@inproceedings{conf/lak/JaakonmakiDKDFM17,
  abstract = {Learning Analytics is a melting pot for a multitude of research fields and origin of many developments about learning and its environment. There is a serious hype over the concepts of learning analytics, however, concrete solutions and applications are comparably scarce. Of course, data rich environments, such as MOOCs, come with statistical analytics dashboards, although the educational value is often limited. Practical solutions for scenarios in data-lean environments or for small-scale organizations are rarely adopted. The LA4S project is dedicated to gather practical solutions, provide a tool box for practitioners, and publish a cook book with concrete learning analytics recipes for everyone. },
  added-at = {2017-12-25T15:54:04.000+0100},
  author = {Jaakonmäki, Roope and Drachsler, Hendrik and Kickmeier-Rust, Michael D. and Dietze, Stefan and Fortenbacher, Albrecht and Marenzi, Ivana},
  biburl = {https://www.bibsonomy.org/bibtex/2b2987fba5f58fd4d6c017341820b6243/marenzi},
  booktitle = {Proceedings of the Seventh International Learning Analytics & Knowledge Conference (LAK 2017)},
  crossref = {conf/lak/2017},
  editor = {Hatala, Marek and Wis, Alyssa and Winne, Phil and Lynch, Grace and Ochoa, Xavier and Molenaar, Inge and Dawson, Shane and Shehata, Shady and Tan, Jennifer Pei-Ling},
  ee = {http://dl.acm.org/citation.cfm?id=3029465},
  interhash = {8b4b72bf5b142588e3fdb98188b9becc},
  intrahash = {b2987fba5f58fd4d6c017341820b6243},
  isbn = {978-1-4503-4870-6},
  keywords = {myown sysrelevantforl3s},
  pages = {572-573},
  publisher = {ACM},
  timestamp = {2017-12-25T15:54:04.000+0100},
  title = {Cooking with learning analytics recipes},
  url = {https://dl.acm.org/citation.cfm?id=3027385},
  year = 2017
}