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Rungfa Pasmala; Pinanta Chatwattana – Higher Education Studies, 2025
This research aims to develop an adaptive digital project-based learning model enhanced with artificial intelligence technology to facilitate the creation of digital content. A systematic approach was employed, divided into three phases: 1) study and synthesis of conceptual frameworks to understand the elements and relationships of related…
Descriptors: Educational Technology, Active Learning, Student Projects, Artificial Intelligence
Mikkel Godsk; Karen Louise Møller – Education and Information Technologies, 2025
There is a widespread agenda of improving teaching and learning in higher education by engaging students with educational technology. Based on a large-scale literature review, the article presents 61 specific, research-based recommendations for realising the engagement potential of eight types of educational technologies in higher education. These…
Descriptors: College Students, Learner Engagement, Technology Uses in Education, Educational Technology
Shaofeng Wang; Zhuo Sun – Education and Information Technologies, 2025
Artificial Intelligence (AI) is increasingly being integrated into educational settings, with Intelligent Personal Assistants (IPAs) playing a significant role. However, the psychological impact of these AI assistants on fostering active learning behaviors needs to be better understood. This research study addresses this gap by proposing a…
Descriptors: Artificial Intelligence, Active Learning, Redundancy, Role
Stephen M. Kosslyn; Elizabeth P. Callaghan; David P. Green – Learning: Research and Practice, 2025
This article addresses the transformative potential of generative Artificial Intelligence (AI) to optimize human potential by making education more efficient and effective. We describe a new teaching method called "Dynamic Personalized Learning." In this method, AI dynamically provides feedback and adjusts the level and pace of…
Descriptors: Artificial Intelligence, Feedback (Response), Individualized Instruction, Learning Objectives
David Agwu Udu; Oby Justina Mbamalu – Journal of Chemical Education, 2025
Chemistry is an essential subject for most science-based undergraduate courses in universities; as such, it is a basic requirement for secondary school students aspiring to study science-related courses in universities. However, the subject has historically been linked to high failure rates and underperformance of students in secondary school…
Descriptors: Chemistry, Self Management, Educational Technology, Technology Uses in Education
Lanqin Zheng; Zhe Shi; Zhixiong Fu; Shuqi Liu – Journal of Science Education and Technology, 2025
In recent years, in the era of digital intelligence, intelligent feedback has received increasing attention. However, few studies have explored the impacts of intelligent feedback on learning achievements and learning perceptions in inquiry-based science learning. To address these research gaps, this study examined the overall impacts of…
Descriptors: Artificial Intelligence, Technology Uses in Education, Feedback (Response), Academic Achievement
David C. Johnson; Marcie Coulter-Kern – Active Learning in Higher Education, 2025
Research shows that active-learning methods (e.g. discussion) are often superior to passive methods (e.g. lecture) with respect to learning outcomes. However, students sometimes report preferring and learning more in lecture-style classes compared to those in which they play an active role. These and related findings suggest students may lack…
Descriptors: Active Learning, Lecture Method, Instructional Design, Technology Uses in Education
Anthony Ilobinso; Victoria Lowell; Stuart White; Kevin Jones – Journal of Technology and Teacher Education, 2025
This study examines how active learning principles and considerations are reflected in preservice teachers' learning experiences with augmented reality (AR) and how they conceptualize its use in their future classrooms. Twenty-eight preservice teachers, including three interviewed participants, were surveyed about their experiences with AR and…
Descriptors: Computer Simulation, Technology Uses in Education, Active Learning, Preservice Teacher Education
Muhua Zhang; Chien-Yuan Su – Education and Information Technologies, 2025
Immersive virtual reality (IVR) is expected to create a greater sense of presence that might improve students' laboratory learning experiences. However, little research has verified the influence of presence on students' perceptions toward immersive laboratory learning. The current study, which is based on the expectation confirmation model,…
Descriptors: Adolescents, Adolescent Attitudes, Laboratory Training, Foreign Countries
Paul Kim; Wilson Wang; Curtis J. Bonk – Journal of Educational Computing Research, 2025
Following the launch of the generative AI Web application, Ask.SMILE, designed to evaluate the cognitive levels of questions asked, 2559 educators generated 25,973 question-feedback sets over a three-month period, with an average of over 10 questions per participant. Analyses revealed a significant improvement in question quality from initial…
Descriptors: Artificial Intelligence, Technology Uses in Education, Test Wiseness, Test Items
Vânia Carlos; Gabriela Reses; Sandra C. Soares – Interactive Learning Environments, 2024
As spaces, physical or virtual, are change agents and can have an impact on learning, the power of built pedagogy is being acknowledged in Higher Education. Emphasis is being placed on the design of Active Learning Spaces (ALS) and its impact on pedagogy, by fostering active learning. However, the field is fragmented, due to a profusion of terms…
Descriptors: Literature Reviews, Content Analysis, Classroom Design, Educational Environment
Peter W. Cookson Jr. – Phi Delta Kappan, 2025
The use of artificial intelligence is growing, but it's unclear how much it is expanding human knowledge. Peter W. Cookson Jr. discusses the potential of AI use for learning. He suggests that humans learn by making connections in ways that AI cannot replicate. The kinds of experiences that promote these connections require students to experiment…
Descriptors: Artificial Intelligence, Educational Innovation, Student Projects, Active Learning
A Gamified Method for Construction Engineering Education: Learning through Guided Active Exploration
Mohammad Ilbeigi; Diana Bairaktarova; Romina Ehsani – Journal of Civil Engineering Education, 2024
Experiential learning through active exploration can play a vital role in fostering critical thinking and problem-solving skills in engineering education. However, the complex nature of the construction industry in the 21st century cannot afford an education through trial and error in a real environment. This case study aims to promote…
Descriptors: Gamification, Educational Games, Engineering Education, Active Learning
Kevin L. Sager; Miho Aoki; Scott D. Goddard – Innovative Higher Education, 2024
We tested the educational effectiveness of an inquiry-guided approach (Lee et al., 2004; Prince & Felder in "Journal of Engineering Education, 95," 123-138, 2006) to teaching a possible outcome of statistical hypothesis testing known as type 1 error. The approach consisted of showing participants an animated space exploration video.…
Descriptors: Inquiry, Statistics Education, Active Learning, Space Exploration
Pasawut Cheerapakorn; Kanitta Hinon; Panita Wannapiroon – International Education Studies, 2024
The Hybrid Project-Based Learning Model on Metaverse to Enhance Collaboration. The concept is based on the integration of hybrid learning, project-based learning, and metaverse. This research has the objective: (1) To study and synthesize the conceptual framework of the hybrid project-based learning model on metaverse to enhance collaboration. (2)…
Descriptors: Blended Learning, Active Learning, Student Projects, Cooperation

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