with pedagogy (notably, fewer lectures), assessment, accreditation, and course structure. They have made more common to think in terms of a digital education strategy. They are also disrupting universities: HEIs are no longer the only providers of HE and cheaper degrees are becoming available. They’ve highlighted an unmet demand (for something like evening classes?) and particularly in vocational and practical subjects. Clark talks about global networks of universities being like airline consortia – the passenger buys one ticket but makes their journey over several airlines.

Mike read  ‘7 ways to make MOOCs Sticky’, a blog post by Donald Clark and also ‘Bringing the Social back to MOOCs’ by Todd Bryant in an EduCause review.

The former looked at design to keep a MOOC audience coming back.  The latter looked at how MOOCs can encompass social learning (rather than just provide content). A point of contention between the two is the importance of social learning – overemphasised if you believe Clark and missing from many MOOCs if you believe Todd.

Clark, drawing on MOOC data from Derby’s Dementia MOOC, listed 7 ways to retain learners. For me, his seven points divide into three related areas, audience, structure and the value of social. He framed the discussion in the recognition that we cannot apply metrics from campus courses to things that are free, open and massive  courses. Clark is often a provocative commentator though, and his downplaying of the social is interesting.

An overarching theme of Clark’s post is audience sensitivity, though at times the audience he is most sensitive to seems to be himself. In my experience, this is a tough challenge for MOOCs. To Clark this is about not treating MOOC learners like undergraduates who are ‘physically and psychologically at University’. He rightly states they have different needs and interests. As someone who has helped design MOOCs, it is hard to make something that is all things to all people, and often it is about providing a range of activities, levels and opportunities for learners to engage.

Related to audience sensitivity, Clark sees a value in keeping MOOCs shorter (definitely wise), modular (allowing people to dip into bits), with less reliance on a weekly structure and coherent whole. This is maybe less about keeping learners, and more about allowing them to get what they want from parts of a course. It would be great to come up with ways to evaluate MOOCs for learners who want to take bits of courses. Post-course surveys are self-selecting and largely made up of completers. It is also a tough design challenge to appeal to such learners whilst also trying to deliver depth and growth through a course. Clark is involved in some companies who develop adaptive learning systems, perhaps reflecting a similar philosophy. Adaptive approaches may provide some answers in the future.

Clark is also is not a fan of the weekly structure, at least in terms of following through with a cohort. I think many learners like both the structure and the social, and these is are the main differentiating factors for MOOCs that mean they are not just a set of online materials. Many learners find the event driven, weekly structure motivating, and it is event many enjoy and learn the social element of MOOCs more than the content. I was always keen to draw out the social elements, to give learners the chance to contribute to the course and learn from each other.  Clark is somewhat scathing of social constructivism and the kind of learning emphasised in C-MOOCs.

This is in contrast to Bryant’s article. For Bryant, too many MOOCs are ‘x-MOOCs’ – largely about content and neglecting the social.  Interestingly, he does cite features of EdX and Coursera that have the potential to change this by allowing learners to work in groups and buddy up during courses. We would have really valued such features when I was working on MOOC about Enterprise. FutureLearn is not currently well equipped in this area.  He goes on to explore other ways of helping people collaborate off platform through user groups and crowd sourcing/ knowledge building tools. This would work well for some, but doubtless exclude others. He considers simulations, virtual worlds and ‘alternate reality games’ – simulations played in the real world. These could all play a role, but for me, alongside a core MOOC structure. Bryant sees MOOCs as a potential ‘bridge between open content and collaborative learning’. I suspect Bryant and Clark would value very different kinds of MOOC. Should we try to appeal to both extremes (and all in between) or pitch the MOOC at a particular audience? Probably the latter, but it still isn’t easy.

Psychology and education – notes from the reading group

Chris read Is it time to rethink the way university lectures are delivered?, a short article about a Science paper from 2011. A class of Canadian physics-major freshmen was split into two and one week of material was delivered differently to the two halves of the class. The first half stuck to the tried and tested lecture-using-powerpoint format, whilst the other half used a more ‘interactive’ approach termed ‘deliberate practice’: discussion groups, preclass reading assignments, in-class clicker-questions, online quizzes. Lo and behold, in a test the following week the second cohort scored 74% on a test about the material and the other half  only got 41%, thus illustrating that three days later they could remember the material better. The study has come in for a lot of criticism about methodology – only 211 of 271 students actually took the test (how would the others have altered the results?), and the people that designed it were also the ones that delivered the intervention so may well have been ‘teaching to the test’. However, the general feeling seems to be that though the study is flawed, the conclusions are broadly correct. It also illustrates that having a Nobel Prize allows you to publish anything you like anywhere you want.

Chris also read A better way to practice, 2012 . Written by Noa Kagayame, a Julliard School of Music violinist turned performance psychologist. His argument is that it is better to practice smart than practice hard – take home aphorisms from this article are Practice makes permanent and Perfect practice makes perfect, the implication being that unless you practice correctly you can reinforce bad habits. That seems logical enough. He also argues that more thoughtful study can reduce the time needed for practice and increase the likelihood of successful performance, but I (and many of the commenters below the fold) disagree with him about this. Whilst this might be true at the highest levels, at lower levels when it’s all about training muscle memory there’s simply no substitute for doing it over and over again.

Steve watched The key to success? Grit and read True Grit, Angela Lee Duckworth & Lauren Eskreis-Winkler, 2013. I’d phrase ‘grit’ as perseverance – effort and stamina to achieve something difficult over an extended period of time. In the Tortoise and the Hare, the hare has talent, but the tortoise has grit and achieves more in the end. This summary indicates that talent and grit are often orthogonal, or negatively correlated. In the past persistence was assessed against physical challenges, but this may not relate to long-term mental grit. Modern assessment is by questioning against traits e.g. ‘I finish whatever I begin’. ((to complete)).

Suzi read Stereotype threat and women’s math performance and Mindsets and Math/Science Achievement

Both papers discuss how mindset might affect learning.

Stereotype threat is a stress-induced threat of self-fulfilling a negative and well-known stereotype. For example an elderly man looking for his keys may worry about looking senile, become stressed, and so find it harder to find his keys. The paper puts forward evidence that women’s performance in difficult maths tests can be affected by the threat of fulfilling a negative stereotype: that maths is not a girls subject. Other studies have looked at stereotype threat in relation to racial stereotypes.

Growth mindset is the belief that intelligence can be improved. Not everyone has it, others have a “fixed mindset”. Many people will tell you that they are just not a maths person. The paper states that mindsets can predict maths/science performance over time, and can mitigate for negative effects such as stereotype threat.

Both are interesting and seem plausible. Some of the suggested strategies for reducing stereotype threat and/or increasing growth mindset are:

  • feedback should emphasise the high standards of the test, and that the student has the potential to meet them
  • frame high-stakes tests as “assessing current skills and not long-term potential to learn”
  • praise effort and process, not intelligence
  • describe great mathematicians and scientists as people who loved and devoted themselves to the subject (not born geniuses)