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Lei Du; Beibei Lv – Education and Information Technologies, 2024
This research examines the influence of integrating generative artificial intelligence (GAI) in education, focusing on its acceptance and utilization among elementary education students. Grounded in the Task-Technology Fit (TTF) Theory and an expanded iteration of the Unified Theory of Acceptance and Use of Technology (UTAUT) model, the study…
Descriptors: Influences, Student Attitudes, Artificial Intelligence, Technology Uses in Education
Unggi Lee; Yeil Jeong; Junbo Koh; Gyuri Byun; Yunseo Lee; Youngsun Hwang; Hyeoncheol Kim; Cheolil Lim – Educational Technology & Society, 2024
Debate is a universally acknowledged competency for its vital role in fostering essential skills such as analytical reasoning, eloquent communication, and persuasive argument construction. This is relevant in both formal educational settings like classrooms and informal venues such as after-school clubs. Traditional debate training methods often…
Descriptors: Artificial Intelligence, Debate, Computer Oriented Programs, Technology Uses in Education
James Ewert Duah; Paul McGivern – International Journal of Information and Learning Technology, 2024
Purpose: This study examines the impact of generative artificial intelligence (GenAI), particularly ChatGPT, on higher education (HE). The ease with which content can be generated using GenAI has raised concerns across academia regarding its role in academic contexts, particularly regarding summative assessments. This research makes a unique…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Technology Uses in Education
Lee McCallum – Journal for Multicultural Education, 2024
Purpose: This paper aims to present a lesson that showcases how artificial intelligence (AI) tools may be chiefly used in L2 language classrooms to design culture-focussed telecollaboration tasks and aid their completion by students. Design/methodology/approach: The paper begins by reviewing traditional approaches and guidance for developing…
Descriptors: Artificial Intelligence, Intercultural Communication, Second Language Learning, Telecommunications
Raj Sandu; Ergun Gide; Mahmoud Elkhodr – Discover Education, 2024
Artificial intelligence (AI) tools, notably ChatGPT, are increasingly recognised for their transformative potential in higher education. This study employs a detailed case study approach complemented by a survey, delving into ChatGPT's impact on pedagogical practices, student engagement, and academic performance. It involved 74 undergraduate and…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Foreign Countries
Dorottya Demszky; Jing Liu; Heather C. Hill; Dan Jurafsky; Chris Piech – Educational Evaluation and Policy Analysis, 2024
Providing consistent, individualized feedback to teachers is essential for improving instruction but can be prohibitively resource-intensive in most educational contexts. We develop M-Powering Teachers, an automated tool based on natural language processing to give teachers feedback on their uptake of student contributions, a high-leverage…
Descriptors: Online Courses, Automation, Feedback (Response), Large Group Instruction
Jiaxin Cui; Fan Yang; Yuanyi Peng; Saisai Wang; Xinlin Zhou – Infant and Child Development, 2024
Symbolic and situational mathematics are the two major representations of mathematical knowledge. Although previous literature has studied the relationship between the two from the perspective of teaching practice, learning effectiveness and behavioural performance, there is still a lack of empirical psychological research on cognitive mechanisms…
Descriptors: Mathematics Education, Symbols (Mathematics), Learning Processes, Elementary School Mathematics
Pedro Isaias, Editor; Demetrios G. Sampson, Editor; Dirk Ifenthaler, Editor – Cognition and Exploratory Learning in the Digital Age, 2024
The Cognition and Exploratory Learning in the Digital Age (CELDA) conference focuses on discussing and addressing the challenges pertaining to the evolution of the learning process, the role of pedagogical approaches and the progress of technological innovation, in the context of the digital age. In each edition, CELDA, gathers researchers and…
Descriptors: Artificial Intelligence, Cognitive Processes, Discovery Learning, Teaching Methods
Putu Aditya Antara; I Made Agus Wirawan; Putu Rahayu Ujianti; Made Vina Arie Paramita; Rendy Setyowahyudi; Ni Putu Sinta Dewi – International Journal of Language Education, 2024
The main objective of this study was to explore the effectiveness of combining Balinese Gamelan music with sensorimotor rhythm intervention in improving brain wave synchronization and language processing abilities in autistic children. This study used a qualitative method with an ethnographic case study approach to explore how the integration of…
Descriptors: Foreign Countries, Musical Instruments, Music Activities, Folk Culture
Marcel Mierwald – Journal of Educational Media, Memory and Society, 2024
Generative artificial intelligence (AI) offers new opportunities for history education, such as the ability to chat with historical figures. However, little is known about pupils' interaction with AI applications such as ChatGPT. A qualitative case study was conducted to explore how pupils (n = 21, year nine, fourteen years old) interacted with…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, History Instruction
Tangtorrith, Nipaporn; Rattanamathuwong, Bancha – rEFLections, 2021
This article discusses the English-to-Thai translations of two contemporary novels: "Room" by Emma Donoghue and "The Boy in the Striped Pyjamas" by John Boyne. These two selected texts present some linguistic challenges to the translators because of the narrations which are meant to reveal the innocent perspectives of young…
Descriptors: Case Studies, Translation, Novels, English
Letchford, Lois; Rasinski, Timothy – Reading Teacher, 2021
"Little" words often carry complex meanings. Pronoun resolution is an essential component of comprehension. Skilled readers work to maintain text cohesion (i.e., they resolve the pronouns as needed.) Less proficient readers often are not as proficient in resolving pronouns. Limited pronoun resolution limits comprehension. This article…
Descriptors: Form Classes (Languages), Reading Comprehension, Reading Instruction, Teaching Methods
Garofalo, Gioacchino; Marino, Barbara F. M.; Bellelli, Stefano; Riggio, Lucia – Cognitive Science, 2021
We performed three experiments to investigate whether adjectives can modulate the sensorimotor activation elicited by nouns. In Experiment 1, nouns of graspable objects were used as stimuli. Participants had to decide if each noun referred to a natural or artifact, by performing either a precision or a power reach-to-grasp movement. Response grasp…
Descriptors: Nouns, Form Classes (Languages), Reaction Time, Psychomotor Skills
van Schijndel, Marten; Linzen, Tal – Cognitive Science, 2021
The disambiguation of a syntactically ambiguous sentence in favor of a less preferred parse can lead to slower reading at the disambiguation point. This phenomenon, referred to as a garden-path effect, has motivated models in which readers initially maintain only a subset of the possible parses of the sentence, and subsequently require…
Descriptors: Syntax, Ambiguity (Semantics), Reading Processes, Linguistic Theory
Vogelzang, Margreet; Guasti, Maria Teresa; van Rijn, Hedderik; Hendriks, Petra – Cognitive Science, 2021
Reduced forms such as the pronoun "he" provide little information about their intended meaning compared to more elaborate descriptions such as "the lead singer of Coldplay." Listeners must therefore use contextual information to recover their meaning. Across languages, there appears to be a trade-off between the informativity…
Descriptors: Children, Cognitive Processes, Language Processing, Form Classes (Languages)