Strengths And Challenges In Station Rotation Gamification
Identificadores
URI: https://hdl.handle.net/10481/84119Metadata
Show full item recordEditorial
Universidad de Granada
Materia
Gamification Station rotation Advantages Higher education
Date
2023-07-25Referencia bibliográfica
Azlinda Shafie, Zaleha Abdullah (2023). Strengths And Challenges In Station Rotation Gamification .Journal for Educators, Teachers and Trainers,Vol. 14(5). 533-540
Abstract
Gamification is a pedagogical strategy for improving the learning environment for students. It has
been positioned as a remedy for issues with student engagement, learning, and retention that are
prevalent in higher education.Although students are only considered to be the consumers of
gamification, current implementations of gamification in education place a greater emphasis on the
function of game aspects in promoting lower-order learning goals like understanding and
remembering. One of the problems with current gamification is the unstructured approach used in
game design elements that lead to ineffective outcomes(Sailer, Hense, Mayr, & Mandl, 2017). To
overcome the problem, researchers have introduced an innovative approach gamification technique
called Station Rotation Gamification (SRG) that has been implemented in 10 weeks of learning in one
of the public colleges in Malaysia.Therefore, the purpose of this study is to explore the strengths and
challenges of implementing Station Rotation Gamification (SRG). Ten students and two lecturers
participated in the semi-structured interview for the study. Surveys on strengths and challenges were
also quantitatively administered to the 35 students to support the findings. The interview's findings
are categorised into themes and subthemes. The students' challenges in implementingStation Rotation
Gamification (SRG) at a public college included increased participation, struggling in finding the
answer, longer periods, demonstrating enthusiasm, and completing assignments on time. Moreover,
the strengths under the theme of students' motivation are looking excited, consistent effort, eagerness
to learn more, and self-regulation.These strengths and challenges were revealed through data analysis
using opencoding, axial coding, and selective coding. Quantitative data are assessed and displayed in
a table and graph.