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R. Rosario; T. S. Hopper; A. Huang-Saad – Biomedical Engineering Education, 2022
There are increasing calls for the use of research-based teaching strategies to improve engagement and learning in engineering. In this innovation paper, we detail the application of research-based teaching strategies in a computer programming focused biomedical engineering module. This four-week, one-credit undergraduate biomedical engineering…
Descriptors: Undergraduate Students, Biomedicine, Engineering Education, Programming
Ineç, Zekeriya Fatih – Shanlax International Journal of Education, 2021
This study aimed to explain the development stages of an online coding application engine (SIGUN) according to the R2D2 instructional design model to support and develop cultural transfer in social sciences education and popularize the national culture. During the definition phase of R2D2, analyzes of needs, learner, task and content were made. In…
Descriptors: Coding, Social Sciences, Cultural Awareness, Nationalism
Bezuidenhout, Hanrie S. – South African Journal of Childhood Education, 2021
Background: The South African Department of Basic Education (DBE) aims to expand science, technology, engineering and mathematics (STEM) learning in the national curriculum through a "Digital Skills for All Curriculum" (DSfAC) for Grade R-9. The DSfAC intends to educate a STEM-literate future citizenry with refined computational thinking…
Descriptors: Elementary School Students, STEM Education, Reading Programs, Curriculum Development
Iqbal Malik, Sohail; Mathew, Roy; Tawafak, Ragad M.; Alfarsi, Ghaliya – E-Learning and Digital Media, 2021
Algorithmic thinking is considered as one of the important steps toward learning to code for novices in programming education. In this study, algorithmic thinking was promoted by introducing a Problem Analysis Algorithmic Model (PAAM) in an Algorithms and Programming 1 (AP) course. A web-based application is developed to offer the PAAM model in…
Descriptors: Web Based Instruction, Models, Computer Science Education, Programming
Dwivedi, Rajeev; Kumar, Arpan; Babu, Bharathy; Grandhi, Nipun; Meka, Rishi; Ahuja, Varun – Education Sciences, 2021
Finding context, examples, and ample hands-on experimentation is fundamental for understanding complex ideas in subjects such as science and math. Recent popularity of competitive robotics has become a catalyst in the development of DIY and hobby kits. Manufacturers have made available easy to work, re-configurable, and functional, structural…
Descriptors: Competition, Robotics, Class Activities, Skill Development
Ma, Hongliang; Zhao, Mei; Wang, Huixin; Wan, Xinqi; Cavanaugh, Terence W.; Liu, Ji – Educational Technology Research and Development, 2021
Computational thinking (CT) is a fundamental skill and an analytical ability that children in the twenty-first century should develop. Students should begin to work with algorithmic problem-solving and computational methods in K-12. Drawing on a conceptual framework (IGGIA) that combines CT and problem-solving, this study designed and implemented…
Descriptors: Computer Science Education, Programming Languages, Thinking Skills, Problem Solving
Kaufmann, Odd Tore; Stenseth, Børre – International Journal of Mathematical Education in Science and Technology, 2021
This article attempts to identify the kind of arguments that lower secondary school-level pupils use when they apply programming to solve a mathematical problem. By analyzing the data from one group of three pupils working together with Processing (Processing is a Java based tool primarily to learn programme visual effects supported and…
Descriptors: Programming, Teaching Methods, Secondary School Mathematics, Persuasive Discourse
Yong, Su Ting; Tiong, Kung Ming; Chan, Andy; Khiew, Poi Sim – International Journal of Virtual and Personal Learning Environments, 2021
This study explored students' perceptions of a flipped classroom for an introductory programming class. Students were required to watch video lectures and read lecture notes in advance (pre-class self-study) to prepare themselves for the in-class lectures and tutorials. A mix-methods approach was employed: quantitative survey (n=204) and…
Descriptors: Flipped Classroom, Learning Experience, Programming, Student Attitudes
Mecca, Giansalvatore; Santoro, Donatello; Sileno, Nazzareno; Veltri, Enzo – International Journal of Educational Technology in Higher Education, 2021
Computational thinking is the capacity of undertaking a problem-solving process in various disciplines (including STEM, i.e. science, technology, engineering and mathematics) using distinctive techniques that are typical of computer science. It is nowadays considered a fundamental skill for students and citizens, that has the potential to affect…
Descriptors: Mental Computation, Thinking Skills, Coding, Programming
Somyürek, Sibel; Brusilovsky, Peter; Çebi, Ayça; Akhüseyinoglu, Kamil; Güyer, Tolga – International Journal of Information and Learning Technology, 2021
Purpose: Interest is currently growing in open social learner modeling (OSLM), which means making peer models and a learner's own model visible to encourage users in e-learning. The purpose of this study is to examine students' views about the OSLM in an e-learning system. Design/methodology/approach: This case study was conducted with 40…
Descriptors: Student Attitudes, Self Evaluation (Individuals), Peer Evaluation, Electronic Learning
Malik, Sohail Iqbal; Tawafak, Ragad M.; Shakir, Mohanaad – International Journal of Information and Communication Technology Education, 2021
A teaching approach plays an important role in teaching and learning process of an introductory programming (IP) course. The teaching approach should focus on different programming skills required by novice programmers. In this study, we introduced the teaching and learning approach based on an ADRI (Approach, Deployment, Result, Improvement)…
Descriptors: Computer Science Education, Programming, Teaching Methods, Learning Processes
Çetinkaya-Rundel, Mine; Ellison, Victoria – Journal of Statistics and Data Science Education, 2021
The proliferation of vast quantities of available datasets that are large and complex in nature has challenged universities to keep up with the demand for graduates trained in both the statistical and the computational set of skills required to effectively plan, acquire, manage, analyze, and communicate the findings of such data. To keep up with…
Descriptors: Introductory Courses, Data Analysis, Statistics Education, Undergraduate Students
Corlatescu, Dragos-Georgian; Dascalu, Mihai; McNamara, Danielle S. – Grantee Submission, 2021
Reading comprehension is key to knowledge acquisition and to reinforcing memory for previous information. While reading, a mental representation is constructed in the reader's mind. The mental model comprises the words in the text, the relations between the words, and inferences linking to concepts in prior knowledge. The automated model of…
Descriptors: Reading Comprehension, Memory, Inferences, Syntax
Brandon Sepulvado; Jennifer Hamilton – Society for Research on Educational Effectiveness, 2021
Background: Traditional survey efforts to gather outcome data at scale have significant limitations, including cost, time, and respondent burden. This pilot study explored new and innovative large-scale methods of collecting and validating data from publicly available sources. Taking advantage of emerging data science techniques, we leverage…
Descriptors: Automation, Data Collection, Data Analysis, Validity
Valentine, Keri Duncan – Interdisciplinary Journal of Problem-based Learning, 2018
With an increased push to integrate coding and computational literacy in K-12 learning environments, teacher educators will need to consider ways they might support preservice teachers (PSTs). This paper details a tinkering approach used to engage PSTs in thinking computationally as they worked with geometric concepts they will be expected to…
Descriptors: Methods Courses, Mathematics Instruction, Teaching Methods, Educational Technology