Educating Financial Accounting: A Need Analysis for Technology-Driven Problem-Solving Skills Article Swipe
Nuwan Lakmal Hettiarachchi
,
Tamil Selvan Subramaniam
,
Muhammad Nurtanto
,
Sarala Thulasi Palpanadan
,
Zachariah John A. Belmonte
,
A. Selvaraj
,
Nur Kholifah
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.18178/ijiet.2023.13.2.1817
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.18178/ijiet.2023.13.2.1817
The teaching and learning process of financial accounting (FA) has become a challenge in an ever-changing global perspective, and an important discussion is replacing classroom teaching with career-based requirements. Problem-solving skills (PSS) help determine the source of problems and find appropriate solutions in teaching FA topics. This study aimed to identify the need for problem-solving skills for FA students for job readiness and identify the appropriate technology-savvy platform to improve problem-solving skills. Undergraduate students at the College of Banking and Financial Studies (CBFS) in Muscat, Sultanate of Oman, were selected as the research domain for data collection and analysis. This study reports a part of a preliminary study conducted using a survey technique on FA students. The main finding was that they had placed problem-solving skills as one of the important job skills in the modern financial accounting era. Furthermore, the needs analysis reflected the importance of the quiz-based learning (QBL) method embedded in Microsoft Forms (MFS) as a technology-based platform for teaching and learning about FA. Therefore, this study collected findings from the needs analysis phase with the help of QBL-MFS to improve the problem-solving skills of FA students to prepare them with life skills to be applied in the world place.
Related Topics
Concepts
Process (computing)
Computer science
Domain (mathematical analysis)
Mathematics education
Perspective (graphical)
Data collection
Life skills
Medical education
Psychology
Knowledge management
Accounting
Pedagogy
Mathematics
Business
Artificial intelligence
Medicine
Statistics
Operating system
Mathematical analysis
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.18178/ijiet.2023.13.2.1817
- http://www.ijiet.org/vol13/IJIET-V13N2-1817-IJIET-5696.pdf
- OA Status
- diamond
- Cited By
- 2
- References
- 27
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4321121293
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4321121293Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.18178/ijiet.2023.13.2.1817Digital Object Identifier
- Title
-
Educating Financial Accounting: A Need Analysis for Technology-Driven Problem-Solving SkillsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-01-01Full publication date if available
- Authors
-
Nuwan Lakmal Hettiarachchi, Tamil Selvan Subramaniam, Muhammad Nurtanto, Sarala Thulasi Palpanadan, Zachariah John A. Belmonte, A. Selvaraj, Nur KholifahList of authors in order
- Landing page
-
https://doi.org/10.18178/ijiet.2023.13.2.1817Publisher landing page
- PDF URL
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https://www.ijiet.org/vol13/IJIET-V13N2-1817-IJIET-5696.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://www.ijiet.org/vol13/IJIET-V13N2-1817-IJIET-5696.pdfDirect OA link when available
- Concepts
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Process (computing), Computer science, Domain (mathematical analysis), Mathematics education, Perspective (graphical), Data collection, Life skills, Medical education, Psychology, Knowledge management, Accounting, Pedagogy, Mathematics, Business, Artificial intelligence, Medicine, Statistics, Operating system, Mathematical analysisTop concepts (fields/topics) attached by OpenAlex
- Cited by
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2Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1, 2024: 1Per-year citation counts (last 5 years)
- References (count)
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27Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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