Attendance of modules
Percentage of active or former students, who completed the modules in a curriculum
Semester, in which the module was most frequently completed by active students
Filter options to hide/show modules attended rarely or in a specific semester
Potential add-ons
- summarized distribution of attendance in course specializations or minor subjects
- detail view of attendance distribution over semesters for a selected module
- detail view of percentage by enrolement year
- dropout rate for selected modules
- attendance of the same module across different study programs
Folien
eLearning Tag an der Uni Potsdam
Students selection of electives
For students having completed at least one equal elective as other students, further electives are determined through collaborative filtering. Building upon preliminary work, conversational recommender techniques could improve >> students experience:
show the frequency of attendance only for similar students
detail view of sequence, in which similar students completed recommended modules
simulate altering recommendations, if a certain module would already have been completed
adjust the characteristics for calculating the students' similarity to other students
Lecturers recommendations
Lecturers can create recommendations for own modules defining other modules as prerequisites. Students fulfilling these are recommended those lecturers modules. Extending the previous approach, further recommendation options could enable >> lecturers finding eligable students as well as students finding adequate lecturers courses.
lecturers view other subjects students study, who attended their modules or who have chosen a particular specialization
students view other subjects lecturers offer, who recommend beneficial modules or modules fitting into their specialization
lecturers select prerequisite modules without limitation to a single curriculum in order to estimate, how many students from which curriculum could be interested in interdisciplinary course offers
students select prerequisite modules in order to simulate, how recommendations change, if they had those modules already completed.