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Bui, Ngoc Van P. – ProQuest LLC, 2022
This research explores the use of eXplainable Artificial Intelligence (XAI) in Educational Data Mining (EDM) to improve the performance and explainability of artificial intelligence (AI) and machine learning (ML) models predicting at-risk students. Explainable predictions provide students and educators with more insight into at-risk indicators and…
Descriptors: Artificial Intelligence, At Risk Students, Prediction, Data Science
Explore Teachers' Collective Learning through Lesson Study from a Perspective of Networking Theories
Huang, Rongjin; Huang, Xingfeng – North American Chapter of the International Group for the Psychology of Mathematics Education, 2022
Although the effects of Lesson study (LS), a teacher collaborative professional development approach, on teacher professional learning and students learning have been widely documented, the theories for understanding of LS has just emerged as a research field. Interconnected Model of Teacher Professional Growth (IMPG) and Documentational Approach…
Descriptors: Teacher Improvement, Teacher Collaboration, Faculty Development, Communities of Practice
Roh, Kyeong Hah; Parr, Erika David; Eckman, Derek; Sellers, Morgan – North American Chapter of the International Group for the Psychology of Mathematics Education, 2022
The purpose of this paper is to highlight issues related to students' personal inferences that arise when students verbally explain their justification for calculus statements. We conducted clinical interviews with three undergraduate students who had taken first-semester calculus but had not yet been exposed to formal proof writing activities…
Descriptors: Undergraduate Students, Calculus, Mathematics Instruction, Inferences
Kularajan, Sindura Subanemy; Czocher, Jennifer A. – North American Chapter of the International Group for the Psychology of Mathematics Education, 2022
Using data from teaching experiments and theories from quantitative reasoning, we built second-order accounts of students' mathematics with regards to how they conceived rate of change through operating on existing quantities. In this report, we explain three different ways STEM undergraduates structurally conceive rate of change as they…
Descriptors: STEM Education, Mathematics Instruction, Mathematical Models, Thinking Skills
González-Esparza, Lydia Marion; Jin, Hao-Yue; Lu, Chang; Cutumisu, Maria – AERA Online Paper Repository, 2022
Detecting wheel-spinning behaviors of students who interact with an Intelligent Tutoring System (ITS) is important for generating pertinent and effective feedback and developing more enriching learning experiences. This analysis compares decision tree and bagged tree models of student productive persistence (i.e., mastering a skill) using the…
Descriptors: Student Behavior, Intelligent Tutoring Systems, Feedback (Response), Persistence
Eglington, Luke G.; Pavlik, Philip I., Jr. – Grantee Submission, 2022
An important component of many Adaptive Instructional Systems (AIS) is a 'Learner Model' intended to track student learning and predict future performance. Predictions from learner models are frequently used in combination with mastery criterion decision rules to make pedagogical decisions. Important aspects of learner models, such as learning…
Descriptors: Computer Assisted Instruction, Intelligent Tutoring Systems, Learning Processes, Individual Differences
Botarleanu, Robert-Mihai; Dascalu, Mihai; Allen, Laura K.; Crossley, Scott Andrew; McNamara, Danielle S. – Grantee Submission, 2022
Automated scoring of student language is a complex task that requires systems to emulate complex and multi-faceted human evaluation criteria. Summary scoring brings an additional layer of complexity to automated scoring because it involves two texts of differing lengths that must be compared. In this study, we present our approach to automate…
Descriptors: Automation, Scoring, Documentation, Likert Scales
Neal, Jennifer Watling; Neal, Zachary P. – School Psychology, 2022
Understanding educators' networks can inform the field of school psychology by offering insight into how the structure of social relationships supports the implementation of school-based programs. However, the difficulties of collecting and modeling network data remain barriers to using network methods in school psychology. To overcome these…
Descriptors: Data Collection, Visualization, Models, Social Networks
Leckie, George; Prior, Lucy – School Effectiveness and School Improvement, 2022
School accountability systems increasingly hold schools to account for their performances using value-added models purporting to measure the effects of schools on student learning. The most common approach is to fit a linear regression of student current achievement on student prior achievement, where the school effects are the school means of the…
Descriptors: Value Added Models, Accountability, Secondary Schools, Educational Practices
Fischer, Sophie; Göhlich, Michael; Schmitt, Jan – Journal of Pedagogical Research, 2022
Climate adaptation and learning support organizations in dealing with the current and projected consequences of climate change by recognizing challenges as opportunities, ensuring business continuity and increasing their economic efficiency. Beside material resources, climate adaptation requires knowledge, technical expertise, and learning…
Descriptors: Climate, Adjustment (to Environment), Organizational Learning, Corporations
Zhou, You; Sackett, Paul R.; Brothen, Thomas – Applied Measurement in Education, 2022
We sought to replicate prior findings that admissions tests' underprediction of female college performance was driven in part by the omission of Big 5 personality factors from the predictive model, using 5,400 college students. We investigated gender differences in an elaborated model subdividing the Big 5 into ten aspects. We found differences at…
Descriptors: College Students, College Entrance Examinations, Prediction, Females
Vernet, Emily; Sberna, Melanie – Journal of American College Health, 2022
Objective: The purpose of this research study is to examine the use of the Andersen Behavioral Model of Health Services Use in predicting how health impacts the academic performance of college students through predisposing, enabling, and need factors. Participants: Data were collected from 428 college students attending a large university in the…
Descriptors: College Students, Student Characteristics, Access to Health Care, Health Services
Li, Ling; Liu, Yan – Asia Pacific Journal of Education, 2022
Using an integrated school leadership framework, this research intended to investigate 1.whether and to what extent transformational leadership could leverage teacher leadership; 2 the integrated effects of principal transformational leadership and teacher leadership on teacher self-efficacy and student academic performance. This study used a…
Descriptors: Models, Administrators, Transformational Leadership, Teacher Leadership
Mariegaard, Stine; Seidelin, Lars Dupont; Bruun, Jesper – International Journal of Research & Method in Education, 2022
Reviews of literature often summarize research within a given field to provide succinct information about state of the art as well as gaps for future research to address. In educational research, such information includes different positions within a field; for example, theoretical positions underpinning empirical studies. Such theoretical…
Descriptors: Early Childhood Education, Inquiry, Active Learning, Science Education
Nahum, Jacob – Journal of Education and Learning, 2022
The social, economic and technological changes of the 21st century have increased the awareness of teachers and educational researchers of the importance of a relevant and interesting learning environment, collaborative learning, personalization and values in education. However, most of the currently available programs focus on only one of these…
Descriptors: 21st Century Skills, Cooperative Learning, Educational Environment, Models

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