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Conference object . 2020
License: CC BY
Data sources: ZENODO
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Article . 2020
License: CC BY
Data sources: Datacite
ZENODO
Article . 2020
License: CC BY
Data sources: Datacite
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Temporal Trends in Textbook Tracking Data

Authors: Augustijn-Beckers, P.W.M.; Verkroost, M.J.; Oliveira, I.;

Temporal Trends in Textbook Tracking Data

Abstract

Time is an underdeveloped aspect of textbook reading analytics. We used the Living Textbook, a concept-based digital textbook, to collect tracking data during an introductory MSc course. In this paper, we compare first-time concept visits versus subsequent concept visits, the time when these concept visits occur and the duration of the concept visits. With the collected information, we want to optimize the length and order of the learning pathways. Although many concept visits are generated close to the exam at the end of the course, these are often re-visits, indicating a review before the exam rather than procrastination.

Country
Netherlands
Related Organizations
Keywords

learning analytics, temporal analysis, Digital textbook, digital textbook, Temporal analysis, Learning analytics

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green