Enhancing the Value of Large-Enrollment Course Evaluation Data Using Sentiment Analysis

Article Properties
  • Language
    English
  • Publication Date
    2023/09/15
  • Indian UGC (journal)
  • Refrences
    47
  • Benjamin B. Hoar Department of Chemistry and Biochemistry, University of California Los Angeles, Los Angeles, California 90095, United States
  • Roshini Ramachandran Center for the Advancement of Teaching, University of California Los Angeles, Los Angeles, California 90095, United StatesDepartment of Biology and Chemistry, California State University, Monterey Bay, Seaside, California 93955, United States ORCID
  • Marc Levis-Fitzgerald Center for the Advancement of Teaching, University of California Los Angeles, Los Angeles, California 90095, United States
  • Erin M. Sparck Center for the Advancement of Teaching, University of California Los Angeles, Los Angeles, California 90095, United States
  • Ke Wu Department of Chemistry and Biochemistry, University of California Los Angeles, Los Angeles, California 90095, United States
  • Chong Liu Department of Chemistry and Biochemistry, University of California Los Angeles, Los Angeles, California 90095, United States ORCID
Cite
Hoar, Benjamin B., et al. “Enhancing the Value of Large-Enrollment Course Evaluation Data Using Sentiment Analysis”. Journal of Chemical Education, vol. 100, no. 10, 2023, pp. 4085-91, https://doi.org/10.1021/acs.jchemed.3c00258.
Hoar, B. B., Ramachandran, R., Levis-Fitzgerald, M., Sparck, E. M., Wu, K., & Liu, C. (2023). Enhancing the Value of Large-Enrollment Course Evaluation Data Using Sentiment Analysis. Journal of Chemical Education, 100(10), 4085-4091. https://doi.org/10.1021/acs.jchemed.3c00258
Hoar, Benjamin B., Roshini Ramachandran, Marc Levis-Fitzgerald, Erin M. Sparck, Ke Wu, and Chong Liu. “Enhancing the Value of Large-Enrollment Course Evaluation Data Using Sentiment Analysis”. Journal of Chemical Education 100, no. 10 (2023): 4085-91. https://doi.org/10.1021/acs.jchemed.3c00258.
Hoar BB, Ramachandran R, Levis-Fitzgerald M, Sparck EM, Wu K, Liu C. Enhancing the Value of Large-Enrollment Course Evaluation Data Using Sentiment Analysis. Journal of Chemical Education. 2023;100(10):4085-91.
Refrences
Title Journal Journal Categories Citations Publication Date
10.1007/978-3-030-88234-1_8 2022
10.1007/978-3-030-88234-1_8 2018
Hands-On Machine Learning with Scikit-Lean, Keras & TensorFlow 2019
Challenging Misconceptions About Student Ratings of Instruction. 2016, IDEA Paper 58 2016
Narrowing Achievement Gaps in General Chemistry Courses with and without In-Class Active Learning Journal of Chemical Education
  • Science: Chemistry: General. Including alchemy
  • Education: Education (General)
  • Science: Chemistry
3 2023