Abstract
Self-efficacy has a strong influence on the learning and motivation of science students at the postsecondary level, especially in upper division science classes, which are key to student success in science majors. This empirical mixed methods research study (N = 205) examines the associations between students’ participation in an online preparation course and student self-efficacy in organic chemistry. Qualitative content analysis indicated that students benefited from the online preparatory course in the subsequent organic chemistry course series. The analysis of students’ clickstream data indicated that students with self-efficacy ratings in the top 10th percentile exhibited more frequent and consistent engagement with relevant course materials compared to students in the bottom 10th percentile. Notably, linear regression models indicated that participation in the online preparatory course was associated with higher long-term self-efficacy for first-generation college students. These results suggest that online preparatory courses may benefit some students’ self-efficacy in demanding science courses.
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References
Allen-Ramdial, S. A. A., & Campbell, A. G. (2014). Reimagining the pipeline: Advancing STEM diversity, persistence, and success. BioScience, 64(7), 612–618.
Andrew, S. (1998). Self-efficacy as a predictor of academic performance in science. Journal of Advanced Nursing, 27(3), 596–603. https://doi.org/10.1046/j.1365-2648.1998.00550.x.
Bandura, A. (1971). Social learning theory. New York: General Learning Press.
Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191–215.
Bandura, A. (1986). The explanatory and predictive scope of self-efficacy theory. Journal of Social and Clinical Psychology, 4(3), 359–373. https://doi.org/10.1521/jscp.1986.4.3.359.
Bandura, A. (1993). Perceived self-efficacy in cognitive development and functioning. Educational Psychologist, 28(2), 117–148. https://doi.org/10.1207/s15326985ep2802_3.
Bandura, A. (1997). Self efficacy: The exercise of control. New York: W.H. Freeman.
Bandura, A. (1999). Social cognitive theory: An agentic perspective. Asian Journal of Social Psychology, 2(1), 21–41.
Bandura, A. (2006). Guide for constructing self-efficacy scales. In Self-efficacy beliefs of adolescents.
Bandura, A. (2011). Social cognitive theory. In P. A. M. Van Lange, A. W. Kruglanski, & E. T. Higgins (Eds.), Handbook of social psychological theories (pp. 349–373). London: SAGE.
Bankel, J., Berggren, K.-F., Engström, M., Wiklund, I., Crawley, E. F., Soderholm, D., et al. (2005). Benchmarking engineering curricula with the CDIO syllabus*. International Journal of Engineering Education, 21(1), 121–133.
Barr, D. A., Matsui, J., Wanat, S. F., & Gonzalez, M. E. (2010). Chemistry courses as the turning point for premedical students. Advances in Health Sciences Education : Theory and Practice, 15(1), 45–54.
Black, A. E., & Deci, E. L. (2000). The effects of instructors’ autonomy support and students’ autonomous motivation on learning organic chemistry: A self-determination theory perspective. Science Education, 84(6), 740–756. https://doi.org/10.1002/1098-237X%28200011%2984%3A6%3C740%3A%3AAID-SCE4%3E3.0.CO%3B2-3.
Chaytor, J. L., Al Mughalaq, M., & Butler, H. (2017). Development and use of online prelaboratory activities in organic chemistry to improve students’ laboratory experience. Journal of Chemical Education, 94(7), 859–866. https://doi.org/10.1021/acs.jchemed.6b00850.
Cheema, J. R. (2014). A review of missing data handling methods in education research. Review of Educational Research, 84(4), 487–508.
Chen, X. (2013). STEM attrition: College students’ paths into and out of STEM fields. National Center for Education Statistics, 1(1), 1–49.
Cicchinelli, A., Veas, E., Pardo, A., Pammer-Schindler, V., Fessl, A., Barreiros, C., et al. (2018). Finding traces of self-regulated learning in activity streams. In Proceedings of the 8th international conference on learning analytics and knowledge—LAK’18, 191–200. Retrieved from http://dl.acm.org/citation.cfm?doid=3170358.3170381.
