Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 4 |
Since 2016 (last 10 years) | 9 |
Since 2006 (last 20 years) | 10 |
Descriptor
Correlation | 10 |
Introductory Courses | 10 |
Programming Languages | 10 |
Computer Science Education | 6 |
Teaching Methods | 5 |
Undergraduate Students | 5 |
Foreign Countries | 4 |
Programming | 4 |
Academic Achievement | 3 |
Problem Solving | 3 |
Comparative Analysis | 2 |
More ▼ |
Source
Author
Adams, Bryan | 1 |
Baller, Daniel | 1 |
Bers, Marina Umaschi | 1 |
Calvo, Miquel | 1 |
Carnicer, Artur | 1 |
Cuadros, Jordi | 1 |
Cummiskey, Kevin | 1 |
Ezeamuzie, Ndudi O. | 1 |
Govind, Madhu | 1 |
Hassenfeld, Ziva R. | 1 |
Imran, Hazra | 1 |
More ▼ |
Publication Type
Journal Articles | 9 |
Reports - Research | 8 |
Dissertations/Theses -… | 1 |
Reports - Descriptive | 1 |
Education Level
Audience
Laws, Policies, & Programs
Assessments and Surveys
Learning Style Inventory | 1 |
What Works Clearinghouse Rating
Menon, Pratibha – Information Systems Education Journal, 2023
Instruction in an introductory programming course is typically designed to introduce new concepts and to review and integrate the more recent concepts with what was previously learned in the course. Therefore, most exam questions in an introductory programming course require students to write lines of code that contain syntactic elements…
Descriptors: Introductory Courses, Programming Languages, Computer Science Education, Correlation
Ezeamuzie, Ndudi O. – Education and Information Technologies, 2023
Several instructional approaches have been advanced for learning programming. However, effective ways of engaging beginners in programming in K-12 are still unclear, especially among low socioeconomic status learners in technology-deprived learning environments. Understanding the learning path of novice programmers will bridge this gap and explain…
Descriptors: Programming, Constructivism (Learning), Programming Languages, Computer Science Education
Adams, Bryan; Baller, Daniel; Jonas, Bryan; Joseph, Anny-Claude; Cummiskey, Kevin – Journal of Statistics and Data Science Education, 2021
Since the publishing of Nolan and Temple Lang's "Computing in the Statistics Curriculum" in 2010, the American Statistical Association issued new recommendations in the revised GAISE college report. To reflect modern practice and technologies, they emphasize giving students experience with multivariable thinking. Students develop…
Descriptors: Multivariate Analysis, Statistics Education, Teaching Methods, Thinking Skills
Patton, Belinda Andromeda – ProQuest LLC, 2020
The rise in demand for computer programming jobs has created a significant need for computer programming training. Online learning can be an effective tool for meeting the needs of these job demands. The challenge for universities is that computer programming is perceived as a difficult course by many students (Askar & Davenport, 2009; Baser,…
Descriptors: Student Attitudes, Undergraduate Students, Programming, Computer Science Education
Imran, Hazra – Journal of Educational Computing Research, 2023
Adding gaming elements to conventional teaching methodologies has gained a lot of attention because of its ability to incorporate an engaging, motivating, and fun-based environment. As a result, learners' dedication and performance are also better. Unfortunately, current gamification models do not consider the effect of different levels of…
Descriptors: Introductory Courses, Game Based Learning, Learning Motivation, Learner Engagement
Hassenfeld, Ziva R.; Govind, Madhu; de Ruiter, Laura E.; Bers, Marina Umaschi – Journal of Information Technology Education: Research, 2020
Aim/Purpose: This paper presents findings on a curricular intervention aimed at integrating computer programming with reading and writing in early elementary school. The purpose of this research was to explore the relation between students' varying literacy levels and their level of success in mastering an introductory programming language.…
Descriptors: Programming, Teaching Methods, Introductory Courses, Scores
Calvo, Miquel; Carnicer, Artur; Cuadros, Jordi; Martori, Francesc; Miñarro, Antonio; Serrano, Vanessa – EURASIA Journal of Mathematics, Science and Technology Education, 2019
Open-ended tasks are common in Science, Technology, Engineering and Mathematics (STEM) education. However, as far as we know, no tools have been developed to assist in the assessment of the solution process of open-ended questions. In this paper, we propose the use of analysis of traces as a tool to address this need. To illustrate this approach,…
Descriptors: Computer Assisted Testing, STEM Education, Programming Languages, Undergraduate Students
Qian, Yizhou; Lehman, James D. – Journal of Education and Learning, 2016
The demand for computing professionals in the workplace has led to increased attention to computer science education, and introductory computer science courses have been introduced at different levels of education. This study investigated the relationship between gender, academic performance in non-programming subjects, and programming learning…
Descriptors: Correlation, Introductory Courses, Success, Middle School Students
Pellas, Nikolaos – Interactive Learning Environments, 2017
The combination of Open Sim and Scratch4OS can be a worthwhile innovation for introductory programming courses, using a Community of Inquiry (CoI) model as a theoretical instructional design framework. This empirical study had a threefold purpose to present: (a) an instructional design framework for the beneficial formalization of a virtual…
Descriptors: Educational Indicators, Communities of Practice, Computer Simulation, High School Students
Çakiroglu, Ünal – International Review of Research in Open and Distance Learning, 2014
This study examined the relationships among learning styles, study habits, and learning performances in an online programming language course. Sixty-two sophomore students who enrolled in an online introductory programming course participated in the study. Kolb's Learning Style Inventory (LSI) was used to measure the students' learning styles.…
Descriptors: Cognitive Style, Study Habits, Distance Education, Academic Achievement