Eurasia Journal of Mathematics, Science and Technology Education

• Alibali, M. W., & Nathan, M. J. (2018). Embodied cognition in learning and teaching: Action, observation, and imagination. In F. Fischer, S. Goldman, C. Hmelo-Silver, & P. Riemann (Eds.), International handbook of the learning sciences (pp. 75-85). Routledge/Taylor & Francis. https://doi.org/10.4324/9781315617572-8
• Asim, S., & Hollenbeck, J. E. (2021). Lessons learned from facilitating inquiry-based science online teaching: Challenges and opportunities to science education during the COVID-19 pandemic. In V. L. Akerson, & I. S. Carter (Eds.), Science education during the COVID-19 pandemic: Tales from the front lines (pp. 5-34). ISTES Organization.
• Ates, O., & Eryilmaz, A. (2011). Effectiveness of hands-on and minds-on activities on students’ achievement and attitudes towards physics. Asia-Pacific Forum on Science Learning and Teaching, 12(1), 6.
• Barsalou, L. W. (2016). On staying grounded and avoiding quixotic dead ends. Psychonomic Bulletin & Review, 23(4), 1122-1142. https://doi.org/10.3758/s13423-016-1028-3
• Bigler, A., & Hanegan, N. L. (2010). Student content knowledge increases after participation in a hands-on biotechnology intervention. Journal of Science Education and Technology, 20(3), 246-257. https://doi.org/10.1007/s10956-010-9250-7
• Bloom, B. (1956). Taxonomy of educational objectives: The classification of educational goals. Susan Fauer Company. https://ci.nii.ac.jp/naid/10025289849/
• Breslyn, W., & Green, A. E. (2022b). Learning science with YouTube videos and the impacts of COVID-19. Disciplinary and Interdisciplinary Science Education Research, 4, 13. https://doi.org/10.1186/s43031-022-00051-4
• Bryce, C. M., Baliga, V. B., De Nesnera, K. L., Fiack, D., Goetz, K. T., Tarjan, L. M., Wade, C. E., Yovovich, V., Baumgart, S., Bard, D., Ash, D., Parker, I. M., & Gilbert, G. S. (2016). Exploring models in the biology classroom. American Biology Teacher, 78(1), 35-42. https://doi.org/10.1525/abt.2016.78.1.35
• CAST. (2018). Universal design for learning guidelines version 2.2. http://udlguidelines.cast.org
• Castro-Alonso, J. C., Ayres, P., & Paas, F. (2014). Learning from observing hands in static and animated versions of non-manipulative tasks. Learning and Instruction, 34, 11-21. https://doi.org/10.1016/j.learninstruc.2014.07.005
• Chen, J. C., Huang, Y. W., Lin, K. Y., Chang, Y. S., Lin, H. C., Lin, C. Y., & Hsiao, H. S. (2019). Developing a hands-on activity using virtual reality to help students learn by doing. Journal of Computer Assisted Learning, 36(1), 46-60. https://doi.org/10.1111/jcal.12389
• Crawford, A. J., Butler-Henderson, A. K., Jurgen, R., Malkawi, H. B., Glowatz, M., Burton, R., Magni, A. P., & Lam, S. (2020). COVID-19: 20 countries’ higher education intra-period digital pedagogy responses. Journal of Applied Learning & Teaching, 3(1), 9-28. https://doi.org/10.37074/jalt.2020.3.1.7
• Crompton, H., & Burke, D. (2020). Mobile learning and pedagogical opportunities: A configurative systematic review of PreK-12 research using the SAMR framework. Computers & Education, 156, 103945. https://doi.org/10.1016/j.compedu.2020.103945
• Dewey, J. (1902). The child and the curriculum. University of Chicago Press.
• Dewey, J. (1916). Democracy and education: An introduction to the philosophy of education. MacMillan.
• Dewey, J. (1938). The later works of John Dewey, volume 12, 1925-1953: 1938, logic: The theory of inquiry. SIU Press.
• Duan, X. Y. (2021). The influence of hands-on learning on the modeling ability of junior high school students——based on the analysis of biology online and offline teaching practice. https://doi.org/10.27287/d.cnki.gsxsu.2021.000536
• Flick, L. B. (1993). The meanings of hands-on science. Journal of Science Teacher Education, 4(1), 1-8. https://doi.org/10.1007/bf02628851
• Foglia, L., & Wilson, R. A. (2013). Embodied cognition. Wiley Interdisciplinary Reviews: Cognitive Science, 4(3), 319-325. https://doi.org/10.1002/wcs.1226
• Gallagher, S. (2005). How the body shapes the mind. Oxford University Press. https://doi.org/10.1093/0199271941.001.0001
• Giannakos, M. N., Krogstie, J., & Aalberg, T. (2015). Toward a learning ecosystem to support flipped Classroom: A conceptual framework and early results. In Lecture notes in educational technology (pp. 105-114). https://doi.org/10.1007/978-981-287-868-7_12
