I wanted to do my game review on a game that would be relevant to my professional work – supporting the analysis of qualitative data. Initially, I looked at what educational games existed in that area.  Most of the educational games I found were aimed at K-12 students.  The people I teach are post-graduates and professional researchers.  I explored what was available for higher education. I did not find any games about analyzing text or visual media. I did consider ‘Revolution’ which is MIT’s Education Arcade’s multi-player role-playing game set on the eve of the American revolution.   http://www.educationarcade.org/node/357 It is a conversion mod of the pc game Neverwinter Nights. It is aimed at high school students but I thought it offered interesting possibilities of exploring multiple realities and perspectives on a social phenomenon.  However, the player is not acting as an analyst, so the game was not really what I was looking for.

I then decided to look at entertainment games – to see if any of them could be adapted for my purpose.  I felt that detective games would be the closest to the analysis of unstructured data. It puts the player in the role of an analyst.  I played Sleuth. http://www.playsleuth.com/ While I enjoyed playing it, I felt it was not what I was looking for. While the detective is in the role of analyst, he/she does not analyse material. It is more of a strategy game. You choose your character and design your avatar.  Each character has different skills so you need to devise a strategy that take advantage of your given skills and allows you to build skills in other areas.  The game automatically analyses the information you are able to collect.

I also looked at And then there was none – based on an Agatha Christie novel.  http://www.gamespot.com/pc/adventure/andthentherewerenone/index (My hard drive became corrupted after I played this game – I have no idea if this was just a coincidence.)  Again, it was not quite what I was looking for.  It was more about searching and collecting clues rather than analysis.

However, In Memoriam, released in the States as Missing: Since January was more of what I was looking for. http://www.inmemoriam-thegame.com/gb/gam1.htm  It is an adventure game mystery that mixes the game world with real world internet searches.  It also involves the analysis of textual (including emails) and video material.  The player is themself in this game.  I like the mixture of game world and real world and I think this game is the closest to what I think can be used to help in developing skills in analysing qualitative or unstructured data.

• engagement in critical thinking and reflection tasks before the beginning/at the end of a lesson
• intra-/inter-group engagement
• first-person involvement
• cross-curricular learning (History, e.g.)
• the provision of 'rich tasks', whereby pupils can produce non-fiction investigations, engage with World War poetry
• group collaboration and competition (Whitton)
• used a source for personal journal writing

Week 8

I have been thinking about Gee, Whitton in conjunction with the readings in Week 4 of my MEd (Chartered Teacher) course, which this week focuses on Cognitive Style and Formative Assessment.  Furthermore, do certain games and game genres appeal to users based on the Howard Gardner’s idea of Multiple Intelligence?

Cognitive Style

Richard Riding (Richard Riding , School Learning and Cognitive Style, 2002, David Fulton Publishers, London) defines the term cognitive style as an individual’s preferred and habitual approach to organising and representing information. He goes on to suggest that it may in fact be built into us and influence how we naturally tend to react to events and ideas.

If we recognise the way(s) in which we prefer to work, it allows us to develop strategies to work more effectively or to minimise our weaknesses. Riding proposes that there are different dimensions along which we are placed.

Firstly there is the: wholist – analytical dimension: whether a person organises information in wholes or parts. Secondly there is the: verbal – imagery dimension: whether a person represents information verbally or in mental pictures.

These two dimensions can be seen as if on two continuums, and can be represented as follows:
Within the wholist – analytical dimension wholists would see the overall picture (perhaps missing out on details);

While analytics would see a collection of different parts (perhaps sometimes concentrating on one or two parts to the exclusion of others).

Somewhere in the middle (and perhaps getting the best of both worlds) would be intermediates.

Perhaps this is what Gee is positing re subdomains, if one thinks about Vygotsky’s Zone of Proximal Development (ZPD) theory, and furthermore, I am aware of the multimodal aspect of digital games, and the second dimension is pertinent to the use of such games in adapting delivery for optimum reception by pupils. For instance, is the Nintendo Wii providing the necessary support for the kinesthetic learners as defined by Howard Gardner in his idea of Multiple Intelligences?.

