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Andrew Kwok-Fai Lui; Sin-Chun Ng; Stella Wing-Nga Cheung – Interactive Learning Environments, 2024
The technology of automated short answer grading (ASAG) can efficiently process answers according to human-prepared grading examples. Computer-assisted acquisition of grading examples uses a computer algorithm to sample real student responses for potentially good examples. The process is critical for optimizing the grading accuracy of machine…
Descriptors: Grading, Computer Uses in Education, Educational Technology, Artificial Intelligence
Qing Yu; Bao-min Li; Qi-yun Wang – Interactive Learning Environments, 2024
In recent years, 3D holographic technology (3DHT) has attracted more and more attention from the field of education, bringing new opportunities to reform the delivery of instruction and learning. Whether the application of 3D holographic technology can effectively improve student learning performance has become a pendent issue. In this study, a…
Descriptors: Visual Aids, Technology, Learning Processes, Meta Analysis
Ilana Dubovi; Idit Adler – Interactive Learning Environments, 2024
Computer-based simulations are highly effective in supporting students' deep conceptual understanding of scientific ideas. However, in the unprecedented era of the COVID-19 outbreak, students around the world experienced an induced state anxiety, which may have affected their engagement with the learning environments and ultimately their academic…
Descriptors: COVID-19, Pandemics, Anxiety, Learner Engagement
Waheed, Mehwish; Leišyte, Liudvika – Interactive Learning Environments, 2023
This study aims to examine the difference in students' satisfaction with the Quality Characteristics (QualChar) of the Digital Learning Systems (DLs) with regards to gender and frequency of interaction between students-students and students-teachers. A cross-sectional online quantitative survey was used to collect data from English language…
Descriptors: Foreign Countries, Graduate Students, Electronic Learning, Learning Management Systems
Sonsoles López-Pernas; Mohammed Saqr; Aldo Gordillo; Enrique Barra – Interactive Learning Environments, 2023
Learning analytics methods have proven useful in providing insights from the increasingly available digital data about students in a variety of learning environments, including serious games. However, such methods have not been applied to the specific context of educational escape rooms and therefore little is known about students' behavior while…
Descriptors: Learning Analytics, Educational Games, Student Behavior, Computer Uses in Education
Bahari, Akbar – Interactive Learning Environments, 2023
The purpose of this systematic review was three-fold: (a) to convey technology-assisted language learning (TALL) affordances that facilitate catering to the nonlinearity and dynamicity of the second language (L2) motivational factors, (b) to identify TALL challenges that inhibit the integration of educational technologies to enhance L2 motivation…
Descriptors: Affordances, Barriers, Technology Uses in Education, Second Language Learning
Shamsuzzoha, Ahm; Toshev, Rayko; Vu Tuan, Viet; Kankaanpaa, Timo; Helo, Petri – Interactive Learning Environments, 2021
This study evaluates the use of virtual reality (VR) platforms, which is an integrated part of the digital factory for an industrial training and maintenance system. The digital factory-based VR platform provides an intuitive and immersive human-computer interface, which can be an efficient tool for industrial training and maintenance services.…
Descriptors: Computer Simulation, Industrial Training, Computer Uses in Education, Man Machine Systems
Huang, Fang; Teo, Timothy; Scherer, Ronny – Interactive Learning Environments, 2022
As a key variable determining technology acceptance and adoption, the perceived ease of technology use (PEU) has been in the focus of a considerable body of research. This research examined the external factors that influence perceived ease of use, such as computer self-efficacy and perceived enjoyment, but yielded inconsistent findings and…
Descriptors: College Students, Internet, Electronic Learning, Usability
Milenkovic, Aleksandar; Takaci, Ðurdica; Božic, Radoslav – Interactive Learning Environments, 2022
In this paper the authors described the influence of the computer-based environment on students' learning achievement of the multidimensional calculus, in particular double integrals. The research was conducted with the second year students at the University of Kragujevac, Serbia, with two groups of students: the experimental and the control one.…
Descriptors: Computer Uses in Education, Computer Software, Mathematics Education, Calculus
Al-Rahmi, Waleed Mugahed; Yahaya, Noraffandy; Alturki, Uthman; Alrobai, Amen; Aldraiweesh, Ahmed A.; Omar Alsayed, Alhuseen; Kamin, Yusri Bin – Interactive Learning Environments, 2022
Social media (SM) provide new opportunities to foster collaboration and engagement between students. However, the moderating effect of cyberstalking and cyberbullying on the relationship between students' academic performance and collaborative learning has not yet been addressed. Therefore, this study aims to bridge the literature gap concerning…
Descriptors: Social Media, Cooperative Learning, Predictor Variables, Academic Achievement
Robson M. Araujo-Junior; Alec M. Bodzin – Interactive Learning Environments, 2024
Digital game-based and gamified technologies hold much promise to promote the development of learners' conceptual knowledge. This efficacy study used desktop virtual reality (dVR) to investigate how the place-based digital gameful learning experience (DGLE) "Watershed Explorers", implemented as a curriculum enhancement activity, impacted…
Descriptors: Game Based Learning, Place Based Education, Learning Experience, Middle School Students
Zhang, Lishan; Huang, Yuwei; Yang, Xi; Yu, Shengquan; Zhuang, Fuzhen – Interactive Learning Environments, 2022
Automatic short-answer grading has been studied for more than a decade. The technique has been used for implementing auto assessment as well as building the assessor module for intelligent tutoring systems. Many early works automatically grade mainly based on the similarity between a student answer and the reference answer to the question. This…
Descriptors: Automation, Grading, Models, Artificial Intelligence
Ainhoa Alvarez; Mikel Villamañe – Interactive Learning Environments, 2024
Assessment is a key element in any course, and providing students with a balance between formative and summative assessments is crucial. Defining such a process is a complex task for teachers and often entails a great workload. This makes it necessary to have tools to help in the assessment process definition and its monitoring. This paper first…
Descriptors: Open Source Technology, Learning Management Systems, Student Evaluation, College Students
Sun, Fu-Rong; Pan, Long-Fei; Wan, Rong-Gen; Li, Hui; Wu, Shu-Jing – Interactive Learning Environments, 2021
This research aims to explore the latent effect of elementary student engagement in a Spherical Video-based Virtual Reality (SVVR) environment for a school-based course on higher level competence development. Student engagement and higher level competence development were investigated using a valid sample of 324 students from five elementary…
Descriptors: Learner Engagement, Elementary School Students, Computer Simulation, Skill Development
Lee, I.-Jui – Interactive Learning Environments, 2020
Furniture carpentry uses spatial structure and geometry, e.g. mortise-tenon joints, which require cognitive judgments of hidden views and spatial understanding. For the furniture carpentry novice, the idea of spatial geometry in the mortise-tenon joint is difficult to understand because furniture carpentry drawings are usually two-dimensional…
Descriptors: Computer Simulation, Visualization, Freehand Drawing, Furniture

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