The influence of active learning practices on student anxiety in large-enrollment college science classrooms

Katelyn M. Cooper1, Virginia R. Downing1, Sara E. Brownell1
1Biology Education Research Lab, School of Life Sciences, Arizona State University, PO Box 874501, Tempe, AZ, 85287-4501, USA

Tóm tắt

Từ khóa


Tài liệu tham khảo

Allen, M, Witt, PL, Wheeless, LR. (2006). The role of teacher immediacy as a motivational factor in student learning: using meta-analysis to test a causal model. Communication Education, 55(1), 21–31.

American Association for the Advancement of Science. (2015). Vision and change in undergraduate biology education: chronicling change, inspiring the future. A Report of the American Association for the Advancement of Science, Washington, DC.[Online.] Http://Visionandchange.Org .

American College Health Association (2017). American College Health Association National College Health Assessment Spring 2017 Reference Group Executive Summary, (p. 19). Hanover: Retrieved from http://www.acha-ncha.org/docs/NCHA-II_SPRING_2017_REFERENCE_GROUP_EXECUTIVE_SUMMARY.pdf . Accessed Jan 2018.

Anthis, K. (2011). Is it the clicker, or is it the question? Untangling the effects of student response system use. Teaching of Psychology, 38(3), 189–193.

Baker, C. (2010). The impact of instructor immediacy and presence for online student affective learning, cognition, and motivation. Journal of Educators Online, 7(1), n1.

Bamber, MD, & Schneider, JK. (2016). Mindfulness-based meditation to decrease stress and anxiety in college students: a narrative synthesis of the research. Educational Research Review, 18, 1–32.

Bell, BS, & Kozlowski, SW. (2008). Active learning: effects of core training design elements on self-regulatory processes, learning, and adaptability. Journal of Applied Psychology, 93(2), 296.

Bode, M, Drane, D, Kolikant, YB-D, Schuller, M. (2009). A clicker approach to teaching calculus. Notices of the AMS, 56(2), 253–256.

Bostani, M, Nadri, A, Nasab, AR. (2014). A study of the relation between mental health and academic performance of students of the Islamic Azad University Ahvaz branch. Procedia - Social and Behavioral Sciences, 116, 163–165.

Brainard, SG, & Carlin, L. (1998). A six-year longitudinal study of undergraduate women in engineering and science. Journal of Engineering Education, 87(4), 369–375.

Broeckelman-Post, M, Johnson, A, Schwebach, JR. (2016). Calling on students using notecards: engagement and countering communication anxiety in large lecture. Journal of College Science Teaching, 45(5), 27.

Brunner, M, Keller, U, Hornung, C, Reichert, M, Martin, R. (2009). The cross-cultural generalizability of a new structural model of academic self-concepts. Learning and Individual Differences, 19(4), 387–403.

Center for Collegiate Mental Health. (n.d..). Center for Collegiate Mental Health 2017 Annual Report. Penn State. Retrieved from http://ccmh.psu.edu/publications/ .

Chi, MT, Siler, SA, Jeong, H. (2004). Can tutors monitor students’ understanding accurately? Cognition and Instruction, 22(3), 363–387.

Cooper, KM, Ashley, M, Brownell, SE. (2017a). A bridge to active learning: a summer bridge program helps students maximize their active-learning experiences and the active-learning experiences of others. CBE Life Sciences Education, 16(1), ar17.

Cooper, KM, Ashley, M, Brownell, SE. (2018a). Breaking down barriers: a bridge program helps first-year biology students connect with faculty. Journal of College Science Teaching, 47(4), 60–70.

Cooper, K. M., & Brownell, S. E. (2016). Coming out in class: challenges and benefits of active learning in a biology classroom for LGBTQIA students. CBE Life Sciences Education, 15(3). https://doi.org/10.1187/cbe.16-01-0074 .

Cooper, KM, Ding, L, Stephens, MS, Chi, MT, Brownell, SE. (2018b). A course-embedded comparison of instructor-generated videos of either an instructor alone or an instructor and a student. CBE Life Sciences Education, 17, ar31.

Cooper, KM, Haney, B, Krieg, A, Brownell, SE. (2017b). What’s in a name? The importance of students perceiving that an instructor knows their names in a high-enrollment biology classroom. CBE Life Sciences Education, 16(1). https://doi.org/10.1187/cbe.16-08-0265 .

Cooper, KM, Krieg, A, Brownell, SE. (2018c). Who perceives they are smarter? Exploring the influence of student characteristics on student academic self-concept in physiology. Advances in Physiology Education, 42(2), 200–208.

