Personalisation methods in e-learning-A literature review

The Power of Feedback

Hattie, J., & Timperley, H. (2007) · Review of Educational Research · doi:10.3102/003465430298487 · Cited by 12,905 · cited 1× · see citing works

Visible Learning for Teachers

Hattie, J. (2012) · doi:10.4324/9780203181522 · Cited by 2,155 · see citing works

Adaptive hypermedia

Brusilovsky, P. (2001) · User Modeling and User-Adapted Interaction · doi:10.1023/a:1011143116306 · Cited by 2,057 · see citing works

Content-based Recommender Systems: State of the Art and Trends

Lops, P., de Gemmis, M., & Semeraro, G. M. (2010) · Springer eBooks · doi:10.1007/978-0-387-85820-3_3 · Cited by 1,941 · see citing works

Penetrating the Fog: Analytics in Learning and Education.

Siemens, G., & Long, P. (2011) · Adelaide Research & Scholarship (AR&S) (University of Adelaide) · Cited by 1,752 · see citing works

Handbook of Research on Educational Communications and Technology

(2014) · doi:10.1007/978-1-4614-3185-5 · Cited by 1,475 · see citing works

Engagement Matters: Student Perceptions on the Importance of Engagement Strategies in the Online Learning Environment

Martin, F., & Bolliger, D. U. (2018) · Online Learning · doi:10.24059/olj.v22i1.1092 · Cited by 1,435 · see citing works

NMC Horizon Report: 2017 Higher Education Edition

Becker, S. A., Brown, M., Dahlstrom, E., Davis, A., DePaul, K., Díaz, V., & Pomerantz, J. (2017) · Cited by 1,243 · see citing works

Hybrid Web Recommender Systems

Burke, R. (2007) · Springer eBooks · doi:10.1007/978-3-540-72079-9_12 · Cited by 1,194 · see citing works

Educational data mining and learning analytics: An updated survey

Romero, C., & Ventura, S. (2020) · Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery · doi:10.1002/widm.1355 · Cited by 1,163 · see citing works

Course signals at Purdue: using learning analytics to increase student success

Arnold, K. E., & Pistilli, M. D. (2012) · Proceedings of the 2nd International Conference on Learning Analytics and Knowledge · doi:10.1145/2330601.2330666 · Cited by 987 · see citing works

Intelligent tutoring systems: A systematic review of characteristics, applications, and evaluation methods

Mousavinasab, E., Zarifsanaiey, N., R. Niakan Kalhori, S., Rakhshan, M., Keikha, L., & Ghazi Saeedi, M. (2021) · Interactive Learning Environments · doi:10.1080/10494820.2018.1558257 · Cited by 605 · see citing works

E-Learning personalization based on hybrid recommendation strategy and learning style identification

Klašnja-Milićević, A., Vesin, B., Ivanović, M., & Budimac, Z. (2011) · Computers & Education · doi:10.1016/j.compedu.2010.11.001 · Cited by 580 · see citing works

Educational data mining and learning analytics for 21st century higher education: a review and synthesis.

Aldowah, H., Al-Samarraie, H., & Fauzy, W. M. (2019) · Telematics and Informatics · doi:10.1016/j.tele.2019.01.007 · Cited by 564 · see citing works

A systematic literature review of personalized learning terms

Shemshack, A., & Spector, J. M. (2020) · Smart Learning Environments · doi:10.1186/s40561-020-00140-9 · Cited by 539 · cited 5× · see citing works

Integrating learning styles and adaptive e-learning system: Current developments, problems and opportunities

Truong, H. M. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2015.02.014 · Cited by 531 · see citing works

Trends in Educational Research about e-Learning: A Systematic Literature Review (2009–2018)

Berrocoso, J. V., Arroyo, M. D. C. G., Videla, C. G. B., & Cevallos, M. B. M. (2020) · Sustainability · doi:10.3390/su12125153 · Cited by 526 · see citing works

