Berichte und Publikationen des Fraunhofer FOKUS

Publications

The Common Learning Middleware has been utilized and deployed in various projects, leading to several publications. These publications either directly address the CLM, projects or applications that utilize the CLM as a background service, or are otherwise related to the CLM.

Scientific work on the CLM

  • Nguyen, The-Anh; An, Truong-Sinh; Krauss, Christopher. A Middleware for Educational Ecosystems – Rights and Access-control Management by Design Authors. In: The 12th International Conference on Learning Technology for Education Challenges (LTEC 2024), July 29-August 1, 2024, Kaohsiung, Taiwan, Springer, accepted, to appear.
  • Krauss, Christopher; Streicher, Alexander; Poxleitner, Eva; Altun, Daniela; Mueller, Joanna; An, Truong-Sinh. Best-of-Breed: Service-Oriented Integration of Artificial Intelligence in Interoperable Educational Ecosystems. In: Uden, L., Liberona, D. (eds) Learning Technology for Education Challenges. LTEC 2023. Communications in Computer and Information Science, vol 1830. Springer, Cham, July 24-27, 2023, Bangkok, Thailand. https://doi.org/10.1007/978-3-031-34754-2_22
  • Krauss, Christopher. Interoperable, dienstorientierte Architekturen für nachhaltige, vernetzte Bildungsökosysteme. In: Karl Wilbers, Handbuch E-Learning (Loseblatt), Seiten 41 – 76, Beitrag Nr. 4.84, Oktober 2022.
  • Krauss, Christopher; Hauswirth, Manfred. Interoperable Education Infrastructures: A Middleware that Brings Together Adaptive, Social and Virtual Learning Technologies. In The European Research Consortium for Informatics and Mathematics (ERCIM) News 120 – Special Theme: Educational Technology, Page 9-10. ISSN 0926-4981. https://ercim-news.ercim.eu/images/stories/EN120/EN120-web.pdf
  • Krauss, Christopher. Time-Dependent Recommender Systems for the Prediction of Appropriate Learning Objects. Dissertation at TU Berlin, Germany, June 29, 2018. http://dx.doi.org/10.14279/depositonce-7119

Scientific works from projects and activities that utilize the CLM

  • Krauss, Christopher; Bassbouss, Louay; Upravitelev, Max; An, Truong-Sinh; Altun, Daniela; Reray, Lisa; Balitzki, Emil; El Tamimi, Tarek; Karagülle, Mehmet. Opportunities and Challenges in Developing Educational AI-Assistants for the Metaverse. In: Schwarz, J. (eds) Adaptive Instructional Systems. 26rd International Conference on Human-Computer Interaction (HCII 2024), Washington DC, USA, 29 June – 4 July 2024. Lecture Notes in Computer Science, Springer, Cham, accepted, to appear.
  • Do, Bach; An, Truong-Sinh; Krauss, Christopher. SMART-Goal-Buddy: Goal-setting oriented adaptive learning paths. In: Uden, L., Liberona, D. (eds) The 12th International Conference on Learning Technology for Education Challenges (LTEC 2024), July 29-August 1, 2024, Kaohsiung, Taiwan, Springer, accepted, to appear.
  • Jaeser, Katrin; Krauss, Christopher; Michalk, Silke. Kompetenzen als zentrales Element zwischen Funktionalität und User Experience (UX) einer intelligenten Weiterbildungsplattform der beruflichen und wissenschaftlichen Weiterbildung. In: Proceedings der Deutsche Gesellschaft für wissenschaftliche Weiterbildung und Fernstudium (DGWF) Jahrestagung 2023, Mainz.
  • Krauss, Christopher. Interoperable Bildungsökosysteme – Worauf bei der Umsetzung geachtet werden sollte. In: Rainer Güttler/Otto Peters (Hrsg.): Grundlagen der Weiterbildung – Praxishilfen (GdW-Ph), EL 226, Seiten 43 – 87, Oktober 2023, Luchterhand, Köln
  • Nguyen, The-Anh; Krauss, Christopher; An, Truong-Sinh; Heithecker, Boris; Neiss, Patrick. An Interoperable License Management Component for Educational Content. In: Uden, L., Liberona, D. (eds) Learning Technology for Education Challenges. LTEC 2023. Communications in Computer and Information Science, vol 1830. Springer, Cham, July 24-27, 2023, Bangkok, Thailand. https://doi.org/10.1007/978-3-031-34754-2_13
  • Altun, Daniela; Krauss, Christopher; Streicher, Alexander; Müller, Christoph; Atorf, Daniel, Rerhaye, Lisa; Kunde, Dietmar. Lessons learned from creating, implementing and evaluating assisted e-learning incorporating Adaptivity, Recommendations and Learning Analytics. In: Sottilare, R.A., Schwarz, J. (eds) Adaptive Instructional Systems. 24rd International Conference on Human-Computer Interaction (HCII 2022), Session: On the Efficacy and Usability of Adaptive Instructional Systems, volume 32, 26 June – 1 July 2022. Lecture Notes in Computer Science, vol 13332. Springer, Cham. https://doi.org/10.1007/978-3-031-05887-5_18
  • Krauss, Christopher; Merceron, Agathe; Arbanowski, Stefan. Smart Learning Object Recommendations based on Time-Dependent Learning Need Models. In Proceedings of The 12th International Conference on Educational Data Mining (EDM 2019), Michel Desmarais, Collin F. Lynch, Agathe Merceron, & Roger Nkambou (eds.), pp. 599 – 602, July 2 – 5, 2019, Montréal, Canada.

