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Kittel, Anne Frieda Doris; Seufert, Tina – Journal of Computer Assisted Learning, 2023
Background: Most workplace learning is informal. However, some employees struggle to execute informal learning strategies effectively because they lack the necessary knowledge or skills or use their knowledge and skills ineffectively or not at all. Objectives: We examined the effects of computer-based micro-learning interventions that provide…
Descriptors: Informal Education, Learning Strategies, Workplace Learning, Job Skills
Caitlyn Noelle Francis – ProQuest LLC, 2023
Various approaches have been introduced and tested to try to help struggling high school students catch up on their reading achievement. The current research study investigated how to support high school students with reading difficulties in increasing their reading abilities, engagement, and perception of their school as a supportive and…
Descriptors: High School Students, Reading Difficulties, Reading Achievement, Intervention
Charalampos-S Charitsis – ProQuest LLC, 2023
The employment rate of software developers has risen significantly over the last 30 years. As a result, more students are considering computer science as a potential career path. Over the last 15 years, introductory programming course (CS1) enrollment has been increasing at a much faster rate than the increase in the number of CS faculty, with no…
Descriptors: Computer Science Education, Programming, Natural Language Processing, Computer Software
Semiyu Adejare Aderibigbe; Abdel Rahman Ahmed AbdelRahman; Abdalla Falah ELMneizel; Fakir Al Gharaibeh – Contemporary Educational Technology, 2023
Computer-supported collaborative learning (CSCL) pedagogies, platforms, and tools are prevalent in higher education due to their pervasive capabilities to enhance students' engagement, communication, and learning. However, it is reported that CSCL tools, media, and platforms may not yield the desired results if not planned, utilized, and managed…
Descriptors: Mentors, Student Attitudes, Peer Relationship, Computer Assisted Instruction
Ondr?ej Socha; Zuzana Osifova´; Martin Drac?i´nsky´ – Journal of Chemical Education, 2023
Nuclear magnetic resonance (NMR) spectroscopy is a very powerful analytical method that has found many applications in physics, chemistry, biology, and medicine. It is an indispensable tool particularly for synthetic chemists because it can be used for a rapid elucidation of the structures of organic compounds. For this reason, NMR spectral…
Descriptors: Web Sites, Experiential Learning, Spectroscopy, Science Education
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

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