TY - GEN
T1 - Web-based Course Assessment System of Student Learning Outcomes
T2 - 55th ACM Technical Symposium on Computer Science Education, SIGCSE 2024
AU - Ojeda, Daniel
AU - Morreale, Patricia
AU - Kwak, Daehan
N1 - Publisher Copyright:
© 2024 Owner/Author.
PY - 2024/3/14
Y1 - 2024/3/14
N2 - The assessment of student learning is essential, with instructors using end-of-course assessments against Course Objectives and Student Learning Objectives (SLOs), typically through assignments and exams against a predetermined benchmark. However, the reliance on outdated paper-based systems can delay crucial information access and lead to errors and inconsistencies in assessments. Therefore, a pilot study is underway to explore the benefits of transitioning from paper-based to electronic-based assessment systems. This shift aims to facilitate easier monitoring and more consistent tracking of course objectives, potentially enhancing the quality of courses and curriculum. All faculty-submitted assessment data is securely stored on a server, which supports the creation of an interactive data visualization tool. This tool is primarily designed to aid faculty in making informed decisions to better engage, motivate, and improve the learning experience for students. Moreover, the electronic system promises significant efficiency improvements by streamlining information retrieval and standardizing annual assessment processes.
AB - The assessment of student learning is essential, with instructors using end-of-course assessments against Course Objectives and Student Learning Objectives (SLOs), typically through assignments and exams against a predetermined benchmark. However, the reliance on outdated paper-based systems can delay crucial information access and lead to errors and inconsistencies in assessments. Therefore, a pilot study is underway to explore the benefits of transitioning from paper-based to electronic-based assessment systems. This shift aims to facilitate easier monitoring and more consistent tracking of course objectives, potentially enhancing the quality of courses and curriculum. All faculty-submitted assessment data is securely stored on a server, which supports the creation of an interactive data visualization tool. This tool is primarily designed to aid faculty in making informed decisions to better engage, motivate, and improve the learning experience for students. Moreover, the electronic system promises significant efficiency improvements by streamlining information retrieval and standardizing annual assessment processes.
KW - abet
KW - computer science education
KW - course assessment system
KW - student learning objectives
UR - http://www.scopus.com/inward/record.url?scp=85189152893&partnerID=8YFLogxK
U2 - 10.1145/3626253.3635587
DO - 10.1145/3626253.3635587
M3 - Conference contribution
AN - SCOPUS:85189152893
T3 - SIGCSE 2024 - Proceedings of the 55th ACM Technical Symposium on Computer Science Education
SP - 1770
EP - 1771
BT - SIGCSE 2024 - Proceedings of the 55th ACM Technical Symposium on Computer Science Education
PB - Association for Computing Machinery, Inc
Y2 - 20 March 2024 through 23 March 2024
ER -