Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 11 |
Since 2016 (last 10 years) | 21 |
Since 2006 (last 20 years) | 32 |
Descriptor
Computer Science Education | 33 |
Introductory Courses | 33 |
Self Efficacy | 33 |
Programming | 18 |
Student Attitudes | 14 |
Undergraduate Students | 10 |
College Students | 9 |
Foreign Countries | 9 |
Instructional Effectiveness | 9 |
Teaching Methods | 7 |
Programming Languages | 6 |
More ▼ |
Source
Author
Publication Type
Journal Articles | 29 |
Reports - Research | 25 |
Dissertations/Theses -… | 4 |
Tests/Questionnaires | 4 |
Reports - Descriptive | 2 |
Reports - Evaluative | 2 |
Education Level
Higher Education | 25 |
Postsecondary Education | 22 |
High Schools | 3 |
Elementary Education | 2 |
Secondary Education | 2 |
Early Childhood Education | 1 |
Elementary Secondary Education | 1 |
Kindergarten | 1 |
Primary Education | 1 |
Audience
Location
Australia | 1 |
Finland | 1 |
Georgia (Atlanta) | 1 |
Ghana | 1 |
India | 1 |
Ireland | 1 |
Nebraska | 1 |
Nebraska (Omaha) | 1 |
Philippines | 1 |
South Africa | 1 |
Taiwan | 1 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
Motivated Strategies for… | 2 |
Computer Anxiety Scale | 1 |
What Works Clearinghouse Rating
Johnson, Donald M.; Pate, Michael L.; Estepp, Christopher M.; Wardlow, George W. – Journal of Research in Technical Careers, 2023
A replication study was conducted to determine the effectiveness of an instructional treatment based on self-efficacy theory when used with novice Arduino microcontroller users. Students (n = 32) in an introductory university agricultural systems technology course participated in a lesson on Arduino microcontrollers, circuit breadboarding, and…
Descriptors: Self Efficacy, Computer Science Education, Instructional Effectiveness, Novices
Antti-Jussi Lakanen; Ville Isomöttönen – Informatics in Education, 2023
This research investigates university students' success in their first programming course (CS1) in relation to their motivation, mathematical ability, programming self-efficacy, and initial goal setting. To our knowledge, these constructs have not been measured in a single study before in the Finnish context. The selection of the constructs is in…
Descriptors: Foreign Countries, College Students, Student Motivation, Self Efficacy
Lishinski, Alex; Yadav, Aman – ACM Transactions on Computing Education, 2021
Research has repeatedly shown self-efficacy to be associated with course outcomes in CS and across other fields. CS education research has documented this and has developed CS-specific self-efficacy measurement instruments, but to date there have been only a few studies examining interventions intended to improve students' self-efficacy in CS, and…
Descriptors: Self Evaluation (Individuals), Intervention, Self Efficacy, Computer Science Education
Mahatanankoon, Pruthikrai; Wolf, James – Information Systems Education Journal, 2021
Learning a computer programming language is typically one of the basic requirements of being an information technology (IT) major. While other studies previously investigate computer programming self-efficacy and grit, their relationships between "shallow" and "deep" learning (Miller et al., 1996) have not been thoroughly…
Descriptors: Cognitive Processes, Learning Strategies, Introductory Courses, Computer Science Education
Menon, Pratibha – Information Systems Education Journal, 2021
Learning how to become a self-regulated learner could benefit students in introductory undergraduate courses, such as computer programming. This study explores the perceived value of instructional and skill-building activities and students' self-efficacy to learn and apply programming skills in an introductory computer programming course. The…
Descriptors: Student Attitudes, Independent Study, Introductory Courses, Programming
Menon, Pratibha – Journal of Information Systems Education, 2023
This paper introduces a teaching process to develop students' problem-solving and programming efficacy in an introductory computer programming course. The proposed teaching practice provides step-by-step guidelines on using worked-out examples of code to demonstrate the applications of programming concepts. These coding demonstrations explicitly…
Descriptors: Introductory Courses, Programming, Computer Science Education, Feedback (Response)
Umar Shehzad; Jody Clarke-Midura; Mimi Recker – ACM Transactions on Computing Education, 2024
