Citations (98)
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Hyun Sook Yi, Wooyoul Na & Changmook Lee. (2023) Predicting secondary school students’ academic achievement from their elementary school performance and learning behaviours: A longitudinal study based on South Korea’s national assessment of educational achievement. Asia Pacific Journal of Education 43:4, pages 1031-1048.
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Alper Bayazit, Hale Ilgaz, İpek Gönüllü & Şengül Erden. (2023) Profiling students via clustering in a flipped clinical skills course using learning analytics. Medical Teacher 45:7, pages 724-731.
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Myong-Hee Ko. (2022) Uncovering university students’ device usage patterns in a Korean online learning context using learning analytics. Computer Assisted Language Learning 35:9, pages 2563-2592.
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Mohammed Saqr, Jelena Jovanovic, Olga Viberg & Dragan Gašević. (2022) Is there order in the mess? A single paper meta-analysis approach to identification of predictors of success in learning analytics. Studies in Higher Education 47:12, pages 2370-2391.
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Chenglu Li, Wanli Xing & Walter Leite. (2022) Using fair AI to predict students’ math learning outcomes in an online platform. Interactive Learning Environments 0:0, pages 1-20.
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Avril Dewar, David Hope, Alan Jaap & Helen Cameron. (2021) Predicting failure before it happens: A 5-year, 1042 participant prospective study. Medical Teacher 43:9, pages 1039-1043.
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Olle ten Cate, Suzan Dahdal, Thomas Lambert, Florian Neubauer, Anina Pless, Philippe Fabian Pohlmann, Harold van Rijen & Corinne Gurtner. (2020) Ten caveats of learning analytics in health professions education: A consumer’s perspective. Medical Teacher 42:6, pages 673-678.
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K. H. Vincent Lau, Pue Farooque, Gary Leydon, Michael L. Schwartz, R. Mark Sadler & Jeremy J. Moeller. (2018) Using learning analytics to evaluate a video-based lecture series. Medical Teacher 40:1, pages 91-98.
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Randolph Nsor-Ambala. The impact of flipped classroom design on an advanced auditing and assurance class in Ghana. Accounting Education 0:0, pages 1-38.
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Articles from other publishers (89)
Saleh Alhazbi, Afnan Al‐ali, Aliya Tabassum, Abdulla Al‐Ali, Ahmed Al‐Emadi, Tamer Khattab & Mahmood A. Hasan. (2024)
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Eun-Kyung Chung, Heoncheol Yun, Jung-Ho Yang, Min-Ho Shin & Eui-Ryoung Han. (2024) Factors associated with academic performance among medical students at a medical school in South Korea: A retrospective cohort study. PLOS ONE 19:2, pages e0296682.
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Mohammed Saqr. (2024) Group-level analysis of engagement poorly reflects individual students’ processes: Why we need idiographic learning analytics. Computers in Human Behavior 150, pages 107991.
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Dirk Ifenthaler & Muhittin ŞAHİN. (2023) Empowering higher education students to monitor their learning progress: opportunities of computerised classification testing. Interactive Technology and Smart Education 20:3, pages 350-366.
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Anshul Kumar, Taylor DiJohnson, Roger A. Edwards & Lisa Walker. (2023) The Application of Adaptive Minimum Match k-Nearest Neighbors to Identify At-Risk Students in Health Professions Education. Journal of Physician Assistant Education 34:3, pages 171-177.
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Qian Liu, Tehmina Gladman, Julia Muir, Chen Wang & Rebecca Grainger. (2023) Analytics-Informed Design: Exploring Visualization of Learning Management Systems Recorded Data for Learning Design. SAGE Open 13:3.
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Mohammed Saqr, Sonsoles López-Pernas, Satu Helske & Stefan Hrastinski. (2023) The longitudinal association between engagement and achievement varies by time, students’ profiles, and achievement state: A full program study. Computers & Education 199, pages 104787.
