A Current Overview of the Use of Learning Analytics Dashboards
Open accessAbstract
The promise of Learning Analytics Dashboards in education is to collect, analyze, and visualize data with the ultimate ambition of improving students’ learning. Our overview of the latest systematic reviews on the topic shows a number of research trends: learning analytics research is growing rapidly; it brings to the front inequality and inclusiveness measures; it reveals an unclear path to data ownership and privacy; it provides predictions which are not clearly translated into pedagogical actions; and the possibility of self-regulated learning and game-based learning are not capitalized upon. However, as learning analytics research progresses, greater opportunities lie ahead, and a better integration between information science and learning sciences can bring added value of learning analytics dashboards in education.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
A problem in engagement research is the emerging and disparate ways to convey what engagement is, with researchers adding unrecognised variables, supplementing theory, or presenting vague conceptualisations.
“one arising problem relates to the emerging and disparate ways to convey what engagement is; for example, researchers may tend to either add variables that are not widely recognised as parts of engagement, supplement theory for research papers, or present vague conceptualisations (e.g., Masiello et al., 2024).”
From Unpacking student engagement in higher education learning analytics: a systematic review (2024) · cites this paper as Masiello et al., 2024
Section 3.3 discusses theoretical frameworks used to design learning analytics dashboards, and Section 3.4 lists outcomes they track; neither addresses how engagement is conceptualised in research. Searches for engagement definitions, unrecognised variables, and vague conceptualisations found no passage making the attributed point. Page numbers were not available in our copy. (LLM, conf=0.73)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Motivational and self-regulated learning components of classroom academic performance.
Pintrich, P. R., & De Groot, E. V. (1990) · Journal of Educational Psychology · doi:10.1037/0022-0663.82.1.33 · Cited by 8,332 · see citing works
Becoming a self-regulated learner: Which are the key subprocesses?
Zimmerman, B. J. (1986) · Contemporary Educational Psychology · doi:10.1016/0361-476x(86)90027-5 · Cited by 1,247 · see citing works
Efklides, A. (2011) · Educational Psychologist · doi:10.1080/00461520.2011.538645 · Cited by 1,211 · see citing works
The current landscape of learning analytics in higher education
Viberg, O., Hatakka, M., Bälter, O., & Mavroudi, A. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.07.027 · Cited by 766 · see citing works
Designing educational technologies in the age of AI: A learning sciences‐driven approach
Luckin, R., & Cukurova, M. (2019) · British Journal of Educational Technology · doi:10.1111/bjet.12861 · Cited by 624 · see citing works
Matcha, W., Uzir, N. A., Gašević, D., & Pardo, A. (2019) · IEEE Transactions on Learning Technologies · doi:10.1109/tlt.2019.2916802 · Cited by 434 · see citing works
Djaouti, D., Alvarez, J., Jessel, J.-P., & Rampnoux, O. (2011) · Serious Games and Edutainment Applications · doi:10.1007/978-1-4471-2161-9_3 · Cited by 427 · see citing works
Artificial intelligence and learning analytics in teacher education: A systematic review
Salas-Pilco, S., Xiao, K., & Hu, X. (2022) · Education Sciences · doi:10.3390/educsci12080569 · Cited by 326 · see citing works
Visual learning analytics of educational data: A systematic literature review and research agenda
Vieira, C., Parsons, P., & Byrd, V. (2018) · Computers & Education · doi:10.1016/j.compedu.2018.03.018 · Cited by 316 · see citing works
Serious Games and Edutainment Applications
Arnab, S., Petridis, P., Οικονόμου, Α., & de Freitas, S. (2011) · Springer eBooks · doi:10.1007/978-1-4471-2161-9 · Cited by 315 · see citing works
The efficacy of learning analytics interventions in higher education: a systematic review.
