Publication Date
| In 2026 | 0 |
| Since 2025 | 2 |
| Since 2022 (last 5 years) | 23 |
| Since 2017 (last 10 years) | 87 |
Descriptor
Source
Author
| Taylor, Matthew S. | 2 |
| Abrahamson, Dor | 1 |
| Agesilaou, Andria | 1 |
| Agirbas, Asli | 1 |
| Akanbi, Temitope | 1 |
| Aksu, Fatma Nur | 1 |
| Al Mahmud, Abdullah | 1 |
| Alves, Nathalia Cruz | 1 |
| Anderson, Roger | 1 |
| Andoh-Arthur, Johnny | 1 |
| Asaad, Diana | 1 |
| More ▼ | |
Publication Type
Education Level
Audience
| Practitioners | 1 |
| Students | 1 |
| Teachers | 1 |
Location
| Turkey | 5 |
| Australia | 3 |
| Thailand | 3 |
| Brazil | 2 |
| California | 2 |
| Finland | 2 |
| Japan | 2 |
| New Zealand | 2 |
| Pakistan | 2 |
| Portugal | 2 |
| Spain | 2 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
| International English… | 1 |
| Keymath Diagnostic Arithmetic… | 1 |
| Motivated Strategies for… | 1 |
| Woodcock Johnson Tests of… | 1 |
What Works Clearinghouse Rating
Shi, Yang; Chi, Min; Barnes, Tiffany; Price, Thomas W. – International Educational Data Mining Society, 2022
Knowledge tracing (KT) models are a popular approach for predicting students' future performance at practice problems using their prior attempts. Though many innovations have been made in KT, most models including the state-of-the-art Deep KT (DKT) mainly leverage each student's response either as correct or incorrect, ignoring its content. In…
Descriptors: Programming, Knowledge Level, Prediction, Instructional Innovation
Yichun Miriam Liu; Eunice Kim; Greg M. Allenby – Marketing Education Review, 2025
We discuss our experience in teaching data analytics, and in particular prescriptive analytics, to students in business schools using an inter-coherent case study, where a managerial decision is decomposed into a series of research problems with interlocking analyses and the outcome of one analysis is the input of other analysis. Students who…
Descriptors: Business Schools, Computer Software, Marketing, Programming
Wang, Jianlan; Zhang, Yuanlin; Jones, Arthur; Eckel, Rory; Hawkins, Joshua; Musslewhite, Darrel – Journal of Computers in Mathematics and Science Teaching, 2022
Despite the importance of computer science education and computational thinking, there have been limited examples of computer science education at K-12 classrooms that authentically represents the work of computer scientists, especially programming. One reason is the lack of a measurable definition of computational thinking and a programming…
Descriptors: Teaching Methods, Computer Science Education, Programming, Thinking Skills
Cheers, Hayden; Lin, Yuqing; Yan, Weigen – Informatics in Education, 2023
Source code plagiarism is a common occurrence in undergraduate computer science education. Many source code plagiarism detection tools have been proposed to address this problem. However, most of these tools only measure the similarity between assignment submissions, and do not actually identify which are suspicious of plagiarism. This work…
Descriptors: Plagiarism, Assignments, Computer Software, Computer Science Education
Gamze Kurt; Özge Çakioglu – Digital Experiences in Mathematics Education, 2024
This study aims to investigate students' computational thinking (CT) through mathematical tasks integrated with programming in Scratch. Participants completed four tasks that required students to solve coding problems, which were focused on prime numbers and the prime factorization algorithm. The study was designed as a case study and the unit of…
Descriptors: Grade 7, Case Studies, Mathematics Education, Mathematical Concepts
Lindgren, Chris Aaron – Written Communication, 2021
Coding has typically been understood as an engineering practice, where the meaning of code has discrete boundaries as a technology that does precisely what it says. Multidisciplinary code studies reframed this technological perspective by positing code as the latest form of writing, where code's meaning is always partial and dependent on…
Descriptors: Coding, Data Processing, Data Analysis, Programming
Petrie, Christopher – Computer Science Education, 2022
Background and Context: Computational Thinking (CT) has been recently integrated into new and revised Digital Technologies content (DTC) in the Technology learning area of the New Zealand School Curriculum. Objective: To aid this change, this research examined how CT supports learning outcomes in both music and programming with the Sonic Pi…
