Equalizing data science curriculum for computer science pupils K Mike, T Hazan, O Hazzan Proceedings of the 20th Koli Calling International Conference on Computing …, 2020 | 28 | 2020 |
Computational thinking in the era of data science K Mike, N Ragonis, RB Rosenberg-Kima, O Hazzan Communications of the ACM 65 (8), 33-35, 2022 | 19 | 2022 |
Data science education: Curriculum and pedagogy K Mike Proceedings of the 2020 ACM Conference on International Computing Education …, 2020 | 17 | 2020 |
What is Data Science? K Mike, O Hazzan Communications of the ACM 66 (2), 12-13, 2023 | 11 | 2023 |
Teaching core principles of machine learning with a simple machine learning algorithm: The case of the KNN algorithm in a high school introduction to data science course O Hazzan, K Mike ACM Inroads 13 (1), 18-25, 2022 | 11 | 2022 |
Teaching Online Teaching: Using the Task-Centered Instructional Design Strategy for Online Computer Science Teachers’ Preparation RB Rosenberg-Kima, K Mike R. E. Ferdig, E. Baumgartner, R. Hartshorne, R. Kaplan-Rakowski, & C. Mouza …, 2020 | 11 | 2020 |
Interdisciplinary Education-The Case of Biomedical Signal Processing K Mike, S Nemirovsky-Rotman, O Hazzan 2020 IEEE global engineering education conference (EDUCON), 339-343, 2020 | 10 | 2020 |
Widening the shrinking pipeline: The case of data science K Mike, G Hartal, O Hazzan 2021 IEEE global engineering education conference (EDUCON), 252-261, 2021 | 9 | 2021 |
Teaching machine learning to computer science preservice teachers: Human vs. machine learning K Mike, RB Rosenberg-Kima Proceedings of the 52nd ACM technical symposium on computer science …, 2021 | 8 | 2021 |
Interdisciplinary CS1 Course for Non-Majors: The Case of Graduate Psychology Students K Mike, O Hazzan 2022 IEEE global engineering education conference (EDUCON), 86-93, 2022 | 7 | 2022 |
Machine learning for non-majors: a white box approach K Mike, O Hazzan Statistics Education Research Journal 21 (2), 10-10, 2022 | 6 | 2022 |
Guide to Teaching Data Science: An Interdisciplinary Approach O Hazzan, K Mike Springer Nature, 2023 | 5 | 2023 |
How Can Computer Science Educators Benefit from Data Science Education? K Mike, O Hazzan Proceedings of the 52nd ACM technical symposium on computer science …, 2021 | 5 | 2021 |
Data Science and Computer Science Education K Mike, O Hazzan Guide to teaching computer science, 95-117, 2020 | 4* | 2020 |
What is Data Science? O Hazzan, K Mike Guide to Teaching Data Science: An Interdisciplinary Approach, 19-34, 2023 | 3 | 2023 |
What is common to transportation and health in machine learning education? The domain neglect bias K Mike, O Hazzan IEEE Transactions on Education, 2022 | 3 | 2022 |
A journal for interdisciplinary data science education O Hazzan, K Mike Communications of the ACM 64 (8), 10-11, 2021 | 3 | 2021 |
The birth of a new discipline: Data science education K Mike, B Kimelfeld, O Hazzan PubPub 5 (4), 2023 | 2 | 2023 |
Data science teacher preparation: Implementation of the TPACK framework O Hazzan, K Mike ACM Inroads 14 (3), 39-44, 2023 | 1 | 2023 |
The Birth of a New Discipline: Data Science Education O Hazzan, K Mike Guide to Teaching Data Science: An Interdisciplinary Approach, 59-72, 2023 | 1 | 2023 |