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Hesham Allam, Zahoor Khan, Keletso Letsholo, Bharti Pandya, Kavita Shah & Jinesh Ahamed. (2023) A Proposed AI Method for Tracking College Students’ Academic Progress. A Proposed AI Method for Tracking College Students’ Academic Progress.
Iva Bojic, Maleyka Mammadova, Chin-Siang Ang, Wei Lung Teo, Cristina Diordieva, Anita Pienkowska, Dragan Gašević & Josip Car. (2023) Empowering Health Care Education Through Learning Analytics: In-depth Scoping Review. Journal of Medical Internet Research 25, pages e41671.
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Ricardo Miguel Santos & Roberto Henriques. (2023) Accurate, timely, and portable: Course-agnostic early prediction of student performance from LMS logs. Computers and Education: Artificial Intelligence 5, pages 100175.
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Mustafa Yağcı. (2022) Educational data mining: prediction of students' academic performance using machine learning algorithms. Smart Learning Environments 9:1.
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Cara J. Arizmendi, Matthew L. Bernacki, Mladen Raković, Robert D. Plumley, Christopher J. Urban, A. T. Panter, Jeffrey A. Greene & Kathleen M. Gates. (2022) Predicting student outcomes using digital logs of learning behaviors: Review, current standards, and suggestions for future work. Behavior Research Methods 55:6, pages 3026-3054.
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Alper Bayazit, Nihal Apaydin & Ipek Gonullu. (2022) Predicting At-Risk Students in an Online Flipped Anatomy Course Using Learning Analytics. Education Sciences 12:9, pages 581.
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Ilie Gligorea, Muhammad Usman Yaseen, Marius Cioca, Hortensia Gorski & Romana Oancea. (2022) An Interpretable Framework for an Efficient Analysis of Students’ Academic Performance. Sustainability 14:14, pages 8885.
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Tieyuan Liu, Chang Wang, Liang Chang & Tianlong Gu. (2022) Predicting High-Risk Students Using Learning Behavior. Mathematics 10:14, pages 2483.
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Xiaoli Feng, Kai Mi, Yan Shen, Hairong Hua, Yan Bian & Hui Bian. (2022) Rain Classroom assisted by WeChat for preliminary online physiology teaching during the COVID-19 pandemic. Advances in Physiology Education 46:2, pages 319-324.
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Denizer Yildirim & Yasemin Gülbahar. (2022) Implementation of Learning Analytics Indicators for Increasing Learners' Final Performance. Technology, Knowledge and Learning 27:2, pages 479-504.
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Kelsey Buckley, Kathleen Fairman, Elizabeth Pogge & Erin Raney. (2022) Use of Learning Management System Data to Predict Student Success in a Pharmacy Capstone Course. American Journal of Pharmaceutical Education 86:4, pages 8594.
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Yangyang Luo, Xibin Han & Chaoyang Zhang. (2022) Prediction of learning outcomes with a machine learning algorithm based on online learning behavior data in blended courses. Asia Pacific Education Review.
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Viera Anderkova, Tomas Adam & Frantisek Babic. (2022) Data-driven Student Performance Prediction. Data-driven Student Performance Prediction.
Teng Guo, Xiaomei Bai, Xue Tian, Selena Firmin & Feng Xia. (2022) Educational Anomaly Analytics: Features, Methods, and Challenges. Frontiers in Big Data 4.
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Dalia Abdulkareem Shafiq, Mohsen Marjani, Riyaz Ahamed Ariyaluran Habeeb & David Asirvatham. (2022) Student Retention Using Educational Data Mining and Predictive Analytics: A Systematic Literature Review. IEEE Access 10, pages 72480-72503.
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Maria Klose, Diana Steger, Julian Fick & Cordula Artelt. (2022) Decrypting Log Data. Zeitschrift für Psychologie 230:1, pages 3-15.
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Nerea Fernández Ros, Felipe Lucena, Mercedes Iñarrairaegui, Manuel F. Landecho, Patricia Sunsundegui, Carlota Jordán-Iborra, Iñigo Pineda, Jorge Quiroga & Jose Ignacio Herrero. (2021) Web-based formative assessment through clinical cases: role in pathophysiology teaching. BMC Medical Education 21:1.
