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Arslan Selçuk, Semra; Mutlu Avinç, Günes – International Journal of Technology and Design Education, 2022
Biomimicry has been proposed as an important tool to reach key skills for the new century. It has taken its place as an essential resource for critical and creative thinking in design disciplines. However, as emphasized in many studies, bio-informed research requires interdisciplinary collaboration and systematic knowledge transfer. This article…
Descriptors: Natural Language Processing, Biology, Architectural Education, Building Design
Nur Basak Karatas; Oya Özemir; Jarrett T. Lovelett; Bora Demir; Kemal Erkol; João Veríssimo; Gülcan Erçetin; Michael T. Ullman – Language Teaching Research, 2025
We investigated whether learning and retaining vocabulary in a second language (L2) can be improved by leveraging a combination of memory enhancement techniques. Specifically, we tested whether combining retrieval practice, spacing, and related manipulations in a 'multidomain' pedagogical approach enhances vocabulary acquisition as compared to a…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Accuracy
Maria Dimeli; Apostolos Kostas – Journal of Information Technology Education: Research, 2025
Aim/Purpose: The purpose of this systematic review is to identify and analyze the current findings of empirical research on the use of ChatGPT in school and higher education. Background: As AI reshapes education, the adoption of ChatGPT has the potential to revolutionize teaching and learning in school and higher educational settings. Meanwhile,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Barriers
Thinley Wangdi; Karma Sonam Rigdel; Tashi Dawa; Kinga Tshering – Issues in Educational Research, 2025
In the last two years, there has been a significant increase in research studies on ChatGPT and its role in educational assessment. However, there is no comprehensive systematic literature review (SLR) on the potential use of ChatGPT for educational assessment, particularly with a focus on its practices and limitations. To address this gap, our…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Evaluation Methods
Bünyami Kayali; Mehmet Yavuz; Sener Balat; Mücahit Çalisan – Australasian Journal of Educational Technology, 2023
The purpose of this study was to determine university students' experiences with the use of ChatGPT in online courses. The sample consisted of 84 associate degree students from a state university in Turkey. A multi-method approach was used in the study. Although quantitative data were collected using the Chatbot Usability Scale, qualitative data…
Descriptors: Student Experience, Artificial Intelligence, Natural Language Processing, Electronic Learning
Fatih Karatas; Faramarz Yasar Abedi; Filiz Ozek Gunyel; Derya Karadeniz; Yasemin Kuzgun – Education and Information Technologies, 2024
ChatGPT, an artificial intelligence application, has emerged as a promising educational tool with a wide range of applications, attracting the attention of researchers and educators. This qualitative case study, chosen for its ability to provide an in-depth exploration of the nuanced effects of AI on the foreign language learning process within…
Descriptors: Artificial Intelligence, Second Language Learning, Natural Language Processing, Technology Uses in Education
Fatih Karatas; Erkan Yüce – International Review of Research in Open and Distributed Learning, 2024
The rapid advancement of artificial intelligence (AI) in education underscores transformative prospects for open and distributed learning, encompassing distance, hybrid, and blended learning environments. This qualitative study, grounded in narrative inquiry, investigates the experiences and perceptions of 141 preservice teachers engaged with AI,…
Descriptors: Artificial Intelligence, Futures (of Society), Preservice Teachers, Reflection
Xiaojing Weng; Qi Xia; Mingyue Gu; Kumaran Rajaram; Thomas K. F. Chiu – Australasian Journal of Educational Technology, 2024
Generative artificial intelligence (GenAI) impacts higher education assessment and learning outcomes, which are closely related and intertwined. Literature suggests that educators and researchers have many varied concerns regarding student assessment in the higher education GenAI context, such as how to assess students' learning and the new…
Descriptors: Evaluation Methods, Outcomes of Education, Artificial Intelligence, Natural Language Processing
Melike Bozca; Didem Koban Koç – Journal of Educational Technology and Online Learning, 2023
The purpose of the study is to investigate whether English as a foreign language (EFL) learners are more willing to communicate and study with the same partners or different partners in speaking activities in pairs or small groups and to determine whether there are similarities or differences in learners' views regarding the same and different…
Descriptors: Verbal Communication, Speech Communication, Electronic Learning, In Person Learning
Karabacak, Esra – Cypriot Journal of Educational Sciences, 2021
Texts appear as the highest level units in language teaching. Textlinguistics researchers have put forward the thesis that the largest linguistic unit is the text, not the sentence. The main purpose of this research is to determine the effect of using textlinguistic analysis method and its ability to aid students in understanding the texts in…
Descriptors: Teaching Methods, Language Processing, Reading Comprehension, Text Structure
Çetinavci, Ugur Recep – Eurasian Journal of Applied Linguistics, 2020
In terms of their directness and modification strategies, this study investigated how undergraduate speakers of Turkish formulate their naturally occurring requests in an academic context, in which they request things from an academic in his office. After a 4-year data collection period, the researcher analyzed 395 of the requests (hand-recorded…
Descriptors: Turkish, Speech Acts, Undergraduate Students, Pragmatics
Development of Digital Competence of Future Philologists: Case of Turkish and Ukrainian Universities
Liliya Baranovska; Iryna Simkova; Erman Akilli; Tetyana Tarnavska; Nataliia Glushanytsia – Advanced Education, 2023
The paper calls into question the development of the digital competence of future philologists, taking into account the Turkish and Ukrainian experiences. The study of digital competence development is attracting increasing interest due to a growing need for experts capable of processing the enormous streams of continuously transmitted information…
Descriptors: Linguistics, Digital Literacy, Cross Cultural Studies, Foreign Countries
Okyayuz, A. Sirin – Journal of Language and Linguistic Studies, 2019
Policies concerning language and culture are integral to the translators' work as they are an intrinsic part of the translation process. Thus, it becomes necessary to include a good bit of what could be referred to as 'policy cognizance', which could be defined as an understanding of the policies that mold the practice spanning from historical…
Descriptors: Translation, Audiovisual Aids, Teaching Methods, Second Languages
Demir, Cüneyt – Australian Journal of Applied Linguistics, 2020
Translation aims to transmit the original tone of the source text both syntactically and semantically accurate without losing the intent of a message. However, some syntactic considerations such as cases may pose a problem particularly if the source and target texts belong to different language typologies. Accordingly, this study investigated the…
Descriptors: Turkish, English (Second Language), Translation, Language Processing
Aydin, Burcu – Journal of Language and Linguistic Studies, 2019
This study examines the cognitive processes underlying the comprehension of L2 idiomatic expressions by using two different visual instructional techniques -- pictorial representation of literal meanings versus pictorial representation of figurative meanings of each idiomatic expression -- considering two settings (EFL vs. ESL), two different…
Descriptors: Language Processing, English (Second Language), Second Language Learning, Language Patterns
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