Formação da atividade cognitiva de estudantes técnicos universitários utilizando elementos de aprendizagem combinada no estudo da física quântica
DOI:
https://doi.org/10.20952/revtee.v14i33.15296Palavras-chave:
Aprendizagem eletrônica, Aprendizagem tradicional, Palestra, Nível de atividade cognitiva, AlunosResumo
O estudo tem como objetivo analisar a oportunidade de utilizar as capacidades do LMS Moodle para a implementação de blended learning em física em uma universidade técnica no estudo da física quântica. São analisadas as oportunidades apresentadas pelo ambiente online Moodle. É demonstrado que o aprendizado online combinado com o aprendizado presencial melhora muito os resultados do aprendizado. Um instrumento para e-learning em física quântica no ambiente Moodle é descrito e suas capacidades educacionais são determinadas. O artigo examina o método de criação de modelos de computador usando o Easy Gif Animator. A modelagem é examinada como um meio de promover a formação da atividade cognitiva dos alunos. O uso de modelagem e experimentos mentais contribui para melhorar a compreensão dos alunos sobre experimentos da vida real e teorias da física. Os resultados do estudo suportam a hipótese de que a introdução de um componente de aprendizagem eletrônica no ensino de física quântica aumentará os níveis de atividade cognitiva dos alunos.
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Referências
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Araujo, A., & Silva, I. P. (2020). Maker culture and educational robotics in physics teaching: developing an automated traffic light in high school. Journal of Research and Knowledge Spreading, 1(1), e11654.
Boelens, R., Voet, M., & De Wever, B. (2018). The design of blended learning in response to student diversity in higher education: Instructors’ views and use of differentiated instruction in blended learning. Computers & Education, 120, 197-212. https://doi.org/10.1016/j.compedu.2018.02.009
Bowyer, J., & Chambers, L. (2017). Evaluating blended learning: Bringing the elements together. Research Matters: A Cambridge Assessment publication, 23, 17-26.
Cracker, D. (2006). Attitudes towards science of Students enrolled in Introductory Level Science Courses UW-L. Journal of Undergraduate Research, IX, 1-6.
Dangwal, K. L. (2017). Blended Learning: An Innovative Approach. Universal Journal of Educational Research, 5(1), 129-136. https://doi.org/10.13189/ujer.2017.050116
De George-Walker, L., & Keeffe, M. (2010). Self-determined blended learning: A case study of blended learning design. Higher Education Research & Development, 29(1), 1-13. https://doi.org/10.1080/07294360903277380
Demirer, V., & Sahin, I. (2013). Effect of blended learning environment on transfer of learning: An experimental study. The Journal of Computer Assisted Learning, 29, 518–529. https://doi.org/10.1111/jcal.12009
Dudin, M. N., Bezbakh, V. V., Galkina, M. V., Rusakova, E. P., & Zinkovsky, S. B. (2019). Stimulating Innovation Activity in Enterprises within the Metallurgical Sector: the Russian and International Experience. TEM Journal-Technology Education Management Informatics, 8(4), 1366-1370. https://doi.org/10.18421/TEM84-38
Dudin, M. N., & Shishalova, Yu. S. (2019). Development of Effective Education and Training System in the Context of the Transition to International Accreditation. European Journal of Contemporary Education, 8(1), 118-127. https://doi.org/10.13187/EJCED.2019.1.118
Engelbertink, M. M. J., Kelders, S. M., Woudt-Mittendorff, K. M., & Westerhof, G. J. (2020). Participatory design of persuasive technology in a blended learning course: A qualitative study. The Journal of Education and Information Technologies, 25(5), 4115-4138. https://doi.org/10.1007/s10639-020-10147-x
Eryilmaz, A., Yildiz, I., & Akin, S. (2011). Investigating of Relationship between Attitudes towards Physics Laboratories, Motivation and Amotivation for the Class Engagement. Eurasian Journal of Physics and Chemistry Education, Jan.(Special), 59-64.
Evans, J. C., Yip, H., Chan, K., Armatas, C., & Tse, A. (2019). Blended learning in higher education: professional development in a Hong Kong university. Higher Education Research and Development, 39(4), 1-14. https://doi.org/10.1080/07294360.2019.1685943
Garrison, D. R., & Kanuka, H. (2004). Blended learning: Uncovering its transformative potential in higher education. The Internet and Higher Education, 7(2), 95-105. https://doi.org/10.1016/j.iheduc.2004.02.001
Graham, C. R. (2006). Blended Learning Systems: Definition, Current Trends, and Future Directions. In: Bonk, C. J., Graham, Ch. R. (Eds.). The Handbook of Blended Learning: Global Perspectives, Local Designs. San Francisco: Pfeiffer Publ., pp. 3–21.
