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Agostino Marengo; Alessandro Pagano; Jenny Pange; Kamal Ahmed Soomro – Interactive Technology and Smart Education, 2024
Purpose: This paper aims to consolidate empirical studies between 2013 and 2022 to investigate the impact of artificial intelligence (AI) in higher education. It aims to examine published research characteristics and provide insights into the promises and challenges of AI integration in academia. Design/methodology/approach: A systematic…
Descriptors: Literature Reviews, Artificial Intelligence, Technology Uses in Education, Higher Education
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Olga Ovtšarenko – Discover Education, 2024
Machine learning (ML) methods are among the most promising technologies with wide-ranging research opportunities, particularly in the field of education, where they can be used to enhance student learning outcomes. This study explores the potential of machine learning algorithms to build and train models using log data from the "3D…
Descriptors: Artificial Intelligence, Algorithms, Technology Uses in Education, Opportunities
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Robby Hilmi Rachmadian; Alfyananda Kurnia Putra; Sumarmi Sumarmi; Heni Masruroh – International Journal of Learning Technology, 2024
Geography education usually faces the problem of a monotonous learning process. Therefore, educators constantly seek better teaching strategies to present interesting and enjoyable classes. The main objective of this study is to 'present learning technology to improve geoheritage understanding' through an open-access website powered by interactive…
Descriptors: Experiential Learning, Computer Simulation, Educational Media, Technology Uses in Education
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Tingting Wang; Alejandra Ruiz-Segura; Shan Li; Susanne P. Lajoie – Journal of Computer Assisted Learning, 2024
Background: Scholars have confirmed the vital roles of self-regulated learning (SRL) behaviours in predicting task performance, especially within non-linear technology-rich learning environments (TREs). However, few studies focused on the learning costs (e.g., study effort and time-on-task) related to SRL and the efficiency outcome of SRL (i.e.,…
Descriptors: Problem Solving, Educational Environment, Efficiency, Student Behavior
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Valentina Nachtigall; Selina Yek; Nikol Rummel – Journal of Computer Assisted Learning, 2024
Background: With the increasing availability of immersive technologies such as 360° videos for educational purposes, research needs to shift from media comparison studies to value-added studies in order to identify conditions for effective learning with such technologies. For the educational use of history-related virtual reality media, which are…
Descriptors: Computer Simulation, Video Technology, Technology Uses in Education, Educational Technology
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Nicole Anthony – Journal of Educational Technology, 2024
Friends are an important part of adolescent development. Autistic adolescents with a co-occurring ADHD diagnosis may struggle with the social communication skills necessary to make friends (i.e., verbal initiations and on-topic responses) due to the characteristics of both disorders. This study used an alternating treatment design to compare a…
Descriptors: Attention Deficit Hyperactivity Disorder, Autism Spectrum Disorders, Comorbidity, Interpersonal Communication
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Jamie Manolev; Anna Sullivan; Neil Tippett – British Journal of Sociology of Education, 2024
Education is increasingly infiltrated by technology and datafication. This techno-data amplification is entangled with neoliberalism and the emphasis on calculation and measurement it brings, often through metrics. This article critically examines how metrics are shaping discipline practices in schools through ClassDojo, a popular platform for…
Descriptors: Discipline, Educational Practices, Student Behavior, Program Implementation
Samantha K. Dykes; Rachel E. Morris; Shanna K. Helmke – Solution Tree, 2024
Dive into a student-engaged framework structured around four learning stations: (1) the minilesson station, (2) the independent work station, (3) the collaboration station, and (4) the digital content station. Using direct and specialized instruction, interactive activities, and digital learning tools, these four stations aim to personalize…
Descriptors: Learning Centers (Classroom), Teaching Methods, Educational Technology, Learning Activities
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S. Sageengrana; S. Selvakumar; S. Srinivasan – Interactive Learning Environments, 2024
Students are termed "multitaskers," and it is likely that they easily fall prey to other subjects or topics that most interest them. They occasionally took heed or gave close and thoughtful attention to the lectures they were on. In the current educational system, our young generations receive materials from their leftovers, and their…
Descriptors: Electronic Learning, Dropouts, Student Behavior, Student Interests
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Huda S. Alazmi; Ghader M. Alemtairy – Education and Information Technologies, 2024
There is increasing educational interest in immersive virtual reality (IVR) applications which aid student learning and performance. However, few empirical studies have investigated the potential for implementing the technology in middle-school social studies classrooms. This study employed a quasi-experimental approach to address this issue,…
Descriptors: Computer Simulation, Field Trips, Middle School Students, Social Studies
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Dennis Alonzo; Val Quimno; Geraldine Townend; Cherry Zin Oo – Educational Assessment, Evaluation and Accountability, 2024
The use of information and communication technology-based data systems to support teachers in data-driven decision-making (DDDM) remains limited. Despite the growing number of data systems available, their uptake remains limited, and there is a limited understanding of what data system characteristics increase and factors that influence teacher…
Descriptors: Teachers, Information Technology, Computer Mediated Communication, Computer Assisted Instruction
Zachry William Warren – ProQuest LLC, 2024
The purpose of this research is to better understand how perceived usefulness (PU) and perceived ease of use (PEU) predict how frequently science teachers use digital learning tools in the physical classroom. The research was based on the widely used Technology Acceptance Model (TAM), originally developed by Davis (1989). The research is…
Descriptors: Educational Technology, Technology Uses in Education, Usability, Value Judgment
Brenda Ann Albright Barnhart – ProQuest LLC, 2024
Underrepresented students struggle with academic and engagement behaviors in online learning. This study aimed to explore the perceived educational needs of underrepresented high school students during online learning. The conceptual framework created for this study utilized two different frameworks, combining the students' perceived educational…
Descriptors: Academic Achievement, Disadvantaged Youth, Minority Group Students, Disproportionate Representation
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Shafia Abdul Rahman – International Journal of Technology in Education and Science, 2024
This research aimed to examine the effect of the "Matific" platform on preschool students' academic performance in Mathematics in Al Dhafra Region, United Arab Emirates. It also examined the difference between boys' and girls' academic performance after using the "Matific" platform during mathematics learning. An experimental…
Descriptors: Foreign Countries, Mathematics Education, Mathematics Instruction, Preschool Education
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Judit Martínez-Moreno; Dominik Petko – Education and Information Technologies, 2024
This research paper introduces the (D)FIT-Choice (Digital Factors Influencing Teacher Choice) scale and discusses the outcomes of its initial implementation. The (D)FIT-Choice scale expands upon the existing FIT-Choice scale by incorporating additional subscales, namely "Prior digital technology use in education" within Socialization…
Descriptors: Educational Technology, Test Construction, Technology Uses in Education, Self Efficacy
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