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Jina Kim – Society for Research on Educational Effectiveness, 2024
Background: Despite historical efforts (Ellwood & Kane, 2000; Daun-Barnett, 2013; Perna, 2006; Kane, 1999), persisting inequities in higher education access underscore the need for innovative research approaches. Previous studies utilizing geospatial approaches often overlook critical dimensions like college readiness and financial aid while…
Descriptors: Access to Education, Equal Education, Higher Education, High School Students
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Quy, Tai Le; Roy, Arjun; Friege, Gunnar; Ntoutsi, Eirini – International Educational Data Mining Society, 2021
Traditionally, clustering algorithms focus on partitioning the data into groups of similar instances. The similarity objective, however, is not sufficient in applications where a "fair-representation" of the groups in terms of protected attributes like gender or race, is required for each cluster. Moreover, in many applications, to make…
Descriptors: Cluster Grouping, Artificial Intelligence, Mathematics, Computer Uses in Education
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Tanja Kovacic; Cormac Forkan – Irish Educational Studies, 2024
Young people who are either at risk of disengaging or disengaged from mainstream education in Ireland are often supported by what is termed 'out-of-school' or the 'alternative education' sector. A recent review of out-of-school education provision (Department of Education. 2022. "Review of Out-of-School Educational Provision." Dublin:…
Descriptors: Foreign Countries, Nontraditional Education, Inclusion, Mainstreaming
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Karimov, Ayaz; Saarela, Mirka; Kärkkäinen, Tommi – International Educational Data Mining Society, 2023
Within the last decade, different educational data mining techniques, particularly quantitative methods such as clustering, and regression analysis are widely used to analyze the data from educational games. In this research, we implemented a quantitative data mining technique (clustering) to further investigate students' feedback. Students played…
Descriptors: Student Attitudes, Feedback (Response), Educational Games, Information Retrieval
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Kang, Jina; An, Dongwook; Yan, Lili; Liu, Min – International Educational Data Mining Society, 2019
Collaborative problem-solving (CPS) as a key competency required in the 21st century. There has been an increasing need to understand CPS since it involves not only cognitive but also social processes, and thus its process is difficult to examine. Recent research has highlighted that computer-based learning environments provide an opportunity for…
Descriptors: Cooperative Learning, Problem Solving, Science Education, Educational Games
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Besser, Michael; Leiss, Dominik; Blum, Werner – Teacher Development, 2020
Teacher professional development (TPD) courses can support teachers in building up pedagogical content knowledge (PCK) and in improving the quality of teaching. Therefore, having teachers participate in TPD is of special interest for educational policy. Unfortunately, knowledge about the relation between teachers' PCK and teachers' attendance in…
Descriptors: Professional Development, Pedagogical Content Knowledge, Middle School Teachers, Foreign Countries
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Khayi, Nisrine Ait; Rus, Vasile – International Educational Data Mining Society, 2019
In this paper, we applied a number of clustering algorithms on pretest data collected from 264 high-school students. Students took the pre-test at the beginning of a 5-week experiment in which they interacted with an intelligent tutoring system. The primary goal of this work is to identify clusters of students exhibiting similar knowledge…
Descriptors: High School Students, Cluster Grouping, Prior Learning, Intelligent Tutoring Systems
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Käser, Tanja; Schwartz, Daniel L. – International Educational Data Mining Society, 2019
Open-ended learning environments (OELEs) allow students to freely interact with the content and to discover important principles and concepts of the learning domain on their own. However, only some students possess the necessary skills for efficient and effective exploration. Guidance in the form of targeted interventions or feedback therefore has…
Descriptors: Educational Environment, Interaction, Cluster Grouping, Models
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Liu, Yan – Educational Administration Quarterly, 2020
Purpose: This study is primarily interested in the operational evidence of distributed leadership using large-scale and multicountry data. Specifically, this study investigates (a) how three position-based human units--the principal, the management team, and teachers--could lead nine school leadership functions together and (b) how the country and…
Descriptors: Leadership Styles, Participative Decision Making, Leadership Responsibility, Principals
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Sindhgatta, Renuka; Marvaniya, Smit; Dhamecha, Tejas I.; Sengupta, Bikram – International Educational Data Mining Society, 2017
Question answering forums in online learning environments provide a valuable opportunity to gain insights as to what students are asking. Understanding frequently asked questions and topics on which questions are asked can help instructors in focusing on specific areas in the course content and correct students' confusions or misconceptions. An…
Descriptors: Questioning Techniques, Interviews, Electronic Learning, Online Courses
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Bowles, Terence V. – International Journal of School & Educational Psychology, 2017
Social skills training is a long-standing intervention for adolescents with social anxiety, while self-esteem is often ignored. However, there is little evidence suggesting that those with social anxiety require social skills training or interventions associated with self-esteem. The aim of the research was to investigate whether social skills and…
Descriptors: Intervention, Anxiety, Adolescent Development, Interpersonal Competence
Li, Yaoran; Liu, Ruitao – ACT, Inc., 2015
This Issue Brief summarizes data collected from the ACT Career Club in Whyville, a leading educational virtual world for children ages 8-15, with an emphasis on student behavior within the CareerQuest room. We try to use visitors' behavior to understand the development of adolescents' career interests and understanding about occupations.…
Descriptors: Student Interests, Vocational Interests, Occupational Aspiration, Student Behavior
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Mohebbi, Mina; Mirnasab, Mirmahmoud; Wiener, Judith – School Psychology International, 2016
This study compared parental and school bonding in adolescents in Iran who are perpetrators of bullying, victims of bullying and not-involved in bullying. Secondary school students (N = 240) were selected by cluster random sampling and screening, and categorized as perpetrators of bullying (N = 80), victims of bullying (N = 80) and non-involved (N…
Descriptors: Foreign Countries, Bullying, Victims, Adolescents
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Nielsen, Sara E.; Yezierski, Ellen J. – Chemistry Education Research and Practice, 2016
Academic tracking, placing students in different classes based on past performance, is a common feature of the American secondary school system. A longitudinal study of secondary students' chemistry self-concept scores was conducted, and one feature of the study was the presence of academic tracking. Though academic tracking is one way to group…
Descriptors: Cluster Grouping, Chemistry, Self Concept, Secondary School Students
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Vanwynsberghe, Griet; Vanlaar, Gudrun; Van Damme, Jan; De Fraine, Bieke – School Effectiveness and School Improvement, 2017
Although the importance of primary schools in the long term is of interest in educational effectiveness research, few studies have examined the long-term effects of schools over the past decades. In the present study, long-term effects of primary schools on the educational positions of students 2 and 4 years after starting secondary education are…
Descriptors: Secondary Education, School Effectiveness, Elementary Secondary Education, Followup Studies
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