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The use of an online learning and teaching system for monitoring computer aided design student participation and predicting student success

Akhtar, S, Warburton, S and Xu, W (2015) The use of an online learning and teaching system for monitoring computer aided design student participation and predicting student success International Journal of Technology and Design Education. pp. 1-20.

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Abstract

In this paper we report on the use of a purpose built Computer Support Collaborative learning environment designed to support lab-based CAD teaching through the monitoring of student participation and identified predictors of success. This was carried out by analysing data from the interactive learning system and correlating student behaviour with summative learning outcomes. A total of 331 undergraduate students, from eight independent groups at the University of Surrey took part in this study. The data collected included: time spent on task, class attendance; seating location; and group association. The application of ANOVA and Pearson correlation to quantized data demonstrated that certain student behaviours enhanced their learning performance. The results indicated that student achievement was positively correlated with attendance, social stability in terms of peer grouping, and time spent on task. A negative relationship was shown in student seating distance relative to the lecturer position. Linear regression was used in the final part of this study to explore the potential for embedding predictive analytics within the system to identify students at-risk of failure. The results were encouraging. They suggest that learning analytics can be used to predict student outcomes and can ensure that timely and appropriate teaching interventions can be incorporated by tutors to improve class performance.

Item Type: Article
Subjects : Technology Enhanced Learning
Divisions : Department of Higher Education
Authors :
AuthorsEmailORCID
Akhtar, SUNSPECIFIEDUNSPECIFIED
Warburton, SUNSPECIFIEDUNSPECIFIED
Xu, WUNSPECIFIEDUNSPECIFIED
Date : 26 November 2015
Identification Number : 10.1007/s10798-015-9346-8
Copyright Disclaimer : The final publication is available at Springer via http://dx.doi.org/10.1007/s10798-015-9346-8
Depositing User : Symplectic Elements
Date Deposited : 05 Aug 2016 08:46
Last Modified : 15 Nov 2016 15:00
URI: http://epubs.surrey.ac.uk/id/eprint/811326

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