Larrabee Sønderlund, A., Hughes, E., & Smith, J. (2019) · British Journal of Educational Technology · doi:10.1111/bjet.12720 · Cited by 265 · see citing works
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
Learning analytics in virtual laboratories: a systematic literature review of empirical research
Elmoazen, R., Saqr, M., Khalil, M., & Wasson, B. (2023) · Smart Learning Environments · doi:10.1186/s40561-023-00244-y · Cited by 150 · see citing works
Chapter 1: JBI Systematic Reviews
(2020) · JBI eBooks · doi:10.46658/jbimes-20-02 · Cited by 145 · see citing works
Learning analytics in higher education: a preponderance of analytics but very little learning?
Guzmán-Valenzuela, C., Gómez-González, C., Rojas-Murphy Tagle, A., & Lorca-Vyhmeister, A. (2021) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-021-00258-x · Cited by 131 · see citing works
Learning analytics dashboards: the past, the present and the future
Verbert, K., Ochoa, X., De Croon, R., Dourado, R. A., & De Laet, T. (2020) · Proceedings of the Tenth International Conference on Learning Analytics & Knowledge · doi:10.1145/3375462.3375504 · Cited by 129 · see citing works
Heikkinen, S., Saqr, M., Malmberg, J., & Tedre, M. (2022) · Education and Information Technologies · doi:10.1007/s10639-022-11281-4 · Cited by 124 · see citing works
Subjective competence, appraisals and self-assessment.
Boekaerts, M. (1991) · Learning and Instruction · doi:10.1016/0959-4752(91)90016-2 · Cited by 122 · see citing works
Kew, S. N., & Tasir, Z. (2021) · Technology Knowledge and Learning · doi:10.1007/s10758-021-09541-2 · Cited by 116 · see citing works
Sedrakyan, G., Mannens, E., & Verbert, K. (2018) · Journal of Computer Languages · doi:10.1016/j.jvlc.2018.11.002 · Cited by 114 · see citing works
Use of Predictive Analytics within Learning Analytics Dashboards: A Review of Case Studies
Ramaswami, G. S., Sušnjak, T., Mathrani, A., & Umer, R. (2022) · Technology Knowledge and Learning · doi:10.1007/s10758-022-09613-x · Cited by 94 · see citing works
Research trends in multimodal learning analytics: A systematic mapping study
Ouhaichi, H., Spikol, D., & Vogel, B. (2023) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2023.100136 · Cited by 93 · see citing works
Learning analytics in support of inclusiveness and disabled students: a systematic review
Khalil, M., Slade, S., & Prinsloo, P. (2023) · Journal of Computing in Higher Education · doi:10.1007/s12528-023-09363-4 · Cited by 90 · see citing works
Cerratto Pargman, T., & McGrath, C. (2021) · Journal of Learning Analytics · doi:10.18608/jla.2021.1 · Cited by 88 · see citing works
The umbrella review: a useful strategy in the rain of evidence
Choi, G. J., & Kang, H. (2022) · The Korean journal of pain · doi:10.3344/kjp.2022.35.2.127 · Cited by 85 · see citing works
Staying on target: A systematic literature review on learner‐facing learning analytics dashboards
Valle, N., Antonenko, P., Dawson, K., & Huggins‐Manley, A. C. (2021) · British Journal of Educational Technology · doi:10.1111/bjet.13089 · Cited by 79 · see citing works
Williamson, K., & Kizilcec, R. F. (2022) · International Conference on Learning Analytics and Knowledge (LAK) · doi:10.1145/3506860.3506900 · Cited by 73 · see citing works
Lang, C., Wise, A. F., Merceron, A., Gašević, D., & Siemens, G. (2022) · Solar eBooks · doi:10.18608/hla22.001 · Cited by 68 · see citing works
Ahmad, A., Schneider, J., Griffiths, D., Biedermann, D., Schiffner, D., Greller, W., & Drachsler, H. (2022) · Journal of Computer Assisted Learning · doi:10.1111/jcal.12716 · Cited by 58 · see citing works
