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Olga Viberg; Martine Baars; Rafael Ferreira Mello; Niels Weerheim; Daniel Spikol; Cristian Bogdan; Dragan Gasevic; Fred Paas – Journal of Computer Assisted Learning, 2024
Background Study: Peer feedback has been used as an effective instructional strategy to enhance students' learning in higher education. Objectives: This paper reports on the findings of an explorative study that aimed to increase our understanding of the nature and role of peer feedback in the students' learning process in a computer-supported…
Descriptors: Feedback (Response), Peer Evaluation, Computer Assisted Instruction, Cooperative Learning
Hussein Meihami – Computer Assisted Language Learning, 2024
Research in computer-assisted language learning (CALL) has turned into a critical way of addressing the interrelationships between L2 pedagogy and technology. This autobiographical narrative inquiry aimed to investigate CALL researchers' strategies to conduct genuine CALL research (Colpaert, 2020). To that end, the autobiographical narratives of…
Descriptors: Computer Assisted Instruction, Second Language Instruction, Educational Research, Communities of Practice
Neelam Bansal; Mala Tandon; Himangshu Das – Journal of Applied Research in Higher Education, 2024
Purpose: The main purpose of the study to identify the importance of computer devices in vocational studies for person with disabilities (PwDs) are as follows: This study aims to observe the role of computer training in vocational training of a PwD. This study plays an important role in the vocational training of a PwD. With the help of ICT…
Descriptors: Students with Disabilities, Vocational Education, Computer Assisted Instruction, Educational Technology
Greta R. Underhill; Cat Turk – Online Learning, 2024
Although instructors in higher education are oftentimes content matter experts, they may not have received training on instructional design or inclusive practices, such as Universal Design for Learning. However, instructors may serendipitously implement aspects of UDL without full knowledge of the framework. This qualitative study used sensemaking…
Descriptors: Usability, Electronic Learning, Teacher Attitudes, Curriculum Design
Rui Zhang – International Journal of Web-Based Learning and Teaching Technologies, 2023
With the continuous advancement of curriculum reform, how to improve the classroom efficiency and optimize the learning classroom model has become a topic of increasing concern for scholars and teachers. With the development and popularization of computer network, distance education has been widely used. It is in this case that the resource…
Descriptors: Artificial Intelligence, Courseware, Multimedia Instruction, Online Courses
Kimberly Maslin; Karen Murcia; Susan Blackley; Geoff Lowe – Australian Educational Researcher, 2025
Fostering young children's creativity is a desired outcome of STEM learning experiences. Such experiences often incorporate hands-on activities that encourage agency, curiosity, and experimentation. While educators generally have a good understanding of how to nurture creativity within a physical learning environment, less is known about…
Descriptors: STEM Education, Creativity, Electronic Learning, Learning Experience
Bradley Graeme Welch; Juan Carlos Ponce Campuzano – International Journal of Mathematical Education in Science and Technology, 2025
In this paper, we explore how the typical second year undergraduate topic of matrix diagonalisation can be applied to solve a geometric problem which arises frequently in Vector Calculus: to find the curve of intersection of a plane and a surface. We use GeoGebra, which offers a cost-free and dynamic interface, to explore a specific variant of…
Descriptors: Geometry, Computer Software, Computer Assisted Instruction, Undergraduate Students
Leonora Kaldaras; Kevin Haudek; Joseph Krajcik – International Journal of STEM Education, 2024
We discuss transforming STEM education using three aspects: learning progressions (LPs), constructed response performance assessments, and artificial intelligence (AI). Using LPs to inform instruction, curriculum, and assessment design helps foster students' ability to apply content and practices to explain phenomena, which reflects deeper science…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, STEM Education, Learning Trajectories
Sokratis Tselegkaridis; Theodosios Sapounidis; Dimitrios Stamovlasis – Education and Information Technologies, 2024
Laboratories are considered to play a unique role in circuits teaching. Laboratories can be traditional, with physical components and desks, or virtual with graphical simulators. Applying these facilities in teaching, students can make experiments or measurements by exploring electric circuits' features. However, an intriguing research question is…
Descriptors: Teaching Methods, Electronics, Laboratory Experiments, Meta Analysis
Geetika Ail; Frances Freer; Chui Shan Chan; Melissa Jones; John Broad; Gian Paulo Canale; Pedro Elston; Jessica Leeney; Paula Vickerton – Anatomical Sciences Education, 2024
Immersive virtual reality (i-VR) is a powerful tool that can be used to explore virtual models in three dimensions. It could therefore be a valuable tool to supplement anatomical teaching by providing opportunities to explore spatial anatomical relationships in a virtual environment. However, there is a lack of consensus in the literature as to…
Descriptors: Computer Simulation, Models, Anatomy, Premedical Students
René Lobo-Quintero; Roberto Sánchez-Reina; Davinia Hernández-Leo – Journal of Learning Analytics, 2024
Computer-Supported Collaborative Learning (CSCL) is recognized as an effective methodology for fostering social interaction mediated by technology in ways that potentially trigger learning. The successful implementation of CSCL hinges on factors such as the scripting mechanics for activity sequencing proposed by Collaborative Learning Flow…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Learner Engagement, Student Participation
Imad Abou-Hayt; Bettina Dahl – IEEE Transactions on Education, 2024
Contribution: This article presents a new look at teaching the Laplace transform for engineering students by emphasizing the obsolescence of the current method of finding the inverse Laplace transform when solving differential equations, and by recognizing the important role of a computer-assisted environment in helping the students understand the…
Descriptors: Engineering Education, Problem Solving, Equations (Mathematics), Computation
Kirk Vanacore; Ashish Gurung; Adam Sales; Neil Heffernan – Society for Research on Educational Effectiveness, 2024
Background: Gaming the system -- attempting to progress through a learning activity without learning (R. Baker et al., 2008) -- is an enduring problem that reduces the efficacy of Computer Based Learning Platforms (CBLPs). Researchers made substantial progress in identifying instances when students are gaming the system (Baker et al., 2006; Dang…
Descriptors: Gamification, Program Effectiveness, Computer Assisted Instruction, Feedback (Response)
Melka, Mark – ProQuest LLC, 2023
There is currently a lack of in-depth research with teachers' practices and perceptions with computer-assisted instruction (CAI) in the elementary classroom. Much of the past research focuses on student achievement but fails to consider how the teacher perceives the use of CAI and how they use CAI in the classroom. This research study explores the…
Descriptors: Elementary School Teachers, Teacher Attitudes, Educational Practices, Computer Assisted Instruction
Zheng, Lanqin; Long, Miaolang; Niu, Jiayu; Zhong, Lu – International Journal of Computer-Supported Collaborative Learning, 2023
Learning engagement has gained increasing attention in the field of education. Previous studies have adopted conventional methods to analyze learning engagement, but these methods cannot provide timely feedback for learners. This study analyzed automated group learning engagement via deep neural network models in a computer-supported collaborative…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Learner Engagement, Automation