Online, Interactive Modules Improve Quantitative Skills in Community College Biology Students | springerprofessional.de Skip to main content
Top

Hint

Swipe to navigate through the articles of this issue

23-01-2023

Online, Interactive Modules Improve Quantitative Skills in Community College Biology Students

Authors: Katerina V. Thompson, Kären C. Nelson, James Sniezek, Gili Marbach-Ad

Published in: Journal of Science Education and Technology

Login to get access
share
SHARE

Abstract

Introductory courses in biology often lack sufficient emphasis on quantitative skills and interdisciplinary problem solving, leaving many students unprepared for more advanced biology coursework and hampering their ability to pursue biology research careers. MathBench Biology Modules were created to enhance the quantitative skills of biology students by leveraging the unique advantages of the online environment (e.g., self-pacing, opportunities for practice, and immediate, individualized feedback). Using a pre-/post-design, we tested the ability of MathBench modules to improve student quantitative skills and their attitudes towards the integration of math and biology in a community college introductory biology course, where instructors face multiple challenges to integrating quantitative content. Ten sections of the course incorporated MathBench into laboratory and lecture content (MathBench group, N = 124 students), while five sections covered the same laboratory and lecture content without MathBench (comparison group, N = 31 students). On average, students who used MathBench experienced gains in their quantitative skills, while those in the comparison group did not. For students with the lowest level of preparation in math, using MathBench was associated with improvements in quantitative skill only if they were concurrently enrolled in a math class. Neither group of students demonstrated changes over the semester in their attitudes towards the integration of math and biology. Qualitative data indicated that MathBench group students could identify multiple aspects of how MathBench contributed to their learning, including providing new content, alternative approaches to learning, and additional opportunities to practice new skills. Our work demonstrates how learner-centered technologies can be used effectively to supplement traditional instruction in the community college context.

To get access to this content you need the following product:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 69.000 Bücher
  • über 500 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt 90 Tage mit der neuen Mini-Lizenz testen!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 50.000 Bücher
  • über 380 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe



 


Jetzt 90 Tage mit der neuen Mini-Lizenz testen!

Literature
go back to reference Aikens, M. L., Eaton, C. D., & Hightower, H. C. (2021). The case for biocalculus: Improving student understanding of the utility value of mathematics and affect toward mathematics. CBE – Life Sciences Education, 20(1), 1–14. Aikens, M. L., Eaton, C. D., & Hightower, H. C. (2021). The case for biocalculus: Improving student understanding of the utility value of mathematics and affect toward mathematics. CBE – Life Sciences Education, 20(1), 1–14.
go back to reference American Association for the Advancement of Science. (2011). Vision and change in undergraduate biology education: A call to action . American Association for the Advancement of Science. American Association for the Advancement of Science. (2011). Vision and change in undergraduate biology education: A call to action . American Association for the Advancement of Science.
go back to reference American Association for the Advancement of Science. (2015). Vision and change in undergraduate biology education: Chronicling change, inspiring the future . American Association for the Advancement of Science. American Association for the Advancement of Science. (2015). Vision and change in undergraduate biology education: Chronicling change, inspiring the future . American Association for the Advancement of Science.
go back to reference Andrews, S. E., & Aikens, M. L. (2018). Life science majors’ math-biology task values relate to student characteristics and predict the likelihood of taking quantitative biology courses. Journal of Microbiology & Biology Education, 19(2), 19–22. CrossRef Andrews, S. E., & Aikens, M. L. (2018). Life science majors’ math-biology task values relate to student characteristics and predict the likelihood of taking quantitative biology courses. Journal of Microbiology & Biology Education, 19(2), 19–22. CrossRef
go back to reference Ashcraft, M. H., & Krause, J. A. (2007). Working memory, math performance, and math anxiety. Psychonomic Bulletin & Review, 14(2), 243–248. CrossRef Ashcraft, M. H., & Krause, J. A. (2007). Working memory, math performance, and math anxiety. Psychonomic Bulletin & Review, 14(2), 243–248. CrossRef
go back to reference Atkinson, R. K., Mayer, R. E., & Merrill, M. M. (2005). Fostering social agency in multimedia learning: Examining the impact of an animated agent’s voice. Contemporary Educational Psychology, 30(1), 117–139. CrossRef Atkinson, R. K., Mayer, R. E., & Merrill, M. M. (2005). Fostering social agency in multimedia learning: Examining the impact of an animated agent’s voice. Contemporary Educational Psychology, 30(1), 117–139. CrossRef
go back to reference Betz, N. E. (1978). Prevalence, distribution, and correlates of math anxiety in college students. Journal of Counseling Psychology, 25(5), 441. CrossRef Betz, N. E. (1978). Prevalence, distribution, and correlates of math anxiety in college students. Journal of Counseling Psychology, 25(5), 441. CrossRef
go back to reference Boud, D., Lawson, R., & Thompson, D. G. (2013). Does student engagement in self-assessment calibrate their judgement over time? Assessment & Evaluation in Higher Education, 38(8), 941–956. CrossRef Boud, D., Lawson, R., & Thompson, D. G. (2013). Does student engagement in self-assessment calibrate their judgement over time? Assessment & Evaluation in Higher Education, 38(8), 941–956. CrossRef
go back to reference Brasier, D. J., Melville, M., Hershock, C., & Rule, G. (2019). Pairing practice and feedback with animations optimizes student learning in online module. Journal of Computer Assisted Learning, 35(6), 782–793. CrossRef Brasier, D. J., Melville, M., Hershock, C., & Rule, G. (2019). Pairing practice and feedback with animations optimizes student learning in online module. Journal of Computer Assisted Learning, 35(6), 782–793. CrossRef
go back to reference Chen, X. (2016). Remedial coursetaking at U.S. public 2- and 4-year institutions: Scope, experiences, and outcomes (NCES 2016–405). National Center for Education Statistics. Chen, X. (2016). Remedial coursetaking at U.S. public 2- and 4-year institutions: Scope, experiences, and outcomes (NCES 2016–405). National Center for Education Statistics.
go back to reference Chen, M. M., Scott, S. M., & Stevens, J. D. (2018). Technology as a tool in teaching quantitative biology at the secondary and undergraduate levels: A review. Letters in Biomathematics, 5(1), 30. CrossRef Chen, M. M., Scott, S. M., & Stevens, J. D. (2018). Technology as a tool in teaching quantitative biology at the secondary and undergraduate levels: A review. Letters in Biomathematics, 5(1), 30. CrossRef
