Engaging in homework development

Tarsis platform as an innovative learning methodology

Bibliographic Data

ID19514040
AuthorsFrancisco Buitrago (Universidad de los Andes, corresponding author)
Year2020
Volume36
Issue3
Pages147-162
Publication date2020-06-26
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueAustralasian Journal of Educational Technology (JOURNAL)
Journal identifiersISSN: 1449-3098 • E-ISSN: 1449-5554
PublisherAustralasian Society for Computers in Learning in Tertiary Education (PUBLISHER • NZ)
DOI10.14742/ajet.5865
OpenAlexW3040645596
LanguageEN
Citations received1
References cited13

The paramount importance of active pedagogical learning for the development of skills and competences is now unquestionable. However, homework assignments in engineering courses are still passive learning instruments that often appear as requirements rather than learning tools. This issue arises due that the teaching team usually does not have the capabilities to provide real-time feedback, neither to enable students to fix errors on a timely manner to enhance the process of learning. To overcome this challenge, we developed a novel Blended-like methodology for homework assignments called TARSIS. This methodology uses a platform to boosts the contribution of homework assignments in the learning process by using an attempt mechanism for online solution, combined with a real-time feedback scheme in both virtual and face-to-face environments. The platform is very intuitive to use and offers full flexibility for self-paced learning. In this study, we describe the methodology and use a mixed-method research approach to assess the performance of TARSIS. Results indicate that students enrolled with TARSIS achieved higher performance in both homework assignments and exams. Furthermore, students’ perceptions demonstrate higher enthusiasm and motivation towards the value of homework assignments as mechanisms to promote learning processes

Blended Learning · Educational technology · Enthusiasm · Likert scale · Mathematics education · Multimedia · Computer Science · Innovative Teaching and Learning Methods · Innovative Teaching Methods · Online and Blended Learning · Psychology · Artificial Intelligence

Tools

Open DOIOpen Access