TY - GEN
T1 - Evaluating Mastery-oriented Grading in an Intensive CS1 Course
AU - Montagner, Igor Dos Santos
AU - Ferrão, Rafael Corsi
AU - Kurauchi, Andrew
AU - Silva, Mariana
AU - Zilles, Craig
N1 - Publisher Copyright:
© 2024 ACM.
PY - 2024/3/7
Y1 - 2024/3/7
N2 - Allowing students to re-attempt assessments has been shown to be effective in traditional university-level courses in improving student mastery of course content. In this paper, we analyse an intensive programming introductory experience, where first semester university students' full load is a single semester-long course that teaches the basics of programming and software engineering. We study its use of mastery-based grading: offering five (formative) low-stakes quizzes (with retakes), each focused on a single topic, and five (summative) higher-stakes exams that assess all learning objectives. Our research questions are: (i) ''Do second chances help students to increase their performance over time in intensive courses?''; and (ii) ''Are second chances effective in reducing stress/mental load/weight of assessments in intensive courses?''. We find that (i) offering second chances on quizzes decreases the number of students at risk of failing before the first exam; (ii) students' proficiency in coding tasks (as measured by exam grades) improve during the semester; and (iii) that our schedule reduces anxiety and mental load for students, but only after students take the first chance.
AB - Allowing students to re-attempt assessments has been shown to be effective in traditional university-level courses in improving student mastery of course content. In this paper, we analyse an intensive programming introductory experience, where first semester university students' full load is a single semester-long course that teaches the basics of programming and software engineering. We study its use of mastery-based grading: offering five (formative) low-stakes quizzes (with retakes), each focused on a single topic, and five (summative) higher-stakes exams that assess all learning objectives. Our research questions are: (i) ''Do second chances help students to increase their performance over time in intensive courses?''; and (ii) ''Are second chances effective in reducing stress/mental load/weight of assessments in intensive courses?''. We find that (i) offering second chances on quizzes decreases the number of students at risk of failing before the first exam; (ii) students' proficiency in coding tasks (as measured by exam grades) improve during the semester; and (iii) that our schedule reduces anxiety and mental load for students, but only after students take the first chance.
KW - assessment
KW - computer-based exams
KW - computing education
KW - mastery
KW - second chance testing
UR - http://www.scopus.com/inward/record.url?scp=85189336522&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85189336522&partnerID=8YFLogxK
U2 - 10.1145/3626252.3630841
DO - 10.1145/3626252.3630841
M3 - Conference contribution
AN - SCOPUS:85189336522
T3 - SIGCSE 2024 - Proceedings of the 55th ACM Technical Symposium on Computer Science Education
SP - 303
EP - 309
BT - SIGCSE 2024 - Proceedings of the 55th ACM Technical Symposium on Computer Science Education
PB - Association for Computing Machinery
T2 - 55th ACM Technical Symposium on Computer Science Education, SIGCSE 2024
Y2 - 20 March 2024 through 23 March 2024
ER -