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Mingyu Feng; Neil Heffernan; Kelly Collins; Cristina Heffernan; Robert F. Murphy – Grantee Submission, 2023
Math performance continues to be an important focus for improvement. The most recent National Report Card in the U.S. suggested student math scores declined in the past two years possibly due to COVID-19 pandemic and related school closures. We report on the implementation of a math homework program that leverages AI-based one-to-one technology,…
Descriptors: Homework, Artificial Intelligence, Computer Assisted Instruction, Feedback (Response)
Assim S. Alrajhi – ReCALL, 2023
This study investigates and compares the quality of Google-translated texts (GTTs) across writing genres (narrative, descriptive, expository, and persuasive) with EFL student--generated texts (SGTs), and explores students' attitudes toward Google Translate (GT) output. In a mixed-methods design with a computational approach to text analysis, this…
Descriptors: Translation, Web Sites, Internet, English (Second Language)
Tan, Zheyu; Beuran, Razvan; Hasegawa, Shinobu; Jiang, Weiwei; Zhao, Min; Tan, Yasuo – Education and Information Technologies, 2020
Cybersecurity is no longer an issue discussed only between the professionals or technologists, but it is also closely related to ordinary people whose daily life is exposed to kinds of cyberattacks. And Womabat Security Technologies conducted a survey revealed that ransomware is an unknown concept to nearly two-thirds of employees. In practical,…
Descriptors: Computer Security, Information Security, Training, Computer Assisted Instruction
Ward, Monica – Research-publishing.net, 2020
This paper looks at Computer Assisted Language Learning (CALL) in the primary school setting and the problems, possibilities, and potential associated with this context. CALL normalisation is a key feature of successful CALL usage. This paper looks at CALL normalisation in the primary school context through three different lenses: Leakey's (2011)…
Descriptors: Computer Assisted Instruction, Second Language Learning, Elementary School Students, Irish
Joel Alvarez; Sheena Mai A. Galman – Educational Process: International Journal, 2025
Background/purpose: This study aims to develop and validate a Massive Open Online Course (MOOC) in Elementary Statistics (ES) following the ADDIE Model of Instructional Development. Materials/methods: Employing a descriptive-developmental research design, anchored on different MOOC development policies and guidelines and aligned to Philippine…
Descriptors: Foreign Countries, Undergraduate Students, College Faculty, Statistics Education
James Lamb; Tim Fawns; Joe Noteboom; Jen Ross – Higher Education Research and Development, 2025
Ideas of space within higher education are changing, influenced by pedagogical innovation, emerging technologies, and the experiences of the COVID-19 pandemic. This is most obvious in the expansion of hybrid education, where teaching happens simultaneously both online and on the physical campus. Hybrid learning spaces emerge from dynamic,…
Descriptors: Foreign Countries, Graduate Students, College Faculty, Blended Learning
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
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

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