Scaffolded writing and rewriting in the discipline: A web-based reciprocal peer review system

Cho, K., & Schunn, C. D. (2005) · Computers & Education · doi:10.1016/j.compedu.2005.02.004 · Cited by 522 · see citing works

MOODLE: Using learning communities to create an open source course management system

Dougiamas, M., & Taylor, P. C. S. (2003) · Murdoch University Research Portal · Cited by 521 · see citing works

Knowledge-based recommendation: a review of ontology-based recommender systems for e-learning

Tarus, J. K., Niu, Z., & Mustafa, G. (2017) · Artificial Intelligence Review · doi:10.1007/s10462-017-9539-5 · Cited by 494 · see citing works

Gamification applications in E-learning: a literature review

Saleem, A. N., Noori, N. M., & Ozdamli, F. (2022) · Technology, Knowledge and Learning · doi:10.1007/s10758-020-09487-x · Cited by 478 · see citing works

Stop propagating the learning styles myth

Kirschner, P. A. (2016) · Computers & Education · doi:10.1016/j.compedu.2016.12.006 · Cited by 464 · see citing works

Learning dashboards: an overview and future research opportunities

Verbert, K., Govaerts, S., Duval, E., Santos, J. L., Assche, F. V., Parra, G., & Klerkx, J. (2013) · Personal and Ubiquitous Computing · doi:10.1007/s00779-013-0751-2 · Cited by 456 · see citing works

Automatic feedback in online learning environments: A systematic literature review

Cavalcanti, A. P., Barbosa, A., Carvalho, R., Freitas, F., Tsai, Y.-S., Gašević, D., & Mello, R. F. (2021) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2021.100027 · Cited by 440 · see citing works

A Systematic Review of Empirical Studies on Learning Analytics Dashboards: A Self-Regulated Learning Perspective

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

Intelligent web-based learning system with personalized learning path guidance

Chen, C. (2007) · Computers & Education · doi:10.1016/j.compedu.2007.08.004 · Cited by 413 · see citing works

Learning Analytics Methods, Benefits, and Challenges in Higher Education: A Systematic Literature Review

Nunn, S. G., Avella, J. T., Kanai, T., & Kebritchi, M. (2016) · Online Learning · doi:10.24059/olj.v20i2.790 · Cited by 395 · see citing works

Learning Analytics for Learning Design: A Systematic Literature Review of Analytics-Driven Design to Enhance Learning

Mangaroska, K., & Giannakos, M. N. (2018) · IEEE Transactions on Learning Technologies · doi:10.1109/tlt.2018.2868673 · Cited by 395 · see citing works

Personalizing the Interaction in a Web-based Educational Hypermedia System: the case of INSPIRE

Papanikolaou, K. A., Grigoriadou, M., Kornilakis, H., & Magoulas, G. D. (2003) · User Modeling and User-Adapted Interaction · doi:10.1023/a:1024746731130 · Cited by 390 · see citing works

A systematic review: machine learning based recommendation systems for e-learning

Khanal, S. S., Prasad, P. W. C., Alsadoon, A., & Maag, A. (2019) · Education and Information Technologies · doi:10.1007/s10639-019-10063-9 · Cited by 379 · see citing works

A Review of Content-Based and Context-Based Recommendation Systems

Javed, U., Shaukat, K., Hameed, I. A., et al. (2021) · International Journal of Emerging Technologies in Learning (iJET) · doi:10.3991/ijet.v16i03.18851 · Cited by 362 · see citing works

A recommender system based on collaborative filtering using ontology and dimensionality reduction techniques

Nilashi, M., Ibrahim, O., & Bagherifard, K. (2017) · Expert Systems with Applications · doi:10.1016/j.eswa.2017.09.058 · Cited by 360 · see citing works

Engagement detection in online learning: a review

Dewan, M. A. A., Murshed, M., & Lin, F. O. (2019) · Smart Learning Environments · doi:10.1186/s40561-018-0080-z · Cited by 353 · see citing works

