Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 1 |
| Since 2016 (last 10 years) | 1 |
| Since 2006 (last 20 years) | 3 |
Descriptor
Author
| Basawapatna, Ashok Ram | 1 |
| Basu, Satabdi | 1 |
| Mavrikis, Manolis, Ed. | 1 |
| McLaren, Bruce M., Ed. | 1 |
| Pardos, Zachary, Ed. | 1 |
| Rutstein, Daisy W. | 1 |
| Shear, Linda | 1 |
| Stamper, John, Ed. | 1 |
| Wang, Haiwen | 1 |
| Xu, Yuning | 1 |
Publication Type
| Collected Works - Proceedings | 1 |
| Dissertations/Theses -… | 1 |
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
| Elementary Education | 3 |
| Grade 6 | 3 |
| Intermediate Grades | 3 |
| Middle Schools | 3 |
| Junior High Schools | 2 |
| Secondary Education | 2 |
| Grade 4 | 1 |
| Grade 5 | 1 |
| Grade 7 | 1 |
| Higher Education | 1 |
| Postsecondary Education | 1 |
| More ▼ | |
Audience
Laws, Policies, & Programs
Assessments and Surveys
| Program for International… | 1 |
What Works Clearinghouse Rating
Peer reviewed
Direct linkBasu, 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
Basawapatna, Ashok Ram – ProQuest LLC, 2012
Computational thinking aims to outline fundamental skills from computer science that everyone should learn. As currently defined, with help from the National Science Foundation (NSF), these skills include problem formulation, logically organizing data, automating solutions through algorithmic thinking, and representing data through abstraction.…
Descriptors: Computer Science Education, Computation, Thinking Skills, Logical Thinking
Download full textStamper, 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
