Promoting Active Learning using a web-based Audience Response System

Author(s):  
Christoforos V. Karachristos ◽  
Elias C. Stavropoulos ◽  
Vassilios S. Verykios ◽  
Fotis Lazarinis ◽  
Evangelos Sakkopoulos ◽  
...  
2014 ◽  
Vol 48 (11) ◽  
pp. 1128-1128 ◽  
Author(s):  
Adrian Gooi ◽  
Michael Gousseau ◽  
Serena Nelko ◽  
Bryan Janzen

2018 ◽  
Vol 17 (1) ◽  
pp. 25
Author(s):  
Kristian Paul Evans

Obtaining interaction and engagement in large group teaching can be challenging, in particular in STEM subjects where it is essential to be able to efficiently present symbols, equations and formulae. Pingo is a free, web-based system that provides an excellent way of introducing interaction in large group teaching, as there are no restrictions on the number of participants. It is particularly useful in Mathematics-based subjects as it is TeX compatible. Such interaction also provides feedback to students and lecturers and it is a straightforward, but creative way to enhance student engagement. The author has tried and tested Pingo weekly in Mathematics and Statistics modules. This article provides all the information and resources required to start using Pingo along with some reflections on its use in the Mathematics Department at Swansea University.


2020 ◽  
Author(s):  
Naoto Nakagawa ◽  
Toshiyuki Yamashita

Abstract Background: Active learning methods, audience response system (ARS) and flipped classroom (FC), have applied in higher education internationally. However, these outcomes in Japan are uncertain. This study presents a comparison of teaching methods such as the traditional face-to-face (TFF), ARS, and FC plus ARS that are used to enhance student pharmacists’ understanding of pharmacology.Methods: Sophomores at Ohu University were recruited for this study from 2017 to 2019. The TFF were performed in 2017; the ARS were performed in 2018; and the FC plus ARS were performed in 2019. Exam scores were compared between the three methods and anonymous questionnaires were also surveyed in 2018 and 2019 to compare students’ preferences. The Kruskal-Wallis test and ANOVA were carried out depending on data distributions. Categorical data were analyzed using the Chi square test and the Fisher’s exact test. The ANCOVA was performed if background information between the three cohorts was significantly different.Results: The groupings of the participants went as follows: 49 students in 2017, 78 students in 2018, and 90 students in 2019. Their academic backgrounds of each year at the end of their freshman year were similar except for their grade point averages (GPAs). The medians of their pharmacology exam correct rates for the TFF, ARS, and FC plus ARS were 73.3%, 90.0%, and 93.3%, respectively. ANCOVA utilizing GPA as the covariance revealed that the ARS and the FC plus ARS significantly improved exam correct rates compared with the TFF (p < 0.001). There was no significant difference between the ARS and the FC plus ARS groups (p = 0.487). A subgroup analysis in terms of gender difference revealed that the ARS was a significantly improved method compared to the FC plus ARS for female students (p = 0.009), whereas the ARS was not for male students (p = 0.819). Anonymous questionnaires revealed that students in the FC plus ARS lectures had good readiness, enjoyed their classes, and felt fulfillment compared with the ARS lectures. Conclusions: Active learning methods including the ARS and FC plus ARS are significantly more effective than TFF methods.


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