Pedagogical Research

Declaration of Conflict of Interest: No conflict of interest is declared by author(s).

Data sharing statement: Data supporting the findings and conclusions are available upon request from the corresponding author(s).

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APA

Soysal, D., Bani-Yaghoub, M., & Riggers-Piehl, T. A. (2022). A Machine Learning Approach to Evaluate Variables of Math Anxiety in STEM Students. Pedagogical Research, 7(2), em0125. https://doi.org/10.29333/pr/11978

Vancouver

Soysal D, Bani-Yaghoub M, Riggers-Piehl TA. A Machine Learning Approach to Evaluate Variables of Math Anxiety in STEM Students. PEDAGOGICAL RES. 2022;7(2):em0125. https://doi.org/10.29333/pr/11978

AMA

Soysal D, Bani-Yaghoub M, Riggers-Piehl TA. A Machine Learning Approach to Evaluate Variables of Math Anxiety in STEM Students. PEDAGOGICAL RES. 2022;7(2), em0125. https://doi.org/10.29333/pr/11978

Chicago

Soysal, Dilek, Majid Bani-Yaghoub, and Tiffani A Riggers-Piehl. "A Machine Learning Approach to Evaluate Variables of Math Anxiety in STEM Students". Pedagogical Research 2022 7 no. 2 (2022): em0125. https://doi.org/10.29333/pr/11978

Harvard

Soysal, D., Bani-Yaghoub, M., and Riggers-Piehl, T. A. (2022). A Machine Learning Approach to Evaluate Variables of Math Anxiety in STEM Students. Pedagogical Research, 7(2), em0125. https://doi.org/10.29333/pr/11978

MLA

Soysal, Dilek et al. "A Machine Learning Approach to Evaluate Variables of Math Anxiety in STEM Students". Pedagogical Research, vol. 7, no. 2, 2022, em0125. https://doi.org/10.29333/pr/11978