Academic Motivation in Introductory Business Analytics Courses: A Bayesian Approach

Published Online:https://doi.org/10.1287/ited.2021.0247

References

  • Brookshire RG, Palocsay SW (2005) Factors contributing to the success of undergraduate business students in management science courses. Decision Sci. J. Innovative Ed. 3(1):99–108.CrossrefGoogle Scholar
  • Carroll P, White A (2017) Identifying patterns of learner behavior: What statistics students do with learning resources. INFORMS Trans. Ed. 18(1):1–13.LinkGoogle Scholar
  • Grossman TA, Mehrotra V, Sidaoui M (2016) A student-centered approach to the business school management science course. INFORMS Trans. Ed. 16(2):42–53.LinkGoogle Scholar
  • Gupta B, Raja U (2015) Teaching analytics, decision support, and business intelligence: Challenges and trends. Iyer L, Power D, eds. Reshaping Society through Analytics, Collaboration, and Decision Support. Annals of Information Systems, vol 18 (Springer, Cham), 205–209.CrossrefGoogle Scholar
  • Jaya I, Toharudin T, Abdullah AS (2018) A Bayesian spatial autoregressive model with k-NN optimization for modeling the learning outcome of the junior high schools in West Java. Model Assisted Statist. Appl. 13(3):207–219.CrossrefGoogle Scholar
  • Jones BD (2009) Motivating students to engage in learning: The MUSIC model of academic motivation. Internat. J. Teaching Learn. Higher Ed. 21(2):272–285.Google Scholar
  • Jones BD (2010) An examination of motivation model components in face-to-face and online instruction. Electronic J. Res. Educational Psych. 8(3):915–944.Google Scholar
  • Jones BD (2020a) MUSIC model of motivation. Research Lab. Accessed July 14, 2020, http://www.theMUSICmodel.com/research-lab/.Google Scholar
  • Jones BD (2020b) User Guide for Assessing the Components of the MUSIC Model of Motivation. MUSIC Model website. Accessed July 14, 2020, https://www.themusicmodel.com/wp-content/uploads/2020/01/User-Guide-January-2020-2.pdf.Google Scholar
  • Jones BD, Skaggs G (2012) Validation of the MUSIC model of academic motivation inventory: A measure of students’ motivation in college courses. Presentation, Internat. Conf. Motivation, August 28, Frankfurt, Germany.Google Scholar
  • Jones BD, Skaggs G (2016) Measuring students’ motivation: Validity evidence for the MUSIC model of academic motivation inventory. Internat. J. Scholarship Teaching Learn. 10(1):7.CrossrefGoogle Scholar
  • Jones BD, Wilkins JLM (2013) Testing the MUSIC model of academic motivation through confirmatory factor analysis. Educational Psych. Internat. J. Experiment. Educational Psych. 33(4):482–503.Google Scholar
  • Jones BD, Paretti MC, Hein SF, Knott TW (2010) An analysis of motivation constructs with first-year engineering students: Relationships among expectancies, values, achievement, and career plans. J. Engrg. Ed. 99(4):319–336.CrossrefGoogle Scholar
  • Kaser T, Klingler S, Schwing AG, Gross M (2017) Dynamic Bayesian networks for student modeling. IEEE Trans. Learn. Tech. 10(4):450–462.CrossrefGoogle Scholar
  • Kruschke JK, Liddell TM (2018) Bayesian data analysis for newcomers. Psychonomic Bull. Rev. 25(1):155–177.CrossrefGoogle Scholar
  • Kruschke JK, Aguinis H, Joo H (2012) The time has come: Bayesian methods for data analysis in the organizational sciences. Organ. Res. Methods 15(4):722–752.CrossrefGoogle Scholar
  • Kusurkar RA, Ten Cate TJ, Vos CMP, Westers P, Croiset G (2013) How motivation affects academic performance: A structural equation modelling analysis. Adv. Health Sci. Ed. Theory Practice 18(1):57–69.CrossrefGoogle Scholar
  • Mitra S, Beenen G (2019) A comparative study of learning styles and motivational factors in traditional and online sections of a business course. INFORMS Trans. Ed. 20(1):1–15.LinkGoogle Scholar
  • Mitra S, Goldstein Z (2018) Impact of supplemental instruction on business courses: A statistical study. INFORMS Trans. Ed. 18(2):89–101.LinkGoogle Scholar
  • Plant RW, Ryan RM (1985) Intrinsic motivation and the effects of self-consciousness, self-awareness, and ego-involvement: An investigation of internally-controlling styles. J. Personality 53(3):435–449.CrossrefGoogle Scholar
  • Rochelle CF, Dotterweich D (2007) Student success in business statistics. J. Econom. Finance Ed. 6(1):19–24.Google Scholar
  • Salvatier J, Wiecki TV, Fonnesbeck C (2016) Probabilistic programming in Python using PyMC3. PeerJ Comput. Sci. 2:e55, https://doi.org/10.7717/peerj-cs.55.CrossrefGoogle Scholar
  • Scala NM, Tomasi S, Goncher A, Bursic KM (2018) Motivation and analytics: Comparing business and engineering students. INFORMS Trans. Ed. 19(1):1–11.Google Scholar
  • Sebastianelli R, Tamimi N (2011) Business statistics and management science online: Teaching strategies and assessment of student learning. J. Ed. Bus. 86(6):317–325.CrossrefGoogle Scholar
  • Torabi E, Vaziri B (2019) Bored students, bored classrooms! What to do? OR/MS Today 46(5). https://doi.org/10.1287/orms.2019.05.14.Google Scholar
  • Wang P, Palocsay SW, Shi J, White MM (2018) Examining undergraduate students’ attitudes toward business statistics in the United States and China. Decision Sci. J. Innovative Ed. 16(3):197–216.CrossrefGoogle Scholar
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