Title: Harness big data by iCycle: intelligent computer-supported hybrid collaborative learning environment

Authors: Hong Liu; Tyler Warner; Matthew Iklé; Shivansh Mittal

Addresses: Embry-Riddle Aeronautical University, Daytona Beach, FL 32114, USA ' Embry-Riddle Aeronautical University, Daytona Beach, FL 32114, USA ' Adams State University, Alamosa CO 81102, USA ' The University of Hong Kong, Pok Fu Lam, Hong Kong, China

Abstract: We present a collaborative learning environment called iCycle (Intelligent Computer-supported hybrid Collaborative Learning Environment) along with enabling Artificial Intelligence (AI) applications. The research is derived from a collaboration of four universities offering six cyber-learning courses in Computational Data-enabled Science and Engineering (CDSE) emphasising collaborative Project-Based Learning (PBL) and data-driven learning assessment to promote deep-learning. Relevant data sets for evidence-based learning assessment and iterative course improvement may grow in size to terabytes of information in the near future. We developed AI applications for collecting teamwork data, automating data analysis, and for formative learning assessment.

Keywords: computational data-enabled science and engineering; project-based learning; computer-supported collaborative learning; deep learning assessment; teamwork.

DOI: 10.1504/IJSMARTTL.2020.109488

International Journal of Smart Technology and Learning, 2020 Vol.2 No.1, pp.31 - 47

Received: 06 Apr 2019
Accepted: 18 Nov 2019
Published online: 10 Sep 2020 *

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