Eurasia Journal of Mathematics, Science and Technology Education

• Addido, J., Burrows, A. C., & Slater, T. F. (2022b). Addressing pre-service teachers’ misconceptions and promoting conceptual understanding through the conceptual change model. Problems of Education in the 21st Century, 80(4), 499-515. https://doi.org/10.33225/pec/22.80.499
• Addido, J., Burrows, A., & Slater, T. (2022a). The effect of the conceptual change model on conceptual understanding of electrostatics. Education Sciences, 12(10), 696. https://doi.org/10.3390/educsci12100696
• Afari, E., & Khine, M. (2017). Robotics as an educational tool: Impact of Lego Mindstorms. International Journal of Information and Education Technology, 7, 437-442. https://doi.org/10.18178/ijiet.2017.7.6.908
• Altin, H., & Pedaste, M. (2013). Learning approaches to applying robotics in science education. Journal of Baltic Science Education, 12(3), 13. https://doi.org/10.33225/jbse/13.12.365
• Athanasiou, L., Mikropoulos, T., & Mavridis, D. (2019). Robotics interventions for improving educational outcomes–A meta-analysis. In M. A. Tsitouridou, J. Diniz, & T. Mikropoulos, T. (Eds.), Technology and innovation in learning, teaching and education (pp. 91-102). Springer. https://doi.org/10.1007/978-3-030-20954-4_7
• Austin, R. A. (2021). Discovering newton’s second law of motion in the classroom. The Physics Teacher, 59(6), 428-429. https://doi.org/10.1119/10.0006120
• Badeleh, A. (2021). The effects of robotics training on students’ creativity and learning in physics. Education and Information Technologies, 26(2), 1353-1365.https://doi.org/10.1007/s10639-019-09972-6
• Baker, M., & Robinson, S. (2016). The effects of Kolb’s experiential learning model on successful intelligence in secondary agriculture students. Journal of Agricultural Education, 57(3), 129-144. https://doi.org/10.5032/jae.2016.03129
• Benitti, F. B. V. (2012). Exploring the educational potential of robotics in schools: A systematic review. Computers & Education, 58(3), 978-988. https://doi.org/10.1016/j.compedu.2011.10.006
• Borowczak, M., & Burrows, A. C. (2019). Ants go marching–Integrating computer science into teacher professional development with NetLogo. Education Sciences, 9(1), 66. https://doi.org/10.3390/educsci9010066
• Burrows, A. C., Chamberlin, M., & Borowczak, M. (2022). Intentional focus on integrated STEM: Was Costner the original STEM influencer? In E. Janak, & L. Sourdot (Eds.), Kevin Costner, America’s teacher (pp. 153-168). Rowman & Littlefield Publishing Group, Inc.
• Burrows, A. C., Garofalo, J., Barbato, S., Christensen, R., Grant, M., Parrish, J., Thomas, C., & Tyler Wood, T. (2017). Integrated STEM and current directions in the STEM community. Contemporary Issues in Technology and Teacher Education, 17(4), 478-482.
• Burrows, A., & Slater, T. (2015). A proposed integrated STEM framework for contemporary teacher preparation. Teacher Education and Practice, 28(2/3), 318-330.
• Chen, Y., & Chang, C.-C. (2018). The impact of an integrated robotics stem course with a sailboat topic on high school students’ perceptions of integrative STEM, Interest, and career orientation. EURASIA Journal of Mathematics, Science and Technology Education, 14(12), em1614. https://doi.org/10.29333/ejmste/94314
• Church, W., Ford, T., Perova, N., & Rogers, C. (2010). Physics with robotics: Using LEGO MINDSTROMS in high school education. In Proceedings of the 2010 AAAI Spring Symposium (pp. 47-49). AAAI.
• Creswell, J. W. (2014). Research design: Qualitative, quantitative and mixed methods approaches. SAGE.
• Danahy, E., Wang, E., Brockman, J., Carberry, A., Shapiro, B., & Rogers, C. B. (2014). LEGO based robotics in higher education: 15 years of student creativity. International Journal of Advanced Robotic Systems, 11(2), 27. https://doi.org/10.5772/58249
• Deliberto, B. R. (2014). Robotics and inquiry: Addressing the impact on student understanding of physics concepts (force and motion) from select rural Louisiana elementary students through robotics instruction immersed within the 5E learning cycle model [PhD thesis, Louisiana State University].
• Driscoll, M. P. (1994). Psychology of learning for instruction. Allyn & Bacon.
• Epstein, D., & Miller, R. T. (2011). Slow off the mark: Elementary school teachers and the crisis in science, technology, engineering, and math education. Center for American Progress. https://files.eric.ed.gov/fulltext/ED536070.pdf
• Ferrarelli, P., & Iocchi, L. (2021). Learning Newtonian physics through programming robot experiments. Technology, Knowledge and Learning, 26, 789-824. https://doi.org/10.1007/s10758-021-09508-3
• Field, A. (2018). Discovering statistics using IBM SPSS statistics: North American version. SAGE.
• Gates, J. (2014). Experimentally building a qualitative understanding of newton’s second law. The Physics Teacher, 52(9), 542-545. https://doi.org/10.1119/1.4902198
• Guastella, D., & Antonella, D. (2020). Teaching physics concepts using educational robotics. In M. Moro, D. Alimisis, & L. Iocchi, L. (Eds.), Educational robotics in the context of the maker movement (pp. 214-218). Springer. https://doi.org/10.1007/978-3-030-18141-3_20
• Habib, M. K., Nagata, F., & Watanabe, K. (2021). Mechatronics: Experiential learning and the stimulation of thinking skills. Education Sciences, 11(2), 46.https://doi.org/10.3390/educsci11020046
• Hendricks, C. C., Alemdar, M., & Ogletree, T. W. (2012). The impact of participation in VEX robotics competition on middle and high school students’ interest in pursuing STEM studies and STEM-related careers. American Society for Engineering Education. https://doi.org/10.18260/1-2--22069
• Jaipal-Jamani, K., & Angeli, C. (2017). Effect of robotics on elementary preservice teachers’ self-efficacy, science learning, and computational thinking. Journal of Science Education and Technology, 26(2), 175-192. https://doi.org/10.1007/s10956-016-9663-z