Objectives: The increasing demand for computing skills has led to a rapid rise in the development of new computer science (CS) curricula, many with the goal of equitably broadening the participation of underrepresented students in CS. While such initiatives are vital, factors outside of the school environment also play a role in influencing…
Descriptors: Parent Child Relationship, Computer Science Education, Programming, Equal Education
Ann Marie Wofford – ProQuest LLC, 2021
Tensions between enrollment growth, faculty shortages, and persistent inequity characterize the current landscape of postsecondary computing education. As individuals who pursue graduate studies in computing are likely future leaders in the tech industry and academic computing spaces, colleges and universities need to restructure mechanisms of…
Descriptors: Graduate Students, Computer Science Education, Student Attitudes, Individual Development
Loksa, Dastyni; Margulieux, Lauren; Becker, Brett A.; Craig, Michelle; Denny, Paul; Pettit, Raymond; Prather, James – ACM Transactions on Computing Education, 2022
Metacognition and self-regulation are important skills for successful learning and have been discussed and researched extensively in the general education literature for several decades. More recently, there has been growing interest in understanding how metacognitive and self-regulatory skills contribute to student success in the context of…
Descriptors: Metacognition, Programming, Computer Science Education, Learning Processes
Adler, Rachel F.; Beck, Kristan – Journal of Technology and Teacher Education, 2020
Computational thinking (CT) involves breaking a problem into smaller components and solving it using algorithmic thinking and abstraction. CT is no longer exclusively for computer scientists but for everyone. While CT does not necessarily require programming, learning programming to enhance CT skills at a young age can help shape the next…
Descriptors: Curriculum Development, Introductory Courses, Computer Science Education, Preservice Teachers
Qian, Yizhou; Hambrusch, Susanne; Yadav, Aman; Gretter, Sarah; Li, Yue – Journal of Educational Computing Research, 2020
A quality computer science (CS) teacher needs to understand students' common misconceptions in learning CS. This study explored one aspect of CS teachers' understanding of student misconceptions: their perceptions of student misconceptions related to introductory programming. Perceptions in this study included three parts: teachers' perceived…
Descriptors: Teacher Attitudes, Misconceptions, Introductory Courses, Programming
Lakshminarayanan, Srinivasan; Rao, N. J.; G. K., Meghana – Higher Education for the Future, 2021
The introductory programming course, commonly known as CS1 and offered as a core course in the first year in all engineering programs in India, is unique because it can address higher cognitive levels, metacognition and some aspects of the affective domain. It can provide much needed transformative experiences to students coming from a system of…
Descriptors: Transformative Learning, Mastery Learning, Computer Science Education, Programming
Liao, Shu-Min – Journal of Statistics and Data Science Education, 2023
SCRATCH, developed by the Media Lab at MIT, is a kid-friendly visual programming language, designed to introduce programming to children and teens in a "more thinkable, more meaningful, and more social" way. Although it was initially intended for K-12 students, educators have used it for higher education as well, and found it…
Descriptors: Teaching Methods, Coding, Programming Languages, Computer Science Education
Quille, Keith; Bergin, Susan – Computer Science Education, 2019
Background and Context: Computer Science attrition rates (in the western world) are very concerning, with a large number of students failing to progress each year. It is well acknowledged that a significant factor of this attrition, is the students' difficulty to master the introductory programming module, often referred to as CS1. Objective: The…
Descriptors: Computer Science Education, Introductory Courses, Programming, Student Attrition
Corritore, Cynthia; Love, Betty – Journal of Information Technology Education: Innovations in Practice, 2020
Aim/Purpose: This study reports the outcome of how a first pilot semester introductory programming course was designed to provide tangible evidence in support of the concept of Student Ownership of Learning (SOL) and how the outcomes of this programming course facilitate effective student learning. Background: Many instructors want to create or…
Descriptors: Introductory Courses, Programming, Computer Science Education, Management Information Systems