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Despite evidence of its usefulness, the use of Artificial Intelligence (AI) based Intelligent Tutoring Systems (ITS) in Higher Education (HE) has recently been questioned. There are calls for leveraging human intelligence as well as amplifying it through analytics and data mining techniques instead. Learning Analytics (LA) and Educational Data Mining (EDM) in HE have received great amount of attention in recent years to support and enhance human intelligence. We present a cross-topic review in order to evidence ‘what works’ and the achievements of these technologies within the context of Engineering Education. We found that recent applications of LA and EDM within Engineering Education as promising for future systems. However, we think that cross-pollination between the well established ITS field with emerging field of LA and EDM technology in education as opposed to parting ways may help improve their combined impact.
|Published - 23 Nov 2017
|5th EERN Symposium: Time for a change! Challenging the status quo in engineering education - London, United Kingdom
Duration: 23 Nov 2017 → 24 Nov 2017
|5th EERN Symposium
|23/11/17 → 24/11/17
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- 1 Invited talk