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Faisal Channa; Muhterem Dindar; Andy Nguyen; Rohit Mishra – Scandinavian Journal of Educational Research, 2024
This study explored the sequential interplay between challenges and regulatory processes in high- and low-performing collaborative groups. 66 students from a Finnish higher education institution participated in a collaborative task in groups of three. Approximately 34 h of video data were coded. The sequential analysis revealed that both groups…
Descriptors: Cooperative Learning, High Achievement, Low Achievement, Foreign Countries
Sessions, Laird; Kang, Mi Ok; Womack, Sue – TechTrends: Linking Research and Practice to Improve Learning, 2016
In this study the authors investigated the effects of integrating iPad applications into writing instruction for fifth grade students. By comparing the writing of students taught with paper and pencil methods with that of students utilizing the iPad writing applications, two research questions guided the study: (1) Are there differences in student…
Descriptors: Writing Instruction, Handheld Devices, Technology Integration, Elementary School Students
Pakhira, Deblina – ProQuest LLC, 2012
Exposure to organic chemistry concepts in the laboratory can positively affect student performance, learning new chemistry concepts and building motivation towards learning chemistry in the lecture. In this study, quantitative methods were employed to assess differences in student performance, learning, and motivation in an organic chemistry…
Descriptors: Organic Chemistry, College Science, Science Instruction, Lecture Method
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection