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De-Chih Lee; Ching-Yi Chang – Education and Information Technologies, 2025
During the digital age, self-directed learning has emerged as an effective teaching strategy in designing class activities within the educational sphere, prompting an investigation into its impact on the effectiveness of instruction in the K-12 context. This article presents a meta-analysis aimed at examining the efficacy of self-directed learning…
Descriptors: Elementary School Students, Secondary School Students, Independent Study, Active Learning
Kun Dou; Huzaina Abdul Halim; Mohd Rashid Mohd Saad – European Journal of Education, 2025
Despite the rapid growth of integrating language learning applications into educational settings, limited studies have reported students' continuance intention to use mobile English learning applications in the mobile-assisted language learning (MALL) context. This study extended the expectation confirmation model (ECM) with mobile self-efficacy…
Descriptors: Telecommunications, Handheld Devices, Computer Assisted Instruction, Teaching Methods
Jie Fang – Knowledge Management & E-Learning, 2025
Although mobile technologies are commonly used to support language learning, there is a lack of research to comprehensively determine the acceptance, readiness, affordances, and challenges in this area. To address this gap, this systematic literature review selected 49 articles indexed in the Scopus database between 2013 and 2022. This study found…
Descriptors: Telecommunications, Handheld Devices, Computer Assisted Instruction, Second Language Learning
Kadir Karakaya; Muhammet Furkan Alpat; Hasan Uçar; Özlem Karakaya; Aras Bozkurt – Technology in Language Teaching & Learning, 2025
The increasing integration of generative Artificial Intelligence (AI) tools, such as ChatGPT, in education has prompted growing interest in their pedagogical potential and the emergent competencies required for their effective use in language instruction. While generative AI is beginning to influence language teaching and learning practices,…
Descriptors: Literature Reviews, Bibliometrics, Algorithms, Language Teachers
Ying Yang – Education and Information Technologies, 2025
Vocabulary acquisition is crucial for language learning, yet learners face substantial challenges in memorizing extensive vocabulary. Numerous studies suggest Artificial Intelligence (AI)-based technologies could significantly improve vocabulary acquisition among K-12 learners. Therefore, instructors or teachers must be fully informed of the…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Assisted Instruction, Vocabulary Development
Lina Sabbah – Acta Educationis Generalis, 2025
Introduction: The current research project subsumes a vibrant analysis of the convoluted essence of reading comprehension, with the aim of exploring the diverse deficits learners encounter to assimilate texts in law in the English language at the Faculty of Law and Political Sciences, University of Bejaia, Algeria. Then, it attempts to find…
Descriptors: Foreign Countries, Law Students, Legal Education (Professions), Reading Comprehension
Nannas, Natalie J. – Bioscene: Journal of College Biology Teaching, 2021
CRISPR-Cas9 is revolutionizing how we conduct scientific research, treat disease, and develop new crops. The widespread impact of this genome-editing technology makes it critical for undergraduate students to understand and engage with this new tool. In this article, we describe a multi-week lab module that teaches undergraduates how to design…
Descriptors: Genetics, Science Instruction, Undergraduate Students, Scientific Research
Yarrison, Betsy Greenleaf – Honors in Practice, 2021
Honors education was never intended to be a virtual offering; it takes intimate, three-dimensional, communal, and intellectual interaction among faculty and students to tackle wicked problems. The COVID-19 crisis forced honors educators into an extreme reboot, extracting courses from comfortable working spaces and relocating them to strange new…
Descriptors: Honors Curriculum, Computer Simulation, COVID-19, Pandemics
Kroeze, Karel A.; van den Berg, Stephanie M.; Veldkamp, Bernard P.; de Jong, Ton – IEEE Transactions on Learning Technologies, 2021
A tool is presented that can automatically assess the quality of students' concept maps and provide feedback based on a reference concept map. It is shown that this tool can effectively assess the quality of concept maps, and that it can provide accurate and helpful feedback on a number of specific shortcomings often evident in students' concept…
Descriptors: Feedback (Response), Concept Mapping, Student Evaluation, Teaching Methods
Amarasinghe, Ishari; Hernández-Leo, Davinia; Ulrich Hoppe, H. – International Journal of Computer-Supported Collaborative Learning, 2021
Under the notion of "CSCL scripts", different pedagogical models for structuring and supporting collaboration in the classroom have been proposed. We report on a practical experience with scripts based on the Pyramid collaborative learning flow pattern supported by a specific classroom tool and a teacher-facing dashboard that implements…
Descriptors: Cooperative Learning, Computer Assisted Instruction, Scripts, Learning Analytics
Isohätälä, Jaana; Näykki, Piia; Järvelä, Sanna; Baker, Michael J.; Lund, Kristine – International Journal of Computer-Supported Collaborative Learning, 2021
Technologies for computer-supported collaborative learning (CSCL) are playing an increasingly prominent role in educational contexts, especially as teachers and students strive to deal with pandemic-related constraints. However, the technologies being used for collaboration on a daily basis are not sufficiently equipped to promote collaborative…
Descriptors: Cooperative Learning, Computer Assisted Instruction, Educational Technology, COVID-19
Nakeva von Mentzer, C.; Kalnak, N.; Jennische, M. – Journal of Intellectual Disabilities, 2021
Children with Down syndrome (DS) using intensive computer-based phonics (GraphoGame, GG) were studied. The children's independence and improvement in phonological processing, letter knowledge, word decoding, and reading strategies were investigated. Seventeen children (5-16 years) with DS participated in a crossover design through 8 weeks (one…
Descriptors: Computer Assisted Instruction, Phonics, Down Syndrome, Alphabets
Edward Osang Ayuk – ProQuest LLC, 2021
The purpose of this study was to identify differences in metacognitive and self-regulated learning strategies used by students in a self-paced, computer-based developmental mathematics program (DMP) and how these strategies accounted for differences in persistence and performance observed among the students. Five research questions guided the…
Descriptors: Metacognition, Self Management, Computer Assisted Instruction, Developmental Studies Programs
Melissa L. Herder – ProQuest LLC, 2021
Teacher perceptions offer a perspective and point of view from a teacher's lens about a given topic. Professional behavior is often influenced by teacher perceptions. In this study, the researcher conducts interviews and surveys the teaching staff at a project-based learning high school after blending the curriculum with a computer-assisted…
Descriptors: Technology Integration, Computer Assisted Instruction, Active Learning, Student Projects
Natalia Spitha; Yujian Zhang; Samuel Pazicni; Sarah A. Fullington; Carla Morais; Amanda Rae Buchberger; Pamela S. Doolittle – Chemistry Education Research and Practice, 2024
The Beer-Lambert law is a fundamental relationship in chemistry that helps connect macroscopic experimental observations (i.e., the amount of light exiting a solution sample) to a symbolic model composed of system-level parameters (e.g., concentration values). Despite the wide use of the Beer-Lambert law in the undergraduate chemistry curriculum…
Descriptors: Chemistry, Science Instruction, Undergraduate Students, Scientific Principles

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