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Rusen Meylani; Gary G. Bitter – International Society for Technology, Education, and Science, 2023
The use of online learning objects in teaching algebra is examined in this research, emphasizing its benefits, such as accessibility, flexibility, interactive involvement, differentiated instruction, quick feedback, and links to real-world situations. Strategies include conceptual comprehension, interactive practice, individualized learning,…
Descriptors: Algebra, Electronic Learning, Mathematics Instruction, Mathematical Concepts
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Ross Andrew Shalliker; Corey Manwaring – Journal of Chemical Education, 2023
Performing HPLC-based experiments in the undergraduate practical classroom is difficult because of the time required to perform an analysis. This limits the type of practical to one that undertakes a simple quantitative analysis. However, with the use of sophisticated simulators, such as the one employed in this exercise, more complex experiments…
Descriptors: Undergraduate Students, Science Instruction, Chemistry, Laboratory Experiments
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Lianghai Chu – Education and Information Technologies, 2025
The rapid advancement of artificial intelligence (AI) technology has enabled the creation of digital human instructors with human-like visual and verbal characteristics. This study investigates the impact of human likeness on learner satisfaction within e-learning environments, drawing on the "Uncanny Valley" theory and the Experience…
Descriptors: Student Satisfaction, Computer Assisted Instruction, Electronic Learning, Artificial Intelligence
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Kaitlyn Tracy; Ourania Spantidi – IEEE Transactions on Learning Technologies, 2025
Virtual reality (VR) has emerged as a transformative educational tool, enabling immersive learning environments that promote student engagement and understanding of complex concepts. However, despite the growing adoption of VR in education, there remains a significant gap in research exploring how generative artificial intelligence (AI), such as…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer Simulation, Educational Technology
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Keith M. Graham; Tzu-Bin Lin; Hsi-Ling Huang – Asia Pacific Education Review, 2025
This exploratory study utilized a conceptual framework for self-directed computer-assisted professional development (PD) to evaluate the implementation and outcomes of a six-month PD pilot program. The program was designed to enhance the English proficiency of Taiwanese bilingual school teachers through a computer-assisted learning platform. Using…
Descriptors: Independent Study, Computer Assisted Instruction, Faculty Development, Language Proficiency
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Rattanakul Kongpha; Kanita Hinon; Panita Wannapiroon – International Education Studies, 2025
The model of the HyFlex Learning Ecosystem is with social emotional learning to enhance digital emotional intelligence. The concept is based on the integration of digital learning ecosystems. HyFlex Learning and social emotional learning this research has the objective (1) To study and synthesize the conceptual framework of The HyFlex Learning…
Descriptors: Social Emotional Learning, Emotional Intelligence, Foreign Countries, Computer Assisted Instruction
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Abdou L. J. Jammeh; Claude Karegeya; Savita Ladage – Education and Information Technologies, 2025
Clicker-integrated instruction is the current innovation in teaching and learning. Several studies used this technology to investigate learning processes, while others mainly used it to asses for learning, facilitation of group discussion and students' participation. All applications require creativity and analytical thinking and very much…
Descriptors: Chemistry, Science Instruction, Audience Response Systems, Computer Assisted Instruction
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Xiaotong Yu; María Ángeles Gutiérrez-García; Roberto Soto-Varela; Melchor Gómez-García – Contemporary Educational Technology, 2025
Robotics education and robot-embedded learning have become focal points in recent interdisciplinary and innovative education. Despite the identified opportunities, there are still limitations and considerations before integrating educational robotics into foreign language education on a large scale. This survey investigates foreign language…
Descriptors: Language Teachers, Teacher Attitudes, Educational Technology, Robotics
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Weijiao Huang; Khe Foon Hew – IEEE Transactions on Learning Technologies, 2025
In an online learning environment, both instruction and assessments take place virtually where students are primarily responsible for managing their own learning. This requires a high level of self-regulation from students. Many online students, however, lack self-regulation skills and are ill-prepared for autonomous learning, which can cause…
Descriptors: Independent Study, Interpersonal Relationship, Electronic Learning, Computer Software
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Duong Minh Tuan; Le Thi Diem Lan – Turkish Online Journal of Distance Education, 2025
The proliferation of communication technologies in recent years has significantly contributed to the swift transformation of education. The outbreak of the COVID-19 pandemic at the beginning of 2020 caused further drastic changes in education, making digital transformation one of its most apparent attributes. This evolution has necessitated a call…
Descriptors: Interaction, Student Satisfaction, Student Attitudes, Electronic Learning
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Costanza Ruffini; Eleonora Pizzigallo; Chiara Pecini; Laura Bertolo; Barbara Carretti – Reading Research Quarterly, 2025
It is acknowledged the need for interventions to improve reading comprehension and its cognitive underpinnings, such as executive functions. The present study implemented a computerized cognitive training for enhancing reading comprehension in primary school children through EF activities embedded in text comprehension exercises. 263 third and…
Descriptors: Executive Function, Computer Assisted Instruction, Training, Reading Instruction
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Richard Hannah; Julie Matuszczak; Melissa Briggs – Journal of Educational Technology Systems, 2025
This novel qualitative study explores the transformative potential of Virtual Reality (VR) in augmenting Computer-Based Training (CBT) for energy industry contractors. By immersing participants in four VR simulations, the study delves into the heart of how learners perceive hazardous work environments and emergency procedures in VR. The findings…
Descriptors: Computer Assisted Instruction, Computer Uses in Education, Computer Simulation, Industrial Education
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Johann Chevalère; M. Berthon; N. Rocher; D. Pailler; V. Mazenod; P. Huguet – Education and Information Technologies, 2025
Computer-assisted instruction (CAI) is a valuable approach for managing classroom heterogeneity by providing feedback tailored to students' individual needs. While previous research has primarily focused on the cognitive mechanisms underlying CAI's effectiveness, it has often overlooked the social-cognitive processes that may contribute to its…
Descriptors: Computer Assisted Instruction, Self Esteem, Feedback (Response), Geography Instruction
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Chun-Mei Chou; Tsu-Chuan Shen; Tsu-Chi Shen – Education and Information Technologies, 2025
AR-supported instruction has been verified to improve students' problem-solving skills. This study investigated 1041 university students and developed an empirical research model that combined technology acceptance, self-regulation, and AR-supported learning effectiveness with the structural equation model (SEM). At the same time, content analysis…
Descriptors: College Students, Student Attitudes, Computer Attitudes, Adoption (Ideas)
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Marlene Steinbach; Johanna Fleckenstein; Livia Kuklick; Jennifer Meyer – Journal of Computer Assisted Learning, 2025
Background: Providing students with information on their current performance could help them improve by stimulating their reflection, but negative feedback that saliently mirrors task-related failure can harm motivation. In the context of automated scoring based on artificial intelligence, we explored how feedback on written texts might be…
Descriptors: Student Motivation, Academic Achievement, Low Achievement, Feedback (Response)
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