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1 Bielik, T., "Working together : Integrating computational modeling approaches to investigate complex phenomena" 30 : 40-57, 2021
2 Braun, V., "Using thematic analysis in psychology" 3 (3): 77-101, 2006
3 Krüger, J. T., "Two comparative studies of computer simulations and experiments as learning tools in school and out-of-school education" 50 : 169-197, 2022
4 Wilensky, U., "Thinking in levels : A dynamic systems perspective to making sense of the world" 8 (8): 3-19, 1999
5 Xiang, L., "Supporting three-dimensional learning on ecosystems using an agent-based computer model" 31 : 473-489, 2022
6 Ke, L., "Supporting students’ meaningful engagement in scientific modeling through epistemolgical messages : A case study of contrasting teaching approaches" 58 (58): 335-365, 2021
7 Puttick, G., "So, we kind of started from scratch, no pun intended : What can students learn from designing games?" 61 (61): 772-808, 2023
8 Sengupta, P., "Programming in K-12 science classrooms" 58 (58): 33-35, 2015
9 Scherr, R. E., "Productivity of"collisions generate heat"for reconciling an energy model with mechanistic reasoning : A case study" 11 (11): 1-16, 2015
10 NGSS Lead States., "Next Generation Science Standards : For States, by States" National Academies Press 2013
11 Coll, R. K., "Models and Modeling" Springer 3-21, 2011
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13 Nguyen, H., "Impact of computer modeling on learning and teaching systems thinking" 58 (58): 661-688, 2021
14 Schwarz, C. V., "Helping Students Make Sense of the World Using Next Generation Science and Engineering Practices" NSTA Press 2017
15 Shim, S. Y., "Framing negotiation : Dynamics of epistemological and positional framing in small groups during scientific modeling" 102 (102): 128-152, 2018
16 엄장희 ; 김희백, "Exploring the agency of a student leader in collaborative scientific modeling classes in an elementary school" 41 (41): 339-358, 2021
17 양윤영 ; 김재근, "Exploring challenges and suggestions faced by pre-service biology teachers in developing a Netlogo practical program for an ecology course" 52 (52): 13-31, 2024
18 Wagh, A., "Evobuild : A quickstart toolkit for programming agent-based models of evolutionary processes" 27 : 131-146, 2018
19 Pierson, A. E., "Emotional configurations in STEM classrooms : Braiding feelings, sensemaking, and practices in extended investigations" 107 (107): 1126-1162, 2023
20 한문현 ; 김희백, "Elementary students’ reasoning patterns represented in constructing models of ‘Food web and food pyramid’" 31 (31): 71-83, 2012
21 Shute, V. J., "Demystifying computational thinking" 22 : 142-158, 2017
22 Weintrop, D., "Defining computational thinking for mathematics and science classrooms" 25 (25): 127-147, 2016
23 엄장희 ; 김희백, "Changes in teaching practices of elementary school teachers in scientific modeling classes : Focused on modeling pedagogical content knowledge(PCK)" 40 (40): 543-563, 2020
24 Rachmatuullah, A., "Building a computational model of food webs : Impacts on middle school students’ computational and systems thinking skills" 59 (59): 585-618, 2022
25 Corbin, J., "Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory" Sage publications 2014
26 Pierson, A. E., "Balancing the environment : Computational models as interactive participants in a STEM classroom" 29 : 101-119, 2020
27 Wilkerson, M., "Balancing curricular and pedagogical needs in computational construction kits : Lessons from the DeltaTick project" 99 (99): 465-499, 2015
28 Tang, X., "Assessing computational thinking: A systematic review of empirical studies" 148 : 1-22, 2020
29 조헌국, "A tutorial for applying machine learning to the science education for the gifted : Focus on the daily temperature of Seoul" 13 (13): 133-149, 2021
30 신원섭, "A case study on application of artificial intelligence convergence education in elementary biological classification learning" 39 (39): 284-295, 2020
31 Ministry of Education [MOE], "2022 Reformed Science Curriculum" Ministry of Education 2022