• Gilbert, J. K., Boulter, C. J., & Elmer, R. (2000). Positioning models in science education and in design and technology education. In J. K. Gilbert, & C. J. Boulter (Eds.), Developing models in science education (pp. 3-17). Springer. https://doi.org/10.1007/978-94-010-0876-1_1
• Gorhan, M. F., Oncu, S., & Senturk, A. (2014). Tablets in education: Outcome expectancy and anxiety of middle school students. Educational Sciences: Theory and Practice, 14(6), 2259-2271.
• Gregorcic, B., & Haglund, J. (2018b). Conceptual blending as an interpretive lens for student engagement with technology: Exploring celestial motion on an interactive whiteboard. Research in Science Education, 51(2), 235-275. https://doi.org/10.1007/s11165-018-9794-8
• Halloun, I. A. (2006). Mediated modeling in science education. Science & Education, 16(7-8), 653-697. https://doi.org/10.1007/s11191-006-9004-3
• Haury, D. L., & Rillero, P. (1994). Perspectives of hands-on science teaching. ERIC Clearing House for Science, Mathematics, and Environmental Education. http://files.eric.ed.gov/fulltext/ED372926.pdf
• Haβler, B., Major, L., & Hennessy, S. (2015). Tablet use in schools: A critical review of the evidence for learning outcomes. Journal of Computer Assisted Learning, 32(2), 139-156. https://doi.org/10.1111/jcal.12123
• Henze, I., & van Driel, J. H. (2011). Science teachers’ knowledge about learning and teaching models and modeling in public understanding of science. In M. Khine, & I. Saleh (Eds.), Models and modeling: Models and modeling in science education (pp. 239-261). Springer. https://doi.org/10.1007/978-94-007-0449-7_11
• Hirca, N. (2013). The influence of hands on physics experiments on scientific process skills according to prospective teachers’ experiences. European Journal of Physics Education, 4(1), 1-9.
• Hodges, C. B., Moore, S. L., Lockee, B. B., Trust, T., & Bond, M. A. (2020). The difference between emergency remote teaching and online learning. Educase. https://vtechworks.lib.vt.edu/handle/10919/104648
• Hollenbeck, J. E. (2021). Taking the traditionally taught classroom to the inquiry-based online. https://elib.bsu.by/bitstream/123456789/269200/1/117.pdf
• Holstermann, N., Grube, D., & Bögeholz, S. (2009). Hands-on activities and their influence on students’ interest. Research in Science Education, 40(5), 743-757. https://doi.org/10.1007/s11165-009-9142-0
• Hong, J., Liu, Y., Liu, Y., & Zhao, L. (2021). High school students’ online learning ineffectiveness in experimental courses during the COVID-19 pandemic. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.738695
• Jaber, L. Z., & Hammer, D. (2016). Learning to feel like a scientist. Science Education, 100(2), 189-220. https://doi.org/10.1002/sce.21202
• Jazwa, K. A. (2017). Hands-on learning for classics: Building an effective, long-term project. The Journal of Classics Teaching, 18(36), 1-7. https://doi.org/10.1017/s2058631017000137
• Justi, R., & Gilbert, J. K. (2002). Science teachers’ knowledge about and attitudes towards the use of models and modelling in learning science. International Journal of Science Education, 24(12), 1273-1292. https://doi.org/10.1080/09500690210163198
• Kemmerer, D., Miller, L., MacPherson, M. K., Huber, J., & Tranel, D. (2013). An investigation of semantic similarity judgments about action and non-action verbs in Parkinson’s disease: Implications for the embodied cognition framework. Frontiers in Human Neuroscience, 7, 146. https://doi.org/10.3389/fnhum.2013.00146
• Kibga, E., Sentongo, J., & Gakuba, E. (2021). Effectiveness of hands-on activities to develop chemistry learners curiosity in community secondary schools in Tanzania. Journal of Turkish Science Education, 18(4), 605-621. https://doi.org/10.36681/tused.2021.93
• Kim, B., Pathak, S. A., Jacobson, M. J., Zhang, B., & Gobert, J. D. (2015). Cycles of exploration, reflection, and consolidation in model-based learning of genetics. Journal of Science Education and Technology, 24(6), 789-802. https://doi.org/10.1007/s10956-015-9564-6
• Klahr, D., Triona, L. M., & Williams, C. (2007). Hands on what? The relative effectiveness of physical versus virtual materials in an engineering design project by middle school children. Journal of Research in Science Teaching, 44(1), 183-203. https://doi.org/10.1002/tea.20152
• Kontra, C., Goldin-Meadow, S., & Beilock, S. L. (2012). Embodied learning across the life span. Topics in Cognitive Science, 4(4), 731-739. https://doi.org/10.1111/j.1756-8765.2012.01221.x
