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Peng Tan; Xiangshi Ren; Zixue Cheng; Yi Ji – Education and Information Technologies, 2024
In the Digital Heritage Education (DHE) classroom, students use digital tools to assist in understanding intangible cultural heritage (ICH), which comprises intricate knowledge. However, students may still encounter obstacles when trying to produce creative designs. To address this issue, we propose a framework that adopts a human-engaged…
Descriptors: Electronic Learning, Cultural Background, Heritage Education, Educational Technology
Insook Han; Timothy Patterson; Hyangeun Ji; Joseph Eisman – Journal of Interactive Learning Research, 2024
This study explored the use of immersive virtual reality enhancing university students' presence and empathy in relation to their immersive tendencies. With a first-person narrative delivered through a head-mounted display, a high-immersion virtual reality (VR) was expected to provide engaging embodied experiences, impacting the way students…
Descriptors: Computer Simulation, Empathy, Experiential Learning, Visual Aids
Laura Claudia Johanna Pflieger; Christian Hartmann; Maria Bannert – Discover Education, 2024
In the rapidly evolving landscape of educational technologies, Immersive Virtual Reality (iVR) stands out as a transformative tool for teaching and learning. The learner must actively engage, particularly when visual and auditory knowledge information is presented simultaneously. Generative learning strategies support learners in processing and…
Descriptors: Computer Simulation, Knowledge Level, Information Technology, Imagination
María Dolores Soto-González; Ramona Rodríguez-López – Journal of Technology and Science Education, 2025
This study presents a transdisciplinary techno-artistic experience conducted with students of the degree in Preschool Education from the University of Valencia. The experience seeks to promote the use of technologies with a contemporary approach through new creative forms such as sound-visual cartographies. The objective is to understand the…
Descriptors: Interdisciplinary Approach, Educational Technology, Preservice Teachers, Preschool Teachers
Yadviga Radzitskaya; Artem Islamov – Journal of Computer Assisted Learning, 2024
Nanolearning represents an educational methodology rooted in personalisation and the individualisation of the educational process, leveraging contemporary information technologies. Nanolearning, closely intertwined with self-regulated learning, entails an individual's capacity to plan, monitor and regulate their learning process, objectives and…
Descriptors: Microcredentials, Teaching Methods, Information Technology, Learning Processes
Mao, Ye – ProQuest LLC, 2021
Intelligent Tutoring Systems (ITSs) have emerged as valuable systems to promote active learning. It is critical to build accurate student models to support the learning process. In order to provide efficient and effective personalized instructions for students, tracking a student's time-varying knowledge state is essential to an ITS. Prior…
Descriptors: Time Perspective, STEM Education, Intelligent Tutoring Systems, Learning Processes
Gang Lei – Interactive Learning Environments, 2024
With the emergence of the Industrial Revolution 4.0, modern technologies such as cloud computing, artificial intelligence, and big data are profoundly transforming the education ecosystem. The development of education is not only faced with huge challenges but also contains rare opportunities. New concepts such as deep learning, adaptive learning,…
Descriptors: Educational Technology, Artificial Intelligence, Blended Learning, Data
Saritepeci, Mustafa – Technology, Knowledge and Learning, 2021
This paper examines the effects of digital storytelling activities (hereinafter: DST) in Science class on instructional effectiveness and learners' satisfaction in terms of participants' perceptions and parents' opinions. In line with this aim, a mixed research model was designed, and data were collected after a 13-week implementation from…
Descriptors: Student Satisfaction, Parent Attitudes, Positive Attitudes, Story Telling
Shokeen, Ekta; Katirci, Nihal; Williams-Pierce, Caro; Bonsignore, Elizabeth – Information and Learning Sciences, 2022
Purpose: This study aims to understand children's sketching behavior while they engage in interest-driven design activities. Particularly, the authors examine their information sharing practices and the learning opportunities that may occur when they engage in a sketching activity. Design/methodology/approach: The data collection is based on a…
Descriptors: Freehand Drawing, Learning Processes, Student Behavior, Design
Vegas, Emiliana; Ziegler, Lauren; Zerbino, Nicolas – Center for Universal Education at The Brookings Institution, 2019
The Center for Universal Education (CUE) at the Brookings Institution studies innovations that can rapidly improve education progress, including innovations that use education technology. If the education sector stays on its current trajectory, by 2030 half of all children and young people around the world will lack basic secondary-level skills…
Descriptors: Educational Technology, Educational Innovation, Technology Uses in Education, Teaching Methods
Soykan, Emrah; Gemikonakli, Eser; Kanbul, Sezer – International Journal of Disability, Development and Education, 2019
The aim of this study is to investigate the effectiveness of digital materials designed for the use of teachers and students in teaching concept skills to students in need of special education. The concept of the long term was included in the study. As a research model, a single-subject research model and a multiple-probe model were used. The…
Descriptors: Special Education, Instructional Materials, Teaching Methods, Concept Formation
London, Manuel; Diamante, Thomas – APA Books, 2018
Innovation is one of the key drivers of success in modern business, and continuous learning is what drives innovation. Building on the theory and practice of consulting psychology and the science of learning, along with principles of human resources development, Manuel London and Thomas Diamante articulate a five-step process for designing and…
Descriptors: Intervention, Consultants, Instructional Design, Needs Assessment
Streeter, Matthew – International Educational Data Mining Society, 2015
We show that student learning can be accurately modeled using a mixture of learning curves, each of which specifies error probability as a function of time. This approach generalizes Knowledge Tracing [7], which can be viewed as a mixture model in which the learning curves are step functions. We show that this generality yields order-of-magnitude…
Descriptors: Probability, Error Patterns, Learning Processes, Models
Torres Kompen, Ricardo; Monguet, Josep Ma.; Brigos, Miguel – Quarterly Review of Distance Education, 2015
There are several definitions for the term "personal learning environment" (PLE); in this article, PLE refers to a group of web technologies, with various degrees of integration and interaction, that helps users and learners manage the flow of information that relates to the learning process, the creation of knowledge, and the…
Descriptors: Educational Environment, Educational Technology, Online Systems, Electronic Learning
Hokanson, Brad – Educational Technology, 2015
This writing looks at an elemental aspect of learning and communication, the question, and contends that questions can be viewed as a technology for education. Questions that we ask in the classroom, online, or in discussion can shape learning and develop skills in students, and they should be more systematically employed in education. This…
Descriptors: Educational Technology, Questioning Techniques, Teaching Methods, Taxonomy