Opening the black box of students’ text-learning processes : a process mining perspective
- Author
- Amelie Rogiers (UGent) , Emmelien Merchie (UGent) and Hilde Van Keer (UGent)
- Organization
- Abstract
- The current study uncovers secondary school students’ actual use of text-learning strategies during an individual learning task by means of a concurrent self-reported thinking aloud procedure. Think-aloud data of 51 participants with different learning strategy profiles, distinguished based on a retrospective self-report questionnaire (i.e., 15 integrated strategy users, 15 information organizers, 10 mental learners, and 11 limited strategy users), were analysed by means of educational process mining. Both the frequency of students’ strategy use, as well as the temporal patterns between these strategies were studied. The process mining results clearly demonstrated differences between the strategy profiles with respect to the frequency of their applied strategies, as well as concerning the temporal sequences wherein strategies were applied throughout the course of students’ text-learning process. The added value of combining both retrospective and concurrent self-report measures of students’ strategies as well as conducting process mining analysis is discussed.
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8635967
- MLA
- Rogiers, Amelie, et al. “Opening the Black Box of Students’ Text-Learning Processes : A Process Mining Perspective.” FRONTLINE LEARNING RESEARCH, vol. 8, no. 3, 2020, pp. 40–62, doi:10.14786/flr.v8i3.527.
- APA
- Rogiers, A., Merchie, E., & Van Keer, H. (2020). Opening the black box of students’ text-learning processes : a process mining perspective. FRONTLINE LEARNING RESEARCH, 8(3), 40–62. https://doi.org/10.14786/flr.v8i3.527
- Chicago author-date
- Rogiers, Amelie, Emmelien Merchie, and Hilde Van Keer. 2020. “Opening the Black Box of Students’ Text-Learning Processes : A Process Mining Perspective.” FRONTLINE LEARNING RESEARCH 8 (3): 40–62. https://doi.org/10.14786/flr.v8i3.527.
- Chicago author-date (all authors)
- Rogiers, Amelie, Emmelien Merchie, and Hilde Van Keer. 2020. “Opening the Black Box of Students’ Text-Learning Processes : A Process Mining Perspective.” FRONTLINE LEARNING RESEARCH 8 (3): 40–62. doi:10.14786/flr.v8i3.527.
- Vancouver
- 1.Rogiers A, Merchie E, Van Keer H. Opening the black box of students’ text-learning processes : a process mining perspective. FRONTLINE LEARNING RESEARCH. 2020;8(3):40–62.
- IEEE
- [1]A. Rogiers, E. Merchie, and H. Van Keer, “Opening the black box of students’ text-learning processes : a process mining perspective,” FRONTLINE LEARNING RESEARCH, vol. 8, no. 3, pp. 40–62, 2020.
@article{8635967,
abstract = {{The current study uncovers secondary school students’ actual use of text-learning strategies
during an individual learning task by means of a concurrent self-reported thinking aloud
procedure. Think-aloud data of 51 participants with different learning strategy profiles,
distinguished based on a retrospective self-report questionnaire (i.e., 15 integrated strategy
users, 15 information organizers, 10 mental learners, and 11 limited strategy users), were
analysed by means of educational process mining. Both the frequency of students’ strategy
use, as well as the temporal patterns between these strategies were studied. The process
mining results clearly demonstrated differences between the strategy profiles with respect to
the frequency of their applied strategies, as well as concerning the temporal sequences
wherein strategies were applied throughout the course of students’ text-learning process. The
added value of combining both retrospective and concurrent self-report measures of students’
strategies as well as conducting process mining analysis is discussed.}},
author = {{Rogiers, Amelie and Merchie, Emmelien and Van Keer, Hilde}},
issn = {{2295-3159}},
journal = {{FRONTLINE LEARNING RESEARCH}},
language = {{eng}},
number = {{3}},
pages = {{40--62}},
title = {{Opening the black box of students’ text-learning processes : a process mining perspective}},
url = {{http://doi.org/10.14786/flr.v8i3.527}},
volume = {{8}},
year = {{2020}},
}
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