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Mark Monnin; Lori L. Sussman – Journal of Cybersecurity Education, Research and Practice, 2024
Data transfer between isolated clusters is imperative for cybersecurity education, research, and testing. Such techniques facilitate hands-on cybersecurity learning in isolated clusters, allow cybersecurity students to practice with various hacking tools, and develop professional cybersecurity technical skills. Educators often use these remote…
Descriptors: Computer Science Education, Computer Security, Computer Software, Data
Šaric-Grgic, Ines; Grubišic, Ani; Šeric, Ljiljana; Robinson, Timothy J. – International Journal of Distance Education Technologies, 2020
The idea of clustering students according to their online learning behavior has the potential of providing more adaptive scaffolding by the intelligent tutoring system itself or by a human teacher. With the aim of identifying student groups who would benefit from the same intervention in AC-ware Tutor, this research examined online learning…
Descriptors: Learning Analytics, Intelligent Tutoring Systems, Grouping (Instructional Purposes), Undergraduate Students
Blikstein, Paulo; Worsley, Marcelo; Piech, Chris; Sahami, Mehran; Cooper, Steven; Koller, Daphne – Journal of the Learning Sciences, 2014
New high-frequency, automated data collection and analysis algorithms could offer new insights into complex learning processes, especially for tasks in which students have opportunities to generate unique open-ended artifacts such as computer programs. These approaches should be particularly useful because the need for scalable project-based and…
Descriptors: Programming, Computer Science Education, Learning Processes, Introductory Courses
Poor, G. Michael; Leventhal, Laura M.; Barnes, Julie; Hutchings, Duke R.; Albee, Paul; Campbell, Laura – ACM Transactions on Computing Education, 2012
Usability and accessibility have become increasingly important in computing curricula. This article briefly reviews how these concepts may be included in existing courses. The authors conducted a survey of student attitudes toward these issues at the start and end of a usability engineering course that included a group project with an…
Descriptors: Majors (Students), Student Projects, Student Attitudes, Engineering
Zendler, A.; Spannagel, C.; Klaudt, D. – IEEE Transactions on Education, 2011
Constructivist approaches to computer science education emphasize that as well as knowledge, thinking skills and processes are involved in active knowledge construction. K-12 computer science curricula must not be based on fashions and trends, but on contents and processes that are observable in various domains of computer science, that can be…
Descriptors: Computer Science Education, Elementary Secondary Education, Thinking Skills, Cluster Grouping
Amershi, Saleema; Conati, Cristina – Journal of Educational Data Mining, 2009
In this paper, we present a data-based user modeling framework that uses both unsupervised and supervised classification to build student models for exploratory learning environments. We apply the framework to build student models for two different learning environments and using two different data sources (logged interface and eye-tracking data).…
Descriptors: Supervision, Classification, Models, Educational Environment
Karavirta, Ville; Korhonen, Ari; Malmi, Lauri – Computer Science Education, 2006
Automatic assessment systems generally support immediate grading and response on learners' submissions. They also allow learners to consider the feedback, revise, and resubmit their solutions. Several strategies exist to implement the resubmission policy. The ultimate goal, however, is to improve the learning outcomes, and thus the strategies…
Descriptors: Feedback (Response), Student Evaluation, Computer Managed Instruction, Foreign Countries