Covington, MV. (1981). Strategies for smoking prevention and resistance among young adolescents. The Journal of Early Adolescence, 1(4), 349–356.

Covington, MV (1992). Making the grade: a self-worth perspective on motivation and school reform. New York: Cambridge University Press. https://doi.org/10.1017/CBO9781139173582 .

Crouch, CH, & Mazur, E. (2001). Peer instruction: ten years of experience and results. American Journal of Physics, 69(9), 970–977.

Culler, RE, & Holahan, CJ. (1980). Test anxiety and academic performance: the effects of study-related behaviors. Journal of Educational Psychology, 72(1), 16.

Dallaire, DH. (2011). Effective use of personal response “clicker” systems in psychology courses. Teaching of Psychology, 38(3), 199–204.

Dallimore, EJ, Hertenstein, JH, Platt, MB. (2013). Impact of cold-calling on student voluntary participation. Journal of Management Education, 37(3), 305–341.

Deshpande, SW, & Kawane, SD. (1982). Anxiety and serial verbal learning: a test of the Yerkes-Dodson law. Asian Journal of Psychology & Education 9(3), 18–23.

Dowaliby, F, & Schumer, H (1973). Teacher-centered versus student-centered mode of college classroom instruction as related to manifest anxiety. Journal of Educational Psychology, 64(2), 125–132.

Eddy, SL, Brownell, SE, Thummaphan, P, Lan, M-C, Wenderoth, MP. (2015a). Caution, student experience may vary: social identities impact a student’s experience in peer discussions. CBE Life Sciences Education, 14(4), ar45 https://doi.org/10.1187/cbe.15-05-0108 .

Eddy, SL, Brownell, SE, Wenderoth, MP. (2014). Gender gaps in achievement and participation in multiple introductory biology classrooms. CBE Life Sciences Education, 13(3), 478–492.

Eddy, SL, Converse, M, Wenderoth, MP. (2015b). PORTAAL: a classroom observation tool assessing evidence-based teaching practices for active learning in large science, technology, engineering, and mathematics classes. CBE Life Sciences Education, 14(2), ar23.

Elicker, JD, & McConnell, NL. (2011). Interactive learning in the classroom: Is student response method related to performance? Teaching of Psychology, 38(3), 147–150.

England, BJ, Brigati, JR, Schussler, EE. (2017). Student anxiety in introductory biology classrooms: perceptions about active learning and persistence in the major. PLoS One, 12(8), e0182506.

Eysenck, MW, & Calvo, MG. (1992). Anxiety and performance: the processing efficiency theory. Cognition & Emotion, 6(6), 409–434.

Freeman, S, Eddy, SL, McDonough, M, Smith, MK, Okoroafor, N, Jordt, H, Wenderoth, MP. (2014). Active learning increases student performance in science, engineering, and mathematics. Proceedings of the National Academy of Sciences, 111(23), 8410–8415.

Glesne, C, & Peshkin, A (1992). Becoming qualitative researchers: an introduction. White Plains: Longman.

Guest, G, Bunce, A, Johnson, L. (2006). How many interviews are enough? An experiment with data saturation and variability. Field Methods, 18(1), 59–82.

Hanson, SL (2009). Swimming against the tide: African American girls and science education. Philadelphia, PA: Temple University Press.

Harper, NW, & Daane, CJ. (1998). Causes and reduction of math anxiety in preservice elementary teachers. Action in Teacher Education, 19(4), 29–38.

Heimberg, RG, Brozovich, FA, Rapee, RM (2010). A Cognitive Behavioral Model of Social AnxietyDisorder: Update and Extension. In S. G. Hofmann, & P. M. DiBartolo (Eds.), Social Anxiety: Clinical,Developmental, and Social Perspectives (2nd ed., pp. 395-422). Amsterdam: Elsevier. https://doi.org/10.1016/B978-0-12-375096-9.00015-8 .

Ironsmith, M, Marva, J, Harju, B, Eppler, M. (2003). Motivation and performance in college students enrolled in self-paced versus lecture-format remedial mathematics courses. Journal of Instructional Psychology, 30(4), 276.

James, MC. (2006). The effect of grading incentive on student discourse in peer instruction. American Journal of Physics, 74(8), 689–691.

Johnson, DW, & Johnson, RT. (2009). An educational psychology success story: social interdependence theory and cooperative learning. Educational Researcher, 38(5), 365–379.

Johnson, DW, Johnson, RT, Smith, KA. (2014). Cooperative learning: improving university instruction by basing practice on validated theory. Journal on Excellence in University Teaching, 25(4), 1–26.

