Automatic Grading System to Supporting Blended Learning in Basic Programming Practice – an Experience Report
- DOI
- 10.2991/assehr.k.200521.020How to use a DOI?
- Keywords
- blended learning, automatic grading, teaching programming practice, feedback, assessment and evaluation
- Abstract
The problems in teaching programming are widely known. Research on teaching programming has been carried out both in theoretical and practical. Especially in the practical, the point emphasized that students must practice consistently and discipline. The problem is that not all programming tasks can be assessed because it takes too long. This situation will cause students to be apathetic or stop programming. An automatic grading (AG) in teaching programming practices is an alternative to overcome this problem. AG will check the assessment program directly. Integrating AG with the Learning Management System (LMS) helps teachers to evaluate. The use of AG in Blended Learning (BL) is implemented in five activities: profiling students, determining the material, designing questions, assessment-evaluation, and providing feedback. The effectiveness of BL can be seen in two ways: quantitative and qualitative. Quantitatively, students who do the exercise continuously and discipline, have right in skills and final evaluation results. Qualitatively more than 90% students state that they are enjoying the practice class, motivated to finish their tasks, and greatly helped. This article is an experience report of the use of AG in applying BL for teaching programming practices.
- Copyright
- © 2020, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Ani Rahmani AU - Joe Lian Min PY - 2020 DA - 2020/05/22 TI - Automatic Grading System to Supporting Blended Learning in Basic Programming Practice – an Experience Report BT - Proceedings of the International Conference on Online and Blended Learning 2019 (ICOBL 2019) PB - Atlantis Press SP - 96 EP - 101 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.200521.020 DO - 10.2991/assehr.k.200521.020 ID - Rahmani2020 ER -