Guido, R. M. D. (2013). Attitude and Motivation towards Learning Physics. International Journal of Engineering Research & Technology, 2(11), 2087-2094.
Henze, I., Van Driel, J., & Verloop, N. (2007). The change of science teachers’ personal knowledge about teaching models and modelling in the context of science education reform. International Journal of Science Education, 29(15), 1819–1846. https://doi.org/10.1080/09500690601052628
Hughes, R. I. G. (1997). Models and Representation. Philosophy of Science, 64, 325-336. https://doi.org/10.1086/392611
Jeffrey, L. M., Milne, J., Suddaby, G., & Higgins, A. (2014). Blended learning: How teachers balance the blend of online and classroom components. Journal of Information Technology Education: Research, 13, 121-140. https://doi.org/10.28945/1968
Judrups, J. (2015). Analysis of knowledge management and e-learning integration models. Procedia Computer Science, 43, 154-162. https://doi.org/10.1016/j.procs.2014.12.021
Justi, R. S., & 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
Kim, K. - J., Bonk, C. J., & Oh, E. J. (2008). The Present and Future State of Blended Learning in Workplace Learning Settings in the United States. Performance Improvement, 47(8), 5-16. https://doi.org/10.1002/pfi.20018
Krajcik, J., McNeill, K. L., & Reiser, B. J. (2008). Learning-goals-driven design model: Developing curriculum materials that align with national standards and incorporate project-based pedagogy. Science Education, 92(1), 1–32. https://doi.org/10.1002/sce.20240
Launer, R. (2010). Five assumptions on blended learning: What is important to make blended learning a successful concept? In: Tsang, P., Cheung, S. K. S., Lee, V.
S. K., Huang, R. (Eds.). Hybrid Learning. ICHL 2010. Lecture Notes in Computer Science, vol. 6248. Berlin, Heidelberg: Springer, pp. 9-15. https://doi.org/10.1007/978-3-642-14657-2_2
Lehrer, R., & Schauble, L. (2004). Modeling natural variation through distribution. American Educational Research Journal, 41(3), 635–679. https://doi.org/10.3102/00028312041003635
Levy, Y. (2007). Comparing dropouts and persistence in e-learning courses. Computers & Education, 48(2), 185-204. https://doi.org/10.1016/j.compedu.2004.12.004
Lim, C. P., & Wang, L. (2017). Blended learning for quality higher education: selected case studies on implementation from Asia-Pacific. Bangkok: UNESCO Bangkok Office, 314 p.
Lowe, D. (2013). Roadmap of a blended learning model for online faculty development. Invited feature article in Distance Education Report, 17(6), 1-7.
Ma, C. - M., Chao, C. - M., & Cheng, B. - W. (2013). Integrating Technology Acceptance Model and Task-technology Fit into Blended E-learning System. Journal of Applied Sciences, 13(5), 736–742. https://doi.org/10.3923/jas.2013.736.742
Mansvelt, J., Suddaby, G., O'Hara, D., & Gilbert, A. (2009). Professional development: Assuring quality in e-learning policy and practice. Quality Assurance in Education, 17(3), 233-249. https://doi.org/10.1108/09684880910970641
Means, B., Toyama, Y., Murphy, R., & Baki, M. (2013). The effectiveness of online and blended learning: A meta-analysis of the empirical literature. Teachers College Record, 115(3), 1-47.
Morrison, M. (1998). Modelling Nature: Between Physics and the Physical World. Philosophia Naturalis, 35, 65-85.
Moskal, P., Dziuban, C., & Hartman, J. (2013). Blended learning: A dangerous idea? The Internet and Higher Education, 18, 15–23. https://doi.org/10.1016/j.iheduc.2012.12.001
Napier, N., Dekhane, S., & Smith, S. (2011). Transitioning to blended learning: Understanding student and faculty perceptions. Journal of Asychronous Online Learning, 15(1), 20-32. https://doi.org/10.24059/olj.v15i1.188
Oproiu, G. C. (2015). A Study about Using E-learning Platform (Moodle) in Univeristy Teaching Process. Procedia-Social and Behavioral Sciences, 180, 426-432. https://doi.org/10.1016/j.sbspro.2015.02.140
Osguthorpe, R. T., & Graham, C. R. (2003). Blended learning environments: Definitions and directions. The Quarterly Review of Distance Education, 4(3), 227-233.