Daymont, T., Blau, G., & Campbell, D. (2011). Deciding between traditional and online formats: Exploring the role of learning advantages, flexibility, and compensatory adaptation. Journal of Behavioral and Applied Management, 12, 156–175.
de Sanabia, J. A. (1993). Relative atomic mass and the mole: A concrete analogy to help students understand these abstract concepts. Journal of Chemical Education, 70(3), 233–234. https://doi.org/10.1021/ed070p233.
Dori, Y. J., Barak, M., & Adir, N. (2003). A Web-based chemistry course as a means to foster freshmen learning. Journal of Chemical Education, 80(9), 1084–1092. https://doi.org/10.1021/ed080p1084.
Elias, S. M., & MacDonald, S. (2007). Using past performance, proxy efficacy, and academic self-efficacy to predict college performance. Journal of Applied Social Psychology, 37(1), 2518–2531.
Fischer, C., Eisenkraft, A., Fishman, B., Hübner, N., & Lawrenz, F. (2018). Adapting to the large-scale Advanced Placement Chemistry reform: An examination of teachers’ challenges and instructional practices. Journal of Chemical Education, 95(10), 1701–1710. https://doi.org/10.1021/acs.jchemed.8b00151.
Fischer, C., Xu, D., Rodriguez, F., Denaro, K., & Warschauer, M. (2019). Effects of course modality in summer session: Enrollment patterns and student performance in face-to-face and online classes. The Internet and Higher Education. https://doi.org/10.1016/j.iheduc.2019.100710
Fischer, C., Zhou, N., Rodriguez, F., Warschauer, M., & King, S. (2019). Improving college student success in organic chemistry: Impact of an online preparatory course. Journal of Chemical Education, 96(5), 857–864. https://doi.org/10.1021/acs.jchemed.8b0100.
Flynn, A. B. (2015). Structure and evaluation of flipped chemistry courses: Organic & spectroscopy, large and small, first to third year, English and French. Chemistry Education Research and Practice, 16(2), 198–211.
Graham, J. W. (2009). Missing data analysis: Making it work in the real world. Annual Review of Psychology, 60(1), 549–576.
Hirschheim, R. (2005). The internet-based education bandwagon: Look before you leap. Communications of the ACM - Designing for the Mobile Device, 48(7), 97–101.
Horowitz, G., Rabin, L. A., & Brodale, D. L. (2013). Improving student performance in organic chemistry: Help seeking behaviors and prior chemistry aptitude. Journal of the Scholarship of Teaching and Learning, 13, 120–133.
Hsieh, H. F., & Shannon, S. E. (2005). Three approaches to qualitative content analysis. Qualitative Health Research, 15(9), 1277–1288. https://doi.org/10.1177/1049732305276687.
Hutchison, M. A., Follman, D. K., Sumpter, M., & Bodner, G. M. (2006). Factors influencing the self-efficacy beliefs of first-year engineering students. Journal of Engineering Education, 95(1), 39–47. https://doi.org/10.1002/j.2168-9830.2006.tb00876.x.
Jong, O. De, Van Driel, J. H., & Verloop, N. (2005). Preservice teachers’ pedagogical content knowledge of using particle models in teaching chemistry. Journal of Research in Science Teaching, 42(1), 947–964. https://doi.org/10.1002/tea.20078.
Karpicke, J. D., & Roediger, H. L. (2007). Expanding retrieval practice promotes short-term retention, but equally spaced retrieval enhances long-term retention. Journal of Experimental Psychology. Learning, Memory, and Cognition, 33(4), 704–719.
Khourey-Bowers, C., & Simonis, D. G. (2004). Longitudinal study of middle grades chemistry professional development: Enhancement of personal science teaching self-efficacy and outcome expectancy. Journal of Science Teacher Education, 15, 175–195.
Krippendorff, K. (2004). Content analysis: An introduction to its methodology (2nd ed.). Thousand Oaks, CA: SAGE Publications.
Marchese, A. J., Ramachandran, R. P., Hesketh, R. P., Schmalzel, J. L., & Newell, H. L. (2003). The competitive assessment laboratory: Introducing engineering design via consumer product benchmarking. IEEE Transactions on Education, 46(1), 197–205.
Montgomery, D. C., Peck, E. A., & Vining, G. G. (2013). Introduction to linear regression analysis (5th ed.). International Statistical Review, 81(2), 1–3.
