Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 2 |
| Since 2016 (last 10 years) | 3 |
| Since 2006 (last 20 years) | 6 |
Descriptor
| Programming | 6 |
| Student Evaluation | 6 |
| Cooperative Learning | 4 |
| Foreign Countries | 4 |
| Thinking Skills | 4 |
| Computer Science Education | 3 |
| Data Analysis | 3 |
| Data Collection | 3 |
| Graphs | 3 |
| Online Courses | 3 |
| Problem Solving | 3 |
| More ▼ | |
Source
| International Educational… | 2 |
| Computer Science Education | 1 |
| International Journal of… | 1 |
| Lecture Notes in Educational… | 1 |
| Online Submission | 1 |
Author
| Basu, Satabdi | 1 |
| Berland, Matthew | 1 |
| Davis, Don | 1 |
| Desmarais, Michel, Ed. | 1 |
| Di Wu Ed. | 1 |
| Haijun Zeng Ed. | 1 |
| Jiahao Liu Ed. | 1 |
| Lijie Yue Ed. | 1 |
| Lynch, Collin F., Ed. | 1 |
| Marshall, Krista Sekeres | 1 |
| Mavrikis, Manolis, Ed. | 1 |
| More ▼ | |
Publication Type
| Collected Works - Proceedings | 2 |
| Journal Articles | 2 |
| Reports - Research | 2 |
| Books | 1 |
| Collected Works - General | 1 |
| Reports - Evaluative | 1 |
| Speeches/Meeting Papers | 1 |
Education Level
Audience
Laws, Policies, & Programs
Assessments and Surveys
| Program for International… | 1 |
What Works Clearinghouse Rating
Peer reviewed
Direct linkHaijun Zeng Ed.; Jiahao Liu Ed.; Di Wu Ed.; Lijie Yue Ed. – Lecture Notes in Educational Technology, 2023
This book presents 28 practical case studies in detail and 49 case studies in brief. The collection of these case studies focuses on one or more aspects of exploration and practice on the following topics: smart campus and smart classroom, resource construction and sharing, new teaching mode, comprehensive quality evaluation of students, teacher…
Descriptors: Foreign Countries, Best Practices, Educational Technology, Technology Uses in Education
Basu, Satabdi; Rutstein, Daisy W.; Xu, Yuning; Wang, Haiwen; Shear, Linda – Computer Science Education, 2021
Background and Context: In today's increasingly digital world, it is critical that all students learn to think computationally from an early age. Assessments of Computational Thinking (CT) are essential for capturing information about student learning and challenges. When programming is used as a vehicle to foster CT skills, assessment of CT…
Descriptors: Computer Science Education, Programming, Thinking Skills, Logical Thinking
Berland, Matthew; Davis, Don; Smith, Carmen Petrick – International Journal of Computer-Supported Collaborative Learning, 2015
AMOEBA is a unique tool to support teachers' orchestration of collaboration among novice programmers in a non-traditional programming environment. The AMOEBA tool was designed and utilized to facilitate collaboration in a classroom setting in real time among novice middle school and high school programmers utilizing the IPRO programming…
Descriptors: Computer Science Education, Active Learning, Programming, Novices
Download full textMarshall, Krista Sekeres – Online Submission, 2011
The purpose of this study was to evaluate student understanding and application of computational thinking patterns to novel situations. Over 500 students, who had just designed and programmed a Frogger-style game using the AgentSheets platform, responded to a newly developed video-prompt survey instrument administered in the Fall 2010 semester.…
Descriptors: Video Technology, Grounded Theory, Thinking Skills, Games
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection
