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Chia-Ju Lin; Hsin-Yu Lee; Wei-Sheng Wang; Yueh-Min Huang; Ting-Ting Wu – Education and Information Technologies, 2025
With the promotion of STEM education and active practice, experiential learning has become a crucial instructional design strategy. Experiential learning emphasizes a student-centered learning model, encouraging students to explore unknown fields through individual and team collaborative efforts. Through practical activities, it promotes active…
Descriptors: STEM Education, Experiential Learning, Student Centered Learning, Artificial Intelligence
Imre van Kraalingen; Dave Hills; Jack Reed; Simon Beames; Brendon Munge – Journal of Adventure Education and Outdoor Learning, 2024
This paper draws on a webinar on digital technology and networked spaces in outdoor education, where three researchers presented their work through responses to two discussion statements: First, 'the use of digital technology in outdoor education is fundamentally contrary to all its values.' Second, 'if we accept that digital technology is…
Descriptors: Outdoor Education, Information Technology, Reflection, Internet
Lada Smirnova – Mentoring & Tutoring: Partnership in Learning, 2024
Crediting Vygotsky in introducing perezhivanie, I argue that perezhivanie acts analogously to reflection in problem solving and much beyond that and can be used as a developmental tool for teachers. Analyzing teacher's perezhivanie, a "mentor" can better understand their practice. Teachers' perezhivanie is a psychological reaction to a…
Descriptors: Foreign Countries, Faculty Development, Mentors, Teacher Response
Huiying Cai; Linmeng Lu; Bing Han; Lung-Hsiang Wong; Xiaoqing Gu – Educational Technology Research and Development, 2025
The potential of classroom videos to enhance reflective practices in pre-service teacher education is hindered by the sheer volume of captured activities. An AI-powered teacher dashboard could address this challenge by analyzing and visualizing information extracted from these videos, supporting reflection in video-based professional learning…
Descriptors: Preservice Teachers, Reflection, Artificial Intelligence, Technology Uses in Education
Bihao Hu; Jiayi Zhu; Yiying Pei; Xiaoqing Gu – npj Science of Learning, 2025
The introduction of large language models (LLMs) may change future pedagogical practices. Current research mainly focuses on the use of LLMs to tutor students, while the exploration of LLMs' potential to assist teachers is limited. Taking high school mathematics as an example, we propose a method that utilizes LLMs to enhance the quality of…
Descriptors: Artificial Intelligence, Lesson Plans, Technology Uses in Education, High School Teachers
Minnie Liu; Oi-Lam Ng; Yun Dai; Ching-Sing Chai – Canadian Journal of Science, Mathematics and Technology Education, 2024
This paper presents a case study of two prospective teachers' perturbations and professional development during lesson demonstrations which focused on technology-rich mathematics teaching and learning by analyzing a series of individual and collaborative video-based reflections to support the prospective teachers' learning. Drawing on the…
Descriptors: Preservice Teachers, Mathematics Teachers, Case Studies, Technology Uses in Education
Jennifer Kay Houchins – ProQuest LLC, 2023
Computational thinking (CT) is recognized as an essential and universally applicable skill for all disciplines (Wing, 2006; Bundy, 2007). Proponents of CT acknowledge that it is integral to fostering 21st century skills such as problem-solving and higher-order thinking (Barr & Stephenson, 2011; Wing, 2006). Educational robotics activities have…
Descriptors: Middle School Students, Computation, Thinking Skills, Robotics
Jinqing Liu; Orly Buchbinder – Digital Experiences in Mathematics Education, 2024
Online learning and teaching, accelerated by the global pandemic and rapid advancement of digital technology, require novel conceptual and analytical tools to understand better the evolving nature of online teaching. Drawing on the classical model of the instructional triangle and previous attempts to extend it, we propose the "Instructional…
Descriptors: Educational Technology, Electronic Learning, Reflection, Visualization
Tanner Phillips – ProQuest LLC, 2023
This study explored how artificial intelligence (AI) can support teachers in reflecting on and improving their course design. Interviews were conducted with two university instructors after they interacted with an AI-powered dashboard visualizing relationships between course content, assessments, and student work. Thematic analysis revealed three…
Descriptors: Artificial Intelligence, Reflection, Affordances, Instructional Design
Unggi Lee; Yeil Jeong; Junbo Koh; Gyuri Byun; Yunseo Lee; Hyunwoong Lee; Seunmin Eun; Jewoong Moon; Cheolil Lim; Hyeoncheol Kim – Smart Learning Environments, 2024
This preliminary study explores how GPT-4 Vision (GPT-4V) technology can be integrated into teacher analytics through observational assessment, aiming to improve reflective teaching practice. Our study develops a Video-based Automatic Assessment System (VidAAS) powered by GPT-4V. This approach uses Generative Artificial Intelligence (GenAI) to…
Descriptors: Observation, Teaching Methods, Artificial Intelligence, Behavior
McLay, Katherine Frances; Thomasse, Lauren; Reyes, Vicente Chua, Jr. – Educational Technology Research and Development, 2023
Preparing students for professional life in a Volatile, Uncertain, Complex and Ambiguous twenty-first century world has seen tertiary institutions eschew the traditional 'lecture-tutorial' model in favour of active learning approaches. However, implementing these approaches is not unproblematic. This paper explores how we navigated the tensions of…
Descriptors: Active Learning, Technology Uses in Education, Preservice Teacher Education, 21st Century Skills
Mette Alma Kjaersholm Boie; Christian Dalsgaard; Francesco Caviglia – British Journal of Educational Technology, 2024
The paper introduces the student-coined term "digital instinct" which describes students' disposition to resorting to digital technology for solving problems and doing school assignments. Taking cues from the term "digital instinct," the paper describes a student perspective on digital literacy emerging from 100 lived…
Descriptors: Digital Literacy, Secondary School Students, Technology Uses in Education, Cognitive Ability
Thomas K. F. Chiu – Educational Technology Research and Development, 2024
Generative AI such as ChatGPT provides an instant and individualized learning environment, and may have the potential to motivate student self-regulated learning (SRL), more effectively than other non-AI technologies. However, the impact of ChatGPT on student motivation, SRL, and needs satisfaction is unclear. Motivation and the SRL process can be…
Descriptors: Artificial Intelligence, Independent Study, Self Management, Self Determination
Levine, Diane; Theron, Linda – Qualitative Research Journal, 2022
Purpose: In this paper the authors share, and reflect critically on, the experience of using digital storytelling (DS) methods in a South African township. We interrogate the innovations prompted as we operationalized DS in a context that has historically prized collectivist values and that experiences chronic resource constraints.…
Descriptors: Story Telling, Technology Uses in Education, Educational Technology, Foreign Countries
Sophie Brinsmead; Carys Deeley; Jessica Millington; Laura Pardoe; Hanna Kovshoff; Henry Wood-Downie – European Journal of Education, 2025
The views of children with special educational needs and disabilities are frequently left out of educational decision-making processes. In recent years, researchers have sought to employ creative methods to facilitate children's voices in areas of importance. One such area is transitions between educational settings, a significant time that has…
Descriptors: Self Expression, Electronic Learning, Story Telling, Children