Examining student views on the use of the learning analytics dashboard of a smart mooc
Özet
In this study, the views of students using the adaptive dynamic intelligent tutoring system supported
by learning analytics designed as smart MOOCs on the learning dashboard of the system were examined.
The learning dashboard of the system in question shows the results of video analytics indicators, exam
analytics indicators, and system usage indicators from the data obtained from students’ interactions with
the system. In addition, the system’s learning dashboard provides the descriptive statistics results of the
students and the predictive statistics results that can reveal the student’s status for the following weeks
of the course. In other words, the student learning dashboard shows results that predict both the current
and future situations. The research was carried out on 36 university students. The study’s data were
obtained through the researchers’ semi-structured student opinions determination form. Content analysis
was performed in the analysis of the data. The research findings reveal that the learning dashboard helps
show the status of students’ engagement, seeing how much time they spend on the lesson and how
often they study, telling what to do in terms of being successful in the future, and increasing student
motivation. In addition, the visuals in the learning dashboard helped increase the intelligibility of the
results of learning analytics, enabling the students to determine their own level and see where they are,
allowing them to see the topics they learned well and to self-evaluate. The majority of the students stated
that the learning dashboard has no disadvantages. A few students stated that insufficient results in the
learning dashboard could lead to decreased student motivation. In line with the findings obtained from
the research, a discussion was made about what should be considered in terms of learning dashboard
design and its effective use, and various suggestions were made.
