1 |
Baker, C. K., & Galanti, T. M. (2017). Integrating STEM in elementary classrooms using model-eliciting activities: Responsive professional development for mathematics coaches and teachers. International journal of STEM education, 4(1), 10.
DOI
|
2 |
Estapa, A. T., & Tank, K. M. (2017). Supporting integrated STEM in the elementary classroom: a professional development approach centered on an engineering design challenge. International Journal of STEM education, 4(1), 6.
DOI
|
3 |
Frykholm, J., & Glasson, G. (2005). Connecting science and mathematics instruction: Pedagogical context knowledge for teachers. School Science and Mathematics, 105(3), 127-141.
DOI
|
4 |
K-12 Computer Science Framework. (2016). Retrieved from http://www.k12cs.org.
|
5 |
Lazenby, K., Stricker, A., Brandriet, A., Rupp, C. A., Mauger- Sonnek, K., & Becker, N. M. (2020). Mapping undergraduate chemistry students' epistemic ideas about models and modeling. Journal of Research in Science Teaching, 57(5), 794-824.
DOI
|
6 |
Lederman, N. G. (1992). Students' and teachers' conceptions of the nature of science: A review of the research. Journal of Research in Science Teaching, 29(4), 331-359.
DOI
|
7 |
Fllis, A. K., & Fouts, J. T. (2001). Interdisciplinary curriculum: The research base: The decision to approach music curriculum from an interdisciplinary perspective should include a consideration of all the possible benefits and drawbacks. Music Educators Journal, 87(5), 22-68.
DOI
|
8 |
Garet, M. S., Porter, A. C., Desimone, L., Birman, B. F., & Yoon, K. S. (2001). What makes professional development effective? Results from a national sample of teachers. American Educational Research Journal, 38(4), 915-945.
DOI
|
9 |
Gonzalez-Howard, M., & McNeill, K. L. (2019). Teachers' framing of argumentation goals: Working together to develop individual versus communal understanding. Journal of Research in Science Teaching, 56(6), 821-844. https://doi.org/10.1002/tea.21530
DOI
|
10 |
Duschl, R. A., Bismack, A. S., Greeno, J., & Gitomer, D. H. (2016). Introduction: Coordinating PreK16 STEM education research and practices for advancing and refining reform agendas. In R. A. Duschl & A. S. Bismack (Eds.), Reconceptualizing STEM Education: The central role of practices (pp. 15-46). Routledge.
|
11 |
Foss, D. H., & Kleinsasser, R. C. (1996). Preservice elementary teachers' views of pedagogical and mathematical content knowledge. Teaching and teacher Education, 12(4), 429-442.
DOI
|
12 |
Lin, F., & Chan, C. K. (2018). Promoting elementary students' epistemology of science through computer-supported knowledge-building discourse and epistemic reflection. International Journal of Science Education, 40(6), 668-687.
DOI
|
13 |
Lederman, N., Wade, P., & Bell, R. L. (1998). Assessing understanding of the nature of science: A historical perspective. In W. F. McComas (Ed.), The nature of science in science education (pp. 331-350). Springer, Dordrecht.
|
14 |
Librea-Carden, M. R., Mulvey, B. K., Borgerding, L. A., Wiley, A. L., & Ferdous, T. (2021). 'Science is accessible for everyone': Preservice special education teachers' nature of science perceptions and instructional practices. International Journal of Science Education, 43(6), 949-968
DOI
|
15 |
Lilly, S., McAlister, A. M., Fick, S. J., Chiu, J. L., & McElhaney, K. W. (2020). Supporting upper elementary students' engineering practices in an integrated science and engineering unit. Paper presented at 2020 ASEE Virtual Annual Conference Content Access, Virtual Online. https://peer.asee.org/35258
|
16 |
Marks, R. (1990). Pedagogical content knowledge: From a mathematical case to a modified conception. Journal of Teacher Education, 41(3), 3-11.
DOI
|
17 |
Pantoya, M. L., Aguirre-Munoz, Z., & Hunt, E. M. (2015). Developing an Engineering Identity in Early Childhood. American Journal of Engineering Education, 6(2), 61-68.
