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Rebecca Smith – ProQuest LLC, 2019
In recent years, computer science has become a cornerstone of modern society. As a result, enrollment in undergraduate computer science programs has expanded rapidly. While the influx of talent into the field will undoubtedly lead to countless technological developments, this growth also brings new pedagogical challenges. Educational resources,…
Descriptors: Computer Science Education, Individualized Instruction, Interaction, Learning Experience
Becker, Brett A.; Glanville, Graham; Iwashima, Ricardo; McDonnell, Claire; Goslin, Kyle; Mooney, Catherine – Computer Science Education, 2016
Programming is an essential skill that many computing students are expected to master. However, programming can be difficult to learn. Successfully interpreting compiler error messages (CEMs) is crucial for correcting errors and progressing toward success in programming. Yet these messages are often difficult to understand and pose a barrier to…
Descriptors: Computer Science Education, Programming, Novices, Error Patterns
Grey, Simon; Grey, David; Gordon, Neil; Purdy, Jon – International Journal of Game-Based Learning, 2017
This paper offers an approach to designing game-based learning experiences inspired by the Mechanics-Dynamics-Aesthetics (MDA) model (Hunicke et al., 2004) and the elemental tetrad model (Schell, 2008) for game design. A case for game based learning as an active and social learning experience is presented including arguments from both teachers and…
Descriptors: Instructional Design, Educational Games, Models, Active Learning
Karnalim, Oscar – Themes in Science and Technology Education, 2017
This paper empirically enlists Python plagiarism attacks that have been found on Introductory Programming course assignments for undergraduate students. According to our observation toward 400 plagiarism-suspected cases, there are 35 plagiarism attacks that have been conducted by students. It starts with comment & whitespace modification as…
Descriptors: Plagiarism, Introductory Courses, Programming Languages, Taxonomy
Crespo-Pereira, Verónica; Martínez-Fernández, Valentín-Alejandro; Campos-Freire, Francisco – Comunicar: Media Education Research Journal, 2017
The new media landscape is characterized by the fragmentation and disaffection of the audience towards traditional television. Such a context requires innovative strategies to meet the needs of the public and connect with it. This article analyses the ability of Neuroscience to optimize the production of content adapted to audiences. For this…
Descriptors: Neurosciences, Public Television, Programming (Broadcast), Foreign Countries
Uysal, V. Safak; Topaloglu, Fulden – International Journal of Art & Design Education, 2017
Design education is in need of a wider restructuring to accommodate new developments and paradigmatic shifts brought forth by the information age, all of which capitalise a move towards complexity theory, systems science and digital technologies. The intention of this article is to approach one particular aspect of this need: that is, how basic…
Descriptors: Foreign Countries, Design, Industry, Computation
Umapathy, Karthikeyan; Ritzhaupt, Albert D. – ACM Transactions on Computing Education, 2017
Several experiments on the effects of pair programming versus solo programming in the context of education have been reported in the research literature. We present a meta-analysis of these studies that accounted for 18 manuscripts with 28 independent effect sizes in the domains of programming assignments, exams, passing rates, and affective…
Descriptors: Programming, Cooperative Learning, Computer Science Education, Educational Practices
Gonzalez, Ruben – International Association for Development of the Information Society, 2017
There are many difficulties with learning and teaching programming that can be alleviated with the use of software tools. Most of these tools have focused on the teaching of introductory programming concepts where commonly code fragments or small user programs are run in a sandbox or virtual machine, often in the cloud. These do not permit user…
Descriptors: Programming, Computer Science Education, Automation, Advanced Courses
Carpenter, Bob; Gelman, Andrew; Hoffman, Matthew D.; Lee, Daniel; Goodrich, Ben; Betancourt, Michael; Brubaker, Marcus A.; Guo, Jiqiang; Li, Peter; Riddell, Allen – Grantee Submission, 2017
Stan is a probabilistic programming language for specifying statistical models. A Stan program imperatively defines a log probability function over parameters conditioned on specified data and constants. As of version 2.14.0, Stan provides full Bayesian inference for continuous-variable models through Markov chain Monte Carlo methods such as the…
Descriptors: Programming Languages, Probability, Bayesian Statistics, Monte Carlo Methods
Tran, Yune Kim – AERA Online Paper Repository, 2017
This research examined over 200 elementary students' pre and post-test changes in computational thinking from a 10-week coding program delivered as part of the regular school day. Participants benefited from early access to computer science (CS) lessons with increases in understanding and applying coding concepts. Interviews from participants…
Descriptors: Computation, Thinking Skills, Elementary School Students, Grade 3
Hansen, Alexandria Killian; Iveland, Ashley; Harlow, Danielle Boyd; Dwyer, Hilary; Franklin, Diana – Science and Children, 2015
As science teachers continue preparing for implementation of the "Next Generation Science Standards," one recommendation is to use computer programming as a promising context to efficiently integrate science and engineering. In this article, a interdisciplinary team of educational researchers and computer scientists describe how to use…
Descriptors: Animation, Programming, Integrated Curriculum, Science Education
Alexandron, Giora; Armoni, Michal; Gordon, Michal; Harel, David – ACM Transactions on Computing Education, 2014
In this article, we discuss the possible connection between the programming language and the paradigm behind it, and programmers' tendency to adopt an external or internal perspective of the system they develop. Based on a qualitative analysis, we found that when working with the visual, interobject language of live sequence charts (LSC),…
Descriptors: Programming Languages, Attitudes, Usability, Problem Solving
Gilbert, Christopher J. – Journal of the Scholarship of Teaching and Learning, 2021
Generation Z (Gen Z) represents something of a quintessence for the broken promises that now seem to make up the promise of higher education. But if despair indicates the dark side of generational malaise around things like civic engagement, community, and student learning, the dark humor that has emerged out of these generations points to modes…
Descriptors: Age Groups, Higher Education, Humor, Citizen Participation
Hunter, Jane; Fitzgerald, Terry – Journal of Computers in Mathematics and Science Teaching, 2021
In a study on digital game-based learning in five high-poverty elementary schools in the Philippines, the teachers' professional development experiences were investigated. Research conducted for the study was part of a university-industry partnership with the developer of a new platform designed to give teachers and students experience of…
Descriptors: Professional Development, Elementary School Teachers, Poverty, Disadvantaged Schools
Kim, Sunghwan; Bucholtz, Ehren C.; Briney, Kristin; Cornell, Andrew P.; Cuadros, Jordi; Fulfer, Kristen D.; Gupta, Tanya; Hepler-Smith, Evan; Johnston, Dean H.; Lang, Andrew S. I. D.; Larsen, Delmar; Li, Ye; McEwen, Leah R.; Morsch, Layne A.; Muzyka, Jennifer L.; Belford, Robert E. – Journal of Chemical Education, 2021
While cheminformatics skills necessary for dealing with an ever-increasing amount of chemical information are considered important for students pursuing STEM careers in the age of big data, many schools do not offer a cheminformatics course or alternative training opportunities. This paper presents the Cheminformatics Online Chemistry Course…
Descriptors: Chemistry, Science Instruction, College Science, Undergraduate Study