Within the verbal – imagery dimension verbalisers would consider or represent information in words or through word associations while imagers would use mental pictures either of information or of things associated with it. Then somewhere in the middle again would be a group of bimodals.

Riding suggests that verbalisers will prefer stimulating environments with a social group helping them to develop or share meanings while imagers will prefer a more passive, static environment.  Does this have an effect on the predilection of some gamers for online collaborative gaming?  There seems to be little doubt that the pockets of digitial games-based and traditional learning is apposite within a classroom setting.   It would of course be possible to have different combinations of the dimensions, for example an analytic imager or a wholist verbaliser.  Riding goes on to state that someone’s preferred style doesn’t seem to relate to intelligence or ability and that ability would influence the level of performance while style would influence the manner of performance. He also says that it is separate from both personality and gender.

Cognitive style is the preferred manner of working but importantly learning strategies can be learned and developed to support or give alternatives to our first preference.

So, what does this all mean for learning, and in particular digital games based learning?

Well, learning performance is liable to be affected by an interaction between cognitive style and:

I woke up the morning after I posted Team Sonic’s game and suddenly wondered – but is it a game?  We were so focused on getting it done within the time constraints and our own limited time that not only did we not work out our learning objectives in advance but we did not think through what elements of a game we were using. We just assumed it was a game.

It is only now, having tried to construct a game, that the reading we did early on as to what constitutes play and what constitutes a game is starting to come together for me.  Initially, before this course, I never thought what constituted a game was problematic.  After I did the initial reading, I started to realise the multi-faceted nature of games and the different cultural, historical, and theoretical perspectives on play.  But my understanding was in the abstract.  Having now tried to construct a game, I realise how slippery the whole idea of a game as – especially when trying to use it in education.  What is the difference between a learning activity and a game? Was it a game we constructed or a learning activity?

During my chat session with Anna and Fiona, I started to rattle through Whitton’s characteristics of games, listing the characteristics that I felt was lacking in our climate change game.

·         It is not competitive (but I added that I thought competition was not necessary in a game)

·         There is no winner – linked to their being no competition above

·         There is no indicator of progress during the game (no scoring etc.)

On the positive side I said:

·         The fantasy element made it game-like

·         And collaboration was done outside of Google Earth in the reflection piece which was to consolidate the learning that was achieved during exploring climate change on Earth – the fantasy element was carried over into the reflection piece to keep the continuity with Google Earth; in fact, while the reflection piece was outside of Google Earth and in a wiki, it was part of the game – as the reflection is the goal – the ‘report’ to be given to the Mission Chief

Anna asked if there was an element of challenge – and yes, there is a challenge in working out the clues which start easy but get progressively harder (to be honest we did not deliberately design it that way – it just worked out that way) but I think the reflection at the end is the most challenging piece.

There was a goal, as mentioned above, the report to the Mission Chief on evidence of climate change on Earth.

The game allowed exploration – players could explore and read the other Met Office reports which we did not specifically direct them to – they could play with the timeline – to see how climate change will impact some parts of the Earth before other parts, etc.

There is no interaction with other players during the Google Earth part of the game. However, the reflection piece was designed so there would be interaction in that a) players could see each other’s reports and b) each team, in the end, would have to compile a final report collaboratively.

The reactions to playing the game have been very positive. Everyone said they enjoyed it. And some people have been writing reflective reports on their experience.

So it does have characteristics of a game – despite my initial doubts.  I think the cohesiveness of the fantasy is what holds it together as a game. Nicola, in her report, said the anagram, while cute, should have been more meaningfully tied to the narrative we constructed in Google Earth.  I agree but given the time we had, we had to make a quick decision on the anagram.

"The learner remains flexible, adapting performance in action." - 29. The Transfer Principle

This is key to effective learning and teaching.

