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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
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
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
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
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
Cervera, Núria; Diago, Pascual D.; Orcos, Lara; Yáñez, Dionisio F. – Education Sciences, 2020
Educational robotics are commonly present in kindergarten and primary school classrooms, particularly Bee-bot. Its ease of use allows the introduction of computer programming to young children in educational contexts from a science, technology, engineering, arts, and mathematics (STEAM) perspective. Despite this rise, there are still few…
Descriptors: Thinking Skills, Mentors, Robotics, Educational Technology
Sharma, Madhav; Biros, David; Ayyalasomayajula, Surya; Dalal, Nikunj – Journal of Information Systems Education, 2020
Teaching introductory programming to IS students is challenging. The educational, technological, demographic, and cultural landscape has changed dramatically in recent years. The post-millennial generation has different needs and expectations in an era of open resources. Learning to program is perceived as difficult, teaching approaches are…
Descriptors: Introductory Courses, Programming, Computer Science Education, Undergraduate Students
Eriksen, Kristina; Nielsen, Bjarne E.; Pittelkow, Michael – Journal of Chemical Education, 2020
We present a simple procedure to make an augmented reality app to visualize any chemical 3D model. The molecular structure may be based on crystallographic data or from computational modeling. This guide is made in such a way that no programming skills are needed, and the procedure uses free software and provides a way to visualize 3D structures…
Descriptors: Chemistry, Molecular Structure, Science Instruction, Teaching Methods
Kaya, Erdogan; Newley, Anna; Yesilyurt, Ezgi; Deniz, Hasan – Journal of College Science Teaching, 2020
With the release of the Next Generation Science Standards (NGSS), assessing K-12 science teachers' self-efficacy in Computational Thinking (CT) is an important research gap to study. Bandura defines self-efficacy as awareness of the individual's potential and capabilities to accomplish a goal. Teaching efficacy beliefs is a significant identifier…
Descriptors: Thinking Skills, Computation, Self Efficacy, Preservice Teachers
Dohn, Niels Bonderup – British Journal of Educational Technology, 2020
The ability to code computer programs is considered an important part of literacy in today's society. This paper reports from a case study in two sixth-grade classes where Scratch coding was part of six mathematics lessons. The aim of the study was to investigate how Scratch coding affected students' interest development in coding and in…
Descriptors: Coding, Secondary School Students, Mathematics Instruction, Student Interests
Anisimova, Ellina Sergeevna – Journal of Social Studies Education Research, 2020
The basics of digital literacy begin to form at an early age, and as they grow older, digital literacy must continue to evolve, adapting to the rapidly changing digital world. The first (both in importance and in time) after the family cognitive social institution for most people is the educational system, or rather, the system of preschool…
Descriptors: Technological Literacy, Preschool Teachers, Futures (of Society), Preservice Teachers
Burgos, Daniel, Ed. – Lecture Notes in Educational Technology, 2020
Educational Technology is the right couple to a radical innovation. Thanks to the appropriate technology in the right context with the best fit to the target audience, education can be drastically improved, meaning a better performance, competence achievement, match with the user's expectations and with the market needs. Serious games, Virtual…
Descriptors: Educational Change, Electronic Learning, Educational Innovation, Educational Technology

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