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Ruofei Zhang; Di Zou; Gary Cheng – Education and Information Technologies, 2024
Research on technology-enhanced language learning (TELL) has been rapidly growing since 2000, of which the attention is mostly on the statistically significant positive results. However, learning from TELL with null and negative results (NNR), especially its features and reasons, can develop knowledge and awareness of the nature and limitations of…
Descriptors: Computer Assisted Instruction, Technology Uses in Education, Second Language Learning, Social Theories
Jody Britten; Paul Atherton – Childhood Education, 2024
Globally, less than 10% of schools are developing uniquely local artificial intelligence (AI) policies and addressing use cases. Policies and guide rails for using AI in education that are in place have rightfully called for us to address the ethical implications and biases that can arise with regard to AI tools and systems. The landscape of what…
Descriptors: Artificial Intelligence, Technology Uses in Education, Faculty Development, Computer Assisted Instruction
Chun-Chun Chang; Gwo-Jen Hwang – Education and Information Technologies, 2024
In vocational education, cultivating students' ability to deal with real cases is a crucial training objective. The BSFE (i.e., Brainstorming, Screening, Formation, Examination) model is a commonly adopted training procedure. Each stage is designed for guiding students to analyze and find solutions to handle real cases. However, as one teacher is…
Descriptors: Vocational Education, Nursing Education, Robotics, Simulation
Ulrike Cress; Joachim Kimmerle – International Journal of Computer-Supported Collaborative Learning, 2023
Generative Artificial Intelligence (AI) tools, such as ChatGPT, have received great attention from researchers, the media, and the public. They are gladly and frequently used for text production by many people. These tools have undeniable strengths but also weaknesses that must be addressed. In this squib we ask to what extent these tools can be…
Descriptors: Artificial Intelligence, Cognitive Style, Computer Assisted Instruction, Learning Strategies
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
Aziz Ilhan; Recep Aslaner; Cihat Yasaroglu – Education and Information Technologies, 2025
Digital literacy is a 21st century requirement and its importance is increasing day by day. In this article, it was aimed to evaluate the development of digital literacy skills of mathematics teachers and prospective teachers through Technology Assisted Education (TAE). In addition, the opinions of the teachers about the training were also…
Descriptors: Skill Development, Digital Literacy, Mathematics Teachers, Preservice Teachers
Godwin-Jones, Robert – Research-publishing.net, 2022
The use of chatbots in language learning has been on the rise. In recent Computer-Assisted Language Learning (CALL) research, there is a consensus that rule-based, scripted voice systems are optimal for language learning. Such systems integrate well into instructed language learning in that interactions with the user are predictable and…
Descriptors: Second Language Learning, Artificial Intelligence, Computer Assisted Instruction, Technology Uses in Education
Ryan Angga Pratama; Sedat Kanadli – Journal of Educational Technology, 2024
This study aims to determine the effectiveness of GeoGebra-assisted learning on students' mathematical representation through a meta-analysis study and possible moderator variables to moderate it. Experimental studies were obtained from Google Scholar and ERIC databases and then included in this meta-analysis study were 23 studies that met the…
Descriptors: Computer Software, Mathematics Education, Computer Assisted Instruction, Multimedia Materials
Learners' Use of Audio/Video Playback Controls in Technology-Enhanced Listening: A Systematic Review
Natalia Andrea Roldán-Mora; Mónica Stella Cárdenas-Claros – JALT CALL Journal, 2024
This systematic review investigates learner use of audio/video playback (AVP) controls in technology-enhanced listening environments. To this aim, 61 academic works produced from 2000-2021 underwent inclusion/exclusion criteria and were analyzed. The resulting corpus was made up of 16 peer-reviewed articles. We first situate the studies examined…
Descriptors: Technology Uses in Education, Audio Equipment, Video Technology, Feedback (Response)
Ignacio Villagran; Rocio Hernandez; Gregory Schuit; Andres Neyem; Javiera Fuentes-Cimma; Constanza Miranda; Isabel Hilliger; Valentina Duran; Gabriel Escalona; Julian Varas – IEEE Transactions on Learning Technologies, 2024
This article presents a controlled case study focused on implementing and using generative artificial intelligence, specifically large language models (LLMs), in physiotherapy education to assist instructors with formulating effective technology-mediated feedback for students. It outlines how these advanced technologies have been integrated into…
Descriptors: Artificial Intelligence, Physical Therapy, Technology Uses in Education, Case Studies
Kaur Kiran; Rohaida Mohd Saat; Lieven Demeester; Magdeleine Duan Ning Lew; Wei Leng Neo; Nopphol Pausawasdi; Thasaneeya Ratanaroutai Nopparatjamjomras – Contemporary Educational Technology, 2025
Online teaching during the COVID-19 pandemic compelled many instructors to seek efficient and effective ways to stay connected with their students and improve the learning experience by using a wide range of available technologies. This multiple-case study, in three South-East Asian universities, investigated whether the use of technology in…
Descriptors: Technology Uses in Education, Individualized Instruction, Computer Assisted Instruction, Web Based Instruction
Dubey, Pushkar; Sahu, Kailash Kumar – Journal of Research in Innovative Teaching & Learning, 2023
Purpose: Students' perception towards learning technologies in the disruptive times like coronavirus disease (2019) COVID-19 is what the educational institutes are striving to know so that the educational institutes could provide the best learning experiences to students. The present study attempts to identify the technology-enhanced learning…
Descriptors: Technology Uses in Education, Student Satisfaction, Educational Benefits, College Students
Masumeh Sadat Seyyedrezaei; Mohammad Amiryousefi; Ana Gimeno-Sanz; Mansoor Tavakoli – Computer Assisted Language Learning, 2024
In recent years, there has been an upsurge of interest in the use of computer technologies for L2 writing instruction. Many researchers have empirically investigated the effects of the applications of educational technologies on language learners' writing performance and have highlighted the effectiveness of the use of educational technology in…
Descriptors: Computer Assisted Instruction, English (Second Language), Second Language Instruction, Writing Skills
Noemi Mauro; Liliana Ardissono; Federica Cena; Livio Scarpinati; Gianluca Torta – International Journal of Artificial Intelligence in Education, 2024
Field trips enrich learning programs with out-of-school activities that can bring gains in students' academic content knowledge and personal growth. However, they are a source of anxiety for teachers because of the bureaucracy, pedagogy, etc., risks they imply. To address this issue, we propose FieldTripOrganizer, a field trip planner based on the…
Descriptors: Foreign Countries, Field Trips, Computer Assisted Instruction, Educational Planning
Charlotte Beal; Rolf Steier – International Journal of Computer-Supported Collaborative Learning, 2024
In this study, we investigate how pre-service teachers' group dialogues emerged and intersected across time and space as students collaboratively constructed a video-based mind map to prepare for oral exams in a pedagogy course. The study was conducted as part of a design-based research project investigating the ways that video-based mind maps can…
Descriptors: Video Technology, Technology Uses in Education, Cooperative Learning, Concept Mapping