Using TEALE Learning Methodology to Promote Portable Interdisciplinary Accountability in Engineering Education

International Journal of Engineering Pedagogy

ARTICLE

Lynroy Grant¹  Akram Abu-aisheh¹  Alan Hadad¹  Barbara Poole² 

[1] University of Hartford;Roger Williams University

关键词: learning algorithms;    Informal learning;    formal learning;    Leaner Agent;    Portfolio;    LAO;    Technology-Enhanced;    Autonomous Learning;    TEALE.;   

DOI  :  10.3991/ijep.v3iS3.2751

来源: International Society for Engineering Education (IGIP), Kassel University Press

【 摘 要 】

Research suggests that an increase in learner mobility across formal and informal jurisdictions is a positive response to an integrated global economy and workforce. To facilitate ebbs and flows of maintaining a mobile global workforce, the literature suggests that engineering education should promote methodology and learning mechanisms that personalize accountability of learners’ content knowledge across jurisdictions. In addition, data from the literature suggests that the cyber-learning mechanism for supporting mobility generates massive amounts of data which when refined could inform engineering educators in their response to an increasingly mobile workforce. This paper reviews data from a pilot study of a TechnologyEnhanced Autonomous Learning Environment (TEALE). TEALE is a framework for mobile learning environments that afford accountability of personalized evidence-based content across learning jurisdictions.

【 授权许可】

Unknown