• Johnson, J. (2003). Children, robotics, and education. Artificial Life and Robotics, 7(1-2), 16-21. https://doi.org/10.1007/BF02480880
• Johnson, R. B., & Christensen, L. (2016). Educational research: Quantitative, qualitative, and mixed approaches. SAGE.
• Jomento-Cruz, I. L. (2010). Robotics as a means of increasing student achievement in middle school science [Master’s thesis, Louisiana State University].
• Karim, M. E., Lemaignan, S., & Mondada, F. (2015). A review: Can robots reshape K-12 STEM education? In Proceedings of the 2015 IEEE International Workshop on Advanced Robotics and its Social Impacts (pp. 1-8). IEEE. https://doi.org/10.1109/ARSO.2015.7428217
• Kennedy, T. J., & Odell, M. R. L. (2014). Engaging students in STEM education. Science Education International, 25(3), 246-258.
• López-Belmonte, J., Segura-Robles, A., Moreno-Guerrero, A.-J., & Parra-González, M.-E. (2021). Robotics in education: A scientific mapping of the literature in web of science. Electronics, 10(3), 291. https://doi.org/10.3390/electronics10030291
• Malec, J. (2001). Some thoughts on robotics for education. Stanford University. https://fileadmin.cs.lth.se/cs/Personal/Jacek_Malec/psfiles/aaai01rae.pdf
• Nall, M. (2016). Robotics in the classroom: The effectiveness of robotics based curriculum in STEM education. https://scholarworks.uni.edu/cgi/viewcontent.cgi?article=1088&context=grp
• Narayan, R., Rodriguez, C., Araujo, J., Shaqlaih, A., & Moss, G. (2013). Constructivism constructivist learning theory. In B. J. Irby, G. Brown, & S. Jackson (Eds.), The handbook of educational theories (pp. 169-183). IAP Information Age Publishing.
• Nelson, A. G., & Cohn, S. (2015). Data collection methods for evaluating museum programs and exhibitions. Journal of Museum Education, 40(1), 27-36. https://doi.org/10.1080/10598650.2015.11510830
• NGSS Lead States. (2013). Next generation science standards: For states, by states. The National Academies Press.
• Ntemngwa, C., & Oliver, J. S. (2018). The implementation of integrated science technology, engineering, and mathematics (STEM) instruction using robotics in the middle school science classroom. International Journal of Education in Mathematics, Science and Technology, 6(1), 12-40. https://doi.org/10.18404/ijemst.380617
• Nugent, G., Barker, B., Grandgenett, N., & Adamchuk, V. I. (2010). Impact of robotics and geospatial technology interventions on youth STEM learning and attitudes. Journal of Research on Technology in Education, 42(4), 391-408. https://doi.org/10.1080/15391523.2010.10782557
• Ortiz, A., Bos, B., & Smith, S. (2015). The power of educational robotics as an integrated STEM learning experience in teacher preparation programs. Journal of College Science Teaching, 44(5). https://doi.org/10.2505/4/jcst15_044_05_42
• Palts, T., & Pedaste, M. (2020). A model for developing computational thinking skills. Informatics in Education, 19(1), 113-128. https://doi.org/10.15388/infedu.2020.06
• Rihtaršič, D., Avsec, S., & Kocijancic, S. (2016). Experiential learning of electronics subject matter in middle school robotics courses. International Journal of Technology and Design Education, 26(2), 205-224. https://doi.org/10.1007/s10798-015-9310-7
• Rocker Yoel, S., Shwartz Asher, D., Schohet, M., & Dori, Y. J. (2020). The effect of the FIRST robotics program on its graduates. Robotics, 9(4), 4. https://doi.org/10.3390/robotics9040084
• Setyanto, J. R., Sudjito, D. N., & Rondonuwu, F. S. (2018). The use of understanding by design in designing the physics lesson plan about newton’s second law. Journal of Science and Science Education, 2(2), 69-80.
• Shreffler, J., & Huecker, M. R. (2022). Type I and type II errors and statistical power. StatPearls Publishing.
• Singer, S. R., Nielsen, N. R., & Schweingruber, H. A. (Eds.). (2012). Discipline-based education research: Understanding and improving learning in undergraduate science and engineering. National Academies Press.
• Staus, N. L., Falk, J. H., Penuel, W., Dierking, L., Wyld, J., & Bailey, D. (2020). Interested, disinterested, or neutral: Exploring STEM interest profiles and pathways in a low income urban community. EURASIA Journal of Mathematics, Science and Technology Education, 16(6), em1853. https://doi.org/10.29333/ejmste/7927
• Sullivan, F., & Heffernan, J. (2016). Robotic construction kits as computational manipulatives for learning in the STEM disciplines. Journal of Research on Technology in Education, 48, 1-24. https://doi.org/10.1080/15391523.2016.1146563
• van Merriënboer, J. J. G. (1997). Training complex cognitive skills: A four component instructional design model for technical training. Educational Technology.
• Verner, I., & Korchnoy, E. (2006). Experiential learning through designing robots and motion behaviors: A tiered approach. International Journal of Engineering Education, 22, 758-765.
• Walwema, G. B., French, D. A., Verley, J. D., Burrows, A. C. (2016). Is classical mechanics a prerequisite for learning physics of the 20th century? Physics Education, 51(6), 065022. https://doi.org/10.1088/0031-9120/51/6/065022
• Wei, C.-W., Hung, I.-C., Lee, L., & Chen, N.-S. (2011). A joyful classroom learning system with robot learning companion for children to learn mathematics multiplication. The Turkish Online Journal of Educational Technology, 10(2), 13.
• Yang, D., & Baldwin, S. J. (2020). Using technology to support student learning in an integrated STEM learning environment. International Journal of Technology in Education and Science, 4(1), 1-11. https://doi.org/10.46328/ijtes.v4i1.22
• Yuan, J., Kim, C., Hill, R., & Kim, D. (2019). Robotics integration for learning with technology. Contemporary Issues in Technology and Teacher Education, 19(4), 708-735.

