Reidsema, Carl, Khosravi, Hassan, Fleming, Melanie, Kavanagh, Lydia, Achilles, Nichoas, and Fink, Esther (2017) Analysing the learning pathways of students in a large flipped engineering course. In: Proceedings of the 34th International Conference on Innovation, Practice and Research in the Use of Educational Technologies in Tertiary Education. pp. 372-382. From: ASCILITE 2017: 34th International Conference on Innovation, Practice and Research in the Use of Educational Technologies in Tertiary Education, 2-4 December 2017, Toowoomba, QLD, Autralia.

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Abstract

Recent advancements in educational technologies (learning management systems, online discussion forums, peer‐learning tools) coupled with new methods of course delivery (e.g. blended, flipped, MOOCs) provide significant opportunities for universities to deliver challenging, high quality, yet engaging curriculum for students. In this paper, we examine the variations and similarities of student's approaches to learning (learning pathways) by examining how well they performed in a large (N ~ 1000 student) first year engineering flipped classroom. The analysis focused on student's performance in their assessment (formative and summative) as well as their online interaction with a range of tools purposely built to support students through peer learning and acquisition of resources and expertise. Analysis using k‐means clustering reveals that students do in fact adopt a variety of successful pathways through the course. The unique aspects of this work lie in the use of analytics algorithms that whilst perhaps routinely utilised in data mining, are not as well utilised in better understanding patterns (successful or otherwise) of student interactions within a technology enhanced active learning environment that integrates theory with engineering practice.

Item ID:	55897
Item Type:	Conference Item (Research - E1)
Copyright Information:	This work is made available under a Creative Commons Attribution 4.0 International licence.
Date Deposited:	29 Oct 2018 03:07
FoR Codes:	39 EDUCATION > 3903 Education systems > 390303 Higher education @ 100%
SEO Codes:	93 EDUCATION AND TRAINING > 9302 Teaching and Instruction > 930203 Teaching and Instruction Technologies @ 100%
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