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Larry Katz; Megan Hallam; Zoe Polsky; Michael Duvall; Lisa Finestone; Dave Carlgren – Canadian Journal for the Scholarship of Teaching and Learning, 2025
Interactive student response systems (SRS, clickers) are used in post-secondary classrooms to enhance student engagement and learning. Their use, however, is most often limited to reviewing material with multiple choice questions. The present study examined student responses to a strategy for technology-enhanced learning within an introductory…
Descriptors: Postsecondary Education, Audience Response Systems, Educational Technology, Feedback (Response)
Patricia Diaz; Stefan Hrastinski; Per Norström – Interactive Learning Environments, 2024
Teacher educators' distinct and dual task of educating future teachers includes using digital tools to support students' ongoing learning while exemplifying appropriate teaching strategies where the use of digital tools, such as response systems (RSs), are commonly occurring. RSs have been used in higher education for a long time, and many studies…
Descriptors: Teacher Educators, Audience Response Systems, Student Participation, Learner Engagement
Idit Adler; Scott Warren; Cathleen Norris; Elliot Soloway – Smart Learning Environments, 2025
Smart learning environments provide students with opportunities to engage in self-regulated learning (SRL). However, little research has examined how teachers leverage these opportunities. We employed a multiple-case study methodology to examine the SRL supporting instructional practices of five third-grade teachers as they implemented a science…
Descriptors: Elementary School Students, Elementary School Teachers, Grade 3, Independent Study
Zumrotul ‘Aliyah; Sunaryono Sunaryono; Khusaini Khusaini; Bakhrul Rizky Kurniawan – Journal of Science Learning, 2025
In the context of physics education, it is imperative that educators prioritize the development of students' problem-solving abilities. Given the interdisciplinary nature of physics and its relevance to everyday life, students must possess robust problem-solving skills. However, conventional and uninspiring learning approaches have been shown to…
Descriptors: Feedback (Response), Web Sites, Educational Technology, Problem Solving
Bogdan Yamkovenko; Charlie A. R. Hogg; Maya Miller-Vedam; Phillip Grimaldi; Walt Wells – International Educational Data Mining Society, 2025
Knowledge tracing (KT) models predict how students will perform on future interactions, given a sequence of prior responses. Modern approaches to KT leverage "deep learning" techniques to produce more accurate predictions, potentially making personalized learning paths more efficacious for learners. Many papers on the topic of KT focus…
Descriptors: Algorithms, Artificial Intelligence, Models, Prediction
Piro, Jody S. – International Journal of Educational Leadership Preparation, 2023
Debriefing may be the most important factor for learning in simulations. This exploratory case study investigated a modified Plus-Delta approach to debriefings following mixed reality simulation-based learning. The findings suggested that educational leadership students who encountered debriefings from simulations developed leadership skills and…
Descriptors: Computer Simulation, Administrator Education, Leadership Qualities, Skill Development
Talha Mahboob Alam; George Adrian Stoica; Özlem Özgöbek – Smart Learning Environments, 2025
Response technologies (RTs), also termed clickers or student response systems, have gained traction among researchers in classrooms in recent years. RTs encompass various interactive tools and technologies that are pivotal in modern educational settings. Numerous articles emphasize the effectiveness of RTs across multiple grades and courses.…
Descriptors: Educational Technology, Technology Uses in Education, Elementary Secondary Education, Student Reaction
Mathias Mejeh; Livia Sarbach; Tina Hascher – Education and Information Technologies, 2024
Lifelong learning is emerging as a key priority for promoting equity and sustainability in societies. Self-regulated learning (SRL) is a fundamental requirement for achieving successful lifelong learning, and digitization is increasingly influential in this regard. This mixed-methods study explores the degree to which adaptive learning technology…
Descriptors: Feedback (Response), Independent Study, Lifelong Learning, Electronic Learning
Carranza Rogerio, Brenda; Yan, Yu; Cooper, Eric Wallace – International Journal of Technology in Education, 2023
The growing integration of technology into education, particularly in the STEM fields, has tended to focus on its objective advantages, ignoring its affective potential. To explore this potential, based on some principles of "Kansei/Affective Engineering," an initial analysis was conducted considering 501 interventions in a conversation…
Descriptors: Affective Behavior, Feedback (Response), STEM Education, Electronic Learning
Simon Kitto; H. L. Michelle Chiang; Olivia Ng; Jennifer Cleland – Advances in Health Sciences Education, 2025
There is a long-standing lack of learner satisfaction with quality and quantity of feedback in health professions education (HPE) and training. To address this, university and training programmes are increasingly using technological advancements and data analytic tools to provide feedback. One such educational technology is the Learning Analytic…
Descriptors: Feedback (Response), Learning Analytics, Educational Technology, Allied Health Occupations Education
Noah Glaser; Lucas Jensen; Tina Riedy; Maggie Center; Jim Shifflett; Joseph Griffin – Educational Technology Research and Development, 2024
This qualitative research study aims to examine the potential of the commercially available serious game, Spiritfarer. The study focuses on the game's unique approach to serious themes and its ability to facilitate discussions about grief. A grounded theory approach was used to analyze lived experience descriptions from 54 participants. Findings…
Descriptors: Game Based Learning, Grief, Program Effectiveness, Empathy
Drumm, Bernard T. – International Journal for the Scholarship of Teaching and Learning, 2023
In this paper, we outline a case study describing the incorporation of active learning and flipped classroom techniques in a renal physiology module in 1st year medical school. The module was redesigned over a 2-year period within the teaching for understanding (TfU) framework (generative topics, understanding goals, performances of understanding…
Descriptors: Active Learning, Flipped Classroom, Physiology, Human Body
Shauger, Rob; Boothe, Kathleen A.; Lohmann, Marla J. – Journal of Special Education Apprenticeship, 2023
According to the National Center for Education Statistics (2022), the number of college students enrolled in at least one online course was approximately 11 million during the 2021-2022 school year. Knowing that institutes of higher education (IHEs) are responsible for teaching students who are primarily online learners, special education teacher…
Descriptors: Preservice Teachers, Special Education Teachers, Online Courses, Educational Technology
Sajjad Farashi; Saeid Bashirian; Ensiyeh Jenabi; Katayoon Razjouyan – International Journal of Developmental Disabilities, 2024
Background: People with autism spectrum disorder (ASD) have difficulties recognizing emotions. Studies showed that virtual reality (VR) and computerized training programs might be used as potential tools for enhancing emotion recognition in such people. However, some inconsistencies were observed between the studies. Objective: In the current…
Descriptors: Computer Simulation, Training, Emotional Response, Autism Spectrum Disorders
Yoseph Mamo; Helen Crompton; Diane Burke; Christine Nickel – TechTrends: Linking Research and Practice to Improve Learning, 2024
ChatGPT, an AI chatbot developed by OpenAI, was released in November 2022, sparking a significant surge in global awareness and utilization of generative AI across various domains. Although recent studies have acknowledged the significance of ChatGPT in the education sector, they have yet to focus on exploring faculty attitudes toward ChatGPT. We…
Descriptors: Artificial Intelligence, Teacher Attitudes, Educational Technology, Technology Uses in Education

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