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Josef Kundrát; Karel Recka; Martina Litschmannová; Adéla Vrtková; František Baumgartner; Tereza Benešová; Karel Paulík; Lenka Skanderová; Tomáš Fabián; Helena Beranová; Dominika Ullmannová – Education and Information Technologies, 2024
We have developed a new interactive instrument that uses psychological distance (represented by visual distance) together with the metaphors of size and temperature to assess liking and influence among primary school students. To test its concurrent validity, we compare its results with an established sociometric instrument. Furthermore, we…
Descriptors: Foreign Countries, Elementary School Students, Measurement Equipment, Figurative Language
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Muhammad Aliman; Sumarmi; Silvia Marni – Journal of Social Studies Education Research, 2024
The purpose of this study is to determine the spatial thinking ability of high school students using indicators from Sharpe-Huynh model. These indicators include analysis, spatial interaction, scale, representation, comprehensiveness, and application. Furthermore, this study examined the effect of Earthcomm learning on student's spatial thinking…
Descriptors: Spatial Ability, Thinking Skills, Skill Development, Earth Science
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Giovanna Valori; Belén Giacomone; Veronica Albanese; Natividad Adamuz-Povedano – International Journal of Mathematical Education in Science and Technology, 2024
The combined use of origami and dynamic geometry software has recently appeared in mathematics education to enrich students' geometric thinking. The objective of this research is to study the roles played by the interaction of two artifacts, paper folding and GeoGebra, in a construction-proving problem as well as its generalization in the…
Descriptors: Educational Technology, Manipulative Materials, Computer Software, Geometry
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Andres Neyem; Luis A. Gonzalez; Marcelo Mendoza; Juan Pablo Sandoval Alcocer; Leonardo Centellas; Carlos Paredes – IEEE Transactions on Learning Technologies, 2024
Software assistants have significantly impacted software development for both practitioners and students, particularly in capstone projects. The effectiveness of these tools varies based on their knowledge sources; assistants with localized domain-specific knowledge may have limitations, while tools, such as ChatGPT, using broad datasets, might…
Descriptors: Computer Software, Artificial Intelligence, Intelligent Tutoring Systems, Capstone Experiences
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Samar Shailendra; Rajan Kadel; Aakanksha Sharma – IEEE Transactions on Education, 2024
Contributions: An adoption framework to include generative artificial intelligence (GenAI) in the university curriculum. It identifies and highlights the role of different stakeholders (university management, students, staff, etc.) during the adoption process. It also proposes an objective approach based upon an evaluation matrix to assess the…
Descriptors: Guidelines, Artificial Intelligence, Computer Software, Technology Uses in Education
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Mark Wilson-Trollip – Perspectives in Education, 2024
This study investigates the current use of artificial intelligence (AI) for peer-to-peer support through a bibliometric analysis of 1113 records based on co-words. The research employs a four-phase exploratory design that involves co-word search, data charting, and result summation. It uses an inductive, relevant, and reflexive thematic approach…
Descriptors: Artificial Intelligence, Peer Teaching, Peer Relationship, Learning Theories
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Hani Morgan – Clearing House: A Journal of Educational Strategies, Issues and Ideas, 2024
ChatGPT, a type of generative artificial intelligence, recently became the fastest-growing app of all time, with over 100 million users. The increasing use of this chatbot has led educators to fear that its use will cause various problems, including cheating. However, using ChatGPT can lead to desirable outcomes. Teachers can use this technology…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Technology Uses in Education
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Rizia Rocha-Silva; Mila Alves Matos Rodrigues; Ricardo Borges Viana; Fernanda Patti Nakamoto; Rodrigo Luiz Vancini; Marília Santos Andrade; Thomas Rosemann; Katja Weiss; Beat Knechtle; Claudio Andre Barbosa de Lira – Advances in Physiology Education, 2024
