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Showing 91 to 105 of 592 results Save | Export
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Smith, Katie N.; Lapan, Julia C. – Computer Science Education, 2023
Background and Context: Women are severely underrepresented in computer science (CS). Understanding varied entry points into CS may promote women's participation in the field. Objective: This study identifies experiences that influenced women's matriculation into CS majors, and pathways into CS based on participants' enrollment in bachelor of arts…
Descriptors: Females, Guided Pathways, Computer Science Education, Bachelors Degrees
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Sunni H. Newton; Meltem Alemdar; Jessica Gale; Diley Hernandez; Doug Edwards; Mike Ryan; Mike Helms; Marion Usselman – ACM Transactions on Computing Education, 2023
Objectives: The goal of this paper is to introduce and describe a new introductory computer science course. Research results from the implementation of this curriculum will be presented to demonstrate the nature of teachers' experiences with the curriculum. Participants: Participants are teachers implementing the new curriculum at two schools in…
Descriptors: Teacher Attitudes, Computer Science Education, Introductory Courses, Curriculum Implementation
Saira Anwar; Ahmed Ashraf Butt; Muhsin Menekse – Grantee Submission, 2023
This study explored the effectiveness of scaffolding in students' reflection writing process. We compared two sections of an introductory computer programming course (N=188). In Section 1, students did not receive any scaffolding while generating reflections, whereas in Section 2, students were scaffolded during the reflection writing process.…
Descriptors: Scaffolding (Teaching Technique), Writing Instruction, Writing Processes, Writing (Composition)
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Qian, Yizhou; Lehman, James – Journal of Research on Technology in Education, 2022
This study investigated common student errors and underlying difficulties of two groups of Chinese middle school students in an introductory Python programming course using data in the automated assessment tool (AAT) Mulberry. One group of students was from a typical middle school while the other group was from a high-ability middle school. By…
Descriptors: Middle School Students, Programming, Computer Science Education, Error Patterns
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Danielak, Brian – Cognition and Instruction, 2022
This paper focuses on a historically understudied area in computing education: attending to students' *design thinking* in university-level introductory programming courses. I offer an account of one student--"Rebecca"--and her experiences and code from a second-semester course on programming concepts for engineers. Using data from both…
Descriptors: Design, Computer Science Education, Programming, Introductory Courses
John F. Hutton – ProQuest LLC, 2022
All engineering careers require some level of programming proficiency. However, beginning programming classes are challenging for many students. Difficulties have been well-documented and contribute to high drop-out rates which prevent students from pursuing engineering. While many approaches have been tried to improve the performance of students…
Descriptors: Skill Development, Engineering Education, Epistemology, Delphi Technique
Lei Tang – ProQuest LLC, 2018
The software industry spends a tremendous amount of effort and resources on software testing and maintenance to improve the quality of software. However, a large portion of the cost may be saved by training high-quality software developers with better Computer Science education. Skilled software developers can not only produce code of fewer bugs…
Descriptors: Computer Science, Computer Science Education, Introductory Courses, Programming
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Daniele Traversaro; Giorgio Delzanno; Giovanna Guerrini – Informatics in Education, 2024
Concurrency is a complex to learn topic that is becoming more and more relevant, such that many undergraduate Computer Science curricula are introducing it in introductory programming courses. This paper investigates the combined use of Sonic Pi and Team-Based Learning to mitigate the difficulties in early exposure to concurrency. Sonic Pi, a…
Descriptors: Misconceptions, Programming Languages, Computer Science Education, Undergraduate Students
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Joyce Vogel; Dan Bouhnik – European Journal of Education, 2024
Introduction to Computer Science is traditionally the first course that all computer science and software engineering majors take. The course introduces many problem-solving techniques which can be challenging for many freshman students. In order to mitigate some of the issues of this course, we, at the Higher Education Institute, introduced a new…
Descriptors: Computer Science Education, Introductory Courses, Awards, Problem Based Learning
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Margaret Ellis; Brett D. Jones; Fei Gu; Hande Fenerci – International Journal for the Scholarship of Teaching and Learning, 2024
We present a case study that demonstrates how instructors can intentionally design a positive motivational climate in online and hybrid courses. We also examine the extent to which students' perceptions of the motivational climate predict their effort and achievement across three different modalities (face-to-face [FTF], online, and hybrid) of the…
Descriptors: Student Motivation, Classroom Environment, Academic Achievement, Electronic Learning
Villamor, Maureen M. – Research and Practice in Technology Enhanced Learning, 2020
High attrition and dropout rates are common in introductory programming courses. One of the reasons students drop out is loss of motivation due to the lack of feedback and proper assessment of their progress. Hence, a process-oriented approach is needed in assessing programming progress, which entails examining and measuring students' compilation…
Descriptors: Novices, Problem Solving, Computer Science Education, Introductory Courses
Kathryn Irene Cunningham – ProQuest LLC, 2020
Introductory programming courses typically focus on building generalizable programming knowledge by focusing on a language's syntax and semantics. Assignments often involve "code tracing" problems, where students perform close tracking of code's execution, typically in the context of 'toy' problems. "Reading-first" approaches…
Descriptors: Programming, Coding, Teaching Methods, Introductory Courses
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Christina Kyriakou; Agoritsa Gogoulou; Maria Grigoriadou – Informatics in Education, 2023
This paper presents an educational setting that attempts to enhance students' understanding and facilitate students' linking-inferencing skills. The proposed setting is structured in three stages. The first stage intends to explore students' prior knowledge. The second stage aims to help students tackle their difficulties and misconceptions and…
Descriptors: Thinking Skills, Inferences, Computer Science Education, Computer System Design
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Nariman, Saniya; Alzhanov, Aitugan; Doguchaeva, Svetlana – Interactive Learning Environments, 2023
The study is devoted to the definition of educational effects of introducing the Content and Language Integrated Learning (CLIL) technology in master's programs. A pedagogical model of teaching the CLIL methodology is described; the development of the "CLIL for IT teachers" course is based on it. An experiment that involved 62 graduate…
Descriptors: Content and Language Integrated Learning, Information Technology, Computer Science Education, Communicative Competence (Languages)
Fernando J. Rodriguez – ProQuest LLC, 2021
In computer science education, introductory computer programming courses tend to be the most challenging for novices, with higher dropout rates than other computer science courses. Recruitment and retention of students in computer science fields is an important area of focus in computer science education research, and previous research has…
Descriptors: Computer Science Education, Introductory Courses, Programming, Cooperative Learning
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