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Showing 1 to 15 of 16 results Save | Export
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Ibrahim Cetin; Tarik Otu – International Journal of Computer Science Education in Schools, 2023
The purpose of the current study was to explore the effect of modality (constructionist mBlock, Scratch, and Python interventions) on six-grade students' computational thinking, programming attitude, and achievement. The pre-test and post-test quasi-experimental design was used to explore the research questions. The study group consisted of 105…
Descriptors: Computation, Thinking Skills, Student Attitudes, Programming
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Jaroslaw Pawel Adamiak – Open Praxis, 2024
The academic success of first-year students' learning in science faculties is by no means assured, especially in an Open Distance Learning setting with its limited number of face-to-face encounters between students and lecturers or tutors. Therefore, such encounters should be highly efficient in view of the considerable amount of knowledge…
Descriptors: Fundamental Concepts, Teaching Methods, Computer Science Education, Open Education
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Boxuan Ma; Li Chen; Shin’ichi Konomi – International Association for Development of the Information Society, 2024
Generative artificial intelligence (AI) tools like ChatGPT are becoming increasingly common in educational settings, especially in programming education. However, the impact of these tools on the learning process, student performance, and best practices for their integration remains underexplored. This study examines student experiences and…
Descriptors: Artificial Intelligence, Computer Science Education, Programming, Computer Uses in Education
Pearson, 2020
Programming and coding skills are in high demand, and can provide access to employment in growing fields. But a high percentage of undergraduates who enroll in relevant programs do not persist until they achieve competency in the subject and employment in the field. Revel for "Introduction to Java Programming" aims to give students an…
Descriptors: Introductory Courses, Programming, Computer Science Education, Electronic Learning
Fay, Derek; Armstrong, Mark; McEldoon, Katherine; Ridley, Julia – Pearson, 2020
Programming and coding skills are in high demand, and can provide access to employment in growing fields. But a high percentage of undergraduates who enroll in relevant programs do not persist until they achieve competency in the subject and employment in the field. Revel is an interactive learning environment intended to help students prepare for…
Descriptors: Introductory Courses, Programming, Computer Science Education, Electronic Learning
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Chen, Chen; Haduong, Paulina; Brennan, Karen; Sonnert, Gerhard; Sadler, Philip – Computer Science Education, 2019
Background and Context: The relationship between novices' first programming language and their future achievement has drawn increasing interest owing to recent efforts to expand K-12 computing education. This article contributes to this topic by analyzing data from a retrospective study of more than 10,000 undergraduates enrolled in introductory…
Descriptors: Computer Science Education, Programming Languages, College Students, Computer Attitudes
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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
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Chen, Chen; Haduong, Paulina; Brennan, Karen A.; Sonnert, Gerhard; Sadler, Philip M. – AERA Online Paper Repository, 2017
The impact of a novice programmer's first language on their subsequent achievement in further computing education has been the subject of much study in the field of computer science education. Our research is a retrospective study of more than 10,000 undergraduate students enrolled in CS1 (introduction to computer programming) from 118 US college…
Descriptors: Undergraduate Students, Computer Science Education, Novices, Programming
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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
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Sharp, Jason H.; Sharp, Laurie A. – Journal of Information Technology Education: Innovations in Practice, 2017
Aim/Purpose: Compared student academic performance on specific course requirements in a C# programming course across three instructional approaches: traditional, online, and flipped. Background: Addressed the following research question--When compared to the online and traditional instructional approaches, does the flipped instructional approach…
Descriptors: Comparative Analysis, Academic Achievement, Conventional Instruction, Web Based Instruction
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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
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Hoskey, Arthur; Maurino, Paula San Millan – Information Systems Education Journal, 2011
Numerous studies document high drop-out and failure rates for students in computer programming classes. Studies show that even when some students pass programming classes, they still do not know how to program. Many factors have been considered to explain this problem including gender, age, prior programming experience, major, math background,…
Descriptors: College Students, Computer Science Education, Programming, Programming Languages
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Chen, Ling-Hsiu – Computers & Education, 2011
Although conventional student assessments are extremely convenient for calculating student scores, they do not conceptualize how students organize their knowledge. Therefore, teachers and students rarely understand how to improve their future learning progress. The limitations of conventional testing methods indicate the importance of accurately…
Descriptors: Foreign Countries, Educational Technology, Cognitive Style, Self Efficacy
Kunkle, Wanda M. – ProQuest LLC, 2010
Many students experience difficulties learning to program. They find learning to program in the object-oriented paradigm particularly challenging. As a result, computing educators have tried a variety of instructional methods to assist beginning programmers. These include developing approaches geared specifically toward novices and experimenting…
Descriptors: Computer Science Education, Programming Languages, Language of Instruction, Academic Achievement
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Al-Imamy, Samer; Alizadeh, Javanshir; Nour, Mohamed A. – Journal of Information Technology Education, 2006
One of the major issues related to teaching an introductory programming course is the excessive amount of time spent on the language's syntax, which leaves little time for developing skills in program design and solution creativity. The wide variation in the students' backgrounds, coupled with the traditional classroom (one size-fits-all) teaching…
Descriptors: Programming Languages, Introductory Courses, Syntax, Program Design
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