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Wang, Shuai; Christensen, Claire; Cui, Wei; Tong, Richard; Yarnall, Louise; Shear, Linda; Feng, Mingyu – Interactive Learning Environments, 2023
Adaptive learning systems personalize instruction to students' individual learning needs and abilities. Such systems have shown positive impacts on learning. Many schools in the United States have adopted adaptive learning systems, and the rate of adoption in China is accelerating, reaching almost 2 million unique users for one product alone in…
Descriptors: Comparative Analysis, Teaching Methods, Intelligent Tutoring Systems, Foreign Countries
Li Xiangming; Xuening Li; Jingshun Zhang – Interactive Learning Environments, 2024
In this paper, we report a 12-week longitudinal study aiming at exploring the students' reading outcome and cognitive load with individual-based print, mobile app of Rain Classroom and collaboration-based social media of WeChat. Administered to 186 postgraduate students in a research university were the weekly reading materials and comprehension…
Descriptors: Outcomes of Education, Reading, Cognitive Processes, Difficulty Level
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Interactive Learning Environments, 2024
This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined 1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction and 2)…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Ting-Chia Hsu; Ching Chang; Tien-Hsiu Jen – Interactive Learning Environments, 2024
Young learners' vocabulary learning needs interaction with language input when they are engaged in an activity. Given that AI-supported image recognition technologies offer hands-on learning in authentic contexts, and that self-regulated learning (SRL) enables learners to monitor and evaluate their learning when interacting with multi-sensory…
Descriptors: Metacognition, Multisensory Learning, Vocabulary Development, Learning Strategies
Mark Johnson; Rafiq Saleh – Interactive Learning Environments, 2024
Educational assessment is inherently uncertain, where physiological, psychological and social factors play an important role in establishing judgements which are assumed to be "absolute". AI and other algorithmic approaches to grading of student work strip-out uncertainty, leading to a lack of inspectability in machine judgement and…
Descriptors: Artificial Intelligence, Evaluation Methods, Technology Uses in Education, Man Machine Systems
Ramirez, Hazel Joyce M.; Monterola, Sheryl Lyn C. – Interactive Learning Environments, 2022
Computer-supported collaborative learning (CSCL) is a technology-driven inquiry-based approach that encourages social interaction and shared knowledge construction in completing computer-aided tasks. Although there were researches carried out on CSCL, no research to date has extensively examined how CSCL enhanced with scripts containing…
Descriptors: Earth Science, Logical Thinking, Cooperative Learning, Computer Assisted Instruction
Lan, Pei-Shan; Liu, Ming-Chou; Baranwal, Divya – Interactive Learning Environments, 2023
This research is designed to find out whether joining an online community combined with contract learning can enhance the learning motivation of students, promote their self-regulated learning, and improve their academic achievements. In this regard, quasi-experiment research was conducted at primary level students in which the experimental group…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Elementary School Students
Johnson, Mark William; Rodriguez-Arciniegas, Svetlana; Kataeva, Anna Nikolaevna – Interactive Learning Environments, 2023
The way in which informal learning in a Personal Learning Environment (PLE) is coordinated is poorly understood. Conversation -- with teachers, friends or family -- contributes to the processes involved in meaningfully negotiating resources. While institution-centric education creates contexts for conversations and codifies educational attainment,…
Descriptors: Informal Education, Independent Study, Concept Formation, Cybernetics
Gang Yang; Xiao-Qian Zheng; Qian Li; Miao Han; Yun-Fang Tu – Interactive Learning Environments, 2024
In Chinese, writing is a basic competency that pupils should possess. But it is still challenging for teachers to improve pupils' writing abilities. Therefore, this study proposes an intelligence-based cognitive diagnostic feedback strategy to improve pupils' writing ability and writing learning quality by analyzing their writing performance,…
Descriptors: Foreign Countries, Elementary School Students, Vocabulary Skills, Comparative Analysis
Xia, Xiaona – Interactive Learning Environments, 2023
The interactive learning is a continuous process, which is full of a large number of learning interaction activities. The data generated between learners and learning interaction activities can reflect the online learning behaviors. Through the correlation analysis among learning interaction activities, this paper discusses the potential…
Descriptors: Behavior Patterns, Learning Analytics, Decision Making, Correlation
Zou, Di; Wang, Minhong; Xie, Haoran; Cheng, Gary; Wang, Fu Lee; Lee, Lap-Kei – Interactive Learning Environments, 2021
Personalized learning has become an important and powerful paradigm catering for various needs, styles, preferences, and modes of learning. Several methods including task recommendations and path planning have recently emerged to effectively implement personalized learning using e-learning systems. The literature shows that the use of task…
Descriptors: Linguistic Theory, Vocabulary Development, Second Language Learning, Second Language Instruction
Bin Jing; Jinrong Liu; Xue Gong; Yangli Zhang; Haojie Wang; Changcheng Wu – Interactive Learning Environments, 2024
An increasing number of MOOCs use learning videos featuring an instructor and slides, but there are few specific guidelines for the design of instructor images for these videos. A pedagogical agent (PA) is a kind of virtual instructor image in a learning video, and its image design is mostly guided by anthropomorphism. Our research attempts to…
Descriptors: Video Technology, Educational Technology, MOOCs, Imagery
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
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
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

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