Using learning analytics to assess project management skills on engineering degree courses

Menchaca, Iratxe; Guenaga, Mariluz; Solabarrieta, Josu

doi:10.1145/3012430.3012542

Cited by 2 publications

(9 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…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%

“…When discussing to specific databases, we refer to articles in which it was observed that the data come from questionnaires, student admission records, e‐portfolios, or by using game‐based learning (GBL) . These methods of teaching are aimed at improving student learning by adapting to their reality.…”

Section: Results Of the Mappingmentioning

confidence: 99%

“…, 80% of organizations handle unstructured data that emerge from a variety of formats such as text, videos, audio, diagrams, images, and combinations of two or more formats. Only 13 publications out of a total of 52 (25%) have oriented their study in terms of non‐traditional data sources such as structured questionnaire databases , educational games databases e‐portfolio databases . A special approach is needed for the analysis of the databases generated from the application of the GBL concept.…”

Section: Discussionmentioning

confidence: 99%

“…The affective factors deserve special consideration in engineering education environments, where the levels of tension due to the academic load are high, thus affecting the academic performance of the students. The area of education in mathematics has been tested with the application of various types of smart learning technologies [53,75]. One of the objectives of implementing these technologies in the educational field is to include the affective and behavioral characteristics of the student in the teaching‐learning process.…”

Section: Discussionmentioning

confidence: 99%

“…Engineering degree that most frequently apply LA and EDM studies in terms of non-traditional data sources such as structured questionnaire databases [18,36,45,62], educational games databases [47,53,54,75] e-portfolio databases [71]. A special approach is needed for the analysis of the databases generated from the application of the GBL concept.…”

Section: Figurementioning

confidence: 99%

See 4 more Smart Citations

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

View full text Add to dashboard Cite

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.

show abstract