2011
DOI: 10.28945/1522
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Drills, Games or Tests? Evaluating Students' Motivation in Different Online Learning Activities, Using Log File Analysis

Abstract: The main purpose of this study is to compare students' behaviors in three types of learning activities (drills, games, and self-tests) in order to explore students' motivation to learn in each one of them. For that purpose, the actions of 7,434 third to sixth grade students, who learned in two learning units, were documented in log files and analyzed. The comparison between their behaviors was based on three variables: (a) the number of students who performed each activity, (b) the percentage of students who c… Show more

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Cited by 7 publications
(10 citation statements)
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“…information on users' actions and course of progress (e.g. frequency of logins, number and frequency of responses/views, time spent online) [13]- [15].…”
Section: Background and Related Workmentioning
confidence: 99%
“…information on users' actions and course of progress (e.g. frequency of logins, number and frequency of responses/views, time spent online) [13]- [15].…”
Section: Background and Related Workmentioning
confidence: 99%
“…They defined 'engagement' based on number of pages that the students read, time spent reading the pages, and time spent on quizzes. Similarly, log files from online learning databases were used to understand students' motivation in learning based on their participation in the provided learning activities such as drills, games and self-test (Ben-zadok et al, 2011). Hung and Zhang (2008) evaluate students' participation in online learning based on students' log files and then identify the important parameters of participation that can predict better learning outcome.…”
Section: Background Of Problemmentioning
confidence: 99%
“…On the other hand, in technology-mediated learning, behavioral engagement is quantified in terms of computerrecorded indicators such as frequency of logins, number and frequency of responses/views, time spent online and number of accessed resources (e.g., podcasts or screencasts). Obviously such indicators are quite easy to access in computer medium (Ben-Zadok et al, 2011). However, as pointed out by Arkorful and Abaidoo (2015), there are a number of issues with employing such metrics, one of the most important being the difficulty of incorporating them on-the-fly, i.e.…”
Section: Background and Related Workmentioning
confidence: 99%