Oliveira, A. M., Gerevini, A. M., & Strohschoen, A. A. G. (2017). Diário de bordo: uma ferramenta metodológica para o desenvolvimento da alfabetização científica. Revista Tempos e Espaços em Educação, 10(22), 119-132.
Pavel, A. P., Fruth, A., & Neacsu, M. N. (2015). ICT and E-Learning: Catalysts for Innovation and Quality in Higher Education. Procedia Economics and Finance, 23, 704–711. https://doi.org/10.1016/s2212-5671(15)00409-8
Picciano, A. G. (2009). Blending with purpose: The multimodal model. Journal of Asynchronous Learning Networks, 13(1), 7–18. https://doi.org/10.24059/olj.v13i1.1673
Poon, J. (2013). Blended learning: An institutional approach for enhancing students' learning experiences. Journal of Online Learning and Teaching, 9(2), 271-288.
Rooney, J. E. (2003). Blending learning opportunities to enhance educational programming and meetings. Association Management, 55(5), 26-32.
Rovai, A. P., & Jordan, H. M. (2004). Blended learning and sense of community: A comparative analysis with traditional and fully online graduate courses. International Review of Research in Open and Distance Learning, 5(2), 1-13. https://doi.org/10.19173/irrodl.v5i2.192
Rodrigues, B. M., Santos, J. E. B., & Vasconcelos, C. A. (2020). Conceptions of undergraduate students in Chemistry on the use of interactive interfaces in and for the activities developed in the distance course. Journal of Research and Knowledge Spreading, 1(1), e11649.
Sanchez, R. A., & Hueros, A. D. (2010). Motivational factors that influence the acceptance of Moodle using TAM. Computers in Human Behavior, 26(6), 1632-1640. https://doi.org/10.1016/j.chb.2010.06.011
Sarmadi, M. R., Farajollahi, M., Saeidipour, B., & Ahmadifar, M. (2016). The impact of lecturers' thinking styles on students' creativity in distance higher education. The Turkish Online Journal of Distance Education, 17(4), 105-117. https://doi.org/10.17718/tojde.87234
Schwarz, C. V., & White, B. Y. (2005). Metamodeling knowledge: Developing students’ understanding of scientific modeling. Cognition and Instruction, 23(2), 165–205. https://doi.org/10.1207/s1532690xci2302_1
Selwyn, N. (2007). The use of computer technology in university teaching and learning: A critical perspective. Journal of Computer Assisted Learning, 23(2), 83-94. https://doi.org/10.1111/j.1365-2729.2006.00204.x
Shan, J. (2012). Design of an Online Learning Platform with Moodle. In: The 7th International Conference on Computer Science & Education (ICCSE 2012), Melbourne, Australia, pp. 1710-1714. https://doi.org/10.1109/ICCSE.2012.6295395
Shaw, L., & Kennepohl, D. (2013). Student and faculty outcomes of undergraduate science research projects by geographically dispersed students. International Review of Research in Open and Distributed Learning, 14(5), 69-81. https://doi.org/10.19173/irrodl.v14i5.1551
Santos, J. E. B. (2020). Cartographic narratives: the teaching of mathematics and ICT. Journal of Research and Knowledge Spreading, 1(1), e11645
Snir, J., Smith, C. L., & Raz, G. (2003). Linking phenomena with competing underlying models: A software tool for introducing students to the particulate model of matter. Science Education, 87(6), 794–830. https://doi.org/10.1002/sce.10069
Stockwell, B. R., Stockwell, M. S., Cennamo, M., & Jiang, E. (2015). Blended Learning Improves Science Education. Cell, 162(5), 933–936. https://doi.org/10.1016/j.cell.2015.08.009
Swenson, P. W., & Redmond, P. A. (2009). Online, hybrid, and blended coursework and the practice of technology-integrated teaching and learning within teacher education. Issues in Teacher Education, 18(2), 3-10.
