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Kotsopoulos, Donna; Makosz, Samantha; Zambrzycka, Joanna; Dickson, Brandon A. – Early Child Development and Care, 2021
An enduring challenge in visual-spatial research has been to identify the factors contributing to individual differences in ability. This research investigated the overall, verbal, and nonverbal visual-spatial ability of 61 (34 boys) three- to five-year-olds (M[subscript age] = 57.3 months; SD = 7.9) and the following factors known to be related…
Descriptors: Individual Differences, Spatial Ability, Visual Perception, Preschool Children
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Julia Matthes; Michael Schneider; Franzis Preckel – Journal of Educational Psychology, 2024
The relation between prior knowledge and learning has been investigated in many studies. However, a recent meta-analysis showed that most of these studies suffered from serious methodological shortcomings, as they failed to account for knowledge growth over time, possible ceiling effects for learners with high prior knowledge, moderating effects…
Descriptors: Prior Learning, Knowledge Level, Grade 5, Grade 6
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Yang Gao; Qikai Wang; Xiaochen Wang – Asia Pacific Journal of Education, 2024
Nowadays, the prevalence of ChatGPT and other Large Language Models (LLMs) has posed significant challenges into the education field, particularly in English education. In response, this study aimed to investigate the beliefs of 95 EFL university teachers from Chinese universities regarding the integration of LLMs in language education, as well as…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Teaching Methods
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Artur Strzelecki; Sara ElArabawy – British Journal of Educational Technology, 2024
This study delves into the implications of incorporating AI tools, specifically ChatGPT, in higher education contexts. With a primary focus on understanding the acceptance and utilization of ChatGPT among university students, the research utilizes the Unified Theory of Acceptance and Use of Technology (UTAUT) as the guiding framework. The…
Descriptors: Artificial Intelligence, Synchronous Communication, Technology Uses in Education, Student Behavior
Matthew Berland; Antero Garcia – MIT Press, 2024
Educational analytics tend toward aggregation, asking what a "normative" learner does. In "The Left Hand of Data," educational researchers Matthew Berland and Antero Garcia start from a different assumption--that outliers are, and must be treated as, valued individuals. Berland and Garcia argue that the aim of analytics should…
Descriptors: Justice, Learning Analytics, Data Use, Futures (of Society)
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Beck Wise; Lisa Emerson; Ariella Van Luyn; Bronwen Dyson; Collin Bjork; Susan E. Thomas – Higher Education Research and Development, 2024
Concerns about the role of technology and the quality of student writing in higher education are not new. Historically, writing scholars have been at the forefront of initiatives that scrutinise and integrate new technologies in higher education. This article contends that writing scholars are again uniquely equipped to assist students, teachers…
Descriptors: Scholarship, Writing (Composition), Integrity, Authors
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Randi Proska Sandra; Wu-Yuin Hwang; Afifah Zafirah; Uun Hariyanti; Engkizar Engkizar; Ahmaddul Hadi; Ahmad Fauzan – Journal of Educational Computing Research, 2024
Argumentative writing is a fundamental aspect of undergraduate students' academic and scientific writing related to critical thinking and problem-solving skills. However, previous studies have shown that students face various difficulties with argumentative writing, such as unclear and illogical ideas, less-structured arguments, and unbalanced…
Descriptors: Persuasive Discourse, Writing (Composition), Undergraduate Students, Writing Skills
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Katja Fleischmann – Canadian Journal of Learning and Technology, 2024
Generative Artificial Intelligence (GenAI) is re-defining the way higher education design is taught and learned. The explosive growth of GenAI in design practice demands that design educators ensure students are prepared to enter the design profession with the knowledge and experience of using GenAI. To facilitate GenAI's introduction in a…
Descriptors: Artificial Intelligence, Technology Uses in Education, Graphic Arts, Design
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Irene Spada; Vito Giordano; Filippo Chiarello; Marco Abate; Francesca M. Dovetto; Gualtiero Fantoni – Studies in Higher Education, 2024
In the last decade, the fast technological and social transformations have been placing new demands on Higher Education (HE) systems to update their educational offers. Grounded in the broader discourse on the impact of such transformation on HE, this article relies on Text Mining (TM). We consider as a case study the Italian HE system, providing…
Descriptors: Higher Education, Technological Advancement, Social Change, Intellectual Disciplines
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Tim Gander; Brendon Shaw – Journal of Technology and Teacher Education, 2024
In an era where artificial intelligence (AI) is rapidly transforming various sectors, including education, understanding how educators perceive and integrate AI into their teaching practices is crucial. This study addresses the growing need to explore educators' perspectives on AI's impact on education, particularly its implications for effective…
Descriptors: Artificial Intelligence, Teaching Methods, Teacher Attitudes, Foreign Countries
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Mario de la Puente; Jose Torres; Ana Laura Blanco Troncoso; Yuraima Yuliza Hernández Meza; Jenny Xiomara Marquez Carrascal – Smart Learning Environments, 2024
This study investigated the effectiveness of using ChatGPT, a large language model (LLM), to enhance critical thinking and argumentation skills among undergraduate students studying international relations in a developing nation context. A total of 95 participants were randomly assigned to an experimental group (n = 48) and a control group (n =…
Descriptors: Artificial Intelligence, Computer Uses in Education, Critical Thinking, Persuasive Discourse
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Jiahong Su; Weipeng Yang – ECNU Review of Education, 2024
Purpose: To align with the artificial intelligence and robotics (AIR) research and policy agenda, this paper puts forth an adapted five big ideas framework specifically tailored to teaching young children about artificial intelligence (AI) via robotics. Design/Approach/Methods: Grounded in early childhood education research, the proposed framework…
Descriptors: Artificial Intelligence, Robotics, Young Children, Integrated Curriculum
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Dan Wang – International Review of Research in Open and Distributed Learning, 2024
This study examines the effects of corrective feedback (CF) on language learners' writing anxiety, writing complexity, fluency, and accuracy, and compares the effectiveness of feedback from human teachers with an AI-driven application called Poe. The study included three intact classes, each with 25 language learners. Using a quasi-experimental…
Descriptors: Artificial Intelligence, Feedback (Response), Anxiety, Foreign Countries
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Selay Arkün-Kocadere; Seyma Çaglar-Özhan – International Review of Research in Open and Distributed Learning, 2024
Via AI video generators, it is possible to create educational videos with humanistic instructors by simply providing a script. The characteristics of video types and features of instructors in videos impact video engagement and, consequently, performance. This study aimed to compare the impact of human instructors and AI-generated instructors in…
Descriptors: Video Technology, Lecture Method, Artificial Intelligence, Animation
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Salih Rakap – Journal of Special Education Technology, 2024
Novice special education teachers often face challenges in developing high-quality Individualized Education Program (IEP) goals for children with autism. The use of artificial intelligence (AI) tools, such as ChatGPT, has shown potential in supporting teachers in IEP development. This study aimed to investigate the impact of ChatGPT on the…
Descriptors: Special Education Teachers, Beginning Teachers, Individualized Education Programs, Autism Spectrum Disorders
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