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Biju, Soly Mathew – Athens Journal of Education, 2019
The purpose of this study is to examine the impact of peer tutoring program as compared to classroom tutoring on problem solving and algorithm development skills of higher education students in Computer Sciences. Peer tutoring has emerged as one of the most effective mechanisms of enabling learning and improving academic performance of students at…
Descriptors: Peer Teaching, Teaching Methods, Problem Solving, College Students
Park, Jungho – International Journal of Higher Education, 2019
In the field of K-12 education, the demand for effective coding education is gradually expanding with various coding tools such as Scratch being popularly used as an effective learning environment. However, an answer to the question of what constitutes appropriate computing concepts for children (e.g. elementary school students) has not been fully…
Descriptors: Fairy Tales, Elementary School Students, Coding, Computer Science Education
Keuning, Hieke; Jeuring, Johan; Heeren, Bastiaan – ACM Transactions on Computing Education, 2019
Formative feedback, aimed at helping students to improve their work, is an important factor in learning. Many tools that offer programming exercises provide automated feedback on student solutions. We have performed a systematic literature review to find out what kind of feedback is provided, which techniques are used to generate the feedback, how…
Descriptors: Programming, Teaching Methods, Computer Science Education, Feedback (Response)
Tan, Wee Lum; Venema, Sven – International Association for Development of the Information Society, 2019
One of the challenges that commencing university students in computing degree programs face is the difficulty in engaging with the abstract and complicated theories in the computing discipline. In particular, it is hard for beginner computer architecture students to visualise the link between the theory of digital logic and the behaviour of the…
Descriptors: Logical Thinking, Computer Science Education, Introductory Courses, Correlation
Prado, Yenda; Jacob, Sharin; Warschauer, Mark – Computer Science Education, 2022
Background and Context: Computational Thinking (CT) is a skill all students should learn. This requires using inclusive approaches to teach CT to a wide spectrum of students. However, strategies for teaching CT to students with exceptionalities are not well studied. Objective: This study draws on lessons learned in two fourth-grade classrooms --…
Descriptors: Thinking Skills, Computer Science Education, Special Education, Teaching Methods
Kapitsaki, Georgia M.; Loizou Kleanthous, Styliani; Papadopoulos, George A. – IEEE Transactions on Education, 2020
Contribution: Results and conclusions on the use of transactive memory system (TMS) in software engineering (SE) education in student project teams that consist of undergraduate and postgraduate students are documented. This can be valuable for the adoption of this learning approach and team formation by other universities and institutes.…
Descriptors: Computer Software, Computer Science Education, Undergraduate Students, Graduate Students
Noh, Jiyae; Lee, Jeongmin – Educational Technology Research and Development, 2020
Around the world, programming education is actively promoted by such factors as economic and technical requirements. The use of a robot in programming education could help students understand computer-science concepts more easily. In this study we designed a course in programming a robot for elementary school students and investigated its…
Descriptors: Thinking Skills, Elementary School Students, Robotics, Programming
Nonye Alozie; Patrik Lundh; Kate Laguarda; Caroline E. Parker; Reina Fujii; Beth McBride – National Comprehensive Center, 2021
In this first of three whitepapers on designing curricula for diversity, the authors explain why equity and inclusion should be addressed in standardized curriculum materials and introduce the Equity and Inclusion Framework for Curriculum Design (EI-CD). [For Part 2, see ED615694. For Part 3, see ED615695.]
Descriptors: Inclusion, Diversity, Equal Education, Curriculum Design
Kwon, Kyungbin; Lee, Kyungbin; Chung, Jaehwa – International Journal of Computer Science Education in Schools, 2018
Evaluating the quality of students' programs is necessary for better teaching and learning. Although many innovative learning environments for computer science have been introduced, the scarcity of program evaluation frames and tools is a demanding issue in the teaching practice. This study examined the quality of students' Scratch programs by…
Descriptors: Computer Science Education, Programming, Programming Languages, Program Evaluation
Mentz, Elsa; Van Zyl, Sukie – International Journal of Lifelong Education, 2018
This article reports on an explorative study into the relationship between the implementation of cooperative learning strategies and students' self-directedness in learning. Participants in this study were first-year Computer Applications Technology student teachers. Students completed a self-directed learning questionnaire at the beginning of the…
Descriptors: Cooperative Learning, Independent Study, Preservice Teachers, Computer Science Education
Yeomans, Lucy; Zschaler, Steffen; Coate, Kelly – ACM Transactions on Computing Education, 2019
Programming skills are an increasingly desirable asset across disciplines; however, learning to program continues to be difficult for many students. To improve pedagogy, we need to better understand the concepts that students find difficult and which have the biggest impact on their learning. Threshold-concept theory provides a potential lens on…
Descriptors: Programming, Student Attitudes, Attitudes, Concept Formation
Lin, Jian-Wei – Australasian Journal of Educational Technology, 2022
The COVID-19 pandemic has forced universities to make a radical switch from face-to-face traditional teaching (TT) to completely online learning (OL). Thus, many studies proposed the proper OL environment for a specific subject and evaluated its effectiveness. However, few studies have empirically compared the proposed OL environment with TT to…
Descriptors: Blended Learning, Computer Science Education, Educational Change, Universities
Gresse Von Wangenheim, Christiane; Da Cruz Alves, Nathalia; Rauber, Marcelo F.; Hauck, Jean C. R.; Yeter, Ibrahim H. – Informatics in Education, 2022
Although Machine Learning (ML) is used already in our daily lives, few are familiar with the technology. This poses new challenges for students to understand ML, its potential, and limitations as well as to empower them to become creators of intelligent solutions. To effectively guide the learning of ML, this article proposes a scoring rubric for…
Descriptors: Performance Based Assessment, Artificial Intelligence, Learning Processes, Scoring Rubrics
Srichai, Kittipat; Wongsaphan, Montree – Journal of Educational Issues, 2022
Trisikkha principles consisting of morality, concentration, and wisdom discovered by the Lord Buddha, as well as the concept of contemplative education has been applied to learning-teaching management in Thailand for a long time. This research aimed to investigate the implementation of the learning management model based on the Trisikkha…
Descriptors: Moral Values, Student Attitudes, Student Characteristics, Teaching Methods
Anthonysamy, Lilian; Ah Choo, Koo; Soon Hin, Hew – Malaysian Journal of Learning and Instruction, 2021
Purpose: The rise of digital learning and the prevalence of affordable devices are convenient for young adults who are accustomed to using their digital devices for almost everything such as communication, collaboration, and accessing multiple sources of information for solutions. However, the lack of ability to self-regulate learning processes…
Descriptors: Metacognition, Learning Strategies, Private Colleges, Foreign Countries

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