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Showing 1 to 15 of 16 results Save | Export
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Paassen, Benjamin; McBroom, Jessica; Jeffries, Bryn; Koprinska, Irena; Yacef, Kalina – Journal of Educational Data Mining, 2021
Educational data mining involves the application of data mining techniques to student activity. However, in the context of computer programming, many data mining techniques can not be applied because they require vector-shaped input, whereas computer programs have the form of syntax trees. In this paper, we present ast2vec, a neural network that…
Descriptors: Data Analysis, Programming Languages, Networks, Novices
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Selwyn, Neil; Gaševic, Dragan – Teaching in Higher Education, 2020
A common recommendation in critiques of datafication in education is for greater conversation between the two sides of the (critical) divide -- what might be characterised as sceptical social scientists and (supposedly) more technically-minded and enthusiastic data scientists. This article takes the form of a dialogue between two academics…
Descriptors: Criticism, Data Analysis, Higher Education, Dialogs (Language)
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Iatrellis, Omiros; Savvas, Ilias ?.; Fitsilis, Panos; Gerogiannis, Vassilis C. – Education and Information Technologies, 2021
Learning analytics have proved promising capabilities and opportunities to many aspects of academic research and higher education studies. Data-driven insights can significantly contribute to provide solutions for curbing costs and improving education quality. This paper adopts a two-phase machine learning approach, which utilizes both…
Descriptors: Prediction, Outcomes of Education, Higher Education, Data Analysis
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Liu, Xiaoming; Schwieger, Dana – Information Systems Education Journal, 2023
Rapid advancements and emergent technologies add an additional layer of complexity to preparing computer science and information technology higher education students for entering the post pandemic job market. Knowing and predicting employers' technical skill needs is essential for shaping curriculum development to address the emergent skill gap.…
Descriptors: Network Analysis, Employment Opportunities, Information Technology, Computer Science Education
Banerjee, Gargi; Murthy, Sahana; Iyer, Sridhar – Research and Practice in Technology Enhanced Learning, 2015
Multiple studies report that Computer Science (CS) instructors face problems on how to integrate visualizations in their teaching. This problem gets compounded for instructors in technology-constrained classrooms that are common in developing countries. In these classrooms, students are not able to interact with visualization directly; instead,…
Descriptors: Active Learning, Computer Science Education, Visualization, Teaching Methods
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Rafferty, Anna N., Ed.; Whitehill, Jacob, Ed.; Romero, Cristobal, Ed.; Cavalli-Sforza, Violetta, Ed. – International Educational Data Mining Society, 2020
The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…
Descriptors: Educational Improvement, Teaching Methods, Information Retrieval, Data Processing
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Wileman, Stanley; And Others – Journal of Computers in Mathematics and Science Teaching, 1982
Strong relationships were found between mathematical competencies and probable success in beginning computer science courses. It is felt the study reinforces the importance of all students attaining mathematical competence while in high school. The possibility of more accurately advising students regarding potential for success in computer science…
Descriptors: Achievement, College Mathematics, Computer Science, Computer Science Education
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Stephens, Larry; And Others – Journal of Computers in Mathematics and Science Teaching, 1985
Further validated the Konvalina, Stephens, Wileman (KSW) Computer Science Placement Test by administering it to 152 Philippine students. A practical procedure for placing students using the results of the KSW test is also included. This procedure has been successfully applied at the University of Nebraska (Omaha) for over two years. (JN)
Descriptors: Academic Achievement, Academic Aptitude, Computer Science, Computer Science Education
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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
HAMBLEN, JOHN W. – 1967
THIS SURVEY RELATES ESTIMATES ON (1) AMOUNT AND SOURCE OF COLLEGE AND UNIVERSITY EXPENDITURES FOR COMPUTERS IN RESEARCH AND INSTRUCTIONAL ACTIVITIES, (2) AVAILABILITY OF COMPUTERS AND DISTRIBUTION OF RESEARCH AND INSTRUCTIONAL USAGE IN GRADUATE AND UNDERGRADUATE ACADEMIC AREAS, AND (3) DEGREE PROGRAMS OFFERED IN COMPUTER SCIENCE. A STRATIFIED…
Descriptors: Bachelors Degrees, Computer Science, Computer Science Education, Computers
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Shamo, G. Wayne – Journalism Quarterly, 1975
Concludes that time-consuming man-made counts of syllables can quite accurately be done by computers. (RB)
Descriptors: Computer Science, Computers, Educational Research, Higher Education
Jones, Jack William – Journal of Educational Data Processing, 1977
This research is concerned with the development and application of a computer-based simulation model of university baccalaureate degree nursing educational programs in the United States. (Author)
Descriptors: Computer Science, Educational Policy, Higher Education, Models
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Petersen, Charles G.; Howe, Trevor G. – AEDS Journal, 1979
Biographical, tempermental, and aptitude data were collected for two semesters from students enrolled in an introductory computer class. Only college grade point average and general intelligence contributed significantly to the model. (Author/IRT)
Descriptors: Academic Ability, Academic Achievement, College Students, Computer Science Education
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Gray, John S. – Journal of Computing in Higher Education, 1994
A detailed analysis and computer-based solution to a puzzle addressing the arrangement of dominoes on a grid is presented. The problem is one used in a college-level data structures or algorithms course. The solution uses backtracking to generate all possible answers. Details of the use of backtracking and techniques for mapping abstract problems…
Descriptors: Algorithms, Computer Assisted Instruction, Computer Science Education, Computer Software
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Wileman, Stanley; And Others – Journal of Educational Research, 1981
Eight factors were studied to determine their relationship to success in a beginning computer science course. Significant correlations were found between the final exam score and reading comprehension, sequence completion, logical reasoning, and algorithmic execution. (Authors/JN)
Descriptors: Academic Achievement, Academic Aptitude, Algorithms, Computer Science Education
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