go back to reference Clark, R. C., & Mayer, R. E. (2008). E-learning and the science of instruction (2nd ed.). Pfeiffer. Clark, R. C., & Mayer, R. E. (2008). E-learning and the science of instruction (2nd ed.). Pfeiffer.
go back to reference Corwin, L. A., Kiser, S., LoRe, S. M., Miller, J. M., & Aikens, M. L. (2019). Community college instructors’ perceptions of constraints and affordances related to teaching quantitative biology skills and concepts. CBE—Life Sciences Education, 18(4), ar64. Corwin, L. A., Kiser, S., LoRe, S. M., Miller, J. M., & Aikens, M. L. (2019). Community college instructors’ perceptions of constraints and affordances related to teaching quantitative biology skills and concepts. CBE—Life Sciences Education, 18(4), ar64.
go back to reference Dethier, L. E. (2014). Assessing the potential to improve the basic quantitative skills of undergraduate biology students (Unpublished master’s thesis). Western Washington University. Dethier, L. E. (2014). Assessing the potential to improve the basic quantitative skills of undergraduate biology students (Unpublished master’s thesis). Western Washington University.
go back to reference Eccles, J., Adler, T. F., Futterman, R., Goff, S. B., Kaczala, C. M., Meece, J. L., & Midgley, C. (1983). Expectancies, values, and academic behaviors. In J. T. Spence (Ed.), Achievement and achievement approaches (pp. 74–146). Freeman. Eccles, J., Adler, T. F., Futterman, R., Goff, S. B., Kaczala, C. M., Meece, J. L., & Midgley, C. (1983). Expectancies, values, and academic behaviors. In J. T. Spence (Ed.), Achievement and achievement approaches (pp. 74–146). Freeman.
go back to reference Flanagan, K. M., & Einarson, J. (2017). Gender, math confidence, and grit: Relationships with quantitative skills and performance in an undergraduate biology course. CBE—Life Sciences Education, 16(3), ar47. Flanagan, K. M., & Einarson, J. (2017). Gender, math confidence, and grit: Relationships with quantitative skills and performance in an undergraduate biology course. CBE—Life Sciences Education, 16(3), ar47.
go back to reference Feser, J., Vasaly, H., & Herrera, J. (2013). On the edge of mathematics and biology integration: improving quantitative skills in undergraduate biology education. CBE—Life Sciences Education, 12(2), 124–128. Feser, J., Vasaly, H., & Herrera, J. (2013). On the edge of mathematics and biology integration: improving quantitative skills in undergraduate biology education. CBE—Life Sciences Education, 12(2), 124–128.
go back to reference Goff, E. E., Reindl, K. M., Johnson, C., McClean, P., Offerdahl, E. G., Schroeder, N. L., & White, A. R. (2017). Efficacy of a meiosis learning module developed for the virtual cell animation collection. CBE—Life Sciences Education, 16(1), ar9. Goff, E. E., Reindl, K. M., Johnson, C., McClean, P., Offerdahl, E. G., Schroeder, N. L., & White, A. R. (2017). Efficacy of a meiosis learning module developed for the virtual cell animation collection. CBE—Life Sciences Education, 16(1), ar9.
go back to reference Goff, E. E., Reindl, K. M., Johnson, C., McClean, P., Offerdahl, E. G., Schroeder, N. L., & White, A. R. (2018). Investigation of a stand-alone online learning module for cellular respiration instruction. Journal of Microbiology & Biology Education, 19(2), 19–22. CrossRef Goff, E. E., Reindl, K. M., Johnson, C., McClean, P., Offerdahl, E. G., Schroeder, N. L., & White, A. R. (2018). Investigation of a stand-alone online learning module for cellular respiration instruction. Journal of Microbiology & Biology Education, 19(2), 19–22. CrossRef
go back to reference Gross, L. J. (2004). Interdisciplinarity and the undergraduate biology curriculum: Finding a balance. Cell Biology Education, 3, 85–87. CrossRef Gross, L. J. (2004). Interdisciplinarity and the undergraduate biology curriculum: Finding a balance. Cell Biology Education, 3, 85–87. CrossRef
go back to reference Gyamfi, G., Hanna, B. E., & Khosravi, H. (2022). The effects of rubrics on evaluative judgement: A randomised controlled experiment. Assessment & Evaluation in Higher Education, 47(1), 126–143. CrossRef Gyamfi, G., Hanna, B. E., & Khosravi, H. (2022). The effects of rubrics on evaluative judgement: A randomised controlled experiment. Assessment & Evaluation in Higher Education, 47(1), 126–143. CrossRef
go back to reference Hart Research Associates. (2015). Falling short? Association of American Colleges and Universities. Hart Research Associates. (2015). Falling short? Association of American Colleges and Universities.
