Technology-Enhanced Learning Analytics System Design for Engineering Education

Abhyankar, Kushal; Ganapathy, Subhashini

doi:10.7763/ijiet.2014.v4.427

Cited by 8 publications

(4 citation statements)

References 22 publications

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“…This application is directly related to the student's participation in the educational process such as in terms of the analysis of learning styles or learning strategies, the analysis and improvement of student skills, and the motivation trends of students, among others. A second application area of LA [4,7,[22][23][24]32,35,38,44,45,47,57,62,63,66,69,72,76] Institutional database 15 [2,5,5,13,14,16,[39][40][41]48,52,53,67,68,79] Specific databases 13 [1,15,18,19,43,44,50,54,61,68,72,74,80] Not specified 7 [3,12,17,…”

Section: Areas Of Application Of La and Edm Results In Engineering mentioning

confidence: 99%

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The use of tools of data mining to decision making in engineering education—A systematic mapping study

Buenaño-Fernández

Villegas-Ch

Luján‐Mora³

2019

Comp Applic In Engineering

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In recent years, there has been an increasing amount of theoretical and applied research that has focused on educational data mining. The learning analytics is a discipline that uses techniques, methods, and algorithms that allow the user to discover and extract patterns in stored educational data, with the purpose of improving the teaching‐learning process. However, there are many requirements related to the use of new technologies in teaching‐learning processes that are practically unaddressed from the learning analytics. In an analysis of the literature, the existence of a systematic revision of the application of learning analytics in the field of engineering education is not evident. The study described in this article provides researchers with an overview of the progress made to date and identifies areas in which research is missing. To this end, a systematic mapping study has been carried out, oriented toward the classification of publications that focus on the type of research and the type of contribution. The results show a trend toward case study research that is mainly directed at software and computer science engineering. Furthermore, trends in the application of learning analytics are highlighted in the topics, such as student retention or dropout prediction, analysis of academic student data, student learning assessment and student behavior analysis. Although this systematic mapping study has focused on the application of learning analytics in engineering education, some of the results can also be applied to other educational areas.

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Section: Areas Of Application Of La and Edm Results In Engineering mentioning

confidence: 99%

“…According to Ref. , we can find two types of systematic reviews of literature, revisions focused on concepts and revisions focused on authors. In the first approach, the concepts determine the organizational framework of the review.…”

Section: Methodsmentioning

confidence: 99%

The use of tools of data mining to decision making in engineering education—A systematic mapping study

Buenaño-Fernández

Villegas-Ch

Luján‐Mora³

2019

Comp Applic In Engineering

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“…First coined by Don Tapscott in 1995, the digital economy that was generally defined as the economic activities enhanced by information technology (Abhyankar & Ganapathy, 2014), has its definition evolved progressively throughout the years (Williams, 2021). Daoud (2000) elaborate the emergence of digital economy from the perspective of its component, such as infrastructure, process, and value through computer-aided network.…”

Section: Digital Economy and The Rise Of Virtual Teammentioning

confidence: 99%

The Emergence of Multicultural Characteristics in Virtual Team

Karim

Gustomo

Wisesa

2023

jmi

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The advancement of information and communication technology grant access for businesses to reach global workforce. In a condition where companies hire their employee from cross-border market, the exposure of multicultural differences will be more in contact. Some of the problem faced by virtual multicultural team are cultural discrepancy, communication problem, long distance conflict, and lack of synergy. The objective of this study is to explore the multicultural characteristics emerged from virtual team activity to minimize the problem. This research adopts a case study to examine the comprehensive understanding of virtual multicultural team activity and get new insight from dwelling activity into the context directly. This study has two results: a virtual team and multicultural team characteristics in digital company and Hybrid company. This study can help practitioners identify what multicultural level of focus is well-suited to their current business model and give researcher an overview of future research on the alternatives in managing virtual multicultural team by building virtual multicultural team framework. Keywords — Multicultural; Virtual Team, Hybrid Company, Digital Company

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“…Researchers also used text mining and web log mining techniques to gain deeper insights on major discussion topics in design capstone engineering courses [36]. As such, new data sources, integrated data systems and emerging analytical techniques demand technology-enhanced learning analytics system design emerge [46] and, once the system is in place, will enable what is called "multimodal learning analytics" [47]. These developments have already begun in EER.…”

Section: Opportunitiesmentioning

confidence: 99%