Citations (16)
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Adam Rodman, Hannah R. Abrams, Matthew Watto, Shreya Trivedi, Jeff Barbee, Alejandro Meraz-Munoz & Martin C. Fried. (2021) Medical Podcasting in Low- and Middle-Income Countries: A Needs Assessment and Vision for the Future. Teaching and Learning in Medicine 33:4, pages 416-422.
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Haifa Fahad Bin Mubayrik. (2020) Exploring Adult Learners’ Viewpoints and Motivation Regarding Distance Learning in Medical Education. Advances in Medical Education and Practice 11, pages 139-146.
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Santiago Pozo-Sánchez, Jesús López-Belmonte, Antonio-Manuel Rodríguez-García & Juan-Antonio López-Núñez. (2020) Teachers’ digital competence in using and analytically managing information in flipped learning (Competencia digital docente para el uso y gestión analítica informacional del aprendizaje invertido). Culture and Education 32:2, pages 213-241.
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Ronald M. Harden. (2018) Ten key features of the future medical school—not an impossible dream. Medical Teacher 40:10, pages 1010-1015.
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Morris Gordon, Michelle Daniel, Aderonke Ajiboye, Hussein Uraiby, Nicole Y. Xu, Rangana Bartlett, Janice Hanson, Mary Haas, Maxwell Spadafore, Ciaran Grafton-Clarke, Rayhan Yousef Gasiea, Colin Michie, Janet Corral, Brian Kwan, Diana Dolmans & Satid Thammasitboon. A scoping review of artificial intelligence in medical education: BEME Guide No. 84. Medical Teacher 0:0, pages 1-25.
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Articles from other publishers (11)
Yessane Shrrie Nagendhra Rao & Chwen Jen Chen. (2024) Bibliometric insights into data mining in education research: A decade in review. Contemporary Educational Technology 16:2, pages ep502.
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Donovan Makus, Anshu Kashyap, Mark Labib & Susan Humphrey-Murto. (2023) A Curriculum Ignored? The Usage of Unofficial Commercial and Peer Learning Resources in Undergraduate Medical Education at a Canadian Medical School. Medical Science Educator 33:6, pages 1379-1388.
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Liliia O. Fadieieva. (2023) Adaptive learning: a cluster-based literature review (2011-2022). Educational Technology Quarterly 2023:3, pages 319-366.
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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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Sandra Kemp, Viktoria C. T. Goddard, Katharine Boursicot, Richard Fuller & Vishna Devi Nadarajah. (2023) Supporting validity: steps to contextualise applications for technology and assessment, for learning. MedEdPublish 13, pages 37.
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Rola Khamisy-Farah, Peter Gilbey, Leonardo B. Furstenau, Michele Kremer Sott, Raymond Farah, Maurizio Viviani, Maurizio Bisogni, Jude Dzevela Kong, Rosagemma Ciliberti & Nicola Luigi Bragazzi. (2021) Big Data for Biomedical Education with a Focus on the COVID-19 Era: An Integrative Review of the Literature. International Journal of Environmental Research and Public Health 18:17, pages 8989.
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FangYao Xu, ZhiQiang Li, JiaQi Yue & ShaoJie Qu. 2021. Intelligent Computing. Intelligent Computing
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Julio Ruiz-Palmero, Ernesto Colomo-Magaña, José Manuel Ríos-Ariza & Melchor Gómez-García. (2020) Big Data in Education: Perception of Training Advisors on Its Use in the Educational System. Social Sciences 9:4, pages 53.
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José-Antonio Marín-Marín, Jesús López-Belmonte, Juan-Miguel Fernández-Campoy & José-María Romero-Rodríguez. (2019) Big Data in Education. A Bibliometric Review. Social Sciences 8:8, pages 223.
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Jesús López-Belmonte, Santiago Pozo-Sánchez, Arturo Fuentes-Cabrera & Juan-Manuel Trujillo-Torres. (2019) Analytical Competences of Teachers in Big Data in the Era of Digitalized Learning. Education Sciences 9:3, pages 177.
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Qilang Liang & Na Chang Hainan. (2019) Adaptive Learning Model and Implementation Based on Big Data. Adaptive Learning Model and Implementation Based on Big Data.