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Yun Long; Haifeng Luo; Yu Zhang – npj Science of Learning, 2024
This study explores the use of Large Language Models (LLMs), specifically GPT-4, in analysing classroom dialogue--a key task for teaching diagnosis and quality improvement. Traditional qualitative methods are both knowledge- and labour-intensive. This research investigates the potential of LLMs to streamline and enhance this process. Using…
Descriptors: Classroom Communication, Computational Linguistics, Chinese, Mathematics Instruction
Carmen Durham; Loren Jones – Educational Technology & Society, 2024
Technology continually changes day-to-day interactions, and emergent bilingual learners often multitask, using several digital tools, at times simultaneously, to communicate and learn. Students may text, post on social media, and listen to music as they complete their work. Studies have examined the affordances of technology for language learning,…
Descriptors: Bilingual Students, Time Management, Executive Function, Cooperative Learning
Bosch, Nigel – Journal of Educational Data Mining, 2021
Automatic machine learning (AutoML) methods automate the time-consuming, feature-engineering process so that researchers produce accurate student models more quickly and easily. In this paper, we compare two AutoML feature engineering methods in the context of the National Assessment of Educational Progress (NAEP) data mining competition. The…
Descriptors: Accuracy, Learning Analytics, Models, National Competency Tests
Louis Alexiz C. Urbina – Online Submission, 2025
This research investigated how collaborative e-learning strategies affected the understanding of DNA Replication among the 9th-grade Biology CC class. The study involved 24 diverse students (ages 15-17), including regular education students, English Language Learners (ELLs), and students with IEPs selected through proportional stratified random…
Descriptors: Cooperative Learning, Science Instruction, Teaching Methods, Outcomes of Education
Charmaraman, Linda; Delcourt, Catherine Grevet; Najera, Cynthia Serrano; Vargas, Emily; Gramajo, Alyssa; Richer, Amanda M.; Adachi-Mejia, Anna M. – Afterschool Matters, 2021
Early adolescents often hear messages like "Don't spend too much time on your phone!" Yet little is known about how middle school youth regulate their smartphone usage. To help fill that gap, the authors held a week-long summer workshop to explore early adolescents' perspectives on positive and healthy social media usage. A…
Descriptors: Photography, Social Media, Health Behavior, Middle School Students
Al-Furaydi, Ahmed Ajab – English Language Teaching, 2013
This study will determine their readiness level for the e-learning in several aspects such as attitude toward e-learning, and computer literacy also this study attempt to investigate the main the barriers that EFL teachers have to overcome while incorporating e-learning into their teaching. The theory upon which the study was technology acceptance…
Descriptors: Foreign Countries, English (Second Language), Second Language Instruction, Second Language Learning