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The Effectiveness of Statistical Learning Tasks Based on Excel Software in Developing Statistical Thinking Skills Related to the Labor Market among Students of the Applied College

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Title: The Effectiveness of Statistical Learning Tasks Based on Excel Software in Developing Statistical Thinking Skills Related to the Labor Market among Students of the Applied College
Language: English
Authors: Bandar Marzoog Almutairi (ORCID 0009-0000-9002-3449)
Source: Educational Process: International Journal. Article e2025089 2025 14.
Availability: UNIVERSITEPARK Limited. iTOWER Plaza (No61, 9th floor) Merkez Mh Akar Cd No3, Sisli, Istanbul, Turkey 34382. e-mail: editor@edupij.com; Web site: http://www.edupij.com/
Peer Reviewed: Y
Page Count: 17
Publication Date: 2025
Document Type: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: Statistics Education, Computer Software, Spreadsheets, Thinking Skills, Teaching Methods, College Students, Career Readiness, Misconceptions, Skill Development, Instructional Design, Job Skills, Banking, Finance Occupations, Foreign Countries
Geographic Terms: Saudi Arabia
ISSN: 2147-0901
2564-8020
Abstract: Background/purpose: This study addresses the lack of statistical thinking skills among Applied College students, a key requirement for professional success. Traditional statistics education focuses on procedural and computational methods rather than conceptual understanding, leading to misconceptions and difficulties in data organization, summarization, and interpretation. The research aligns with Umm Al-Qura University's Program Transformation Project, emphasizing workforce readiness by enhancing statistics courses. The study's primary goal was to design and implement Excel-based statistical learning tasks to improve students' statistical thinking skills, particularly in the Banking and Finance diploma program. The study aimed to equip students with essential data-handling skills for professional environments by integrating practical applications. Materials/methods: This study utilized a mixed-methods approach, combining qualitative and quantitative techniques. The qualitative aspect focused on designing Excel-based statistical learning tasks and identifying essential statistical thinking skills, while the quantitative component employed a quasi-experimental design to evaluate task effectiveness. Results: The study demonstrated a significant improvement in statistical thinking skills among the experimental group using Excel-based tasks. It confirmed their effectiveness in developing key skills. It emphasized their importance in the job market, particularly for banking and finance diploma students, highlighting their role in enhancing future professional competencies. Conclusion: The study concluded that Excel-based statistical learning tasks effectively develop students' statistical thinking skills. These skills are essential for success in the job market, particularly for students in banking and finance diploma programs.
Abstractor: As Provided
Entry Date: 2025
Accession Number: EJ1466574
Database: ERIC
FullText Text:
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  Data: The Effectiveness of Statistical Learning Tasks Based on Excel Software in Developing Statistical Thinking Skills Related to the Labor Market among Students of the Applied College
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  Data: <searchLink fieldCode="AR" term="%22Bandar+Marzoog+Almutairi%22">Bandar Marzoog Almutairi</searchLink> (ORCID <externalLink term="https://orcid.org/0009-0000-9002-3449">0009-0000-9002-3449</externalLink>)
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  Data: UNIVERSITEPARK Limited. iTOWER Plaza (No61, 9th floor) Merkez Mh Akar Cd No3, Sisli, Istanbul, Turkey 34382. e-mail: editor@edupij.com; Web site: http://www.edupij.com/
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  Data: <searchLink fieldCode="DE" term="%22Statistics+Education%22">Statistics Education</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Software%22">Computer Software</searchLink><br /><searchLink fieldCode="DE" term="%22Spreadsheets%22">Spreadsheets</searchLink><br /><searchLink fieldCode="DE" term="%22Thinking+Skills%22">Thinking Skills</searchLink><br /><searchLink fieldCode="DE" term="%22Teaching+Methods%22">Teaching Methods</searchLink><br /><searchLink fieldCode="DE" term="%22College+Students%22">College Students</searchLink><br /><searchLink fieldCode="DE" term="%22Career+Readiness%22">Career Readiness</searchLink><br /><searchLink fieldCode="DE" term="%22Misconceptions%22">Misconceptions</searchLink><br /><searchLink fieldCode="DE" term="%22Skill+Development%22">Skill Development</searchLink><br /><searchLink fieldCode="DE" term="%22Instructional+Design%22">Instructional Design</searchLink><br /><searchLink fieldCode="DE" term="%22Job+Skills%22">Job Skills</searchLink><br /><searchLink fieldCode="DE" term="%22Banking%22">Banking</searchLink><br /><searchLink fieldCode="DE" term="%22Finance+Occupations%22">Finance Occupations</searchLink><br /><searchLink fieldCode="DE" term="%22Foreign+Countries%22">Foreign Countries</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Saudi+Arabia%22">Saudi Arabia</searchLink>
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  Data: 2147-0901<br />2564-8020
– Name: Abstract
  Label: Abstract
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  Data: Background/purpose: This study addresses the lack of statistical thinking skills among Applied College students, a key requirement for professional success. Traditional statistics education focuses on procedural and computational methods rather than conceptual understanding, leading to misconceptions and difficulties in data organization, summarization, and interpretation. The research aligns with Umm Al-Qura University's Program Transformation Project, emphasizing workforce readiness by enhancing statistics courses. The study's primary goal was to design and implement Excel-based statistical learning tasks to improve students' statistical thinking skills, particularly in the Banking and Finance diploma program. The study aimed to equip students with essential data-handling skills for professional environments by integrating practical applications. Materials/methods: This study utilized a mixed-methods approach, combining qualitative and quantitative techniques. The qualitative aspect focused on designing Excel-based statistical learning tasks and identifying essential statistical thinking skills, while the quantitative component employed a quasi-experimental design to evaluate task effectiveness. Results: The study demonstrated a significant improvement in statistical thinking skills among the experimental group using Excel-based tasks. It confirmed their effectiveness in developing key skills. It emphasized their importance in the job market, particularly for banking and finance diploma students, highlighting their role in enhancing future professional competencies. Conclusion: The study concluded that Excel-based statistical learning tasks effectively develop students' statistical thinking skills. These skills are essential for success in the job market, particularly for students in banking and finance diploma programs.
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    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 17
    Subjects:
      – SubjectFull: Statistics Education
        Type: general
      – SubjectFull: Computer Software
        Type: general
      – SubjectFull: Spreadsheets
        Type: general
      – SubjectFull: Thinking Skills
        Type: general
      – SubjectFull: Teaching Methods
        Type: general
      – SubjectFull: College Students
        Type: general
      – SubjectFull: Career Readiness
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      – SubjectFull: Misconceptions
        Type: general
      – SubjectFull: Skill Development
        Type: general
      – SubjectFull: Instructional Design
        Type: general
      – SubjectFull: Job Skills
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      – SubjectFull: Banking
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      – SubjectFull: Finance Occupations
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      – SubjectFull: Foreign Countries
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      – SubjectFull: Saudi Arabia
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      – TitleFull: The Effectiveness of Statistical Learning Tasks Based on Excel Software in Developing Statistical Thinking Skills Related to the Labor Market among Students of the Applied College
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              Y: 2025
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