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Lu, Chang; Macdonald, Rob; Odell, Bryce; Kokhan, Vasyl; Demmans Epp, Carrie; Cutumisu, Maria – Journal of Computing in Higher Education, 2022
The field of computational thinking (CT) is developing rapidly, reflecting its importance in the global economy. However, most empirical studies have targeted CT in K-12, thus, little attention has been paid to CT in higher education. The present scoping review identifies and summarizes existing empirical studies on CT assessments in…
Descriptors: Computation, Thinking Skills, Higher Education, Educational Trends
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Ghilay, Yaron – Journal of Educational Technology, 2018
The aim of the study was to examine the effectiveness of a model called Video-Based Learning (VBL). VBL is designed to improve the learning of higher education courses, especially those based on activities performed on a computer screen, or learning related to the understanding of visual objects, such as formulas, equations, diagrams, etc. The…
Descriptors: Interactive Video, Higher Education, Student Attitudes, Foreign Countries
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Casola, Linda – National Academies Press, 2020
Established in December 2016, the National Academies of Sciences, Engineering, and Medicine's Roundtable on Data Science Postsecondary Education was charged with identifying the challenges of and highlighting best practices in postsecondary data science education. Convening quarterly for 3 years, representatives from academia, industry, and…
Descriptors: Meetings, Data Analysis, Postsecondary Education, Statistics Education
Fuwa, Minori; Kayama, Mizue; Kunimune, Hisayoshi; Hashimoto, Masami; Asano, David K. – International Association for Development of the Information Society, 2015
We have explored educational methods for algorithmic thinking for novices and implemented a block programming editor and a simple learning management system. In this paper, we propose a program/algorithm complexity metric specified for novice learners. This metric is based on the variable usage in arithmetic and relational formulas in learner's…
Descriptors: Integrated Learning Systems, Educational Technology, Technology Uses in Education, Mathematics
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Yang, Sojung; Park, Seongbin – Informatics in Education, 2014
There are many important issues in informatics and many agree that algorithms and programming are most important issues that need to be included in informatics education (Dagiene and Jevsikova, 2012). In this paper, we propose how some of these issues can be easily taught using the notion of a formal system which consists of axioms and inference…
Descriptors: Information Science, Teaching Methods, Inferences, Validity
Trapani, Josh; Hale, Katherine – National Science Foundation, 2019
The report provides a portrait of science and engineering (S&E) higher education in the United States, including trends over time and comparisons with other nations. S&E fields, as defined in this report, include astronomy, chemistry, physics, atmospheric sciences, earth sciences, ocean sciences, mathematics and statistics, computer…
Descriptors: Higher Education, Educational Indicators, Psychology, Biological Sciences
Karavirta, Ville – International Association for Development of the Information Society, 2013
Learning an algorithm--a systematic sequence of operations for solving a problem with given input--is often difficult for students due to the abstract nature of the algorithms and the data they process. To help students understand the behavior of algorithms, a subfield in computing education research has focused on algorithm…
Descriptors: Technology Uses in Education, Educational Technology, Electronic Learning, Telecommunications
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Reisel, John R.; Jablonski, Marissa; Hosseini, Hossein; Munson, Ethan – International Journal of Mathematical Education in Science and Technology, 2012
A summer bridge program for incoming engineering and computer science freshmen has been used at the University of Wisconsin-Milwaukee from 2007 to 2010. The primary purpose of this program has been to improve the mathematics course placement for incoming students who initially place into a course below Calculus I on the math placement examination.…
Descriptors: Academic Achievement, Engineering, Computer Science, Calculus
Easterly, Debra M.; Ricard, Cynthia S. – Journal of Research Administration, 2011
Issues surrounding gender discrimination have been addressed over the past 40 years with various pieces of legislation and federal policies that have made such discrimination illegal. The number of women in higher education as students and faculty has steadily increased since the 1950s, though only in certain disciplines and in the lower faculty…
Descriptors: Higher Education, Gender Discrimination, STEM Education, Biological Sciences
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Hoholdt, Tom – European Journal of Engineering Education, 1985
Examines some of the mathematical topics which are important in computer science by discussing in some detail the process of sorting by comparisons. (JN)
Descriptors: Computer Science, Computer Science Education, Higher Education, Mathematical Logic
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Sampson, Demetrios G., Ed.; Ifenthaler, Dirk, Ed.; Isaías, Pedro, Ed.; Mascia, Maria Lidia, Ed. – International Association for Development of the Information Society, 2019
These proceedings contain the papers of the 16th International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA 2019), held during November 7-9, 2019, which has been organized by the International Association for Development of the Information Society (IADIS) and co-organised by University Degli Studi di Cagliari, Italy.…
Descriptors: Teaching Methods, Cooperative Learning, Engineering Education, Critical Thinking
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Davis, Lynn K. – Mathematics and Computer Education, 1990
Outlines an articulation program between college and industry. Describes three seminar courses using the college's computer system. Considers the benefits of the program. (Author/YP)
Descriptors: College Mathematics, Computer Science, Computer Science Education, Cooperative Programs
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Kugel, Peter – Journal of Computers in Mathematics and Science Teaching, 1985
The controversy over whether or not machines can think has attracted the attention of philosophers, psychologists, neurologists, computer scientists, and writers of science fiction. Various topics and issues related to this controversy are discussed, including turing machines and the relationship between computer history and mathematical…
Descriptors: Artificial Intelligence, Computer Science, Computers, Higher Education
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Smith, Jessi L.; Sansone, Carol; White, Paul H. – Journal of Educational Psychology, 2007
Competence-based stereotypes can negatively affect women's performance in math and science (referred to as stereotype threat), presumably leading to lower motivation. The authors examined the effects of stereotype threat on interest, a motivational path not necessarily mediated by performance. They predicted that working on a computer science task…
Descriptors: Stereotypes, Females, Computer Science, Achievement Need
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Alexander, Sylvia; Bishop, Pam; Crawford, Ewan; McCartney, Mark – International Journal of Mathematical Education in Science & Technology, 2006
The results of a survey of the mathematics provision within UK university computer science departments are presented. In particular it is found that many academics are dissatisfied with the level of "mathematical preparedness" of their students. A number of recommendations and resources are suggested to address this. (Contains 6 figures.)
Descriptors: Scientists, Computer Science Education, Mathematics, Higher Education
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