@inproceedings{2e0a8f39043f4749b109145b4a8a017d,
title = "Encouraging Grading: Per Aspera Ad A-Stars",
abstract = "The surge in computer science student enrollment in Data Structures and Algorithm course necessitates flexible teaching strategies, accommodating both struggling and proficient learners. This study examines the shift from manual grading to auto-graded and peer-reviewed assessments, investigating student preferences and their impact on growth and improvement. Utilizing data from Plussa LMS and GitLab, auto-graders allow iterative submissions and quick feedback. Initially met with skepticism, peer-review gained acceptance, offering valuable exercises for reviewers and alternative solutions for reviewees. Auto-grading became the favored approach due to its swift feedback, facilitating iterative improvement. Furthermore, students expressed a preference for a substantial number of submissions, with the most frequently suggested count being 50 submissions. Manual grading, while supported due to its personal feedback, was considered impractical given the course scale. Auto-graders like unit-tests, integration tests, and perftests were well-received, with perftests and visualizations aligning with efficient code learning goals. In conclusion, used methods, such as auto-grading and peer-review, cater to diverse proficiency levels. These approaches encourage ongoing refinement, deepening engagement with challenging subjects, and fostering a growth mindset.",
keywords = "Assessment and feedback, Automatic grading, Flipped learning, Growth mindset, Leaderboards, Learning analytics, Learning management system, Manual grading, Next-generation learning environment, Peer-reviews, The theory of formative assessment",
author = "Pia Niemel{\"a} and Jenni Hukkanen and Mikko Nurminen and Jukka Huhtam{\"a}ki",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.; International Conference on Computer Supported Education, CSEDU ; Conference date: 21-04-2023 Through 23-04-2023",
year = "2024",
doi = "10.1007/978-3-031-53656-4_2",
language = "English",
isbn = "978-3-031-53655-7",
series = "Communications in Computer and Information Science",
publisher = "Springer, Cham",
pages = "23--46",
editor = "McLaren, {Bruce M.} and James Uhomoibhi and Jelena Jovanovic and Irene-Angelica Chounta",
booktitle = "Computer Supported Education",
}