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Researching Gamification Software Design

Researching Gamification Software Design

08/02/2021 By debkr

I am currently conducting a survey into gamification software design to explore software development practitioners’ views and experiences when designing gamified software products. This survey forms part of my MSc Software Engineering (Open University) research project.

If you’re a software practitioner involved in designing and producing gamified software apps or products, it would be very helpful if you can complete the survey. Just click on the link below to be taken to the anonymous questionnaire hosted securely in Microsoft Forms.

SURVEY LINK (opens in new browser tab)

You won’t need to provide any personal identifying information or email address – unless you’d like to receive a summary of the survey results once completed, or take part in a further online research interview later this month – both of which are completely voluntary).

Data remains anonymous during data gathering, analysis and publication. Results will only be published to the Open University as part of academic submissions, and in the anonymised survey results PDF which will go only to those participants who requested it).

To provide a bit more info on the research project – to help you decide if you’d like to take part – the aims of the research are to:

  • understand what design challenges software development practitioners encounter when designing gamified software products
  • explore practitioners’ views and experiences about the software engineering practice of Design Expertise Reuse within the context of gamification and gamified software design

It is aimed at gamification software practitioners only (not end-users of such software), but your role in relation to gamified software design might include:

  • an entrepreneur running a gamification software development company
  • a director or manager leading or manging a company or department involved in producing gamified software
  • a designer, developer or tester of gamified software
  • an architect or analyst involved in a gamification software project
  • a project manager, product manager or product owner working on such projects

That includes developers and teams working on in-house projects, projects for clients, projects which involve outsourcing to external development partners, and also the development of gamification platforms or gamification engines.

Gamification consultants who advise clients on gamification app selection, design and development are also invited to participate.

Responses are invited from practitioners globally, although the questionnaire is conducted in English language only.

The questionnaire consists of multiple choice and several ranked-response questions, and should take about 10-15 minutes to complete.

Responses are being accepted until 28th February 2021. Please also feel free to share the questionnaire link with any suitable colleagues.

SURVEY LINK (opens in new browser tab)

Thanks very much in advance for your participation.

Definitions Used
Gamified Software refers to a software product intended for a serious purpose (such as learning, health, etc) rather than a game purely for entertainment.

Design Expertise Reuse (or simply Reuse) refers to the Software Engineering practice of applying formally encapsulated design knowledge to multiple software design problems. It may involve artefacts, methods, tools and techniques such as: design principles, design patterns, game lenses, and formal design frameworks or methods produced in-house or by others.

Data Protection Statement All responses remain anonymous at all times. No personal identifying information will be included within the research results and associated academic submissions. Survey data will be kept only for the duration needed to complete the research and associated academic submissions. Any email address provided will be stored securely, never be shared, and only used for the purpose for which given. All email addresses will be deleted at the end of the research project.

Filed Under: 21st Century Careers, Blog, Gamification, Gamified Software, Gamified Software design, Gamified Software Development, Learning/Development, MSc Research, Programming, Software Development, Software Engineering Tagged With: research, research questionnaire, T847

Effective Study Skills 2

Effective Study Skills 2

31/03/2017 By debkr

This post is a continuation of my summarising of learnings from Dr Oakley’s MOOC on Learning How to Learn (see References below) together with thoughts and reflections on that course in relation to other courses currently being studied. Related posts can be found under the tag Learning About Learning.

 

—

The Illusion of Competence

the employing of ineffective study methods which fool the mind into thinking it’s learned the information, when in fact it hasn’t

Overlearning

where the information is engrained in your mind but in unhelpful & inefficient ways, making reaccessing that information more difficult

Interleaving

the strategy of providing variety into your study routine – different subjects, different learning modalities, and so on – to make it more interesting & engaging which helps with information retention

 


References:

Ison, R. (2010) Systems Practice: How To Act In A Climate-Change World, Springer, London.

Learning How to Learn: Powerful mental tools to help you master tough subjects, University of California, San Diego. Taught by: Dr Barbara Oakley & Dr Terrence Sejnowski. Available at: Coursera.org.

Filed Under: Artificial Intelligence, Ed Tech, Learning/Development, Personalised Training Plan Tagged With: learning about learning

Educate Thyself

Educate Thyself

24/02/2017 By debkr

Worth reading:
Advice for a Young Investigator by Santiago Ramon Y Cajal

The mediocre can be educated; geniuses educate themselves. [Condorcet]

 

See also:
The Beautiful Brain: The Drawings of Santiago Ramon y Cajal (Amazon.co.uk)

Filed Under: 21st Century Careers, Artificial Intelligence, Blog, Ed Tech, Learning/Development, Personalised Training Plan Tagged With: learning about learning, neuroscience

Effective Study Skills

Effective Study Skills

19/02/2017 By debkr

This post summarises learnings from Dr Oakley’s MOOC on learning How to Learn (see References below for link) together with my own thoughts and reflections on that course together with my Systems Theory post-grad course currently being studied with the Open University and other current studies. Related posts can be found under the tag Learning About Learning.

In particular, I have taken time out from that post-grad module due to feeling really confused, fed up, bored and generally utterly demoralised by my continually unsuccessful attempts to get on with studying that module. Rather than beat myself up about it, I decided to just give myself some time off to go and study a different (albeit, connected) subject. Hopefully it will free up some mind-space and sparks some useful ideas to go towards my next assignment.

Chunking as a Learning Method

Chunking is studying information in small, accessible packages. These chunks are more easily assimilated, since the mind is better able to unite and fit them together into a unified whole. Chunking has been described as a ‘mental leap’ – taking pieces of a jigsaw puzzle and fitting them together to make a whole picture. [Read more…] about Effective Study Skills

Filed Under: Artificial Intelligence, Blog, Ed Tech, Learning/Development, Personalised Training Plan, Systems Thinking Tagged With: learning about learning, TU812

Perception

Perception

12/02/2017 By debkr

Asked question: What else do I need [to study/learn] for AI?
Answer on waking: Perception

Thinking on this a little, I realise perception must be key bcs this is the route/mechanism by (or, gateway through) which one experiences the world (= other) & from this one can begin to sort, categorise, pattern-seek & understand.

A realisation stemming from this is: without perception there can be no cognition (which I say must also be vital for intelligence) bcs perception creates the stimuli which ‘feed’ the cognitive processes.

Another key realisation is: ‘discrimination’ (used in its true sense) is the basis of intelligence. If you can’t perceive difference then you can’t create categories thus you can’t compute anything about either ‘self wrt other’ or ‘other wrt self’ or even ‘other1 wrt other2’, & so on. [Read more…] about Perception

Filed Under: Artificial Intelligence, Blog, Learning/Development Tagged With: learning about learning, neuroscience

Focussed vs. Diffuse Thinking

Focussed vs. Diffuse Thinking

07/02/2017 By debkr

Some reading materials (highlighted = likely useful for TU812 TMA03):

Chapters 1-3 of A Mind for Numbers are especially helpful in providing helpful information and additional exercises related to the materials of Module 1.

Worthwhile Additional Popular Works

  • Scott Young, “I was wrong about speed reading: Here are the facts,” January 2015. This excellent blog post nicely summarizes what is known in relation to speed reading.
  • John Dunlosky, “Strengthening the Student Toolbox: Study Strategies to Boost Learning,” American Educator, Fall, 2013. This excellent, comprehensive article is written by one of the top researchers in learning.
  • Michael Friedman, “Note-taking tools and tips,” (October 15, 2014), Harvard Initiative for Learning and Teaching. This article, and an article embedded within it, (“Notes on Note-Taking: Review of Research and Insights for Students and Instructors“), have very useful insights into how to improve your note taking.

[Read more…] about Focussed vs. Diffuse Thinking

Filed Under: Artificial Intelligence, Blog, Ed Tech, Learning/Development, Personalised Training Plan, Systems Thinking Tagged With: learning about learning, neuroscience, TMA03, TU812

Learning About Learning

Learning About Learning

05/02/2017 By debkr

A key theme of part three of the systems module TU812 is ‘learning about learning’, and this course on Coursera by Dr Barbara Oakley – which covers that from one angle – came highly recommended: http://www.coursera.org/learn/learning-how-to-learn. It’s subtitled ‘powerful tools to help you master tough subjects’, which is definitely the kind of help I need right now with this systems course. The MOOC course is, I believe, in the top 3 on Coursera, although it’s worth pointing out the focus is on helping you with mathematical or scientific subjects. Yet the ideas and study tips should be extendable across to more abstract and wordy subjects (the ones I struggle most with).

Two Types of Thinking: Focussed and Diffuse

If we understand something about how the brain works, we can develop and deploy strategies to help us learn more optimally. As humans we have two thinking modes – with Dr Oakley refers to as ‘focussed’ and ‘diffuse’. These are mental states where we’re, respectively, concentrating really hard on something (like reading & note-taking from a course text) or allowing our minds to wander and day-dream (which is, of course, my preferred mental state!). Another way to think of the two different states is that focussed is looking at the details (a church within the landscape), while diffuse is looking at the much bigger picture (drinking in the whole scene as far as the eye can see). [Read more…] about Learning About Learning

Filed Under: Artificial Intelligence, Blog, Ed Tech, Learning/Development, Personalised Training Plan, Systems Thinking Tagged With: learning about learning, TMA03, TU812

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