The Impact of Student Response Systems (SRS) on Student Achievements: A University-Scale Study with Deep Exploratory Data Analysis (EDA)

被引:2
|
作者
Shahba, Ahmad Abdul-Wahhab [1 ,2 ]
Soufan, Walid [1 ,3 ]
Altwijri, Omar [1 ,4 ]
Alsadoon, Elham [1 ,5 ]
Alkathiri, Saud [1 ,5 ]
机构
[1] King Saud Univ, Ctr Excellence Learning & Teaching, Riyadh 11451, Saudi Arabia
[2] King Saud Univ, Coll Pharm, Kayyali Chair Pharmaceut Ind, Dept Pharmaceut, Box 2457, Riyadh 11451, Saudi Arabia
[3] King Saud Univ, Coll Food & Agr Sci, Plant Prod Dept, POB 2460, Riyadh 11451, Saudi Arabia
[4] King Saud Univ, Coll Appl Med Sci, Dept Biomed Technol, POB 2460, Riyadh 11451, Saudi Arabia
[5] King Saud Univ, Coll Educ, Curriculum & Instruct Dept, POB 2460, Riyadh 11451, Saudi Arabia
来源
SYSTEMS | 2023年 / 11卷 / 08期
关键词
student achievement; active learning; student response systems; score analysis; !text type='Python']Python[!/text] programming language; data analysis; LEARNING OUTCOMES; HIGHER-EDUCATION; CLICKERS; INSTRUCTION; TECHNOLOGY;
D O I
10.3390/systems11080384
中图分类号
C [社会科学总论];
学科分类号
03 ; 0303 ;
摘要
The integration of Student Response Systems (SRSs) into classroom teaching is a pioneering progression in social sciences research that has shown potential in boosting student engagement and elevating academic success. However, no extensive study has examined the impact of its use on academic achievement within a sizable number of students of diverse cofactors, such as scientific discipline and study levels. The current study aims to conduct a comprehensive score analysis investigating the effect of SRS use on academic performance. It involved a total of 6047 male and female undergraduate students from four scientific disciplines, seven colleges, four campuses, and 13 courses covering all study levels within King Saud University. The student's scores along with their attributes were anonymously collected from the university system. A voluntary anonymous survey was distributed to collect students' perceptions of SRS along with their personal attributes, such as learning style, and class interaction preferences. Upon data collection, the Python programming language was exclusively implemented for comprehensive data analysis including grouping, validation, random sampling, visualization, and statistical analysis. The overall score analysis study showed a non-significant effect of SRS use on student scores compared to the control (non-SRS) group, while the survey findings proved a significant enhancement of students' scores (in courses that utilized SRS) compared to their overall GPA. In addition, the differential score and survey analysis within various study subcategories showed significant positive effects in certain subcategories, particularly science and community colleges, and four of their representative courses. SRS showed higher levels of overall student satisfaction (average-4.4/5.0), yet it was also significantly influenced by scientific discipline, preferred interaction methods, and study levels. Overall, SRS provides a highly engaging tool with excellent student acceptance and potential academic performance enhancement.
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页数:23
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