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Saylan, Esin; Kokoç, Mehmet; Tatli, Zeynep – Waikato Journal of Education, 2023
The aim of this study was to examine the current trends and main findings of the empirical computer assisted foreign language learning studies. The database, Web of Science, was reviewed and a total of 36 studies between 2000 and 2020 were analysed. The systematic analysis was performed with the content analysis method. The content of the reviewed…
Descriptors: Second Language Learning, Second Language Instruction, Teaching Methods, Research Reports
Dolowitz, Annetta; Collier, Jessica; Hayes, Aleshia; Kumsal, Cem – TechTrends: Linking Research and Practice to Improve Learning, 2023
This case study details microlearning content development, testing, and implementation of the NATO Headquarters Supreme Allied Command Transformation (HQ SACT) e-Learning Networking App (NeNA) conducted by an AECT microlearning consulting team. NeNA was designed to provide microlearning "just-in-time" content, to create socialization…
Descriptors: Case Studies, Computer Software, Armed Forces, International Organizations
Thi, Nang Kham; Vo, De Van; Nikolov, Marianne – Language Learning in Higher Education, 2023
Students' writing proficiency is measured through holistic and analytical ratings in writing assessment; however, recent studies suggest that measurement of syntactic complexity in second language writing research has become an effective measure of writing proficiency. Within this paradigm, we investigated how automated measurement of syntactic…
Descriptors: Error Patterns, Computational Linguistics, Undergraduate Students, Cross Cultural Studies
Ratner, Nan Bernstein; MacWhinney, Brian – Perspectives of the ASHA Special Interest Groups, 2023
Background: We discuss a free software system (Computerized Language Analysis [CLAN]) that can enable fast, thorough, and informative language sample analysis (LSA). Method: We describe methods for eliciting, transcribing, analyzing, and interpreting language samples. Using a hypothetical child speaker, we illustrate use KidEval to generate a…
Descriptors: Computer Software, Goal Orientation, Computational Linguistics, Syntax
Zamborova, Katarina; Klimova, Blanka – Contemporary Educational Technology, 2023
The article presents the research of empirical mixed methods on the use of a modern mobile reading app compared to traditional forms of teaching in English business classes in higher education in Slovakia. The research belongs to the theoretical frame of the mobile assisted language learning field that has generated an interest since the early…
Descriptors: Business English, English for Special Purposes, Computer Software, Computer Assisted Instruction
Liu, Pei-Lin; Chen, Chiu-Jung – Educational Technology & Society, 2023
This study aimed to examine the effects of an AI-based object detection translation (AI-based ODT) application (app) on EFL students' vocabulary learning. We developed a system that utilized strategies to facilitate learners' vocabulary learning. The app applied dual code theory to present the objects in picture, word, and pronunciation formats.…
Descriptors: Translation, Artificial Intelligence, Computational Linguistics, Computer Software
Kortemeyer, Gerd – Physical Review Physics Education Research, 2023
Massive pretrained language models have garnered attention and controversy due to their ability to generate humanlike responses: Attention due to their frequent indistinguishability from human-generated phraseology and narratives and controversy due to the fact that their convincingly presented arguments and facts are frequently simply false. Just…
Descriptors: Artificial Intelligence, Physics, Science Instruction, Introductory Courses
Bovolenta, Giulia; Husband, E. Matthew – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
Prediction in language comprehension has become a key mechanism in recent psycholinguistic theory, with evidence from lexical prediction as a primary source. Less work has focused on whether comprehenders also make structural predictions above the lexical level. Previous research shows that processing is facilitated for syntactic structures which…
Descriptors: Prediction, Verbs, Italian, Linguistic Input
Finkelstein, Shir; Netz, Hadar – Applied Linguistics, 2023
With the increasing use of mobile phones among young people, there is growing public concern about possible detrimental effects of digital writing on learners' literacy and language skills. We ask whether and to what extent nonstandard forms typical of spoken Hebrew and of digital communication are also found in the formal writing of high-school…
Descriptors: Folk Culture, Linguistics, Grammar, Computational Linguistics
Verdecchia, Roberto; Lago, Patricia – IEEE Transactions on Education, 2023
Contribution: This article contributes empirical insights on hybrid teaching of software engineering courses. Results include the systematic analysis of hybrid teaching attendance and interaction, perception of hybrid teaching, and grade distributions. Results are synthesized into eight evidence-based guidelines. Background: Hybrid teaching, i.e.,…
Descriptors: Engineering Education, Computer Science Education, Computer Software, Masters Programs
Žan Rode; Gregor Torkar – International Journal of Educational Methodology, 2023
The iNaturalist application has been gaining traction in both biodiversity research and education. Increasingly more research is being carried out, looking into using the iNaturalist application in biology education, to promote biodiversity and educate students about this topic. We used the PRISMA systematic literature review method to examine…
Descriptors: Computer Oriented Programs, Computer Software, Handheld Devices, Educational Technology
Misnawati Misnawati; Yusriadi Yusriadi; Saidna Zulfiqar Bin Tahir – MEXTESOL Journal, 2023
It is commonly accepted that educators who prepare to teach materials to meet student needs should cover all skills in English, such as speaking, listening, reading, and writing with additional grammar and vocabulary according to the level of students. Because technology has developed rapidly, educators can design technologically friendly teaching…
Descriptors: Linguistic Input, English (Second Language), Second Language Learning, Second Language Instruction
Parlindungan Pardede; Ninuk Lustyantie; Ifan Iskandar – Journal of English Teaching, 2023
Over the last decades, applied linguistics and language teaching/learning have investigated language errors committed by learners for both diagnostic and prognostic purposes. Initially, error analysis was conducted manually and involved a limited number of corpus. However, computer software advancement has facilitated much larger amounts of data…
Descriptors: Error Analysis (Language), English (Second Language), Second Language Learning, Second Language Instruction
Ji Eun Lee; Unkyoung Maeng – Journal of Pan-Pacific Association of Applied Linguistics, 2023
This study explored high school students' perceptions of using AI chatbots in English learning. Specifically, it aimed to gauge the breadth of chatbot utilization and discern perceptions surrounding potential challenges linked to their use. Thirty students from a high school took part in the survey. Data analysis involved frequency, mean and an…
Descriptors: Ethics, Student Attitudes, High School Students, Artificial Intelligence
Mamedova, Larisa; Rukovich, Alexander; Likhouzova, Tetiana; Vorona-Slivinskaya, Lubov – Education and Information Technologies, 2023
The World Health Organization announced the COVID-19 pandemic, which led to considerable disruption of the global education system and required an early adaptation of the educational process. In addition to the resumption of the educational process, it was necessary to preserve the academic performance of students of higher educational…
Descriptors: Academic Achievement, Engineering Education, Chemistry, Foreign Countries