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Kalelioglu, Filiz; Sentance, Sue – Education and Information Technologies, 2020
Many physical devices supporting the learning of programming and digital making are now available which have the potential to make learning fun, accessible and creative for children and young adults. The advent of this new technology necessitates research to inform pedagogical approaches that work in the classroom. We carried out a study which…
Descriptors: Teaching Methods, Programming, Teaching Experience, Cooperative Learning
Albert, Jim; Hu, Jingchen – Journal of Statistics Education, 2020
Bayesian statistics has gained great momentum since the computational developments of the 1990s. Gradually, advances in Bayesian methodology and software have made Bayesian techniques much more accessible to applied statisticians and, in turn, have potentially transformed Bayesian education at the undergraduate level. This article provides an…
Descriptors: Bayesian Statistics, Computation, Statistics Education, Undergraduate Students
Siegle, Del – Gifted Child Today, 2020
The Thunkable online platform is an easy-to-use resource for creating apps for mobile devices. Computational thinking is at the heart of problem solving in computer science, and research suggests students' computational thinking improves when they use simple block coding systems similar to the format used for Thunkable.
Descriptors: Gifted Education, Academically Gifted, Technology Uses in Education, Computer Oriented Programs
Alves, Francisco Regis Vieira; Machado Vieira, Renata Passos – International Electronic Journal of Mathematics Education, 2020
The work deals with the study of the roots of the characteristic polynomial derived from the Leonardo sequence, using the Newton fractal to perform a root search. Thus, Google Colab is used as a computational tool to facilitate this process. Initially, we conducted a study of the Leonardo sequence, addressing it fundamental recurrence,…
Descriptors: Mathematical Concepts, Teaching Methods, Visualization, Educational Technology
Dickes, Amanda Catherine; Farris, Amy Voss; Sengupta, Pratim – Journal of Science Education and Technology, 2020
In recent years, the field of education has challenged researchers and practitioners to incorporate computing as an essential focus of K-12 STEM education. Integrating computing within K-12 STEM supports learners of all ages in codeveloping and using computational thinking in existing curricular contexts alongside practices essential for…
Descriptors: Elementary School Science, Coding, STEM Education, Computer Science Education
Ho, Chun-Heng; Zhang, Hang-qin; Li, Juan; Zhang, Min-quan – International Journal of Distance Education Technologies, 2023
Digital education has recently become a mainstream education model. Despite digital education's increasing popularity, there remain issues when it comes to teacher-student interactions in digital space, which have made it impossible for this model to achieve the same teaching quality as traditional in-person education. Compared with other academic…
Descriptors: Technology Uses in Education, Electronic Learning, Teacher Student Relationship, Interaction
Madda, Mary Josephina – ProQuest LLC, 2023
This dissertation aimed to address existing research gaps in the understanding of "tech social capital" amongst Black and Latino/Hispanic high school students in afterschool computer science education programs. The research employed an exploratory mixed methods approach, with afterschool high school coding program Code Next as its sample…
Descriptors: Social Capital, High School Students, Hispanic American Students, African American Students
Espinal, Alejandro; Vieira, Camilo; Guerrero-Bequis, Valeria – Computer Science Education, 2023
Background and context: Transfer is a process where students apply their learning to different contexts. This process includes using their knowledge to solve problems with similar complexity, and in new contexts. In the context of programming, transfer also includes being able to understand and use different programming languages. Objective: This…
Descriptors: Block Scheduling, Computer Science Education, Programming Languages, Coding
Balaji Kalluri; Prajish Prasad; Prakrati Sharma; Divyaansh Chippa – IEEE Transactions on Education, 2024
Contribution: This article proposes a new theoretical model with a goal to develop future human computational thinking (CT) in foundational computer science (CS) education. The model blends six critical types of thinking, i.e., logical thinking, systems thinking, sustainable thinking, strategic thinking, creative thinking, and responsible thinking…
Descriptors: Computation, Thinking Skills, Computer Science Education, Critical Thinking
Fang, Jian-Wen; Shao, Dan; Hwang, Gwo-Jen; Chang, Shao-Chen – Journal of Educational Computing Research, 2022
Scholars believe that computational thinking is one of the essential competencies of the 21st century and computer programming courses have been recognized as a potential means of fostering students' computational thinking. In tradition instruction, PFCT (problem identification, flow definition, coding, and testing) is a commonly adopted procedure…
Descriptors: Computation, Thinking Skills, Programming, Computer Science Education
Chung, Cheng-Yu; Awad, Nayif; Hsiao, I-Han – Australasian Journal of Educational Technology, 2021
Although numerous studies have demonstrated different ways that augmented reality (AR) can assist students to understand the learning content via contextualised visualisation, less explored is its effect on collaborative problem-solving (CPS) in computer programming. This study aims to investigate how AR affects a CPS in a programming task. We…
Descriptors: Problem Solving, Problem Based Learning, Cooperative Learning, Computer Simulation
Nichols, T. Philip; Edgerton, Adam Kirk; Desimone, Laura M. – American Journal of Education, 2021
Purpose: As the federal government has retreated from taking a dominant role in encouraging implementation of common K-12 standards, states and districts have moved to fill this education policy vacuum. This study aims to understand how state and district leaders are navigating this new policy environment. Research Methods/Approach: Drawing upon…
Descriptors: State Standards, Academic Standards, Program Implementation, Educational Legislation
Clauhs, Matthew – Music Educators Journal, 2021
Recognizing that music teachers may struggle to implement songwriting activities in a classroom, and that iconic notation provides an opportunity to increase access to school music for all students, the purpose of this article is to share one model of songwriting activities in a music technology class using chord diagrams, beat grids, and keyboard…
Descriptors: Music Education, Music Techniques, Music Activities, Musical Instruments
Barnett, Ellen; Pérez, Karina Méndez; Delgado, Rocío – Science and Children, 2021
The United States is home to a culturally and linguistically diverse population of young children. In 2017, 10% of U.S. learners came from homes where languages other than English are spoken. Students who are learning English in addition to their native language(s) have the opportunity to become bilingual or multilingual in school. Thus, rather…
Descriptors: Student Diversity, English Language Learners, Bilingual Students, Multilingualism
Jescovitch, Lauren N.; Scott, Emily E.; Cerchiara, Jack A.; Merrill, John; Urban-Lurain, Mark; Doherty, Jennifer H.; Haudek, Kevin C. – Journal of Science Education and Technology, 2021
We systematically compared two coding approaches to generate training datasets for machine learning (ML): (1) a holistic approach based on learning progression levels; and (2) a dichotomous, analytic approach of multiple concepts in student reasoning, deconstructed from holistic rubrics. We evaluated four constructed response assessment items for…
Descriptors: Science Instruction, Coding, Artificial Intelligence, Man Machine Systems

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