Tynan, B., Ryan, Y., & Lamont-Mills, A. (2015). Examining workload models in online and blended teaching. British Journal of Educational Technology, 46(1), 5-15. https://doi.org/10.1111/bjet.12111
Windschitl, M., Thompson, J., & Braaten, M. (2008). Beyond the scientific method: Model-based inquiry as a new paradigm of preference for school science investigations. Science Education, 92(5), 941–967. https://doi.org/10.1002/sce.20259
Woods, R., Baker, J. D., & Hopper, D. (2004). Hybrid structures: Faculty use and perception of web-based courseware as a supplement to face-to-face instruction. Internet and Higher Education, 7(4), 281-297. https://doi.org/10.1016/j.iheduc.2004.09.002
Araujo, A., & Silva, I. P. (2020). Maker culture and educational robotics in physics teaching: developing an automated traffic light in high school. Journal of Research and Knowledge Spreading, 1(1), e11654.
Boelens, R., Voet, M., & De Wever, B. (2018). The design of blended learning in response to student diversity in higher education: Instructors’ views and use of differentiated instruction in blended learning. Computers & Education, 120, 197-212. https://doi.org/10.1016/j.compedu.2018.02.009
Bowyer, J., & Chambers, L. (2017). Evaluating blended learning: Bringing the elements together. Research Matters: A Cambridge Assessment publication, 23, 17-26.
Cracker, D. (2006). Attitudes towards science of Students enrolled in Introductory Level Science Courses UW-L. Journal of Undergraduate Research, IX, 1-6.
Dangwal, K. L. (2017). Blended Learning: An Innovative Approach. Universal Journal of Educational Research, 5(1), 129-136. https://doi.org/10.13189/ujer.2017.050116
De George-Walker, L., & Keeffe, M. (2010). Self-determined blended learning: A case study of blended learning design. Higher Education Research & Development, 29(1), 1-13. https://doi.org/10.1080/07294360903277380
Demirer, V., & Sahin, I. (2013). Effect of blended learning environment on transfer of learning: An experimental study. The Journal of Computer Assisted Learning, 29, 518–529. https://doi.org/10.1111/jcal.12009
Dudin, M. N., Bezbakh, V. V., Galkina, M. V., Rusakova, E. P., & Zinkovsky, S. B. (2019). Stimulating Innovation Activity in Enterprises within the Metallurgical Sector: the Russian and International Experience. TEM Journal-Technology Education Management Informatics, 8(4), 1366-1370. https://doi.org/10.18421/TEM84-38
Dudin, M. N., & Shishalova, Yu. S. (2019). Development of Effective Education and Training System in the Context of the Transition to International Accreditation. European Journal of Contemporary Education, 8(1), 118-127. https://doi.org/10.13187/EJCED.2019.1.118
Engelbertink, M. M. J., Kelders, S. M., Woudt-Mittendorff, K. M., & Westerhof, G. J. (2020). Participatory design of persuasive technology in a blended learning course: A qualitative study. The Journal of Education and Information Technologies, 25(5), 4115-4138. https://doi.org/10.1007/s10639-020-10147-x
Eryilmaz, A., Yildiz, I., & Akin, S. (2011). Investigating of Relationship between Attitudes towards Physics Laboratories, Motivation and Amotivation for the Class Engagement. Eurasian Journal of Physics and Chemistry Education, Jan.(Special), 59-64.
Evans, J. C., Yip, H., Chan, K., Armatas, C., & Tse, A. (2019). Blended learning in higher education: professional development in a Hong Kong university. Higher Education Research and Development, 39(4), 1-14. https://doi.org/10.1080/07294360.2019.1685943
Garrison, D. R., & Kanuka, H. (2004). Blended learning: Uncovering its transformative potential in higher education. The Internet and Higher Education, 7(2), 95-105. https://doi.org/10.1016/j.iheduc.2004.02.001
Graham, C. R. (2006). Blended Learning Systems: Definition, Current Trends, and Future Directions. In: Bonk, C. J., Graham, Ch. R. (Eds.). The Handbook of Blended Learning: Global Perspectives, Local Designs. San Francisco: Pfeiffer Publ., pp. 3–21.
Guido, R. M. D. (2013). Attitude and Motivation towards Learning Physics. International Journal of Engineering Research & Technology, 2(11), 2087-2094.
