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Blending Measures of Programming and Social Behavior into Predictive Models of Student Achievement in Early Computing Courses
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Carter, Adam S.; Hundhausen, Christopher D.; Adesope, Olusola – ACM Transactions on Computing Education, 2017
Analyzing the process data of students as they complete programming assignments has the potential to provide computing educators with insights into both their students and the processes by which they learn to program. In prior research, we explored the relationship between (a) students' programming behaviors and course outcomes, and (b) students'…
Descriptors: Social Behavior, Academic Achievement, Programming, Computer Science Education
Talking about Code: Integrating Pedagogical Code Reviews into Early Computing Courses
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Hundhausen, Christopher D.; Agrawal, Anukrati; Agarwal, Pawan – ACM Transactions on Computing Education, 2013
Given the increasing importance of soft skills in the computing profession, there is good reason to provide students withmore opportunities to learn and practice those skills in undergraduate computing courses. Toward that end, we have developed an active learning approach for computing education called the "Pedagogical Code Review"…
Descriptors: Computer Science Education, Active Learning, Undergraduate Students, Group Activities
Games and Machine Learning: A Powerful Combination in an Artificial Intelligence Course
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Wallace, Scott A.; McCartney, Robert; Russell, Ingrid – Computer Science Education, 2010
Project MLeXAI [Machine Learning eXperiences in Artificial Intelligence (AI)] seeks to build a set of reusable course curriculum and hands on laboratory projects for the artificial intelligence classroom. In this article, we describe two game-based projects from the second phase of project MLeXAI: Robot Defense--a simple real-time strategy game…
Descriptors: Games, Intercollegiate Cooperation, Curriculum Design, Curriculum Implementation
Knowing What I Know: An Investigation of Undergraduate Knowledge and Self-Knowledge of Data Structures
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Tenenberg, Josh; Murphy, Laurie – Computer Science Education, 2005
This paper describes an empirical study that investigated the knowledge that Computer Science students have about the extent of their own previous learning. The study compared self-generated estimates of performance with actual performance on a data structures quiz taken by undergraduate students in courses requiring data structures as a…
Descriptors: Feedback (Response), Undergraduate Students, Student Attitudes, Prior Learning
Selection of Server-Side Technologies for an E-Business Curriculum
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Sandvig, J. Christopher – Journal of Information Systems Education, 2007
The rapid growth of e-business and e-commerce has made server-side programming an increasingly important topic in information systems (IS) and computer science (CS) curricula. This article presents an overview of the major features of several popular server-side programming technologies and discusses the factors that influence the selection of…
Descriptors: Information Systems, Curriculum Development, Decision Making, Curriculum Implementation
Proceedings of the International Conference on Educational Data Mining (EDM) (2nd, Cordoba, Spain, July 1-3, 2009)
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Barnes, Tiffany, Ed.; Desmarais, Michel, Ed.; Romero, Cristobal, Ed.; Ventura, Sebastian, Ed. – International Working Group on Educational Data Mining, 2009
The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…
Descriptors: Data Analysis, Educational Research, Conferences (Gatherings), Foreign Countries