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Direct linkWang, Annie; Thompson, Meredith; Roy, Dan; Pan, Katharine; Perry, Judy; Tan, Philip; Eberhart, Rik; Klopfer, Eric – Interactive Learning Environments, 2022
This study focuses on an educational game titled "Cellverse," a two-player cross-platform VR project intended to teach high school biology students about cell structure and function. In "Cellverse," players work in pairs to explore a human lung cell and diagnose and treat a dangerous genetic disorder. "Cellverse" is…
Descriptors: Educational Games, Computer Games, Computer Simulation, Instructional Design
Qi Wang; Shengquan Yu – Interactive Learning Environments, 2024
Learning resources are quite important for online learning while resource provision based on algorithms could not address learners' ubiquitous needs well. Moreover, the structure and content of resources are pre-defined which makes the "Structure" and "Content" coupled closely and could not easily adjust when learners' needs…
Descriptors: Electronic Learning, Educational Resources, Automation, Models
Hasan Zuhtu Okulu; Nilay Muslu – Interactive Learning Environments, 2024
ChatGPT holds significant potential for enhancing learning through integration into education as an advanced chatbot. With the goal of harnessing this potential, our research focused on exploring the utilization of ChatGPT in designing a course plan for pre-service science teachers. We adopted a qualitative research approach and employed ChatGPT…
Descriptors: Preservice Teachers, Science Teachers, Science Instruction, Instructional Design
Danhua Zhou – Interactive Learning Environments, 2024
Online scientific argumentation activities have significant value for students' cognitive ability. The purpose of this study was to solve the issues of online scientific argumentation. Firstly, the influences of online scientific argumentation were classified into "Learn to Argue" and "Argue to Learn" abilities. And then the…
Descriptors: Meta Analysis, Instructional Design, Instructional Effectiveness, Electronic Learning
Jacobson, Michael J.; Kim, Beaumie; Pathak, Suneeta; Zhang, BaoHui – Interactive Learning Environments, 2015
This research explores issues related to the sequencing of structure that is provided as pedagogical guidance. A study was conducted that involved grade 10 students in Singapore as they learned concepts about electricity using four NetLogo Investigations of Electricity agent-based models. It was found that the low-to-high structure learning…
Descriptors: Grade 10, High School Students, Energy, Pretests Posttests
Cai, Su; Chiang, Feng-Kuang; Sun, Yuchen; Lin, Chenglong; Lee, Joey J. – Interactive Learning Environments, 2017
Educators must address several challenges inherent to the instruction of scientific disciplines such as physics -- expensive or insufficient laboratory equipment, equipment error, difficulty in simulating certain experimental conditions. Augmented reality (AR) can be a promising approach to address these challenges. In this paper, we discuss the…
Descriptors: Computer Simulation, Simulated Environment, Science Instruction, Physics
Liu, Han-Chin; Chuang, Hsueh-Hua – Interactive Learning Environments, 2011
This study investigated how the format of verbal instructions in computer simulations and prior knowledge (PK) affected 8th graders' cognitive load (CL) level and achievement in a multimedia learning environment. Although PK was not found to significantly affect student performance and CL level, instruction format was found to impact both.…
Descriptors: Electronic Learning, Instructional Design, Prior Learning, Grade 8
Smits, Marieke H. S. B.; Boon, Jo; Sluijsmans, Dominique M. A.; van Gog, Tamara – Interactive Learning Environments, 2008
This study investigated the effectiveness of different types of feedback content (elaborate versus global) and feedback timing (immediate versus delayed) for learning genetics in a web-based learning environment as a function of learners' prior knowledge. It was hypothesized that learning outcomes of students with low prior knowledge would be…
Descriptors: Feedback (Response), Student Attitudes, Computer Assisted Instruction, Prior Learning
