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Miedema, Daphne; Fletcher, George; Aivaloglou, Efthimia – ACM Transactions on Computing Education, 2023
Prior studies in the Computer Science education literature have illustrated that novices make many mistakes in composing SQL queries. Query formulation proves to be difficult for students. Only recently, some headway was made towards understanding why SQL leads to so many mistakes, by uncovering student misconceptions. In this article, we shed new…
Descriptors: Computer Science Education, Novices, Misconceptions, Programming Languages
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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
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Krusche, Stephan; Dzvonyar, Dora; Xu, Han; Bruegge, Bernd – ACM Transactions on Computing Education, 2018
Modern capstone courses use agile methods to deliver and demonstrate software early in the project. However, a simple demonstration of functional and static aspects does not provide real-world software usage context, although this is integral to understand software requirements. Software engineering involves capabilities such as creativity,…
Descriptors: Computer Software, Computer Science Education, Theater Arts, Vignettes
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Paassen, Benjamin; Hammer, Barbara; Price, Thomas William; Barnes, Tiffany; Gross, Sebastian; Pinkwart, Niels – Journal of Educational Data Mining, 2018
Intelligent tutoring systems can support students in solving multi-step tasks by providing hints regarding what to do next. However, engineering such next-step hints manually or via an expert model becomes infeasible if the space of possible states is too large. Therefore, several approaches have emerged to infer next-step hints automatically,…
Descriptors: Intelligent Tutoring Systems, Cues, Educational Technology, Technology Uses in Education
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Brinda, Torsten; Napierala, Stephan; Tobinski, David; Diethelm, Ira – Education and Information Technologies, 2019
The ability to categorize concepts is an essential capability for human thinking and action. On the one hand, the investigation of such abilities is the purview of psychology; on the other hand, subject-specific educational research is also of interest, as a number of research works in the field of science education show. For computer science…
Descriptors: Information Technology, Computer Science Education, Misconceptions, Student Attitudes
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Bischoff, Florian; Gassmann, Freya; Emrich, E. – International Journal of Higher Education, 2017
What features lead a student to choose sport science, chemistry, physics, computer science or musicology as their subject of study and the Saarland University Saarbrücken as their place of study? Empirical analysis shows that study conditions for students of chemistry, physics and music do not play an important role in selecting the place of…
Descriptors: Foreign Countries, College Choice, Course Selection (Students), College Students
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Shoufan, Abdulhadi; Lu, Zheng; Huss, Sorin A. – IEEE Transactions on Learning Technologies, 2015
This paper presents a web-based education platform for the visualization and animation of the digital logic design process. This includes the design of combinatorial circuits using logic gates, multiplexers, decoders, and look-up-tables as well as the design of finite state machines. Various configurations of finite state machines can be selected…
Descriptors: Visualization, Animation, Computer Simulation, Computer Science Education
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Vahrenhold, Jan; Paul, Wolfgang – Computer Science Education, 2014
We report on the development, validation, and implementation of a collection of test items designed to detect misconceptions related to first-year computer science courses. To this end, we reworked the development scheme proposed by Almstrum et al. ("SIGCSE Bulletin" 38(4):132-145, 2006) to include students' artifacts and to…
Descriptors: Computer Science Education, Introductory Courses, Test Items, Evaluation Methods
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Winn, Wendy; Beck, Katalin – International Online Journal of Education and Teaching, 2018
Given the rapid advances in information communication technology (ICT) and the ever-increasing likelihood that students will be collaborating on cross-cultural teams in their future careers, creating opportunities to engage in collaborative writing projects across borders and then observing the dynamics of international virtual online…
Descriptors: English for Special Purposes, Correlation, Engineering Education, Computer Science Education
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Amelung, M.; Krieger, K.; Rosner, D. – IEEE Transactions on Learning Technologies, 2011
Assessment is an essential element in learning processes. It is therefore not unsurprising that almost all learning management systems (LMSs) offer support for assessment, e.g., for the creation, execution, and evaluation of multiple choice tests. We have designed and implemented generic support for assessment that is based on assignments that…
Descriptors: Learning Processes, Programming Languages, Assignments, Programming
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Schilling, Jan; Klamma, Ralf – Assessment & Evaluation in Higher Education, 2010
Recently, there has been increasing criticism concerning academic computer science education. This paper presents a new approach based on the principles of constructivist learning design as well as the ideas of knowledge transfer in communities of practice. The course "High-tech Entrepreneurship and New Media" was introduced as an…
Descriptors: Computer Science Education, Case Studies, Constructivism (Learning), Communities of Practice
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Nunes, Miguel Baptista, Ed.; Isaias, Pedro, Ed. – International Association for Development of the Information Society, 2019
These proceedings contain the papers and posters of the International Conference on e-Learning (EL) 2019, which was organised by the International Association for Development of the Information Society and co-organised by the Instituto Superior de Engenharia do Porto, in Porto, Portugal, July 17-19, 2019. The EL 2019 conference aims to address the…
Descriptors: Educational Technology, Technology Uses in Education, Mathematics Instruction, Cooperation
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Griesbaum, Joachim; Gortz, Matthias – International Journal on E-Learning, 2010
This article discusses feedback methods for the enhancement of collaborative learning. It presents results of an exploratory study in which self- and peer-assessments were applied in order to provide students with feedback regarding their perceived individual learning involvement in the collaboration process of face-to-face and face-file-face…
Descriptors: Foreign Countries, Feedback (Response), Assignments, Group Dynamics
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Boyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals
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Rohde, M.; Klamma, R.; Jarke, M.; Wulf, V. – Behaviour & Information Technology, 2007
The present paper presents a longitudinal study of the course "High-tech Entrepreneurship and New Media." The course design is based on socio-cultural theories of learning and considers the role of social capital in entrepreneurial networks. By integrating student teams into the communities of practice of local start-ups, we offer…
Descriptors: Learning Theories, Cultural Background, Social Capital, Computer Science
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