DIGITAL LIBRARY
ASSESSMENTS IN E-LEARNING ENVIRONMENTS
Universidad Nacional Autónoma de Mexico (MEXICO)
About this paper:
Appears in: ICERI2022 Proceedings
Publication year: 2022
Pages: 1215-1220
ISBN: 978-84-09-45476-1
ISSN: 2340-1095
doi: 10.21125/iceri.2022.0323
Conference name: 15th annual International Conference of Education, Research and Innovation
Dates: 7-9 November, 2022
Location: Seville, Spain
Abstract:
This work summarizes the experience with an automatic generation and evaluation system of personalized exams for each student, based on exercises in LaTeX format (a language that facilitates the application of formatting to a text) that include R code for the dynamic generation of exercises. Which presents the student with fully customizable exams, so they solve totally different exams. Each exercise is a single file in Sweave format (.Rnw) interlaced with R code to generate the data and LaTeX code to describe the question and the solution [1]. Through this file (.Rnw) N number of unique exercises are produced with particular data for each exercise. In this way, the intention of dishonesty that students may have when taking the exam at home is controlled. The sample is made up of students from the Bachelor of Industrial Engineering and the Bachelor of Mechanical Electrical Engineering who are studying (both) the subject of Probability and Statistics at the Cuautilan Faculty of Higher Studies. As a conclusion for this group, a clear difference in the levels of the grades obtained by the same group before and after the automated personalized evaluation system can be observed through the students' grades.
Keywords:
Moodle, LaTeX, Code R.