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Neda M. Maenza; Tijana Gajic – Research in Pedagogy, 2024
Innovative concepts coupled with cutting-edge digital advancements have ushered in a transformative era for English language learners worldwide. This research delves into the efficacy of the WordUp mobile application in facilitating the acquisition of new English vocabulary. The application has notably organized English words based on their…
Descriptors: Student Attitudes, English (Second Language), Second Language Learning, Second Language Instruction
Mubarak M. Aldawsari; Abdullah D. Alenezi; John I. Liontas – Reading Matrix: An International Online Journal, 2025
Artificial Intelligence (AI) has rapidly become a pivotal force in education, offering personalized learning pathways and dynamic solutions to longstanding instructional challenges. In English as a Foreign Language (EFL) contexts, idiomatic competence remains a challenging aspect of language development, often eluding effective coverage through…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Technology Integration
Julie Antilla-Garza – International Dialogues on Education, 2024
ChatGPT has experienced exponential growth in its number of users since its launch in November 2022. Researchers studying early adopters of the generative artificial intelligence (AI) chatbot have found positive reactions from those who have used ChatGPT for reading and writing. However, this research is still in its infancy and few studies exist…
Descriptors: Autism Spectrum Disorders, Story Telling, Reading Motivation, Artificial Intelligence
Bin Zou; Qinglang Lyu; Yining Han; Zijing Li; Weilei Zhang – Computer Assisted Language Learning, 2025
Adapted from the Technology Acceptance Model (TAM), the Integrated Model of Technology Acceptance (IMTA) has been used to examine the perceptions and acceptance of computer-assisted language learning (CALL), such as online learning, mobile learning, and learning management systems. However, whether IMTA can be applied to empirical research on…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Artificial Intelligence
Himel Mondal; Juhu Kiran Krushna Karri; Swaminathan Ramasubramanian; Shaikat Mondal; Ayesha Juhi; Pratima Gupta – Advances in Physiology Education, 2025
Large language models (LLMs)-based chatbots use natural language processing and are a type of generative artificial intelligence (AI) that is capable of comprehending user input and generating output in various formats. They offer potential benefits in medical education. This study explored the student's feedback on the utilization of LLMs in…
Descriptors: Computational Linguistics, Physiology, Teaching Methods, Artificial Intelligence
Jleian Mard M. Loseñara – Journal of Biological Education Indonesia (Jurnal Pendidikan Biologi Indonesia), 2025
Teacher professional development (TPD) programs enhance teachers' skills and competence. Since teachers are the primary beneficiaries, their perceptions are crucial in assessing TPD effectiveness and relevance, providing insights to improve future program design and evaluation. This study focused on Biology teachers, who were non-education…
Descriptors: Biology, Science Teachers, Teacher Attitudes, Science Instruction
Runtong He; De Dong – International Journal of Adult Education and Technology, 2024
With the enhancement of internet medium and development of science and technology, interactive technologies have gradually emerged in the field of language education. However, previous empirical studies and meta-analyses have focused on the impact of specific types of technologies. Therefore, this study aims to comprehensively synthesize the…
Descriptors: Meta Analysis, Second Language Learning, Second Language Instruction, Teaching Methods
Krochinak, Sarah; Cui, Sunny; Ajayi, Babatunde; Egonu, Remare; Kim, Esther – Science Insights Education Frontiers, 2023
With the advent of smartphones, laptops, and other various portable devices, the ability to incorporate technology into the classroom has increased dramatically in the last few decades. This study evaluates the perceptions and attitudes of both students and teachers in relation to mobile apps that assist in classroom learning. The research used a…
Descriptors: Secondary School Students, Secondary School Teachers, Student Attitudes, Teacher Attitudes
Decman, Mitja – International Journal of Higher Education, 2020
An increasing number of studies have addressed and proved the positive impact of classroom response systems (CRS) on learning performance in active learning environments but few focus on the parameters for the adoption and use of this technology in the classroom. This paper reviews research that has tested the parameters that influence the…
Descriptors: Student Participation, Predictor Variables, Audience Response Systems, Technology Integration
Maphosa, Vusumuzi; Dube, Bekithemba – Contemporary Educational Technology, 2021
The outbreak of the coronavirus disease (COVID-19) has caused unprecedented global socio-economic disruptions. One of the areas negatively impacted is the education system. The country's over reliance on traditional face-to-face teaching has brought about serious challenges to policymakers who have to decide how learning would proceed in the…
Descriptors: Numeracy, African Languages, Kindergarten, Young Children
Mukhtar, Saparuddin; Putri, K. Y. S. – Journal of Social Studies Education Research, 2021
This study aims to analyze the technology integrated into media literacy in higher education. This research uses a qualitative approach. The type of case study in this research is explanatory. Data collection was carried through interviews to analyze integrated technology to help students understand media literacy and student interest in using…
Descriptors: Technological Literacy, Technology Integration, Media Literacy, Social Media
Krochinak, Sarah; Cui, Sunny; Ajayi, Babatunde; Egonu, Remare; Kim, Esther – Online Submission, 2022
With the advent of smartphones, laptops, and other various portable devices, the ability to incorporate technology into the classroom has increased dramatically in the last few decades. This study evaluates the perceptions and attitudes of both students and teachers in relation to mobile apps that assist in classroom learning. The research used a…
Descriptors: Secondary School Students, Secondary School Teachers, Teacher Attitudes, Student Attitudes
Kankam, Philip Kwaku – Cogent Education, 2020
In Ghana, sandwich students are in accelerated programmes and education are offered to them during vacation periods. Like other forms of education, it has been found that the integration of mobile learning with sandwich programmes would be beneficial. However, the need to explore students' readiness and attitudes towards M-learning before its…
Descriptors: Telecommunications, Handheld Devices, Student Attitudes, Information Retrieval
Xue, Sijia; Churchill, Daniel – Educational Media International, 2020
This paper reports on a study designed to explore the educational affordances of mobile social media and how teachers' private theories mediate integration of the affordances in teaching practice in higher education in China. Four university teachers were included as cases for an in-depth inquiry in this study. Qualitative data were collected…
Descriptors: Teacher Attitudes, Case Studies, Computer Software, Content Analysis
Hanan Alkandari – Educational Process: International Journal, 2025
Background/purpose; There is an ongoing debate on the potentiality of using AI for educational purposes, ranging from some optimistic views that anticipate AI to continue changing the interface of language education on one side, to a more cautious camp questioning the efficacy of the issue. As a significant group of stakeholders in the educational…
Descriptors: Foreign Countries, Artificial Intelligence, Computer Software, Technology Integration

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