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Qi, Dan; Zhang, Mingli; Zhang, Yan – Interactive Learning Environments, 2023
With the ever-increasing adoption of MOOCs, the study of MOOCs learning behavior has been paid more and more attention, both in practice and in academia. This study aims to understand the impact of resource integration (including platform resources, teacher resources, and learner resources) on learners' perception of value co-creation (including…
Descriptors: MOOCs, Student Attitudes, Intention, Academic Persistence
Liu, Bowen; Wu, Yonghe; Xing, Wanli; Guo, Shouchao; Zhu, Lijuan – Interactive Learning Environments, 2023
3D design and modeling is an important part of design education. Self-directed learning (SDL) has been considered in order to effectively learn and teach 3D design and modeling. Exploring the relationship between students' SDL ability and their behavior in learning 3D design will not only promote the 3D design learning process and outcomes, but…
Descriptors: Independent Study, Computer Simulation, Design, Models
Xianglin Pan; Bihao Hu; Zihao Zhou; Xiang Feng – Interactive Learning Environments, 2023
Academic emotions of learners are important for academic achievement. For the online learning platform, it is of great value to gain insight into the academic emotion of the course in appropriate time interval from the platform. We crawled a large number of student comment texts from MOOC, and used deep learning algorithms (BERT models) to perform…
Descriptors: Emotional Experience, MOOCs, Student Attitudes, Academic Achievement
Yaser Hasan Al-Mamary; Aliyu Alhaji Abubakar; Mohammed Abdulrab – Interactive Learning Environments, 2024
The integrated ECM and the TAM were being used to identify the determining factors predicting students' intention to use the Learning Management System. The independent study was conducted solely focused at Gombe State University's Faculty of Art and Management Science in Nigeria. This was a quantitative research design wherein the online…
Descriptors: Learning Management Systems, Foreign Countries, Graduate Students, Educational Technology
Yu-Min Wang; Chung-Lun Wei; Hsin-Hui Lin; Sheng-Ching Wang; Yi-Shun Wang – Interactive Learning Environments, 2024
As artificial intelligence (AI) technology rapidly develops and is deployed, students increasingly need to understand and learn AI-related skills for future employment. This study investigates how students' AI learning anxiety and AI job replacement anxiety affect intrinsic/extrinsic learning motivations and subsequent AI learning intention. The…
Descriptors: Learning Processes, Artificial Intelligence, Anxiety, Employment Opportunities
Qiaoyi Huang; Yi Wei – Interactive Learning Environments, 2024
The active process of digitalisation of all spheres of human activity, defined as the Industrial Revolution 4.0, has a direct impact on the transformation of the education system and learning management in the direction of meeting the need for lifelong learning and adapting to the dynamically changing requirements of the global labour market. This…
Descriptors: Foreign Countries, Learning Management Systems, Educational Technology, Needs Assessment
Yun-Fang Tu; Gwo-Jen Hwang – Interactive Learning Environments, 2024
The present study employed the draw-a-picture technique and epistemic network analysis (ENA) to reveal university students' viewpoints on ChatGPT-supported learning, as well as the conceptions, roles, and educational objectives of ChatGPT-supported learning among university students with different learning attitudes. The results showed that…
Descriptors: College Students, Student Attitudes, Knowledge Level, Artificial Intelligence
Kosareva, Larisa; Demidov, Lev; Ikonnikova, Irina; Shalamov?, Olga – Interactive Learning Environments, 2023
This study examined the efficiency of teaching Russian as a foreign language (L2) in two groups of students -- the first benefited from the e-learning platform's capabilities (experimental), and the second underwent a traditional in-class course. Students learning Russian as L2 at People's Friendship University of Russia (Moscow, Russia) were…
Descriptors: Russian, Second Language Learning, Second Language Instruction, Comparative Analysis
Jin, Yuxi; Li, Ping; Wang, Wenxiao; Zhang, Suiyun; Lin, Di; Yin, Chengjiu – Interactive Learning Environments, 2023
We design a generative adversarial network (GAN)-based pencil drawing learning system for art education on large image datasets to help students study how to draw pencil drawings for images and scenes. The system generates a pencil drawing result for a natural image based on GAN. The GAN network is trained on pencil drawing big datasets containing…
Descriptors: Art Education, Learning Analytics, Learning Management Systems, Homework
Li, Jiansheng; Lin, Yuyu; Sun, Mingzhu; Shadiev, Rustam – Interactive Learning Environments, 2023
This study examined whether socially shared regulation of learning (SSRL) enhances students' algorithmic thinking performance, promotes learning participation and improves students' learning attitudes through game-based collaborative learning. The students learned algorithmic knowledge and completed programing tasks using Kodu, a new visual…
Descriptors: Cooperative Learning, Game Based Learning, Educational Environment, Algorithms
Jia-Hua Zhao; Patcharin Panjaburee; Gwo-Jen Hwang; Wararat Wongkia – Interactive Learning Environments, 2024
Scholars have suggested English classrooms with sufficient context and fun activities to increase English performance and promote learning motivation. With the rapid growth of technology-enhanced learning, virtual reality (VR) has become increasingly popular in English learning. Using VR without a well-designed learning environment, however, may…
Descriptors: Foreign Countries, Metacognition, Game Based Learning, Computer Simulation
Fussell, Stephanie G.; Truong, Dothang – Interactive Learning Environments, 2023
Virtual reality (VR) is the latest type of technology being developed and rapidly integrated into training environments. This study investigated students' intentions to use VR for training. The Technology Acceptance Model (TAM) was expanded to include two factors that are relevant to using VR in a dynamic learning environment. A survey of 310…
Descriptors: Computer Simulation, Aviation Education, Technology Uses in Education, Student Attitudes
Hua-yang Zhang; Yi-xin Wang; Wei Liu – Interactive Learning Environments, 2024
During the normalization of COVID-19 control measures, more and more high school students are learning through the Internet. With the widespread use of online teaching, students' internet self-efficacy has become an important factor in measuring students' online learning ability. Although researchers have been paying greater attention to the…
Descriptors: High School Students, Internet, Self Efficacy, Influence of Technology
Weng, Cathy; Puspitasari, Dani; Tran, Khanh Nguyen Phuong; Feng, Pei Jie; Awuor, Nicholas O.; Matere, Isaac Manyonge – Interactive Learning Environments, 2023
The purpose of this study was to investigate the effect of augmented reality (AR) using a 3D app in a smartphone on students' learning outcomes and satisfaction in teaching angle measurement error to vocational high school students with different spatial ability. A quasi-experimental pretest/posttest was employed. There were 197 students from…
Descriptors: Teaching Methods, Error of Measurement, Multimedia Instruction, Learning Processes
Yang, Yanxia; Wang, Xiangling – Interactive Learning Environments, 2023
Machine translation post-editing (MTPE) has become a common practice in translation industry, which calls much attention in academia. However, little research has been carried out to investigate students' cognitive and motivational individual differences in MTPE. The purpose of the present study was to examine the predictive effects of…
Descriptors: Translation, Computational Linguistics, Second Languages, Language Usage