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Download full textAnca Muresan; Mihaela Cardei; Ionut Cardei – International Educational Data Mining Society, 2025
Early identification of student success is crucial for enabling timely interventions, reducing dropout rates, and promoting on-time graduation. In educational settings, AI-powered systems have become essential for predicting student performance due to their advanced analytical capabilities. However, effectively leveraging diverse student data to…
Descriptors: Artificial Intelligence, At Risk Students, Learning Analytics, Technology Uses in Education
Direct linkCunningham, Elizabeth Petit; Seashore, Kimberly H.; Eaton, Katherine E. – PRIMUS, 2022
Graphs about Us (GaU) is an activity for building classroom community within mathematics classrooms. Through the creation and analysis of graphical representations of data about the students' lives in and out of school, this activity aims to allow each student to feel seen and validated in the class, create shared knowledge of students'…
Descriptors: Graphs, Mathematics Instruction, Teaching Methods, Undergraduate Students
Bhat, Zahoor Ahmad; Khan, Mahmood Ahmad; Rashid, Rukaya – Online Submission, 2022
The study attempts to know the extent of enrolment, and retention rate of tribal students at upper primary stage and provide a comparative picture of tribal with respect to gender and educational zones of Ganderbal district. Descriptive survey has been used in present study. Using Information Blank, the primary information about student enrolment…
Descriptors: Enrollment Trends, Tribes, Academic Persistence, School Holding Power
Phage, Itumeleng B.; Lemmer, Miriam; Hitge, Mariette – African Journal of Research in Mathematics, Science and Technology Education, 2017
Students' graph comprehension may be affected by the background of the students who are the readers or interpreters of the graph, their knowledge of the context in which the graph is set, and the inferential processes required by the graph operation. This research study investigated these aspects of graph comprehension for 152 first year…
Descriptors: Foreign Countries, Graphs, Comprehension, Cognitive Processes
Advance CTE: State Leaders Connecting Learning to Work, 2020
The Strengthening Career and Technical Education for the 21st Century Act (Perkins V) pushes states to improve the public accessibility of Career Technical Education (CTE) data. According to the law, state agencies, as well as local recipients, must share data on the performance of all CTE students, and subgroups of learners, and make this…
Descriptors: Vocational Education, Federal Legislation, Educational Legislation, Data Collection
O'Dell, Jenna R. – ProQuest LLC, 2017
The goal of this study was to document the characteristics of students' dispositions towards mathematics when they engaged in the exploration of parts of unsolved problems: Graceful Tree Conjecture and Collatz Conjecture. Ten students, Grades 4 and 5, from an after-school program in the Midwest participated in the study. I focused on the…
Descriptors: Problem Solving, Mathematics Instruction, Elementary School Students, Elementary School Mathematics
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
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
