One of the benefits of computer game–based learning is the ability of certain types of game to engage and motivate learners. However, theories of learning and engagement, particularly in the sphere of higher education, typically fail to consider gaming engagement theory. In this article, the author examines the principles of engagement from games designed for entertainment, applies these principles to the design of learning activities, and presents a model of learning engagement. The article examines literature on computer games and engagement, draws together the findings from a series of interviews, and applies these in an educational context. The author hypothesizes five factors that contribute to engagement with a learning activity and provides an example of the use of these factors in practice. The article concludes by considering further potential applications of the model.
Over the past decade, there has been an increased use of playful approaches to teaching and learning in higher education. Proponents argue that creating 'safe' playful spaces supports learning from failure, management of risk-taking, creativity and innovation, as well as increasing the enjoyment of learning for many students. However, the emergent field of playful learning in adulthood is underexplored, and there is a lack of appreciation of the nuanced and exclusive nature of adult play. This article will first examine the theoretical background to the field, providing an initial definition of 'playful learning' through the metaphor of the 'magic circle' and presenting a hypothesis of why play is important for learning throughout the life course. Second, it will frame the field by highlighting different aspects of playful learning: playful tools, techniques, and tactics. The third section of the article provides two case studies that exemplify different aspects of play: the EduScapes escape room design project, which uses playful failure-based learning, and the Playful Learning Conference, which employs playful principles to rethink the conference format. The article concludes by highlighting three central issues for this emerging field: lack of a research trajectory; the language of play; and unacknowledged privilege inherent in the use of playful learning.
Intelligent Tutoring Systems personalise learning for students with different backgrounds, abilities, behaviours and knowledge. One way to personalise learning is through consideration of individual differences in preferred learning style. OSCAR is the name of a Conversational Intelligent Tutoring System that models a person's learning style using natural language dialogue during tutoring in order to dynamically predict, and personalise, their tutoring session. Prediction of learning style is undertaken by capturing independent behaviour variables during the tutoring conversation with the highest value variable determining the student's learning style. A weakness of this approach is that it does not take into consideration the interactions between behaviour variables and, due to the uncertainty inherently present in modelling learning styles, small differences in behaviour can lead to incorrect predictions. Consequently, the learner is presented with tutoring material not suited to their learning style. This paper proposes a new method that uses fuzzy decision trees to build a series of fuzzy predictive models combining these variables for all dimensions of the Felder Silverman Learning Styles model. Results using live data show the fuzzy models have increased the predictive accuracy of OSCAR-CITS across four learning style dimensions and facilitated the discovery of some interesting relationships amongst behaviour variables.
Increased focus on quantifiable performance and assessment in higher education is creating a learning culture characterized by fear of failing, avoidance of risk, and extrinsic goal-oriented behaviours. In this article, we explore possibilities of a more playful approach to teaching and learning in higher education through the metaphor of the 'magic circle'. This approach stimulates intrinsic motivation and educational drive, creates safe spaces for academic experimentation and exploration, and promotes reflective risk-taking, ideation and participation in education. We present a model of playful learning, drawing on notions of signature pedagogies, field literature, and two qualitative studies on learner conceptions of enjoyment and reasons for disengagement. We highlight the potential of this approach to invite a different mind-set and environment, providing a formative space in which failure is not only encouraged, but a necessary part of the learning paradigm.
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