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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
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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
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Stephen R. Flemming – English Journal, 2021
Having students read news articles or novels, watch television snippets, engage in class discussions, essay-writing, emailing, and drafting letters are excellent ways to broach any number of society's systemic and oppressive social maladies. Engaging in these activities in the English language arts classroom can serve as a catalyst to encourage…
Descriptors: Advocacy, Scripts, Social Problems, Social Justice
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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
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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
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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
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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
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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
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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
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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
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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
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Yousef, Areej – International Journal of Bilingual Education and Bilingualism, 2022
This paper explores the language planning strategies employed by Australian transnational families of Arabic-speaking backgrounds to develop their children's bilingualism in English and Arabic. The paper concludes that the families' transnationalism and strong links with their countries of origin played a significant role in their language…
Descriptors: Language Usage, Family Relationship, Native Language, Arabic
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Krüger, Ralph – Interpreter and Translator Trainer, 2022
This paper intends to illustrate the didactic potential of Python-based Jupyter notebooks in teaching translation technology, machine translation in particular, to translation students. It discusses the basic makeup of Jupyter notebooks and shows how these notebooks can be set up for students who have had little to no prior exposure to the Python…
Descriptors: Translation, Second Language Learning, Second Language Instruction, Natural Language Processing
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Mouza, Chrystalla; Pan, Yi-Cheng; Yang, Hui; Pollock, Lori – Journal of Educational Computing Research, 2020
In this work, we examine whether repeated participation in an after-school computing program influenced student learning of computational thinking concepts, practices, and perspectives. We also examine gender differences in learning outcomes. The program was developed through a school-university partnership. Data were collected from 138 students…
Descriptors: After School Programs, Thinking Skills, Computer Science Education, Repetition
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