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Alden J. Edson; Ashley Fabry; Ahmad Wachidul Kohar; Leslie Bondaryk; Elizabeth Difanis Phillips – Digital Experiences in Mathematics Education, 2025
This article reports on a novel approach to integrate artificial intelligence into a digital collaborative platform embedded with a problem-based mathematics curriculum. Using design research methodologies, we developed a new "proof-of-concept" design feature called "student proportional reasoning arrows (SPArrows)." SPArrows…
Descriptors: Artificial Intelligence, Documentation, Problem Based Learning, Computer Uses in Education
Sofie Otto; Stine Ejsing-Duun; Euan Lindsay – Education and Information Technologies, 2025
This study explores the arrival of Generative Artificial Intelligence (GenAI) technologies in a collaborative Problem-Based Learning (PBL) environment from the perspective of students. It examines the emerging practices students develop individually and in groups as well as the tensions they navigate in response to GenAI's sudden arrival, its…
Descriptors: Student Attitudes, Artificial Intelligence, Technology Uses in Education, Problem Based Learning
Nora McDonald; Aaron Massey; Foad Hamidi – Journal of Problem Based Learning in Higher Education, 2023
Efforts to include people with disabilities in design education are difficult to scale, and dynamics of participation need to be carefully planned to avoid putting unnecessary burdens on users. However, given the scale of emerging AI-enhanced technologies and their potential for creating new vulnerabilities for marginalized populations, new…
Descriptors: Empathy, Artificial Intelligence, Assistive Technology, Sustainability
Yong Zhao – ECNU Review of Education, 2025
Purpose: The purpose is to stimulate imagination of artificial intelligence (AI) and education beyond current schooling. Design/Approach/Methods: The approach this article took is a broad review of literature on learning, teaching, schooling, and technological development and evidence-based reasoning about the possible future of education in the…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Problem Based Learning
Mark Frydenberg; Anqi Xu; Jennifer Xu – Information Systems Education Journal, 2025
This study explores student perceptions of learning to code by evaluating AI-generated Python code. In an experimental exercise given to students in an introductory Python course at a business university, students wrote their own solutions to a Python program and then compared their solutions with AI-generated code. They evaluated both solutions…
Descriptors: Student Attitudes, Programming, Computer Software, Quality Assurance
Antonia Scholkmann; Maja Højslet Schurer; Cecilie Hviid – Journal of Problem Based Learning in Higher Education, 2025
This article presents a design experiment in which generative artificial intelligence (GAI) was topically integrated into a Problem-based Learning module in a pedagogical study programme with the intention to generate insights for both, future GAI-in-PBL practice and theory. Based on various data (student reports, notes, a focus group interview,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Problem Based Learning, Student Attitudes
Joalise Janse van Rensburg – Discover Education, 2024
The ability to think critically is an important and valuable skill that students should develop to successfully solve problems. The process of writing requires critical thinking (CT), and the subsequent piece of text can be viewed as a product of CT. One of the strategies educators may use to develop CT is modelling. Given ChatGPT's ability to…
Descriptors: Critical Thinking, Writing Instruction, Computer Software, Artificial Intelligence
Shoukat Ali Arain; Shahid Akhtar Akhund; Muhammad Abrar Barakzai; Sultan Ayoub Meo – Advances in Physiology Education, 2025
The alignment of learning materials with learning objectives (LOs) is critical for successfully implementing the problem-based learning (PBL) curriculum. This study investigated the capabilities of Gemini Advanced, a large language model (LLM), in creating clinical vignettes that align with LOs and comprehensive tutor guides. This study used a…
Descriptors: Medical Education, Educational Change, Artificial Intelligence, Technology Uses in Education
Andrew Wiss; Mary Showstark; Kyle Dobbeck; Jennifer Pattershall-Geide; Elke Zschaebitz; Dawn Joosten-Hagye; Kirsten Potter; Erin Embry – Online Learning, 2025
This article highlights the foundational challenge of rapid interprofessional student team formation and the potential challenges that groupthink poses for newly formed teams participating in collaborative problem based learning activities. This article describes a mixed-methods study that addresses groupthink by introducing a generative…
Descriptors: Artificial Intelligence, Computer Uses in Education, Cooperative Learning, Problem Based Learning
Bae, Haesol; Feng, Chen; Glazewski, Krista; Hmelo-Silver, Cindy E.; Chen, Yuxin; Mott, Bradford W.; Lee, Seung Y.; Lester, James C. – TechTrends: Linking Research and Practice to Improve Learning, 2023
Because implementing and orchestrating collaborative problem-based learning (PBL) in K-12 classrooms requires teachers to manage multiple activities and access various teaching resources at the same time, this is an exceptionally complex task for designers to develop tools for orchestration support as well as for teachers to coordinate. The aim of…
Descriptors: Cooperative Learning, Problem Based Learning, Elementary Secondary Education, Teacher Attitudes
Golnoush Haddadian; Prajwal Panzade; Daniel Takabi; Min Kyu Kim – International Journal of Technology in Education, 2025
In response to the demand for Artificial Intelligence (AI) experts, this study introduced a curriculum development initiative. The aim was to design and implement a Private AI curriculum to understand the computer science (CS) students' evaluations of the curricular activities and their levels of interest and motivation. Twenty-five students, a…
Descriptors: Computer Science Education, Artificial Intelligence, Curriculum Development, Curriculum Implementation
Ramadhan Prasetya Wibawa; Hari Wahyono; Wahjoedi; Endang Sri Andayani – Educational Process: International Journal, 2025
Background/purpose: This study aimed to identify publication trends regarding the implementation of Project Based Learning (PjBL) in junior high schools over a specific period based on bibliometric data; To analyze the most frequently occurring keywords in the PjBL literature for junior high schools to understand the main research focus; To…
Descriptors: Student Projects, Active Learning, Program Effectiveness, Junior High School Students
Daniela Orozova; Nadezhda Angelova – International Association for Development of the Information Society, 2025
The development of modern technologies and the integration of AI into all aspects of life pose challenges for participants in the educational process. On the one hand, using chatbots and generative AI tools provides learners with unlimited opportunities to quickly and easily access a large amount of information and receive help with various…
Descriptors: Problem Based Learning, Artificial Intelligence, Natural Language Processing, Technology Integration
Chenyu Hou; Gaoxia Zhu; Vidya Sudarshan – British Journal of Educational Technology, 2025
There is a heightened concern over undergraduate students being over-reliant on Generative AI and using it recklessly. Reliance behaviours describe the frequencies and ways that people use AI tools for tasks such as problem-solving, influenced by individual factors such as trust and AI literacy. One way to conceptualise reliance is that reliance…
Descriptors: Undergraduate Students, Artificial Intelligence, Student Behavior, Incidence
Christian Basil Omeh; Musa Adekunle Ayanwale; Lindelani E. Mnguni; Chijioke Jonathan Olelewe – Journal of New Approaches in Educational Research, 2025
Despite the increasing emphasis on computational literacy in higher education, we observed that many undergraduate students particularly in developing contexts struggle to master fundamental programming skills and develop critical thinking. Conventional instructional approaches often lack interactivity and personalized scaffolding, which are…
Descriptors: Skill Development, Programming, Computer Science Education, Critical Thinking

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