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Antje Boomgaarden; Katharina Loibl; Timo Leuders – Interactive Learning Environments, 2023
PS-I learning approaches with an initial problem-solving phase (PS) followed by an instruction phase (I) can be optimised by providing adaptive (individualised) instruction that builds on students' problem-solving products. A computer-based implementation of both phases offers the possibility of adaptivity at the transition from the…
Descriptors: Computer Assisted Instruction, Technology Uses in Education, Fractions, Educational Environment
Christopher Ortega; Angelica Rose Agregado; Earl Xander Gabas; Cheerielyn Amado; Jilbrix Kyle Magno; Arnel Guerrero; Romes Gabriel Alaon; Mark Anthony R. Aribon III – Interactive Learning Environments, 2024
Learning history is vital for students' intellectual, spiritual, emotional, and physical development. Students perceive history subject as difficult and boring because they must memorize facts and understand those facts, concepts, time, and historical events. Interactive multimedia can increase students' enthusiasm and make the teaching and…
Descriptors: Game Based Learning, Educational Games, Usability, Instructional Materials
Qi-Fan Yang; Han Lin; Gwo-Jen Hwang; Pei-Yao Su; Jia-Hua Zhao – Interactive Learning Environments, 2024
In science education, chemistry is a discipline that involves macroscopic matter and microscopic particles. It is difficult for the traditional teaching approach to help learners comprehend abstract chemical knowledge. Researchers have attempted to use Virtual Reality (VR) to help learners realize meaningful knowledge via visualizing the learning…
Descriptors: Foreign Countries, Junior High School Students, Grade 9, Chemistry
Changhao Liang; Rwitajit Majumdar; Yuta Nakamizo; Brendan Flanagan; Hiroaki Ogata – Interactive Learning Environments, 2024
In-class group work activities are found to promote the interpersonal skills of learners. To support the teachers in facilitating such activities, we designed a learning analytics-enhanced technology framework, Group Learning Orchestration Based on Evidence (GLOBE) using data-driven approaches. In this study, we implemented the algorithmic group…
Descriptors: Algorithms, Group Dynamics, Group Activities, Learning Analytics
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
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
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
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
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
Ramirez, Hazel Joyce M.; Monterola, Sheryl Lyn C. – Interactive Learning Environments, 2022
Computer-supported collaborative learning (CSCL) is a technology-driven inquiry-based approach that encourages social interaction and shared knowledge construction in completing computer-aided tasks. Although there were researches carried out on CSCL, no research to date has extensively examined how CSCL enhanced with scripts containing…
Descriptors: Earth Science, Logical Thinking, Cooperative Learning, Computer Assisted Instruction
Zydney, Janet Mannheimer; Bathke, Arne; Hasselbring, Ted S. – Interactive Learning Environments, 2014
This study investigated the effect of different methods of guidance with anchored instruction on students' mathematical problem-solving performance. The purpose of this research was to iteratively design a learning environment to find the optimal level of guidance. Two iterations of the software were compared. The first iteration used explicit…
Descriptors: Computer Assisted Instruction, Mathematics Instruction, Instructional Effectiveness, Problem Solving
Huang, Chenn-Jung; Chang, Shun-Chih; Chen, Heng-Ming; Tseng, Jhe-Hao; Chien, Sheng-Yuan – Interactive Learning Environments, 2016
Structured argumentation support environments have been built and used in scientific discourse in the literature. However, to the best our knowledge, there is no research work in the literature examining whether student's knowledge has grown during learning activities with asynchronous argumentation. In this work, an intelligent computer-supported…
Descriptors: Learning Activities, Cooperative Learning, Natural Sciences, Science Education
Lin, Yu-Tzu; Chang, Chia-Hu; Hou, Huei-Tse; Wu, Ke-Chou – Interactive Learning Environments, 2016
This study investigated the effectiveness of using Google Docs in collaborative concept mapping (CCM) by comparing it with a paper-and-pencil approach. A quasi-experimental study was conducted in a physics course. The control group drew concept maps using the paper-and-pencil method and face-to-face discussion, whereas the experimental group…
Descriptors: Internet, Search Engines, Concept Mapping, Cooperative Learning
Jacobson, Michael J.; Taylor, Charlotte E.; Richards, Deborah – Interactive Learning Environments, 2016
In this paper, we propose computational scientific inquiry (CSI) as an innovative model for learning important scientific knowledge and new practices for "doing" science. This approach involves the use of a "game-like" virtual world for students to experience virtual biological fieldwork in conjunction with using an agent-based…
Descriptors: Science Instruction, Scientific Research, Computer Simulation, Teaching Methods