Alonzo, AC, & Kim, J. (2016). Declarative and dynamic pedagogical content knowledge as elicited through two video-based interview methods. Journal of Research in Science Teaching, 53(8), 1259–1286.
Article
Google Scholar
American Association for the Advancement of Science (AAAS) (2011). Vision and change in undergraduate biology education: a call to action. Washington, DC: AAAS
Andrews, TC, Conaway, EP, Zhao, J, Dolan, EL. (2016). Colleagues as change agents: how department networks and opinion leaders influence teaching at a single research university. CBE-Life Sciences Education, 15, 1–17.
Google Scholar
Andrews, TM, Leonard, MJ, Colgrove, CA, Kalinowski, ST. (2011). Active learning not associated with student learning in a random sample of college biology courses. CBE-Life Sciences Education, 10(4), 394–405.
Article
Google Scholar
Auerbach, AJ, Higgins, M, Brickman, M, Andrews, TC. (2018). Teacher knowledge for active-learning instruction: what do instructors need to know to be effective? CBE - Life Sciences Education, 17(1), 1–14.
Google Scholar
Birks, M, & Mills, J (2011). Grounded theory: a practical guide. London: SAGE Publications.
Google Scholar
Blömeke, S, Hoth, J, Döhrmann, M, Busse, A, Kaiser, G, König, J. (2015). Teacher change during induction: development of beginning primary teachers’ knowledge, beliefs, and performance. International Journal of Science and Mathematics Education, 13, 287–308.
Article
Google Scholar
Carlone, HB, & Johnson, A. (2007). Understanding the science experiences of successful women of color: science identity as an analytic lens. Journal of Research in Science Teaching, 44(8), 1187–1218.
Article
Google Scholar
Carlson, J, Stokes, L, Helms, J, Gess-Newsome, J, Gardner, A (2015). The PCK Summit: a process and structure for challenging current ideas, provoking future work, and considering new directions. In A Berry, P Friedrichsen, J Loughran (Eds.), Re-examining pedagogical content knowledge in science education, (pp. 14–27). New York: Routledge.
Google Scholar
Chan, KKH, & Yung, BHW. (2015). On-site pedagogical content knowledge development. International Journal of Science Education, 37(8), 1246–1278.
Article
Google Scholar
Chan, KKH, & Yung, BHW. (2017). Developing pedagogical content knowledge for teaching a new topic: more than teaching experience and subject matter knowledge. Research in Science Education, 1–33. https://link.springer.com/article/10.1007/s11165-016-9567-1.
Chang, K-E, Sung, Y-T, Chen, I-D. (2002). The effect of concept mapping to enhance text comprehension and summarization. The Journal of Experimental Education, 71, 5–23.
Article
Google Scholar
Charmaz, K (2006). Constructing grounded theory: a practical guide through qualitative research. London: SAGE Publications.
Google Scholar
Chi, MTH. (2009). Active-constructive-interactive: a conceptual framework for differentiating learning activities. Topics in Cognitive Science, 1, 73–105.
Article
Google Scholar
Chi, MTH, Kang, S, Yaghmourian, DL. (2016). Why students learn more from dialogue than monologue videos: analysis of peer interactions. Journal of the Learning Sciences, 26, 10–50.
Chi, MTH, & Wylie, R. (2014). The ICAP framework: linking cognitive engagement to active learning outcomes. Educational Psychologist, 49(4), 219–243.
Article
Google Scholar
Cooper, KM, & Brownell, SE. (2016). Coming out in class: challenges and benefits of active learning in a biology classroom for LGBTQIA students. CBE-Life Sciences Education, 15(3), ar37.
Article
Google Scholar
Cooper, KM, Haney, B, Krieg, A, Brownell, SE. (2017). 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), ar8.
Article
Google Scholar
Cooper, MM. (2016). It is time to say what we mean. Journal of Chemical Education, 93, 799–800.
Article
Google Scholar
Cooper, MM, Caballero, MD, Ebert-May, D, Fata-Hartley, CL, Jardeleza, SE, Krajcik, JS, Laverty, JT, Matz, RL, Posey, LA, Underwood, SM. (2015). Challenge faculty to transform STEM learning. Science, 350(6258), 281–282.
Article
Google Scholar
Crouch, CH, & Mazur, E. (2001). Peer instruction: ten years of experience and results. American Journal of Physics, 69(9), 970–977.
