Koby Mike

According to our database, Koby Mike authored at least 17 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Anthropological thinking in data science education: Thinking within context.

Avital Binah-Pollak, Orit Hazzan, Koby Mike, Ronit Lis-Hacohen

Educ. Inf. Technol., August, 2024

2023

Data Science Teacher Preparation: Implementation of the TPACK Framework.

Orit Hazzan, Koby Mike

Inroads, September, 2023

What Is Common to Transportation and Health in Machine Learning Education? The Domain Neglect Bias.

Koby Mike, Orit Hazzan

IEEE Trans. Educ., June, 2023

What is Data Science?

Koby Mike, Orit Hazzan

Commun. ACM, February, 2023

Guide to Teaching Data Science - An Interdisciplinary Approach

Orit Hazzan, Koby Mike

Springer, ISBN: 978-3-031-24757-6, 2023

2022

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.

Orit Hazzan, Koby Mike

Inroads, 2022

Base rate neglect in computer science education.

Koby Mike, Orit Hazzan

CoRR, 2022

Computational thinking in the era of data science.

Koby Mike, Noa Ragonis, Rinat B. Rosenberg-Kima, Orit Hazzan

Commun. ACM, 2022

Up with data science, and the first programmer.

Orit Hazzan, Koby Mike, Herbert E. Bruderer

Commun. ACM, 2022

Interdisciplinary CS1 Course for Non-Majors: The Case of Graduate Psychology Students.

Koby Mike, Orit Hazzan

Proceedings of the IEEE Global Engineering Education Conference, 2022

2021

A journal for interdisciplinary data science education.

Orit Hazzan, Koby Mike

Commun. ACM, 2021

Teaching Machine Learning to Computer Science Preservice Teachers: Human vs. Machine Learning.

Koby Mike, Rinat B. Rosenberg-Kima

Proceedings of the SIGCSE '21: The 52nd ACM Technical Symposium on Computer Science Education, 2021

How Can Computer Science Educators Benefit from Data Science Education?

Koby Mike, Orit Hazzan

Proceedings of the SIGCSE '21: The 52nd ACM Technical Symposium on Computer Science Education, 2021

Widening the Shrinking Pipeline: The Case of Data Science.

Koby Mike, Gilly Hartal, Orit Hazzan

Proceedings of the IEEE Global Engineering Education Conference, 2021

2020

Equalizing Data Science Curriculum for Computer Science Pupils.

Koby Mike, Tamir Hazan, Orit Hazzan

Proceedings of the Koli Calling '20: 20th Koli Calling International Conference on Computing Education Research, 2020

Data Science Education: Curriculum and pedagogy.

Koby Mike

Proceedings of the ICER 2020: International Computing Education Research Conference, 2020

Interdisciplinary Education - The Case of Biomedical Signal Processing.

Koby Mike, Shira Nemirovsky-Rotman, Orit Hazzan

Proceedings of the 2020 IEEE Global Engineering Education Conference, 2020