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Creator |
c9d52ef4a11ad1277436a89c20d0a5d4 |
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Creator |
71122b7715e55a3f53d5c14540adcbbb |
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Creator |
ext-b75cd7ad6e4578e06a485e7fe5a66076 |
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Date |
2018-03-07 |
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Is Part Of |
repository |
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abstract |
This study aims to contribute to recent developments in empirical studies on students'
learning strategies, whereby the use of trace data is combined with self-report data
to distinguish profiles of learning strategy use [3--5]. We do so in the context of
an application of dispositional learning analytics in a large introductory course
mathematics and statistics, based on blended learning. Building on our previous work
which showed marked differences in how students used worked examples as a learning
strategy [7, 11], this study compares different profiles of learning strategies with
learning approaches, learning outcomes, and learning dispositions. One of our key
findings is that deep learners were less dependent on worked examples as a resource
for learning, and that students who only sporadically used worked examples achieved
higher test scores. |
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authorList |
authors |
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presentedAt |
ext-5e6feee07853af2e87f9953cf323404e |
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status |
peerReviewed |
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type |
AcademicArticle |
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type |
Article |
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label |
Tempelaar, Dirk; Rienties, Bart and Nguyen, Quan (2018). Investigating learning
strategies in a dispositional learning analytics context: the case of worked examples.
In: Proceedings of the 8th International Conference on Learning Analytics and Knowledge,
ACM, New York, pp. 201–205. |
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label |
Tempelaar, Dirk; Rienties, Bart and Nguyen, Quan (2018). Investigating learning
strategies in a dispositional learning analytics context: the case of worked examples.
In: Proceedings of the 8th International Conference on Learning Analytics and Knowledge,
ACM, New York, pp. 201–205. |
53925 |
Publisher |
ext-2af1883e4bbfa0356fcedb366171cb38 |
53925 |
Title |
Investigating learning strategies in a dispositional learning analytics context: the
case of worked examples |
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in dataset |
oro |