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Mohammed Saqr & Sonsoles López-Pernas. (2021) The longitudinal trajectories of online engagement over a full program. Computers & Education 175, pages 104325.
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Thomas I. Nathaniel, Richard L . Goodwin, Lauren Fowler, Brooks McPhail & Asa C. BlackJr.Jr.. (2021) An Adaptive Blended Learning Model for the Implementation of an Integrated Medical Neuroscience Course During the Covid‐19 Pandemic. Anatomical Sciences Education 14:6, pages 699-710.
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Jelena Jovanović, Mohammed Saqr, Srećko Joksimović & Dragan Gašević. (2021) Students matter the most in learning analytics: The effects of internal and instructional conditions in predicting academic success. Computers & Education 172, pages 104251.
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Larian M. Nkomo & Muesser Nat. (2021) Student Engagement Patterns in a Blended Learning Environment: an Educational Data Mining Approach. TechTrends 65:5, pages 808-817.
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Chao Li, Zhaojing Zhang & Changhai Zhao. (2021) Performance Prediction Model Based on Multi-Layer Attention Mechanism for Programming Ability. Performance Prediction Model Based on Multi-Layer Attention Mechanism for Programming Ability.
Yoshikazu Asada, Hitoaki Okazaki, Naohiro Sata, Hiroshi Kawahira, Shinichi Yamamoto & Yasushi Matsuyama. (2021) The learning analytics and institutional research based on the usage of Moodle after COVID-19 pandemic. The learning analytics and institutional research based on the usage of Moodle after COVID-19 pandemic.
Machiko Saeki Yagi, Yoshikazu Asada, Mitsue Suzuki & Reiko Murakami. (2021) Impact of the availability of care for patients with COVID-19 on nurses' progress in distance learning. Impact of the availability of care for patients with COVID-19 on nurses' progress in distance learning.
Apittha Unahalekhaka & Marina Umaschi Bers. (2021) Taking coding home: analysis of ScratchJr usage in home and school settings. Educational Technology Research and Development 69:3, pages 1579-1598.
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María Consuelo Sáiz-Manzanares, Juan José Rodríguez-Díez, José Francisco Díez-Pastor, Sandra Rodríguez-Arribas, Raúl Marticorena-Sánchez & Yi Peng Ji. (2021) Monitoring of Student Learning in Learning Management Systems: An Application of Educational Data Mining Techniques. Applied Sciences 11:6, pages 2677.
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Alpaslan Senkoylu, Berkay Senkoylu, Irem Budakoglu, Özlem Coskun & Emre Acaroglu. (2020) Blended Learning Is a Feasible and Effective Tool for Basic Pediatric Spinal Deformity Training. Global Spine Journal 11:2, pages 219-223.
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Veselina Nedeva & Tanya Pehlivanova. (2021) Students’ Performance Analyses Using Machine Learning Algorithms in WEKA. IOP Conference Series: Materials Science and Engineering 1031:1, pages 012061.
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Chen Qiao & Xiao Hu. (2019) A joint neural network model for combining heterogeneous user data sources: An example of at‐risk student prediction. Journal of the Association for Information Science and Technology 71:10, pages 1192-1204.
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Laura Dooley & Nikolas Makasis. (2020) Understanding Student Behavior in a Flipped Classroom: Interpreting Learning Analytics Data in the Veterinary Pre-Clinical Sciences. Education Sciences 10:10, pages 260.
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Yoshikazu ASADA, Hitoaki OKAZAKI, Naohiro SATA, Hiroshi KAWAHIRA, Shinichi YAMAMOTO & Yasushi MATSUYAMA. (2020) A Moodle-Based E-Syllabus for Institutional Research: Curriculum Mapping and Competency Assessments. A Moodle-Based E-Syllabus for Institutional Research: Curriculum Mapping and Competency Assessments.
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