Jun Zhang, L. (2001). Exploring variability in language anxiety: two groups of PRC students learning ESL in Singapore. RELC Journal, 32(1), 73–91.

Kennedy, GE, & Cutts, QI. (2005). The association between students’ use of an electronic voting system and their learning outcomes. Journal of Computer Assisted Learning, 21(4), 260–268.

Kessler, RC, Berglund, P, Demler, O, Jin, R, Merikangas, KR, Walters, EE. (2005). Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. Archives of General Psychiatry, 62(6), 593–602.

Knight, JK, Wise, SB, Southard, KM. (2013). Understanding clicker discussions: student reasoning and the impact of instructional cues. CBE Life Sciences Education, 12(4), 645–654.

Koul, R, Roy, L, Lerdpornkulrat, T. (2012). Motivational goal orientation, perceptions of biology and physics classroom learning environments, and gender. Learning Environments Research, 15(2), 217–229.

Lamm, AJ, Shoulders, C, Roberts, TG, Irani, TA, Snyder, LJU, Brendemuhl, J. (2012). The influence of cognitive diversity on group problem solving strategy. Journal of Agricultural Education, 53(1), 18–30.

Mallow, JV (2006). Science anxiety: research and action. Virginia: NSTA Press.

Marsh, HW, & Craven, R (1997). Academic self-concept: beyond the dustbowl. Handbook of classroom assessment: learning, achievement, and adjustment, (pp. 131–198).

McKeachie, WJ. (1984). Does anxiety disrupt information processing or does poor information processing lead to anxiety? Applied Psychology, 33(2), 187–203.

McKeachie, WJ. (1951). Anxiety in the college classroom. The Journal of Educational Research, 45(2), 153–160.

McKinney, ME, Gatchel, RJ, Paulus, PB. (1983). The effects of audience size on high and low speech-anxious subjects during an actual speaking task. Basic and Applied Social Psychology, 4(1), 73–87.

McInerney, V, McInerney, DM, & Marsh, HW (1997). Effects of metacognitive strategy training within a cooperative group learning context on computer achievement and anxiety: An aptitude–treatment interaction study. Journal of Educational Psychology, 89(4), 686–695.

Misra, R, & McKean, M. (2000). College students’ academic stress and its relation to their anxiety, time management, and leisure satisfaction. American Journal of Health Studies, 16(1), 41.

Okebukola, PA. (1986). Reducing anxiety in science classes: an experiment involving some models of class interaction. Educational Research, 28(2), 146–149.

Ommundsen, Y, Haugen, R, Lund, T. (2005). Academic self-concept, implicit theories of ability, and self-regulation strategies. Scandinavian Journal of Educational Research, 49(5), 461–474 https://doi.org/10.1080/00313830500267838 .

Owens, M, Stevenson, J, Norgate, R, Hadwin, JA. (2008). Processing efficiency theory in children: working memory as a mediator between trait anxiety and academic performance. Anxiety, Stress, and Coping, 21(4), 417–430.

Patton, MQ. (2002). Two decades of developments in qualitative inquiry: a personal, experiential perspective. Qualitative Social Work, 1(3), 261–283.

Rapee, RM, & Barlow, DH (1991). Chronic anxiety: generalized anxiety disorder and mixed anxiety-depression. New York: Guilford Press.

Reetz, DR, Krylowicz, B, Mistler, B. (2014). The association for university and college counseling center directors annual survey. Aurora, 51, 60506.

Ross, SE, Niebling, BC, Heckert, TM. (1999). Sources of stress among college students. Social Psychology, 61(5), 841–846.

Sarason, IG. (1973). Test anxiety and cognitive modeling. Journal of Personality and Social Psychology, 28(1), 58.

Sarid, O, Anson, O, Yaari, A, Margalith, M. (2004). Academic stress, immunological reaction, and academic performance among students of nursing and physiotherapy. Research in Nursing & Health, 27(5), 370–377.

Seipp, B. (1991). Anxiety and academic performance: a meta-analysis of findings. Anxiety Research, 4(1), 27–41.

Seymour, E, & Hewitt, NM (1997). Talking about leaving: why undergraduates leave the sciences. Boulder: Westview Press.

Shavelson, RJ, Hubner, JJ, Stanton, GC. (1976). Self-concept: validation of construct interpretations. Review of Educational Research, 46(3), 407–441.

Smith, MK, Wood, WB, Adams, WK, Wieman, C, Knight, JK, Guild, N, Su, TT. (2009). Why peer discussion improves student performance on in-class concept questions. Science, 323(5910), 122–124.

Smith, MK, Wood, WB, Krauter, K, Knight, JK. (2011). Combining peer discussion with instructor explanation increases student learning from in-class concept questions. CBE Life Sciences Education, 10(1), 55–63.

Spitzer, RL, Kroenke, K, Williams, JB, Löwe, B. (2006). A brief measure for assessing generalized anxiety disorder: the GAD-7. Archives of Internal Medicine, 166(10), 1092–1097.

Springer, L, Stanne, ME, Donovan, SS. (1999). Effects of small-group learning on undergraduates in science, mathematics, engineering, and technology: a meta-analysis. Review of Educational Research, 69(1), 21–51.

Steele-Johnson, D, & Kalinoski, ZT. (2014). Error framing effects on performance: cognitive, motivational, and affective pathways. The Journal of Psychology, 148(1), 93–111.

Stipek, D. J. (1993). Motivation to learn: from theory to practice.

Stowell, JR, & Nelson, JM. (2007). Benefits of electronic audience response systems on student participation, learning, and emotion. Teaching of Psychology, 34(4), 253–258.

Sun, JC-Y, Martinez, B, Seli, H. (2014). Powering Up: Insights from Distinguished Mobile and Ubiquitous Learning Projects across the World. Journal of Educational Technology & Society, 17(2), pp. 234–244.

Tanner, K, Chatman, LS, Allen, D. (2003). Approaches to cell biology teaching: cooperative learning in the science classroom—beyond students working in groups. Cell Biology Education, 2(1), 1–5.

Tanner, KD. (2013). Structure matters: twenty-one teaching strategies to promote student engagement and cultivate classroom equity. CBE Life Sciences Education, 12(3), 322–331.

Teigen, KH. (1994). Yerkes-Dodson: a law for all seasons. Theory & Psychology, 4(4), 525–547.

The National Institute of Mental Health. (2016). NIMH Anxiety Disorders. Retrieved 12 Feb 2018 from https://www.nimh.nih.gov/health/topics/anxiety-disorders/index.shtml .

Theobald, EJ, Crowe, A, HilleRisLambers, J, Wenderoth, MP, Freeman, S. (2015). Women learn more from local than global examples of the biological impacts of climate change. Frontiers in Ecology and the Environment, 13(3), 132–137.

Theobald, EJ, Eddy, SL, Grunspan, DZ, Wiggins, BL, Crowe, AJ. (2017). Student perception of group dynamics predicts individual performance: comfort and equity matter. PLoS One, 12(7), e0181336.

Trees, AR, & Jackson, MH. (2007). The learning environment in clicker classrooms: student processes of learning and involvement in large university-level courses using student response systems. Learning, Media and Technology, 32(1), 21–40.

Trenor, JM, Miller, MK, Gipson, KG (2011). Utilization of a think-aloud protocol to cognitively validate a survey instrument identifying social capital resources of engineering undergraduates. In American Society for Engineering Education. Vancouver, BC: American Society for Engineering Education.

Gellman, MD, & Turner, JR (2013). Encyclopedia of behavioral medicine. New York: Springer.

Udo, MK, Ramsey, GP, Mallow, JV. (2004). Science anxiety and gender in students taking general education science courses. Journal of Science Education and Technology, 13(4), 435–446.

Vitasari, P, Wahab, MNA, Othman, A, Herawan, T, Sinnadurai, SK. (2010). The relationship between study anxiety and academic performance among engineering students. Procedia - Social and Behavioral Sciences, 8, 490–497.

Watson, D, & Friend, R. (1969). Measurement of social-evaluative anxiety. Journal of Consulting and Clinical Psychology, 33(4), 448.

Weeks, JW, Heimberg, RG, Fresco, DM, Hart, TA, Turk, CL, Schneier, FR, Liebowitz, MR. (2005). Empirical validation and psychometric evaluation of the Brief Fear of Negative Evaluation Scale in patients with social anxiety disorder. Psychological Assessment, 17(2), 179.

Willoughby, SD, & Gustafson, E. (2009). Technology talks: clickers and grading incentive in the large lecture hall. American Journal of Physics, 77(2), 180–183.

Wyer, M, Barbercheck, M, Geisman, D, Ozturk, HO, Wayne, M (2001). Female, science and technology: a reader in feminist science. New York: Routledge.

Yerkes, RM, & Dodson, JD. (1908). The relation of strength of stimulus to rapidity of habit-formation. Journal of Comparative Neurology, 18(5), 459–482.