Henze, I., Van Driel, J., & Verloop, N. (2007). The change of science teachers’ personal knowledge about teaching models and modelling in the context of science education reform. International Journal of Science Education, 29(15), 1819–1846. https://doi.org/10.1080/09500690601052628
Hughes, R. I. G. (1997). Models and Representation. Philosophy of Science, 64, 325-336. https://doi.org/10.1086/392611
Jeffrey, L. M., Milne, J., Suddaby, G., & Higgins, A. (2014). Blended learning: How teachers balance the blend of online and classroom components. Journal of Information Technology Education: Research, 13, 121-140. https://doi.org/10.28945/1968
Judrups, J. (2015). Analysis of knowledge management and e-learning integration models. Procedia Computer Science, 43, 154-162. https://doi.org/10.1016/j.procs.2014.12.021
Justi, R. S., & 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
Kim, K. - J., Bonk, C. J., & Oh, E. J. (2008). The Present and Future State of Blended Learning in Workplace Learning Settings in the United States. Performance Improvement, 47(8), 5-16. https://doi.org/10.1002/pfi.20018
Krajcik, J., McNeill, K. L., & Reiser, B. J. (2008). Learning-goals-driven design model: Developing curriculum materials that align with national standards and incorporate project-based pedagogy. Science Education, 92(1), 1–32. https://doi.org/10.1002/sce.20240
Launer, R. (2010). Five assumptions on blended learning: What is important to make blended learning a successful concept? In: Tsang, P., Cheung, S. K. S., Lee, V.
S. K., Huang, R. (Eds.). Hybrid Learning. ICHL 2010. Lecture Notes in Computer Science, vol. 6248. Berlin, Heidelberg: Springer, pp. 9-15. https://doi.org/10.1007/978-3-642-14657-2_2
Lehrer, R., & Schauble, L. (2004). Modeling natural variation through distribution. American Educational Research Journal, 41(3), 635–679. https://doi.org/10.3102/00028312041003635
Levy, Y. (2007). Comparing dropouts and persistence in e-learning courses. Computers & Education, 48(2), 185-204. https://doi.org/10.1016/j.compedu.2004.12.004
Lim, C. P., & Wang, L. (2017). Blended learning for quality higher education: selected case studies on implementation from Asia-Pacific. Bangkok: UNESCO Bangkok Office, 314 p.
Lowe, D. (2013). Roadmap of a blended learning model for online faculty development. Invited feature article in Distance Education Report, 17(6), 1-7.
Ma, C. - M., Chao, C. - M., & Cheng, B. - W. (2013). Integrating Technology Acceptance Model and Task-technology Fit into Blended E-learning System. Journal of Applied Sciences, 13(5), 736–742. https://doi.org/10.3923/jas.2013.736.742
Mansvelt, J., Suddaby, G., O'Hara, D., & Gilbert, A. (2009). Professional development: Assuring quality in e-learning policy and practice. Quality Assurance in Education, 17(3), 233-249. https://doi.org/10.1108/09684880910970641
Means, B., Toyama, Y., Murphy, R., & Baki, M. (2013). The effectiveness of online and blended learning: A meta-analysis of the empirical literature. Teachers College Record, 115(3), 1-47.
Morrison, M. (1998). Modelling Nature: Between Physics and the Physical World. Philosophia Naturalis, 35, 65-85.
Moskal, P., Dziuban, C., & Hartman, J. (2013). Blended learning: A dangerous idea? The Internet and Higher Education, 18, 15–23. https://doi.org/10.1016/j.iheduc.2012.12.001
Napier, N., Dekhane, S., & Smith, S. (2011). Transitioning to blended learning: Understanding student and faculty perceptions. Journal of Asychronous Online Learning, 15(1), 20-32. https://doi.org/10.24059/olj.v15i1.188
Oproiu, G. C. (2015). A Study about Using E-learning Platform (Moodle) in Univeristy Teaching Process. Procedia-Social and Behavioral Sciences, 180, 426-432. https://doi.org/10.1016/j.sbspro.2015.02.140
Osguthorpe, R. T., & Graham, C. R. (2003). Blended learning environments: Definitions and directions. The Quarterly Review of Distance Education, 4(3), 227-233.
Oliveira, A. M., Gerevini, A. M., & Strohschoen, A. A. G. (2017). Diário de bordo: uma ferramenta metodológica para o desenvolvimento da alfabetização científica. Revista Tempos e Espaços em Educação, 10(22), 119-132.
Pavel, A. P., Fruth, A., & Neacsu, M. N. (2015). ICT and E-Learning: Catalysts for Innovation and Quality in Higher Education. Procedia Economics and Finance, 23, 704–711. https://doi.org/10.1016/s2212-5671(15)00409-8
Picciano, A. G. (2009). Blending with purpose: The multimodal model. Journal of Asynchronous Learning Networks, 13(1), 7–18. https://doi.org/10.24059/olj.v13i1.1673
Poon, J. (2013). Blended learning: An institutional approach for enhancing students' learning experiences. Journal of Online Learning and Teaching, 9(2), 271-288.
