Analytics of Learning Strategies: Role of Course Design and Delivery Modality
2020
Аутори
Matcha, WannisaGašević, Dragan
Uzir, Nora'ayu Ahmad
Jovanović, Jelena
Pardo, Abelardo
Lim, Lisa
Maldonado-Mahauad, Jorge
Gentili, Sheridan
Perez-Sanagustin, Mar
Tsai, Yi-Shan
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
Generalizability of the value of methods based on learning analytics remains one of the big challenges in the field of learning analytics. One approach to testing generalizability of a method is to apply it consistently in different learning contexts. This study extends a previously published work by examining the generalizability of a learning analytics method proposed for detecting learning tactics and strategies from trace data. The method was applied to the datasets collected in three different course designs and delivery modalities, including flipped classroom, blended learning, and massive open online course. The proposed method combines process mining and sequence analysis. The detected learning strategies are explored in terms of their association with academic performance. The results indicate the applicability of the proposed method across different learning contexts. Moreover, the findings contribute to the understanding of the learning tactics and strategies identified in t...he trace data: learning tactics proved to be responsive to the course design, whereas learning strategies were found to be more sensitive to the delivery modalities than to the course design. These findings, well aligned with self-regulated learning theory, highlight the association of learning contexts with the choice of learning tactics and strategies.
Кључне речи:
self-regulated learning / modality / learning tactics / Learning strategies / data mining / course designИзвор:
Journal of Learning Analytics, 2020, 7, 2, 45-71Издавач:
- Soc Learning Analytics Research-Solar, Beaumont
Финансирање / пројекти:
- Direccion de Investigacion de la Universidad de Cuenca (DIUC), Cuenca-Ecuador, under the project "Analitica del aprendizaje para el estudio de estrategias de aprendizaje autorregulado en un contexto de aprendizaje hibrido" [DIUC_XVIII_2019_54]
DOI: 10.18608/jla.2020.72.3
ISSN: 1929-7750
WoS: 000573840100003
Scopus: 2-s2.0-85103906987
Институција/група
Fakultet organizacionih naukaTY - JOUR AU - Matcha, Wannisa AU - Gašević, Dragan AU - Uzir, Nora'ayu Ahmad AU - Jovanović, Jelena AU - Pardo, Abelardo AU - Lim, Lisa AU - Maldonado-Mahauad, Jorge AU - Gentili, Sheridan AU - Perez-Sanagustin, Mar AU - Tsai, Yi-Shan PY - 2020 UR - https://rfos.fon.bg.ac.rs/handle/123456789/2084 AB - Generalizability of the value of methods based on learning analytics remains one of the big challenges in the field of learning analytics. One approach to testing generalizability of a method is to apply it consistently in different learning contexts. This study extends a previously published work by examining the generalizability of a learning analytics method proposed for detecting learning tactics and strategies from trace data. The method was applied to the datasets collected in three different course designs and delivery modalities, including flipped classroom, blended learning, and massive open online course. The proposed method combines process mining and sequence analysis. The detected learning strategies are explored in terms of their association with academic performance. The results indicate the applicability of the proposed method across different learning contexts. Moreover, the findings contribute to the understanding of the learning tactics and strategies identified in the trace data: learning tactics proved to be responsive to the course design, whereas learning strategies were found to be more sensitive to the delivery modalities than to the course design. These findings, well aligned with self-regulated learning theory, highlight the association of learning contexts with the choice of learning tactics and strategies. PB - Soc Learning Analytics Research-Solar, Beaumont T2 - Journal of Learning Analytics T1 - Analytics of Learning Strategies: Role of Course Design and Delivery Modality EP - 71 IS - 2 SP - 45 VL - 7 DO - 10.18608/jla.2020.72.3 UR - conv_2382 ER -
@article{ author = "Matcha, Wannisa and Gašević, Dragan and Uzir, Nora'ayu Ahmad and Jovanović, Jelena and Pardo, Abelardo and Lim, Lisa and Maldonado-Mahauad, Jorge and Gentili, Sheridan and Perez-Sanagustin, Mar and Tsai, Yi-Shan", year = "2020", abstract = "Generalizability of the value of methods based on learning analytics remains one of the big challenges in the field of learning analytics. One approach to testing generalizability of a method is to apply it consistently in different learning contexts. This study extends a previously published work by examining the generalizability of a learning analytics method proposed for detecting learning tactics and strategies from trace data. The method was applied to the datasets collected in three different course designs and delivery modalities, including flipped classroom, blended learning, and massive open online course. The proposed method combines process mining and sequence analysis. The detected learning strategies are explored in terms of their association with academic performance. The results indicate the applicability of the proposed method across different learning contexts. Moreover, the findings contribute to the understanding of the learning tactics and strategies identified in the trace data: learning tactics proved to be responsive to the course design, whereas learning strategies were found to be more sensitive to the delivery modalities than to the course design. These findings, well aligned with self-regulated learning theory, highlight the association of learning contexts with the choice of learning tactics and strategies.", publisher = "Soc Learning Analytics Research-Solar, Beaumont", journal = "Journal of Learning Analytics", title = "Analytics of Learning Strategies: Role of Course Design and Delivery Modality", pages = "71-45", number = "2", volume = "7", doi = "10.18608/jla.2020.72.3", url = "conv_2382" }
Matcha, W., Gašević, D., Uzir, N. A., Jovanović, J., Pardo, A., Lim, L., Maldonado-Mahauad, J., Gentili, S., Perez-Sanagustin, M.,& Tsai, Y.. (2020). Analytics of Learning Strategies: Role of Course Design and Delivery Modality. in Journal of Learning Analytics Soc Learning Analytics Research-Solar, Beaumont., 7(2), 45-71. https://doi.org/10.18608/jla.2020.72.3 conv_2382
Matcha W, Gašević D, Uzir NA, Jovanović J, Pardo A, Lim L, Maldonado-Mahauad J, Gentili S, Perez-Sanagustin M, Tsai Y. Analytics of Learning Strategies: Role of Course Design and Delivery Modality. in Journal of Learning Analytics. 2020;7(2):45-71. doi:10.18608/jla.2020.72.3 conv_2382 .
Matcha, Wannisa, Gašević, Dragan, Uzir, Nora'ayu Ahmad, Jovanović, Jelena, Pardo, Abelardo, Lim, Lisa, Maldonado-Mahauad, Jorge, Gentili, Sheridan, Perez-Sanagustin, Mar, Tsai, Yi-Shan, "Analytics of Learning Strategies: Role of Course Design and Delivery Modality" in Journal of Learning Analytics, 7, no. 2 (2020):45-71, https://doi.org/10.18608/jla.2020.72.3 ., conv_2382 .