Open Access
SHS Web Conf.
Volume 75, 2020
The International Conference on History, Theory and Methodology of Learning (ICHTML 2020)
Article Number 04011
Number of page(s) 8
Section Methodology of Learning, Education and Training
Published online 26 March 2020
  1. I. Yarullin, N. Bushmeleva, I. Tsyrkun, Mathematics Education 10(3),137–146 (2015) [Google Scholar]
  2. A. ScHoenfeld, in Proceedings of the Fourth International Congress on Mathematical Education, California, 1983 [Google Scholar]
  3. R. Turner, Research developments. A 5, 24 (2010) [Google Scholar]
  4. A. Vintere, A. Zeidmane, Research in mathematical competence in engineers’ professional activities engineering for rural development. Paper presented at the 13th International Scientific Conference Engineering for Rural Development, University of Agriculture Faculty of Engineering, Jelgava, 29-30 May 2014 [Google Scholar]
  5. J. Proulx, For the learning of mathematics 35 (3),25¬27 (2015) [Google Scholar]
  6. B. Koichu, A. Pinto, Canadian J. of Sc., Math. and Techn. Ed. 18 (1),68–85 (2018) [Google Scholar]
  7. J. Lithner, Mathematical reasoning and familiar procedures. Int. J. of Math. Ed. in Sc. and Techn. 31 (1),83–95 (2000). doi: 10.1080/002073900287417 [Google Scholar]
  8. C. Bonwell, J.Eison, Active Learning: Creating Excitement in the classroom , ASHE-ERIC Higher Education Report No. 1. Washington, DC: George Washington University (1991) [Google Scholar]
  9. E. Fallon, S. Walsh, T. Prendergast, An Activity- based Approach to the Learning and Teaching of Research Methods: Measuring Student Engagement and Learning. Irish Journal of Academic Practice 2 (1), 2 (2013). doi:10.21427/D7Q72W [Google Scholar]
  10. P. Hernandez-Martinez, P. Vos, Why do I have to learn this? A case study on students’ experiences of the relevance of mathematical modelling activities. J. ZDM Mathematics Education 50, 245–257 (2018). doi: 10.1007/s11858-017-0904-2 [Google Scholar]
  11. K. Jones, L. Black, A. Coles, Marking 21 years of Research in Mathematics Education. Research in Mathematics Education 21(1),1–5 (2019). doi: 10.1080/14794802.2019.1592336 [Google Scholar]
  12. L.D. Yore, Electronic Journal of Science Education 5 (4),1–7 (2001) [Google Scholar]
  13. T. Dreyfus, M. Artigue, D. Potari, S. Prediger, K. Ruthver (eds.), Developing Research in Mathematics Education Twenty Years of Communication, Cooperation and Collaboration in Europe (Routledge, New York, 2019) [Google Scholar]
  14. I. Biza, V. Giraldo, R. Hochmuth, A. S. Khakbaz, C. Rasmussen, in Research on Teaching and Learning Mathematics at the Tertiary Level. ICME- 13 Topical Surveys (Springer Open, Cham, 2016), pp. 1–32 [Google Scholar]
  15. N. Telegina, The Use of Project Activity in Teaching Mathematics. Eurasia J. Math., Sci Tech. Ed. 15(8) (2019). doi:10.29333/ejmste/108439 [Google Scholar]
  16. A. Matejko, D. Ansari, Contributions of functional Magnetic Resonance Imaging (fMRI) to the Study of Numerical Cognition. Journal of Numerical Cognition 4 (3),505–525 (2018). doi: 10.5964/jnc.v4i3.136 [Google Scholar]
  17. S. Sevinc, R. Lesh, Training mathematics teachers for realistic math problems: a case of modeling-based teacher education courses. ZDM Mathematics Education 50, 301–314 (2018). doi:10.1007/s11858-017-0898-9 [Google Scholar]
  18. H.S. Malvar, Signal processing with lapped transform (Artech House, Norwood, 1992) [Google Scholar]
