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Showing 1 to 15 of 94 results Save | Export
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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
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Ruofei Zhang; Di Zou; Gary Cheng – Interactive Learning Environments, 2024
The chatbot has been increasingly applied and investigated in education, along with many review studies from different aspects. However, few reviews have been conducted on chatbot-assisted learning from the pedagogical and implementational aspects, which may provide implications for future application and investigation of educational chatbots. To…
Descriptors: Artificial Intelligence, Synchronous Communication, Computer Software, Teaching Methods
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Jo-Chi Hsiao; Jason S. Chang – Interactive Learning Environments, 2024
During the COVID-19 pandemic, global teachers gained extensive experiences with teaching online courses. To design quality online courses in the post-pandemic era, the impact of the latest technology, such as artificial intelligence (AI), must be considered. Investigating how teachers incorporate AI-powered tools and how students perceive learning…
Descriptors: Artificial Intelligence, Technology Uses in Education, Electronic Learning, English (Second Language)
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Seungoh Paek; Daniel L. Hoffman; John B. Black – Interactive Learning Environments, 2023
The aim of this study was to examine if--and to what extent--a sensory modality's conceptual congruency influences learning in digital environments. Building on previous work in multimedia and embodied learning, the study used custom software to systematically vary the conceptual congruency of two sensory modalities (aural and bodily-kinesthetic).…
Descriptors: Sensory Experience, Electronic Learning, Elementary School Students, Learning Modalities
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Kam Hong Shum; Samuel Kai Wah Chu; Cheuk Yu Yeung – Interactive Learning Environments, 2023
This study examines the use of data analytics to evaluate students' behaviours during their participation in an online collaborative learning environment called SkyApp. To visualise the learning traits of engagement, emotion and motivation, students' inputs and activity data were captured and quantified for analysis. Experiments were first carried…
Descriptors: Student Behavior, Online Courses, Cooperative Learning, Computer Software
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George Kalmpourtzis; Margarida Romero – Interactive Learning Environments, 2024
Taking into account the profound impact of technology on modern education, especially during the COVID-19 pandemic, increasing academic interest has focused towards the design and application of such tools on different learning contexts. A specific area of Human-Computer Interaction, called affordance theory, focuses on the perception, design and…
Descriptors: Robotics, Artificial Intelligence, Computer Software, Teaching Methods
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Chin-Hsi Lin; Keyi Zhou; Shiyun Yang; Zhong Sun – Interactive Learning Environments, 2023
Mobile technology is one of the most important approaches to facilitating vocabulary learning. However, despite an increasing use of mobile devices for this purpose, there is currently no dedicated evaluation framework to examine whether the vocabulary-learning applications on the market are well designed. Building on prior research from the…
Descriptors: Vocabulary Development, English (Second Language), Second Language Learning, Second Language Instruction
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Zoran Sevarac; Jelena Jovanovic; Vladan Devedzic; Bojan Tomic – Interactive Learning Environments, 2023
The paper proposes EXPLODE, a new model of exploratory learning environment for teaching and learning neural networks. The EXPLODE model is about pedagogically instrumenting a software development environment to transform it into an exploratory learning environment for neural networks. Such an environment is particularly aimed for students who are…
Descriptors: Models, Discovery Learning, Artificial Intelligence, Computer Simulation
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Aguilar, J.; Buendia, O.; Pinto, A.; Gutiérrez, J. – Interactive Learning Environments, 2022
Social Learning Analytics (SLA) seeks to obtain hidden information in large amounts of data, usually of an educational nature. SLA focuses mainly on the analysis of social networks (Social Network Analysis, SNA) and the Web, to discover patterns of interaction and behavior of educational social actors. This paper incorporates the SLA in a smart…
Descriptors: Learning Analytics, Cognitive Style, Socialization, Social Networks
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Ricke, Audrey – Interactive Learning Environments, 2022
Fostering student-student and student-faculty interactions involves not only pedagogical design but also classroom technology. Image-sharing projection software, which allows multiple students to simultaneously share images from their electronic devices to the classroom's screens, offers a new form of communication in medium to large-size social…
Descriptors: Teacher Student Relationship, Peer Relationship, Interaction, Computer Software
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Yuan, Chia-Ching; Li, Cheng-Hsuan; Peng, Chin-Cheng – Interactive Learning Environments, 2023
Fighter jets are a critical national asset. Because of the high cost of their manufacture and that of their related equipment, both pilots and maintenance personnel must complete intensive training before coming into contact with a jet. Due to gradual military downsizing, one-on-one training is often impracticable, and the level of familiarization…
Descriptors: Artificial Intelligence, Man Machine Systems, Technology Uses in Education, Educational Technology
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Thomas K. F. Chiu – Interactive Learning Environments, 2024
Generative artificial intelligence (GenAI) tools have become increasingly accessible and have impacted school education in numerous ways. However, most of the discussions occur in higher education. In schools, teachers' perspectives are crucial for making sense of innovative technologies. Accordingly, this qualitative study aims to investigate how…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Standards
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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
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Seng Chee Tan; Chee Kit Looi; Yin Ling Cheung; Sheng Hung Chung; Starion Junhan Lim; Wai Hoe Wong – Interactive Learning Environments, 2023
This study focuses on university students' experience of peer tutoring supported by a mobile application called MENTOR (Mobile Education Networked Tutoring On Request) that was developed by the research team. The development of the mobile application was underpinned by theories related to self-directed learning, self-regulated learning, students'…
Descriptors: Peer Teaching, Synchronous Communication, Student Attitudes, Computer Software
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Alicia Ndegwa; Mar Gutiérrez-Colón; Marni Manegre – Interactive Learning Environments, 2024
The on-going implementation of the new curriculum of the new education system in Kenya includes the administration of technology in the classroom. In this study, this was achieved through the use of a gamified app in a local private school in Kenya, a gamified Swahili app. As Swahili is the language that is Kenya's national and one of two official…
Descriptors: Foreign Countries, Reading Comprehension, African Languages, Comparative Analysis
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