Salvador Ros
Juan Carlos Lázaro
Antonio Robles-Gómez
Rafael Pastor
ABSTRACT
This paper analyzes the content structure and Moodle milestone to classify the students' learning behavior for a basic desktop-tools on-line virtual course. The data collection phase is completed for a Learning Analytics (LA) process as a first step; by using the generated interactions among students, and with learning resources, assessments, and so on. A first exploratory data analysis study is also done with the extracted indicators (or features) of all interactions to classify them in five traits. A multidimensional parameter reduction has been implemented based on Principal Component Analysis (PCA), an example of it is also given.
- 2017. Moodle logging 2. Web page at https://docs.moodle.org/dev/Logging_2. Date of last access: September 12, 2017. (2017).Google Scholar
- A. Daveedu-Raju, M. N. Sri, and G. L. Devi. 2016. Attribute subset selection by mixed weighting mean classification method. In Intl. Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT). Chennai, India.Google Scholar
- C. Ding. 2005. Principal Component Analysis and Matrix Factorizations for Learning. Web page at http://ranger.uta.edu/~chqding/PCAtutorial/PCA-tutor1.pdf. Date of last access: September 12, 2017. (2005).Google Scholar
- S. L. S. López, R. P. D. Redondo, and A. F. Vila. 2016. Is interpersonal participation relevant to pass?. In Fourth Intl. Conference Technological Ecosystems for Enhancing Multiculturality (TEEM). Salamanca, Spain. Google ScholarDigital Library
- M. A. Mercado-Varela, A. G. Holgado, F. J. García-Peñalvo, and M. S. Ramírez Montoya. 2016. Analyzing navigation logs in MOOC: a case study. In Fourth Intl. Conference Technological Ecosystems for Enhancing Multiculturality (TEEM). Salamanca, Spain. Google ScholarDigital Library
- J. A. Ruipérez-Valiente, P. J. Muñoz-Merino, H. J. P. Díaz, J. S. Ruiz, and C. Delgado-Kloos. 2017. Evaluation of a learning analytics application for open EdX platform. Computer Science and Information Systems 14, 1 (2017), 51--73.Google ScholarCross Ref
- M. Scheffel, H. Drachsler, S. Stoyanov, and M. Specht. 2014. Quality Indicators for Learning Analytics. Educational Technology & Society 17, 4 (2014), 117--132.Google Scholar
- Scikit-learn. 2017. Decomposing signals in components (matrix factorization problems). Web page at http://scikit-learn.org/stable/modules/decomposition.html. Date of last access: September 12, 2017. (2017).Google Scholar
- G. Siemens. 2013. Learning Analytics. American Behavioral Scientist 57, 10 (2013), 1380--1400.Google ScholarCross Ref
- L. Tobarra, S. Ros, R. Hernández, A. Robles-Gómez, R. Pastor, A. C. Caminero, J. Cano, and J. Claramonte. 2017. Studying Students' Behavior in UNED-COMA MOOCs. In Learning Analytics Summer Institute (LASI) Spain. Madrid, Spain.Google Scholar
Index Terms
- Analyzing Content Structure and Moodle Milestone to Classify Student Learning Behavior in a Basic Desktop Tools Course
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