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Direct linkTaekwon Son – Education and Information Technologies, 2025
Responsive teaching is an effective teaching approach in which teachers engage and respond to students' mathematical ideas to support their mathematics learning. In this study, the relationship between preservice teachers' (PSTs) noticing expertise and their teaching moves was investigated in a simulated AI chatbot environment. The AI chatbot…
Descriptors: Preservice Teachers, Teaching Methods, Technology Uses in Education, Artificial Intelligence
Download full textDanimir Mandic; Gordana Mišcevic; Jelica Babic; Sofija Matovic – Research in Pedagogy, 2024
The contemporary educational paradigm, which brings learning outcomes and competencies to the foreground, puts special emphasis on digital competencies. The relevance of their development is visible in a series of strategies and initiatives at the global and national level. The application of AI and robotics poses a number of pedagogical…
Descriptors: Robotics, Teacher Education Programs, Preservice Teacher Education, Preschool Teachers
Astuti Muh. Amin; Fitriyah Karmila; Syamsu Rijal; Noor Hujjatusnaini; Romi Adiansyah – Journal of Education and e-Learning Research, 2025
The present study aimed to evaluate the validity, practicality, and effectiveness of an integrated project-based learning model and 4C scaffolding techniques in addressing students' misconceptions in biology. In this research and development (R&D) study, the learning model was validated by five experts. A limited product trial was conducted…
Descriptors: Artificial Intelligence, Technology Uses in Education, Misconceptions, Student Projects
Ekaterina Rzyankina; Frikkie George; Zach Simpson – IEEE Transactions on Education, 2024
Background: The COVID-19 pandemic and the shift to digital learning materials have dramatically reduced the use of paper-based textbooks in higher education. In the field of engineering, students need a comprehensive understanding of mathematical concepts, which can be achieved through the use of e-textbooks. These digital learning materials can…
Descriptors: Engineering Education, Electronic Publishing, Misconceptions, Mathematics Instruction
Johanna Velander; Mohammed Ahmed Taiye; Nuno Otero; Marcelo Milrad – Education and Information Technologies, 2024
Uncovering patterns and trends in vast, ever-increasing quantities of data has been enabled by different machine learning methods and techniques used in Artificial Intelligence (AI) systems. Permeating many aspects of our lives and influencing our choices, development in this field continues to advance and increasingly impacts us as individuals…
Descriptors: Foreign Countries, Elementary School Teachers, Secondary School Teachers, Teacher Educators
Zhang, Ruofei; Zou, Di; Cheng, Gary – Innovation in Language Learning and Teaching, 2023
EFL learners generally have the problem of logical fallacies in EFL argumentative writings. Logical fallacies are errors in reasoning that can undermine EFL argumentative writing quality. Explicit training on logical fallacies may help learners deal with the problem and enhance their self-efficacy and proficiency in EFL argumentative writing,…
Descriptors: English (Second Language), Second Language Learning, Persuasive Discourse, Writing Instruction
Dahlkemper, Merten Nikolay; Lahme, Simon Zacharias; Klein, Pascal – Physical Review Physics Education Research, 2023
This study aimed at evaluating how students perceive the linguistic quality and scientific accuracy of ChatGPT responses to physics comprehension questions. A total of 102 first- and second-year physics students were confronted with three questions of progressing difficulty from introductory mechanics (rolling motion, waves, and fluid dynamics).…
Descriptors: Physics, Science Instruction, Artificial Intelligence, Computer Software
Li, Fengying; He, Yifeng; Xue, Qingshui – Educational Technology & Society, 2021
With the deep application of artificial intelligence and big data in education, adaptive learning has become a new research hotspot in online education. Based on the systematic review of the connotation and research progress of adaptive learning, a new definition of adaptive learning is given. By literature analysis, this paper points out the…
Descriptors: Educational Technology, Artificial Intelligence, Student Needs, Individualized Instruction
Chrysafiadi, Konstantina; Troussas, Christos; Virvou, Maria – International Journal of Learning Technology, 2022
This paper addresses the interesting issue of mobile-assisted language learning using novel techniques for further improving the adaptivity and personalisation to students. The domain model of the system includes English and French language concepts, and its user model holds information about students and their progress. It also embodies a…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), French
Jena, Ananta Kumar – Asia-Pacific Forum on Science Learning and Teaching, 2018
Artificial Intelligence is a branch of computer science connects, classifies, differentiates, and elaborates the domains of learning in neural network, a paradigm shift is using in the construction of knowledge. In this pretest-posttest single group experimental design, neural network artificial intelligence used to investigate the existing…
Descriptors: Artificial Intelligence, Pretests Posttests, Misconceptions, Experimental Groups
Shelley, Mack, Ed.; Akcay, Hakan, Ed.; Ozturk, Omer Tayfur, Ed. – International Society for Technology, Education, and Science, 2022
"Proceedings of International Conference on Research in Education and Science" includes full papers presented at the International Conference on Research in Education and Science (ICRES) which took place on March 24-27, 2022 in Antalya, Turkey. The aim of the conference is to offer opportunities to share ideas, to discuss theoretical and…
Descriptors: Educational Technology, Technology Uses in Education, Computer Peripherals, Equipment
Boyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals
Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use
Barnes, Tiffany, Ed.; Chi, Min, Ed.; Feng, Mingyu, Ed. – International Educational Data Mining Society, 2016
The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…
Descriptors: Data Analysis, Evidence Based Practice, Inquiry, Science Instruction
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
