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Amedeo Pachera; Stefania Dumbrava; Angela Bonifati; Andrea Mauri – ACM Transactions on Computing Education, 2025
Query languages are the foundations of database teaching and education practices. The broad adoption of graph databases contrasts with the limited research into how they are taught. Contrary to relational databases, graph databases allow navigational queries with higher expressivity and lack an a priori schema. In this article, we design a…
Descriptors: Error Patterns, Graphs, Programming Languages, Databases
Cheers, Hayden; Lin, Yuqing – Computer Science Education, 2023
Background and Context: Source code plagiarism is a common occurrence in undergraduate computer science education. Many source code plagiarism detection tools have been proposed to address this problem. However, such tools do not identify plagiarism, nor suggest what assignment submissions are suspicious of plagiarism. Source code plagiarism…
Descriptors: Plagiarism, Programming, Computer Science Education, Identification
Mengning Mu; Man Yuan – Interactive Learning Environments, 2024
The necessity for students to clarify their own cognitive structure and the amount of their knowledge mastery for self-reflection is often ignored in building the student model in the adaptive model, which makes the construction of the cognitive structure pointless. Simultaneously, knowledge forgetting causes students' knowledge level to fall…
Descriptors: Individualized Instruction, Cognitive Processes, Graphs, Cognitive Structures
Jahnke, Maximilian; Höppner, Frank – International Educational Data Mining Society, 2022
The value of an instructor is that she exactly recognizes what the learner is struggling with and provides constructive feedback straight to the point. This work aims at a step towards this type of feedback in the context of an introductory programming course, where students perform program execution tracing to align their understanding of Java…
Descriptors: Programming, Coding, Computer Science Education, Error Patterns
Guozhu Ding; Xiangyi Shi; Shan Li – Education and Information Technologies, 2024
In this study, we developed a classification system of programming errors based on the historical data of 680,540 programming records collected on the Online Judge platform. The classification system described six types of programming errors (i.e., syntax, logical, type, writing, misunderstanding, and runtime errors) and their connections with…
Descriptors: Programming, Computer Science Education, Classification, Graphs
Ana Paula da Silva; Aluizio Haendchen Filho; Edilson Ferneda; Hércules Antonio do Prado; André Luís Alice Raabe – Educational Technology Research and Development, 2025
Teaching Computer Science concepts, such as graph theory, is often challenging. This study proposes an approach for teaching graph theory using an unplugged game ("GraphGame") developed through a participatory design process that includes usage observation, clarifying meaning, prototyping, and implementation. This process was carried out…
Descriptors: Educational Games, Graphs, Computer Science Education, Teaching Methods
Chung, Cheng-Yu; Hsiao, I-Han; Lin, Yi-Ling – Journal of Research on Technology in Education, 2023
Creating practice questions for programming learning is not an easy job. It requires the instructor to diligently organize heterogeneous learning resources. Although educational technologies have been adopted across levels of programming learning, programming question generation (PQG) is still predominantly performed by instructors without…
Descriptors: Artificial Intelligence, Programming, Questioning Techniques, Heterogeneous Grouping
Gavilán-Izquierdo, José María; Gallego-Sánchez, Inés; González, Antonio; Puertas, María Luz – Mathematics Teaching Research Journal, 2022
In this exploratory work, the discourse of first-year computer engineering undergraduate students of graph theory was analyzed with the aim of improving the teaching of this branch of mathematics. The theoretical framework used is the theory of commognition, specifically, we focus on commognitive conflicts because they are learning opportunities…
Descriptors: Undergraduate Students, Engineering Education, Computer Science Education, Graphs
Zinagul Suranchiyeva; Bektas Bostanov; Serik Kenesbayev; Salamat Idrissov; Kuralay Turganbay – Journal of Information Technology Education: Innovations in Practice, 2023
Aim/Purpose: This study seeks to present a learning model of discrete mathematics elements, elucidate the content of teaching, and validate the effectiveness of this learning in a digital education context. Background: Teaching discrete mathematics in the realm of digital education poses challenges, particularly in crafting the optimal model,…
Descriptors: Electronic Learning, Elective Courses, Mathematics Instruction, Computer Science Education
Baucks, Frederik; Wiskott, Laurenz – International Educational Data Mining Society, 2022
Curriculum research is an important tool for understanding complex processes within a degree program. In particular, stochastic graphical models and simulations on related curriculum graphs have been used to make predictions about dropout rates, grades, and degree completion time. There exists, however, little research on changes in the curriculum…
Descriptors: Curriculum Development, Educational Change, Educational Policy, Prerequisites
Shabrina, Preya; Mostafavi, Behrooz; Tithi, Sutapa Dey; Chi, Min; Barnes, Tiffany – International Educational Data Mining Society, 2023
Problem decomposition into sub-problems or subgoals and recomposition of the solutions to the subgoals into one complete solution is a common strategy to reduce difficulties in structured problem solving. In this study, we use a datadriven graph-mining-based method to decompose historical student solutions of logic-proof problems into Chunks. We…
Descriptors: Intelligent Tutoring Systems, Problem Solving, Graphs, Data Analysis
Kleb Dale G. Bayaras – Online Submission, 2023
In course design, topic outline organization encompasses the structuring and sequencing of topics to be delivered in a learning environment. Recent studies in topic outline optimization revolve around massive open online courses (MOOCs) due to their abundance but not much has been studied on the traditional courses. This study investigates the…
Descriptors: Foreign Countries, Universities, Introductory Courses, Programming
Madhav Sharma; Andy Bowman – Journal of Information Systems Education, 2025
"Not only SQL" (NoSQL) databases have become widespread across organizations, enabling sophisticated, data-driven applications to be highly available, distributed, and cloud-based, such as e-commerce, social media, online multiplayer games, and video streaming. However, NoSQL is still sparsely found in MIS and analytics curricula. This…
Descriptors: Educational Technology, Technology Integration, Databases, Data Analysis
Ramle, Rosni; Rosli, D'oria Islamiah; Nathan, Shelena Soosay; Berahim, Mazniha – International Journal of Evaluation and Research in Education, 2020
Dijkstra algorithm is important to be understood because of its many uses. However, understanding it is challenging. Various methods to teach and learn had been researched, with mixed results. The study proposes question-led approach of the algorithm in a game-based learning context. The game designed based on an existing game model, developed and…
Descriptors: Game Based Learning, Mathematics, Graphs, Instructional Effectiveness
Soyka, Chantal; Schaper, Niclas; Bender, Elena; Striewe, Michael; Ullrich, Meike – ACM Transactions on Computing Education, 2023
Modeling is an integral part of many computing-related disciplines and thus also represents a curricular core component in computing education in tertiary education. Competence models in which modeling is integrated at least to some extent already exist in some of these disciplines. However, for the core component of graphical modeling, a…
Descriptors: Graphs, Models, Computer Science Education, Content Analysis

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