• Krell, M., Belzen, A. U. Z., & Krüger, D. (2013). Students’ levels of understanding models and modelling in Biology: Global or aspect-dependent? Research in Science Education, 44(1), 109-132. https://doi.org/10.1007/s11165-013-9365-y
• Kurtz, H. (2020). National survey tracks impact of coronavirus on schools: 10 key findings. Education Week. https://www.edweek.org/ew/articles/2020/04/10/national-survey-tracks-impact-of-coronavirus-on.html
• Lakoff, G., & Johnson, M. (1999). Philosophy in the flesh: The embodied mind and its challenge to Western thought. Basic Books.
• Liu, X. (2006). Effects of combined hands-on laboratory and computer modeling on student learning of gas laws: A quasi-experimental study. Journal of Science Education and Technology, 15(1), 89-100. https://doi.org/10.1007/s10956-006-0359-7
• Lombard, F., & Costa, D. J., & Weiss, L. (2023). Teaching with digital biology: Opportunities from authentic sequences and 3D models. Progress in Science Education, 6(1), 80-97. https://doi.org/10.25321/prise.2023.1389
• Louca, L. Τ., & Zacharia, Z. C. (2012). Modeling-based learning in science education: Cognitive, metacognitive, social, material and epistemological contributions. Educational Review, 64(4), 471-492. https://doi.org/10.1080/00131911.2011.628748
• Lumpe, A. T., & Oliver, J. S. (1991). Dimensions of hands-on science. The American Biology Teacher, 53(6), 345-348. https://doi.org/10.2307/4449322
• Ma, J., & Nickerson, J. V. (2006b). Hands-on, simulated, and remote laboratories. ACM Computing Surveys, 38(3), 7. https://doi.org/10.1145/1132960.1132961
• Macrine, S. L., & Fugate, J. M. (2022). Movement matters: How embodied cognition informs teaching and learning. MIT Press. https://doi.org/10.7551/mitpress/13593.001.0001
• Mahon, B. Z., & Caramazza, A. (2008). A critical look at the embodied cognition hypothesis and a new proposal for grounding conceptual content. Journal of Physiology-Paris, 102(1-3), 59-70. https://doi.org/10.1016/j.jphysparis.2008.03.004
• Malone, K., Schunn, C. D., & Schuchardt, A. (2017). Improving conceptual understanding and representation skills through excel-based modeling. Journal of Science Education and Technology, 27(1), 30-44. https://doi.org/10.1007/s10956-017-9706-0
• Mang, C. F., & Wardley, L. J. (2013). Student perceptions of using tablet technology in postsecondary classes. Canadian Journal of Learning and Technology, 39(4), 1-16. https://doi.org/10.21432/t22010
• MoE. (2022). Biology curriculum standards for compulsory education. Beijing Normal University Press.
• NGSS Lead States. (2013). Next generation science standards: For states, by states. National Academies Press.
• NSTA. (2016). Position statement of e-learning in science education. National Science Teaching Association. https://www.nsta.org/nstas-official-positions/role-e-learning-science-education
• Pirttimaa, M., Husu, J., & Metsärinne, M. (2015). Uncovering procedural knowledge in craft, design, and technology education: A case of hands-on activities in electronics. International Journal of Technology and Design Education, 27(2), 215-231. https://doi.org/10.1007/s10798-015-9345-9
• Prokop, P., & Fančovičová, J. (2016). The effect of hands-on activities on children’s knowledge and disgust for animals. Journal of Biological Education, 51(3), 305-314. https://doi.org/10.1080/00219266.2016.1217910
• Rapanta, C., Botturi, L., Goodyear, P., Ortiz, L. G., & Koole, M. (2020). Online university teaching during and after the COVID-19 crisis: Refocusing teacher presence and learning activity. Postdigital Science and Education, 2(3), 923-945. https://doi.org/10.1007/s42438-020-00155-y
• Rowlands, M. J. (2013). The new science of the mind: From extended mind to embodied phenomenology. National Geographic Books.
• Ruby, A. (2001). Hands-on science and student achievement [Dissertation, RAND Graduate School].
• Schneider, K. D. (2016). Hands-on learning: Some history and some principles. University of Geneva. https://tecfa.unige.ch/tecfa/talks/schneide/odd-2016/Hands-on%20learning.pdf
• Sekulich, K. M. (2020). Developing an online community of learners. Delta Kappa Gamma. https://pesquisa.bvsalud.org/global-literature-on-novel-coronavirus-2019-ncov/resource/en/covidwho-903454
• Shapiro, L. A. (2014). The Routledge handbook of embodied cognition. Routledge. https://doi.org/10.4324/9781315775845
• Shavelson, R. J. & Towne, L. (2002). Scientific research in education. National Academy Press.
• Stauffer, B. (2020). What’s the difference between online learning and distance learning? Applied Educational Systems.
