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All Journal International Journal of Advances in Applied Sciences
Donghui, Xie
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Earth & Planetary Sciences Environmental Science Materials Science & Nanotechnology Mathematics Physics

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Big data assisted eco-learning environment framework for inclusive education Soon, JosephNg Poh; Lanlan, Pan; Ji, Yuehua; Luo, Jinxia; Yuen, Phan Koo; Donghui, Xie
International Journal of Advances in Applied Sciences Vol 14, No 1: March 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v14.i1.pp200-208

Abstract

Big data is profoundly changing education under inclusive education. Classroom interaction, a vital component in education, is gaining increased emphasis, driving research into learning environments that better meet interaction needs. Therefore, exploring the construction of a big data-assisted eco-learning environment for classroom interaction is a prospective study. This research focuses on constructing a big data-assisted ecological learning environment based on affordance theory. It examines the relationship among learning environment, classroom interaction, and learning outcomes, using SmartPLS for validation. Through controlled experiments, surveys, teacher-student interaction analysis, and interviews, the study explores learner behavior data. Findings show the big data-assisted eco-learning environment enhances English classroom interaction, thereby further improving learning outcomes, across dimensions like learning space, resource accessibility, technical support, and emotional support. Integrating big data with ecological theory offers insights into educational digitization, supporting flexible classroom interaction, and promoting education equity, inclusivity, and sustainable education through data-driven resource management.
Co-Authors Ji, Yuehua Lanlan, Pan Luo, Jinxia Soon, JosephNg Poh Yuen, Phan Koo