Rooney, J. E. (2003). Blending learning opportunities to enhance educational programming and meetings. Association Management, 55(5), 26-32.
Rovai, A. P., & Jordan, H. M. (2004). Blended learning and sense of community: A comparative analysis with traditional and fully online graduate courses. International Review of Research in Open and Distance Learning, 5(2), 1-13. https://doi.org/10.19173/irrodl.v5i2.192
Rodrigues, B. M., Santos, J. E. B., & Vasconcelos, C. A. (2020). Conceptions of undergraduate students in Chemistry on the use of interactive interfaces in and for the activities developed in the distance course. Journal of Research and Knowledge Spreading, 1(1), e11649.
Sanchez, R. A., & Hueros, A. D. (2010). Motivational factors that influence the acceptance of Moodle using TAM. Computers in Human Behavior, 26(6), 1632-1640. https://doi.org/10.1016/j.chb.2010.06.011
Sarmadi, M. R., Farajollahi, M., Saeidipour, B., & Ahmadifar, M. (2016). The impact of lecturers' thinking styles on students' creativity in distance higher education. The Turkish Online Journal of Distance Education, 17(4), 105-117. https://doi.org/10.17718/tojde.87234
Schwarz, C. V., & White, B. Y. (2005). Metamodeling knowledge: Developing students’ understanding of scientific modeling. Cognition and Instruction, 23(2), 165–205. https://doi.org/10.1207/s1532690xci2302_1
Selwyn, N. (2007). The use of computer technology in university teaching and learning: A critical perspective. Journal of Computer Assisted Learning, 23(2), 83-94. https://doi.org/10.1111/j.1365-2729.2006.00204.x
Shan, J. (2012). Design of an Online Learning Platform with Moodle. In: The 7th International Conference on Computer Science & Education (ICCSE 2012), Melbourne, Australia, pp. 1710-1714. https://doi.org/10.1109/ICCSE.2012.6295395
Shaw, L., & Kennepohl, D. (2013). Student and faculty outcomes of undergraduate science research projects by geographically dispersed students. International Review of Research in Open and Distributed Learning, 14(5), 69-81. https://doi.org/10.19173/irrodl.v14i5.1551
Santos, J. E. B. (2020). Cartographic narratives: the teaching of mathematics and ICT. Journal of Research and Knowledge Spreading, 1(1), e11645
Snir, J., Smith, C. L., & Raz, G. (2003). Linking phenomena with competing underlying models: A software tool for introducing students to the particulate model of matter. Science Education, 87(6), 794–830. https://doi.org/10.1002/sce.10069
Stockwell, B. R., Stockwell, M. S., Cennamo, M., & Jiang, E. (2015). Blended Learning Improves Science Education. Cell, 162(5), 933–936. https://doi.org/10.1016/j.cell.2015.08.009
Swenson, P. W., & Redmond, P. A. (2009). Online, hybrid, and blended coursework and the practice of technology-integrated teaching and learning within teacher education. Issues in Teacher Education, 18(2), 3-10.
Tynan, B., Ryan, Y., & Lamont-Mills, A. (2015). Examining workload models in online and blended teaching. British Journal of Educational Technology, 46(1), 5-15. https://doi.org/10.1111/bjet.12111
Windschitl, M., Thompson, J., & Braaten, M. (2008). Beyond the scientific method: Model-based inquiry as a new paradigm of preference for school science investigations. Science Education, 92(5), 941–967. https://doi.org/10.1002/sce.20259
Woods, R., Baker, J. D., & Hopper, D. (2004). Hybrid structures: Faculty use and perception of web-based courseware as a supplement to face-to-face instruction. Internet and Higher Education, 7(4), 281-297. https://doi.org/10.1016/j.iheduc.2004.09.002
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2021-02-27
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Denisova, D. A., Levanova, N. G., Evgrafova, I. V., & Verkhovod, A. S. (2021). Formação da atividade cognitiva de estudantes técnicos universitários utilizando elementos de aprendizagem combinada no estudo da física quântica. Revista Tempos E Espaços Em Educação, 14(33), e15296. https://doi.org/10.20952/revtee.v14i33.15296
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