Noftle, E. E., & Robins, R. W. (2007). Personality predictors of academic outcomes: Big five correlates of GPA and SAT scores. Journal of Personality and Social Psychology, 93(1), 116–130.
Park, Y., & Sung, J. (2017). Exploring online learning profiles of in-service teachers in a professional development course. Educational Technology International, 18(2), 193–213.
Park, J., Yu, R., Rodriguez, F., Baker, R., Smyth, P., & Warschauer, M. (2018). Understanding student procrastination via mixture models. In Proceedings of the 11th international conference on educational data mining, 187–197.
Qi, J., & Reid, B. (2017). Analytics in instructional design: Learner content access analytics. Retrieved August 29, 2018, from https://sites.dartmouth.edu/learninganalytics/2017/01/09/canvas-content-access-analytics/.
Roby, D. E. (2003). 4 Research on school attendance and student achievement: A study of Ohio schools. Educational Research Quarterly, 28, 3–16.
Rodriguez, F., Kataoka, S., Janet Rivas, M., Kadandale, P., Nili, A., & Warschauer, M. (2018). Do spacing and self-testing predict learning outcomes? Active Learning in Higher Education. https://doi.org/10.1177/1469787418774185.
Rodriguez, F., Yu, R., Park, J., Rivas, M. J., Warschauer, M., & Sato, B. K. (2019). Utilizing learning analytics to map students’ self-reported study strategies to click behaviors in STEM courses. In Proceedings of the 9th international conference on learning analytics & knowledge (pp. 456–460). ACM.
Santos, J. R. A. (1999). Cronbach’s alpha: A tool for assessing the reliability of scales. Journal of Extension, 37(2), 1–5.
Schmitt, N. (1996). Uses and abuses of coefficient alpha. Psychological Assessment, 8(4), 350–353.
Schunk, D. H., & Meece, J. L. (2006). Self-efficacy development in adolescence. Self-Efficacy Beliefs of Adolescents, 5, 71–96.
Schunk, D. H., & Usher, E. L. (2012). Social cognitive theory. In R. M. Ryan (Ed.), The Oxford handbook of human motivation (Vol. 1). Oxford: Oxford University Press.
Snyder, T. D., de Brey, C., & Dillow, S. A. (2016). Digest of Education Statistics 2015, 51st Edition. NCES 2016-014. National Center for Education Statistics.
Subotnik, R. F., Tai, R. H., Rickoff, R., & Almarode, J. (2009). Specialized public high schools of science, mathematics, and technology and the STEM pipeline: What do we know now and what will we know in 5 years? Roeper Review, 32(1), 7–16.
Szu, E., Nandagopal, K., Shavelson, R. J., Lopez, E. J., Penn, J. H., Scharberg, M., et al. (2011). Understanding academic performance in organic chemistry. Journal of Chemical Education, 88(9), 1238–1242.
Tien, L. T., Roth, V., & Kampmeier, J. A. (2002). Implementation of a peer-led team learning instructional approach in an undergraduate organic chemistry course. Journal of Research in Science Teaching, 39(7), 606–632.
Twigg, C. A. (2003). Improving quality and reducing cost: Designs for effective learning. Change, 35(4), 22–29.
Uzuntiryaki, E., & Aydin, Y. Ç. (2009). Development and validation of chemistry self-efficacy scale for college students. Research in Science Education, 39(4), 539–551.
Visser, R., & Flynn, A. B. (2018). Designed for cognitive and metacognitive skill development? Collected Essays on Learning and Teaching, 11, 129–140.
Vuong, M., Brown-Welty, S., & Tracz, S. (2010). The effects of self-efficacy on academic success of first-generation college sophomore students. Journal of College Student Development, 51(1), 50–64.
Waschull, S. B. (2001). The online delivery of psychology courses: Attrition, performance, and evaluation. Teaching of Psychology, 28(2), 143–147.
Watson, J., & Gemin, B. (2008). Using online learning for at-risk students and credit recovery. Promising Practices in Online Learning, 1–16.
Zoller, U. (1990). Students’ misunderstandings and misconceptions in college freshman chemistry (general and organic). Journal of Research in Science Teaching, 27(1), 1053–1065.
