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Nicolas Van Vlasselaer; Benyameen Keelson; Aldo Scafoglieri; Erik Cattrysse – Anatomical Sciences Education, 2024
In anatomical research and education, three-dimensional visualization of anatomical structures is crucial for understanding spatial relationships in diagnostics, surgical planning, and teaching. While computed tomography (CT) and magnetic resonance imaging (MRI) offer valuable insights, they are often expensive and require specialized resources.…
Descriptors: Anatomy, Scientific Research, Science Instruction, Visual Aids
Daniel J. Shevock; Jacob Holster – Action, Criticism, and Theory for Music Education, 2025
The current paper utilizes the Model for Convivial Tools to assess the advantages and disadvantages of adopting generative artificial intelligence (AI) tools, like ChatGPT, in music classrooms. This model brings to the fore the potential of ChatGPT to affect community, instigate environmental harms, advance access and ease, and support agency.…
Descriptors: Artificial Intelligence, Technology Uses in Education, Technology Integration, Music Education
Yoshihiro Okada; Kanami Oki – International Association for Development of the Information Society, 2023
This paper introduces web viewers for educational VR contents. Recently, many types of VR goggles have been released as commercial products and many entertainment applications for them have been created. However, educational VR contents have been created so far are not so many because the creation of VR contents is time consuming task. We need to…
Descriptors: Computer Simulation, Technology Uses in Education, Web 2.0 Technologies, Educational Technology
Christine Wusylko; Pavlo Antonenko; Brian Abramowitz; Jeremy Waisome; Victor Perez; Stephanie Killingsworth; Bruce MacFadden – Journal of Technology and Teacher Education, 2025
As artificial intelligence (AI) is rapidly being adopted and used in society, it is imperative that teachers feel supported to integrate AI and computer science (CS) into their coursework. To help support teachers to integrate CS and AI into their instruction, we designed and developed an innovative AI curriculum, Shark AI, for in-service science…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Technology Integration
Curry, John H.; Jackson, Sean R.; Morin, Heather – TechTrends: Linking Research and Practice to Improve Learning, 2022
For years, researchers and practitioners alike have searched for meaningful ways to describe or evaluate how technology was being integrated into teaching or to what level. This article will briefly summarize some of the predominant lenses through which to view technology integration and propose a new model for designing meaningfully…
Descriptors: Technology Integration, Educational Technology, Instructional Design, Models
Olga Ovtšarenko – Discover Education, 2024
Machine learning (ML) methods are among the most promising technologies with wide-ranging research opportunities, particularly in the field of education, where they can be used to enhance student learning outcomes. This study explores the potential of machine learning algorithms to build and train models using log data from the "3D…
Descriptors: Artificial Intelligence, Algorithms, Technology Uses in Education, Opportunities
Aïcha Bakki; Lahcen Oubahssi; Youness Laghouaouta; Sébastien George – Interactive Learning Environments, 2024
Business Process Model and Notation (BPMN) is a standard formalism for business process modeling that is very popular in professional practices due to its expressiveness, the well-defined meta-model, and its easiness of use by non-technical users. For instance, BPMN2.0 is used for business processes in commercial areas such as banks, shops,…
Descriptors: MOOCs, Learning Management Systems, Business Education, Models
Tsubasa Minematsu; Atsushi Shimada – International Association for Development of the Information Society, 2024
In using large language models (LLMs) for education, such as distractors in multiple-choice questions and learning by teaching, error-containing content is used. Prompt tuning and retraining LLMs are possible ways of having LLMs generate error-containing sentences in the learning content. However, there needs to be more discussion on how to tune…
Descriptors: Educational Technology, Technology Uses in Education, Error Patterns, Sentences
Mario Vallarino; Saverio Iacono; Edoardo Bellanti; Gianni V. Vercelli – IEEE Transactions on Learning Technologies, 2024
This article introduces a novel approach to remote laboratory instruction, specifically designed for teaching three-dimensional modeling using Blender software. The lab uses virtual machines to provide students with the necessary computational power to carry out the course activities, along with the correct version of the software. The flipped…
Descriptors: Flipped Classroom, Distance Education, Laboratories, Peer Evaluation
Xiaodong Wei; Lei Wang; Lap-Kei Lee; Ruixue Liu – Journal of Educational Computing Research, 2025
Notwithstanding the growing advantages of incorporating Augmented Reality (AR) in science education, the pedagogical use of AR combined with Pedagogical Agents (PAs) remains underexplored. Additionally, few studies have examined the integration of Generative Artificial Intelligence (GAI) into science education to create GAI-enhanced PAs (GPAs)…
Descriptors: Artificial Intelligence, Technology Uses in Education, Models, Science Education
Alexander Eitel; Marie-Christin Krebs; Claudia Schöne – Educational Psychology Review, 2025
Given the many opportunities for technology use in education nowadays (e.g., Large language models, explainer videos, digital quizzing), teachers should know and rely on evidence-based answers to questions about when, how, and why technology-augmented instruction helps or hinders learning. To date, finding these answers requires integrating…
Descriptors: Predictor Variables, Technology Uses in Education, Educational Technology, Computer Assisted Instruction
Christopher W. Norfolk; Timothy Ellis – Chemical Engineering Education, 2024
The effect of digital tools (pre-lab videos and 3D models of experimental equipment) on student's performance of a typical lab assignment was studied quantitatively; for some students, these digital tools replaced physical access to the equipment. These students also participated in focus groups and gave good suggestions to make the digital tools…
Descriptors: Educational Technology, Electronic Learning, COVID-19, Pandemics
Elizabeth B. Harkey; Angela T. Barlow; Victoria Groves-Scott – Mathematics Teacher: Learning and Teaching PK-12, 2023
Many teachers reported improved skills in using technology as a direct result of teaching virtually during the pandemic (Bushweller, 2020). The authors wondered which uses of technology would continue as teachers transitioned back into face-to-face classrooms. Recognizing that mere incorporation of technology into instruction does not guarantee…
Descriptors: Educational Technology, Mathematics Instruction, Technology Uses in Education, Models
Üçgül, Memet; Altiok, Serhat – Education and Information Technologies, 2023
3D printing technology has an influence on a variety of industries such as automotive, engineering, medical, aerospace, sports, fashion, education, and more. In education, 3D printing is used in many different fields like pharmacy, mathematics, biology, chemistry, art education, graphic design, engineering, and even in early childhood and special…
Descriptors: Preservice Teachers, Student Attitudes, Information Technology, Technology Integration
Bekir Yildirim; Ahmet Tayfur Akcan – Journal of Education in Science, Environment and Health, 2024
This study aimed to propose a Professional Development Model (PDM) for chemistry teachers to enhance their professional development in Artificial Intelligence (AI). The research group consisted of 17 chemistry teachers. The study was designed using a particular case study suitable for qualitative research methods. Document review, teacher…
Descriptors: Artificial Intelligence, Faculty Development, Science Teachers, Chemistry