Article
Google Scholar
Czerniak, CM, & Haney, JJ. (1998). The effect of collaborative concept mapping on elementary preservice teachers’ anxiety, efficacy, and achievement in physical science. Journal of Science Teacher Education, 9, 303–320.
Article
Google Scholar
Dallimore, EJ, Hertenstein, JH, Platt, MB. (2010). Class participation in accounting courses: factors that affect student comfort and learning. Issues in Accounting Education, 25(4), 613–629.
Article
Google Scholar
Dallimore, EJ, Hertenstein, JH, Platt, MB. (2013). Impact of cold-calling on student voluntary participation. Journal of Management Education, 37(3), 305–341.
Article
Google Scholar
Dancy, M, Henderson, C, Turpen, C. (2016). How faculty learn about and implement research-based instructional strategies: the case of peer instruction. Physical Review-PER, 12, 010110.
Google Scholar
Depaepe, F, Verschaffel, L, Kelchtermans, G. (2013). Pedagogical content knowledge: a systematic review of the way in which the concept has pervaded mathematics education research. Teaching and Teacher Education, 35, 12–25.
Article
Google Scholar
Deslauriers, L, Schelew, E, Wieman, C. (2011). Improved learning in a large-enrollment physics class. Science, 332(6031), 862–864.
Article
Google Scholar
Dye, KM, & Stanton, JD. (2017). Metacognition in upper-division biology students: awareness does not always lead to control. CBE-Life Sciences Education, 16(2), ar31.
Article
Google Scholar
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.
Article
Google Scholar
Eddy, SL, Converse, M, Wenderoth, MP. (2015). 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, 1–16.
Google Scholar
Eddy, SL, & Hogan, KA. (2014). Getting under the hood: how and for whom does increasing course structure work? CBE-Life Sciences Education, 13(3), 453–468.
Article
Google Scholar
Freeman, S, Eddy, SL, McDonough, M, Smith, MS, Oloroafor, 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.
Article
Google Scholar
Gess-Newsome, J (2015). A model of teacher professional knowledge and skill including PCK. In A Berry, P Friedrichsen, J Loughran (Eds.), Re-examining pedagogical content knowledge in science education, (pp. 28–42). New York: Routledge.
Google Scholar
Graham, MJ, Frederick, J, Byars-Winston, A, Hunter, AB, Handelsman, J. (2013). Increasing persistence of college students in STEM. Science, 341(6153), 1455–1456.
Article
Google Scholar
Grossman, PL, & Richert, AE. (1988). Unacknowledged knowledge growth: a reexaminationof the effects of teacher education. Teaching and Teacher Education, 4(1), 53e62.
Article
Google Scholar
Grunspan, DZ, Eddy, SL, Brownell, SE, Wiggins, BL, Crowe, AJ, Goodreau, SM. (2016). Males under-estimate academic performance of their female peers in undergraduate biology classrooms. PLoS One, 11(2), e0148405.
Article
Google Scholar
Haak, DC, HilleRisLambers, J, Pitre, E, Freeman, S. (2011). Increased structure and active learning reduce the achievement gap in introductory biology. Science, 332, 1213–1216.
Article
Google Scholar
Hill, HC, Rowan, B, Ball, DL. (2005). Effects of teachers’ mathematical knowledge for teaching on student achievement. American Educational Research Journal, 42(2), 371–406.
Article
Google Scholar
Johnson, EM, & Larsen, SP. (2012). Teacher listening: the role of knowledge of content and students. The Journal of Mathematical Behavior, 31(1), 117–129.
Article
Google Scholar
Kaiser G, Busse, A, Hoth, J, König, J, & Blömeke S. (2015). About the complexities of video-based assesments: Theoretical and methodological approaches to overcoming the shortcomings of research on teacher competence. International Journal of Science and Math Education 13, 369–387.
Article
Google Scholar
Kersting, NB. (2008). Using video clips of mathematics classroom instruction as item prompts to measure teachers’ knowledge of teaching mathematics. Educational and Psychological Measurement, 68(5), 845–861.
Article
Google Scholar
Kersting, NB, Givvin, KB, Thompson, BJ, Santagata, R, Stigler, J. (2012). Measuring usable knowledge: teachers analyses of mathematics classroom videos predicts teaching quality and student learning. American Educational Research Journal, 49(3), 568–589.
