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Download full textChiu, Mei-Shiu – Journal of Educational Data Mining, 2020
This study aims to identify effective affective states and behaviors of middle-school students' online mathematics learning in predicting their choices to study science, technology, engineering, and mathematics (STEM) in higher education based on a "positive-affect-to-success hypothesis." The dataset (591 students and 316,974 actions)…
Descriptors: Gender Differences, Predictor Variables, STEM Education, Course Selection (Students)
Haverback, Heather Rogers – Middle Grades Review, 2020
During COVID-19, almost all schools have been transformed into something unlike what they were before. Teaching that was done in person is now done virtually, with little to no preparation. Middle level teachers may have been confident in how to teach their content in the classroom; however, this confidence may differ when teaching virtually.…
Descriptors: Disease Control, Middle School Teachers, Distance Education, Educational Technology
Seroussi, Dominique-Esther; Sharon, Rakefet – International Education Studies, 2017
As a contribution to the efforts to understand the influence of peer presence on self-regulated learning, this paper studies students' reaction to a project-based activity, the final product of which was a scientific communication to peers. In this activity, "peer lecturing," the students formulate a question on a topic linked to the…
Descriptors: Student Projects, Peer Influence, Teaching Methods, Metacognition
Direct linkWang, 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
DeVoogd, Karen; Lane-Garon, Pamela; Kralowec, Charles A. – Perspectives in Peer Programs, 2016
Seven schools in an economically challenged area of an urban school district in central California implemented mentored peer mediation programs under the guidance of a university-K-12 partnership project, Mediator Mentors. Individual student outcomes for social-cognitive dispositions, perceptions of school climate, conflict strategy choices, and…
Descriptors: Direct Instruction, Conflict Resolution, Social Development, Emotional Development
Chen, Mei-Ling – English Language Teaching, 2014
The purpose of the study was to investigate language learning strategies used by English as a Foreign Language (EFL) learners at different educational levels and explored the influence of age on the use of language learning strategies. A total of 1,023 students participated in the study. Out of the participants, there were 250 primary students…
Descriptors: Age Differences, English (Second Language), Second Language Learning, Learning Strategies
Albiero, Paolo; Matricardi, Giada; Speltri, Daniela; Toso, Diana – Journal of Adolescence, 2009
The present study examined the validity of the Basic Empathy Scale (BES) [Jolliffe, D., & Farrington, D. P. (2006a). Development and validation of the Basic Empathy Scale. "Journal of Adolescence," 29, 589-611; Jolliffe, D., & Farrington, D. P. (2006b). Examining the relationship between low empathy and bullying. "Aggressive…
Descriptors: Prosocial Behavior, Aggression, Factor Structure, Adolescents
Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
Frank, Moti; Barzilai, Abigail – Journal of Technology Education, 2006
Because we live in a society that increasingly depends upon technology, a growing number of voices are calling for the mandatory study of technology by school-aged children worldwide. Technological literacy is the ability to use, manage, assess, and understand technology, and involves the application of knowledge and abilities to real-world…
Descriptors: Teaching Methods, Technological Literacy, Faculty Development, Standards
Service-Learning and Intentionality: Creating and Assessing Cognitive Affective Learning Connections
Hall, Maureen P. – Journal of Higher Education Outreach and Engagement, 2006
This article outlines the design of a new service-learning component central to a graduate course on teaching elementary and middle school writing. The service-learning involves course participants acting as mentors to middle school students as they write personal histories of local African American, Cape Verdean, and Puerto Rican senior citizens.…
Descriptors: Service Learning, Intention, Graduate Students, Mentors
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
