Author
Listed:
- Adam Wong
(School of Professional Education & Executive Development, The Hong Kong Polytechnic University)
- Simon Wong
(Hong Kong Community College, The Hong Kong Polytechnic University)
- Eric Woo
(Hong Kong Community College, The Hong Kong Polytechnic University)
- Jacky Wong
(School of Professional Education & Executive Development, The Hong Kong Polytechnic University,)
Abstract
The SRS (Student Response System) is a software tool that is designed to facilitate students to learn by making the lessons more interesting and interactive, quickly assessing their understanding of the subject, and inspiring discussions. While the traditional SRS makes use of custom-made devices called Clickers, recently there are many mobile phone-based SRSs developed and accessible through the Internet. However, many university teachers are hesitant to use SRS due to the lack of research about student perception of the application of SRS in higher education. Our study will report on the student perception of using mobile phone-based SRS in a self-financed higher education institution in Hong Kong. Data were collected from over 400 students using online surveys during the autumn semester in 2017.This paper will start a concise overview of the SRS technology. Then it will report the sampling method and survey procedure. Finally, it will show the analysis of the results using the Technology Acceptance Model (TAM). This research shows that the students have positive perceptions on the usefulness and ease of use of the SRS. However, the students in the early stage of study have a significantly more positive perception on the ease of use than the students in the final stage of study. All the students have positive intention to continue to use SRS. Hence, we recommend teachers should adopt SRS in their classroom teacher, with more attention in making questions easier to understand for final stage students.
Suggested Citation
Adam Wong & Simon Wong & Eric Woo & Jacky Wong, 2018.
"Student Perceptions on the use of Student Response System in Higher Education in Hong Kong,"
Proceedings of Teaching and Education Conferences
8309358, International Institute of Social and Economic Sciences.
Handle:
RePEc:sek:itepro:8309358
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JEL classification:
- C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
- C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
- I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
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