Article
Google Scholar
Knight, JK, Wise, SB, Sieke, S. (2016). Group random call can positively affect student in-class clicker discussions. CBE-Life Sciences Education, 15(4), ar56.
Article
Google Scholar
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.
Article
Google Scholar
König, J, Blömeke, S, Klein, P, Suhl, U, Busse, A, Kaiser, G. (2014). Is teachers’ generalpedagogical knowledge a premise for noticing and interpreting classroom situations? A video-based assessment approach. Teaching and Teacher Education, 38, 76–88.
Article
Google Scholar
Lave, J, & Wenger, E (1991). Situated learning: legitimate peripheral participation. Cambridge: Cambridge University Press.
Book
Google Scholar
Leonard, MJ, Kalinowski, SK, Andrews, TC. (2014). Misconceptions yesterday, today, and tomorrow. CBE-Life Sciences Education, 13(2), 1–8.
Google Scholar
Mason, L. (2007). Introduction: Bridging the cognitive and sociocultural approaches in research on conceptual change: is it feasible? Educational Psychologist, 42(1), 1–7.
Article
Google Scholar
Menekse, M, Stump, G, Krause, S, Chi, MTH. (2013). Differentiated overt learning activities for effective instruction in engineering classrooms. Journal of Engineering Education, 102(3), 346–374.
Article
Google Scholar
Mishra, P, & Koehler, MJ. (2006). Technological pedagogical content knowledge: a framework for teacher knowledge. Teachers College Record, 108(6), 1017–1054.
Article
Google Scholar
Morine-Dershimer, G, & Kent, T (1999). The complex nature and sources of teachers’pedagogical knowledge. In J Gess-Newsome, NG Lederman (Eds.), Examining pedagogical content knowledge, (pp. 21–50). Dordrecht: Springer.
National Research Council (NRC) (2012). A framework for K-12 science education. Washington, D.C.: National Academies Press.
Google Scholar
Park, S, Jang, J-Y, Chen, Y-C, Jung, J. (2011). Is pedagogical content knowledge (PCK) necessary for reformed science teaching?: evidence from an empirical study. Research on Science Education, 41, 245–260.
Article
Google Scholar
Piaget, J (1985). In T Brown, KJ Thampy (Eds.), The equilibration of cognitive structures, trans. Chicago: University of Chicago Press.
Google Scholar
Pollock, SJ, & Finkelstein, ND. (2008). Sustaining educational reforms in introductory physics. Physics Review-PER, 4, 010110.
Google Scholar
Sadler, PH, Sonnert, G, Coyle, HP, Cook-Smith, N, Miller, JL. (2013). The influence of teachers’ knowledge on student learning in middle school physical science classrooms. American Education Research Journal, 50(5), 1020–1049.
Article
Google Scholar
Santagata, R, & Yeh, C. (2013). Learning to teach mathematics and to analyze teaching effectiveness: evidence from a video- and practice-based approach. Journal of Mathematics Teacher Education, 17, 491–514.
Schmid, RF, & Telaro, G. (1990). Concept mapping as an instructional strategy for high school biology. Journal of Educational Research, 84, 78–85.
Article
Google Scholar
Schoenfeld, AH. (1998). Toward a theory of teaching-in-context. Issues in Education, 4(1), 1–94.
Article
Google Scholar
Schön, DA (1983). The reflective practitioner: how practitioners think in action. London: Temple Smith.
Google Scholar
Schön, DA (2001). The crisis of professional knowledge and the pursuit of an epistemology of practice. In J Raven, J Stephenson (Eds.), Competence in the learning society, (pp. 183–207). New York: Peter Lang.
Google Scholar
Seidel, SB, Reggi, AL, Schinske, JN, Burrus, LW, Tanner, KD. (2015). Beyond the biology: a systematic investigation of noncontent instructor talk in an introductory biology course. CBE-Life Sciences Education, 14(4), ar43.
Article
Google Scholar
Seymour, E, & Hewitt, NM (1997). Talking about leaving. Boulder: Westview Press.
Google Scholar
Sfard, A. (1998). On two metaphors for learning and the dangers of choosing just one. Educational Researcher, 27(2), 4–13.
Article
Google Scholar
Sherin, MG, Jacobs, VR, Phillip, RA (2011). Situating the study of teacher noticing. In MG Sherin, VR Jacobs, RA Phillip (Eds.), Mathematics teacher noticing: seeing through teachers’ eyes, (pp. 3–13). New York: Routledge.
