The Examination of Learning Styles, Degree Level, Gender, and Major on Graduate Student Motivation in the Online Courseroom

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Title: The Examination of Learning Styles, Degree Level, Gender, and Major on Graduate Student Motivation in the Online Courseroom
Language: English
Authors: Denna McCalla-Howell
Source: ProQuest LLC. 2022Ph.D. Dissertation, Capella University.
Availability: ProQuest LLC. 789 East Eisenhower Parkway, P.O. Box 1346, Ann Arbor, MI 48106. Tel: 800-521-0600; Web site: http://www.proquest.com/en-US/products/dissertations/individuals.shtml
Peer Reviewed: N
Page Count: 132
Publication Date: 2022
Document Type: Dissertations/Theses - Doctoral Dissertations
Education Level: Higher Education
Postsecondary Education
Adult Education
Descriptors: Learning Modalities, Academic Degrees, Gender Differences, Majors (Students), Graduate Students, Student Motivation, Electronic Learning, Predictor Variables, Adult Students, Doctoral Students, Visual Learning, Audiolingual Methods
ISBN: 979-88-340-6218-9
Abstract: This research study analyzes how the predictor variables sensing-intuitive learning style, verbal-visual learning style, gender, major, and degree level of adult learners predict student intrinsic motivation-to know, extrinsic motivation-external regulation, and amotivation to pursue an online graduate degree. The primary research question states: Do the predictor variables of degree level, major, gender, sensing-intuitive learning style, and verbal-visual learning style, taken collectively, result in a statistically significant prediction of the outcome variable of intrinsic motivation-to know? A nonexperimental multiple regression analysis was used. The target population for this study was adult students 25 years old or older pursuing an online graduate degree at the master's or doctorate level, living in the United States, currently enrolled in an online graduate program, and majoring in computer science, business, or psychology, and identifying as a man or woman. The sample of 85 students were selected utilizing a non-probability convenience sampling procedure. The researcher coded the data and calculated the scores for each participant for the Index of Learning Styles (ILS) and the Academic Motivation Scale (AMS-C) subscales used in the study. The findings displayed degree level, major, gender, sensing-intuitive learning style, and visual-verbal learning style combined were not predictors for the outcome variables intrinsic motivation-to know, extrinsic motivation-external regulation, and amotivation. Statistically significant results were displayed for gender on amotivation, R[superscipt 2] = 0.095, F(5, 79) = 1.654, p = 0.029. Future research on a similar topic using an experimental study could potentially yield causal results. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.]
Abstractor: As Provided
Entry Date: 2024
Access URL: https://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:29255511
Accession Number: ED646188
Database: ERIC
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  Data: The Examination of Learning Styles, Degree Level, Gender, and Major on Graduate Student Motivation in the Online Courseroom
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  Data: This research study analyzes how the predictor variables sensing-intuitive learning style, verbal-visual learning style, gender, major, and degree level of adult learners predict student intrinsic motivation-to know, extrinsic motivation-external regulation, and amotivation to pursue an online graduate degree. The primary research question states: Do the predictor variables of degree level, major, gender, sensing-intuitive learning style, and verbal-visual learning style, taken collectively, result in a statistically significant prediction of the outcome variable of intrinsic motivation-to know? A nonexperimental multiple regression analysis was used. The target population for this study was adult students 25 years old or older pursuing an online graduate degree at the master's or doctorate level, living in the United States, currently enrolled in an online graduate program, and majoring in computer science, business, or psychology, and identifying as a man or woman. The sample of 85 students were selected utilizing a non-probability convenience sampling procedure. The researcher coded the data and calculated the scores for each participant for the Index of Learning Styles (ILS) and the Academic Motivation Scale (AMS-C) subscales used in the study. The findings displayed degree level, major, gender, sensing-intuitive learning style, and visual-verbal learning style combined were not predictors for the outcome variables intrinsic motivation-to know, extrinsic motivation-external regulation, and amotivation. Statistically significant results were displayed for gender on amotivation, R[superscipt 2] = 0.095, F(5, 79) = 1.654, p = 0.029. Future research on a similar topic using an experimental study could potentially yield causal results. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.]
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RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 132
    Subjects:
      – SubjectFull: Learning Modalities
        Type: general
      – SubjectFull: Academic Degrees
        Type: general
      – SubjectFull: Gender Differences
        Type: general
      – SubjectFull: Majors (Students)
        Type: general
      – SubjectFull: Graduate Students
        Type: general
      – SubjectFull: Student Motivation
        Type: general
      – SubjectFull: Electronic Learning
        Type: general
      – SubjectFull: Predictor Variables
        Type: general
      – SubjectFull: Adult Students
        Type: general
      – SubjectFull: Doctoral Students
        Type: general
      – SubjectFull: Visual Learning
        Type: general
      – SubjectFull: Audiolingual Methods
        Type: general
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      – TitleFull: The Examination of Learning Styles, Degree Level, Gender, and Major on Graduate Student Motivation in the Online Courseroom
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          Name:
            NameFull: Denna McCalla-Howell
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              Y: 2022
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