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Sarah A. Bush; Rick Rudd; Curt R. Friedel; Thomas Archibald; Kerry J. Redican – Journal of Human Sciences & Extension, 2023
Youth have the capacity to drive positive change in their communities through active and engaged citizenship (AEC). Teen leadership programs provide youth with opportunities to develop the skills necessary to participate as partners in community problem-solving efforts. Situated in relational developmental systems metatheory, this study examined…
Descriptors: Citizenship Responsibility, Citizen Participation, Change Agents, Social Action
Çebi, Ayça; Güyer, Tolga – Education and Information Technologies, 2020
In this study, students' interactions with different learning activities are examined and the relation among learning performance with different interaction patterns, learning performance, self-regulated learning (SRL) strategies and motivation is presented. Learning materials including different kinds of activities are prepared and presented to…
Descriptors: Interaction, Behavior Patterns, Learning Analytics, Electronic Learning
Woods, Adrienne D.; Ahmed, Sammy F.; Katz, Benjamin D.; Morrison, Frederick J. – Journal of Learning Disabilities, 2020
We explored whether and how cognitive measures of executive function (EF) can be used to help classify academic performance in Kindergarten and first grade using nonparametric cluster analysis. We found that EF measures were useful in classifying low-reading performance in both grades, but mathematics performance could be grouped into low,…
Descriptors: Executive Function, Track System (Education), Cognitive Measurement, Kindergarten
Beena Joseph; Sajimon Abraham – Knowledge Management & E-Learning, 2023
Currently, the majority of e-learning lessons created and disseminated advocate a "one-size-fits-all" teaching philosophy. The e-learning environment, however, includes slow learners in a noticeable way, just like in traditional classroom settings. Learning analytics of educational data from a learning management system (LMS) have been…
Descriptors: Electronic Learning, Learning Management Systems, Slow Learners, Educational Environment
Demes, Kyle W.; Murphy, Gail C.; Burt, Helen M. – Journal of Research Administration, 2019
Over the last decade, a wealth of empirical evidence has accumulated describing the merits of team-based, collaborative, and interdisciplinary research, including: increased productivity among researchers, greater citation impact, increased multi-sector engagement, and the generation of novel solutions to grand challenges. Funding agencies have…
Descriptors: Educational Research, Foreign Countries, Partnerships in Education, Interdisciplinary Approach
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
Curran, Michaela; Bloom, Quinn; Brint, Steven – Minerva: A Review of Science, Learning and Policy, 2020
For U.S. research universities, cluster hiring has become a popular means to add faculty members in university-defined priority fields. The expectation of advocates is that these faculty members will collaborate on high-impact research. Utilizing a national sample of 168 cluster-hire faculty members from eight U.S. research universities, we find…
Descriptors: Teacher Selection, Cluster Grouping, College Faculty, Researchers
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
Howlin, Colm P.; Dziuban, Charles D. – International Educational Data Mining Society, 2019
Clustering of educational data allows similar students to be grouped, in either crisp or fuzzy sets, based on their similarities. Standard approaches are well suited to identifying common student behaviors; however, by design, they put much less emphasis on less common behaviors or outliers. The approach presented in this paper employs fuzzing…
Descriptors: Data Collection, Student Behavior, Learning Strategies, Feedback (Response)
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
Karagiannopoulou, Evangelia; Milienos, Fotios S.; Kamtsios, Spiridon; Rentzios, Christos – Educational Psychology, 2020
The study aims at investigating students' learning/defence profiles. It also explores students' profiles during different years of study. Participants comprised of 425 undergraduates. They completed the 'Approaches to Study and Skills Inventory' and the 'Defense Style Questionnaire'. The students' academic achievement was measured through grade…
Descriptors: Cognitive Style, Profiles, Measures (Individuals), Study Habits
Ashley Haigler – ProQuest LLC, 2021
The results of an industry research survey showed, understanding Dissertation Research categories has not been the focused on many researchers and institutions. This research expands on machine learning methodologies using two similar datasets to answer these three questions: 1. Is there a way to track the trends of Pace University's Doctor of…
Descriptors: Artificial Intelligence, Content Analysis, Cluster Grouping, Classification
Šaric-Grgic, Ines; Grubišic, Ani; Šeric, Ljiljana; Robinson, Timothy J. – International Journal of Distance Education Technologies, 2020
The idea of clustering students according to their online learning behavior has the potential of providing more adaptive scaffolding by the intelligent tutoring system itself or by a human teacher. With the aim of identifying student groups who would benefit from the same intervention in AC-ware Tutor, this research examined online learning…
Descriptors: Learning Analytics, Intelligent Tutoring Systems, Grouping (Instructional Purposes), Undergraduate Students
Li, Tiffany Wenting; Paquette, Luc – International Educational Data Mining Society, 2020
Spatial visualization skills are essential and fundamental to studying STEM subjects, and sketching is an effective way to practice those skills. One significant challenge of supporting practice using sketching questions is the vast number of possible mistakes, making it time-consuming for instructors to provide customized and actionable feedback…
Descriptors: Error Patterns, Cluster Grouping, Visualization, Spatial Ability
Wang, Lin; Qian, Jiahe; Lee, Yi-Hsuan – ETS Research Report Series, 2018
Educational assessment data are often collected from a set of test centers across various geographic regions, and therefore the data samples contain clusters. Such cluster-based data may result in clustering effects in variance estimation. However, in many grouped jackknife variance estimation applications, jackknife groups are often formed by a…
Descriptors: Item Response Theory, Scaling, Equated Scores, Cluster Grouping

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