Hybrid recommender systems: A systematic literature review

Çano, E., & Morisio, M. (2017) · Intelligent Data Analysis · doi:10.3233/ida-163209 · Cited by 352 · see citing works

Recommender Systems: The Textbook

Aggarwal, C. C. (2016) · Springer eBooks · doi:10.1007/978-3-319-29659-3 · Cited by 342 · see citing works

Exploring Factors, and Indicators for Measuring Students’ Sustainable Engagement in e-Learning

Lee, J., Song, H.-D., & Hong, A. J. (2019) · Sustainability · doi:10.3390/su11040985 · Cited by 323 · see citing works

The effectiveness of technology‐supported personalised learning in low‐ and middle‐income countries: A meta‐analysis

Major, L., Francis, G. A., & Tsapali, M. (2021) · British Journal of Educational Technology · doi:10.1111/bjet.13116 · Cited by 318 · see citing works

Systematic review of adaptive learning research designs, context, strategies, and technologies from 2009 to 2018

Martin, F., Chen, Y., Moore, R. L., & Westine, C. D. (2020) · Educational Technology Research and Development · doi:10.1007/s11423-020-09793-2 · Cited by 306 · see citing works

Data Mining

Baker, R. S. (2010) · Elsevier eBooks · doi:10.1016/b978-0-08-044894-7.01318-x · Cited by 296 · see citing works

Appraising research on personalized learning: Definitions, theoretical alignment, advancements, and future directions

Walkington, C., & Bernacki, M. L. (2020) · Journal of Research on Technology in Education · doi:10.1080/15391523.2020.1747757 · Cited by 292 · see citing works

Applying Data Mining Techniques to e-Learning Problems

Castro, F., Vellido, A., Àngela Nebot, B., & Mugica, F. (2007) · Studies in computational intelligence · doi:10.1007/978-3-540-71974-8_8 · Cited by 280 · see citing works

Learning Analytics in Higher Education—A Literature Review

Leitner, P., Khalil, M., & Ebner, M. (2017) · Studies in systems, decision and control · doi:10.1007/978-3-319-52977-6_1 · Cited by 263 · see citing works

Semantics-Aware Content-Based Recommender Systems

de Gemmis, M., Lops, P., Musto, C., Narducci, F., & Semeraro, G. M. (2015) · Springer eBooks · doi:10.1007/978-1-4899-7637-6_4 · Cited by 258 · see citing works

Personalized learning full-path recommendation model based on LSTM neural networks

Zhou, Y., Huang, C., Hu, Q., Zhu, J., & Tang, Y. Z. (2018) · Information Sciences · doi:10.1016/j.ins.2018.02.053 · Cited by 255 · see citing works

Assessing experiential learning styles: A methodological reconstruction and validation of the Kolb Learning Style Inventory

Manolis, C., Burns, D. J., Assudani, R. H., & Chinta, R. C. (2012) · Learning and Individual Differences · doi:10.1016/j.lindif.2012.10.009 · Cited by 250 · see citing works

Matching learning style to instructional method: Effects on comprehension

Rogowsky, B. A., Calhoun, B. M., & Tallal, P. (2015) · Journal of Educational Psychology · doi:10.1037/a0037478 · Cited by 241 · cited 1× · see citing works

Evidence-Based Higher Education – Is the Learning Styles ‘Myth’ Important?

