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  • 2024

    The Sequence Matters in Learning - A Systematic Literature Review

    Valle Torre, M., Oertel, C. & Specht, M. M., 2024, LAK 2024 Conference Proceedings - 14th International Conference on Learning Analytics and Knowledge: Proceedings of the 14th Learning Analytics and Knowledge Conference. New York: Association for Computing Machinery (ACM), p. 263–272 10 p. (ACM International Conference Proceeding Series).

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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  • Towards Cross-Modal Point Cloud Retrieval for Indoor Scenes

    Yu, F., Wang, Z., Li, D., Zhu, P., Liang, X., Wang, X. & Okumura, M., 2024, MultiMedia Modeling - 30th International Conference, MMM 2024, Proceedings. Rudinac, S., Worring, M., Liem, C., Hanjalic, A., Jónsson, B. P., Yamakata, Y. & Liu, B. (eds.). Cham: Springer, p. 89-102 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14557 LNCS).

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

  • Use of AI-driven Code Generation Models in Teaching and Learning Programming: a Systematic Literature Review

    Cambaz, D. & Zhang, X., 2024, SIGCSE 2024 - Proceedings of the 55th ACM Technical Symposium on Computer Science Education. Association for Computing Machinery (ACM), p. 172-178 7 p. (SIGCSE 2024 - Proceedings of the 55th ACM Technical Symposium on Computer Science Education; vol. 1).

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review