Recent Advances in Technology Acceptance Models and Theories
(2021) · Studies in systems, decision and control · doi:10.1007/978-3-030-64987-6 · Cited by 57 · see citing works
Daoudi, I. (2022) · Education and Information Technologies · doi:10.1007/s10639-022-11087-4 · Cited by 54 · see citing works
The Multimodal Learning Analytics Handbook
Giannakos, M., Spikol, D., Mitri, D. D., Sharma, K., Ochoa, X., & Hammad, R. (2022) · Springer eBooks · doi:10.1007/978-3-031-08076-0 · Cited by 43 · see citing works
Learning analytics: where information science and the learning sciences meet
Teasley, S. D. (2018) · Information and Learning Sciences · doi:10.1108/ils-06-2018-0045 · Cited by 38 · see citing works
DESIGN OF LEARNING ANALYTICS DASHBOARD SUPPORTING METACOGNITION
Chen, L., Lu, M., Goda, Y., & Yamada, M. (2019) · Cognition and Exploratory Learning in Digital Age · doi:10.33965/celda2019_201911l022 · Cited by 30 · see citing works
Learning analytics in seamless learning environments: a systematic review
Moon, J., Lee, D., Choi, G. W., Seo, J., Do, J., & Lim, T. (2023) · Interactive Learning Environments · doi:10.1080/10494820.2023.2170422 · Cited by 28 · see citing works
Visualizations and Dashboards for Learning Analytics
(2021) · Advances in analytics for learning and teaching · doi:10.1007/978-3-030-81222-5 · Cited by 26 · see citing works
A Review of Learning Analytics Studies
Hantoobi, S., Wahdan, A., Al‐Emran, M., & Shaalan, K. F. (2021) · Studies in systems, decision and control · doi:10.1007/978-3-030-64987-6_8 · Cited by 21 · see citing works
Designing dashboards to support learners' self-regulated learning
Molenaar, I., Horvers, A., Dijkstra, R., & Baker, R. S. (2019) · Radboud Repository (Radboud University) · Cited by 14 · see citing works
SBGTool v2.0: An Empirical Study on a Similarity-Based Grouping Tool for Students’ Learning Outcomes
Mohseni, Z. A., Martins, R. M., & Masiello, I. (2022) · Data · doi:10.3390/data7070098 · Cited by 8 · see citing works
Self-citationNúñez, A.-G., Feraud, I. S., Solano-Quinde, L. D., Zúñiga‐Prieto, M., Echeverría, V., & Laet, T. D. (2022) · Latin American Conference on Learning Technologies (LACLO) · doi:10.1109/laclo56648.2022.10013324 · Cited by 5 · see citing works
SAVis : a Learning Analytics Dashboard with Interactive Visualization and Machine Learning
Mohseni, Z. A., Martins, R. M., & Masiello, I. (2021) · KTH Publication Database DiVA (KTH Royal Institute of Technology) · Cited by 5 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 11
- Siemens, G.; Baker, R.S.J.D. Learning analytics and educational data mining: Towards communication and collaboration. In Proceedings of the 2nd International Conference on Learning Analytics and Knowledge, Vancouver, BC, Canada, 29 April-2 May 2012; Association for Computing Machinery: New York, NY, USA; pp. 252-254.
- Sahin, M., Ifenthaler, D., Eds.; Advances in Analytics for Learning and Teaching; Springer International Publishing: Cham, Switzerland, 2021; pp. 3-22.
- Tepgeç, M.; Ifenthaler, D. Learning Analytics Based Interventions: A Systematic Review of Experimental Studies; IADIS Press: Lisboa, Portugal, 2022; pp. 327-330.
- Apiola, M.-V.; Lipponen, S.; Seitamaa, A.; Korhonen, T.; Hakkarainen, K. Learning Analytics for Knowledge Creation and Inventing in K-12: A Systematic Review. In Intelligent Computing; Arai, K., Ed.; Springer International Publishing: Cham, Switzerland, 2022; pp. 238-257.
- Hirsto, L.; Saqr, M.; López-Pernas, S.; Valtonen, T. A systematic narrative review of learning analytics research in K-12 and schools. In FLAIEC 2022: Finnish Learning Analytics and Artificial Intelligence in Education Conference 2022, Proceedings of the 1st Finnish Learning Analytics and Artificial Intelligence in Education Conference (FLAIEC 2022);
- Hirsto, L., López-Pernas, S., Saqr, M., Sointu, E., Valtonen, T., Väisänen, S., Eds.; CEUR Workshop Proceedings; Aachen University: Aachen, Germany, 2023; Volume 3383, pp. 60-67.
- Reich, J. Chapter 18: Learning Analytics and Learning at Scale. In Handbook of Learning Analytics, 2nd ed.; Society for Learning Analytics Research (SoLAR): Beaumont, AB, Canada, 2022; pp. 188-195.
- Macfadyen, L.P. Chapter 17: Insttutional Implementation of Learning Analytics-Current State, Challenges, and Guiding framwroks. In Handbook of Learning Analytics, 2nd ed.; Society for Learning Analytics Research (SoLAR): Beaumont, AB, Canada, 2022; pp. 173-186.
- Uttamchandani, S.; Quick, J. Chapter 20: An Introduction to Fairness, Absence of Bias, and Equity in Learning Analytics. In Handbook of Learning Analytics, 2nd ed.; Society for Learning Analytics Research (SoLAR): Beaumont, AB, Canada, 2022; pp. 205-212.
- Winne, P.H.; Perry, N.E. Measuring self-regulated learning. In Handbook of Self-Regulation; Academic Press: San Diego, CA, USA, 2000; pp. 531-566.
- Winne, P.H.; Hadwin, A.F. Studying as Self-Regulated Learning. In Metacognition in Educational Theory and Practice; Routledge: Abingdon, UK, 1998.
Cited by
Sorted by citations
Unpacking student engagement in higher education learning analytics: a systematic review
Bergdahl, N., Bond, M., Sjöberg, J., Dougherty, M., & Oxley, E. (2024) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-024-00493-y · Cited by 138 · see citing works
Izquierdo‐Condoy, J. S., Arias-Intriago, M., Corrales, L. M., & Ortiz‐Prado, E. (2026) · JMIR Medical Education · doi:10.2196/77127 · Cited by 39 · see citing works
Visual Learning Analytics for Educational Interventions in Primary and Secondary Schools
Mohseni, Z. A., Masiello, I., Martins, R. M., & Nordmark, S. (2024) · Journal of Learning Analytics · doi:10.18608/jla.2024.8309 · Cited by 15 · see citing works
Self-citationPei, B., Cheng, Y., Ambrose, A., Dziadula, E., Xing, W., & Lu, J. (2024) · Smart Learning Environments · doi:10.1186/s40561-024-00346-1 · Cited by 14 · see citing works
Kitto, S. C., Chiang, M., Ng, O., & Cleland, J. (2024) · Advances in Health Sciences Education · doi:10.1007/s10459-024-10358-8 · Cited by 15 · see citing works
Co-designing Data-Driven Educational Technology and Practice: Reflections from the Japanese Context
Ogata, H., Liang, C., Toyokawa, Y., Hsu, C.-Y., Nakamura, K., Yamauchi, T., Flanagan, B., Dai, Y., Takami, K., Horikoshi, I., et al. (2024) · Technology Knowledge and Learning · doi:10.1007/s10758-024-09759-w · Cited by 9 · see citing works
Use of Learning Analytics in K–12 Mathematics Education
Rundquist, R., Holmberg, K., Rack, J. P., Mohseni, Z. A., & Masiello, I. (2024) · Journal of Learning Analytics · doi:10.18608/jla.2024.8299 · Cited by 9 · see citing works
Self-citationBorrella, I., & Ponce-Cueto, E. (2025) · Applied Sciences · doi:10.3390/app152111493 · Cited by 8 · see citing works
Guisñan, P. A. B., Lara, J. A., Cano, A., Cerezo, R., & Romero, C. (2026) · Universal Access in the Information Society · doi:10.1007/s10209-025-01278-4 · Cited by 9 · see citing works
