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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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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
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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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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
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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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Dagman, Andreas; Wärmefjord, Kristina – Education Sciences, 2022
The pandemic has had a major effect on engineering education, transforming both current and future teaching practice. The physical meetings between student and teacher have during the pandemic been replaced by online contact and recordings of lectures and demonstrations. In this paper, the focus is on computer aided design (CAD) teaching for…
Descriptors: Evidence Based Practice, Computer Assisted Design, COVID-19, Pandemics
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Chan, P.; Furlonger, B. E.; Leif, E. S.; D'Souza, L. A.; Phillips, K. J.; Di Mattia, M. – Educational and Developmental Psychologist, 2022
Objective: To evaluate the behaviour change techniques (BCT) of anxiety-related stand-alone apps accessible to individuals who wish to use apps to assist in the self-management of their anxiety. Methods: Apps that met the inclusion criterion were downloaded and subjected to content analysis. Specific categories were coded using the BCTTv1…
Descriptors: Behavior Change, Intervention, Anxiety, Self Management
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Sripradith, Raweewat – Shanlax International Journal of Education, 2023
Regardless of the brain's limited storage capacity, teachers must exercise caution and vigilance in the classroom to prevent overwhelming students with excessive information, as this can impede their learning ability. This study aims to compare the effectiveness of traditional PowerPoint slides and Assertion-Evidence designs in improving…
Descriptors: Grammar, English (Second Language), Second Language Learning, Second Language Instruction
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Verdecchia, Roberto; Lago, Patricia – IEEE Transactions on Education, 2023
Contribution: This article contributes empirical insights on hybrid teaching of software engineering courses. Results include the systematic analysis of hybrid teaching attendance and interaction, perception of hybrid teaching, and grade distributions. Results are synthesized into eight evidence-based guidelines. Background: Hybrid teaching, i.e.,…
Descriptors: Engineering Education, Computer Science Education, Computer Software, Masters Programs
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Dexter, Sara; Francisco, Aubrey; Luke Luna, Christina – Journal of Educational Administration, 2021
Purpose: The purpose of this study was to better understand K-12 district leaders' reasoning and processes for selecting and deploying EdTech instructional products, including which, if any, types of data are used to support decision-making. Design/methodology/approach: This multisite case study of educational technology (EdTech) decision-making…
Descriptors: Educational Technology, Decision Making, Selection, Purchasing
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Tiffany Wu; Christina Weiland – Society for Research on Educational Effectiveness, 2024
Background/Context: Chronic absenteeism is a serious problem that has been linked to lower academic achievement, diminished socioemotional skills, and an increased likelihood of high school dropout (Allensworth et al., 2021; Gottfried, 2014). As a result, many schools have begun to embrace early warning systems (EWS) as a tool to identify and flag…
Descriptors: Attendance, Early Childhood Education, Intervention, Artificial Intelligence
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Sink, Christopher A.; Adkins, Clara; Cooney, Myya; Garverick, Tiffany – Professional School Counseling, 2019
This article addresses school counselor evidence-based accountability practice by summarizing the findings of a hands-on evaluation of readily accessible, free online accountability software that can be used for data collection, management and analysis, and presentations. Using germane school data, four preservice counselors individually rated…
Descriptors: Computer Software, Accountability, Evidence Based Practice, School Counseling
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Hilton, Courtney B.; Goldwater, Micah B.; Hancock, Dale; Clemson, Matthew; Huang, Alice; Denyer, Gareth – CBE - Life Sciences Education, 2022
A critical goal for science education is to design and implement learning activities that develop a deep conceptual understanding, are engaging for students, and are scalable for large classes or those with few resources. Approaches based on peer learning and online technologies show promise for scalability but often lack a grounding in cognitive…
Descriptors: Science Education, Undergraduate Students, Biochemistry, Correlation
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Kouo, Jennifer; Visco, Courtney – Focus on Autism and Other Developmental Disabilities, 2021
Inferential readings skills are necessary in ensuring that students with autism spectrum disorders (ASD) are successful in the general education curriculum. These skills provide a foundation for reading comprehension across content areas. Technology-aided instruction and intervention (TAII) has the potential to address these reading deficits, by…
Descriptors: Inferences, Reading Comprehension, Autism, Pervasive Developmental Disorders
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