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Direct linkKohei Nakamura; Manabu Ishihara; Izumi Horikoshi; Hiroaki Ogata – Smart Learning Environments, 2024
Expectations of big data across various fields, including education, are increasing. However, uncovering valuable insights from big data is like locating a needle in a haystack, and it is difficult for teachers to use educational big data on their own. This study aimed to understand changes in student participation rates during classes and…
Descriptors: Foreign Countries, Junior High School Students, Junior High School Teachers, Public Schools
Xue, Xiaorui; Xie, Shiwei; Mishra, Shitanshu; Wright, Anna M.; Biswas, Gautam; Levin, Daniel T. – Educational Technology Research and Development, 2022
Recent advances in eye-tracking technology afford the possibility to collect rich data on attentional focus in a wide variety of settings outside the lab. However, apart from anecdotal reports, it is not clear how to maximize the validity of these data and prevent data loss from tracking failures. Particularly helpful in developing these…
Descriptors: Case Studies, Eye Movements, Comparative Analysis, Human Posture
Download full textMcGrath Kato, Mimi; Flannery, Brigid; Triplett, Danielle; Saeturn, Sun – Grantee Submission, 2018
Freshman year has been identified as a very important year in high school. It has been shown more than any other year to determine whether a student will complete high school or drop out. Schools who examine grade-level data on a regular basis often find that freshmen students receive the most office discipline referrals and most failing grades,…
Descriptors: Grade 9, High School Freshmen, Student Needs, Prevention
Holm, Jennifer, Ed.; Megroureche, Charlotte, Ed. – Canadian Mathematics Education Study Group, 2022
With COVID-19 continuing to make meeting face-to-face impossible, the Canadian Mathematics Education Study Group/Groupe Canadien d'Étude en Didactique des Mathématiques (CMESG/GCEDM) executive decided that, for the first time, the CMESG/GCEDM meeting would be held virtually. By necessity, the program had to be much compressed with no topic…
Descriptors: Mathematics Education, Foreign Countries, COVID-19, Pandemics
Wang, Yutao; Heffernan, Neil T.; Heffernan, Cristina – Grantee Submission, 2015
The well-studied Baker et al., affect detectors on boredom, frustration, confusion and engagement concentration with ASSISTments dataset were used to predict state tests scores, college enrollment, and even whether a student majored in a STEM field. In this paper, we present three attempts to improve upon current affect detectors. The first…
Descriptors: Majors (Students), Affective Behavior, Psychological Patterns, Predictor Variables
Holm, Jennifer, Ed.; Mathieu-Soucy, Sarah, Ed. – Canadian Mathematics Education Study Group, 2020
The 43rd meeting of Canadian Mathematics Education Study Group (CMESG) was held at St. Francis Xavier University in Antigonish, Nova Scotia (May 31-June 4, 2019). This meeting marked only the third time CMESG/GCEDM (Groupe Canadien d'Étude en Didactique des Mathématiques) had been held in Nova Scotia (1996, 2003), and the first time it had been…
Descriptors: Mathematics Education, Problem Based Learning, Teaching Methods, Postsecondary Education