From Transparency to Trust: A Literature Review on Explainable AI in Educational Systems
Tınmaz, H. (2025) · Mersin Üniversitesi Eğitim Fakültesi Dergisi · doi:10.17860/mersinefd.1739347 · Cited by 6 · see citing works
Mohseni, Z. A., & Masiello, I. (2025) · Educational Technology Research and Development · doi:10.1007/s11423-025-10577-9 · Cited by 5 · see citing works
Self-citationShaban, A. A., & Ali, R. I. (2026) · Qubahan Techno Journal · doi:10.48161/qtj.v5n1a72 · Cited by 5 · see citing works
Machine Learning in Education: Predicting Student Performance and Guiding Institutional Decisions
(Drăgoi), C.-A. B., Drăgoi, M.-V., Cristoiu, C. A., Puiu, R.-A., Puiu, M., Petrea, G., & Navligu, B.-C. (2026) · Education Sciences · doi:10.3390/educsci16010076 · Cited by 5 · see citing works
Pineda-Briseño, A., Oblitas, J., Sánchez, L. C., Gómez, W. A. S., & Baltazar, R. (2026) · Education Sciences · doi:10.3390/educsci16030399 · Cited by 4 · see citing works
Is A Star A Document? Catalogued Students and Learning Analytics
Gourlay, L. J. (2024) · Postdigital Science and Education · doi:10.1007/s42438-024-00489-x · Cited by 4 · see citing works
Alibaeva, R., & Allayarova, S. U. (2025) · Qubahan Techno Journal · doi:10.48161/qtj.v4n3a70 · Cited by 3 · see citing works
Raemy, U. E., Borter, N., Mejeh, M., & Troche, S. J. (2026) · Educational Psychology · doi:10.1080/01443410.2026.2625279 · Cited by 3 · see citing works
Uso de analítica de aprendizaje para mejorar la toma de decisiones pedagógicas
Vaca, A. M. V., Vega, J. G. B., Alvarez, S. M. Q., Barros, T. I. C., Nastul, K. M. V., & Porras, J. M. C. (2025) · South Florida Journal of Development · doi:10.46932/sfjdv6n1-011 · Cited by 3 · see citing works
Johari, K., Das, S., Anupama, M. S., Meghna, Saha, D., Dey, R., & Piri, J. (2024) · International Conference on Pioneering Developments in Computer Science & Digital Technologies (IC2SDT) · doi:10.1109/ic2sdt62152.2024.10696814 · Cited by 2 · see citing works
Beyond the lesson plan: Reflective practice as a catalyst for teacher professional growth
Harsono, A. M. B., Mahmudah, F. N., Putra, E. C. S., Rahman, A., Dewantara, B. A., Arsyad, M. Z. T., & Alfarisa, F. (2025) · Priviet Social Sciences Journal · doi:10.55942/pssj.v5i11.698 · Cited by 2 · see citing works
Karamta, M., & Thakur, V. (2025) · International Journal of Ayurveda Research · doi:10.4103/ijar.ijar_312_25 · Cited by 1 · see citing works
Charles, T., Abukari, A., & Mazmi, H. A. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-4908-4.ch013 · Cited by 1 · see citing works
What’s missing from learning analytics? Challenging the assumption of neurotypicality
Harrington, S. (2026) · Interacting with Computers · doi:10.1093/iwc/iwag004 · Cited by 1 · see citing works
Vanbecelaere, S., Fastré, A., Reynvoet, B., & Depaepe, F. (2026) · Journal of Computer Assisted Learning · doi:10.1002/jcal.70243 · Cited by 1 · see citing works
Towards Human-AI Collaborative Cybersecurity Compliance Assessment
Orth, J. C., Palma, A., & Angelini, M. (2026) · Lecture notes in business information processing · doi:10.1007/978-3-032-27997-2_9 · Cited by 1 · see citing works
Молдаханова, М., Карієв, А., Zhanabergenovna, L. G., & Оразбаєва, Ф. (2024) · Insight the psychological dimensions of society · doi:10.32999/2663-970x/2024-11-19 · Cited by 1 · see citing works
