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Shuaizhen Jin; Zheng Zhong; Kunyan Li; Chen Kang – Education and Information Technologies, 2024
This study utilizes a comparative experimental research method to investigate the effect of the Predict, Observe, Explain, and Evaluate (POEE) learning strategy in an immersive virtual environment (IVE) on two types of learners with different levels of prior knowledge. One type referred to as Highly Experienced and Knowledgeable (HEK) learners,…
Descriptors: Active Learning, Inquiry, Prior Learning, Electronic Learning
Pitts, Phillippa – Journal of Museum Education, 2018
Using the case study of an unstaffed, interactive making space at the Portland Museum of Art, this article explores the potential for museums to facilitate visitor to visitor learning without the in-person assistance of a gallery educator. It offers concrete steps to design activities, environments, and supporting resources which prompt close…
Descriptors: Museums, Nonschool Educational Programs, Arts Centers, Active Learning
Andres, Hayward P. – Journal of Further and Higher Education, 2019
Given the recent reported common occurrence of mediocre or substandard academic performance by students in colleges and universities, it has become essential to identify pedagogical factors that might lessen or reverse this trend. Kolb's experiential learning, Pintrich's student learning motivation, and cognitive load theories were used as a…
Descriptors: College Instruction, Experiential Learning, Learning Motivation, Cognitive Processes
Childers, Carla; Hartman, Katie; Hiler, Jacob; Andzulis, Mick – Journal of Education for Business, 2020
Client projects have long been recognized for their value as an experiential learning device and as a way to increase a wide range of skills, including critical thinking and problem solving. The extant literature, however, has not fully explored the relationship among student attitudes, learning outcomes, and project evaluations. Through…
Descriptors: Student Attitudes, Marketing, Business Administration Education, Experiential Learning
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis

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