Issue |
MATEC Web Conf.
Volume 343, 2021
10th International Conference on Manufacturing Science and Education – MSE 2021
|
|
---|---|---|
Article Number | 11004 | |
Number of page(s) | 13 | |
Section | Academic Education and Management | |
DOI | https://doi.org/10.1051/matecconf/202134311004 | |
Published online | 04 August 2021 |
Learning and performance evaluation in distance higher education: a case study during the Covid-19 pandemic
1
University of Florence, Department of Education, Languages, Interculture, Literatures and Psychology, 48 Via Laura, Florence, Italy
2
University of Florence, Department of Education, Languages, Interculture, Literatures and Psychology, 48 Via Laura, Florence, Italy
The Covid-19 pandemic has caused disruption in students’ education and imposed numerous and unprecedented challenges on the educational systems all over the world turning the traditional learning processes into online distance education. The new context has raised the question of how to evaluate students’ learning and competences in distance education environments as effectively as possible. To maintain high quality standards of higher education, it is undoubtedly necessary to investigate through which tools the lecturers evaluate both the processes and the products of learning gained in online education. This study has been carried out at the University of Florence, with a sample of 60 lecturers, during the first period of pandemic. It has a twofold aim: (1) investigating lecturers’ beliefs on assessment and evaluation in distance higher education and (2) comparing online assessment techniques and tools with those used in face-toface classroom practices. The case study uses mixed methods and proposes data collected through an online questionnaire and semi-structured interviews analyzed with a quanti-qualitative approach. It pointed out the main problems the study group faced in evaluating students’ learning and performance in remote university education and suggested, at the same time, possible solutions to tackle learning and performance evaluation processes through alternative assessment methods.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.