Google Scholar
Shulman, L. (1987). Knowledge and teaching: foundations of the new reform. Harvard Educational Review, 57(1), 1–23.
Article
Google Scholar
Sinatra, GM, Southerland, SA, McConaughy, F, Demastes, J. (2003). Intentions and beliefs in students’ understanding and acceptance of biological evolution. Journal of Research in Science Teaching, 40, 510–528.
Article
Google Scholar
Smith, MK, Johes, FHM, Gilbert, SL, Wieman, CE. (2013). The classroom observation protocol for undergraduate STEM (COPUS): a new instrument to characterize university STEM classroom practices. CBE-Life Sciences Education, 12, 618–627.
Article
Google Scholar
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.
Article
Google Scholar
Smith, PS, Esch, PK, Hayes, ML, & Plumley, CL (2016). Developing and testing a method for collecting and synthesizing pedagogical content knowledge. Paper presented at NARST Annual International Meeting, Baltimore, MD, April 2016.
Speer, NM, & Wagner, JF. (2009). Knowledge needed by a teacher to provide analytic scaffolding during undergraduate mathematics classroom discussions. Journal for Research in Mathematics Education, 40(5), 530–562.
Google Scholar
Springer, L, Stanne, ME, Donovan, S. (1999). Measuring the success of small-group learning in college level SMET teaching: a meta-analysis. Review of Educational Research, 69, 21–51.
Article
Google Scholar
Stains, M, & Vickrey, T. (2017). Fidelity of implementation: an overlooked yet critical construct to establish effectiveness of evidence-based instructional practices. CBE-Life Sciences Education, 16, rm1 1–11.
Article
Google Scholar
Stanton, JD, Neider, XN, Gallegos, IJ, Clark, NC. (2015). Differences in metacognitive regulation in introductory biology students: when prompts are not enough. CBE-Life Sciences Education, 14(2), ar15.
Article
Google Scholar
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.
Article
Google Scholar
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.
Article
Google Scholar
Trujillo, G, & Tanner, KD. (2014). Considering the role of affect in learning: monitoring students' self-efficacy, sense of belonging, and science identity. CBE-Life Sciences Education, 13(1), 6–15.
Article
Google Scholar
Turpen, C, & Finkelstein, ND. (2009). Not all interactive engagement is the same: variations in physics professors’ implementation of peer instruction. Physics Review-PER, 5, 020101.
Google Scholar
van Es, EA, & Sherin, MG. (2008). Mathematics teachers’ “learning to notice” in the context of a video club. Teaching and Teacher Education, 24, 244–276.
Article
Google Scholar
van Es, E.A. (2011) A framework for learning to notice student thinking. In M.G. Sherin, V.R. Jacobs, & R.A. Philipp (Eds.), Mathematics teacher noticing: Seeing through teachers' eyes. New York: Routledge.
Vermunt, JD. (1996). Metacognitive, cognitive and affective aspects of learning styles andstrategies: a phenomenographic analysis. Higher Education, 31, 25–50.
Article
Google Scholar
Vosniadou, S. (2007). The cognitive-situative divide and the problem of conceptual change. Educational Psychologist, 42(1), 55–66.
Article
Google Scholar
Wagner, JF, Speer, NM, Rossa, B. (2007). Beyond mathematical content knowledge: a mathematician’s knowledge needed for teaching an inquiry-oriented differential equations course. Journal of Mathematical Behavior, 26, 247–266.
Article
Google Scholar
Wang, MC, Haertel, GD, Walberg, HJ. (1990). What influences learning? A content analysis of review literature. The Journal of Educational Research, 84(1), 30–43.
Article
Google Scholar
Wegner, E, & Nückles, M. (2015). Knowledge acquisition or participation in communities of practice? Academics’ metaphors of teaching and learning at the university. Studies in Higher Education, 40(4), 624–643.
Article
Google Scholar
Witt, PL, Wheeless, LR, Allen, M. (2004). A meta-analytical review of the relationship between teacher immediacy and student learning. Communication Monographs, 71, 184–207.
Article
Google Scholar
Yin, Y, Vanides, J, Ruiz-Primo, MA, Ayala, CC, Shavelson, RJ. (2005). Comparison of two concept-mapping techniques: implications for scoring, interpretation, and use. Journal of Research in Science Teaching, 42, 166–184.
Article
Google Scholar