Motivation and Analytics: Comparing Business and Engineering Students
Published Online:9 Nov 2017https://doi.org/10.1287/ited.2017.0187
References
- (1997) The dimensionality of student ratings of instruction: What we know and what we do not. Perry RP, Smart JC, eds. In Effective Teaching in Higher Education: Research and Practice (Agathon, New York).Google Scholar
- (2000) Motivation and attrition in engineering students. Eur. J. Engrg. Ed. 25(2):145–155.Crossref, Google Scholar
- (1997) Self-Efficacy: The Exercise of Control (Freeman, New York).Google Scholar
- (2005) Rapport: Its relation to student attitudes and behaviors toward teachers and classes. Teaching Psych. 32(4):237–239.Google Scholar
- (1997) Characteristics of freshmen engineering students: Models for determining student attrition in engineering. J. Engrg. Ed. 86(2):139–149.Crossref, Google Scholar
- (2005) Factors contributing to the success of undergraduate business students in management science courses. Decision Sci. J. Innovative Ed. 3(1):99–108.Crossref, Google Scholar
- (2014) Introduction to Engineering Analysis (Stipes Publishing, Champaign, IL).Google Scholar
- (2015) Essentials of Business Analytics (Cengage Learning, Fairfield, CT).Google Scholar
- (1996) Intercoder agreement in analysis of responses to open-ended interview questions: Examples from tuberculosis research. Field Methods 8(3):1–5.Google Scholar
- (1960) A coefficient of agreement for nominal scales. Ed. Psych. Measurement 20(1):37–46.Crossref, Google Scholar
- (1985) Intrinsic Motivation and Self-Determination in Human Behavior (Plenum, New York).Crossref, Google Scholar
- (2001) The impact of instructor verbal and nonverbal immediacy on student perceptions of attractiveness and homophily. J. Excellence in College Teaching 12(2):5–17.Google Scholar
- (2015) Relationships—The fundamental R in education. Phi Delta Kappan 96(8):48–51.Crossref, Google Scholar
- (2009) Examining the teacher efficacy and achievement goals, as predictors of Turkish student teachers’ conceptions about teaching and learning. Australian J. Teacher Ed. 34(1):69–87.Google Scholar
- (2013) Business Analytics: Models, Methods, and Decisions (Pearson, Boston).Google Scholar
- (1971) Measuring nominal scale agreement among many raters. Psych. Bull. 76(1):378–382.Crossref, Google Scholar
- (1988) The relationship between verbal teacher immediacy behavior and student learning. Comm. Ed. 37(1):40–53.Crossref, Google Scholar
- (2006) Integrating spreadsheet engineering in a management science course: A hierarchical approach. INFORMS Trans. Ed. 7(1):18–36.Link, Google Scholar
- (2006) The four-phase model of interest development. Ed. Psychologist 41(2):111–127.Crossref, Google Scholar
- (1993) Prospective teachers’ perspectives on teaching physical education: An interview study on the recruitment phase of teacher socialization. J. Teaching in Physical Ed. 12(4):344–354.Crossref, Google Scholar
- (2009) Motivating students to engage in learning: The MUSIC model of academic motivation. Internat. J. Teaching and Learn. Higher Ed. 21(2):272–285.Google Scholar
- (2010) An examination of motivation model components in face-to-face and online instruction. Electronic J. Res. Ed. Psych. 8(3):915–944.Google Scholar
- (2015a) The MUSIC® model of academic motivation: Research. Accessed January 5, 2016, http://www.themusicmodel.com/research.Google Scholar
- (2015b) The MUSIC® model of academic motivation: Guide to assessing the MUSIC Model components. Accessed January 16, 2015, http://www.MotivatingStudents.info.Google Scholar
- (2017) User guide for assessing the components of the MUSIC® model of motivation. Accessed June 19, 2017, http://www.theMUSICmodel.com.Google Scholar
- (2012) Validation of the MUSIC model of academic motivation inventory: A measure of students’ motivation in college courses. Internat. Conf. Motivation, Frankfurt, Germany.Google Scholar
- (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.Crossref, Google Scholar
- (1998) Codebook development for team-based qualitative analysis. Field Methods 10(2):31–36.Google Scholar
- (2009) Do your students care whether you care about them? College Teaching 57(4):205–210.Crossref, Google Scholar
- (2008) Persistence, engagement, and migration in engineering programs. J. Engrg. Ed. 97(3):259–278.Crossref, Google Scholar
- (1992) Teachers’ beliefs and educational research: Cleaning up a messy construct. Rev. Ed. Res. 62(3):307–332.Crossref, Google Scholar
- (2002) Qualitative Research and Evaluation Methods, 3rd ed. (Sage, Thousand Oaks, CA).Google Scholar
- (2005) Students’ attitudes count. Ed. Leadership 62(6):84–85.Google Scholar
- (2012) Engineering attrition and university retention. Amer. Soc. Engrg. Ed. Annual Conf., San Antonio, Texas.Google Scholar
- (2004) Placing motivations and future time perspective theory in a temporal perspective. Ed. Psych. Rev. 16(2):121–139.Crossref, Google Scholar
- (2009) Microsoft Excel software usage for teaching science and engineering curriculum. J. Ed. Tech. Systems 37(4):405–417.Crossref, Google Scholar
- (2010) Teaching retail operations in business and engineering schools. INFORMS Trans. Ed. 11(1):29–34.Link, Google Scholar
- (2015) Business analytics curriculum for undergraduate majors. INFORMS Trans. Ed. 15(2):180–187.Link, Google Scholar

