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Mara Cotic; Daniel Doz; Matija Jenko; Amalija Žakelj – International Electronic Journal of Mathematics Education, 2024
The evolution of mathematics coincided with advancements in its teaching. The 19th and 20th centuries marked a pedagogical revolution in mathematics education. This paper argues that Bruner's (1966) model, Gagné's (1985) taxonomy, innovative teaching methods emphasizing research and problem-solving, and the inclusion of data analysis topics have…
Descriptors: Mathematics Education, Mathematics Instruction, Educational History, Mathematics Achievement
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Rahime Çiçek – Online Submission, 2024
The current study was conducted to determine the attitudes of preservice preschool teachers toward artificial intelligence and to identify their views on AI and its application in education. This study was conducted using a sequential mixed methods design. Initially, the attitudes of 145 preservice preschool teachers toward artificial intelligence…
Descriptors: Preschool Teachers, Preservice Teacher Education, Teacher Education Programs, Student Attitudes
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Tanjea Ane; Tabatshum Nepa – Research on Education and Media, 2024
Precision education derives teaching and learning opportunities by customizing predictive rules in educational methods. Innovative educational research faces new challenges and affords state-of-the-art methods to trace knowledge between the teaching and learning ecosystem. Individual intelligence can only be captured through knowledge level…
Descriptors: Artificial Intelligence, Prediction, Models, Teaching Methods
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Seow Yongzhi – IAFOR Journal of Education, 2024
Humanities education in Singapore at the secondary level emphasises the inquiry-based learning pedagogical approach to engage students, inculcate critical thinking skills, and achieve the necessary knowledge and skills outcomes stipulated by the national curriculum. Inquiry-based learning is structured by a Humanities inquiry cycle involving four…
Descriptors: Debate, Teaching Methods, Artificial Intelligence, Humanities Instruction
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Hanrui Gao; Yi Zhang; Gwo-Jen Hwang; Sunan Zhao; Ying Wang; Kang Wang – Education and Information Technologies, 2024
Artificial Intelligence (AI) education in primary schools has received a great deal of attention globally, and it is thus important to investigate primary school students' perceptions and understanding of AI learning. Therefore, in this study, 673 drawings of conceptions of AI learning by third to sixth grade students were collected. Firstly, a…
Descriptors: Elementary School Students, Student Attitudes, Artificial Intelligence, Freehand Drawing
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Dongkwang Shin; Jang Ho Lee – Education and Information Technologies, 2024
In recent years, various strategies have been employed to integrate ChatGPT into the field of second language (L2) teaching and learning. In line with such efforts, this study investigates the potential of ChatGPT as an automated writing evaluation (AWE) tool for L2 assessment, given the lack of systematic and quantitative investigation into human…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Second Language Instruction
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Alberto Grájeda; Johnny Burgos; Pamela Córdova; Alberto Sanjinés – Cogent Education, 2024
This study aims to assess the adoption and impact of Artificial Intelligence (A.I.) tools in higher education, focusing on a private university in Latin America. Guided by the question, "What is the impact, as perceived by university students, of using Artificial Intelligence tools on various dimensions of learning and teaching within the…
Descriptors: Foreign Countries, College Students, Artificial Intelligence, Student Attitudes
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Darwin; Diyenti Rusdin; Nur Mukminatien; Nunung Suryati; Ekaning D. Laksmi; Marzuki – Cogent Education, 2024
This study aimed to provide an in-depth understanding of English as a Foreign Language (EFL) students' perceptions concerning both the benefits and limitations of Artificial Intelligence (AI) in the context of critical thinking. Utilizing a qualitative research design that focuses on case studies and employs semi-structured interviews, seven…
Descriptors: Critical Thinking, Artificial Intelligence, English (Second Language), Second Language Learning
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Jaber Kamali; Muhammet Furkan Alpat; Aras Bozkurt – International Journal of Educational Technology in Higher Education, 2024
This study explores university educators' perspectives on their alignment with artificial intelligence (AI) ethics, considering activity theory (AT), which forms the theoretical underpinning of this study. To do so, 37 educators from a higher education institution were selected to write their metaphors about AI ethics alignment, out of which 11…
Descriptors: Artificial Intelligence, Ethics, College Faculty, Teacher Attitudes
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Ishteyaaq Ahmad; Sonal Sharma; Rajesh Singh; Anita Gehlot; Lovi Raj Gupta; Amit Kumar Thakur; Neeraj Priyadarshi; Bhekisipho Twala – Cogent Education, 2024
This study explores the potential benefits of integrating Industry 4.0 technologies into educational settings, focusing on Artificial Intelligence/Machine Learning, Augmented Reality, Big Data, Blockchain, Cloud Computing, Internet of Things, Metaverse, Robotics, and Virtual Reality. The aim is to develop learning environments that are more…
Descriptors: Student Diversity, Inclusion, Technology Uses in Education, Educational Technology
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Nesra Yannier; Scott E. Hudson; Henry Chang; Kenneth R. Koedinger – International Journal of Artificial Intelligence in Education, 2024
Adaptivity in advanced learning technologies offer the possibility to adapt to different student backgrounds, which is difficult to do in a traditional classroom setting. However, there are mixed results on the effectiveness of adaptivity based on different implementations and contexts. In this paper, we introduce AI adaptivity in the context of a…
Descriptors: Artificial Intelligence, Computer Software, Feedback (Response), Outcomes of Education
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Sari Atmini; Ruzita Jusoh; Arum Prastiwi; Setyo Tri Wahyudi; Kurniasari Novi Hardanti; Nadafajar Nurmani'ah Widiarti – Cogent Education, 2024
This research investigates the factors influencing plagiarism from the perspective of the fraud diamond framework. It aims to obtain empirical evidence that higher pressure, opportunity, rationalization, and competencies influence an increase in plagiarism. Currently, information technology has rapidly advanced, and artificial intelligence has…
Descriptors: Plagiarism, Accounting, Deception, Guidelines
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Yipeng Zhao; Yan Li; Yuyao Xiao; Haodong Chang; Bo Liu – SAGE Open, 2024
The swift incorporation of artificial intelligence (AI) into higher education has significantly propelled the digital transformation of education. This advancement is crucial for educators aiming to augment teaching quality through AI technologies, such as ChatGPT. However, the acceptance of ChatGPT among college students remains underexplored.…
Descriptors: Influences, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
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Galit Wellner; Ilya Levin – Learning, Media and Technology, 2024
The paper proposes a framework for thinking about digital technologies, including AI, in education. The framework combines Don Ihde's postphenomenology and Seymour Papert's constructionism. The former is rooted in the philosophy of technology, the latter -- in education and technology. The intersections between the two theories have been mentioned…
Descriptors: Philosophy, Children, Phenomenology, Constructivism (Learning)
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Christophe O. Soulage; Fabien Van Coppenolle; Fitsum Guebre-Egziabher – Advances in Physiology Education, 2024
Artificial intelligence (AI) has gained massive interest with the public release of the conversational AI "ChatGPT," but it also has become a matter of concern for academia as it can easily be misused. We performed a quantitative evaluation of the performance of ChatGPT on a medical physiology university examination. Forty-one answers…
Descriptors: Medical Students, Medical Education, Artificial Intelligence, Computer Software
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