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Identifying student disengagement using time series techniques

Steinrücke, J. (2015) Identifying student disengagement using time series techniques.

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Abstract:The use of online learning environments becomes more and more popular. Consequently also the problem of impairments to the learning process is arising. One of the known major impairments is the disengagement of students. To reduce the impact of disengagement on the learning process, a logistic autoregressive regression model was proposed and tested, using CUSUM control charts and log-likelihood analyses. By including indicators of disengagement the model became suitable for direct application. The chosen statistical methods and their suitability for analyzing the underlying processes are discussed. A statistical process analysis was conducted on data retrieved from ‘Leo’s Pad’, to evaluate the suitability of the proposed logistic autoregressive regression model. The model is a valuable tool for the detection of learners’ disengagement and could help to improve the quality of online learning environments.
Item Type:Essay (Bachelor)
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:77 psychology
Programme:Psychology BSc (56604)
Link to this item:http://purl.utwente.nl/essays/68545
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