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Amanda Preston; Paul Szikszai; Valdeep Saini; Ryan Brightman – Journal of Applied Behavior Analysis, 2024
When applied to functional analysis results, structured visual inspection criteria have resulted in improvements in the levels of agreement between raters as well as earlier identification of the function of challenging behavior. However, multistep criteria can be difficult to apply in real time, which could be a barrier to widespread adoption in…
Descriptors: Functional Behavioral Assessment, Spreadsheets, Decision Support Systems, Behavior Modification
Ujué Agudo; Karlos G. Liberal; Miren Arrese; Helena Matute – Cognitive Research: Principles and Implications, 2024
Automated decision-making is becoming increasingly common in the public sector. As a result, political institutions recommend the presence of humans in these decision-making processes as a safeguard against potentially erroneous or biased algorithmic decisions. However, the scientific literature on human-in-the-loop performance is not conclusive…
Descriptors: Foreign Countries, Spanish Speaking, Artificial Intelligence, Court Litigation
Moran P. Lee; Abubakir Siedahmed; Neil T. Heffernan – Grantee Submission, 2024
Contextual multi-armed bandits have previously been used to personalize student support messages given to learners by supplying a model with relevant context about the user, problem, and available student supports. In this work, we propose using careful feature selection with relevant domain knowledge to improve the quality of student support…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Reinforcement
Zachary Bleemer – Center for Studies in Higher Education, 2024
Average-wage-by-major statistics have become widely available to students interested in the economic ramifications of their college major choice. However, earning a major with higher average wages does not necessarily lead individual students to higher-paying careers. This essay combines literature review with novel analysis of longitudinal…
Descriptors: College Students, Majors (Students), Course Selection (Students), Career Choice
Dylan M. Platt; Carrie L. Blout Zawatsky; Kurt D. Christensen; Robert C. Green; Catherine Hajek; Madison R. Hickingbotham; Allison M. Hutchinson; Jessica L. LeBlanc; Emilie S. Zoltick; Leila Jamal – Health Education & Behavior, 2025
Elective genetic testing (EGT) programs that provide pharmacogenomic information to guide medication management and screen for medically actionable disease predispositions are emerging in a number of health systems. Primary care providers (PCPs) are at the forefront of test initiation, patient education, and management of EGT results. However,…
Descriptors: Genetics, Testing, Primary Health Care, Attitudes
Meng Qu – Education and Information Technologies, 2024
This paper introduces a Patron Counting and Analysis (PCA) system that leverages Wi-Fi-connection data to monitor space utilization and analyze visitor patterns in academic libraries. The PCA system offers real-time crowding information to the public and a comprehensive visitor analysis dashboard for library administrators. The system's…
Descriptors: Academic Libraries, Users (Information), Use Studies, Space Utilization
Jingyuan Zhang; Yan Ping Xin – Insights into Learning Disabilities, 2024
This article reviewed published research on implementing the Response to Intervention (RTI)/Multi-tiered Systems of Support (MTSS) educational framework in mathematics at public schools. Today, all 50 states have adopted different forms of the tiered educational system, and the focus of these support systems is switching from model building to…
Descriptors: Response to Intervention, Multi Tiered Systems of Support, Mathematics Education, Public Schools
Yung-Hsiang Hu – Educational Technology & Society, 2024
Ethical decision-making is challenging for most students. Values clarification exercises (VCEs) can help reduce decisional conflicts and feelings of regret. Scholars have suggested Ethical decision-making is challenging for most students. Values clarification exercises (VCEs) can help reduce decisional conflicts and feelings of regret. Scholars…
Descriptors: Foreign Countries, Undergraduate Students, Artificial Intelligence, Business Administration Education
Jian-Wei Tzeng; Nen-Fu Huang; Yi-Hsien Chen; Ting-Wei Huang; Yu-Sheng Su – Educational Technology & Society, 2024
Massive open online courses (MOOCs; online courses delivered over the Internet) enable distance learning without time and place constraints. MOOCs are popular; however, active participation level among students who take MOOCs is generally lower than that among students who take in-person courses. Students who take MOOCs often lack guidance, and…
Descriptors: MOOCs, Artificial Intelligence, Electronic Learning, Student Participation
Dina Fitria Murad; Meta Amalya Dewi; Arbaiah Inn; Silvia Ayunda Murad; Noor Udin; Taufik Darwis – Journal of Educators Online, 2025
This study aims to produce a more personalized recommendation system for online learning using multicriteria in collaborative filtering and data from the Binus Online Learning repository as a knowledge base. The study uses forecasting (regression) and consists of three stages: (1) collecting data on the results of the learning process; (2) adding…
Descriptors: Electronic Learning, Data Collection, Context Effect, Learning Processes
Odiel Estrada-Molina; Juanjo Mena; Alexander López-Padrón – International Review of Research in Open and Distributed Learning, 2024
No records of systematic reviews focused on deep learning in open learning have been found, although there has been some focus on other areas of machine learning. Through a systematic review, this study aimed to determine the trends, applied computational techniques, and areas of educational use of deep learning in open learning. The PRISMA…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Open Education, Educational Trends
Suchitporn Lersilp; Kewalin Panyo; Supawadee Putthinoi; Hsiu Yun Hsu; Li-Chieh Kuo; Napalai Chaimaha – Journal of Occupational Therapy, Schools & Early Intervention, 2024
The decision support system (DSS) provides systematic data for improving effective decision-making by school-based occupational therapists (SBOTs) in healthcare services. The purposes of this study were to develop the DSS and investigate its usability in providing the occupational therapy (OT) service for students with disabilities during…
Descriptors: Students with Disabilities, Occupational Therapy, Decision Support Systems, School Health Services