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Mike, Koby; Hazzan, Orit – IEEE Transactions on Education, 2023
Contribution: This article presents evidence that electrical engineering, computer science, and data science students, participating in introduction to machine learning (ML) courses, fail to interpret the performance of ML algorithms correctly, since they fail to consider the application domain. This phenomenon is referred to as the domain neglect…
Descriptors: Engineering Education, Computer Science Education, Data Science, Introductory Courses
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Mike, Koby; Hazzan, Orit – Statistics Education Research Journal, 2022
Data science is a new field of research that has attracted growing interest in recent years as it focuses on turning raw data into understanding, insight, knowledge, and value. New data science education programs, which are being launched at an increasing rate, are designed for multiple education levels and populations. Machine learning (ML) is an…
Descriptors: Teaching Methods, Nonmajors, Statistics Education, Artificial Intelligence
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Ragonis, Noa; Hazzan, Orit; Har-Shai, Gadi – Journal of Information Technology Education: Innovations in Practice, 2020
Aim/Purpose: This paper presents a study about changes in computer science and software engineering students' perceptions of their soft skills during their progress through the Computer Science Soft Skills course. Background: Soft skills are often associated with a person's social, emotional and cognitive capabilities. Soft skills are increasingly…
Descriptors: Soft Skills, Teamwork, Student Attitudes, Assignments
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Sakhnini, Victoria; Hazzan, Orit – Journal on Educational Resources in Computing, 2008
The research presented in this article deals with the difficulties and mental processes involved in the definition, implementation, and use of abstract data types encountered by 12th grade advanced-level computer science students. Research findings are interpreted within the theoretical framework of "reducing abstraction" [Hazzan 1999]. The…
Descriptors: Computer Science Education, Computer Science, Grade 12, Teaching Methods
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Ragonis, Noa; Hazzan, Orit – Mentoring & Tutoring: Partnership in Learning, 2009
This article presents a tutor-centered tutoring model that aims to develop and establish the pedagogical-disciplinary knowledge and skills of prospective teachers. The tutoring model and the research that accompanied its implementation are presented. The tutor-tutee pairs worked for two five-session cycles for two semesters, enabling prospective…
Descriptors: Tutors, Tutoring, Models, Preservice Teachers
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Armoni, Michal; Gal-Ezer, Judith; Hazzan, Orit – Computer Science Education, 2006
This paper discusses the role of reduction in computer science and describes a study on undergraduate students' perception of the concept of reduction. Specifically, based on an analysis of students answers to questions addressing different computer science topics, we present several findings regarding the ways in which undergraduate students…
Descriptors: Computer Science Education, Undergraduate Students, Student Attitudes, Computer Science
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Ragonis, Noa; Hazzan, Orit – Journal of Computers in Mathematics and Science Teaching, 2009
This paper offers a tutoring model its objective is to develop and establish the pedagogical-disciplinary knowledge of prospective computer science teachers with respect to guiding learners in problem-solving processes. The paper presents the tutoring model and the research that accompanied its implementation. The research findings indicate that…
Descriptors: Problem Solving, Tutoring, Models, Pedagogical Content Knowledge
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Dubinsky, Yael; Hazzan, Orit – Computer Science Education, 2005
This article presents a study that aims at constructing a teaching framework for software development methods in higher education. The research field is a capstone project-based course, offered by the Technion's Department of Computer Science, in which Extreme Programming is introduced. The research paradigm is an Action Research that involves…
Descriptors: Action Research, Research Methodology, Computer Software, Teaching Methods