NotesFAQContact Us
Collection
Advanced
Search Tips
Publication Date
In 20260
Since 20250
Since 2022 (last 5 years)0
Since 2017 (last 10 years)1
Since 2007 (last 20 years)1
Descriptor
Assignments1
Coding1
Computer Software1
Data Analysis1
Graduate Students1
Introductory Courses1
Problem Solving1
Programming Languages1
Seminars1
Statistics Education1
Teaching Methods1
Troubleshooting1
More ▼
Source
Journal of Statistics and…1
Author
Elmi, Angelo F.1
Hoffman, Heather J.1
Publication Type
Journal Articles1
Reports - Research1
Speeches/Meeting Papers1
Education Level
Higher Education1
Postsecondary Education1
Audience
Location
District of Columbia1
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing one result Save | Export
Do Students Learn More from Erroneous Code? Exploring Student Performance and Satisfaction in an Error-Free versus an Error-Full SAS® Programming Environment
Peer reviewed Peer reviewed
Direct linkDirect link
Hoffman, Heather J.; Elmi, Angelo F. – Journal of Statistics and Data Science Education, 2021
Teaching students statistical programming languages while simultaneously teaching them how to debug erroneous code is challenging. The traditional programming course focuses on error-free learning in class while students' experiences outside of class typically involve error-full learning. While error-free teaching consists of focused lectures…
Descriptors: Statistics Education, Programming Languages, Troubleshooting, Coding