Zusho, A., Pintrich, P. R., & Coppola, B. (2003). Skill and will: The role of motivation and cognition in the learning of college chemistry. International Journal of Science Education, 25(9), 1081–1094.
Acknowledgements
This work is supported by the National Science Foundation through the EHR Core Research Program (Award 1535300) and the UCI Teaching and Learning Research Center. Also, we would like to thank the student research assistants, Lizethe Arce, Andrea Marella and Yucheng Zhu, who contributed to the data coding of the qualitative part of the analysis. The views contained in this article are those of the authors and not of their institutions or the National Science Foundation.
Funding
Funding was provided by Directorate for Education and Human Resources (Grant No. 1535300).
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Appendix
Appendix
Please be aware that this is not a knowledge test, and that you are not expected to do everything listed here.
Remember, your answers will be kept strictly confidential. The instructor will not have access to your identity in your response to this survey.
Please rate your certainty that you could do the following tasks after taking the full year of organic chemistry ([first term organic chemistry class], [second term organic chemistry class], and [third term organic chemistry class]).
Scale: 1 = Cannot do at all 3 = Moderately can do 5 = Highly certain can do
1 | 2 | 3 | 4 | 5 | |
---|---|---|---|---|---|
1. I understand how structure affects reactivity in organic compounds | |||||
2. Given a condensed organic structure, I can correctly draw a Lewis structure including lone pairs and formal charges | |||||
3. Given an organic compound, I can give the hybridization of every atom, and describe the type of bond (sigma or pi) and the orbitals that overlap to make each bond | |||||
4. For a molecule that can be represented by more than one Lewis structure, I can draw multiple resonance structures | |||||
5. When drawing resonance structures, I can use curvy arrows to move from one resonance structure to the next | |||||
6. I can draw a hybrid structure for multiple resonance structures | |||||
7. I can predict electrophilic sites and nucleophilic sites in a molecule by looking at the hybrid structure | |||||
8. Given an acid and a base, I can predict the products of a Bronsted acid/base reaction, and I can use pKa’s to determine the direction of equilibrium | |||||
9. Given an alkyl halide plus a nucleophile, I can determine whether an SN1, SN2, E1, or E2 reaction will predominate | |||||
10. I can draw a mechanism for an SN1, SN2, E1, or E2 reaction | |||||
11. I can draw an energy diagram for an SN1, SN2, E1, or E2 reaction, and I can draw the structures of any transition states | |||||
12. Given a molecular formula, HNMR, CNMR and IR, I can determine a structure for many simple organic compounds | |||||
13. In the lab, I can run a simple organic reaction, isolate my product using a separatory funnel, and I can purify my product using recrystallization | |||||
14. I can write a laboratory report summarizing main findings | |||||
15. Given an energy diagram, I can label reactants, products, Ea, ΔH for each step and the overall reaction, and I can determine if it is an endothermic, exothermic, fast, or slow reaction | |||||
16. I can draw mechanisms for multistep reactions | |||||
17. I can propose a synthesis for a simple organic compound that can be made in 3 steps | |||||
18. I can propose a synthesis for a more complex organic compound that can be made in 4–6 steps | |||||
19. I can propose a synthesis for a compound that would require 7–10 steps | |||||
20. I can propose a mechanism for a multistep reaction that I have not seen before | |||||
21. I can understand the news/documentary/TV show that I watched on television related to chemistry | |||||
22. I can discuss organic chemistry using correct terminology and I can understand other students and the professor when they do the same |
Open ended question:
Did you take and finish the [online preparation class] prior to taking this year’s Organic Chemistry classes?
Yes_ No_
If yes, how would you describe the influence of the online preparation class on your learning in the Organic Chemistry classes (the first term class, the second term class, and the third term class)?
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Zhou, N., Fischer, C., Rodriguez, F. et al. Exploring how enrolling in an online organic chemistry preparation course relates to students’ self-efficacy. J Comput High Educ 32, 505–528 (2020). https://doi.org/10.1007/s12528-019-09244-9
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DOI: https://doi.org/10.1007/s12528-019-09244-9