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Powering innovation in artificial intelligence with Open Access research...

Artificial intelligence (AI) and machine learning (ML) together represent a research frontier with a wide variety of discipline specific applications. At Strathclyde researchers in Computer & Information Sciences are exploring improved AI planning models to enable improved decision making by automous agents. Meanwhile, research conducted by the Aerospace Centre of Excellence is using AI and computational techniques to optimize the efficacy of certain astronautic applications. This includes 'global trajectory optimization' to aircraft and spacecraft design, from the planning and scheduling for autonomous vehicles to the synthesis of robust controllers for airplanes or satellites.

AI is also transforming the research agenda within Finance, where researchers are exploring the potential of AI and machine learning in evaluating banking risks and in new, emerging aspects of FinTech.

Explore some of this Open Access research from Computer & Information Sciences, Aerospace Centre of Excellence and Finance. Or explore all of Strathclyde's Open Access research...

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Teraoka, Eishin and Ferreira, Heidi J. and Kirk, David and Bardid, Farid (2020) Affective learning in physical education : a systematic review. Journal of Teaching in Physical Education. ISSN 0273-5024 (In Press)


MacPhail, A. and Kirk, D. and Griffin, L. (2008) Throwing and catching as relational skills in game play : situated learning in a modified game unit. Journal of Teaching in Physical Education, 27 (1). pp. 100-115. ISSN 0273-5024


MacPhail, A. and Kirk, D. and Kinchin, G. (2004) Sport education : promoting team affiliation through physical education. Journal of Teaching in Physical Education, 23 (2). pp. 106-122. ISSN 0273-5024


Kirk, D. (2002) Junior sport as a moral practice. Journal of Teaching in Physical Education, 21 (4). pp. 402-408. ISSN 0273-5024

Kirk, D. and MacPhail, A. (2002) Teaching games for understanding and situated learning : rethinking the Bunker-Thorpe model. Journal of Teaching in Physical Education, 21 (2). pp. 177-192. ISSN 0273-5024

This list was generated on Wed Aug 12 02:57:26 2020 BST.