EconPapers    
Economics at your fingertips  
 

Learning preference among accounting students of the University of Mindanao

Clarise C. Barsalote (clarisebarsalote@umindanao.edu.ph), Alyssa Mariztel H. Moya (clarisebarsalote@umindanao.edu.ph) and William Sucuahi (sucuahi_william@umindanao.edu.ph)
Additional contact information
Clarise C. Barsalote: University of Mindanao.
Alyssa Mariztel H. Moya: University of Mindanao.
William Sucuahi: University of Mindanao.

Technium Social Sciences Journal, 2023, vol. 46, issue 1, 39-49

Abstract: Learning preferences are a way to enhance the learning experiences. Students can adjust learning processes and techniques if they understand the impact of different experiences. This study utilized cluster analysis to categorize the learning dimensions on the index of learning preferences of first-year accounting students at the University of Mindanao. A survey was conducted on accounting students, and a method of quantitative correlation was employed. Data were collected using a modified research questionnaire. To determine the learning preferences of first-year accounting students, the researchers use gender, age, and socio-economic status as indicators. The statistical treatments used to analyze and interpret data were principal component analysis and clustering analysis. The study's results indicated the following: (a) most students gain the most knowledge from what they hear; (b) the method that the students utilized is Auditory and Visual. In contrast, group and kinesthetic learning preferences are the students' least preferred.

Keywords: Learning Preference; Cluster Analysis; Dunn and Dunn Learning Style Model (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
https://techniumscience.com/index.php/socialsciences/article/view/9201/3420 (application/pdf)
https://techniumscience.com/index.php/socialsciences/article/view/9201 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:tec:journl:v:46:y:2023:i:1:p:39-49

DOI: 10.47577/tssj.v46i1.9201

Access Statistics for this article

Technium Social Sciences Journal is currently edited by Tasente Tanase

More articles in Technium Social Sciences Journal from Technium Science
Bibliographic data for series maintained by Tasente Tanase (office@pluscommunication.eu).

 
Page updated 2024-12-29
Handle: RePEc:tec:journl:v:46:y:2023:i:1:p:39-49