Implementation of Learning Analytics in MOOC by Using Artificial Unintelligence

Abstract

Massive Open Online Course (MOOC), a web-based e-learning tool, is growing to be used by current educational institutions. To prevent high non-passing rate, instructor needs to know which learner has the potential to pass the course or not. Learner who will fail the course also need advices immediately from instructor or system to overcome it. Learning Analytics (LA) is needed to collect and analyze learners' activity logs on MOOC and predict their passing potential. The prototype application is developed by using Rational Unified Process (RUP) software development method. Implementation of LA in MOOC is feasible and suggested to analyze learners' success factors by consuming learners' activity logs and visualizing it in scatter diagram and node-link diagram. Instructor can provide advices to learners based on success factors generated by LA.

LMS Implementation in High Schools in Eastern Indonesia After the Covid-19 Pandemic

“…This study shown that the implementation of LMS has caused an increase in the average score of students in certain fields of science (Mathematics and English). Further research can be conducted in the form of further LMS development with the addition of discussion forum feature (Aljahromi, 2020;Yunus et al, 2023), learning analytics (Aguilar & Brian Duche Perez, 2021;Asada et al, 2021;Yulianto et al, 2018), more diverse and interactive material formats (Rice, 2022;Sholeh et al, 2021;Yulianto et al, 2017), and video conferencing facilities (Camilleri & Camilleri, 2022). Implementation needs to be done in more schools and evaluation can be done in more other subject.…”

Surfing on Three Waves of MOOCs: An Examination and Snapshot of Research in Massive Open Online Courses

“…MOOC research methods (Cluster 5): This cluster indicated that learning analytics was the central keyword, followed by machine learning, content analysis, social network analysis and educational data mining. The publications on implementation of learning analytics in MOOCs (see Bystrova et al, 2018;Yulianto et al, 2018) showed that emerging research methods are used to predict learners' probability of drop out and success, and their performance.…”

A Prescriptive Specialized Learning Management System for Academic Feedback towards Improved Learning

“…Learning analytics is a concept that describes the collective processes applicable when working with large quantities of student data (Dietz-Uhler and Hurn, 2013). It is traditionally implemented as part of a LMS and used to provide information regarding individual students' use of specific resources supplied to them by a lecturer (Yulianto et al, 2018). Researchers demonstrate differing perceptions on the use of learning analytics and its usefulness for improved learning (Ellis et al, 2017).…”

“…There is concern regarding the interpretability of learning analytics in terms of what it indicates about student activity as opposed to measuring the quality of learning that is actually taking place (Ellis et al, 2017). Various investigations have been done to improve one or more of the phases (measuring, collecting, analyzing and reporting) of learning analytics for the purpose of improving the type of information available to both the lecturer and the student (Hernández-Lara et al, 2018;Schumacher, 2017;Van der Merwe et al, 2018b;Yulianto et al, 2018). By combining learning analytics with data mining techniques, valuable information relating to students who appear at risk of failing the program, curriculum structures and prediction of academic performance, can be gained.…”