TY  - CHAP
A1  - Steiner, Fabian
A1  - Lueger, Bernhard
A1  - Wallisch, Bernhard
A1  - Polzer, Thomas
T1  - Automated Evaluation System for Microcontroller Assignments
T2  - 2023 IEEE Global Engineering Education Conference (EDUCON), Kuwait
N2  - As IoT systems have increased the number of deployed embedded devices drastically and most of these devices are used in safety or security critical environments, the education of embedded software engineers is more important than ever. A critical part of their education is the development of their intuition for secure and safe software. In this paper 1 1 This research was funded by the city of Vienna (MA-23 call 21, project no. 9). we present an evaluation system used to generate fast and accurate feedback for student submission in, but not limited to, embedded software development courses. The system can be used as a first feedback loop to outline to the students where problems exist in their code and give them the opportunity to analyze and correct their errors. These extra steps ensure that the students can and will be notified early about their mistakes and can search for correct solutions, supporting the student's learning process. We present the implementation of the system and analyze its deployment in a microcontroller software development lecture. This analysis was done by means of surveys of the students and lecturers as well as a statistical analysis of the student submissions. The results show that the students made use of this extra features and even would prefer to have this feedback in other software development lectures as well.
KW  - Student-Centered Learning Environments
KW  - Virtual and Remote Labs and Classrooms
Y1  - 
SN  - 979-8-3503-9943-1
U6  - http://dx.doi.org/https://doi.org/10.1109/EDUCON54358.2023.10125112
SN  - 2165-9567
ER  -