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Yikai Lu; Lingbo Tong; Ying Cheng – Journal of Educational Data Mining, 2024
Knowledge tracing aims to model and predict students' knowledge states during learning activities. Traditional methods like Bayesian Knowledge Tracing (BKT) and logistic regression have limitations in granularity and performance, while deep knowledge tracing (DKT) models often suffer from lacking transparency. This paper proposes a…
Descriptors: Models, Intelligent Tutoring Systems, Prediction, Knowledge Level
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Narjes Rohani; Behnam Rohani; Areti Manataki – Journal of Educational Data Mining, 2024
The prediction of student performance and the analysis of students' learning behaviour play an important role in enhancing online courses. By analysing a massive amount of clickstream data that captures student behaviour, educators can gain valuable insights into the factors that influence students' academic outcomes and identify areas of…
Descriptors: Mathematics Education, Models, Prediction, Knowledge Level
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Mohamad Reza Farangi; Mohamad Khojastemehr – Journal of Academic Ethics, 2024
The present study used quantitative and qualitative measures to examine Iranian applied linguists' (mis-) conceptions of ethical issues in research. For this purpose, one hundred and twelve applied linguists completed a research ethics questionnaire constructed and validated by the researchers. In the follow-up qualitative phase, 15 applied…
Descriptors: Ethics, Applied Linguistics, Questionnaires, Data Collection
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Xiaolu Liu; Jingwen Liu; Rachel Gurvitch; Yonggi Son – AERA Online Paper Repository, 2024
This study aimed to examine pre-service physical education teachers' (PPETs) subjective theories of assessment as they formed prior to the professional training of assessment during PETE. Using a phenomenological approach, 11 PPETs were interviewed. Data were analyzed in Nvivo 12. Findings revealed that (a) PPETs understood assessment as data…
Descriptors: Preservice Teachers, Physical Education Teachers, Student Attitudes, Student Evaluation
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Hirsch, Shanna E.; Griffith, Catherine A.; Kelley, Mya H.; Carlson, Alex; McKown, Georgia – Teacher Education and Special Education, 2023
To date, research on mixed-reality simulation (MRS) has focused on various skills including applied behavior analysis, but studies have not evaluated the role of preservice teachers' perceived knowledge, confidence, usefulness, or actual practice related to data collection. To address this gap, we conducted two separate MRS studies, one for…
Descriptors: Preservice Teachers, Knowledge Level, Skill Development, Computer Simulation
Region 11 Comprehensive Center, 2023
When a school district in North Dakota began having hard conversations about its struggling status, a simple, yet crucial, contributor to academic success became abundantly clear: student attendance. That conversation laid the groundwork for a districtwide project, enacted in partnership with the Region 11 Comprehensive Center (R11CC), North…
Descriptors: Rural Schools, Attendance, American Indian Students, At Risk Students
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Ayhan Duygulu; María Angeles Navarro Martinez; Juan Francisco Blesa Simarro; Alina Dumitrascu; Ana Rosa Gonzalez Martinez – International Education Studies, 2025
This study focuses on describing data based school management processes in Türkiye, Spain and Romania. The study group consists of 49 participants. Maximal variation and stratified sampling were applied. For internal trustworthiness, respondent validation, data triangulation and cross check were utilized. For transferability, 'expert opinions' and…
Descriptors: Foreign Countries, Administrators, Competence, Data Collection
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Owan, Valentine J.; Obla, Moses E.; Asuquo, Michael E.; Owan, Mercy V.; Okenjom, Godian P.; Undie, Stephen B.; Ogar, Joseph O.; Udeh, Kelechi V. – Journal of Pedagogical Research, 2023
Previous research has extensively analysed teachers' and students' Facebook use for instructional engagement, writing, research dissemination and e-learning. However, Facebook as a data collection mechanism for research has scarcely been the subject of previous studies. The current study addressed these gaps by analysing students' awareness,…
Descriptors: Student Attitudes, Social Media, Student Research, Data Collection
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Thomas, Karmella T.; Friedman, Sarah A.; Larson, Madalyn J.; Jorgensen, Troy C.; Sharma, Sneha; Smith, Amie; Lavi, Mordechai S. – Health Education Research, 2023
Project Extension for Community Healthcare Outcomes (ECHO) Nevada applied the ECHO virtual hub-and-spoke telementoring model over nine 6-week cohorts (between November 2019 and November 2021) supporting community health workers (CHWs) who advise clients with diabetes or pre-diabetes. This study describes the program implementation, including…
Descriptors: Community Health Services, Health Personnel, Diabetes, Health Education
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Schachter, Rachel E.; Yeomans-Maldonado, Gloria; Piasta, Shayne B. – Journal of Literacy Research, 2023
Despite a growing focus on access to and use of emergent literacy assessment in early childhood, little is known about early childhood teachers' data practices and their associations with children's emergent literacy skills. A questionnaire was used to confirm and elaborate findings from prior qualitative work (Schachter & Piasta, 2022)…
Descriptors: Early Childhood Education, Early Childhood Teachers, Emergent Literacy, Data Collection
Killion, Joellen; Sommers, William A.; Delehant, Ann – Solution Tree, 2022
Collaborative staff development in education is the vehicle to student success, and research shows that the closer professional learning is to daily practice, the more meaningful and impactful it will be. Written with deep respect for the work educators do in their classrooms each day, this practical resource illustrates the importance of…
Descriptors: Professional Development, Workplace Learning, Cooperation, Cooperative Learning
Office of Educational Technology, US Department of Education, 2024
This Playbook aims to assist school districts and school leaders as they develop or revise their policies to guide the presence and use of personal devices in schools. It outlines a process by which school district and school leaders can engage students, educators, and parents as partners in the development of school district or school-based…
Descriptors: School Policy, Board of Education Policy, Ownership, Handheld Devices
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Haara, Frode Olav – European Journal of Science and Mathematics Education, 2022
This article reports on how a pedagogical entrepreneurship approach combined with fundamental elements of mathematical modelling may be used to strengthen students' development of mathematical literacy in upper primary school. This is done first through a review of the relationship between pedagogical entrepreneurship in mathematics, mathematical…
Descriptors: Mathematical Models, Entrepreneurship, Mathematics Instruction, Knowledge Level
Office of Educational Technology, US Department of Education, 2025
As outlined in the 2024 National Educational Technology Plan, digital health, safety, and citizenship skills reflect the full set of knowledge and habits students need to use technology appropriately, responsibly, and safely. For schools and districts, creating the conditions for those skills to develop includes policies regulating the use of…
Descriptors: Computer Use, Technology Uses in Education, Safety, Student Responsibility
Atcha, Haroon – Association for Institutional Research, 2022
Institutional researchers are often tasked with assessing why college-wide initiatives succeed or fail. This can be a difficult task: researchers need to discriminate between multiple feasible explanations, work with limited data, and produce compelling narratives. Process tracing is a qualitative methodology that enables researchers to make valid…
Descriptors: Researchers, Higher Education, Educational Research, Case Studies