Evaluation of the last grade and attempts in online-learning environment
The purpose of this thesis was to develop models and methods, which evaluated learning in an online environment. In order to reach the research goal, data from tutor-web.net, an online repository containing online lectures and assignments, with questions for various subjects in mathematics, was obtained and investigated. The data includes results for students enrolled in the course Applied Mathematical Analysis at the University of Iceland in 2017 and 2018. First, descriptive statistics were used to determine which factors influenced students’ performance. Next, models were developed to predict the final grades and the number of attempts. The result shows that tuning the system to a faster increase in difficulty leads to learning for a longer time (more attempts), as well as a grade which is likely more indicative of actual knowledge as opposed to when students receive easy questions for too long. Grades in the tutor-web are based on a weighted combination of recent answers and increasing the number of answers and high weight to the most recent questions in the grade leads students to answer more questions.
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