Descriptors: Interdisciplinary Approach, Outcomes of Education, Computer Science Education, Programming
Esche, Svana; Weihe, Karsten – IEEE Transactions on Education, 2023
Contribution: Most work on languages in computing education currently focuses on non-native speakers. In contrast, to the best of the authors' knowledge, this article is the first response to the call for research on terms that takes into account the terms used by novices in their language. Background: Terms are key factors in communication,…
Descriptors: Programming Languages, Computer Science Education, Misconceptions, Undergraduate Students
Endler Marcel Borges – Journal of Chemical Education, 2023
An understanding of statistical concepts is necessary for a chemist with a complete education. Here, statistical tests were taught using the R Commander and the Factoshiny packages. These packages run on R software and have a graphical user interface (GUI), which allows students to do statistical tests quickly and easily. These packages were…
Descriptors: Statistics Education, Programming Languages, Chemistry, Science Instruction
Healy, Molly B. – Journal for Leadership and Instruction, 2023
With a runtime of 47 years, Saturday Night Live has long served as a societal mirror that captures and creates popular culture. In recent years the show has been criticized for its lack of diverse hosts, cast and staff. Out of 930 episodes only seven episodes have been hosted by an Asian host, four of whom identify as Chinese. This research…
Descriptors: Case Studies, Programming (Broadcast), Television, Chinese Americans
Lasser, Jana; Manik, Debsankha; Silbersdorff, Alexander; Säfken, Benjamin; Kneib, Thomas – Teaching Statistics: An International Journal for Teachers, 2021
Data and its applications are increasingly ubiquitous in the rapidly digitizing world and consequently, students across different disciplines face increasing demand to develop skills to answer both academia's and businesses' increasing need to collect, manage, evaluate, apply and extract knowledge from data and critically reflect upon the derived…
Descriptors: Introductory Courses, Data, Interdisciplinary Approach, Programming Languages
Reis, Rosa; Marques, Bertil P. – International Association for Development of the Information Society, 2021
In this paper we present a model for designing professional courses in a blended learning context as a tool to help the interaction between students, teachers and learning resources. This model aims to promote new concepts, new approaches and new strategies that have been changing the paradigm of teaching and learning. To develop a course based on…
Descriptors: Programming, Instructional Design, Computer Science Education, Case Studies
Yang, Fan; Akanbi, Temitope; Chong, Oscar Wong; Zhang, Jiansong; Debs, Luciana; Chen, Yunfeng; Hubbard, Bryan J. – Journal of Civil Engineering Education, 2024
Computing technology is reshaping the way in which professionals in the architecture, engineering, and construction industries conduct their business. The execution of construction tasks is changing from traditional 2D to 3D building information modeling (BIM)-based concepts. The use of BIM is expanded and enriched by the introduction of advanced…
Descriptors: Civil Engineering, Engineering Education, Programming Languages, Construction Management
Kim, ChanMin; Dinç, Emre; Lee, Eunseo; Baabdullah, Afaf; Zhang, Anna Y.; Belland, Brian R. – Journal of Educational Computing Research, 2023
Analogical reasoning is considered to be a critical cognitive skill in programming. However, it has been rarely studied in a block-based programming context, especially involving both virtual and physical objects. In this multi-case study, we examined how novice programming learners majoring in early childhood education used analogical reasoning…
Descriptors: Robotics, Programming, Novices, Thinking Skills
Niwat Srisawasdi; Tawinan Jan-in; Banjong Prasongsup; Patcharin Panjaburee – Journal of Chemical Education, 2025
Real-world applications can be potent tools in chemistry teaching, fostering highly beneficial learning for students. By involving students in real-world phenomena, we not only alter their perceptions of chemistry but also cultivate crucial chemistry competencies, preparing them for the future as scientists and citizens. In this report, we…
Descriptors: Foreign Countries, Science Education, Chemistry, Grade 4

Peer reviewed
Direct link
