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Kristina Litherland; Anders Kluge – Computer Science Education, 2024
Background and Context: We explore the potential for understanding the processes involved in students' programming based on studying their behaviour and dialogue with each other and "conversations" with their programs. Objective: Our aim is to explore how a perspective of inquiry can be used as a point of departure for insights into how…
Descriptors: Programming, Programming Languages, Secondary School Students, Computer Science Education
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Dawar, Deepak – Journal of Information Systems Education, 2023
For most beginners, learning computer programming is a complex undertaking. Demotivation and learned helplessness have been widely reported. In addition to the subject's complexity, low in-class involvement has been linked to poor student performance. This work introduces a novel instructional technique called Student-Driven Probe Instruction…
Descriptors: Computer Science Education, Programming, Introductory Courses, Teaching Methods
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Morgan M. Fong; David DeLiema; Virginia J. Flood; Oia Walker-van Aalst – International Journal of Computer-Supported Collaborative Learning, 2025
Working solutions to problems are not definitive end points. As a result, code that is technically correct can still be treated as needing revising -- a practice in computer programming known as refactoring. We document how late elementary to middle school students and their undergraduate instructors weigh the possibility of refactoring working…
Descriptors: Computation, Thinking Skills, Norms, Computer Science Education
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Aksit, Osman; Wiebe, Eric N. – Journal of Science Education and Technology, 2020
Computational thinking (CT) and modeling are authentic practices that scientists and engineers use frequently in their daily work. Advances in computing technologies have further emphasized the centrality of modeling in science by making computationally enabled model use and construction more accessible to scientists. As such, it is important for…
Descriptors: Thinking Skills, Science Instruction, Teaching Methods, Computer Science Education
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Burckhardt, Philipp; Nugent, Rebecca; Genovese, Christopher R. – Journal of Statistics and Data Science Education, 2021
Revisiting the seminal 2010 Nolan and Temple Lang article on the role of computing in the statistics curricula, we discuss several trends that have emerged over the last ten years. The rise of data science has coincided with a broadening audience for learning statistics and using computational packages and tools. It has also increased the need for…
Descriptors: Statistics Education, Teaching Methods, Web Based Instruction, Data Analysis
Green, Caitlin Moriah – ProQuest LLC, 2018
This dissertation is a mixed-methods ethnographic study of students in the introductory class in the Engineering & Computer Science (ECS) department at University of California, Davis (UC Davis). I collected audio-recorded natural speech and questionnaire data from students attending this course during two academic quarters, Fall 2016 and…
Descriptors: Computer Science Education, Metalinguistics, Ethnography, Introductory Courses
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Kaila, Erkki; Kurvinen, Einari; Lokkila, Erno; Laakso, Mikko-Jussi – ACM Transactions on Computing Education, 2016
Educational technology offers several potential benefits for programming education. Still, to facilitate the technology properly, integration into a course must be carefully designed. In this article, we present a redesign of an object-oriented university-level programming course. In the redesign, a collaborative education tool was utilized to…
Descriptors: Curriculum Development, Programming, Computer Science Education, Active Learning
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Feng, Mingyu, Ed.; Käser, Tanja, Ed.; Talukdar, Partha, Ed. – International Educational Data Mining Society, 2023
The Indian Institute of Science is proud to host the fully in-person sixteenth iteration of the International Conference on Educational Data Mining (EDM) during July 11-14, 2023. EDM is the annual flagship conference of the International Educational Data Mining Society. The theme of this year's conference is "Educational data mining for…
Descriptors: Information Retrieval, Data Analysis, Computer Assisted Testing, Cheating
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Louca, Loucas T.; Zacharia, Zacharias C.; Constantinou, Constantinos P. – Journal of Research in Science Teaching, 2011
The purpose of this study was to investigate whole classroom discourse during modeling-based learning in science, seeking to describe the discourse's characteristics, its relation to the micro-context in which it took place and to the student-constructed models, and to ascertain when it becomes productive. Additionally, we aimed to describe how…
Descriptors: Foreign Countries, Elementary School Science, Teacher Role, Programming
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers