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Luse, Andy; Shadbad, Forough Nasirpouri – Journal of Information Systems Education, 2023
The demand for qualified analytics professionals remains high with forecasts showing a continued need over the next few years. While this demand necessitates instruction in analytics in the classroom, many students find analytics concepts to be complicated and boring. This teaching brief describes a novel approach to teaching analytics through…
Descriptors: Computer Science Education, Information Security, Learning Activities, Learner Engagement
Seliem El-Sayed; Filip Paspalj – Research Ethics, 2024
Recital 33 GDPR has often been interpreted as referring to 'broad consent'. This version of informed consent was intended to allow data subjects to provide their consent for certain areas of research, or parts of research projects, conditional to the research being in line with 'recognised ethical standards'. In this article, we argue that broad…
Descriptors: Ethics, Social Science Research, Standards, Data Analysis
Cleuziou, Guillaume; Flouvat, Frédéric – International Educational Data Mining Society, 2021
Improving the pedagogical effectiveness of programming training platforms is a hot topic that requires the construction of fine and exploitable representations of learners' programs. This article presents a new approach for learning program embeddings. Starting from the hypothesis that the function of a program, but also its "style", can…
Descriptors: Programming, Computer Science Education, Electronic Learning, Data Analysis
Yong-Woon Choi; In-gyu Go; Yeong-Jae Gil – International Journal of Technology and Design Education, 2024
The purpose of this study is to derive a correlation between the technological thinking disposition and the computational thinking ability of gifted students in Korea. The correlation between each element was analyzed by looking at the sub-elements of computational thinking according to the components of technological thinking disposition. The…
Descriptors: Thinking Skills, Mental Computation, Gifted, Correlation
Maqsood, Rabia; Ceravolo, Paolo; Ahmad, Muhammad; Sarfraz, Muhammad Shahzad – International Journal of Educational Technology in Higher Education, 2023
The heterogeneous data acquired by educational institutes about students' careers (e.g., performance scores, course preferences, attendance record, demographics, etc.) has been a source of investigation for Educational Data Mining (EDM) researchers for over two decades. EDM researchers have primarily focused on course-specific data analyses of…
Descriptors: Foreign Countries, Computer Science, Undergraduate Students, Private Colleges
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
Allison S. Theobold; Megan H. Wickstrom; Stacey A. Hancock – Journal of Statistics and Data Science Education, 2024
Despite the elevated importance of Data Science in Statistics, there exists limited research investigating how students learn the computing concepts and skills necessary for carrying out data science tasks. Computer Science educators have investigated how students debug their own code and how students reason through foreign code. While these…
Descriptors: Computer Science Education, Coding, Data Science, Statistics Education
Wen-shuang Fu; Jia-hua Zhang; Di Zhang; Tian-tian Li; Min Lan; Na-na Liu – Journal of Educational Computing Research, 2025
Cognitive ability is closely associated with the acquisition of programming skills, and enhancing learners' cognitive ability is a crucial factor in improving the efficacy of programming education. Adaptive feedback strategies can provide learners with personalized support based on their learning context, which helps to stimulate their interest…
Descriptors: Feedback (Response), Cognitive Ability, Programming, Computer Science Education
Brown, Neil C. C.; Weill-Tessier, Pierre; Sekula, Maksymilian; Costache, Alexandra-Lucia; Kölling, Michael – ACM Transactions on Computing Education, 2023
Objectives: Java is a popular programming language for use in computing education, but it is difficult to get a wide picture of the issues that it presents for novices; most studies look only at the types or frequency of errors. In this observational study, we aim to learn how novices use different features of the Java language. Participants:…
Descriptors: Novices, Programming, Programming Languages, Data
Frank Lee; Clinton Baxter – Information Systems Education Journal, 2023
The Cross Industry Standard Process for Data Mining (CRISP-DM) framework was developed in the 1990s and has been widely used as the most relevant and comprehensive leading principle for conducting analytics projects. Despite the wide acceptance and adoption of the CRISP-DM framework, the current business analytics discipline often focuses on the…
Descriptors: Artificial Intelligence, Court Litigation, Data Analysis, Information Systems
Atkinson, Joshua D.; Dorr, Matthew; Pedasanaganti, Vamsi; Sharma, Shudipta – Journal of Ethnographic & Qualitative Research, 2023
The framework of cyber-archaeology was developed by Jones (1997, 2003) and later modified by Zimbra et al. (2010) to examine online networks and virtual communities. Since the modification, the method has fallen out of favor and is no longer utilized by qualitative researchers. To rebuild the method for qualitative research, we engaged in four…
Descriptors: Qualitative Research, Interdisciplinary Approach, Archaeology, Computer Science
Mentzer, Kevin; Galante, Zachary; Frydenberg, Mark – Information Systems Education Journal, 2022
Organizations are keenly interested in data gathering from websites where discussions of products and brands occur. This increasingly means that programmers need an understanding of how to work with website application programming interfaces (APIs) for data acquisition. In this hands-on lab activity, students will learn how to gather data from…
Descriptors: Prediction, Competition, Music, Data Analysis
Richards, Bryant; Kolodziejczak, Nicholas; Mentzer, Kevin; Calnan, Kerry – Information Systems Education Journal, 2023
Organizations are keenly interested in employees trained in business analysis and robotic process automation. This is because those methods are growing in demand for improving efficiency in business processes. Business students exiting college must understand how to map out business processes and implement automation fundamentals to be competitive…
Descriptors: Robotics, Business Administration Education, Automation, Employment Potential
Tapprich, William E.; Reichart, Letitia; Simon, Dawn M.; Duncan, Garry; McClung, William; Grandgenett, Neal; Pauley, Mark A. – Biochemistry and Molecular Biology Education, 2021
The lack of an instructional definition of bioinformatics delays its effective integration into biology coursework. Using an iterative process, our team of biologists, a mathematician/computer scientist, and a bioinformatician together with an educational evaluation and assessment specialist, developed an instructional definition of the…
Descriptors: Scoring Rubrics, Definitions, Genetics, Biology
Bulathwela, Sahan; Verma, Meghana; Pérez-Ortiz, María; Yilmaz, Emine; Shawe-Taylor, John – International Educational Data Mining Society, 2022
This work explores how population-based engagement prediction can address cold-start at scale in large learning resource collections. The paper introduces: (1) VLE, a novel dataset that consists of content and video based features extracted from publicly available scientific video lectures coupled with implicit and explicit signals related to…
Descriptors: Video Technology, Lecture Method, Data Analysis, Prediction