9789180821773, & Mohseni, Z. A. (2024) · doi:10.15626/lud.532.2024 · Cited by 1 · see citing works
Self-citationInvestigação de distrações em cursos de introdução à programação com técnicas de Learning Analytics
Silva, T. L. B. E., Araújo, R. D., & Xavier, C. (2025) · doi:10.5753/educomp_estendido.2025.6610
Closing the Learning Analytics Loop through Explanatory Dashboard DesignPreprint
Klein, S., & Sellberg, C. (2025) · Research Square · doi:10.21203/rs.3.rs-7408850/v1
Exploring the Analytics Readiness Among Students in Kumasi Technical University, Ghana
Amos, E., Essel, H. B., Fobiri, G. K., Boakye, A. A., & Ampadu, Y. B. (2025) · SAGE Open · doi:10.1177/21582440251368938
Responsible AI-Powered Learning Architectures for Long-Term Educational Equity
Pediongco, J. B., & Meyliev, S. N. (2025) · Qubahan Techno Journal · doi:10.48161/qtj.v4n4a71
Mohan, D. G., Ghazali, M., Sharef, N. M., & Othman, N. Z. S. (2025) · IEEE International Conference on Computing (ICOCO) · doi:10.1109/icoco67189.2025.11334129
Grade 6 Coding Education through Interactive Learning in Sri Lanka
Nallaperuma, S., Perera, A., Nanayakkara, N. M. D. M. B., Hansaja, D., Krishara, J., & Wijendra, D. (2025) · International Conference on Information Technology Research (ICITR) · doi:10.1109/icitr69413.2025.11353741
Pertuit, T. L. (2026) · Professional School Counseling · doi:10.1177/2156759x261421920
Overview of Research on Higher Education Teachers’ Involvement in Learning Analytics
Marolt, M., & Jakšić, D. (2026) · Organizacija · doi:10.2478/orga-2026-0005
Moganapriya, B., & Fernandez, F. M. H. (2026) · International Conference on Electronics and Renewable Systems (ICEARS) · doi:10.1109/icears67481.2026.11416609
Гріщенко, П. С., & Кізім, С. С. (2025) · Modern Information Technologies and Innovation Methodologies of Education in Professional Training Methodology Theory Experience Problems · doi:10.31652/2412-1142-2025-78-45-56
Zheng, N., & Wang, Q. (2026) · International Conference on Informatics Education and Computer Technology Applications (IECA) · doi:10.1145/3802133.3802195
Syafri, U. A., Omar, Z. B., Asker, N. B. M., & Hassan, M. Y. B. (2026) · International Journal of Ethics Education · doi:10.1007/s40889-026-00245-8 · Cited by 4 · see citing works
Nursaidov, N., Vafoev, B., Mirzaaxmedov, D., & Jumaniуozova, M. (2025) · International Conference on Future Networks and Distributed Systems (ICFNDS) · doi:10.1145/3789692.3789793
Polishchuk, S., & Horbatiuk, O. (2026) · Academic Visions · doi:10.66556/2786-586x.53.polishchuk-s
Gabelaia, I. (2026) · Sustainability · doi:10.3390/su18104884
AI-Enhanced OER Observatory: A Framework for Personalized Inclusive Learning
Guillén-Yparrea, N., & García-López, I. M. (2026) · International Conference on Educational and Information Technology · doi:10.1109/iceit68991.2026.11521245
Li, H., Liang, L., Han, Y., Zhang, C., Song, Q., & Han, Z. (2026) · Education Sciences · doi:10.3390/educsci16060876
Peña, L. V. (2026) · Revista 3i Ingeniería Innovación Investigación · doi:10.70448/revista3i.v5i1.191
Utilizing Academic Analytic Dashboards in Improving Student Graduation Rates
Ibrahim, W. (2026) · International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) · doi:10.1109/iraset68627.2026.11538762
Digital competence profiles in Serbia and educational system implications
Stanković, N., Aleksić, V., & Nikolić, M. D. (2026) · Vojnotehnicki glasnik · doi:10.5937/vojtehg75-65441
Digital Multilingualism and IT-Supported Language Education in Higher Education
