Abstract
In this experience paper, we present ALAN, a framework to automate the generation of authentic assessment tasks in networking courses (NC). Using ALAN, all students in a cohort complete a set of assessment tasks generated from the same skeleton, with each student having their own parameters as input. The way we run ALAN assessments fosters students' self-regulation and peer learning and activates students' engagement in learning through assessment. We present three different ALAN assessments. We finally report on student perceptions and satisfaction and reflect on our experience.
| Original language | English |
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| Title of host publication | Proceedings of the 55th ACM Technical Symposium on Computer Science Education |
| Editors | Lina Battestilli, Samuel A. Rebelsky, Libby Shoop |
| Place of Publication | New York NY USA |
| Publisher | Association for Computing Machinery (ACM) |
| Pages | 853-859 |
| Number of pages | 7 |
| Volume | 1 |
| ISBN (Electronic) | 9798400704239 |
| DOIs | |
| Publication status | Published - 2024 |
| Event | ACM Technical Symposium on Computer Science Education (SIGCSE) 2024 - Portland, United States of America Duration: 20 Mar 2024 → 23 Mar 2024 Conference number: 55th https://dl.acm.org/doi/proceedings/10.1145/3626252 (Proceedings) https://sigcse2024.sigcse.org/ (Website) |
Conference
| Conference | ACM Technical Symposium on Computer Science Education (SIGCSE) 2024 |
|---|---|
| Abbreviated title | SIGCSE 2024 |
| Country/Territory | United States of America |
| City | Portland |
| Period | 20/03/24 → 23/03/24 |
| Internet address |
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Keywords
- assessment automation
- assessment-as-learning
- authentic