IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v20y2023i5p4518-d1086909.html
   My bibliography  Save this article

Analysis of Factors Affecting Academic Performance of Mathematics Education Doctoral Students: A Structural Equation Modeling Approach

Author

Listed:
  • Tommy Tanu Wijaya

    (School of Mathematical Sciences, Beijing Normal University, Beijing 100875, China
    These authors contributed equally to this work.)

  • Boran Yu

    (School of Mathematical Sciences, Beijing Normal University, Beijing 100875, China
    These authors contributed equally to this work.)

  • Fei Xu

    (Teachers College, Columbia University, New York, NY 10027, USA)

  • Zhiqiang Yuan

    (School of Mathematics and Statistics, Hunan Normal University, Changsha 410081, China)

  • Mailizar Mailizar

    (Mathematics Education Department, Universitas Syiah Kuala, Banda Aceh 23111, Indonesia)

Abstract

Student academic performance is an important indicator of doctoral education quality, but limited research has focused on how multiple influential factors of doctoral students’ academic performance work together. This study aims to explore the factors significantly affecting the academic performance of mathematics education doctoral students in Indonesia. Several factors were recognized from prior studies, such as the fear of delay, student engagement, parental support, teacher support, facilitating conditions, stress level, and well-being. An online questionnaire was designed and answered by a total of 147 mathematics education doctoral students. The partial least squares structural equation modeling (PLS-SEM) approach was adopted to analyze the questionnaire data. The results suggested that teacher support had the strongest positive effects on mathematics education doctoral students’ academic performance in Indonesia. Student engagement was the most significant positive factor in improving doctoral students’ well-being, while parental support could most significantly reduce their stress levels. Practically, these results are expected to provide implications to universities and supervisors regarding the improvement of doctoral students’ well-being to promote their academic success and further the quality of doctoral programs in education. Theoretically, these results can also contribute to building an empirical model that can be used to explore and explain how multiple factors could affect doctoral students’ academic performance in other contexts.