• Steinbuch, K. (1977). Denken in modellen [Thinking in models]. In G. Schaefer, G. Trommer, & K. Wenk (Eds.), Denken in modellen [Thinking in models] (pp. 10-17). Westermann.
• Sullivan, J. V. (2018). Learning and embodied cognition: A review and proposal. Psychology, Learning and Teaching, 17(2), 128-143. https://doi.org/10.1177/1475725717752550
• Taber, K. S. (2017). The use of Cronbach’s alpha when developing and reporting research instruments in science education. Research in Science Education, 48(6), 1273-1296. https://doi.org/10.1007/s11165-016-9602-2
• Tancredi, S., Chen, R. S. Y., Krause, C. M., & Siu, Y. (2022b). The need for SpEED: Reimagining accessibility through special education embodied design. In S. L. Macrine, & J. M. B. Fugate (Eds.), Movement matters: How embodies cognition informs teaching and learning (pp. 197-216). The MIT Press. https://doi.org/10.7551/mitpress/13593.003.0021
• Tao, X. Z. (1981). Education transformation in China. Anhui Renmin Press.
• Triona, L. M., & Klahr, D. (2007). Hands-on science: Does it matter what students’ hands are on? The Science Education Review, 6(4), 126-130.
• Trust, T., & Whalen, J. (2020). Should teachers be trained in emergency remote teaching? Lessons learned from the COVID-19 pandemic. The Journal of Technology and Teacher Education, 28(2), 189-199.
• Upmeier zu Belzen, A. (2013). Modelle [Models]. In H. Großengießer, U. Harms, & U. Kattmann (Eds.), Fachdidaktik biologie [Biology education] (pp. 325-334). Aulis Verlag.
• Upmeier zu Belzen, A., & Krüger, D. (2010). Model competence in biology education. Zeitschrift für Didaktik der Naturwissenschaften [Journal for Didactics of Natural Sciences], 16, 41-57.
• Uribe, C. (2020). Education in the time of COVID-19. UNESCO. https://unesdoc.unesco.org/ark:/48223/pf0000374075_eng
• Varela, F., Thompson, E., & Rosch, E. (1991). The embodied mind: Cognitive science and human experience. The MIT Press. https://doi.org/10.7551/mitpress/6730.001.0001
• Wang, Y. J., Lee, S. W. Y., Liu, C., Lin, P. C., & Chen, W. (2021). Investigating the links between students’ learning engagement and modeling competence in computer-supported modeling-based activities. Journal of Science Education and Technology, 30(6), 751-765. https://doi.org/10.1007/s10956-021-09916-1
• Werner, S., Förtsch, C., Boone, W. J., Von Kotzebue, L., & Neuhaus, B. J. (2017). Investigating how German biology teachers use three-dimensional physical models in classroom instruction: A video study. Research in Science Education, 49(2), 437-463. https://doi.org/10.1007/s11165-017-9624-4
• WHO. (2023). Statement on the 15^th Meeting of the IHR (2005) Emergency Committee on the COVID-19 Pandemic. World Health Organization. https://www.who.int/news/item/05-05-2023-statement-on-the-fifteenth-meeting-of-the-international-health-regulations-(2005)-emergency-committee-regarding-the-coronavirus-disease-(covid-19)-pandemic
• Wilkinson, K., & Barter, P. (2016). Do mobile learning devices enhance learning in higher education anatomy classrooms? Journal of Pedagogic Development, 6(1), 14-23.
• Wisanti, Ambawati, R., Putri, E., Rahayu, D. A., & Khaleyla, F. (2021). Science online learning during the COVID-19 pandemic: Difficulties and challenges. Journal of Physics: Conference Series, 1747, 012007. https://doi.org/10.1088/1742-6596/1747/1/012007
• Yang, Q., Huo, J., & Yang, S. Y. (2020). Development of biological model evaluation scale in the senior high school. Teaching and Administration, 1, 59-61.
• Yengin, I., Karahoca, D., Karahoca, A., & Yucel, A. (2010). Roles of teachers in e-learning: How to engage students & how to get free e-learning and the future. Procedia-Social and Behavioral Sciences, 2(2), 5775-5787. https://doi.org/10.1016/j.sbspro.2010.03.942
• Yildiz, N. (2014). The effect of hands-on-activities in biology on student performance and attitude. In Proceedings of the International Conference of the Future of Education.
• Zhang, R. H., Duan, X. Y., Hua, Y. P., & Ji, Q. Q. (2021). The compilation of the evaluation scale of hands-on learning works from the perspective of embodied cognition. Biology Teaching, 46(4), 27-29. https://doi.org/10.3969/j.issn.1004-7549.2021.04.011.
• Zhou, Y., & Xiang, M. (2010). Tao xingzhi chuan. Sichuan Education Press.
• Zona, C. I., Raab, M., & Fischer, M. H. (2018). Embodied perspectives on behavioral cognitive enhancement. Journal of Cognitive Enhancement, 3(2), 144-160. https://doi.org/10.1007/s41465-018-0102-3

