Leo Leppänen

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  1. Accepted/In press

    Towards Data-Driven Generation of Visualizations for Automatically Generated News Articles

    Alhalaseh, R., Munezero, M. D., Leinonen, M., Leppänen, L. J., Avikainen, J. E. O. & Toivonen, H., 2018, (Accepted/In press) Proceedings of the 22nd International Academic Mindtrek Conference. ACM, Association for Computing Machinery

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

  2. No landslide for the human journalist: An empirical study of computer-generated election news in Finland

    Melin, M., Bäck, A., Södergård, C., Munezero, M. D., Leppänen, L. J. & Toivonen, H., 1 Aug 2018, In : IEEE Access. 6, p. 43356-43367 12 p.

    Research output: Contribution to journalArticleScientificpeer-review

  3. Using element-level website usage data to improve online learning materials and predict learning outcomes

    Leppänen, L., Jun 2017, University of Helsinki. 79 p.

    Research output: ThesisMaster's thesisTheses

  4. Computational Thinking as an Emergent Learning Trajectory of Mathematics

    Niemelä, P., Partanen, T., Harsu, M., Leppänen, L. & Ihantola, P., 16 Nov 2017, Koli Calling '17: Proceedings of the 17th Koli Calling International Conference on Computing Education Research. New York: ACM, p. 70-79 10 p.

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

  5. Data-Driven News Generation for Automated Journalism

    Leppänen, L., Munezero, M., Granroth-Wilding, M. & Toivonen, H., 4 Sep 2017, The 10th International Natural Language Generation conference, Proceedings of the Conference. Stroudsburg: Association for Computational Linguistics, p. 188-197 10 p.

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

  6. Predicting Academic Success Based on Learning Material Usage

    Leppänen, L., Leinonen, J., Ihantola, P. & Hellas, A., 27 Sep 2017, SIGITE '17: Proceedings of the 18th Annual Conference on Information Technology Education. New York: ACM, p. 13-18 6 p.

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

  7. Finding and Expressing News from Structured Data

    Leppänen, L., Munezero, M., Sirén-Heikel, S., Granroth-Wilding, M. & Toivonen, H., 20 Sep 2017, AcademicMindtrek '17: Proceedings of the 21st International Academic Mindtrek Conference. New York: ACM, p. 174-183 10 p.

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

  8. Search of the Emotional Design Effect in Programming Revised

    Nurminen, M., Leppänen, L., Väätäjä, H. & Ihantola, P., 5 Sep 2017, Data Driven Approaches in Digital Education: 12th European Conference on Technology Enhanced Learning, EC-TEL 2017, Tallinn, Estonia, September 12–15, 2017, Proceedings. Lavoué, É., Drachsler, H., Verbert, K., Broisin, J. & Pérez-Sanagustín, M. (eds.). Cham: Springer International Publishing AG, p. 434-440 7 p. (Lecture Notes in Computer Science; vol. 10474)

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

  9. Comparison of Time Metrics in Programming

    Leinonen, J., Leppänen, L., Ihantola, P. & Hellas, A., 14 Aug 2017, ICER '17: Proceedings of the 2017 ACM Conference on International Computing Education Research. New York: ACM, p. 200-208 9 p.

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

  10. Using and Collecting Fine-Grained Usage Data to Improve Online Learning Materials

    Leppänen, L., Leinonen, J., Ihantola, P. & Hellas, A., 24 Aug 2017, Proceedings - 2017 IEEE/ACM 39th International Conference on Software Engineering: Software Engineering and Education Track, ICSE-SEET 2017. IEEE Computer Society, p. 4-12 9 p.

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

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