Multi-Mode Digital Teaching and Learning of Human-Computer Interaction (HCI) Using the VARK Model during COVID-19

Autor/inn/en	Pérez-Marín, Diana; Paredes-Velasco, Maximiliano; Pizarro, Celeste
Titel	Multi-Mode Digital Teaching and Learning of Human-Computer Interaction (HCI) Using the VARK Model during COVID-19
Quelle	In: Educational Technology & Society, 25 (2022) 1, S.78-91 (14 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1436-4522
Schlagwörter	Instructional Effectiveness; Educational Technology; Technology Uses in Education; Videoconferencing; Student Satisfaction; Man Machine Systems; Interaction; Online Courses; COVID-19; Pandemics; School Closing; Learning Modalities; Foreign Countries; College Students; Vietnam + Suchen Sie Ihr Suchwort? Unterrichtserfolg; Unterrichtsmedien; Technology enhanced learning; Technology aided learning; Technologieunterstütztes Lernen; Mensch-Maschine-System; Interaktion; Online course; Online-Kurs; School closings; Schule; Schließung; Schließung (von Schulen); Lernumgebung; Ausland; Collegestudent
Abstract	In this paper, a multi-mode digital teaching approach is proposed based on the use of the VARK (Visual, Aural, Read/Write, Kinaesthetic) model where students have different styles (one or more) that improve their learning (face-to-face and online). Our research question is on the effectiveness of this approach in terms of learning efficacy and students' satisfaction. An experiment with 41 students has been carried out for five months to answer the research question and to provide a first validation of using VARK for multi-mode digital HCI teaching. During the experiment, the theoretical sessions were given through videoconference using Microsoft Teams and with the support of Moodle. In the practical sessions, students had to create a software prototype following a User-Centred Design with a real client. For this, they used Discord to collaborate in their groups, Teams to ask questions to teachers and PowerPoint and Genially to present their work online to the class through a Teams videoconference. A regression model has been provided to predict the VARK indicated by the questionnaire to each student with a prediction success of nearly 77%. Using the VARK multi-mode digital teaching approach has proved valid, and effective and beneficial in the teaching of HCI with a significant improvement in the learning scores and satisfaction levels of the students even with respect to pre-COVID-19 where the teaching was face-to-face. (As Provided).
Anmerkungen	International Forum of Educational Technology & Society. Available from: National Yunlin University of Science and Technology. No. 123, Section 3, Daxue Road, Douliu City, Yunlin County, Taiwan 64002. e-mail: journal.ets@gmail.com; Web site: https://www.j-ets.net/
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01