DOI
|
18 |
Furner, J. M., & Kumar, D. D. (2007). The mathematics and science integration argument: A stand for teacher education. Eurasia Journal of Mathematics, Science & Technology Education, 3(3), 185-189.
|
19 |
Gess-Newsome, J. (1999). Pedagogical content knowledge: An introduction and orientation. In J. GessNewsome & N. G. Lederman (Eds.), Examining pedagogical content knowledge (pp. 3-17). Springer, Dordrecht.
|
20 |
Muijs, D., & Reynolds, D. (2002). Teachers' beliefs and behaviors: What really matters? The Journal of Classroom Interaction, 37(2), 3-15.
|
21 |
Russ, R. S. (2018). Characterizing teacher attention to student thinking: A role for epistemological messages. Journal of Research in Science Teaching, 55(1), 94-120. https://doi.org/10.1002/tea.21414
DOI
|
22 |
Schon, J. (1983). Petrophysik: Physikalische eigenschaften von gesteinen und mineralen (p. 405). Berlin: Akademie-Verlag.
|
23 |
Miller, E., Manz, E., Russ, R., Stroupe, D., & Berland, L. (2018). Addressing the epistemic elephant in the room: Epistemic agency and the next generation science standards. Journal of Research in Science Teaching, 55(7), 1053-1075.
DOI
|
24 |
McNeill, K. L., & Krajcik, J. (2008). Scientific explanations: Characterizing and evaluating the effects of teachers' instructional practices on student learning. Journal of Research in Science Teaching, 45(1), 53-78.
DOI
|
25 |
Lilly, S., Fick, S.J., Chiu, J.L., McElhaney, K.W. (2020). Supporting elementary students to develop mathematical models within design-based integrated science and mathematics projects. In M. Gresalfi, and I. S. Horn (Eds.), The Interdisciplinarity of the Learning Sciences, 14th International Conference of the Learning Sciences (ICLS) 2020 (Vol. 2, pp. 847-848). Nashville, Tennessee: International Society of the Learning Sciences.
|
26 |
Gess-Newsome, J. (2015). A model of teacher professional knowledge and skill including PCK. Reexamining Pedagogical Content Knowledge in Science Education, 41(7), 28-42.
|
27 |
Ke, L., & Schwarz, C. V. (2021). Supporting students' meaningful engagement in scientific modeling through epistemological messages: A case study of contrasting teaching approaches. Journal of Research in Science Teaching, 58(3), 335-365.
DOI
|
28 |
Lilly, S., McAlister, A. M., Chiu, J. L. (2021). Elementary teachers' verbal support of engineering integration in an interdisciplinary project. In Proceedings of the American Society for Engineering Education.
|
29 |
Ruppert, J., Duncan, R. G., & Chinn, C. A. (2019). Disentangling the role of domain-specific knowledge in student modeling. Research in Science Education, 49(3), 921-948. https://doi.org/10.1007/s11165-017-9656-9
DOI
|
30 |
Menon, D., & Sadler, T. D. (2016). Preservice elementary teachers' science self-efficacy beliefs and science content knowledge. Journal of Science Teacher Education, 27(6), 649-673.
DOI
|
31 |
Morgan, P. L., Farkas, G., Hillemeier, M. M., & Maczuga, S. (2016). Science achievement gaps begin very early, persist, and are largely explained by modifiable factors. Educational Researcher, 45(1), 18-35.
DOI
|
32 |
Kelly, G. (2008). Inquiry, activity and epistemic practice. In R. Duschl & R. Grandy (Eds.), Teaching scientific inquiry: Recommendations for research and implementation (pp. 99-117). Rotterdam: Sense Publishers.
|
33 |
King, K. P., & Wiseman, D. L. (2001). Comparing science efficacy beliefs of elementary education majors in integrated and non-integrated teacher education coursework. Journal of Science Teacher Education, 12(2), 143-153.
DOI
|
34 |
Lave, J., & Wenger, E. (1991). Situated learning: Legitimate peripheral participation. Cambridge university press.
|
35 |
Therrien, W. J., Taylor, J. C., Hosp, J. L., Kaldenberg, E. R., & Gorsh, J. (2011). Science instruction for students with learning disabilities: A meta- analysis. Learning Disabilities Research & Practice, 26(4), 188-203.
DOI
|
36 |
Chevallard, Y. (2006). Steps towards a new epistemology in mathematics education. In Proceedings of the 4th Conference of the European Society for Research in Mathematics Education (CERME 4) (pp. 21-30).
|
37 |
Hutchins, N. M., Biswas, G., Zhang, N., Snyder, C., Ledeczi, A ., & Maroti, M. (2020). Domain-specific modeling languages in computer-based learning environments: A systematic approach to support science learning through computational modeling. International Journal of Artificial Intelligence in Education, 30(4), 537-580.