Further related publications

  • Fuhrhop, Christian; Krauss, Christopher and Paul, André. LOGINEO NRW – Zukunftscheck. Bericht im Auftrag des Ministerium für Schule und Bildung des Landes Nordrhein-Westfalen (MSB NRW), Herausgeber: Fraunhofer-Institut für Offene Kommunikationssysteme, Kaiserin-Augusta-Allee 31, 10589 Berlin, 2023. https://www.schulministerium.nrw/system/files/media/document/file/logineo_nrw_zukunftscheck_2023.pdf
  • Krauss, Christopher. Wird eine künstliche Intelligenz zukünftig für mich lernen? Impulsbeitrag zur Expert:innen-Diskussion im Tagungsband des (Aus)Bildungskongress der Bundeswehr, 13. bis 15. September 2022.
  • Rerhaye, Lisa; Altun, Daniela; Krauss, Christopher; Mueller, Christopher. Evaluation Methods for an AI-Supported Learning Management System: Quantifying and Qualifying Added Values for Teaching and Learning. 23rd International Conference on Human-Computer Interaction (HCII 2021), volume 31, LNCS 12792, ISBN 978-3-030-77856-9 , 24-29 July 2021, Washington DC, USA.
  • Krauss, Christopher; Merceron, Agathe; Arbanowski, Stefan. The Timeliness Deviation: A novel Approach to Evaluate Educational Recommender Systems for Closed-Courses. In Proceedings of the 9th International Conference on Learning Analytics & Knowledge (LAK19). ACM, 2019, New York, NY, USA, 195-204. DOI: https://doi.org/10.1145/3303772.3303774
  • An, Truong-Sinh; Krauss, Christopher; Merceron, Agathe. On the Emergence of Typical Behaviours in LMS. In: Daniel Schiffner (Hrsg.) u.a.; Gesellschaft für Informatik / Fachgruppe E-Learning: DeLFI 2018 – die 16. E-Learning Fachtagung Informatik der Fachgruppe E-Learning der Gesellschaft für Informatik e.V. : 10.-12. September 2018 Frankfurt, Deutschland. Bonn: Ges. für Informatik, 2018. http://ceur-ws.org/Vol-2250/WS_LA_paper6.pdf
  • Krauss, Christopher; Salzmann, Andreas; Merceron, Agathe. Branched Learning Paths for the Recommendation of Personalized Sequences of Course Items. In: Daniel Schiffner (Hrsg.) u.a.; Gesellschaft für Informatik / Fachgruppe E-Learning: DeLFI 2018 – die 16. E-Learning Fachtagung Informatik der Fachgruppe E-Learning der Gesellschaft für Informatik e.V. : 10.-12. September 2018 Frankfurt, Deutschland. Bonn: Ges. für Informatik, 2018. http://ceur-ws.org/Vol-2250/WS_LA_paper5.pdf
  • Krauss, Christopher; Schlösser, Holger. Smart Learning – neue Ansätze für individuelles Lernen. Invited Article for the SQ Magazin – Fachzeitschrift für Software-Qualität, Schwerpunkt: Die Zukunft der Weiterbildung, Vol. 45, December 2017.
  • Krauss, Christopher; Merceron, Agathe; An, Truong-Sinh; Zwicklbauer, Miggi; Steglich, Stephan; Arbanowski, Stefan. Teaching Advanced Web Technologies with a Mobile Learning Companion Application. In: Proceedings of The 16th ACM World Conference on Mobile and Contextual Learning (mLearn 2017), ACM, October 30 – November 1, 2017, Larnaca, Cyprus. https://doi.org/10.1145/3136907.3136937
  • An, Truong-Sinh; Merceron, Agathe; Krauss, Christopher. Können typische Lernverhalten, wie sie in MOOCs gefunden wurden, auch in anderen Kursen auftauchen? In: Proceedings of the Research Day, Beuth Hochschule für Technik Berlin, 2017, Berlin, Germany
  • An, Truong-Sinh; Krauss, Christopher; Merceron, Agathe. Can Typical Behaviors Identified in MOOCs be Discovered in Other Courses?. In: Proceedings of The 10th International Conference on Educational Data Mining (EDM 2017), 25 – 28 June 2017, Wuhan, China. http://educationaldatamining.org/EDM2017/proc_files/papers/paper_58.pdf
  • Krauss, Christopher; Merceron, Agathe; An, Truong-Sinh; Zwicklbauer, Miggi; Dinziol, Martin; Scharp, Michael. „Smart Learning“: ein Lernempfehlungssystem für digitale Medien. In: Learntec 2017, 24 – 26 January 2017, Karlsruhe, Germany.
  • Krauss, Christopher. Smart Learning – Neuer Ansatz für individuelles Lernen. Interview in: eLearning Journal 1/2017, Siepmann Media, Januar 2017, Hagen, Germany
  • Krauss, Christopher. Smart Learning: Time-dependent Context-aware Learning Object Recommendations. In: Proceedings of The 29th AAAI International Florida AI Research Society Conference (FLAIRS-29), AAAI, May 16 – 18 2016, Key Largo, USA. http://www.aaai.org/ocs/index.php/FLAIRS/FLAIRS16/paper/view/12955