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Wu, Yonghe; Guo, Shouchao; Zhu, Lijuan – Interactive Learning Environments, 2020
3D design software is a commonly used interactive learning tool in STEM education. It is generally believed that 3D design can effectively train students' spatial thinking and engineering design abilities. There have been many theoretical and practical achievements in the application of 3D printing education, but the evaluation of 3D design is…
Descriptors: Foreign Countries, Elementary School Students, Computer Peripherals, Printing
Pando Cerra, Pablo; Gracia Rodríguez, Javier; Fernández Álvarez, Humberto; Busto Parra, Bernardo – Interactive Learning Environments, 2020
Interactive Web Environments and multimedia tools are very common in engineering studies. However, these resources are very limited when graphical resolution is needed during the learning process. A learning environment that combines video and self-assessment Computer-Aided Design (CAD) tools was developed to analyse this problem and to determine…
Descriptors: Multimedia Materials, Self Evaluation (Individuals), Engineering Education, Computer Assisted Design
Obeid, Samah; Demirkan, Halime – Interactive Learning Environments, 2023
With the recent advancements in digital technologies, the design studios are transformed to virtual environments that offer both to design students and instructors a broader perspective in understanding the design process. As an integral part of design process, the supporting virtual tools enhance creativity in basic design studios. This study…
Descriptors: Creativity, Design, Teaching Methods, Computer Simulation
Lai, Ying-Hsun; Chen, Shih-Yeh; Lai, Chin-Feng; Chang, Yao-Chung; Su, Yu-Sheng – Interactive Learning Environments, 2021
Due to their applications on varied and complex issues, Artificial Intelligence (AI) and Internet of Things (IoT) (collectively, AIoT) have become popular new-generation courses, but the learning of such courses needs to consider actual situations and to analyze complicated problems, making it difficult for students to improve their academic…
Descriptors: Artificial Intelligence, Internet, Computation, Thinking Skills
Martins, Bruno Rodrigo; Jorge, Joaquim Armando; Zorzal, Ezequiel Roberto – Interactive Learning Environments, 2023
Studies indicate that Augmented Reality (AR) is quickly becoming an effective technology for training programs. This systematic literature review (SLR) aims to screen works published on AR for corporate training. We describe AR training applications, discuss current challenges, literature gaps, opportunities, and tendencies of corporate AR…
Descriptors: Computer Simulation, Educational Technology, Industrial Training, On the Job Training
Shao, Yinjuan; Zhang, Jingjing; Costello, Eamon; Brown, Mark – Interactive Learning Environments, 2023
This study attempted to assess public perceptions of and interest in MOOCs by examining how Weibo increases public discussion of MOOCs as well as by interpreting how individual learners talk about their learning experiences. Over 4,000 microblog posts were collected and analysed between 2013 and 2018. The findings showed that Weibo is used as a…
Descriptors: Public Opinion, MOOCs, Social Media, Learning Experience
Goh, Joelene; Truman, Barbara; Barber, Daniel – Interactive Learning Environments, 2019
Identifying characteristics of individuals who will be negatively impacted by interactive learning environments (ILE) was explored in a field study conducted among learners whose high-stakes performance depended upon grasping training scenarios quickly. Gauging the appropriateness of computer-based simulations for individuals became a pedagogical…
Descriptors: Individual Differences, Computer Assisted Instruction, Educational Technology, Self Efficacy
Lam, Ho Cheong – Interactive Learning Environments, 2022
Variation theory, which is a theory of learning developed by Marton and others, has quickly become popular in education research. Our purpose of this paper is to articulate the application of variation theory in the form of a number of concrete design principles that offer prescriptive and practical guidelines for improving the designs of…
Descriptors: Learning Theories, Computer Software, Educational Technology, Instructional Design
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
Hsu, Mei-Hua; Chen, Pei-Shih; Yu, Chi-Shun – Interactive Learning Environments, 2023
Many learners of English as a foreign language often feel that learning spoken English is frustrating and quite difficult, especially when they have to talk to English-speaking foreigners. In general, because they are unfamiliar with the spoken mode of English and are worried about making grammatical errors, they often feel very scared to speak…
Descriptors: Task Analysis, Artificial Intelligence, Computer Software, English (Second Language)
Cheng Zhang – Interactive Learning Environments, 2024
Under the current information technology development and social interaction digitalization, China shows an increasing interest in the possibilities of digital solutions improving the effectiveness of pedagogical processes when forming and developing sports competencies and skills in football players. The present article is devoted to the study of…
Descriptors: Foreign Countries, Student Motivation, Student Interests, Team Sports
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
Thuy Thi-Nhu Ngo; Howard Hao-Jan Chen; Kyle Kuo-Wei Lai – Interactive Learning Environments, 2024
The present study performs a three-level meta-analysis to investigate the overall effectiveness of automated writing evaluation (AWE) on EFL/ESL student writing performance. 24 primary studies representing 85 between-group effect sizes and 34 studies representing 178 within-group effect sizes found from 1993 to 2021 were separately meta-analyzed.…
Descriptors: Writing Evaluation, Automation, Computer Software, English (Second Language)
Alvaro M. Lozano-Tarazona; Diego Mauricio Rivera Pinzón – Interactive Learning Environments, 2024
This study is related to the transfer of the header motor skill in soccer from a virtual reality (VR) sport's training to the real world. A total of 61 children (37 females) between 9 and 11 years of age were distributed into three groups: a control group without training; a second group that was trained in an original VR environment developed by…
Descriptors: Team Sports, Psychomotor Skills, Skill Development, Computer Simulation
Kanwal Zahoor; Narmeen Zakaria Bawany – Interactive Learning Environments, 2024
Mobile application developers rely largely on user reviews for identifying issues in mobile applications and meeting the users' expectations. User reviews are unstructured, unorganized and very informal. Identifying and classifying issues by extracting required information from reviews is difficult due to a large number of reviews. To automate the…
Descriptors: Artificial Intelligence, Computer Oriented Programs, Courseware, Learning Processes

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