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Muna Barakat; Nesreen A. Salim; Malik Sallam – Open Praxis, 2025
Integration of ChatGPT into higher education requires assessing university educators' perspectives regarding this novel technology. This study aimed to validate a survey instrument specifically tailored to assess ChatGPT usability and acceptability among university educators based on the Technology Acceptance Model (TAM). The survey instrument…
Descriptors: College Faculty, Teacher Attitudes, Artificial Intelligence, Man Machine Systems
Leen Adel Gammoh – Journal of Further and Higher Education, 2024
ChatGPT, a user-friendly and accessible AI tool, offers a revolutionary approach to academic learning. In spite of its benefits, the implementation of ChatGPT into university assignments presents possible risks for students. While extensive global research has studied these risks from students' perspectives, a notable gap exists in comprehending…
Descriptors: Artificial Intelligence, Natural Language Processing, Risk, Barriers
Promethi Das Deep; Yixin Chen – Higher Education Studies, 2025
The COVID-19 pandemic significantly disrupted higher education. The sudden and profound transformations it necessitated had a direct and negative impact on higher education students, as evidenced by the widely reported instances of academic disengagement, decreased motivation, and lower performance. This was often due to student burnout caused by…
Descriptors: COVID-19, Pandemics, Electronic Learning, Fatigue (Biology)
Hamza Polat; Arif Cem Topuz; Mine Yildiz; Elif Taslibeyaz; Engin Kursun – International Journal of Technology in Education, 2024
ChatGPT has become a prominent tool for fostering personalized and interactive learning with the advancements in AI technology. This study analyzes 212 academic research articles indexed in the Scopus database as of July 2023. It maps the trajectory of educational studies on ChatGPT, identifying primary themes, influential authors, and…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Bibliometrics
Manaf Al-Okaily – Education and Information Technologies, 2025
ChatGPT a state-of-the-art language model created by Open Artificial Intelligence (AI), can revolutionize education by improving student engagement and making learning more personalized. Consequently, the study's purpose is to evaluate the antecedent factors that the influence usage and continuance usage of a recently introduced AI-based tool…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Resources, Educational Technology
Hanadi Aldreabi; Nisreen Kareem Salama Dahdoul; Mohammad Alhur; Nidal Alzboun; Najeh Rajeh Alsalhi – Electronic Journal of e-Learning, 2025
The examination of the impact of Generative AI (GenAI) on higher education, especially from the viewpoint of students, is gaining significance. Although prior research has underscored GenAI's potential advantages in higher education, there exists a discernible research gap concerning the determinants that affect its adoption. In the present study,…
Descriptors: Student Behavior, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
Anas Husain – Journal of Information Technology Education: Research, 2024
Aim/Purpose: This study aims to investigate the perceptions of programming instructors among the Information Technology faculty members at AL al-Bayt University regarding the effectiveness of ChatGPT in supporting the programming instructional process. This study also aims to explore their experiences concerning the potential benefits and adverse…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Programming
Baker Bani Khair; Abdullah K. Shehabat; Ali M. Alnawaiseh; Issam Mostafa Taamneh; Tariq Jameel Alsoud; Firas Abu Hardan – Eurasian Journal of Applied Linguistics, 2024
Despite the progress in information technology, artificial intelligence as well as all kinds of machine translation software, we found that to dynamically capture the essence and the spirit of the cultural item, one needs to resort to the human mind rather than to the machine that only decodes words away from their shades of meaning. The objective…
Descriptors: Translation, Semantics, Artificial Intelligence, Computational Linguistics
Rabab Ahmad Mizher; Kholoud Hussein Amoush; Bandar Khalil Mukattash – rEFLections, 2025
This paper attempted to investigate the relationship between English major learners' use of metacognitive strategies of listening to overcome the difficulties they face while learning listening skills at Al-Balqa Applied University (BAU). The data was collected by administering an online Microsoft Form questionnaire to 168 first-year English major…
Descriptors: Correlation, Listening Comprehension, Metacognition, Majors (Students)
Alaa Al-Maani; Shayne Sloggett; Nino Grillo; Heather Marsden – Studies in Second Language Acquisition, 2024
This study expands on previous research into filler-gap dependency processing in second language (L2) English, by means of a replication of Canales's (2012) self-paced reading study. Canales, among others, found that advanced L2-English speakers exhibited the same processing behavior that Stowe (1986) found for native English processing: On…
Descriptors: Language Proficiency, Second Language Learning, Second Language Instruction, Language Processing
Issa, Iyad – Journal of Psycholinguistic Research, 2023
Spelling poses a challenge to Arabic-speaking learners due to the complexity of the morphological and orthographic systems in Arabic. Arabic morphology has been argued to play a critical role in spelling since its morphological operations are built on a system consisting of a root that is interlocking into different patterns of vowels to form…
Descriptors: Morphology (Languages), Spelling, Arabic, Written Language
Rabab'ah, Ghaleb; Kessar, Sara; Abusalim, Nimer – Journal of Psycholinguistic Research, 2023
The prominent role of allophonic cues in English speech segmentation has widely been recognized by phonologists and psycholinguists. However, very meager inquiry was devoted to analysing the perception of these noncontrastive allophonic cues by Arab EFL learners. Accordingly, the present study is an attempt to examine the exploitation of…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Psycholinguistics
Khetam Shraideh – International Society for Technology, Education, and Science, 2023
Youth make up over half of Jordan's population, and almost half of them are unemployed. Young people experience apathy and frustration due to a lack of employment opportunities and an education system that does not prepare them for the workforce. In Jordanian Higher Education Institutions, student success is our focus. However, we still follow a…
Descriptors: Translation, Professional Education, Language Processing, Second Languages
Bassil Mashaqba; Anas Huneety; Abdallah Alshdaifat; Wafa'a Abu Aisheh – Eurasian Journal of Applied Linguistics, 2023
This study examined the developmental trajectories of Arabic grammatical number in Arabic-English bilingual children. The samples consisted of 80 individuals (40 monolingual children residing in Jordan and 40 bilingual children residing in the USA), aged between 5 and 9 years. Data was collected through two tasks involving picture able objects and…
Descriptors: Grammar, Arabic, Language Acquisition, Accuracy

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