Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 2 |
| Since 2017 (last 10 years) | 3 |
| Since 2007 (last 20 years) | 5 |
Descriptor
| Computer Software | 7 |
| Error Patterns | 7 |
| Graphs | 7 |
| Mathematics Instruction | 5 |
| Classification | 4 |
| Data Analysis | 4 |
| Comparative Analysis | 3 |
| Data Collection | 3 |
| Feedback (Response) | 3 |
| Foreign Countries | 3 |
| Intelligent Tutoring Systems | 3 |
| More ▼ | |
Source
| International Educational… | 3 |
| Classroom Computer Learning | 1 |
| Education and Information… | 1 |
| Journal of Mathematical… | 1 |
| Research Synthesis Methods | 1 |
Author
Publication Type
| Journal Articles | 4 |
| Collected Works - Proceedings | 2 |
| Guides - Classroom - Teacher | 2 |
| Non-Print Media | 2 |
| Reports - Research | 2 |
| Reports - Descriptive | 1 |
| Speeches/Meeting Papers | 1 |
Education Level
Audience
| Practitioners | 1 |
| Teachers | 1 |
Location
| Brazil | 1 |
| Czech Republic | 1 |
| Finland | 1 |
| France | 1 |
Laws, Policies, & Programs
Assessments and Surveys
| Program for International… | 1 |
What Works Clearinghouse Rating
Direct linkTurner, Simon Lee; Korevaar, Elizabeth; Cumpston, Miranda S.; Kanukula, Raju; Forbes, Andrew B.; McKenzie, Joanne E. – Research Synthesis Methods, 2023
Interrupted time series (ITS) studies are frequently used to examine the impact of population-level interventions or exposures. Systematic reviews with meta-analyses including ITS designs may inform public health and policy decision-making. Re-analysis of ITS may be required for inclusion in meta-analysis. While publications of ITS rarely provide…
Descriptors: Quasiexperimental Design, Graphs, Accuracy, Computation
Guozhu Ding; Xiangyi Shi; Shan Li – Education and Information Technologies, 2024
In this study, we developed a classification system of programming errors based on the historical data of 680,540 programming records collected on the Online Judge platform. The classification system described six types of programming errors (i.e., syntax, logical, type, writing, misunderstanding, and runtime errors) and their connections with…
Descriptors: Programming, Computer Science Education, Classification, Graphs
Download full textPelánek, Radek; Rihák, Ji?rí – International Educational Data Mining Society, 2016
In online educational systems we can easily collect and analyze extensive data about student learning. Current practice, however, focuses only on some aspects of these data, particularly on correctness of students answers. When a student answers incorrectly, the submitted wrong answer can give us valuable information. We provide an overview of…
Descriptors: Foreign Countries, Online Systems, Geography, Anatomy
Barclay, Tim – Classroom Computer Learning, 1987
The use of the microcomputer in an interactive graphics mode offers exciting possibilities for mathematics and science education. Errors made with graphs are used to introduce ideas of what should be taught. Both understanding equations and graphing utilities are stressed. (MNS)
Descriptors: Computer Graphics, Computer Software, Equations (Mathematics), Error Patterns
Peer reviewedGoldenberg, E. Paul – Journal of Mathematical Behavior, 1988
Computer software with graphic representations of functions can teach algebraic concepts, or can blur or obscure concepts of great importance. Making good use and bad use of visual imagery are each discussed. Then a general theory of interpretation of graphs is proposed, and a list of examples is presented. (MNS)
Descriptors: Algebra, Computer Oriented Programs, Computer Software, Educational Theories
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
