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De Bruyckere, Pedro; Kirschner, Paul A.; Hulshof, Casper – American Educator, 2020
This article is excerpted from "More Urban Myths about Learning and Education: Challenging Eduquacks, Extraordinary Claims, and Alternative Facts." The authors discuss some of the most often asked questions related to one basic principle in particular: "transfer of learning." Transfer of learning is seen as the use of…
Descriptors: Transfer of Training, Personality Traits, Skill Development, Problem Solving
Tian, Jing; Ren, Chang; Lei, Yingzhe; Wang, Yiheng – Journal of Geography in Higher Education, 2020
Participation of undergraduate students in research helps them nurture critical thinking, develop research skills, enhance self-confidence, and clarify their education or career paths. The curriculum is central to integrating teaching and research, and is a primary source for providing undergraduate research experience. This study designed a…
Descriptors: Foreign Countries, Undergraduate Students, Mathematics Instruction, Computer Uses in Education
Statter, David; Armoni, Michal – ACM Transactions on Computing Education, 2020
Abstraction is one of the most fundamental ideas in computer science (CS), and as such, according to Bruner, it should be taught spirally, starting as early as possible and revisited at every level of education. However, teaching CS abstraction to novices is a very challenging task, and CS educational research has often demonstrated students'…
Descriptors: Middle School Students, Grade 7, Computer Science Education, Abstract Reasoning
Cullen, Craig J.; Hertel, Joshua T.; Nickels, Megan – Educational Forum, 2020
We review literature relevant to using technology in the teaching/learning of mathematics to highlight four roles of effective technology use: (a) promoting cycles of proof; (b) presenting and connecting multiple representations; (c) supporting case-based reasoning; and (d) serving as a tutee. We then discuss how they intersect with good…
Descriptors: Mathematics Education, Technology Integration, Preservice Teacher Education, Instructional Effectiveness
Rich, Kathryn M.; Spaepen, Elizabet; Strickland, Carla; Moran, Cheryl – Interactive Learning Environments, 2020
A key debate in computer science education is whether and how computational thinking (CT) is used within disciplines other than computer science. Broad definitions provide many avenues for developing integrated instruction, as practices within existing activities can simply be reframed in terms of CT. But such general use of the term CT may…
Descriptors: Computer Science Education, Mathematics Education, Mathematics Skills, Elementary School Students
Liew, Tze Wei; Tan, Su-Mae; Tan, Teck Ming; Kew, Si Na – Information and Learning Sciences, 2020
Purpose: This study aims to examine the effects of voice enthusiasm (enthusiastic voice vs calm voice) on social ratings of the speaker, cognitive load and transfer performance in multimedia learning. Design/methodology/approach: Two laboratory experiments were conducted in which learners learned from a multimedia presentation about computer…
Descriptors: Cues, Cognitive Processes, Difficulty Level, Transfer of Training
Taylor, Matthew S.; Vasquez, Eleazar; Donehower, Claire – Journal of Special Education Technology, 2017
Students of all ages and abilities must be given the opportunity to learn academic skills that can shape future opportunities and careers. Researchers in the mid-1970s and 1980s began teaching young students the processes of computer programming using basic coding skills and limited technology. As technology became more personalized and easily…
Descriptors: Programming, Down Syndrome, Elementary School Students, Case Studies
Papadakis, Stamatios; Kalogiannakis, Michail; Orfanakis, Vasileios; Zaranis, Nicholas – International Journal of Web-Based Learning and Teaching Technologies, 2017
Teaching programming is a complex task. The task is even more challenging for introductory modules. There is an ongoing debate in the teaching community over the best approach to teaching introductory programming. Visual block-based programming environments allow school students to create their own programs in ways that are more accessible than in…
Descriptors: Introductory Courses, Programming, Elementary Education, Secondary Education
Soboleva, Elena V.; Sabirova, Elvira G.; Babieva, Nigina S.; Sergeeva, Marina G.; Torkunova, Julia V. – EURASIA Journal of Mathematics, Science and Technology Education, 2021
The research is relevant as educational computer games are included in students' mathematical activity and form additional opportunities to improve the quality of teaching mathematics in a digital school, to support the formation of the demanded professional competence - computational thinking. To form the appropriate skills that determine the…
Descriptors: Computer Science Education, Computer Games, Educational Games, Game Based Learning
Kiliç, Servet; Gökoglu, Seyfullah; Öztürk, Mücahit – Journal of Educational Computing Research, 2021
In this research, a scale was developed to determine the programming-oriented computational thinking skills of university students. The participants were 360 students studying in various departments at different universities in Turkey for computer programming. The scale consists of 33 items under conceptual knowledge, algorithmic thinking, and…
Descriptors: Test Validity, Test Reliability, Test Construction, Programming
Sparf, Maria – Designs for Learning, 2021
Within a theoretical framework grounded in design for learning, this article presents a research project about pupils' engagement during programming education. In a design-theoretical perspective, everyone who is somehow engaged in a learning process is a designer. The results show that how pupils design their learning when programming is related…
Descriptors: Learner Engagement, Programming, Computer Science Education, Foreign Countries
Kisling, Reid; Peterson, Andrew; Nisbet, Robert – Strategic Enrollment Management Quarterly, 2021
Data analytics is undergoing an evolution through effective data use to support both operational and learning analytics models. However, this evolution will require that institutional leaders transform their data systems to best support the needs of application modeling and use their intuition to help drive the development of better analytical…
Descriptors: Higher Education, Learning Analytics, Models, Instructional Leadership
Papadakis, Stamatios; Vaiopoulou, Julie; Sifaki, Eirini; Stamovlasis, Dimitrios; Kalogiannakis, Michail – Education Sciences, 2021
The introduction of STEM education, and specifically the implementation of educational robotics (ER), has drawn researchers' attention and has shown that teachers play a crucial role in leading this innovation. The present study concerns in-service and pre-service early childhood teachers, focusing on their perceptions and attitudes about ER use…
Descriptors: Educational Technology, Technology Integration, Robotics, STEM Education
Huang, Sheng-Bo; Jeng, Yu-Lin; Lai, Chin-Feng – Journal of Educational Computing Research, 2021
In recent years, the government has actively set up computer programming courses to train those with the relevant talent; however, the learning performance of the students is not ideal. Therefore, in order to learn programming skills, students usually adopt note-taking strategies because, due to the pressure of the course, the teachers do not have…
Descriptors: Notetaking, Learning Strategies, Cognitive Style, Peer Teaching
Lu, Owen H. T.; Huang, Anna Y. Q.; Tsai, Danny C. L.; Yang, Stephen J. H. – Educational Technology & Society, 2021
Human-guided machine learning can improve computing intelligence, and it can accurately assist humans in various tasks. In education research, artificial intelligence (AI) is applicable in many situations, such as predicting students' learning paths and strategies. In this study, we explore the benefits of repetitive practice of short-answer…
Descriptors: Test Items, Artificial Intelligence, Test Construction, Student Evaluation

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