Pedagogical design: Bridging learning theory and learning analytics
Open accessAbstract
Which learning analytics (LA) approach might be the best choice for your teaching and learning context? Learning analytics as a field of research and application seeks to collect, analyze, report, and interpret educational data with the goal of improving teaching and learning. But hasty adoption of learning analytics tools and methods that are simply convenient, promoted or available risks allowing learning analytics to ‘drive the pedagogical bus’. In this paper, we propose that careful reflection on pedagogical design choices and the learning theory that underpins them can and should inform selection of relevant learning analytics tools and approaches. We broadly review established learning theories and the implications of each for pedagogical design; for each design approach we offer examples of learning analytics most clearly aligned with the theoretical perspectives on learning and knowledge that have shaped it. Moreover, we argue that careful consideration of the learning theory underpinning the pragmatics of pedagogical design choices should guide LA implementation, and help educators and designers avoid the risk of gathering data on, and measuring outcomes for, activities that are not relevant to their pedagogical design or goals.
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If we do not know who are the LA stakeholders and what are the pedagogical reasons for LA application, then we cannot expect to collect the required and appropriate data.
“If we do not know who are the LA stakeholders and what are the pedagogical reasons for LA application, then, we cannot expect to collect the required and appropriate data (Banihashem & Macfadyen, 2021).”
From A systematic review of the role of learning analytics in enhancing feedback practices in higher education (2022) · cites this paper as Banihashem & Macfadyen, 2021
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Cited by
Sorted by citations
Banihashem, S. K., Noroozi, O., van Ginkel, S., Macfadyen, L. P., & Biemans, H. J. A. (2022) · Educational Research Review · doi:10.1016/j.edurev.2022.100489 · Cited by 246 · see citing works
Self-citationDebets, T., Banihashem, S. K., Brinke, D. J.-T., Vos, T. E. J., Wenniger, G. M. D. B., & Camp, G. (2025) · Computers & Education · doi:10.1016/j.compedu.2025.105323 · Cited by 113 · see citing works
Learning analytics for online game-Based learning: a systematic literature review
Banihashem, S. K., Dehghanzadeh, H., Clark, D. B., Noroozi, O., & Biemans, H. J. A. (2023) · Behaviour and Information Technology · doi:10.1080/0144929x.2023.2255301 · Cited by 92 · see citing works
“In terms of the fi rst component, data ( what ) are the core foundation of LA since LA is a data-driven fi eld of study (Banihashem and Macfadyen 2021).”
Banihashem, S. K., Noroozi, O., den Brok, P., Biemans, H. J. A., & Kerman, N. T. (2023) · The International Journal of Management Education · doi:10.1016/j.ijme.2023.100803 · Cited by 102 · see citing works
Chen, J., Mokmin, N. A. M., & Su, H. (2025) · Innovations in Education and Teaching International · doi:10.1080/14703297.2025.2503857 · Cited by 45 · see citing works
“Hence, effective instructional design, underpinned by established learning theories (Banihashem & Macfadyen, 2021), is essential for fostering collaborative learning among students with the support of their teachers (Pradana et al., 2023).”
Moon, J., Yeo, S., Banihashem, S. K., & Noroozi, O. (2024) · Journal of Computer Assisted Learning · doi:10.1111/jcal.13028 · Cited by 46 · see citing works
Predicting the Intention to Use Learning Analytics for Academic Advising in Higher Education
Bahari, M., Arpacı, İ., Azmi, N. F. M., & Shuib, L. M. (2023) · Sustainability · doi:10.3390/su152115190 · Cited by 18 · see citing works
“However, their underutilization and ineffective engagement hinder the realization of these advantages [17].”
BackgroundAnalytics-enabled authentic assessment design approach for digital education
Lim, T., Gottipati, S., Cheong, M. L. F., Ng, J. W., & Pang, C. (2023) · Education and Information Technologies · doi:10.1007/s10639-022-11525-3 · Cited by 20 · see citing works
“Depending on how the system is constructed, learning theories such as constructiv-ism or connectivism can apply (Banihashem & Macfadyen, 2021).”
BackgroundHow instructors use learning analytics: the pivotal role of pedagogy
Li, Q., Jung, Y., & Wise, A. F. (2025) · Journal of Computing in Higher Education · doi:10.1007/s12528-025-09432-w · Cited by 15 · see citing works
“…and supporting instructors’ use of analytics, a number of learning analytics scholars have also argued for the important role of pedagogy (Knight et al., 2013), learning theories (Banihashem & Macfadyen, 2021) and learning design (Lockyer et al., 2013) in impacting learning analytics use.”
Al-Obaydi, L. H., & Pikhart, M. (2025) · Language Testing in Asia · doi:10.1186/s40468-025-00375-8 · Cited by 15 · see citing works
“It is sometimes difficult to have peer assessment in traditional face-to-face settings, but it can be done in a variety of ways when peer assessment is implemented using AI applications (Banihashem & Macfadyen, 2021), for instance.”
Banihashem, S. K., Noroozi, O., Brok, P. J. D., Biemans, H. J. A., Stevens, T. M., & Güney, Ş. (2023) · Innovations in Education and Teaching International · doi:10.1080/14703297.2023.2227616 · Cited by 9 · see citing works
“…education in the blended format may influence their perceptions of education experiences, especially considering the role of emerging technologies such as ChatGPT and learning analytics (K. Banihashem & Macfadyen, 2021; S. K. Banihashem et al., 2022; Farrokhnia et al., 2023; Noroozi et al., 2019).”