Newton, P., & Miah, M. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.00444 · Cited by 234 · see citing works

Smart Recommendation for an Evolving E-Learning System: Architecture and Experiment

Tang, T. Y., & McCalla, G. (2005) · PolyU Institutional Research Archive (Hong Kong Polytechnic University) · Cited by 228 · see citing works

Constructing a personalized e-learning system based on genetic algorithm and case-based reasoning approach

HUANG, M., HUANG, H., & CHEN, M. (2006) · Expert Systems with Applications · doi:10.1016/j.eswa.2006.05.019 · Cited by 222 · see citing works

ActiveMath: A Generic and Adaptive Web-Based Learning Environment

Erica Melis, C., Andrés, E., Büdenbender, J., Frischauf, A., Libbrecht, P., Pollet, M., Ullrich, C., Andrés, E., Büdenbender, J., & Goguadze, G. (2001) · HAL · Cited by 217 · see citing works

Intelligent Tutoring Systems: A Comprehensive Historical Survey with Recent Developments

Alkhatlan, A., & Kalita, J. K. (2019) · International Journal of Computer Applications · doi:10.5120/ijca2019918451 · Cited by 206 · see citing works

Incorporating learning styles in hypermedia environment: Empirical evaluation

Bajraktarevic, N., Hall, W., & Fullick, P. (2003) · Cited by 204 · see citing works

Development of the Learning Analytics Dashboard to Support Students' Learning Performance

Jo, I.-H., & Park, Y. (2020) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.3217/jucs-021-01-0110 · Cited by 203 · see citing works

Review of ontology-based recommender systems in e-learning

George, G., & Lal, A. M. (2019) · Computers & Education · doi:10.1016/j.compedu.2019.103642 · Cited by 201 · see citing works

Metadoc: An Adaptive Hypertext Reading System

Boyle, C., & Encarnacion, A. O. (1998) · Springer eBooks · doi:10.1007/978-94-017-0617-9_3 · Cited by 199 · see citing works

MoodleREC: A recommendation system for creating courses using the moodle e-learning platform

Medio, C. D., Limongelli, C., Sciarrone, F., & Temperini, M. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2019.106168 · Cited by 199 · see citing works

The use of video technology for providing feedback to students: Can it enhance the feedback experience for staff and students?

Crook, A. C., Mauchline, A. L., Maw, S. J., Lawson, C., Drinkwater, R., Lundqvist, K. Ø., Orsmond, P., Gomez, S., & Park, J. R. (2011) · Computers & Education · doi:10.1016/j.compedu.2011.08.025 · Cited by 193 · see citing works

Prediction of students performance using Educational Data Mining

Devasia, T., Vinushree, T. P., & Hegde, V. (2016) · doi:10.1109/sapience.2016.7684167 · Cited by 190 · see citing works

Educational Data Mining: A review of evaluation process in the e-learning

Rodrigues, M. W., Isotani, S., & Zárate, L. E. (2018) · Telematics and Informatics · doi:10.1016/j.tele.2018.04.015 · Cited by 190 · see citing works

RecomMetz: A context-aware knowledge-based mobile recommender system for movie showtimes

Colombo-Mendoza, L. O., Valencia‐García, R., Rodríguez‐González, A., et al. (2014) · Expert Systems with Applications · doi:10.1016/j.eswa.2014.09.016 · Cited by 184 · see citing works

A hybrid recommendation algorithm adapted in e-learning environments

Chen, W., Niu, Z., Zhao, X., & Li, Y. (2012) · World Wide Web · doi:10.1007/s11280-012-0187-z · Cited by 183 · see citing works

How Do We Model Learning at Scale? A Systematic Review of Research on MOOCs

Joksimović, S., Poquet, O., Kovanović, V., Dowell, N., Mills, C., Gašević, D., Dawson, S., Graesser, A. C., & Brooks, C. (2018) · Review of Educational Research · doi:10.3102/0034654317740335 · Cited by 182 · see citing works

Adaptive e-learning systems through learning styles: A review of the literature

Katsaris, I., & Vidakis, N. (2021) · Advances in Mobile Learning Educational Research · doi:10.25082/amler.2021.02.007 · Cited by 176 · see citing works

Recommender systems in e-learning environments: a survey of the state-of-the-art and possible extensions

Klašnja‐Milićević, A., Ivanović, M. D., & Νανόπουλος, Α. (2015) · Artificial Intelligence Review · doi:10.1007/s10462-015-9440-z · Cited by 175 · see citing works

A hybrid recommender system for e-learning based on context awareness and sequential pattern mining

Tarus, J. K., Niu, Z., & Kalui, D. M. (2017) · Soft Computing · doi:10.1007/s00500-017-2720-6 · Cited by 165 · see citing works

A learning style classification mechanism for e-learning

Chang, Y.-C., Kao, W.-Y., Chu, C., & Chiu, C. (2009) · Computers & Education · doi:10.1016/j.compedu.2009.02.008 · Cited by 164 · see citing works

Learning path recommendation based on modified variable length genetic algorithm

Dwivedi, P., Kant, V., & Bharadwaj, K. K. (2017) · Education and Information Technologies · doi:10.1007/s10639-017-9637-7 · Cited by 162 · see citing works

Enhancing the Impact of Formative Feedback on Student Learning through an Online Feedback System.

Hatziapostolou, T., & Paraskakis, I. (2010) · The Electronic Journal of e-Learning · Cited by 161 · see citing works

A Personalized e-Learning material Recommender System

Lü, J. (2004) · OPUS - Open Publications of UTS Scholars (University of Technology Sydney) · Cited by 158 · see citing works

A study of the relationship between students’ engagement and their academic performances in an eLearning environment

Rajabalee, Y. B., Santally, M. I., & Rennie, F. (2019) · E-Learning and Digital Media · doi:10.1177/2042753019882567 · Cited by 158 · see citing works

Open learner models and learning analytics dashboards

Bodily, R., Kay, J., Aleven, V., Jivet, I., Davis, D., Xhakaj, F., & Verbert, K. (2018) · International Conference on Learning Analytics and Knowledge (LAK) · doi:10.1145/3170358.3170409 · Cited by 154 · see citing works

Learner modeling for adaptive scaffolding in a Computational Thinking-based science learning environment

Basu, S., Biswas, G., & Kinnebrew, J. S. (2017) · User Modeling and User-Adapted Interaction · doi:10.1007/s11257-017-9187-0 · Cited by 152 · see citing works

Open learner models in supporting self-regulated learning in higher education: A systematic literature review

Hooshyar, D., Pedaste, M., Saks, K., Leijen, Ä., Bardone, E., & Wang, M. (2020) · Computers & Education · doi:10.1016/j.compedu.2020.103878 · Cited by 152 · see citing works

Sustainability Analysis of the E-Learning Education System during Pandemic Period—COVID-19 in Romania

Ionescu, C. A., Paschia, L., Nicolau, N. L. G., Stănescu, S. G., Stancescu, V. M. N., Coman, M. D., & Uzlău, M. C. (2020) · Sustainability · doi:10.3390/su12219030 · Cited by 152 · see citing works

Personalisation in educational technology: The absence of underlying pedagogies

Bartolomé, A., Castañeda, L., & Adell, J. (2018) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-018-0095-0 · Cited by 150 · see citing works

Personalized recommender system for e-Learning environment

Benhamdi, S., Babouri, A., & Chiky, R. (2017) · Education and Information Technologies · doi:10.1007/s10639-016-9504-y · Cited by 146 · see citing works

Learning materials recommendation using good learners’ ratings and content-based filtering

Ghauth, K. I., & Abdullah, N. A. (2010) · Educational Technology Research and Development · doi:10.1007/s11423-010-9155-4 · Cited by 145 · see citing works

Semantic Web and Education

Devedžić, V. (2006) · Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)) · doi:10.1007/978-0-387-35417-0 · Cited by 145 · see citing works

Does the use of educational technology in personalized learning environments correlate with self-reported digital skills and beliefs of secondary-school students?

