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Showing 31 to 45 of 146 results Save | Export
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Poitras, Eric; Butcher, Kirsten R.; Orr, Matthew; Hudson, Michelle A.; Larson, Madlyn – Interactive Learning Environments, 2022
This study mined student interactions with visual representations as a means to automate assessment of learning in a complex, inquiry-based learning environment. Log trace data of 143 middle school students' interactions with an interactive map in Research Quest (an inquiry-based, online learning environment) were analyzed. Students used the…
Descriptors: Middle School Students, Electronic Learning, Maps, Science Instruction
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Jung, Jaewon; Shin, Yoonhee; Zumbach, Joerg – Interactive Learning Environments, 2021
This study investigated the effects of pre-training types on the cognitive load, collaborative knowledge construction and level of learning in a computer-supported collaborative learning environment. Pre-training was provided to help learners optimise their cognitive load, build accurate shared-knowledge and achieve successful deep learning. The…
Descriptors: Cognitive Processes, Difficulty Level, Knowledge Level, Cooperative Learning
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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
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Zhi Quan; Lynn Grant; Darryl Hocking; Andy Connor – Interactive Learning Environments, 2024
In recent years, the emerging trend of mobile learning (hereinafter "m-learning") has obtained increasing attention from educators and higher popularity among students worldwide. Partly due to its short history, there seems to be a lack of comprehensive and in-depth understanding on the distinctiveness of m-learning. It is maintained in…
Descriptors: Electronic Learning, Technology Integration, Educational Technology, Computer Assisted Instruction
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Liu, Chenchen; Hwang, Gwo-Jen; Tu, Yun-fang; Yin, Yiqing; Wang, Youmei – Interactive Learning Environments, 2023
This study reviewed the mobile technology-supported music education (MTSME) studies published in several academic databases, namely Scopus, WOS, ERIC, and RILM, from 2008-2019. Based on the technology-based learning model, the application domains, research issues, sample groups, research methods, adopted devices, and learning strategies were…
Descriptors: Computer Assisted Instruction, Teaching Methods, Telecommunications, Handheld Devices
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Alexandra Zakharova; Katerina Evers; Sufen Chen – Interactive Learning Environments, 2023
Many studies have measured the effects of separate scaffolding methods for online learning, but the various methods are seldom directly compared to provide concrete teaching suggestions. This study aims to investigate the effects of three popular scaffolding methods on students' ability to obtain resume standards, course satisfaction and…
Descriptors: Scaffolding (Teaching Technique), Resumes (Personal), Writing Skills, Learner Engagement
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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
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Gulkilik, Hilal – Interactive Learning Environments, 2023
The purpose of this study was to analyze the prompts that preservice secondary mathematics teachers used for the acquisition of mathematics knowledge in dynamic geometry environment tasks. The participants, four preservice secondary mathematics teachers who were enrolled in a computer-supported mathematics education course, designed a dynamic…
Descriptors: Preservice Teachers, Geometry, Mathematics Teachers, Mathematics Instruction
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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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Kuo-Wei Kyle Lai; Hao-Jan Howard Chen – Interactive Learning Environments, 2024
Automatic speech recognition (ASR) technology affords language learners the ability to evaluate their pronunciation accuracy by comparing their intended spoken output with the transcribed text produced by ASR-based dictation applications. However, earlier dictation tools were criticized for producing low level recognition rates for non-native…
Descriptors: Computer Software, Computer Assisted Instruction, Technology Uses in Education, Assistive Technology
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Jie, Zhang; Sunze, Yu – Interactive Learning Environments, 2023
Digital education with mobile technology is becoming a global trend. This study considers language teachers' challenges related to open distance teaching in higher education. Twenty-eight university lecturers participated in the semi-structured interviews and expressed their opinions on how mobile technologies impacted the nature of teaching and…
Descriptors: Barriers, Teaching Methods, English (Second Language), Second Language Learning
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Hershkovitz, Arnon; Sitman, Raquel; Israel-Fishelson, Rotem; Eguíluz, Andoni; Garaizar, Pablo; Guenaga, Mariluz – Interactive Learning Environments, 2019
Many worldwide initiatives consider both creativity and computational thinking as crucial skills for future citizens, making them a priority for today's learners. We studied the associations between these two constructs among middle school students (N = 57), considering two types of creativity: a general creative thinking, and a specific…
Descriptors: Creativity, Creative Thinking, Computation, Computer Assisted Instruction
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Chen, Chih-Ming; Chen, I.-Chun – Interactive Learning Environments, 2021
In recent years, English instruction has emphasized the importance of listening comprehension; however, playing CDs in class is still the most widely used approach to practicing English listening skills in Taiwan. It is obvious that this training approach cannot satisfy individual needs, thus reducing the effect of promoting English listening…
Descriptors: Foreign Countries, Interactive Video, Second Language Learning, Second Language Instruction
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Xianghu Liu; Jingwen Pei – Interactive Learning Environments, 2023
New media are used by language learners and teachers inside and outside the classroom to improve basic language skills. This study investigated the uses of new media for enhancing reading skills, stimulating student motivation, and promoting learner autonomy within the context of the International English Language Testing System (IELTS). This…
Descriptors: Reading Instruction, Second Language Learning, Second Language Instruction, Language Tests
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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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