DOI
|
38 |
Koirala, H. P., & Bowman, J. K. (2003). Preparing middle level preservice teachers to integrate mathematics and science: Problems and possibilities. School Science and Mathematics, 103(3), 145-154.
DOI
|
39 |
Smith, J., & Karr-Kidwell, P. J. (2000). The interdisciplinary curriculum: A literary review and a manual for administrators and teachers.
|
40 |
Stroupe, D., Moon, J., & Michaels, S. (2019). Introduction to special issue: Epistemic tools in science education. Science Education, 103, 948-951. https://doi.org/10.1002/sce.21512
DOI
|
41 |
Windschitl, M., Thompson, J., Braaten, M., & Stroupe, D. (2012). Proposing a core set of instructional practices and tools for teachers of science. Science Education, 96(5), 878-903.
DOI
|
42 |
Roehrig, G. H., Moore, T. J., Wang, H. H., & Park, M. S. (2012). Is adding the E enough? Investigating the impact of K- 12 engineering standards on the implementation of STEM integration. School Science and Mathematics, 112(1), 31-44.
DOI
|
43 |
Moore, T. J., Glancy, A. W., Tank, K. M., Kersten, J. A., Smith, K. A., & Stohlmann, M. S. (2014). A framework for quality K-12 engineering education: Research and development. Journal of Pre-College Engineering Education Research, 4(1), 2.
|
44 |
National Council of Teachers of Mathematics (NCTM). (2014). Principles to actions: Ensuring mathematical success for all. Reston, VA: Author.
|
45 |
National Research Council. (2012). A framework for K-12 science education: Practices, crosscutting concepts, and core ideas. Washington, DC: The National Academies Press.
|
46 |
Schoenfeld, A. H. (2018). Video analyses for research and professional development: The teaching for robust understanding (TRU) framework. ZDM, 50(3), 491-506.
DOI
|
47 |
Shulman, L. S. (1986). Those who understand: Knowledge growth in teaching. Educational Researcher, 15(2), 4-14.
DOI
|
48 |
Sierpinska, A., & Lerman, S. (1996). Epistemologies of mathematics and of mathematics education. In A. Bishop, M. A. Clements, C. Keitel-Kreidt, J. Kilpatrick, & C. Laborde (Eds.), International handbook of mathematics education (pp. 827-876). Dordrecht: Springer.
|
49 |
Sandoval, W. A., & Reiser, B. J. (2004). Explanation- driven inquiry: Integrating conceptual and epistemic scaffolds for scientific inquiry. Science Education, 88(3), 345-372.
DOI
|
50 |
Tytler, R., Prain, V., & Hobbs, L. (2019). Rethinking disciplinary links in interdisciplinary STEM learning: A temporal model. Research in Science Education, 1-19.
|
51 |
Taylor, J. C., & Villanueva, M. G. (2017). Research in science education for students with special needs. In M. T. Hughes & E. Talbott (Eds.), The Wiley handbook of diversity in special education (pp. 231-252). John Wiley & Sons.
|
52 |
Stein, M. K., Engle, R. A., Smith, M. S., & Hughes, E. K. (2008). Orchestrating productive mathematical discussions: Five practices for helping teachers move beyond show and tell. Mathematical thinking and learning, 10(4), 313-340.
DOI
|
53 |
Stohlmann, M., Moore, T. J., & Roehrig, G. H. (2012). Considerations for teaching integrated STEM education. Journal of Pre-College Engineering Education Research, 2(1), 4.
|
54 |
Tan, E., Calabrese Barton, A., & Benavides, A. (2019). Engineering for sustainable communities: Epistemic tools in support of equitable and consequential middle school engineering. Science Education, 103(4), 1011-1046.
DOI
|
55 |
Wendell, K. B. (2014). Design practices of preservice elementary teachers in an integrated engineering and literature experience. Journal of Pre-College Engineering Education Research, 4(2), 4.
DOI
|
56 |
Yadav, A., Gretter, S., Good, J., & McLean, T. (2017). Computational thinking in teacher education. In P. J. Rich & C. B. Hodges (Eds.), Emerging research, practice, and policy on computational thinking (pp. 205-220). Cham: Springer.
|
57 |
Guskey, T. R., & Yoon, K. S. (2009). What works in professional development? Phi Delta Kappan, 90(7), 495-500.