Schmid, R., & Petko, D. (2019) · Computers & Education · doi:10.1016/j.compedu.2019.03.006 · Cited by 144 · see citing works

The Role of e-Learning Materials in Enhancing Teaching and Learning Behaviors

Alenezi, A. (2020) · International Journal of Information and Education Technology · doi:10.18178/ijiet.2020.10.1.1338 · Cited by 136 · see citing works

An e-learning recommendation approach based on the self-organization of learning resource

Wan, S., & Niu, Z. (2018) · Knowledge-Based Systems · doi:10.1016/j.knosys.2018.06.014 · Cited by 131 · see citing works

The design and evaluation of a computerized adaptive test on mobile devices

Triantafillou, E., Georgiadou, E., & Economides, A. A. (2007) · Computers & Education · doi:10.1016/j.compedu.2006.12.005 · Cited by 130 · see citing works

Authoring Tools for Designing Intelligent Tutoring Systems: a Systematic Review of the Literature

Dermeval, D., Paiva, R., Bittencourt, I. I., Vassileva, J., & Borges, D. C. (2017) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-017-0157-9 · Cited by 126 · see citing works

Clustering Algorithms Applied in Educational Data Mining

Dutt, A. (2014) · International Journal of Information and Electronics Engineering · doi:10.7763/ijiee.2015.v5.513 · Cited by 125 · see citing works

Adaptive feedback in computer-based learning environments: a review

Bimba, A. T., Idris, N. B., Al-Hunaiyyan, A. A., Mahmud, R. B., & Shuib, L. M. (2017) · Adaptive Behavior · doi:10.1177/1059712317727590 · Cited by 123 · see citing works

The scalable implementation of predictive learning analytics at a distance learning university: Insights from a longitudinal case study

Herodotou, C., Rienties, B., Hlosta, M., Boroowa, A., Mangafa, C., & Zdráhal, Z. (2020) · The Internet and Higher Education · doi:10.1016/j.iheduc.2020.100725 · Cited by 121 · see citing works

Adaptive educational systems on the world-wide-web: A review of available technologies

Brusilovsky, P. L. (1998) · Cited by 118 · see citing works

Clustering for improving educational process mining

Bogarín, A., Romero, C., Cerezo, R., et al. (2014) · International Conference on Learning Analytics and Knowledge (LAK) · doi:10.1145/2567574.2567604 · Cited by 117 · see citing works

Teaching to Connect: Community-Building Strategies for the Virtual Classroom

Berry, S. (2019) · Online Learning · doi:10.24059/olj.v23i1.1425 · Cited by 117 · see citing works

Learning Analytics in Online Learning Environment: A Systematic Review on the Focuses and the Types of Student-Related Analytics Data

Kew, S. N., & Tasir, Z. (2021) · Technology Knowledge and Learning · doi:10.1007/s10758-021-09541-2 · Cited by 116 · see citing works

The Power of an Idea: The International Impacts of the Grand Challenges for Engineering

Mote, C. D., Dowling, D. A., & Ji, Z. (2016) · Engineering · doi:10.1016/j.eng.2016.01.025 · Cited by 115 · see citing works

Effects of Competitive E-Learning Tools on Higher Education Students: A Case Study

Regueras, L. M., Verdú, E., Muñoz-Moreno, M. F., et al. (2009) · IEEE Transactions on Education · doi:10.1109/te.2008.928198 · Cited by 114 · see citing works

Anatomy of Student Models in Adaptive Learning Systems: A Systematic Literature Review of Individual Differences from 2001 to 2013

Nakić, J., Granić, A., & Glavinić, V. (2015) · Journal of Educational Computing Research · doi:10.2190/ec.51.4.e · Cited by 114 · see citing works

An attribute-based ant colony system for adaptive learning object recommendation

Yang, Y. J., & Wu, C.-I. (2008) · Expert Systems with Applications · doi:10.1016/j.eswa.2008.01.066 · Cited by 111 · see citing works

PLORS: a personalized learning object recommender system

Imran, H., Belghis-Zadeh, M., Chang, T., et al. (2015) · Vietnam Journal of Computer Science · doi:10.1007/s40595-015-0049-6 · Cited by 109 · see citing works

