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

Abstract

Abstract-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.Prelimary data from this third pilot report suggests that TEALE promotes accountability of content knowledge across learning jurisdictions: both among formal disciplines in the academy, as well as between the academy, informal learning and workplace requirements. However, the data also suggests that seamless mobility across these academic and social jurisdictions involves issues far beyond technology. These issues, which include adjudicating relevance and value among academic cultures, incentives for motivation, authority and autonomy should be accounted for when using TEALE. Attention to these issues could prevent engineering educators from viewing potential opportunities for inter-jurisdictional collaborations as encroachments and avert the specter of unintended social-dramas.

A Review on Personalization and Agents Technology in Mobile Learning

“…19 [9], [10], [13], [15], [16], [17], [18] [19], [20], [14], [16], [28], [29] Others 4 [11], [12], [13], [14] Also, from our review six personalization trends emerged as key aspects when deploying agents technology in mobile learning for personalization, Table 2 illustrate those aspects and there related studies. Moreover, we can see from earlier sections that most of the existing literatures concentrate on one Aspect in personalization; those issues can be categorized as: 1.…”

“…No. Articles [1], [2], [3], [4], [5], [6] [7], [8], [9], [10], [15], [16] Mobile learning 25 [17], [18], [19], [20], [21], [22] [23], [24], [25], [26], [27], [28], [29] [1], [2], [3], [4], [5], [6] Personalization 19 [7], [8], [9], [10], [15], [16], [17] [18], [19], [21], [24], [27], [29] [2], [3], [5], [6], [7], [8] Agents Tech.…”

“…TEALE (Technology-Enhanced Autonomous Learning Environment), which is a framework that consists of three components [9]: 1. Learner agent objects (LOA): individual academic portfolios elements in a collection of evidence based multimedia proxies and artefacts representing a learners formal and informal academic experience.…”

“…It is the capacity to tailor learning content and interactions to match learner abilities and needs that make the use of mobile technologies unique [8], [9], which is an important issue in mobile learning. Also, most of those researches assure that the use of agents have a significant role in supporting personalization in mobile learning.…”