Юрченко, А. О., Kharchenko, I., Ostroha, M. M., Aleksakhina, T., Gorovoy, I., & Семеніхіна, О. В. (2026) · International Convention on Information and Communication Technology, Electronics and Microelectronics · doi:10.1109/mipro70003.2026.11591726
Orozco, M. T. V., & Crosetti, B. D. B. (2026) · Digital · doi:10.3390/digital6030056 · Cited by 1 · see citing works
From Theory to Interface: Operationalising Frameworks in the Design of Learning Analytics Dashboards
Sackey, A. K., Chipangura, B., & Lotriet, H. (2026) · Advances in Human-Computer Interaction · doi:10.1155/ahci/3448486
Towards a Scenario-Based Framework for Developing Multiple Learning Analytics Dashboards
Mohseni, Z. A., & Masiello, I. (2026) · Technology Knowledge and Learning · doi:10.1007/s10758-026-10018-3
Self-citationLearning-Science Grounded Design for Generative Artificial Intelligence in Education
Lin, J., & Hu, X. (2026) · Springer eBooks · doi:10.1007/978-3-032-24819-0_7
Vanbecelaere, S., Bach, K. M., Reynvoet, B., & Depaepe, F. (2026) · Learning and Individual Differences · doi:10.1016/j.lindif.2026.103003
Michael, J., Santoso, H. B., Cenka, B. A. N., & Hapsari, I. N. (2026) · Interactive Learning Environments · doi:10.1080/10494820.2026.2739435
Li, X., & Zhong, C. (2026) · International Conference on Artificial Intelligence, Digital Media and Education · doi:10.1145/3839592.3839623
Huang, Y., & Chen, L. (2026) · International Journal of Mobile and Blended Learning · doi:10.4018/ijmbl.424463
AGORA: Human-Supervised Automated Recommendations for Cybersecurity Compliance Auditing
Orth, J. C., Palma, A., & Angelini, M. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-36885-0_16
Yang, M., Wang, Y., Mao, H., Zhou, J., 闫朝, Gao, J., Xu, M., & He, Z. (2026) · International Conference on Big Data and Intelligent Medicine (BDIMed) · doi:10.1145/3816325.3843672
Mo, S., Jiang, R., Liu, M., & Liang, S. (2026) · International Conference on Intelligent Education and Computer Technology (IECT) · doi:10.1145/3845354.3845533
- Authors
- Masiello, I., Mohseni, Z. (., Palma, F., Nordmark, S., Augustsson, H., & Rundquist, R.
- Affiliations
- Linnaeus University (SE)
- University of New Brunswick (CA)
- Karolinska Institutet (SE)
- Corresponding author
- Masiello, Italo
- ORCID
- Venue
- Education Sciences
- Publisher
- MDPI AG
- Published
- 2024-01-11
- Volume
- 14
- Issue
- 1
- Pages
- 82
- ISSN
- 2227-7102 (ISSN-L)
- OpenAlex
- W4390738608
- Cited by
- 59
- References
- 38
- Citations by year
- 2026: 34 · 2025: 15 · 2024: 10
- FWCI
- 22.26
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Education Sciences (publishedVersion, cc-by)
- KTH Publication Database DiVA (KTH Royal Institute of Technology) (submittedVersion, other-oa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Swedish Research Council for Health, Working Life and Welfare (2020-01221, 2020/3209-5.1.1.)
- Växjö Kommun (2020-01221, 2020/3209-5.1.1.)
- 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 › Business, Management and Accounting › Management Information Systems › Big Data and Business Intelligence
- Keywords
- learning analytics, learning analytics dashboards, educational data visualization, student learning improvement, educational inequality, data ownership, data privacy, learning prediction, educational intervention, student self-regulation, game-based learning
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