Dynamic Courseware Generation on the WWW

Vassileva, J., & Deters, R. (1998) · British Journal of Educational Technology · doi:10.1111/1467-8535.00041 · Cited by 109 · see citing works

Video feedback and e-Learning enhances laboratory skills and engagement in medical laboratory science students

Donkin, R., Askew, E., & Stevenson, H. (2019) · BMC Medical Education · doi:10.1186/s12909-019-1745-1 · Cited by 109 · see citing works

Learner modelling: systematic review of the literature from the last 5 years

Abyaa, A., Idrissi, M. K., & Bennani, S. (2019) · Educational technology research and development · doi:10.1007/s11423-018-09644-1 · Cited by 108 · see citing works

Use of Felder and Silverman learning style model for online course design

El-Bishouty, M. M., Aldraiweesh, A., Alturki, U., et al. (2018) · Educational Technology Research and Development · doi:10.1007/s11423-018-9634-6 · Cited by 107 · see citing works

Dimensions of personalisation in technology‐enhanced learning: A framework and implications for design

FitzGerald, E., Kucirkova, N., Jones, A., Cross, S., Ferguson, R., Herodotou, C., Hillaire, G., & Scanlon, E. (2018) · British Journal of Educational Technology · doi:10.1111/bjet.12534 · Cited by 104 · see citing works

Features and trends of personalised learning: a review of journal publications from 2001 to 2018

Li, K. C., & Wong, B. T. M. (2020) · Interactive Learning Environments · doi:10.1080/10494820.2020.1811735 · Cited by 104 · see citing works

Learning Analytics: Principles and Constraints

Khalil, M., & Ebner, M. (2015) · doi:10.13140/rg.2.1.1733.2083 · Cited by 103 · see citing works

LPR: A bio-inspired intelligent learning path recommendation system based on meaningful learning theory

Niknam, M., & Thulasiraman, P. (2020) · Education and Information Technologies · doi:10.1007/s10639-020-10133-3 · Cited by 102 · see citing works

E-Learning standards and learning analytics. Can data collection be improved by using standard data models?

del Blanco, Á., Serrano, A., Freire, M., et al. (2013) · IEEE Global Engineering Education Conference (EDUCON) · doi:10.1109/educon.2013.6530268 · Cited by 101 · see citing works

Personalized and Adaptive Learning

Taylor, D. L., Yeung, M., & Bashet, A. (2021) · Innovative Learning Environments in STEM Higher Education · doi:10.1007/978-3-030-58948-6_2 · Cited by 100 · see citing works

Learning content design and learner adaptation for adaptive e-learning environment: a survey

Premlatha, K. R., & Geetha, T. V. (2015) · Artificial Intelligence Review · doi:10.1007/s10462-015-9432-z · Cited by 98 · see citing works

Recommender systems

Alyari, F., & Navimipour, N. J. (2018) · Kybernetes · doi:10.1108/k-06-2017-0196 · Cited by 96 · see citing works

There are Open Learner Models About!

Susan Bull, A. (2020) · IEEE Transactions on Learning Technologies · doi:10.1109/tlt.2020.2978473 · Cited by 91 · see citing works

Student Learning Style and Asynchronous Computer-Mediated Conferencing (CMC) Interaction

Fahy, P. J., & Ally, M. (2005) · American Journal of Distance Education · doi:10.1207/s15389286ajde1901_2 · Cited by 90 · see citing works

Utilizing crowdsourcing and machine learning in education: Literature review

Al-Enezi, H., & Faisal, M. H. (2020) · Education and Information Technologies · doi:10.1007/s10639-020-10102-w · Cited by 89 · see citing works

Learning Analytics: A Systematic Literature Review

Banihashem, S. K., Aliabadi, K., Ardakani, S. P., Delaver, A., & Ahmadabadi, M. N. (2018) · Interdisciplinary Journal of Virtual Learning in Medical Sciences · doi:10.5812/ijvlms.63024 · Cited by 87 · see citing works

The Design of AHA!

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