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Angeli, Charoula M.; Jaipal-Jamani, Kamini – AERA Online Paper Repository, 2017
In an era where computational thinking is regarded as a basic skill for the 21st century that needs to be taught across the K-12 curriculum, research shows that teacher education programs do not adequately prepare preservice teachers to promote computational thinking skills in classroom teaching. Accordingly, the present study contributes to the…
Descriptors: Scaffolding (Teaching Technique), Programming, Robotics, Preservice Teachers
Muradoglu, Bahar; Yigit, Nevzat; Güven, Ebru Mazlum – Journal of Science Learning, 2022
As innovation has gained importance worldwide, educating students as individuals with innovative qualities has become imperative. Therefore, identifying students' perceptions of innovativeness in science lessons has become an issue of concern. The aim of this study was to determine secondary school students' perceptions of innovativeness. The…
Descriptors: Science Education, Educational Innovation, Secondary School Students, Student Attitudes
Rodrigues, Luiz; Pereira, Filipe D.; Toda, Armando M.; Palomino, Paula T.; Pessoa, Marcela; Carvalho, Leandro Silva Galvão; Fernandes, David; Oliveira, Elaine H. T.; Cristea, Alexandra I.; Isotani, Seiji – International Journal of Educational Technology in Higher Education, 2022
There are many claims that gamification (i.e., using game elements outside games) impact decreases over time (i.e., the novelty effect). Most studies analyzing this effect focused on extrinsic game elements, while fictional and collaborative competition have been recently recommended. Additionally, to the best of our knowledge, no long-term…
Descriptors: Game Based Learning, Novelty (Stimulus Dimension), Familiarity, Learning Processes
LópezLeiva, Carlos A.; Noriega, Gabino; Celedón-Pattichis, Sylvia; Pattichis, Marios S. – Teachers College Record, 2022
Background/Context: Computer programming is rarely accessible to K-12 students, especially for those from culturally and linguistically diverse backgrounds. Middle school age is a transitioning time when adolescents are more likely to make long-term decisions regarding their academic choices and interests. Having access to productive and positive…
Descriptors: Hispanic American Students, Student Experience, Mathematics Education, Programming
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
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
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