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Sonia Itati Marino – Journal of Education and e-Learning Research, 2025
This article examines the potential of Challenge-Based Learning (CBL) and Evidence-Based Software Engineering (ESBE) as a strategy for higher education, combining quality teaching with the development of professional skills. The article specifically aims to mitigate all-but-thesis syndrome in degree programmes. The methodology comprises three…
Descriptors: Problem Based Learning, Evidence Based Practice, Computer Software, Capstone Experiences
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Yong Zhao – ECNU Review of Education, 2025
Purpose: The purpose is to stimulate imagination of artificial intelligence (AI) and education beyond current schooling. Design/Approach/Methods: The approach this article took is a broad review of literature on learning, teaching, schooling, and technological development and evidence-based reasoning about the possible future of education in the…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Problem Based Learning
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Julie Atwood; Sarah Heiniger; Brittany L. Hott – Journal of Special Education Technology, 2025
Rural educators need access to evidence-based instructional practices and technologies that meet the needs of our communities. Difficulty accessing quality professional development due to geographic isolation, limited access to specialists, cost constraints, staffing shortages, lack of access to resources and technology, and less time to…
Descriptors: Newsletters, Electronic Publishing, Rural Schools, Faculty Development
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Sharvashidze, George; Grdzelidze, Irma; Sikharulidze, David; Gabrichidze, Tinatin – Quality in Higher Education, 2023
Arrival of managerialism, call for accountability, efficiency and effectiveness marked a new era in higher education. With the growing demand for evidence-based and data-driven analysis of higher education institutions' performance from internal and external stakeholders, universities are looking for ways to successfully implement performance…
Descriptors: Evidence Based Practice, Decision Making, Universities, Benchmarking
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TzuHsing Lin; Paul Riccomini – Journal of Special Education Technology, 2025
A primary challenge encountered by students with disabilities in mathematics relates to their inherent limitations in working memory capacities. Memory-strengthening strategies are helpful to students who need to improve mathematics retention. This article discusses enhancing mathematics learning outcomes for students with disabilities in rural…
Descriptors: Students with Disabilities, Inclusion, Rural Schools, Mathematics Education
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Moro, Christian; Mills, Kathy A.; Phelps, Charlotte; Birt, James – International Journal of Educational Technology in Higher Education, 2023
Educational institutions are increasingly investing into digital delivery, acquiring new devices, and employing novel software and services. The rising costs associated with maintenance, in combination with increasing redundancy of older technologies, presents multiple challenges. While lesson content itself may not have changed, the educational…
Descriptors: Sustainability, Educational Technology, Blended Learning, Intervention
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Philip Newton; Maira Xiromeriti – Assessment & Evaluation in Higher Education, 2024
Media coverage suggests that ChatGPT can pass examinations based on multiple choice questions (MCQs), including those used to qualify doctors, lawyers, scientists etc. This poses a potential risk to the integrity of those examinations. We reviewed current research evidence regarding the performance of ChatGPT on MCQ-based examinations in higher…
Descriptors: Multiple Choice Tests, Artificial Intelligence, Integrity, Computer Software
Joshua R. Polanin; Qi Zhang; Joseph Taylor; Ryan T. Williams; Megha Joshi; Lauren Burr – Grantee Submission, 2022
Systematic reviews and meta-analyses are important techniques because they synthesize results from multiple primary studies on a similar topic. To influence policy, practice, and research, however, synthesis researchers must translate the results for various audiences. Ideally, the translation drives future research agendas, informs policymaking,…
Descriptors: Evidence, Educational Research, Meta Analysis, Concept Mapping
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Stacy N. McGuire; Rebecca Folkerts; Charissa Richards; Hedda Meadan; Rayan Alqunaysi; Christy D. Yoon – Technology, Pedagogy and Education, 2025
Early childhood teachers receive some training related to overall classroom management but report receiving little training and support when working with children who engage in challenging behaviour. To alleviate the barriers to supporting students who engage in challenging behaviour, it may be helpful to implement a technology tool that provides…
Descriptors: Early Childhood Teachers, Behavior Modification, Student Behavior, Technology Uses in Education
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Nina R. Benway; Jonathan L. Preston – Language, Speech, and Hearing Services in Schools, 2025
Purpose: Artificial intelligence (AI) is more capable and accessible than ever before. But what does this mean for clinical practice? How can speech-language clinicians evaluate the efficacy, validity, and reliability of AI and machine learning tools for automating assessment and treatment? How can speech-language clinicians ethically use these…
Descriptors: Speech Language Pathology, Allied Health Personnel, Speech Therapy, Artificial Intelligence
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Albert Rof Bertrans; Andrea Bikfalvi; Pilar Marques – International Journal of Distance Education Technologies, 2025
Led by artificial intelligence (AI), digital technologies are acting as a lever for significant change in higher education. Innovative formats such as macrolearning, the concatenation of a significant number of microlearning units, are consequently emerging. The purpose of this paper is to explore students' preferences for macrolearning programmes…
Descriptors: Preferences, Student Attitudes, Artificial Intelligence, Computer Software
Saba Kawas – ProQuest LLC, 2022
Today's technologies are rapidly impacting how children learn, play, communicate, and interact with others. Popular media and common wisdom often portray children's technology use as detrimental to their growth and wellbeing. However, in recent years, a wealth of research in Child-Computer Interaction (CCI), education, and health informatics…
Descriptors: Child Development, Technology, Design, Handheld Devices
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Andriamiseza, Rialy; Silvestre, Franck; Parmentier, Jean-Francois; Broisin, Julien – IEEE Transactions on Learning Technologies, 2023
Formative assessment provides teachers with feedback to help them adapt their behavior. To manage the increasing number of students in higher education, technology-enhanced formative assessment tools can be used to maintain and hopefully improve teaching and learning quality, thanks to the high amount of data that are generated by their usage.…
Descriptors: Learning Analytics, Formative Evaluation, Evidence Based Practice, Peer Evaluation
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Hansol Lee; Jang Ho Lee – Language Learning & Technology, 2024
Artificial intelligence (AI) has considerably advanced the methods for individualizing language learning opportunities, such as assessing learning progress and recommending effective individual instruction. In the present study, we conducted a meta-analysis to synthesize recent empirical findings pertaining to the utilization of AI-guided language…
Descriptors: Artificial Intelligence, Teaching Methods, Learning Processes, Computer Software
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Melanie W. Jensen; Peter J. Rich – International Journal of Designs for Learning, 2025
In the teaching of math-fact automaticity, most classroom teachers are unaware of research-based practices such as the use of a controlled response time, the scaffolded teaching of individual math facts, the limiting of exposure to new math facts, the separation of math facts with common operands, and even the definition of automaticity. As a…
Descriptors: Computer Software, Mathematics Instruction, Evidence Based Practice, Scaffolding (Teaching Technique)
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