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Jia Yang; Fang-Fang Yan; Tingting Wang; Zile Wang; Qingshang Ma; Jinmei Xiao; Xianyuan Yang; Zhong-Lin Lu; Chang-Bing Huang – npj Science of Learning, 2025
Learning to perform multiple tasks robustly is a crucial facet of human intelligence, yet its mechanisms remain elusive. Here, we formulated four hypotheses concerning task interactions and investigated them by analyzing training sequence effects through a continual learning framework. Forty-nine subjects learned seven tasks sequentially, each of…
Descriptors: Sequential Learning, Interference (Learning), Prior Learning, Perceptual Motor Learning
Ruzhang Cheng – Journal of Educational Computing Research, 2025
This research examines the impact of online help-seeking strategies--both adaptive and peer-based--on promoting self-regulated and collaborative learning skills, as well as language learning outcomes, among Chinese EFL learners in computer-assisted language learning (CALL) environments. Employing a mixed-methods approach, the study triangulates…
Descriptors: Help Seeking, English (Second Language), Second Language Learning, Electronic Learning
Xuyang Chen; Nirat Jantharajit; Phichittra Thongpanit – Journal of Education and Learning, 2025
Purpose: This study aims to evaluate the effectiveness of combining Collaborative Learning (CL) and Task-Based Learning Teaching (TBLT) in enhancing vocational students' analytical reading ability and writing skills. Method: Conducted at a vocational college in southern China, the study involved 192 students divided into an experiment group (n=25)…
Descriptors: Cooperative Learning, Career and Technical Education, Foreign Countries, Experiential Learning
Yunyun Liu; Yinghua Ye – European Journal of Psychology of Education, 2025
Self-regulated learning (SRL) is the key variable to ensuring success or failure in online learning. However, in real-world online learning, college students face SRL deficiency, such as procrastination, decreased learning motivation, poor time management, and resource management. Therefore, scientifically exploring how to effectively promote the…
Descriptors: Individualized Instruction, Cooperative Learning, Electronic Learning, Small Group Instruction
Jing Wu; Zimin Yuan; Qi Xu – Asia-Pacific Education Researcher, 2025
Task motivation is critical to learners' task performance. However, scant studies have examined learners' task motivation in the translation continuation task based on the "xu"-argument, an emerging view on language acquisition. This exploratory study examined how Chinese English as Foreign Language (EFL) learners' task motivation…
Descriptors: Foreign Countries, Higher Education, College Students, English (Second Language)
Xiaoquan Pan; Ling Lin – Educational Technology Research and Development, 2025
In the wake of network technology and with the flourishing development of online learning, online presence is beginning to be conceptualized as a pivotal determinant affecting students' cognitive and learning behaviors in the online landscapes. However, how online presence influences students' technology-enhanced language learning experience…
Descriptors: Undergraduate Students, College English, Second Language Learning, English (Second Language)
Jingyun Wang; Adam Wynn; Takahiko Mendori; Gwo-Jen Hwang – Smart Learning Environments, 2024
This study investigates the effect of studying with topic maps provided by a self-developed language learning support system on (a) learning perception, (b) learning achievement and (c) variation in learning attitude and motivation, from the perspective of prior learning attitude, motivation and learning style. An analysis was conducted on the…
Descriptors: Foreign Countries, Learning Management Systems, Grammar, Concept Mapping
Qianqi Gui; Supawadee Kanjanakate; Nirat Jantharajit – World Journal of Education, 2024
This article reviews the application of active learning and collaborative learning in music education, focusing on their combined impact on students' musical performance skills and learning attitudes. Through an analysis of existing literature, this study identifies key theoretical perspectives and practical applications of these approaches. A…
Descriptors: Music Education, Active Learning, Cooperative Learning, Music Activities
Yangyang Luo; Xibin Han; Chaoyang Zhang – Asia Pacific Education Review, 2024
Learning outcomes can be predicted with machine learning algorithms that assess students' online behavior data. However, there have been few generalized predictive models for a large number of blended courses in different disciplines and in different cohorts. In this study, we examined learning outcomes in terms of learning data in all of the…
Descriptors: Prediction, Learning Management Systems, Blended Learning, Classification
Gülfem Gürses; Aysenur I?nceelli – Turkish Online Journal of Educational Technology - TOJET, 2024
ICAP is a framework that classifies learning processes based on students' explicit behaviors. The framework is developed for testing the hypothesis that interactive exercises are better than constructive exercises, and active exercises are better than the passive exercises for higher cognitive engagement and better learning outcomes. The ICAP…
Descriptors: Learning Processes, Learning Theories, Classification, Active Learning
Shuzhou Lin; Wei Wei – Cogent Education, 2024
The benefits of using social annotations to promote collaborative learning experiences have been investigated in the context of digital reading and listening, while its implications in multimedia learning contexts remain unclear. To investigate the influence of social annotations on multimedia language learning, we invited 16 African participants…
Descriptors: Foreign Countries, Foreign Students, Second Language Learning, Chinese
Xian Li; Jiying Han – Asia-Pacific Education Researcher, 2024
Taking the L2 Motivational Self System (L2MSS) model as its theoretical basis, this study aimed to extend knowledge of the learning motivation of Korean language learners. A survey questionnaire was administered to 967 Korean language learners at 28 universities in China to investigate their motivation for learning the Korean language and the…
Descriptors: Foreign Countries, Second Language Learning, Korean, College Students
Ran Bao; Sile Liang – International Journal of Distance Education Technologies, 2024
Scholars have long delved into the realm of MOOCs. However, with the proliferation of diverse platforms hosting course videos, it was realized that learning experiences may vary across these platforms. Hence, this research explores the forums within two distinct online learning platforms: the formal MOOC and the informal video-sharing platform.…
Descriptors: MOOCs, Video Technology, Learning Motivation, Behavior
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
Yuxiao Xie; Ziyi Xie; Siyu Chen; Lei Shen; Zhizhuang Duan – Education and Information Technologies, 2025
The National College English Test Band 4 (CET-4) is a key test to assess the English language ability of Chinese university students, and the success rate of the test is important to improve the quality of their English learning. Artificial intelligence technology can be used to predict and explore the factors influencing the success rate. This…
Descriptors: Language Tests, English (Second Language), Second Language Learning, Second Language Instruction