go back to reference Hester, S., Buxner, S., Elfring, L., & Nagy, L. (2014). Integrating quantitative thinking into an introductory biology course improves students’ mathematical reasoning in biological contexts. CBE—Life Sciences Education, 13(1), 54–64. Hester, S., Buxner, S., Elfring, L., & Nagy, L. (2014). Integrating quantitative thinking into an introductory biology course improves students’ mathematical reasoning in biological contexts. CBE—Life Sciences Education, 13(1), 54–64.
go back to reference Holmberg, T. J., Gusky, S., Kiser, S., Karpakakunjaram, V., Seitz, H., Fletcher, L., Fields, L., Nenortas, A., Corless, A., & Marcos, K. (2021). Biology educators, professional societies, and practitioner networks within community colleges. New Dir for Community Coll., 2021, 15–28. CrossRef Holmberg, T. J., Gusky, S., Kiser, S., Karpakakunjaram, V., Seitz, H., Fletcher, L., Fields, L., Nenortas, A., Corless, A., & Marcos, K. (2021). Biology educators, professional societies, and practitioner networks within community colleges. New Dir for Community Coll., 2021, 15–28. CrossRef
go back to reference Hoy, R. (2004). New math for biology is the old new math. Cell Biology Education, 3, 90–92. CrossRef Hoy, R. (2004). New math for biology is the old new math. Cell Biology Education, 3, 90–92. CrossRef
go back to reference Indorf, J. L., Benabentos, R., Daubenmire, P., Murasko, D., Hazari, Z., Potvin, G., & Stanford, J. S. (2021). Distinct factors predict use of active learning techniques by pre-tenure and tenured STEM faculty. Journal of Geoscience Education, 69(4), 357–372. CrossRef Indorf, J. L., Benabentos, R., Daubenmire, P., Murasko, D., Hazari, Z., Potvin, G., & Stanford, J. S. (2021). Distinct factors predict use of active learning techniques by pre-tenure and tenured STEM faculty. Journal of Geoscience Education, 69(4), 357–372. CrossRef
go back to reference Jameson, M. M., & Fusco, B. R. (2014). Math anxiety, math self-concept, and math self-efficacy in adult learners compared to traditional undergraduate students. Adult Education Quarterly, 64(4), 306–322. CrossRef Jameson, M. M., & Fusco, B. R. (2014). Math anxiety, math self-concept, and math self-efficacy in adult learners compared to traditional undergraduate students. Adult Education Quarterly, 64(4), 306–322. CrossRef
go back to reference Karsai, I., Thompson, K. V., & Nelson, K. C. (2015). Modeling and simulation: Helping students acquire this skill using Stock and Flow approach with MathBench. Letters in Biomathematics, 2(1), 1–12. CrossRef Karsai, I., Thompson, K. V., & Nelson, K. C. (2015). Modeling and simulation: Helping students acquire this skill using Stock and Flow approach with MathBench. Letters in Biomathematics, 2(1), 1–12. CrossRef
go back to reference Koenig, J. (2011). A survey of the mathematics landscape within biosciences undergraduate and postgraduate UK higher education. UK Center for Bioscience. Koenig, J. (2011). A survey of the mathematics landscape within biosciences undergraduate and postgraduate UK higher education. UK Center for Bioscience.
go back to reference LeBard, R. J., Thompson, R., & Quinnell, R. (2014). Quantitative skills and complexity: How can we combat these challenges and equip undergraduate students to think and practice as biologists? International Journal of Innovation in Science and Mathematics Education, 22(3), 1–14. LeBard, R. J., Thompson, R., & Quinnell, R. (2014). Quantitative skills and complexity: How can we combat these challenges and equip undergraduate students to think and practice as biologists? International Journal of Innovation in Science and Mathematics Education, 22(3), 1–14.
go back to reference Llamas, A., Vila, F., & Sanz, A. (2012). Mathematical skills in undergraduate students. A ten-year survey of a plant physiology course. Biosci Educ, 19, 1–10. CrossRef Llamas, A., Vila, F., & Sanz, A. (2012). Mathematical skills in undergraduate students. A ten-year survey of a plant physiology course. Biosci Educ, 19, 1–10. CrossRef
go back to reference Marsteller, P., de Pillis, L., Findley, A., Joplin, K., Pelesko, J., Nelson, K., & Watkins, J. (2010). Toward integration: From quantitative biology to math bio-biomath? CBE—Life Sciences Education, 9(3) , 165–171. Marsteller, P., de Pillis, L., Findley, A., Joplin, K., Pelesko, J., Nelson, K., & Watkins, J. (2010). Toward integration: From quantitative biology to math bio-biomath? CBE—Life Sciences Education, 9(3) , 165–171.
