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Rustam Shadiev; Xuan Chen; Fahriye Altinay – Journal of Computer Assisted Learning, 2024
Background: Our study analysed 46 articles on computer-aided translation (CAT) and its educational uses. We explored two main areas: CAT technologies in learning and teaching, and the research methodologies of these studies. Objectives: Our review covered the types of CAT technologies used, their applications in different learning settings,…
Descriptors: Translation, College Students, Computer Assisted Instruction, Computer Software Evaluation
Chen, Teresa; Hsu, Hui-Mei; Stamm, Sheila Wright; Yeh, Ronnie – E-Learning and Digital Media, 2019
The purpose of this study was to identify salient features for a critical thinking app and create an instrument to facilitate the app evaluation and selection process. Two questions guided the study: (1) What distinguishes critical thinking instructional apps from others? and (2) What design principles are essential to develop a critical thinking…
Descriptors: College Students, Student Evaluation, Evaluation Methods, Critical Thinking
Ming Li; Ariunaa Enkhtur; Beverley Anne Yamamoto; Fei Cheng; Lilan Chen – Open Praxis, 2025
Generative Artificial Intelligence (GAI) models, such as ChatGPT, may inherit or amplify societal biases due to their training on extensive datasets. With the increasing usage of GAI by students, faculty, and staff in higher education institutions (HEIs), it is urgent to examine the ethical issues and potential biases associated with this…
Descriptors: Artificial Intelligence, Ethics, Technology Integration, Computer Software
Novak, Matija; Joy, Mike; Kermek, Dragutin – ACM Transactions on Computing Education, 2019
Teachers deal with plagiarism on a regular basis, so they try to prevent and detect plagiarism, a task that is complicated by the large size of some classes. Students who cheat often try to hide their plagiarism (obfuscate), and many different similarity detection engines (often called plagiarism detection tools) have been built to help teachers.…
Descriptors: Plagiarism, Computer Software, Computer Software Evaluation, College Students
Ana Isabel Santos; Sandro Serpa – International Society for Technology, Education, and Science, 2023
Artificial intelligence has potentiated changes in higher education. In this position paper, we propose to discuss dimensions that shape higher education and that can be transformed by the mobilization of Artificial Intelligence: teaching-learning processes (from the perspectives of scholars and students), research (from the perspective of…
Descriptors: Artificial Intelligence, Higher Education, Educational Change, Teaching Methods
Marjan Ebadijalal; Nouroddin Yousofi – Computer Assisted Language Learning, 2024
The current mixed-methods study aimed at incorporating a virtual reality (VR) tool (i.e. Google Expeditions) into the writing process of Iranian English as a foreign language (EFL) learners, examining its impact on their writing motivation and performance. To that end, 42 EFL learners were randomly assigned to experimental and control groups,…
Descriptors: Computer Software, Maps, Geography, English (Second Language)
Paterson, Kate – TESOL Journal, 2023
Multiple studies have shown that language learners and other students undertaking postsecondary studies in an additional language (L2) consult digital translation tools to complete course-related work despite general disapproval of their use by instructors. Significant improvements in the accuracy of machine translation (MT) along with their…
Descriptors: Translation, Computational Linguistics, Second Language Learning, Second Language Instruction
Kouser, Shazia; Popat, Shilpa S. – Online Submission, 2022
In the present study, the researcher has reviewed the existing literature from the previous research on Infrastructure and Application of ICT in Higher Education. The researcher carried out an intensive search on various publications and databases websites and finalized fifteen papers for carrying out the literature review. The literature review…
Descriptors: Information Technology, Higher Education, Electronic Learning, Web 2.0 Technologies
Tichaona Buzy Musikavanhu; Elizabeth Isabel Scheepers – Acta Educationis Generalis, 2024
Introduction: The COVID-19 pandemic has accelerated the transition to online learning, with synchronous e-learning becoming a critical modality in higher education institutions (HEIs) worldwide. This shift, while ensuring educational continuity, has unveiled numerous challenges, especially in developing nations where resources and infrastructure…
Descriptors: Synchronous Communication, Electronic Learning, Barriers, College Students
Sánchez-Pérez, María Angélica; Castilla, Magda Mildreth Rodríguez; Peñaranda, Marta Milena Peñaranda; Castrillon, Sir-Alexci Suarez – Journal of Language and Linguistic Studies, 2022
This is a qualitative research article; a systematic review of more than 15 texts was carried out. Its objective is to identify the findings related to educational strategies during the COVID-19 pandemic in studies published since 2020. The research is based on the subjective knowledge of the strategies that were implemented in the educational…
Descriptors: Educational Strategies, COVID-19, Pandemics, Research Reports
Reading Matrix: An International Online Journal, 2025
This systematic review examines 22 studies (2024-2025) on the use of generative AI, primarily ChatGPT, for providing feedback in English writing instruction for language learners. It identifies the types of feedback AI offers, its effectiveness relative to teacher and peer feedback, and perceptions from students and teachers. Findings show AI…
Descriptors: Writing Instruction, Teaching Methods, English (Second Language), Second Language Learning
Zhai, Na; Ma, Xiaomei – Journal of Educational Computing Research, 2023
Automated writing evaluation (AWE) has been frequently used to provide feedback on student writing. Many empirical studies have examined the effectiveness of AWE on writing quality, but the results were inconclusive. Thus, the magnitude of AWE's overall effect and factors influencing its effectiveness across studies remained unclear. This study…
Descriptors: Writing Evaluation, Feedback (Response), Meta Analysis, English (Second Language)
Reyna, Jorge; Meier, Peter – IAFOR Journal of Education, 2018
Learner-Generated Digital Media (LGDM) in tertiary science education focuses on research skills, inquiry, active learning, teamwork, and collaboration. LGDM across disciplines is under-theorised, under-researched, and only in its early development. This paper evaluates the research in the field of LGDM in tertiary science education. The literature…
Descriptors: College Science, College Students, Science Instruction, Educational Technology
Pinto, Marta; Leite, Carlinda – Digital Education Review, 2020
Digital technologies are an integral part of Higher Education teaching, revealing a set of technologies chosen to integrate formal learning contexts, and therefore being used by students in support of learning. This paper presents a literature review mapping the digital technologies set for higher education students to use in formal education…
Descriptors: Educational Technology, Technology Uses in Education, College Students, Higher Education
Perez-Encinas, Adriana; Rodriguez-Pomeda, Jesus – Journal of Studies in International Education, 2018
In this article, we analyze international students' perceptions of their needs when going abroad. The trend toward internationalization and the increase in mobility drives the agenda for globalization in many higher education institutions, and in some cases without any clear strategy for identifying the possible needs of international students.…
Descriptors: Foreign Students, Student Attitudes, Student Needs, Student Mobility
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