Supplementary material for the article "Scaling Student Feedback in Software Engineering Massive Open Online Courses"

This dataset contains the data related to the article "Scaling Student Feedback in Software Engineering Massive Open Online Courses" with DOI 10.1109/MS.2023.3275035.

This dataset contains data about the students' perceptions and usage of an automated assessment tool (MOOCauto) for obtaining formative feedback in software engineering assignments that are part of a MOOC specialization at Universidad Politécnica de Madrid (Spain) delivered by the MiriadaX platform.

This dataset contains two files:

1) moocauto_logs.csv. This file contains 9,108 anonymized logs of students' use of the automated assessment tool in the MOOC specialization assignments. The columns of this file are as follows:
* MOOCId: Unique numeric identifier for the MOOC (1-4).
* MOOC: Name of the MOOC, which can be "Frontend Development", "Backend Development", "Git & Github" or "Fullstack Development".
*AssignmentName: Name of the assignment.
*AssignmentId: Unique identifier for each assignment (1-17).
*user: Unique identifier of the student (it varies per assignment).
*timestamp: Time in which the assessment was performed.
*score: Score obtained (0-10).

2) moocauto_questionnaire.csv. This file contains 213 students' responses to the questionnaire conducted at the end of each MOOC in order to evaluate their opinion of the tool and perception on usefulness, ease of use, and other aspects related to the Technology Acceptance Model (TAM).

Additional details are provided in the aforementioned article, which can be openly accessed at https://www.doi.org/10.1109/MS.2023.3275035.