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Göktepe Körpeoglu, Seda; Göktepe Yildiz, Sevda – Education and Information Technologies, 2023
Examining students' attitudes towards STEM (science, technology, engineering, and mathematics) fields starting from middle school level is important in their career choices and future planning. However, there is a need to investigate which variables affect students' attitudes towards STEM. Here, we aimed to estimate middle school students'…
Descriptors: Comparative Analysis, Algorithms, Data Collection, Student Attitudes
Lin, Chun-Wen – Education, 2018
Some of the key issues in pedagogy are the way of students' peer learning, collaboration, and team work at school. Friendship quality is essential for academic achievement by peer learning and team work. In line with that, the aim of the present study is to examine the associations between variables that are positive perception, deliberative…
Descriptors: Undergraduate Students, Structural Equation Models, Friendship, Positive Attitudes
Geiser, Kristin; Fehrer, Kendra; Pyne, Jaymes; Gerstein, Amy; Harrison, Vicki; Joshi, Shashank – John W. Gardner Center for Youth and Their Communities, 2019
According to national indicators of adolescent health and well-being, the most significant health issues young people face are related to mental health. In San Mateo County, a recent report on adolescent health frames the prevalence of mental health needs among public school students as "staggering." Both locally and nationally, schools…
Descriptors: Adolescents, Child Health, Well Being, Mental Health
Geiser, Kristin; Fehrer, Kendra; Pyne, Jaymes; Gerstein, Amy; Harrison, Vicki; Joshi, Shashank – John W. Gardner Center for Youth and Their Communities, 2019
According to national indicators of adolescent health and well-being, mental health is one of the most significant health issues young people face. Since mental health is linked to other aspects of health and well-being, undiagnosed and untreated mental health conditions can negatively impact a young person's social-emotional health, academic…
Descriptors: Adolescents, Child Health, Well Being, Mental Health
Wright, Mary C.; McKay, Timothy; Hershock, Chad; Miller, Kate; Tritz, Jared – Change: The Magazine of Higher Learning, 2014
Learning Analytics (LA) has been identified as one of the top technology trends in higher education today (Johnson et al., 2013). LA is based on the idea that datasets generated through normal administrative, teaching, or learning activities--such as registrar data or interactions with learning management systems--can be analyzed to enhance…
Descriptors: STEM Education, Introductory Courses, Physics, Technology Uses in Education
Conner, Laura D. Carsten; Danielson, Jennifer – International Journal of Science Education, 2016
Gender-matched role models are often proposed as a mechanism to increase identification with science among girls, with the ultimate aim of broadening participation in science. While there is a great deal of evidence suggesting that role models can be effective, there is mixed support in the literature for the importance of gender matching. We used…
Descriptors: Science Education, Scientists, Role Models, Females
Nichols, Timothy; Ailts, Jacob; Chang, Kuo-Liang – Honors in Practice, 2016
This study gathered, analyzed, and compared perspectives of students who were honors-eligible but never began the program, students who began in honors and discontinued their enrollment, and those who were persisting in honors. Broadly speaking (and not surprisingly), the responses of students persisting in honors reflected the most positive…
Descriptors: Higher Education, College Students, School Holding Power, Honors Curriculum
John W. Gardner Center for Youth and Their Communities, 2014
Educators nationwide confront a troubling phenomenon: Increasingly, students leave high school unready for college, as evidenced by high rates of placement into remedial courses and low rates of college completion. Many students also lack either the attitudes or skills essential to succeed in a postsecondary setting, or knowledge of how to apply…
Descriptors: College Readiness, Educational Indicators, Predictor Variables, College Bound Students
Yildirim, Ibrahim; Genctanirim, Dilek; Yalcin, Ilhan; Baydan, Yaprak – Hacettepe University Journal of Education, 2008
This study examined likelihood of high school students' gender, levels of academic achievement, perfectionism and perceived social support in predicting their degree of test anxiety. Participants were 505 students from high schools in the Ankara metropolitan area. The Test Anxiety Inventory, Multidimensional Perfectionism Scale and Perceived…
Descriptors: Academic Achievement, Measures (Individuals), Metropolitan Areas, Data Analysis
Sahin, Ismail; Shelley, Mack – Educational Technology & Society, 2008
In the current study, the Distance Education Student Satisfaction Model, estimated as a structural equation model, is proposed to understand better what predicts student satisfaction from online learning environments. In the present study, the following variables are employed based on the Technology Acceptance Model (TAM) (Davis, Bagozzi, &…
Descriptors: Undergraduate Students, Student Attitudes, Distance Education, Online Courses
Boyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals
Mangum, Wiley M.; Baugher, Dan; Winch, Janice K.; Varanelli, Andrew – Journal of Education for Business, 2005
In this study, the authors identified variables that predict college student dropout from a business school. In the 1st phase of the study, they collected information from students (N = 403) in the 2nd semester of their freshman year. Then they collected dropout data from the same students 4 semesters after the first phase. The authors used…
Descriptors: Longitudinal Studies, College Freshmen, Dropouts, Business Education
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

Eraut, Michael; Hoyles, C. – Journal of Computer Assisted Learning, 1989
Discussion of group processes in computer assisted instruction highlights a research program being developed in the United Kingdom to explore computer groupwork with 9-to 12-year-olds. Variables to be considered in the research strategy are described, data collection methods are explained, and student attitudes and teacher roles are discussed. (24…
Descriptors: Classroom Observation Techniques, Computer Assisted Instruction, Data Collection, Elementary Education
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers