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Lingfei Luan; Xi Lin; Yan Dai – Open Praxis, 2025
This paper investigates how ChatGPT, an AI chatbot developed by OpenAI, can be introduced to STEM education, specifically, an "Introduction to Cognitive Neuroscience" class. Using mixed-method research, the study conducted an experiment to collect students' performance scores and their feedback to examine the potential impacts from…
Descriptors: Artificial Intelligence, STEM Education, Neurosciences, Student Attitudes
Anne B. Reinertsen – Policy Futures in Education, 2025
Digitalization needs to be storied for me to become critical of and creative with its functionings. In today's algorithmic condition, knowledge production and learning are complex posthuman entanglements: the human as materially affective has become fabricated hybrids of organism and machine. Storying is seen as simultaneous processes of…
Descriptors: Algorithms, Story Telling, Technology Uses in Education, Humanization
Ming Li; Ariunaa Enkhtur; Beverley Anne Yamamoto; Fei Cheng; Lilan Chen – Open Praxis, 2025
Generative Artificial Intelligence (GAI) models, such as ChatGPT, may inherit or amplify societal biases due to their training on extensive datasets. With the increasing usage of GAI by students, faculty, and staff in higher education institutions (HEIs), it is urgent to examine the ethical issues and potential biases associated with this…
Descriptors: Artificial Intelligence, Ethics, Technology Integration, Computer Software
Saso Koceski; Natasa Koceska; Limonka Koceva Lazarova; Marija Miteva; Biljana Zlatanovska – Journal of Technology and Science Education, 2025
This study aims to evaluate ChatGPT's capabilities in certain numerical analysis problem: solving ordinary differential equations. The methodology which is developed in order to conduct this research takes into account the following mathematical abilities (defined according to National Centre for Education Statistics): Conceptual Understanding,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Number Concepts, Problem Solving
Karin Tengler; Gerhard Brandhofer – Discover Education, 2025
Generative Artificial Intelligence (GenAI) models have grown increasingly popular among pre-service teachers (PSTs) and have become their constant companions, primarily assisting them in scientific writing. This article presents a study that investigates the differences and benefits of GenAI in the scientific writing process. Essays generated by…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Writing (Composition)
Promethi Das Deep; Yixin Chen – Higher Education Studies, 2025
The COVID-19 pandemic significantly disrupted higher education. The sudden and profound transformations it necessitated had a direct and negative impact on higher education students, as evidenced by the widely reported instances of academic disengagement, decreased motivation, and lower performance. This was often due to student burnout caused by…
Descriptors: COVID-19, Pandemics, Electronic Learning, Fatigue (Biology)
Hyunkyung Lee; Lynette Mott Bryan – Professional Development in Education, 2025
Artificial Intelligence (AI) is increasingly embedded in daily life, transforming how we process information, analyse data, and communicate. As AI enables new forms of interaction, educators need to assess its implications for teaching and learning. This study examines how AI tools, specifically ChatGPT, were integrated into preservice teacher…
Descriptors: Barriers, Technology Integration, Artificial Intelligence, Computer Software
Ulla Hemminki-Reijonen; Noha M. A. M. Hassan; Minna Huotilainen; Jaana-Maija Koivisto; Benjamin Ultan Cowley – npj Science of Learning, 2025
Emerging technologies are transforming education, necessitating research on their optimal integration. This article introduces an Intelligent Virtual Reality (IVR) approach that incorporates Generative Artificial Intelligence (GAI) through two GAI-powered pedagogical characters, aiming to address educational needs. This qualitative descriptive…
Descriptors: Artificial Intelligence, Computer Simulation, College Instruction, Instructional Design
Da-Lun Chen; Kirsi Aaltonen; Hannele Lampela; Jaakko Kujala – Technology, Knowledge and Learning, 2025
The breakthrough in generative artificial intelligence (AI) has unlocked new possibilities for higher education. There are many studies on educational chatbots in the fields of science, technology, engineering, and mathematics; however, studies on designing and leveraging chatbots in a multidisciplinary field like project management have been…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Higher Education
Peer reviewedConrad Borchers; Jeroen Ooge; Cindy Peng; Vincent Aleven – Grantee Submission, 2025
Personalized problem selection enhances student practice in tutoring systems. Prior research has focused on transparent problem selection that supports learner control but rarely engages learners in selecting practice materials. We explored how different levels of control (i.e., full AI control, shared control, and full learner control), combined…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Learner Controlled Instruction, Learning Analytics
Carl Boel; Tijs Rotsaert; Martin Valcke; Tammy Schellens – Journal of Computer Assisted Learning, 2025
Background: As immersive virtual reality (IVR) is increasingly being used by teachers worldwide, it becomes pressing to investigate how this technology can foster learning processes. Several authors have pointed to this need, as results on the effectiveness of IVR for learning are still inconclusive. Objectives: To address this gap, we first…
Descriptors: Artificial Intelligence, Computer Simulation, Learning Strategies, Middle School Students
Tobias Kohn – Journal of Computer Assisted Learning, 2025
Background: The recent advent of powerful, exam-passing large language models (LLMs) in public awareness has led to concerns over students cheating, but has also given rise to calls for including or even focusing education on LLMs. There is a perceived urgency to react immediately, as well as claims that AI-based reforms of education will lead to…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Usability
Conrad Oh-Young; Michael Karlin – TEACHING Exceptional Children, 2025
ChatGPT, an artificial intelligence (AI) large language model system, has taken the world by storm. Fearful that students would use ChatGPT to circumvent the learning process, multiple school districts in the U.S. have outright banned its use. Despite this, there are some who suggest that ChatGPT has the potential to reshape the field of education…
Descriptors: Early Childhood Education, Special Education, Artificial Intelligence, Computer Software
Puying Wang – European Journal of Education, 2025
Information technology contributes to the transformation of the learning process because it changes the traditional system of teaching, based on outdated methodologies. The paper examined the current technologies used in music education in the context of learning process improvements in China. A sociological survey was conducted using the Stapel…
Descriptors: Music Education, Technology Uses in Education, Artificial Intelligence, Individualized Instruction
Bin Meng; Fan Yang – International Journal of Web-Based Learning and Teaching Technologies, 2025
This paper proposes a computer-aided teaching model using knowledge graph construction and learning path recommendation. It first creates a multimodal knowledge graph to illustrate complex relationships among knowledge. Learning elements and sequences are then used to form time sequences stored as directed graphs, supporting flexible path…
Descriptors: Students, Teachers, Computer Assisted Instruction, Knowledge Representation

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