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Duan, JinJu; Lu, Lin; Xie, Kui – Interactive Learning Environments, 2023
Knowledge construction can be facilitated through different types of social interactive environment. A knowledge network environment (KN) develops a knowledge-centered network visualizing the structure of collective knowledge. A social network environment (SN) creates a people-centered network visualizing the social relationships among people.…
Descriptors: Educational Environment, Cooperative Learning, Social Networks, Interpersonal Relationship
Lin, Jian-Wei; Tsai, Chia-Wen; Hsu, Chu-Ching – Interactive Learning Environments, 2023
Different e-learning technologies may offer different incentive factors, which influence behavioural intention. Moreover, when adopting a new e-learning technology for an extended period, learners' perceptions and learning behaviour may change during the learning period. Unfortunately, as formative assessments (FAs) are often continuously…
Descriptors: Comparative Analysis, Evaluation Methods, Formative Evaluation, Game Based Learning
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
Jing Peng – Interactive Learning Environments, 2024
Playing musical instruments involves a high level of skill based on the harmonious and esthetic reproduction of notes. The main aim of this study is to determine the impact of MusicFlow, an interactive music composition system, on the development of students' piano skills. The article also used a survey to determine the potential of using digital…
Descriptors: Musical Instruments, Music Education, Musical Composition, Computer Software
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
Reisoglu, Ilknur; Çebi, Ayça; Bahçekapili, Tugba – Interactive Learning Environments, 2022
While the impact of behavioural and cognitive processes on online information searching behaviours have been studied in some depth, little is known about the impact of procedural and metacognitive processes on online information searching behaviours. In addition, although the literature contains studies examining online information searching…
Descriptors: Online Searching, Information Seeking, Cognitive Style, Cognitive Processes
Chi-Cheng Chang; Szu-Ting Yang – Interactive Learning Environments, 2024
This study aimed to investigate the differences in learners' emotion, cognitive load, and cognitive performance among various scaffolding DGBLs, and the influences of emotion and cognitive load on cognitive performance when using DGBLs. Participants were 97 adult learners from some community college, randomly divided into the control group with 32…
Descriptors: Psychological Patterns, Cognitive Processes, Self Efficacy, Game Based Learning
Alshurideh, Muhammad; Al Kurdi, Barween; Salloum, Said A.; Arpaci, Ibrahim; Al-Emran, Mostafa – Interactive Learning Environments, 2023
Despite the plethora of m-learning acceptance studies, few have tackled the importance of examining the actual use of m-learning systems from the lenses of social influence, expectation-confirmation, and satisfaction. Additionally, most of the prior technology adoption literature tends to use the structural equation modeling (SEM) technique in…
Descriptors: Electronic Learning, Prediction, Least Squares Statistics, Structural Equation Models
Yung-Hsiang Hu; Jo Shan Fu; Hui-Chin Yeh – Interactive Learning Environments, 2024
Artificial intelligence aims to restructure and process re-engineering education and teaching processes and accelerate the evolution of the whole education system from information to intelligence. Robotic Process Automation (RPA) robots learn by observing people at work, analyzing user processes repeatedly, and adjusting or correcting automated…
Descriptors: Intelligent Tutoring Systems, Robotics, Automation, Instructional Effectiveness
Shadiev, Rustam; Wang, Xueying; Liu, Taoying; Yang, Mengke – Interactive Learning Environments, 2023
Fifty-one learning strategies were developed and validated in this study to make language learners more knowledgeable about unfamiliar environments. The study tested the effectiveness of the strategies in improving the creativity of students. 75 university students participated in the study and they were divided into three groups: (1) students who…
Descriptors: Foreign Countries, Experiential Learning, English (Second Language), Educational Environment
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
Ching-Yi Chang; Patcharin Panjaburee; Shao-Chen Chang – Interactive Learning Environments, 2024
Educators have recognized the importance of providing a realistic learning environment which helps learners to not only comprehend learning content, but also to link the content to practical problems. Such an environment can hence foster problem-solving skills in nursing training. However, when learners interact in a virtual environment with rich…
Descriptors: Artificial Intelligence, Context Effect, Nursing Education, Technology Integration
Min-Chi Chiu; Gwo-Jen Hwang; Lu-Ho Hsia; Fong-Ming Shyu – Interactive Learning Environments, 2024
In a conventional art course, it is important for a teacher to provide feedback and guidance to individual students based on their learning status. However, it is challenging for teachers to provide immediate feedback to students without any aid. The advancement of artificial intelligence (AI) has provided a possible solution to cope with this…
Descriptors: Art Education, Artificial Intelligence, Teaching Methods, Comparative Analysis
Obeid, Samah; Demirkan, Halime – Interactive Learning Environments, 2023
With the recent advancements in digital technologies, the design studios are transformed to virtual environments that offer both to design students and instructors a broader perspective in understanding the design process. As an integral part of design process, the supporting virtual tools enhance creativity in basic design studios. This study…
Descriptors: Creativity, Design, Teaching Methods, Computer Simulation
Radosavljevic, Slavica; Radosavljevic, Vitomir; Grgurovic, Biljana – Interactive Learning Environments, 2020
The goal of higher vocational education is professional training of students. Teaching contents related to practical training are the most important for preparing students for work in real-life conditions. The mobile learning model presented in this paper analyzes the possibility of implementing augmented reality in the process of educating…
Descriptors: Telecommunications, Handheld Devices, Computer Simulation, Models