Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 3 |
Descriptor
Coding | 3 |
Programming | 3 |
Regression (Statistics) | 3 |
Academic Achievement | 2 |
Artificial Intelligence | 2 |
Automation | 2 |
Computer Software | 2 |
Data Analysis | 2 |
Learning Processes | 2 |
Predictive Measurement | 2 |
Predictive Validity | 2 |
More ▼ |
Author
Blikstein, Paulo | 1 |
Calders, Toon | 1 |
Chen Zhong | 1 |
Conati, Cristina | 1 |
Cooper, Steven | 1 |
J. B. Kim | 1 |
Koller, Daphne | 1 |
Pechenizkiy, Mykola | 1 |
Piech, Chris | 1 |
Romero, Cristobal | 1 |
Sahami, Mehran | 1 |
More ▼ |
Publication Type
Journal Articles | 2 |
Reports - Research | 2 |
Collected Works - Proceedings | 1 |
Education Level
Higher Education | 3 |
Postsecondary Education | 2 |
Audience
Location
Netherlands | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Chen Zhong; J. B. Kim – Journal of Information Systems Education, 2024
Data Analytics has emerged as an essential skill for business students, and several tools are available to support their learning in this area. Due to the students' lack of programming skills and the perceived complexity of R, many business analytics courses employ no-code analytical software like IBM SPSS Modeler. Nonetheless, generative…
Descriptors: Business Education, Regression (Statistics), Programming, Artificial Intelligence
Blikstein, Paulo; Worsley, Marcelo; Piech, Chris; Sahami, Mehran; Cooper, Steven; Koller, Daphne – Journal of the Learning Sciences, 2014
New high-frequency, automated data collection and analysis algorithms could offer new insights into complex learning processes, especially for tasks in which students have opportunities to generate unique open-ended artifacts such as computer programs. These approaches should be particularly useful because the need for scalable project-based and…
Descriptors: Programming, Computer Science Education, Learning Processes, Introductory Courses
Pechenizkiy, Mykola; Calders, Toon; Conati, Cristina; Ventura, Sebastian; Romero, Cristobal; Stamper, John – International Working Group on Educational Data Mining, 2011
The 4th International Conference on Educational Data Mining (EDM 2011) brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large datasets to answer educational research questions. The conference, held in Eindhoven, The Netherlands, July 6-9, 2011, follows the three previous editions…
Descriptors: Academic Achievement, Logical Thinking, Profiles, Tutoring