@inproceedings{MehnenPohnBlaickneretal.,
  author    = {Mehnen, Lars and Pohn, Birgit and Blaickner, Matthias and Mandl, Thomas and Dregely, Isabel},
  title     = {Teaching \& Learning Analytics for Data-Based Optimization of Teaching and Learning Processes in Courses with Blended Learning},
  series = {2022 International Conference on Software, Telecommunications and Computer Networks (SoftCOM), 2022},
  booktitle = {2022 International Conference on Software, Telecommunications and Computer Networks (SoftCOM), 2022},
  publisher = {IEEE},
  isbn      = {978-953-290-117-7},
  pages     = {5},
  abstract  = {Learning Management Systems (LMS), such as Moodle, enable the rapid progress of digitisation in teaching, which is no longer only taking place in the lecture hall, but increasingly "online" and asynchronously. New didactic concepts (blended learning, "flipped classroom") consist of alternating self-learning and face-to-face phases, with the former taking place in the LMS, i.e. online. However, no analysis has yet been carried out as to how students act with the material in the self-learning phase, or the teachers are not provided with any information about the learning progress of the students during the self-learning phase. In this paper, concepts of learning and teaching analytics are presented to answer these questions and to integrate the measures derived from them into the teaching processes in a sustainable manner.},
  subject      = {teaching analytics},
  language  = {en}
}