Výpis publikací

ŘECHTÁČKOVÁ, Anna; Radek PELÁNEK a Tomáš EFFENBERGER. Code Quality Defects in Introductory Programming. ACM Transactions on Computing Education. New York, NY, USA: Association for Computing Machinery, 2025, roč. 25, č. 4, s. 1-32. ISSN 1946-6226. Dostupné z: https://doi.org/10.1145/3749996.

ŘECHTÁČKOVÁ, Anna; Radek PELÁNEK a Tomáš EFFENBERGER. Catalog of Code Quality Defects in Introductory Programming. Online. In Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1. Milan, Italy: Association for Computing Machinery, 2024, s. 59-65. ISBN 979-8-4007-0600-4. Dostupné z: https://doi.org/10.1145/3649217.3653638.

PELÁNEK, Radek; Tomáš EFFENBERGER a Petr JARUŠEK. Personalized recommendations for learning activities in online environments: a modular rule-based approach. User Modeling and User-Adapted Interaction. DORDRECHT: Springer Netherlands, 2024, roč. 34, č. 4, s. 1399-1430. ISSN 0924-1868. Dostupné z: https://doi.org/10.1007/s11257-024-09396-z.

PELÁNEK, Radek a Tomáš EFFENBERGER. The Landscape of Computational Thinking Problems for Practice and Assessment. ACM TRANSACTIONS ON COMPUTING EDUCATION. UNITED STATES: ASSOC COMPUTING MACHINERY, 2023, roč. 23, č. 2, s. 1-29. ISSN 1946-6226. Dostupné z: https://doi.org/10.1145/3578269.

EFFENBERGER, Tomáš a Radek PELÁNEK. Code Quality Defects Across Introductory Programming Topics. Online. In Larry Merkle, Maureen Doyle. Proceedings of the 53rd ACM Technical Symposium on Computer Science Education V. 1. New York, NY, USA: Association for Computing Machinery, 2022, s. 941-947. ISBN 978-1-4503-9070-5. Dostupné z: https://doi.org/10.1145/3478431.3499415.

PELÁNEK, Radek; Tomáš EFFENBERGER a Jaroslav ČECHÁK. Complexity and Difficulty of Items in Learning Systems. International Journal of Artificial Intelligence in Education. 2022, roč. 32, č. 1, s. 196-232. ISSN 1560-4292. Dostupné z: https://doi.org/10.1007/s40593-021-00252-4.

PELÁNEK, Radek a Tomáš EFFENBERGER. Design and analysis of microworlds and puzzles for block-based programming. Computer Science Education. Routledge, 2022, roč. 32, č. 1, s. 66-104. ISSN 0899-3408. Dostupné z: https://doi.org/10.1080/08993408.2020.1832813.

PELÁNEK, Radek a Tomáš EFFENBERGER. Improving Learning Environments: Avoiding Stupidity Perspective. IEEE TRANSACTIONS ON LEARNING TECHNOLOGIES. UNITED STATES: IEEE COMPUTER SOC, 2022, roč. 15, č. 1, s. 64-77. ISSN 1939-1382. Dostupné z: https://doi.org/10.1109/TLT.2022.3154936.

PELÁNEK, Radek; Tomáš EFFENBERGER a Adam KUKUČKA. Towards Design-Loop Adaptivity: Identifying Items for Revision. Journal of Educational Data Mining. International Educational Data Mining Society, 2022, roč. 14, č. 3, s. 1-25. ISSN 2157-2100. Dostupné z: https://doi.org/10.5281/zenodo.7357331.

RIESE, Emma; Madeleine LORÅS; Martin UKROP a Tomáš EFFENBERGER. Challenges Faced by Teaching Assistants in Computer Science Education Across Europe. Online. In Proceedings of the 2021 ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE ’21). Paderborn, Germany: ACM, 2021, s. 547-553. ISBN 978-1-4503-8214-4. Dostupné z: https://doi.org/10.1145/3430665.3456304.

EFFENBERGER, Tomáš a Radek PELÁNEK. Interpretable Clustering of Students’ Solutions in Introductory Programming. Online. In Roll I., McNamara D., Sosnovsky S., Luckin R., Dimitrova V. Artificial Intelligence in Education. AIED 2021. Lecture Notes in Computer Science, vol 12748. Cham: Springer, 2021, s. 101-112. ISBN 978-3-030-78291-7. Dostupné z: https://doi.org/10.1007/978-3-030-78292-4_9.