Students' argumentation performance in online learning environments: Bridging culture and gender
Ranjbaran, F., Babaee, M., Parvaneh Akhteh Khaneh, M., Gohari, M., Daneshvar Ghorbani, B., Taghizadeh Kerman, N., Banihashem, S. K., & Noroozi, O. (2023) · International Journal of Technology in Education · doi:10.46328/ijte.460 · Cited by 8 · see citing works
Self-citationZheng, L., Fan, Y., Gao, L., & Huang, Z. (2023) · Interactive Learning Environments · doi:10.1080/10494820.2023.2255231 · Cited by 8 · see citing works
“Banihashem and Macfadyen (2021) claimed that learning approaches could bridge the gap between learning theory and learning analytics.”
Chatbots in Science Education: A Scoping Review of Early Empirical Evidence
Utrilla, M. C., Paños, E., & Ruíz-Gallardo, J.-R. (2025) · Journal of Science Education and Technology · doi:10.1007/s10956-025-10260-x · Cited by 4 · see citing works
“Banihashem and Macfadyen (2021) argued that designing educational tools with a solid theoretical foundation could have several important functions, such as supporting the selection and development of the tool, guiding its use, interpreting the resulting learning outcomes, and preventing…”
Othman, M., Osman, A., Abdullah, N., & Ahmad, S. Z. (2022) · Asian Journal of University Education · doi:10.24191/ajue.v18i4.20004 · Cited by 2 · see citing works
e-Training Package for Secondary Pre-service Teachers
Ramirez, I. A. L. (2024) · International Journal of Technology in Education · doi:10.46328/ijte.593 · Cited by 2 · see citing works
“This makes it difficult for teachers to deliver timely, intelligent, and scaled-effective instruction in face-to-face (F2F) settings without taking into account intelligent online technologies (Banihashem, Farrokhnia, et al., 2022, 2022b; Banihashem & Macfadyen, 2021; Noroozi et al., 2019, 2020).”
BackgroundSun, Z. (2025) · International Conference on Science Technology Engineering and Mathematics (ICONSTEM) · doi:10.1109/iconstem65670.2025.11374848 · Cited by 1 · see citing works
Bakri, M., & Suhaemi (2026) · AIP conference proceedings · doi:10.1063/5.0328678 · Cited by 1 · see citing works
Chen, J. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4589867 · Cited by 1 · see citing works
He, H., Said, N., & Peter, J. (2026) · Learning, Culture and Social Interaction · doi:10.1016/j.lcsi.2026.101028
Ncube, M. M., & Ngulube, P. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4832601
Learning Analytics-Supported Learning Design for a Dutch Distance Learning University
Banihashem, S. K., Alqassab, M., Georgiadis, K., Schmitz, M., & Drachsler, H. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-72312-4_6
Butarbutar, R., Sauhenda, A. F., Indriyani, N., & Wakerkwa, D. A. P. (2025) · Innovations in Pedagogy and Technology · doi:10.63385/ipt.v1i3.185
“Similarly, current study agrees with Banihashem & Macfadyen [58] , who affirmed that Internet connectivity enables learning from any location at any time.”
Nadim, M. A., Reyes, R. S. J., Fuccio, R. D., Rehman, F., & Ali, A. H. (2026) · International Conference on Activity and Behavior Computing (ABC) · doi:10.1109/abc68169.2026.11567293
“Nevertheless Nevertheless, many predictive systems remain weakly grounded in educational theory, with limited integration of frameworks such as Self-Determination Theory or Constructivist Learning Theory [40], [41].”
Digital Tools as Educational Resources
Husnaini, H. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-9484-8.ch009
Using Open Science Infrastructure in Contemporary Analytical Education
Chmyr, О. S. (2026) · University Scientific Notes · doi:10.37491/unz.111.9
Nekhaev, A. (2026) · IntechOpen eBooks · doi:10.5772/intechopen.1016122
Chen, D. (2026) · Open Journal of Social Sciences · doi:10.4236/jss.2026.1410010
- Authors
- Banihashem, K., & Macfadyen, L. P.
- Affiliations
- University of British Columbia (CA)
- ORCID
- Macfadyen, Leah P.
- Venue
- Canadian Journal of Learning and Technology
- Publisher
- University of Alberta Libraries
- Published
- 2021-08-09
- Volume
- 47
- Issue
- 1
- ISSN
- 1499-6677 (ISSN-L)
- 1499-6685
- OpenAlex
- W3192299020
- Cited by
- 31
- References
- 82
- Citations by year
- 2026: 7 · 2025: 8 · 2024: 5 · 2023: 9 · 2022: 2
- FWCI
- 3.39
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- Locations
- Canadian Journal of Learning and Technology (publishedVersion, cc-by-nc)
- Socio-Environmental Systems Modeling (submittedVersion, cc-by-nc)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- DSpace (Open University in the Netherlands) (submittedVersion, cc-by-nc)
- Data Archiving and Networked Services (DANS) (submittedVersion, cc-by-nc)
- Topics
- Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Social Sciences › Education › Evaluation of Teaching Practices
- Keywords
- learning analytics, instructional design, learning theory, educational data, education data collection, learning outcomes measurement
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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