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Liu, Na; Pu, Quanlin – Interactive Learning Environments, 2023
One-to-one online learning has become pervasive in distance education. However, factors affecting learners' continuance intention toward one-to-one online learning are not well known. This study proposed a model to explain learners' continuance intention toward one-to-one online learning. The model extends previous technology acceptance models and…
Descriptors: Intention, Individualized Instruction, Electronic Learning, Distance Education
Li Jin; Dawei Shang – Interactive Learning Environments, 2024
Massive open online courses (MOOC) have become important in the learning process and have been adopted in higher education, especially during the COVID-19 pandemic. However, few studies investigated MOOC continuance intention (CI) for arts disciplines. Thus, an integrated framework was proposed based on the expectation-confirmation model (ECM) and…
Descriptors: Art Education, MOOCs, Computer System Design, Continuing Education
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
Lertnattee, Verayuth; Wangwattana, Bunyapa – Interactive Learning Environments, 2021
In the academic year of 2019, the designed personalized learning and assessment was applied to the fourth-year pharmacy students who registered for the Pharmacognosy Laboratory in the Faculty of Pharmacy, Silpakorn University. We allowed all students to do the experiment as they preferred. We created a personalized assessment that allowed the…
Descriptors: Individualized Instruction, Pharmaceutical Education, Laboratory Equipment, Identification
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
Sherry Y. Chen; Chia-Yi Tseng; Chao-Yang Cheng – Interactive Learning Environments, 2023
This study proposed a three-tier test to help students learn English grammar. To reduce students' anxiety, game-based learning was incorporated into the three-tier test, where personalization was also implemented to accommodate students' different needs. More specifically, we developed a Personalized Entertaining Three-Tier Test (PET3), which…
Descriptors: English (Second Language), Language Tests, Grammar, Game Based Learning
Zhang, Lishan; Pan, Mengqi; Yu, Shengquan; Chen, Ling; Zhang, Jing – Interactive Learning Environments, 2023
This paper introduces a system that supports student-centered online one-to-one tutoring and evaluates the practical value of the system by running an experiment with 64 experienced mathematics teachers and 810 students in Grade 7. The experiment lasted for 50 days. A comprehensive evaluation was performed using students' academic performance…
Descriptors: Mathematics Teachers, Grade 7, Middle School Students, Middle School Teachers
Fiedler, Sebastian H. D.; Väljataga, Terje – Interactive Learning Environments, 2020
This paper argues for conceptualizing the notion of personal learning environments in higher education from an explicit adult education perspective that emphasizes the realization, re-instrumentation, and integration of learning activity in the wider context of adult life. It discusses and re-interprets an existing proposal for modeling "the…
Descriptors: Individualized Instruction, Adult Students, Adult Education, Higher Education
Hsu, Yuling – Interactive Learning Environments, 2023
Computer simulations have become widely available to support geometric learning; however, the type and amount of guidance, as well as the freedom to engage in self-directed learning that should be allowed for children from differential socio-cultural backgrounds, have not yet been clarified. On the basis of the cognitive theory of multimedia…
Descriptors: Elementary School Students, Grade 5, Geometric Concepts, Computer Mediated Communication
Xu, Xiaoshu; Zhu, Xiaoshen; Chan, Fai Man – Interactive Learning Environments, 2023
Personal Learning Environment (PLE) represents a shift of learning paradigm towards learner-centered pedagogy, where users become masters of their own learning. PLEs are best used by learners with Self-Regulated Learning (SRL) abilities. Previous research showed that learners felt lost or socially isolated in PLEs due to their limited SRL…
Descriptors: Educational Environment, Individualized Instruction, Pilot Projects, College Students
Li, Kam Cheong; Wong, Billy Tak-Ming – Interactive Learning Environments, 2021
This paper provides a comprehensive review of the features and trends of personalised learning. The review covers a total of 203 journal articles collected from Scopus, which were published from 2001 to 2018 and involved personalised learning practices. Comparing the practices between 2001-2009 and 2010-2018, there was a clear trend that they…
Descriptors: Individualized Instruction, Educational Trends, Literature Reviews, Technology Uses in Education
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
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
Zhang, Jia-Hua; Zou, Liu-cong; Miao, Jia-jia; Zhang, Ye-Xing; Hwang, Gwo-Jen; Zhu, Yue – Interactive Learning Environments, 2020
Extensive studies have been conducted to diagnose and predict students' academic performance by analyzing a large amount of data related to their learning behaviors in a blended learning environment. But there is a lack of research examining how individualized learning interventions could improve students' academic performance in such a learning…
Descriptors: Individualized Instruction, Academic Achievement, Interaction, Blended Learning
Chaloupský, David; Chaloupská, Pavlína; Hrušová, Dagmar – Interactive Learning Environments, 2021
The research focuses on learning methods that address individual differences, motivation and training goals in fitness running. The aim was to examine the possibilities of use of fitness trackers in smart phones for fitness running lessons. The core of the study was to design and implement an innovative blended learning model to individualize the…
Descriptors: Foreign Countries, Physical Education, Health Related Fitness, Measurement Equipment

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