EFFENBERGER, Tomáš a Radek PELÁNEK. Validity and Reliability of Student Models for Problem-Solving Activities. Online. In Proceedings of the 11th International Conference on Learning Analytics and Knowledge. New York, NY, USA: Association for Computing Machinery, 2021, s. 1-11. ISBN 978-1-4503-8935-8. Dostupné z: https://doi.org/10.1145/3448139.3448140.

EFFENBERGER, Tomáš a Radek PELÁNEK. Visualization of Student-Item Interaction Matrix. Online. In Muhittin Sahin, Dirk Ifenthaler. Visualizations and Dashboards for Learning Analytics. Cham: Springer, 2021, s. 439-456. Advances in Analytics for Learning and Teaching. ISBN 978-3-030-81221-8. Dostupné z: https://doi.org/10.1007/978-3-030-81222-5_20.

PELÁNEK, Radek a Tomáš EFFENBERGER. Beyond binary correctness: Classification of students’ answers in learning systems. User Modeling and User-Adapted Interaction. Springer, 2020, roč. 30, č. 5, s. 867-893. ISSN 0924-1868. Dostupné z: https://doi.org/10.1007/s11257-020-09265-5.

EFFENBERGER, Tomáš; Radek PELÁNEK a Jaroslav ČECHÁK. Exploration of the Robustness and Generalizability of the Additive Factors Model. Online. In Proceedings of the 10th International Conference on Learning Analytics and Knowledge. New York, NY, USA: Association for Computing Machinery, 2020, s. 472-479. ISBN 978-1-4503-7712-6. Dostupné z: https://doi.org/10.1145/3375462.3375491.

EFFENBERGER, Tomáš a Radek PELÁNEK. Impact of Methodological Choices on the Evaluation of Student Models. Online. In Bittencourt I., Cukurova M., Muldner K., Luckin R., Millán E. Artificial Intelligence in Education. AIED 2020. Lecture Notes in Computer Science, vol 12163. Cham: Springer, 2020, s. 153-164. ISBN 978-3-030-52236-0. Dostupné z: https://doi.org/10.1007/978-3-030-52237-7_13.

EFFENBERGER, Tomáš. Blockly Programming Dataset. Online. In 3rd Educational Data Mining in Computer Science Education (CSEDM) Workshop. 2019, 3 s.

EFFENBERGER, Tomáš; Jaroslav ČECHÁK a Radek PELÁNEK. Difficulty and Complexity of Introductory Programming Problems. Online. In 3rd Educational Data Mining in Computer Science Education Workshop. 2019, 8 s.

EFFENBERGER, Tomáš; Jaroslav ČECHÁK a Radek PELÁNEK. Measuring Difficulty of Introductory Programming Tasks. Online. In Proceedings of the Sixth (2019) ACM Conference on Learning @ Scale (L@S '19). New York: ACM, 2019, s. „28:1“-„28:4“, 4 s. ISBN 978-1-4503-6804-9. Dostupné z: https://doi.org/10.1145/3330430.3333641.

EFFENBERGER, Tomáš a Radek PELÁNEK. Measuring Students’ Performance on Programming Tasks. Online. In Proceedings of the Sixth (2019) ACM Conference on Learning @ Scale (L@S '19). New York: ACM, 2019, s. "26:1"-"26:4", 4 s. ISBN 978-1-4503-6804-9. Dostupné z: https://doi.org/10.1145/3330430.3333639.

EFFENBERGER, Tomáš. Towards Adaptive Hour of Code. Online. In Isotani S., Millán E., Ogan A., Hastings P., McLaren B., Luckin R. International Conference on Artificial Intelligence in Education. Cham: Springer, 2019, s. 339-343. ISBN 978-3-030-23206-1. Dostupné z: https://doi.org/10.1007/978-3-030-23207-8_62.

PELÁNEK, Radek; Tomáš EFFENBERGER; Matěj VANĚK; Vojtěch SASSMANN a Dominik GMITERKO. Measuring Item Similarity in Introductory Programming. Online. In Rose Luckin, Scott Klemmer, Kenneth R. Koedinger. Proceedings of the Fifth Annual ACM Conference on Learning at Scale. New York, NY, USA: ACM, 2018, s. "19:1"-"19:4", 4 s. ISBN 978-1-4503-5886-6. Dostupné z: https://doi.org/10.1145/3231644.3231676.

EFFENBERGER, Tomáš a Radek PELÁNEK. Towards making block-based programming activities adaptive. Online. In Rose Luckin, Scott Klemmer, Kenneth R. Koedinger. Learning @ Scale. New York, NY, USA: ACM, 2018, s. "13:1"-"13:4", 4 s. ISBN 978-1-4503-5886-6. Dostupné z: https://doi.org/10.1145/3231644.3231670.