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Andrés Buxó-Lugo; L. Robert Slevc – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2024
Interpreting a sentence can be characterized as a rational process in which comprehenders integrate linguistic input with top-down knowledge (e.g., plausibility). One type of evidence for this is that comprehenders sometimes reinterpret sentences to arrive at interpretations that conflict with the original language input. Does this reflect a…
Descriptors: Sentences, Comprehension, Syntax, Sentence Structure
Kate Cockcroft – International Journal of Multilingualism, 2024
Investigations of working memory advantages in bilinguals yield inconsistent findings. Even less is known about how the addition of languages beyond two (multilingualism) may affect working memory. Due to their experience with managing multiple languages, it is possible that multilinguals may be more practised in the use of their working memories.…
Descriptors: Short Term Memory, Multilingualism, Foreign Countries, Intelligence
Galit Agmon; Sameer Pradhan; Sharon Ash; Naomi Nevler; Mark Liberman; Murray Grossman; Sunghye Cho – Journal of Speech, Language, and Hearing Research, 2024
Purpose: Multiple methods have been suggested for quantifying syntactic complexity in speech. We compared eight automated syntactic complexity metrics to determine which best captured verified syntactic differences between old and young adults. Method: We used natural speech samples produced in a picture description task by younger (n = 76, ages…
Descriptors: Young Adults, Older Adults, Undergraduate Students, Caregivers
Taskeen Hasrod; Yannick B. Nuapia; Hlanganani Tutu – Journal of Chemical Education, 2024
In order to improve the accessibility and user friendliness of an accurately pretrained stacking ensemble machine learning regressor used to predict sulfate levels (mg/L) in Acid Mine Drainage (AMD), a Graphical User Interface (GUI) was developed using Python by combining human input with ChatGPT and deployed in the Jupyter Notebook environment.…
Descriptors: Artificial Intelligence, Natural Language Processing, Educational Technology, Computer Software
Matthew T. McCrudden; Linh Huynh; Bailing Lyu; Jonna M. Kulikowich; Danielle S. McNamara – Grantee Submission, 2024
Readers build a mental representation of text during reading. The coherence building processes readers use to build a mental representation during reading is key to comprehension. We examined the effects of self- explanation on coherence building processes as undergraduates (n =51) read five complementary texts about natural selection and…
Descriptors: Reading Processes, Reading Comprehension, Undergraduate Students, Evolution
Exploring Intention of Undergraduate Students to Embrace Chatbots: From the Vantage Point of Lesotho
Musa Adekunle Ayanwale; Rethabile Rosemary Molefi – International Journal of Educational Technology in Higher Education, 2024
The increasing prevalence of Fourth Industrial Revolution (4IR) technologies has led to a surge in the popularity of AI application tools, particularly chatbots, in various fields, including education. This research explores the factors influencing undergraduate students' inclination to embrace AI application tools, specifically chatbots, for…
Descriptors: Undergraduate Students, Intention, Student Attitudes, Artificial Intelligence
Hung Manh Nguyen; Daisaku Goto – Education and Information Technologies, 2024
The proliferation of artificial intelligence (AI) technology has brought both innovative opportunities and unprecedented challenges to the education sector. Although AI makes education more accessible and efficient, the intentional misuse of AI chatbots in facilitating academic cheating has become a growing concern. By using the indirect…
Descriptors: Academic Achievement, Cheating, Student Behavior, Artificial Intelligence
Olga Riezina; Larysa Yarova – Turkish Journal of Education, 2024
The aim of this study was to share our experience of developing a digital Natural Language Processing Tool and its implementation in the process of training future linguists. In this article, we demonstrate the process of creating the web application SENTIALIZER, which is a multilingual Sentiment Analysis Tool developed with the help of the Python…
Descriptors: Foreign Countries, Undergraduate Students, Linguistics, Technology Uses in Education
Tianlong Zhong; Gaoxia Zhu; Chenyu Hou; Yuhan Wang; Xiuyi Fan – Education and Information Technologies, 2024
The significance of interdisciplinary learning has been well-recognized by higher education institutions. However, when teaching interdisciplinary learning to junior undergraduate students, their limited disciplinary knowledge and underrepresentation of students from some disciplines can hinder their learning performance. ChatGPT's ability to…
Descriptors: Influences, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
Ymkje E. Haverkamp; Ivar Bråten – Literacy Research and Instruction, 2024
This study used a correlational design and a path analytic approach to investigate direct and indirect relationships between strategic backtracking and integrated text understanding when undergraduates read a digital informational text on a tablet or a smartphone. In digital reading contexts, strategic backtracking involves that readers…
Descriptors: Electronic Publishing, Handheld Devices, Reading Comprehension, Reading Strategies
Sha Gao – International Review of Research in Open and Distributed Learning, 2024
Artificial Intelligence (AI), as an innovation in technology, has greatly affected human life. AI applications such as ChatGPT have been used in different fields, particularly education. However, the use of AI applications to enhance undergraduate students' academic emotions and test anxiety has not been appropriately investigated. This study…
Descriptors: Artificial Intelligence, Undergraduate Students, Test Anxiety, Technology Uses in Education
Chuanli Zang; Ying Fu; Hong Du; Xuejun Bai; Guoli Yan; Simon P. Liversedge – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2024
Arguably, the most contentious debate in the field of eye movement control in reading has centered on whether words are lexically processed serially or in parallel during reading. Chinese is character-based and unspaced, meaning the issue of how lexical processing is operationalized across potentially ambiguous, multicharacter strings is not…
Descriptors: Chinese, Reading Processes, Language Processing, Phrase Structure
Greeni Maheshwari – Education and Information Technologies, 2024
ChatGPT, an extensively recognised language model created by OpenAI, has gained significant prominence across various industries, particularly in education. This study aimed to investigate the factors that influence students' intentions to adopt and utilise ChatGPT for their academic studies. The study used a Structural Equation Model (SEM) for…
Descriptors: Influences, Intention, Artificial Intelligence, Natural Language Processing
Donald M. Johnson; Will Doss; Christopher M. Estepp – Journal of Research in Technical Careers, 2024
A posttest-only control group experimental design compared novice Arduino programmers who developed their own programs (self-programming group, n = 17) with novice Arduino programmers who used ChatGPT 3.5 to write their programs (ChatGPT-programming group, n = 16) on the dependent variables of programming scores, interest in Arduino programming,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Novices
Alexandra Farazouli; Teresa Cerratto-Pargman; Klara Bolander-Laksov; Cormac McGrath – Assessment & Evaluation in Higher Education, 2024
AI chatbots have recently fuelled debate regarding education practices in higher education institutions worldwide. Focusing on Generative AI and ChatGPT in particular, our study examines how AI chatbots impact university teachers' assessment practices, exploring teachers' perceptions about how ChatGPT performs in response to home examination…
Descriptors: Artificial Intelligence, Natural Language Processing, Student Evaluation, Educational Change