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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
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Liu, Zhi; Yang, Chongyang; Rüdian, Sylvio; Liu, Sannyuya; Zhao, Liang; Wang, Tai – Interactive Learning Environments, 2019
Textual data, as a key carrier of learning feedback, is continuously produced by many students within course forums. The temporal nature of discussion requires students' emotions and concerned aspects (e.g. teaching styles, learning activities, etc.) to be dynamically tracked for understanding learning requirements. To characterize dynamics of…
Descriptors: Online Courses, Student Attitudes, Emotional Response, Models
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Pozón-López, I.; Kalinic, Zoran; Higueras-Castillo, Elena; Liébana-Cabanillas, Francisco – Interactive Learning Environments, 2020
The purpose of this study is to classify the predictors of satisfaction and intention to use in Massive Open Online Courses (MOOC). Informed by a scientific literature review, this work poses a behavioral model to explain intention to use via various constructs. To this end, the authors have carried out a study through an online survey of Spanish…
Descriptors: Online Courses, Large Group Instruction, Predictor Variables, Student Satisfaction
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Sun, Di; Cheng, Gang; Xu, Pengfei; Zheng, Qinhua; Chen, Li – Interactive Learning Environments, 2019
With the development of online learning, LMSs accumulated huge amounts of students' interaction data. Unfortunately, with the support of LMSs data, few researchers put a sight on interaction research in MPOCs. Particularly, comparing interaction activity patterns of different achievement student groups and in different course processes in MPOCs…
Descriptors: Integrated Learning Systems, Online Courses, Educational Technology, Technology Uses in Education
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Mellati, Morteza; Khademi, Marzieh – Interactive Learning Environments, 2020
Modern educational technologies might be perceived as practical and sufficient equipment for presenting educational tasks that simulate authentic language use. Through a defined procedure, learning activities can be delivered in the course of technology-based apparatus to change, manipulate, and control learners' educational environments. Today's…
Descriptors: Online Courses, Large Group Instruction, Distance Education, Educational Technology
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Hsu, Jyh-Yih; Chen, Chia-Chen; Ting, Po-Feng – Interactive Learning Environments, 2018
Learning outcomes is mediated by multi-channel learning environment and social engagement. Both factors may play a significant role in understanding motivation to learn in massive open online courses (MOOCs). The goal of this study was twofold: a. to compare behavior intention patterns of traditional e-learning platform and MOOCs participants;…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Technology Uses in Education
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Cheng, Hercy N. H.; Liu, Zhi; Sun, Jianwen; Liu, Sanya; Yang, Zongkai – Interactive Learning Environments, 2017
The emergence of massive open online courses not only changes the ecology of higher education, but also facilitates a blending learning paradigm, also known as small private online courses (SPOCs). In order to understand how college students interact with an SPOC platform, this study collects their online behaviors for a semester and adopts a lag…
Descriptors: Online Courses, Higher Education, Blended Learning, Educational Technology