Suggested Citation

  • Tommy Tanu Wijaya & Boran Yu & Fei Xu & Zhiqiang Yuan & Mailizar Mailizar, 2023. "Analysis of Factors Affecting Academic Performance of Mathematics Education Doctoral Students: A Structural Equation Modeling Approach," IJERPH, MDPI, vol. 20(5), pages 1-23, March.
  • Handle: RePEc:gam:jijerp:v:20:y:2023:i:5:p:4518-:d:1086909
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/20/5/4518/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/20/5/4518/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kang, Weiyao & Shao, Bingjia, 2023. "The impact of voice assistants’ intelligent attributes on consumer well-being: Findings from PLS-SEM and fsQCA," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
    2. Sara M. González-Betancor & Pablo Dorta-González, 2020. "Risk of Interruption of Doctoral Studies and Mental Health in PhD Students," Mathematics, MDPI, vol. 8(10), pages 1-12, October.
    3. Dong, Chuanmei & Cao, Simin & Li, Hui, 2020. "Young children’s online learning during COVID-19 pandemic: Chinese parents’ beliefs and attitudes," Children and Youth Services Review, Elsevier, vol. 118(C).
    4. Tommy Tanu Wijaya & Peijie Jiang & Mailizar Mailizar & Akhmad Habibi, 2022. "Predicting Factors Influencing Preservice Teachers’ Behavior Intention in the Implementation of STEM Education Using Partial Least Squares Approach," Sustainability, MDPI, vol. 14(16), pages 1-24, August.
    5. Eberhardt, Wiebke & Brüggen, Elisabeth & Post, Thomas & Hoet, Chantal, 2021. "Engagement behavior and financial well-being: The effect of message framing in online pension communication," International Journal of Research in Marketing, Elsevier, vol. 38(2), pages 448-471.
    6. David Ansong & Moses Okumu & Travis J. Albritton & Eva Paige Bahnuk & Eusebius Small, 2020. "The Role of Social Support and Psychological Well-Being in STEM Performance Trends across Gender and Locality: Evidence from Ghana," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 13(5), pages 1655-1673, October.
    7. Nor Aishah Abdullah & Nurulaini Abu Shamsi & Hashem Salarzadeh Jenatabadi & Boon-Kwee Ng & Khairul Anam Che Mentri, 2022. "Factors Affecting Undergraduates’ Academic Performance during COVID-19: Fear, Stress and Teacher-Parents’ Support," Sustainability, MDPI, vol. 14(13), pages 1-12, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bo Wang & Yangui Peng & Zhenxi Cao, 2024. "How Chinese Undergraduate Students’ Perceptions of Assessment for Learning Influence Their Responsibility for First-Year Mathematics Courses," Mathematics, MDPI, vol. 12(2), pages 1-18, January.
    2. Zhiqiang Yuan & Jing Liu & Xi Deng & Tianzi Ding & Tommy Tanu Wijaya, 2023. "Facilitating Conditions as the Biggest Factor Influencing Elementary School Teachers’ Usage Behavior of Dynamic Mathematics Software in China," Mathematics, MDPI, vol. 11(6), pages 1-18, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Xin Jian & Tommy Tanu Wijaya & Qingchun Yu, 2022. "Key Factors Affecting Mathematics Teachers’ Well-Being and Stress Levels: An Extended Engagement Theory," IJERPH, MDPI, vol. 20(1), pages 1-20, December.
    2. Liu, Chih-Hsing & Dong, Tse-Ping & Vu, Ho Tran, 2023. "Transformed virtual concepts into reality: Linkage the viewpoint of entrepreneurial passion, technology adoption propensity and advantage to usage intention," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    3. Rimsha Asad & Saud Altaf & Shafiq Ahmad & Adamali Shah Noor Mohamed & Shamsul Huda & Sofia Iqbal, 2023. "Achieving Personalized Precision Education Using the Catboost Model during the COVID-19 Lockdown Period in Pakistan," Sustainability, MDPI, vol. 15(3), pages 1-22, February.
    4. Boukis, Achilleas, 2023. "Storytelling in initial coin offerings: Attracting investment or gaining referrals?," Journal of Business Research, Elsevier, vol. 160(C).
    5. Lu, Hsiao-Han & Chen, Ching-Fu & Tai, Yi-Wen, 2024. "Exploring the roles of vlogger characteristics and video attributes on followers’ value perceptions and behavioral intention," Journal of Retailing and Consumer Services, Elsevier, vol. 77(C).
    6. Tommy Tanu Wijaya & Imam Fitri Rahmadi & Siti Chotimah & Jailani Jailani & Dhoriva Urwatul Wutsqa, 2022. "A Case Study of Factors That Affect Secondary School Mathematics Achievement: Teacher-Parent Support, Stress Levels, and Students’ Well-Being," IJERPH, MDPI, vol. 19(23), pages 1-19, December.
    7. Valeria Rega & Francesca Gioia & Valentina Boursier, 2023. "Problematic Media Use among Children up to the Age of 10: A Systematic Literature Review," IJERPH, MDPI, vol. 20(10), pages 1-29, May.
    8. Xiaodan Jin & Eunhye Kim & Kyung-chul Kim & Sitian Chen, 2024. "Innovative Knowledge Generation: Exploring Trends in the Use of Early Childhood Education Apps in Chinese Families," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 12253-12292, September.
    9. Elshaer, Ibrahim A. & Alrawad, Mahmaod & Lutfi, Abdalwali & Azazz, Alaa M.S., 2024. "Social commerce and buying intention post COVID-19: Evidence from a hybrid approach based on SEM – fsQCA," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
    10. Beere, Brendan & Byrne, Shane & Kelly, Jane & Pratap Singh, Anuj, 2022. "The Great Account Migration: Lessons from Behavioural Economics," Financial Stability Notes 13/FS/22, Central Bank of Ireland.
    11. Marianna Alesi & Giulia Giordano & Ambra Gentile & Barbara Caci, 2023. "The Switch to Online Learning during the COVID-19 Pandemic: The Interplay between Personality and Mental Health on University Students," IJERPH, MDPI, vol. 20(7), pages 1-15, March.
    12. Hu, Qian & Pan, Zhao, 2023. "Can AI benefit individual resilience? The mediation roles of AI routinization and infusion," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    13. Guo, Wenshan & Luo, Qiangqiang, 2023. "Investigating the impact of intelligent personal assistants on the purchase intentions of Generation Z consumers: The moderating role of brand credibility," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    14. Osvaldo García-Mata & Mariana Zerón-Félix, 2022. "A review of the theoretical foundations of financial well-being," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 69(2), pages 145-176, June.
    15. Badghish, Saeed & Shaik, Aqueeb Sohail & Sahore, Nidhi & Srivastava, Shalini & Masood, Ayesha, 2024. "Can transactional use of AI-controlled voice assistants for service delivery pickup pace in the near future? A social learning theory (SLT) perspective," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    16. Sukhov, Alexandre & Friman, Margareta & Olsson, Lars E., 2023. "Unlocking potential: An integrated approach using PLS-SEM, NCA, and fsQCA for informed decision making," Journal of Retailing and Consumer Services, Elsevier, vol. 74(C).
    17. Ling Yu & Pengjun Zhao & Junqing Tang & Liang Pang & Zhaoya Gong, 2023. "Social inequality of urban park use during the COVID-19 pandemic," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-11, December.
    18. Alka Pandita & Ravi Kiran, 2023. "The Technology Interface and Student Engagement Are Significant Stimuli in Sustainable Student Satisfaction," Sustainability, MDPI, vol. 15(10), pages 1-21, May.
    19. Ford, Timothy G. & Kwon, Kyong-Ah & Tsotsoros, Jessica D., 2021. "Early childhood distance learning in the U.S. during the COVID pandemic: Challenges and opportunities," Children and Youth Services Review, Elsevier, vol. 131(C).
    20. Mohammad, Taufik & Mohamed Hussin, Nur Atikah & Husin, Mohd Heikal, 2022. "Online safety awareness and human factors: An application of the theory of human ecology," Technology in Society, Elsevier, vol. 68(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:20:y:2023:i:5:p:4518-:d:1086909. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.