APA

Ji, Q., Zhang, R., Duan, X., Tripp, J. N., Liu, X., & Cheng, C. (2024). Using hands-on learning video assignments in online and in-person contexts: A longitudinal study. Eurasia Journal of Mathematics, Science and Technology Education, 20(7), em2466. https://doi.org/10.29333/ejmste/14706

Vancouver

Ji Q, Zhang R, Duan X, Tripp JN, Liu X, Cheng C. Using hands-on learning video assignments in online and in-person contexts: A longitudinal study. EURASIA J Math Sci Tech Ed. 2024;20(7):em2466. https://doi.org/10.29333/ejmste/14706

AMA

Ji Q, Zhang R, Duan X, Tripp JN, Liu X, Cheng C. Using hands-on learning video assignments in online and in-person contexts: A longitudinal study. EURASIA J Math Sci Tech Ed. 2024;20(7), em2466. https://doi.org/10.29333/ejmste/14706

Chicago

Ji, Qingqing, Ronghua Zhang, Xiaoyun Duan, Jennifer N. Tripp, Xiufeng Liu, and Chenyang Cheng. "Using hands-on learning video assignments in online and in-person contexts: A longitudinal study". Eurasia Journal of Mathematics, Science and Technology Education 2024 20 no. 7 (2024): em2466. https://doi.org/10.29333/ejmste/14706

Harvard

Ji, Q., Zhang, R., Duan, X., Tripp, J. N., Liu, X., and Cheng, C. (2024). Using hands-on learning video assignments in online and in-person contexts: A longitudinal study. Eurasia Journal of Mathematics, Science and Technology Education, 20(7), em2466. https://doi.org/10.29333/ejmste/14706

MLA

Ji, Qingqing et al. "Using hands-on learning video assignments in online and in-person contexts: A longitudinal study". Eurasia Journal of Mathematics, Science and Technology Education, vol. 20, no. 7, 2024, em2466. https://doi.org/10.29333/ejmste/14706