@inproceedings{fb2f28ca3bb347ba815f1065c6293acf,
title = "From Learning Styles to Multiple Modalities in the Teaching of Computer and Information Literacy to First Year Students from Diverse Backgrounds",
abstract = "The University of Pretoria presents an introductory computer and information literacy course to large groups of first-year students. This course was born from the pressure that all students should be computer literate and information literate to diminish the digital divide inequalities. The students come from very diverse socio-economic backgrounds with very different foundational knowledge. Current research shows that an effective way to teach such disparate groups is to match the diversity of students with a variety of instructional modalities. This research reports on the findings from a survey completed by 1 289 computer and information literacy students, to determine if specific students prefer specific learning styles or prefer distinct learning styles for certain curriculum sections. The results reveal that learning styles differ significantly across content areas in digital and information literacy education, such as theory and practicals. In addition, in general, students prefer a variety of different learning styles, which points towards the use of multiple modalities in teaching instead of focusing on individual students{\textquoteright} learning styles.",
keywords = "Diverse backgrounds, Information and computer literacy, Learning styles, Multiple modalities",
author = "Pariksha Singh and Tania Prinsloo and Machdel Matthee",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; International Conference on Digital Science, DSIC 2021 ; Conference date: 15-10-2021 Through 17-10-2021",
year = "2022",
doi = "10.1007/978-3-030-93677-8_9",
language = "English",
isbn = "9783030936761",
series = "Lecture Notes in Networks and Systems",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "95--106",
editor = "Tatiana Antipova",
booktitle = "Digital Science - DSIC 2021",
address = "Germany",
}