go back to reference Matthews, K. E., Hodgson, Y., & Varsavsky, C. (2013). Factors influencing students’ perceptions of their quantitative skills. International Journal of Mathematical Education in Science and Technology, 44(6), 782–795. CrossRef Matthews, K. E., Hodgson, Y., & Varsavsky, C. (2013). Factors influencing students’ perceptions of their quantitative skills. International Journal of Mathematical Education in Science and Technology, 44(6), 782–795. CrossRef
go back to reference Mayer, R. E. (2008). Learning and instruction (2nd ed.). Upper Saddle River, NJ. Mayer, R. E. (2008). Learning and instruction (2nd ed.). Upper Saddle River, NJ.
go back to reference McLeod, D. B. (1992). Research on affect in mathematics education: A reconceptualization. In D. A. Grouws (Ed.), Handbook of research on mathematics teaching and learning: A project of the National Council of Teachers of Mathematics (pp. 575–596). Macmillan Publishing Co Inc. McLeod, D. B. (1992). Research on affect in mathematics education: A reconceptualization. In D. A. Grouws (Ed.), Handbook of research on mathematics teaching and learning: A project of the National Council of Teachers of Mathematics (pp. 575–596). Macmillan Publishing Co Inc.
go back to reference Moreno, R., & Mayer, R. E. (2000). Engaging students in active learning: The case for personalized multimedia messages. Journal of Educational Psychology, 92(4), 724. CrossRef Moreno, R., & Mayer, R. E. (2000). Engaging students in active learning: The case for personalized multimedia messages. Journal of Educational Psychology, 92(4), 724. CrossRef
go back to reference National Research Council. (2003). BIO2010: Transforming undergraduate education for future research biologists. National Research Council. (2003). BIO2010: Transforming undergraduate education for future research biologists.
go back to reference National Research Council. (2009). A new biology for the 21st century. National Research Council. (2009). A new biology for the 21st century.
go back to reference Nelson, K. C., Marbach-Ad, G., Schneider, K., Thompson, K. V., Shields, P. A., & Fagan, W. F. (2009). MathBench biology modules. Journal of College Science Teaching, 38, 34–39. Nelson, K. C., Marbach-Ad, G., Schneider, K., Thompson, K. V., Shields, P. A., & Fagan, W. F. (2009). MathBench biology modules. Journal of College Science Teaching, 38, 34–39.
go back to reference Öhrstedt, M. (2018). First-semester students’ capacity to predict academic achievement as related to approaches to learning. Journal of Further and Higher Education, 43(2), 1–13. Öhrstedt, M. (2018). First-semester students’ capacity to predict academic achievement as related to approaches to learning. Journal of Further and Higher Education, 43(2), 1–13.
go back to reference Pajares, F., & Miller, M. D. (1994). Role of self-efficacy and self-concept beliefs in mathematical problem solving: A path analysis. Journal of Educational Psychology, 86(2), 193. CrossRef Pajares, F., & Miller, M. D. (1994). Role of self-efficacy and self-concept beliefs in mathematical problem solving: A path analysis. Journal of Educational Psychology, 86(2), 193. CrossRef
go back to reference Quinnell, R., Thompson, R., & LeBard, R. (2012). Academic numeracy in life science learning: Challenging perceptions. In Inaugural STEM Annual Conference; April 12–13; Imperial College. London: The UK Higher Education Academy. Quinnell, R., Thompson, R., & LeBard, R. (2012). Academic numeracy in life science learning: Challenging perceptions. In Inaugural STEM Annual Conference; April 12–13; Imperial College. London: The UK Higher Education Academy.
go back to reference Reed, S. K. (1985). Effect of computer graphics on improving estimates to algebra word problems. Journal of Educational Psychology, 77(3), 285. CrossRef Reed, S. K. (1985). Effect of computer graphics on improving estimates to algebra word problems. Journal of Educational Psychology, 77(3), 285. CrossRef
go back to reference Sadler, P. M., & Tai, R. H. (2007). The two high-school pillars supporting college science. Science, 317(5837), 457–458. CrossRef Sadler, P. M., & Tai, R. H. (2007). The two high-school pillars supporting college science. Science, 317(5837), 457–458. CrossRef
go back to reference Saldaña, J. (2015). The coding manual for qualitative researchers. Sage. Saldaña, J. (2015). The coding manual for qualitative researchers. Sage.
go back to reference Scott, F. J. (2016). An investigation into students’ difficulties in numerical problem solving questions in high school biology using a numeracy framework. European Journal of Science and Mathematics Education, 4(2), 115–128. CrossRef Scott, F. J. (2016). An investigation into students’ difficulties in numerical problem solving questions in high school biology using a numeracy framework. European Journal of Science and Mathematics Education, 4(2), 115–128. CrossRef
