Browsing by Author "Boogere, James"
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Item A Bird’s Eye View of a Sustainable Learning Game Design(Springer, Cham., 2021) Boogere, James; Oyo, Benedict; Eilu, Emmanuel; Birevu Muyinda, PaulWe empirically explore learning games with an aim of empowering learners’ lifelong learning skills to enable them deal with complex situations sustainably. Learning is better by doing and the relation between learning and fun in games is essentially much deeper. It is also important for the players to clearly know the game system, which involves goals, entities and rules, in order to improve the vital individual social skills required to succeed. This chapter presents learning designs as a major determinant of motivation towards meaningful learning and challenge learners through continual provision of new aspects to learn, discover and develop oneself. Prior consequences designate that holistic learning game practices are more intense in a home compared to a school context. Moreover, the overall influence of context on perceived learning is significantly smaller than that of other experimental factors such as identification and enjoyment.Item Envisioning Life-Long Learning Skills Report Review On Artificial Intelligence And Machine Learning (AI/ML)(Artificial Life and Robotics, 2020) Boogere, James; Eilu, Emmanuel; Nakatumba, JoyceArtificial intelligence and machine learning (AI/ML) are running almost all aspects of our daily lives. However, there is little impact of these recent advancements in AI/ML on the education sector. We highlight issues why education is lagging behind while bearing in mind that education is highly structured and processoriented compared to most of other sectors that are either service or product-oriented. We explore this challenge courtesy of numerous reports such as “The Envisioning Report for Empowering Universities, 2nd edition, April 2018” from two folds: What are the expected benefits? What are the risks and opportunities for public education actors? This desk research recommends natural language processing and/or learning analytics (LA) as a vital technique in fostering individualised visualisation of life-long learning skill.