@inproceedings{BurkeWesselerteVrugt2018,
  author    = {Burke, Bruno and Weßeler, Peter and te Vrugt, J{\"u}rgen},
  title     = {A Programming Language Independent Platform for Algorithm Learning},
  series = {Lifelong Technology-Enhanced Learning, 13th European Conference on Technology Enhanced Learning. EC-TEL 2018},
  booktitle = {Lifelong Technology-Enhanced Learning, 13th European Conference on Technology Enhanced Learning. EC-TEL 2018},
  editor    = {Pammer-Schindler, Viktoria and P{\´e}rez-Sanagust{\´i}n, Mar and Drachsler, Hendrik and Elferink, Raymond and Scheffel, Maren},
  publisher = {Springer, Cham},
  isbn      = {978-3-319-98572-5},
  doi       = {10.1007/978-3-319-98572-5_66},
  pages     = {652 -- 655},
  year      = {2018},
  abstract  = {Teaching People to program is a crucial requirement for our society to deal with the complexity of 21st-century challenges. In many teaching systems, the student is required to use a particular programming language or development environment. This paper presents an intelligent tutoring system to support blended learning scenarios, where the students can choose their programming language and development environment. For that, the system provides an interface where the students request test data and submit results to unit test their algorithms. The submitted results are analyzed by a machine learning system that detects common errors and provides adaptive feedback to the student. With this system, we are focusing on teaching algorithms rather than specific programming language semantics. The technical evaluation tested with the implementation of Mean and Median algorithm shows that the system can distinguish between error cases with an error rate under 20\%. A first survey, with a small group of students, shows that the system helps them detect common errors and arrive at a correct/valid solution. We are in the process of testing the system with a larger group of students for gathering statistically reliable data.},
  language  = {en}
}
@book{HarthSeyfferthSonnenscheinetal.2023,
  author    = {Harth, Thilo and Seyfferth, Petra and Sonnenschein, Ines and Ludescher, Hans Peter and Adiek, Timo and G{\"o}decke, Svenja and Burke, Bruno and Schunk, Joachim and K{\"o}ster, Julia and Otremba, Hendrik and Schaden, Lea and Lilienthal, Jonas},
  title     = {SPRINT! Standortbestimmung Hochschuldidaktik},
  editor    = {Harth, Thilo},
  doi       = {10.25974/fhms-16004},
  url       = {http://nbn-resolving.de/urn:nbn:de:hbz:836-opus-160048},
  publisher      = {FH M{\"u}nster - University of Applied Sciences},
  pages     = {85},
  year      = {2023},
  abstract  = {Die Sehnsucht nach einem Ausbruch aus dem Alltagshandeln in der Hochschuldidaktik, nach einer tieferen Auseinandersetzung mit dem eigenen Selbstverst{\"a}ndnis als Didaktikteam im Wandelwerk der FH M{\"u}nster und nach einer gemeinsamen Bestandsaufnahme zum Stand des hochschulweiten Projekts Lernkultur f{\"u}hrte zum Experiment Booksprint. Paradoxerweise konnten drei Tage am St{\"u}ck zu diesem inhaltlichen Innehalten genutzt werden, um gleichzeitig unter hohem Zeitdruck ein fertiges Buch entstehen zu lassen. Studierendenzentrierung nimmt nicht nur in den Beitr{\"a}gen breiten Raum ein, sondern manifestiert sich auch in der Mitwirkung von zwei Studentinnen mit spannenden Blickwinkeln. Dieses agile Arbeiten wurde durch die F{\"o}rderung der Stiftung Innovation f{\"u}r die Hochschullehre m{\"o}glich.},
  language  = {de}
}