I like Whitton’s view that games can be seen as a constructivist learning environment  - probably because a constructivist approach to learning fits well with the kind of teaching I am involved in – teaching and facilitating the qualitative data analysis process.  In fact, Whitton feels that games have greatest relevance to higher education learning in the development of high level transferable skills.  She defines these as:

·         Analysis

·         Critical evaluation

·         Autonomy

·         Team working

All the above are relevant to the research process and I hope to develop a game that can demystify the qualitative data analysis process. 

Whitton places a high value on collaborative learning. She quotes Wilson:

"a place where learners may work together and support each other as they use a variety of tools and information resources in their guided pursuit of learning goals and problem-solving activities" Wilson 1996:5

However, she stresses that the collaboration does not have to be part of the game but can be incorporated as part of the learning package for a particular set of learning outcomes.

Last year I took the Effective Course Design module and constructed a 10 week online course on qualitative analysis aimed at doctoral students or researchers new to qualitative analysis.  While each student on the course would come with their own research project, I constructed an initial collaboration activity where they were working together on the same material which was followed by individual AND cooperative work. They were developing analysis on their own individual project but the activities were structured so that on a regular basis they would report back their analysis-in-process to the small group they were assigned to.  And they would comment on each other’s work –as well as learn from each other.  I am thinking of designing a game for the collaborative activity part of this course where they are all working on the same material which either could replace the current collaborative activity in this course or could form part of new course aimed at those people who do not have a research project yet but who would like to learn about analyzing qualitative data. 

Whitton points out that while games are good at providing experiences and applying theories, they are not very good at providing meaningful reflection and abstract conceptualization.  For the kind of analysis game I would want to construct, reflection and conceptualization are very important.  Whitton specifies a number of additional activities that can support reflection and abstract conceptualization.  The ones I can see supporting developing an analysis include reflective diaries, small group work and production of artefacts such as presentations. 

Of course, I am jumping the gun here.  Whitton recommends starting with the learning objectives of a course and consider how you would normally meet them.  As I have already created an online course specifying my learning objectives, I intend to start with that.  At the moment, I think I can see how a game could fulfil the initial collaborative element of my learning objectives.  But I need to reflect on this further.  Then I can move into developing what Whitton calls a game concept specification:

·         Learning objectives

·         Genre

·         Brief description

·         Plot

·         Gaming activities

·         Constraints

·         Collaboration

·         Reflection

Reference

Whitton, N. (2010) Chapter 6, 'Designing a Digital Game for Learning'. In Learning with Digital Games: A practical guide to engaging students in higher education, London: Routledge.

I feel we have gone into constructing our learning activity rather back to front.  We were given Google Earth as a platform to design a game and my initial response was - ??? – what kind of a game can we construct using Google Earth? This was a bit exasperated by the fact that I had already a long weekend away booked so I knew I would have less time to think about this. Luckily the deadline was extended – thank you Fiona and Anna.

I already had Google Earth on my computer and I have played with it before – mainly exploring different parts of the world – tracking my daughter when she went to Chile, last year – that sort of thing. But I have never created anything in Google Earth – although I have read placeholders and information that other people had put on it.

Before going away I was quite focussed on the reading for the week (see previous blogs) and doing some preliminary research to find out a) what games have been developed using Google Earth, b) educational resources using Google Earth and c) technical information, online tutorials etc on creating placemarks etc.

I was surprised by the number of educational resources (as well as other types of resources) that has been created with Google Earth.  One of them was a resource created by the UK Met Office on the effect of climate change on the Earth – with a timeline from 1999-2099.  Helen had mentioned climate change as a possible theme for our game and this Met Office climate change ‘skin’ seemed a good platform to build a game.  My Sonic Group team members liked the idea.  I immediately focussed on learning the technical aspects of creating placemarks etc and so did my team members.  I wasn’t focussed on what the learning objectives of the game were. I had a hazy idea that the players would learn about climate change from traversing the information the Met Office had already put in the climate change Google Earth ‘skin’.  I started to think about how game players could interact by taking on different roles in different parts of the world – with the idea that problems in one part of the world would also have impacts on other parts of the world – but quickly realised that was too ambitious.  Wesley showed us how we could create a quiz in Google Earth and that seemed a more realistic approach. So we have divided up the work in constructing the quiz but haven’t set out our learning objectives yet – although I can see we can do that retrospectively.  Given the time constraints and the skills we had to learn, we had to do this backwards.

