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Sales, Adam C.; Prihar, Ethan B.; Gagnon-Bartsch, Johann A.; Heffernan, Neil T. – Journal of Educational Data Mining, 2023
Randomized A/B tests within online learning platforms represent an exciting direction in learning sciences. With minimal assumptions, they allow causal effect estimation without confounding bias and exact statistical inference even in small samples. However, often experimental samples and/or treatment effects are small, A/B tests are underpowered,…
Descriptors: Data Use, Research Methodology, Randomized Controlled Trials, Educational Technology
Sancenon, Vicente; Wijaya, Kharisma; Wen, Xavier Yue Shu; Utama, Diaz Adi; Ashworth, Mark; Ng, Kelvin Hongrui; Cheong, Alicia; Neo, Zhizhong – International Journal of Virtual and Personal Learning Environments, 2022
Although there is increasing acceptance that personalization improves learning outcomes, there is still limited experimental evidence supporting this claim. The aim of this study was to implement and evaluate the effectiveness of an adaptive recommendation system for Singapore primary and secondary education. The system leverages users trace data…
Descriptors: Academic Achievement, Electronic Learning, Learning Analytics, Learning Processes
de Hoop, Thomas; Brudevold-Newman, Andrew; Davis, Dustin – American Institutes for Research, 2018
Low- and middle-income countries have made significant progress getting children into school, but student learning and achievement are often dreadfully low (Berry, Barnett, & Hinton, 2015; Pritchett, 2013). Approximately 250 million children across the world are not acquiring basic reading and math skills, even though about half have spent at…
Descriptors: Randomized Controlled Trials, Networks, Electronic Learning, Educational Technology
Ostrow, Korinn S.; Heffernan, Neil T.; Williams, Joseph Jay – Teachers College Record, 2017
Background/Context: Large-scale randomized controlled experiments conducted in authentic learning environments are commonly high stakes, carrying extensive costs and requiring lengthy commitments for all-or-nothing results amidst many potential obstacles. Educational technologies harbor an untapped potential to provide researchers with access to…
Descriptors: Educational Technology, Authentic Learning, Technology Uses in Education, Cooperation
Ostrow, Korinn; Heffernan, Neil; Williams, Joseph Jay – Grantee Submission, 2017
Background/Context: Large-scale randomized controlled experiments conducted in authentic learning environments are commonly high stakes, carrying extensive costs and requiring lengthy commitments for all-or-nothing results amidst many potential obstacles. Educational technologies harbor an untapped potential to provide researchers with access to…
Descriptors: Educational Technology, Authentic Learning, Technology Uses in Education, Cooperation
Blau, Ina; Weiser, Orli; Eshet-Alkalai, Yoram – Research in Learning Technology, 2017
This controlled experiment examined how academic achievement and cognitive, emotional and social aspects of perceived learning are affected by the level of medium naturalness (face-to-face, one-way and two-way videoconferencing) and by learners' personality traits (extroversion-introversion and emotional stability-neuroticism). The Media…
Descriptors: Foreign Countries, Academic Achievement, Cognitive Processes, Emotional Response
Rohwer, Anke; Motaze, Nkengafac Villyen; Rehfuess, Eva; Young, Taryn – Campbell Collaboration, 2017
E-learning is a useful strategy to increase Evidence-based health care (EBHC) knowledge and skills, and when combined with face-to-face learning, to increase EBHC attitude and behaviour. EBHC is decision-making for health care, informed by the best research evidence. Doctors, nurses and allied health professionals need to have the necessary…
Descriptors: Electronic Learning, Educational Technology, Technology Uses in Education, Evidence Based Practice
Kiewik, M.; VanDerNagel, J. E.?L.; Kemna, L. E.?M.; Engels, R. C.?M.?E.; DeJong, C. A.?J. – Journal of Intellectual Disability Research, 2016
Background: Students without intellectual disability (ID) start experimenting with tobacco and alcohol between 12 and 15?years of age. However, data for 12- to 15-year old students with ID are unavailable. Prevention programs, like "prepared on time" (based on the attitude-social influence-efficacy model), are successful, but their…
Descriptors: Smoking, Drinking, Early Adolescents, Adolescents
Heffernan, Neil T.; Ostrow, Korinn S.; Kelly, Kim; Selent, Douglas; Van Inwegen, Eric G.; Xiong, Xiaolu; Williams, Joseph Jay – International Journal of Artificial Intelligence in Education, 2016
Due to substantial scientific and practical progress, learning technologies can effectively adapt to the characteristics and needs of students. This article considers how learning technologies can adapt over time by crowdsourcing contributions from teachers and students--explanations, feedback, and other pedagogical interactions. Considering the…
Descriptors: Artificial Intelligence, Educational Technology, Student Needs, Electronic Publishing
Heffernan, Neil T.; Ostrow, Korinn S.; Kelly, Kim; Selent, Douglas; Van Inwegen, Eric G.; Xiong, Xiaolu; Williams, Joseph Jay – Grantee Submission, 2016
Due to substantial scientific and practical progress, learning technologies can effectively adapt to the characteristics and needs of students. This article considers how learning technologies can adapt over time by crowdsourcing contributions from teachers and students -- explanations, feedback, and other pedagogical interactions. Considering the…
Descriptors: Artificial Intelligence, Educational Technology, Student Needs, Electronic Publishing
Terrazas-Arellanes, Fatima E.; Strycker, Lisa A.; Walden, Emily D.; Gallard, Alejandro – Journal of Computers in Mathematics and Science Teaching, 2017
Inquiry-based learning methods, coupled with advanced technology, hold promise for closing the science literacy gap for English learners (ELs) and students with learning difficulties (SWLDs). Project ESCOLAR (Etext Supports for Collaborative Online Learning and Academic Reading) created collaborative online learning units for middle school science…
Descriptors: Electronic Learning, Online Courses, Educational Technology, Active Learning