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W. Lewis Johnson – International Journal of Artificial Intelligence in Education, 2024
The advent of generative AI has caused both excitement and anxiety among educators. Some school systems have gone so far as to ban it altogether. Generative AI has the potential to transform human learning; but like any new technology, it has both strengths and weaknesses, and adopting it involves some risks. There are risks that generative AI…
Descriptors: Artificial Intelligence, Learning Strategies, Technology Uses in Education, Teacher Attitudes
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Crystal Neumann – Online Journal of Distance Learning Administration, 2025
In today's dynamic and high-tech learning environment, offering flexible and innovative assignment options is crucial for engaging students across varied learning preferences and backgrounds. Alternative formats, such as gamification and storyboards, can boost engagement, spark creativity, and enhance learning outcomes in college classrooms. By…
Descriptors: Gamification, College Students, Learner Engagement, Student Motivation
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Keller, Thomas; Curcio, Rosalia; Brucker-Kley, Elke – International Association for Development of the Information Society, 2022
A virtual reality learning unit for the functioning of a router is used to show how students at bachelor level can be provided with another teaching tool in the future, whereby the didactic approach of a change of perspective makes optimal use of the advantages of virtual reality and should enable a more profound understanding. Further studies are…
Descriptors: Computer Simulation, Teaching Methods, Learning Strategies, Academic Achievement
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Anthony D. Koutsoftas; Karen Hoover – Topics in Language Disorders, 2024
In this clinical tutorial, we describe the implementation of interventions provided to struggling writers using telepractice as the method of service delivery. The intervention of focus in this article was provided by graduate students who received advanced training in supporting writing to elementary school children with and without learning…
Descriptors: Teaching Methods, Learning Strategies, Writing Instruction, Writing Difficulties
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Shimelis Kebede Kekeba; Abera Gure; Teklu Tafesse Olkaba – Interactive Technology and Smart Education, 2025
Purpose: The purpose of this study was to investigate the impact of using a jigsaw learning strategy integrated with computer simulation (JLSICS) on the academic achievement and attitudes of students, along with exploring the relationships between them in the process of learning about acids and bases. Design/methodology/approach: The research…
Descriptors: Teaching Methods, Learning Strategies, Computer Simulation, Technology Uses in Education
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Faruk Bulut; I?lknur Dönmez; I?brahim Furkan I?nce; Pavel Petrov – International Online Journal of Primary Education, 2024
A homogeneous distribution of students in a class is accepted as a key factor for overall success in primary education. A class of students with similar attributes normally increases academic success. It is also a fact that general academic success might be lower in some classes where students have different intelligence and academic levels. In…
Descriptors: Elementary School Students, Grade 1, Teaching Methods, Supervision
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Li-Mei Chen; Chunlei Liu – TESOL Journal, 2025
The conventional perspective of learner autonomy aims to cultivate second and foreign language (L2) learners with self-regulated learning strategies they can use to achieve native-like communicative competence. While the perspective can equip L2 learners with certain linguistic coding and decoding skills to take charge of their own learning, it…
Descriptors: Personal Autonomy, Second Language Learning, Second Language Instruction, Writing Instruction
Peter Pavlis – Online Submission, 2025
This quantitative, quasi-experimental study aimed to propose research-based AI constructivist learning activities by measuring students' self-perceptions of their critical thinking using the Motivational Strategies and Learning Questionnaire (MSLQ). The study utilized the input-experience-output framework to evaluate how these learning pursuits…
Descriptors: Critical Thinking, Artificial Intelligence, Constructivism (Learning), Learning Activities
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Nicolas Michinov; Jérôme Hutain – Active Learning in Higher Education, 2024
Multitasking activities among students using various technological devices is common during lectures, and many studies have demonstrated their deleterious effects on various learning outcomes. In contrast, fewer studies have examined ways to reduce multitasking and stimulate engagement in learning. The present study provides an educational…
Descriptors: Foreign Countries, Undergraduate Students, Psychological Studies, Handheld Devices
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Serna M., Edgar; Serna A., Alexei – Journal of Educational Change, 2021
To demonstrate whether individuals of the new generation have developed a unique and different learning model, research was conducted on children aged 10-11 in England, the United States, Australia and Germany. The qualities and the characteristics those children seek in the activities with which they spend more time were recognized. Using this…
Descriptors: Foreign Countries, Preadolescents, Educational Technology, Technology Uses in Education
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Sirkku Lähdesmäki; Minna Maunumäki; Tommi Nurmi – Early Childhood Education Journal, 2024
The development of digital pedagogy in early childhood education and care (ECEC) is a relevant issue. The role of the ECEC leader in initiating and leading the development of digital pedagogy is important. The aim of this study was to explore the views of ECEC leaders on digital pedagogy and its development, as little research has been done on the…
Descriptors: Electronic Learning, Administrator Attitudes, Early Childhood Education, Administrators
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Areej ElSayary, Editor – IGI Global, 2025
By creating specific prompts, educators can harness the power of AI models to generate tailored content, provide instant feedback, and simulate real-world scenarios for deeper learning engagement. Whether it's creating personalized lesson plans, generating creative writing prompts, or assisting with problem-solving exercises, generative AI creates…
Descriptors: Prompting, Engineering, Artificial Intelligence, Technology Uses in Education
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Jasmin Breitwieser; Andreas B. Neubauer; Florian Schmiedek; Garvin Brod – npj Science of Learning, 2024
Mobile devices are ubiquitous, but their potential for adaptive educational interventions remains largely untapped. We identify three key promises of mobile interventions for educational research and practice: 1) intervening when it is most beneficial (i.e., "just-in-time adaptivity"), 2) estimating causal effects of interventions in…
Descriptors: Students, Handheld Devices, Computer Assisted Instruction, Educational Technology
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Wang, Tingting; Li, Shan; Lajoie, Susanne – Educational Technology & Society, 2023
Cognitive load can be induced by both learning tasks and self-regulated learning (SRL) activities, which compete for limited working memory capacity. However, there is little research on the relationship between cognitive load and SRL. This study explored how cognitive load interplayed with SRL behaviors and their joint effects on task performance…
Descriptors: Cognitive Processes, Difficulty Level, Learning Strategies, Technology Uses in Education
Melissa Kathleen Miller – ProQuest LLC, 2024
In the era of emerging technologies in the 21st Century classroom, secondary English Language Arts (ELA) students may exhibit complications in navigating literacy in blended learning environments. The purpose of this research study focused on addressing a gap in the current literature in these specific areas to investigate the relationship between…
Descriptors: Secondary School Teachers, Language Arts, Teaching Methods, Educational Practices
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