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Contextualization, Authenticity, and the Problem Description Effect
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Ellie Lovellette; Dennis J. Bouvier; John Matta – ACM Transactions on Computing Education, 2024
In recent years, computing education researchers have investigated the impact of problem context on students' learning and programming performance. This work continues the investigation motivated, in part, by cognitive load theory and educational research in computer science and other disciplines. The results of this study could help inform…
Descriptors: Computer Science Education, Student Evaluation, Context Effect, Problem Solving
Learning Robot Differential Movements Using a New Educational Robotics Simulation Tool
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Gonzalez, Fernando – Education and Information Technologies, 2023
The study of robotics has become a popular course among many educational programs, especially as a technical elective. A significant part of this course involves having the students learn how to program the movement of a robotic arm by controlling the velocity of its individual joint motors, a topic referred to as joint programming. They must…
Descriptors: Robotics, Educational Technology, Technology Uses in Education, Simulation
The Effect of Group Interactions and Group Structure on Achievement in Elementary School Robotics Classrooms
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Yogi, Jonathan Kimei – ProQuest LLC, 2023
Jung and Won's (2018) review of elementary school ER found a lack of understanding of instructional practices for ER with young children. Other researchers have called for further studies into what effective classroom orchestration and interaction look like within ER classrooms (Ioannou & Makridou, 2018; Xia & Zhong, 2019). This study was…
Descriptors: Computer Science Education, Robotics, Group Dynamics, Gender Differences
A Second Experimental Study the Application of a Teaching Plan for the Algorithms Subject in an Undergraduate Course in Computing Using Active Methodologies
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Garcia, Fabrício Wickey da Silva; Oliveira, Sandro Ronaldo Bezerra; Carvalho, Elielton da Costa – Informatics in Education, 2023
The contents taught in the programming subjects have a great relevance in the formation of computing students. However, these subjects are characterized by high failure rates, as they require logical reasoning and mathematical knowledge. Thus, establishing knowledge through the subject of algorithms can help students to overcome these difficulties…
Descriptors: Teaching Methods, Algorithms, Undergraduate Students, Computer Science Education
Building a Self-Evolving Imonsters Board Game for Cyber-Security Education
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Shian-Shyong Tseng; Tsung-Yu Yang; Wen-Chung Shih; Bo-Yang Shan – Interactive Learning Environments, 2024
In this paper, to handle the problem of the quick evolution of cyber-security attacks, we developed the iMonsters board game and proposed the attack and defense knowledge self-evolving algorithm. Three versions of the iMonsters were launched in 2013, 2017, and 2019, respectively. Accordingly, the cyber-security ontology can be refined by the…
Descriptors: Educational Games, Computer Security, Computer Science Education, Game Based Learning
Factors Influencing Success in Beginning Computer Science Courses.
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Wileman, Stanley; And Others – Journal of Educational Research, 1981
Eight factors were studied to determine their relationship to success in a beginning computer science course. Significant correlations were found between the final exam score and reading comprehension, sequence completion, logical reasoning, and algorithmic execution. (Authors/JN)
Descriptors: Academic Achievement, Academic Aptitude, Algorithms, Computer Science Education
Teaching Computer Science: A Problem Solving Approach that Works.
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Allan, V. H.; Kolesar, M. V. – 1996
The typical introductory programming course is not an appropriate first computer science course for many students. Initial experiences with programming are often frustrating, resulting in a low rate of successful completion, and focus on syntax rather than providing a representative picture of computer science as a discipline. The paper discusses…
Descriptors: Academic Achievement, Algorithms, Computer Science Education, Course Content