go back to reference Tariq, F. N. (2005). Introduction and Evaluation of peer-assisted learning in first-year undergraduate bioscience. Bioscience Education, 6(1), 1–19. Tariq, F. N. (2005). Introduction and Evaluation of peer-assisted learning in first-year undergraduate bioscience. Bioscience Education, 6(1), 1–19.
go back to reference Thompson, K. V., Cooke, T. J., Fagan, W. F., Gulick, D., Levy, D., Nelson, K. C., & Presson, J. (2013). Infusing quantitative approaches throughout the biological sciences curriculum. International Journal of Mathematical Education in Science and Technology, 44(6), 817–833. CrossRef Thompson, K. V., Cooke, T. J., Fagan, W. F., Gulick, D., Levy, D., Nelson, K. C., & Presson, J. (2013). Infusing quantitative approaches throughout the biological sciences curriculum. International Journal of Mathematical Education in Science and Technology, 44(6), 817–833. CrossRef
go back to reference Thompson, K. V., Nelson, K. C., Marbach-Ad, G., Keller, M., & Fagan, W. F. (2010). Online interactive teaching modules enhance quantitative proficiency of introductory biology students. CBE—Life Sciences Education, 9(3), 277–283. Thompson, K. V., Nelson, K. C., Marbach-Ad, G., Keller, M., & Fagan, W. F. (2010). Online interactive teaching modules enhance quantitative proficiency of introductory biology students. CBE—Life Sciences Education, 9(3), 277–283.
go back to reference Tversky, B., Morrison, J. B., & Betrancourt, M. (2002). Animation: Can it facilitate? International Journal of Human-Computer Studies, 57(4), 247–262. CrossRef Tversky, B., Morrison, J. B., & Betrancourt, M. (2002). Animation: Can it facilitate? International Journal of Human-Computer Studies, 57(4), 247–262. CrossRef
go back to reference Wachsmuth, L. P., Runyon, C. R., Drake, J. M., & Dolan, E. L. (2017). Do biology students really hate math? Empirical insights into undergraduate life science majors’ emotions about mathematics. CBE—Life Sciences Education, 16(3), ar49. Wachsmuth, L. P., Runyon, C. R., Drake, J. M., & Dolan, E. L. (2017). Do biology students really hate math? Empirical insights into undergraduate life science majors’ emotions about mathematics. CBE—Life Sciences Education, 16(3), ar49.
go back to reference Wender, K. F., & Muehlboeck, J. (2003). Animated diagrams in teaching statistics. Behavior Research Methods, Instruments, & Computers, 35(2), 255–258. CrossRef Wender, K. F., & Muehlboeck, J. (2003). Animated diagrams in teaching statistics. Behavior Research Methods, Instruments, & Computers, 35(2), 255–258. CrossRef
go back to reference Williams, K. R., Wasson, S. R., Barrett, A., Greenall, R. F., Jones, S. R., & Bailey, E. G. (2021). Teaching Hardy-Weinberg equilibrium using population-level Punnett squares: Facilitating calculation for students with math anxiety. CBE—Life Sciences Education, 20(2), ar22. Williams, K. R., Wasson, S. R., Barrett, A., Greenall, R. F., Jones, S. R., & Bailey, E. G. (2021). Teaching Hardy-Weinberg equilibrium using population-level Punnett squares: Facilitating calculation for students with math anxiety. CBE—Life Sciences Education, 20(2), ar22.
go back to reference Wolff, B. G., Wood-Kustanowitz, A. M., & Ashkenazi, J. M. (2014). Student performance at a community college: Mode of delivery, employment, and academic skills as predictors of success. Journal of Online Learning and Teaching, 10(2). Wolff, B. G., Wood-Kustanowitz, A. M., & Ashkenazi, J. M. (2014). Student performance at a community college: Mode of delivery, employment, and academic skills as predictors of success. Journal of Online Learning and Teaching, 10(2).
go back to reference Yang, S., Hazlehurst, J., & Taniguchi, D. A. A. (2021). Cats teach stats: An interactive module to help reduce anxiety when learning statistics in biology. The American Biology Teacher, 83(8), 542–544. CrossRef Yang, S., Hazlehurst, J., & Taniguchi, D. A. A. (2021). Cats teach stats: An interactive module to help reduce anxiety when learning statistics in biology. The American Biology Teacher, 83(8), 542–544. CrossRef
Metadata
Title
Online, Interactive Modules Improve Quantitative Skills in Community College Biology Students
Authors
Katerina V. Thompson
Kären C. Nelson
James Sniezek
Gili Marbach-Ad
Publication date
23-01-2023
Publisher
Springer Netherlands
Published in
Journal of Science Education and Technology
Print ISSN: 1059-0145
Electronic ISSN: 1573-1839
DOI
https://doi.org/10.1007/s10956-022-10020-1

Premium Partners