This study aimed to critically evaluate the information provided by ChatGPT on the role of lactate in fatigue and muscle pain during physical exercise. We inserted the prompt "What is the cause of fatigue and pain during exercise?" using ChatGPT versions 3.5 and 4o. In both versions, ChatGPT associated muscle fatigue with glycogen…
Descriptors: Human Body, Artificial Intelligence, Computer Software, Synchronous Communication
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Mohamad Ikram Zakaria; Wong Wai San Carol; Mohd Fadzil Abdul Hanid; Mohd Fahmi Adnan; Nur Fatihah Raimi; Syarifah Maryam Syed Azman – Mathematics Teaching Research Journal, 2024
GeoGebra represents a significant advancement in educational technology, providing dynamic tools for mathematics education. However, its specific impact on student motivation and achievement in geometry remains understudied. This research investigates the effects of integrating geometrical design through GeoGebra on these outcomes. Conducted over…
Descriptors: Foreign Countries, Mathematics Education, Mathematics Instruction, Secondary School Students
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Chukwuemeka Ihekweazu; Bing Zhou; Elizabeth Adepeju Adelowo – Information Systems Education Journal, 2024
This study delves into the opportunities and challenges associated with the deployment of AI tools in the education sector. It systematically explores the potential benefits and risks inherent in utilizing these tools while specifically addressing the complexities of identifying and preventing academic dishonesty. Recognizing the ethical…
Descriptors: Ethics, Artificial Intelligence, Responsibility, Technology Uses in Education
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Giselly Mayra Larêdo Lima; Ludmila Beghini Viriato Sanchez; Johnatan dos Santos Pereira; Valderí de Castro Alcântara; Juliana Maria Magalhães Christino – Journal of Education and Learning, 2024
This research delves into the multifaceted aspects influencing the adoption and utilization of ChatGPT among postgraduate students. Executed as a qualitative study involving participants from a prominent federal university, the primary objective was to discern students' nuanced perceptions of ChatGPT and their inclination to embrace it as an…
Descriptors: Artificial Intelligence, Synchronous Communication, Computer Software, Graduate Students
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Gawon Yun; Kewman M. Lee; Hailey Hyunjin Choi – Journal of Educational Computing Research, 2025
Scholarly interest in artificial intelligence (AI) has surged as researchers delve into its transformative impact on various aspects of our lives. AI poses both benefits and challenges, particularly in the context of educators' endeavors to comprehend the intricacies of students' learning processes. Although the use of AI to enhance and assist…
Descriptors: Student Empowerment, Bibliometrics, Artificial Intelligence, Computer Software
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Ishan N. Vengurlekar; Carly Oddleifson; Chelsea Salvatore; Stephen P. Kilgus; Evan H. Dart – Journal of Applied School Psychology, 2025
Progress monitoring data provide important information on student functioning in response to an intervention. Yet, there are several barriers to effective progress monitoring of internalizing symptoms among youth. To address these concerns, the current paper conceptualized the use of ecological momentary assessment (EMA) as a service delivery…
Descriptors: Middle School Students, Progress Monitoring, Student Improvement, Emotional Response
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Guohui Xing; Xiaofeng Luo – International Journal of Distance Education Technologies, 2025
This study discusses the value of applying the practical strategy of top-level design of artificial intelligence (AI) in the ideological and political theory courses (IPC) in China universities, aiming at improving the ideological and political literacy (PA) of college students. The research first implements IPC through AI network media, then…
Descriptors: Instructional Innovation, Artificial Intelligence, Political Attitudes, Computer Software
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L. Perla; L. S. Agrati; A. Beri – Professional Development in Education, 2025
The study presented investigated the relations between personal factors and teachers' attitudes towards AI in order to deduce implications for professional learning and test a "post-teaching" theoretical hypothesis. A survey was conducted on the opinions of 177 teachers involved in the secondary school qualification course. The teachers…
Descriptors: Faculty Development, Teacher Attitudes, Artificial Intelligence, Risk
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