However, I think we needed to first understand the affordances of Google Earth and what was possible before we could think of what kind of learning outcome would be best achieved within Google Earth. And I think the process I described above was doing that. So maybe it was not really so backwards.  This game is a first exploratory attempt to see what is possible using Google Earth. And our climate change topic is something that does uses the affordances that Google Earth offers.

Pedagogy & Design

Motivation (Whitton, 2010)

On a personal level, I value my free time – what little time is afforded to a secondary school teacher with a young family and who is undertaking two separate course of study at postgraduate level – any of which tries to contain elements of newspaper and short story/poetry reading.  I would categorise myself as one who would need to see an educational purpose or that the completion of domestic and academic activities on the peripherary were not being undermined by spending time at a console or PC playing a game.

According to Whitton (p. 37) motivation and purpose are paramount to digital games-based learning; users need to be in control, and for games in learning, users will accept them if they are the most effective way of learning – this is the most important aspect (p. 40-41).  Games have the ability to engage but must have sound educational principles in order that the play does not obfuscate the learning outcome(s).

Achieving the necessary immersion – whereby players (learners) are fascinated and increasingly challenged – relies on the authenticity of and identification with a particular context for a user.  This leads to the experience of ‘flow’ (as defined by Csikszentmihalyi) whereupon the player enters into the optimal state of learning, and is in complete control of this experience.   But motivation is seen as a complex process.  Students’ intrinsic motivations for school decline grades 3 to 9, as a result of extrinsic motivations – grades, expectations, etc. Fun, joy, meaning, challenge have been stripped out.  So what are the differences between this traditional school-based learning and digitial games-based engagement?

Malone & Lepper developed a taxonomy of four factors in intrinsic motivators when playing games: game challenge, curiosity, control and fantasy, with ten additional factors being defined by Tuzun (2004): identity presentation, social relations, playing, learning, achievement, helping, rewards, immersion, uniqueness and creativity.

Relating to the idea of the expectations place on appropriateness of a learning activity or game, the greatest potential is in developing high-level, transferable skills: autonomy, analysis, critical evaluation and team working.  Experience, discussion and application is the constructivist approach, a theory deployed by Vygotsky.  In order to support this optimized state of ‘active learning’ constructivism suggests:

- Situated cognition
- Cognitive Puzzlement
- Social Collaboration 

and I would suggest that many digitial games – specifically designed for learning or otherwise - offer such a constructivist learning environment:  "a place where learners may work together and support each other as they use a variety of tools and information resources in their guided pursuit of learning goals and problem-solving activities."

Honebein (cited in Whitton, 2010) presents 7 pedagogic goals of the design of constructivist learning environments: 

·          Responsibility for how/what they learn
·          Multiple viewpoints
·          Ownership of learning process
·          Authentic and relevant
·          Real-life activities
·          Support social learning
·          Multiple modes of learning

Additionally, game play must be offered in conjunction with periods of structured reflection, whereby the player can reflect on the activities just taken place with a view to tuning and restructuring their schematic models for use in further play or in transferable application.

At the heart is the learner or the player – the teacher acts merely as a learning facilitator, with opportunities for communities of practice (both bodied and disembodied) delivering additional critical support.  This ‘experiential learning’ (Kolb) requires feedback being given to the user in a timely and relevant format in order for the user to check their progress.

So, digital games can support the main educational theories of learning: active learning and constructivism, experiential learning, collaborative learning and problem-based learning.  

What succeeds is academic learning disguised as contextualized with important social issues, aesthetically-rich dramatic play.