APA

Addido, J., Borowczak, A. C., & Walwema, G. B. (2023). Teaching Newtonian physics with LEGO EV3 robots: An integrated STEM approach. Eurasia Journal of Mathematics, Science and Technology Education, 19(6), em2280. https://doi.org/10.29333/ejmste/13232

Vancouver

Addido J, Borowczak AC, Walwema GB. Teaching Newtonian physics with LEGO EV3 robots: An integrated STEM approach. EURASIA J Math Sci Tech Ed. 2023;19(6):em2280. https://doi.org/10.29333/ejmste/13232

AMA

Addido J, Borowczak AC, Walwema GB. Teaching Newtonian physics with LEGO EV3 robots: An integrated STEM approach. EURASIA J Math Sci Tech Ed. 2023;19(6), em2280. https://doi.org/10.29333/ejmste/13232

Chicago

Addido, Johannes, Andrea C. Borowczak, and Godfrey B. Walwema. "Teaching Newtonian physics with LEGO EV3 robots: An integrated STEM approach". Eurasia Journal of Mathematics, Science and Technology Education 2023 19 no. 6 (2023): em2280. https://doi.org/10.29333/ejmste/13232

Harvard

Addido, J., Borowczak, A. C., and Walwema, G. B. (2023). Teaching Newtonian physics with LEGO EV3 robots: An integrated STEM approach. Eurasia Journal of Mathematics, Science and Technology Education, 19(6), em2280. https://doi.org/10.29333/ejmste/13232

MLA

Addido, Johannes et al. "Teaching Newtonian physics with LEGO EV3 robots: An integrated STEM approach". Eurasia Journal of Mathematics, Science and Technology Education, vol. 19, no. 6, 2023, em2280. https://doi.org/10.29333/ejmste/13232