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Finch, Lila; Moreno, Celeste; Shapiro, R. Benjamin – Cognition and Instruction, 2021
Creating learning environments that integrate arts, sciences, and computing in education can improve learning in these disciplines. In particular, transdisciplinary integrations of these disciplines can lead to expansive alterations or dissolutions of epistemological, ideological, and methodological boundaries. We wish to support teachers in the…
Descriptors: Interdisciplinary Approach, Learning Processes, Thinking Skills, Epistemology
Janine J. Darragh; Gina Mikel Petrie; Stan Pichinevskiy – International Journal of Designs for Learning, 2021
Educative Curriculum Materials (ECMs) are teaching materials that have the dual function of providing learning activities to students and providing professional development to the teachers that use them. Answering a call for professional development opportunities, and with input from English teachers in rural Nicaraguan schools, the designers…
Descriptors: Computer Software, Second Language Learning, Second Language Instruction, English (Second Language)
Végh, Ladislav; Stoffová, Veronika – Informatics in Education, 2017
Algorithms are hard to understand for novice computer science students because they dynamically modify values of elements of abstract data structures. Animations can help to understand algorithms, since they connect abstract concepts to real life objects and situations. In the past 30-35 years, there have been conducted many experiments in the…
Descriptors: Teaching Methods, Animation, College Freshmen, Pretests Posttests
Jones, Irma S.; Blankenship, Dianna – Research in Higher Education Journal, 2017
Presently, at the post-secondary level, digital or online education is offered in addition to traditional face-to-face courses and the number of online course offerings is rapidly growing. The "Occupational Outlook Handbook" reveals that employment in" computer and information technology" occupations is projected to grow 12…
Descriptors: Online Courses, Student Attitudes, Computer Science Education, Preferences
Mostafavi, Behrooz; Barnes, Tiffany – International Journal of Artificial Intelligence in Education, 2017
Deductive logic is essential to a complete understanding of computer science concepts, and is thus fundamental to computer science education. Intelligent tutoring systems with individualized instruction have been shown to increase learning gains. We seek to improve the way deductive logic is taught in computer science by developing an intelligent,…
Descriptors: Artificial Intelligence, Problem Solving, Educational Technology, Technology Uses in Education
Barkhatova, Daria; Nigmatulina, Elmira; Stepanova, Tatyana – Journal of Social Studies Education Research, 2017
The relevance of the problem under study is due to the society's requirements for the quality information training of a personality which is oriented to forming the solid fundamental knowledge as well as to developing the cognitive capacities that are needed for solving mental tasks. With regard to this, the paper is aimed at finding out the…
Descriptors: Cognitive Processes, Teaching Methods, Computer Science Education, Psychological Patterns
Miller, Jodie – ZDM: The International Journal on Mathematics Education, 2019
Cross-curricula opportunities afforded by STEM education (Science, Technology, Engineering and Mathematics education), supports an environment where students can develop twenty-first century competencies. One approach to addressing cross-curricula opportunities in STEM education is the introduction of computer science (computer…
Descriptors: STEM Education, Interdisciplinary Approach, Thinking Skills, Coding
Vakil, Sepehr; de Royston, Maxine McKinney – Race, Ethnicity and Education, 2019
Over the past decade, abroad range of policymakers, corporations, educators, and scholars in the United States have catapulted computer science (CS) education from the sidelines to the center of K-12 public education discourse. While calls for CS education are often framed in terms of national and economic competitiveness, there is a growing…
Descriptors: Trust (Psychology), Computer Science Education, Intervention, Ethics
Prasetya, Didik Dwi; Wibawa, Aji Prasetya; Hirashima, Tsukasa; Hayashi, Yusuke – Electronic Journal of e-Learning, 2020
Blended learning is a hybrid of traditional face-to-face and different types of online learning services. Blended learning offers synchronous and asynchronous learning experiences that combine the conveniences of online courses while maintaining in-person contact. Blended learning addresses the needs of students who are unable to attend classes…
Descriptors: Instructional Design, Blended Learning, Online Courses, Teaching Methods
Saito, Tomohiro; Watanobe, Yutaka – International Journal of Distance Education Technologies, 2020
Programming education has recently received increased attention due to growing demand for programming and information technology skills. However, a lack of teaching materials and human resources presents a major challenge to meeting this demand. One way to compensate for a shortage of trained teachers is to use machine learning techniques to…
Descriptors: Programming, Computer Science Education, Electronic Learning, Instructional Materials
Sra, Pushp; Chakraborty, Pinaki – Journal of Educational Technology Systems, 2018
Massive open online courses (MOOCs) have lately emerged as an effective form of distance education. Computer science is one of those disciplines in which MOOCs are quite common. We conducted a survey to know the opinion of computer science instructors and undergraduate students on MOOCs in an Indian university in March 2018. Of the 26 instructors…
Descriptors: Online Courses, Large Group Instruction, Distance Education, Educational Technology
Roll, Ido; Russell, Daniel M.; Gaševic, Dragan – International Journal of Artificial Intelligence in Education, 2018
Learning at Scale is a fast growing field that affects formal, informal, and workplace education. Highly interdisciplinary, it builds on solid foundations in the learning sciences, computer science, education, and the social sciences. We define learning at scale as the study of the technologies, pedagogies, analyses, and theories of learning and…
Descriptors: Interdisciplinary Approach, Computer Science Education, Social Sciences, Learning
Liu, Sa; Liu, Xiaolu; Shangguan, Rulan; Lim, Mihyun; Keating, Xiaofen D. – ICHPER-SD Journal of Research, 2018
The increasingly critical role of technology in teaching has resulted in noticeable reform efforts and updating Physical Education Teacher Education (PETE) programs to meet new educational needs. This study investigated the technology components included in PETE undergraduate curricula in U.S. public research universities. Using comparative…
Descriptors: Physical Education, Teaching Methods, Educational Technology, Technology Uses in Education
Cengel, Metin; Alkan, Ayse; Cayir, Esra – Online Submission, 2018
Increasing the quality and effectiveness of education and training, contributing to the social, political and economic structure of the countries is something that educators and educational policy makers are always working on. Increasing the quality of education and training nowadays can be achieved with the development of 21st century skills in…
Descriptors: Information Technology, Coding, Robotics, Computer Science Education
Chang, Chih-Kai; Yang, Ya-Fei; Tsai, Yu-Tzu – Education for Information, 2017
Previous research indicates that understanding the state of learning motivation enables researchers to deeply understand students' learning processes. Studies have shown that visual programming languages use graphical code, enabling learners to learn effectively, improve learning effectiveness, increase learning fun, and offering various other…
Descriptors: Programming Languages, Student Motivation, Questionnaires, Correlation

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