DOI
|
58 |
Gray, R., & Rogan-Klyve, A. (2018). Talking modelling: Examining secondary science teachers' modelling-related talk during a model-based inquiry unit. International Journal of Science Education, 40(11), 1345-1366. https://doi.org/10.1080/09500693.2018.1479547
DOI
|
59 |
Chiu, J. L., McElhaney, K., Zhang, N., Biswas, G., Fried, R., Basu, S., & Alozie, N. (2019, April). A Principled approach to NGSS-aligned curriculum development: A pilot study. Paper presented at NARST Annual International Conference, Baltimore, MD.
|
60 |
Ganesh, T. G., & Schnittka, C. G. (2014). Engineering education in the middle grades. In S. Purzer, J. Strobel, & M. E. Cardella (Eds.), Engineering in pre-college settings: Synthesizing research, policy, and practices (pp. 89-115). West Lafayette, IN: Purdue University Press.
|
61 |
Hamre, B. K., Pianta, R. C., Downer, J. T., DeCoster, J., Mashburn, A. J., Jones, S. M., & Hamagami, A. (2013). Teaching through interactions: Testing a developmental framework of teacher effectiveness in over 4,000 classrooms. The Elementary School Journal, 113(4), 461-487.
DOI
|
62 |
Grossman, P. L. (1990). The making of a teacher: Teacher knowledge and teacher education. New York, NY: Teachers College Press.
|
63 |
Ball, D. L., Thames, M. H., & Phelps, G. (2008). Content knowledge for teaching: What makes it special. Journal of teacher education, 59(5), 389-407.
DOI
|
64 |
Abd-El-Khalick, F., & Lederman, N. G. (2000). Improving science teachers' conceptions of nature of science: A critical review of the literature. International journal of science education, 22(7), 665-701.
DOI
|
65 |
Alfieri, L., Higashi, R., Shoop, R., & Schunn, C. D. (2015). Case studies of a robot-based game to shape interests and hone proportional reasoning skills. International Journal of STEM Education, 2, Article 4. DOI 10.1186/s40594-015-0017-9.
DOI
|
66 |
Askew, M., Brown, M., Rhodes, V., Wiliam, D., & Johnson, D. (1997). Effective teachers of numeracy in primary schools: Teachers' beliefs, practices and pupils' learning. London: King's College, University of London.
|
67 |
Borko, H. (2004). Professional development and teacher learning: Mapping the terrain. Educational Researcher, 33(8), 3-15.
DOI
|
68 |
Appleton, K. (2008). Developing science pedagogical content knowledge through mentoring elementary teachers. Journal of Science Teacher Education, 19(6), 523-545.
DOI
|
69 |
Berland, L. K., Schwarz, C. V., Krist, C., Kenyon, L., Lo, A. S., & Reiser, B. J. (2016). Epistemologies in practice: Making scientific practices meaningful for students. Journal of Research in Science Teaching, 53(7), 1082-1112.
DOI
|
70 |
Browning, C., Edson, A. J., Kimani, P., & Aslan-Tutak, F. (2014). Mathematical content knowledge for teaching elementary mathematics: A focus on geometry and measurement. The Mathematics Enthusiast, 11(2), 333-383.
DOI
|
71 |
Dasgupta, C., Magana, A. J., & Chao, J. (2017). Investigating teacher's technological pedagogical content knowledge in a CAD-enabled learning environment. In Paper presented and published at the 124th ASEE Annual Conference & Exposition. Columbus, Ohio June 25-28-2017.
|
72 |
Cook, B. G., Tankersley, M., & Landrum, T. J. (2009). Determining evidence-based practices in special education. Exceptional Children, 75(3), 365-383.
DOI
|
73 |
Christodoulou, A., & Osborne, J. (2014). The science classroom as a site of epistemic talk: A case study of a teacher's attempts to teach science based on argument. Journal of Research in Science Teaching, 51(10), 1275-1300. https://doi.org/10.1002/tea.21166
DOI
|
74 |
Cochran-Smith, M., & Lytle, S. L. (1992). Communities for teacher research: Fringe or forefront? American Journal of Education, 100(3), 298-324.
DOI
|