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Direct linkKeunjae Kim; Kyungbin Kwon – Journal of Educational Computing Research, 2024
This study presents an inclusive K-12 AI curriculum for elementary schools, focusing on six design principles to address gender disparities. The curriculum, designed by the researchers and an elementary teacher, uses tangible tools, and emphasizes collaboration in solving daily problems. The MANOVA results revealed initial gender differences in AI…
Descriptors: Artificial Intelligence, Curriculum Development, Inclusion, Elementary Secondary Education
Lee, Youngjin – Journal of Educational Computing Research, 2019
This study investigated whether clustering can identify different groups of students enrolled in a massive open online course (MOOC). This study applied self-organizing map and hierarchical clustering algorithms to the log files of a physics MOOC capturing how students solved weekly homework and quiz problems to identify clusters of students…
Descriptors: Problem Solving, Online Courses, Mass Instruction, Physics
Ezeamuzie, Ndudi O. – Journal of Educational Computing Research, 2023
Most studies suggest that students develop computational thinking (CT) through learning programming. However, when the target of CT is decoupled from programming, emerging evidence challenges the assertion of CT transferability from programming. In this study, CT was operationalized in everyday problem-solving contexts in a learning experiment (n…
Descriptors: Programming, Computer Science Education, Problem Solving, Thinking Skills
Ran, Hua; Kasli, Murat; Secada, Walter G. – Journal of Educational Computing Research, 2021
This meta-analysis extended the current literature regarding the effects of computer technology (CT) on mathematics achievement, with a particular focus on low-performing students. A total of 45 independent effect sizes extracted from 31 empirical studies based on a total of 2,044 low-performing students in K-12 classrooms were included in this…
Descriptors: Intervention, Mathematics Achievement, Low Achievement, Kindergarten
Jang, Eunice Eunhee; Lajoie, Susanne P.; Wagner, Maryam; Xu, Zhenhua; Poitras, Eric; Naismith, Laura – Journal of Educational Computing Research, 2017
Technology-rich learning environments (TREs) provide opportunities for learners to engage in complex interactions involving a multitude of cognitive, metacognitive, and affective states. Understanding learners' distinct learning progressions in TREs demand inquiry approaches that employ well-conceived theoretical accounts of these multiple facets.…
Descriptors: Educational Technology, Technology Uses in Education, Simulation, Patients
Lu, Jiamei; Li, Daqi; Stevens, Carla; Ye, Renmin – Journal of Educational Computing Research, 2016
Using Program for International Student Assessment (PISA) 2012, an international education database, this study analyzed the evaluations of computer use for academic learning by 15-year-old students from seven Edu-systems (unit in PISA) in Eastern Asia. Six variables were identified in association with students' evaluations of computer use…
Descriptors: Foreign Countries, College Students, Computer Attitudes, Computer Uses in Education
