If you made any changes in Pure these will be visible here soon.

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 2 Similar Profiles
Recommender systems Engineering & Materials Science
Application programs Engineering & Materials Science
Data mining Engineering & Materials Science
workplace Social Sciences
Innovation Engineering & Materials Science
Education Engineering & Materials Science
learning Social Sciences
Industry Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2010 2018

Analytics for everyday learning from two perspectives: Knowledge workers and teachers

Fessl, A., Kowald, D., Sola, S. L., Moreno, A., Maturana, R. A. & Thalmann, S., 1 Jan 2018, In : CEUR Workshop Proceedings. 2209

Research output: Contribution to journalConference articleResearchpeer-review

Recommender systems

Challenges in Developing Automatic Learning Guidance in Relation to an Information Literacy Curriculum

Fessl, A., Wertner, A. & Pammer-Schindler, V., 2018, Proceedings of the 1st Workshop on Analytics for Everyday Learning, co-located with 13th European Conference on Technology Enhanced Learning. CEUR Workshop Proceedings, Vol. 2209.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Open Access

Digging for Gold: Motivating Users to Explore Alternative Search Interfaces

Fessl, A., Wertner, A. & Pammer-Schindler, V., 2018, Proceedings of the 13th European Conference on Technology Enhanced Learning (ECTEL). Springer, p. 636 639 p. (Lecture Notes in Computer Science).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Finding traces of self-regulated learning in activity streams

Cicchinelli, A. I., Veas, E. E., Pardo, A., Pammer-Schindler, V., Fessl, A., Souta Barreiros, C. A. & Lindstaedt, S., Mar 2018, Proceeding LAK '18 Proceedings of the 8th International Conference on Learning Analytics and Knowledge. Association of Computing Machinery, p. 191 200 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Open Access
Students

Open Innovation in the Big Data Era with the MOVING Platform

Vagliano, I., Gunther, F., Heinz, M., Apaolaza, A., Bienia, I., Breitfuss, G., Blume, T., Collyda, C., Fessl, A., Gottfried, S., Hasitschka, P., Kellermann, J., Kohler, T., Maas, A., Mezaris, V., Saleh, A., Skulimowski, A. M. J., Thalmann, S., Vigo, M., Wertner, A. & 2 othersWiese, M. & Scherp, A., 1 Jul 2018, In : IEEE MultiMedia. 25, 3, p. 8-21 14 p., 8494800.

Research output: Contribution to journalArticleResearchpeer-review

Data mining
Innovation
Education
Big data