  19. F. Dedus, S. Makhortykh, M. Ustinin, Application of the Generalized Spectral-Analytic Method in Information Problems. Pattern Recogn. Image Anal. 12, 429–437 (2002). doi:10.1134/S1054661806030175 [Google Scholar]
  20. A. Pankratov, Spectral analysis for identication and visualization of repeats in genetic sequences. Pattern Recogn. Image Anal. 19 (4),687 (2009). doi:10.1134/S105466180904018X [Google Scholar]
  21. O. Novikov, O. Rovenska, Approximation of classes of poisson integrals by repeated Fejer sums. Lobachevskii J. Math. 38 (3),502–509 (2017). doi: 10.1134/S1995080217030209 [Google Scholar]
  22. C. Izard, Differential Emotions Theory (Springer, Boston, 1977) [Google Scholar]
  23. J. Panksepp, Damasio’s error? Conscious. Emot. 4, 111–134 (2003). doi: 10.1075/ce.4.1.10pan [Google Scholar]
  24. S. Langer, Mind: An Essay on Human Feeling (Jonhs Hopkins University Press, Baltimore, 1967), p. 512 [Google Scholar]
  25. K. Vlasenko, Higher School Mathematics Teacher (2019), Accessed 22 Feb 2019 [Google Scholar]
  26. Lesley University Online, What Is The 5E Model? A Definition For Teacher (2019), 5e-model-a-definition-for-teachers. Accessed 22 Feb 2019 [Google Scholar]
  27. Lesley University, Empowering Students: the 5E Model Explained (2019), 5e-model-explained.Accessed 17 Oct 2019 [Google Scholar]
  28. R. Bybee, The BSCS 5e Instructional Model and 21st century skills (The National Academic Board on Science Education, 2009), site/documents/webpage/dbasse_073327.pdf . Accessed 5 Oct 2019 [Google Scholar]
  29. J. Branch, D. Oberg, Focus on Inquiry Glossary. (Alberta Learning, Alberta, 2004) [Google Scholar]
  30. P.-H. Cheng, Y.-T. Carolyn Yang, S.-H. Gilbert Chang, F.-R. Revon Kuo. IEEE Transactions on Education 59 (2),147–153 (2016) [Google Scholar]
  31. L. Duran, E. Duran, The Science Education Review 3 (2),49–58 (2004) [Google Scholar]
  32. S. Supasorn, V. Promarak, Implementation of 5E inquiry incorporated with analogy learning approach to enhance conceptual understanding of chemical reaction rate for grade 11 students. Chem. Educ. Res. Pract. 16, 121–132 (2015). doi: 10.1039/C4RP00190G [Google Scholar]
  33. R.W. Bybee, J.A. Taylor, A. Gardner, P. Van Scotter, J.C. Powell, A. Westbrook, N. Landes, The BSCS 5E Instructional Model: Origins, Effectives, and Applications (2006), ort.pdf. Accessed 28 Nov 2019 [Google Scholar]
  34. A. Abdi, The effect of inquiry-based learning method on students’ academic achievement in science course. Universal Journal of Educational Research 2 (1),37¬41 (2014). doi: 10.13189/ujer.2014.020104 [Google Scholar]
  35. E.T. Ong, 5E Inquiry Learning Model: Its Effect on Science Achievement among Malaysian Year 5 Indian Students. International Journal of Academic Research in Business and Social Sciences 8(12),348¬360 (2018). doi:10.6007/IJARBSS/v8-i12/5017 [Google Scholar]
  36. W. Sandoval, B. Reiser, Explanation-driven inquiry: Integrating conceptual and epistemic scaffolds for scientific inquiry. Science Education 88, 342–375 (2004). doi: 10.1002/sce. 10130 [Google Scholar]
  37. M. Rocard, Science Education NOW: A renewed Pedagogy for the Future of Europe (2015), http://ec.europa. eu/research/science- society/document_library/pdf_06/report-rocard- onscience-education_en.pdf. Accessed 25 Oct 2019 [Google Scholar]
  38. J.-L. Lin, Eurasia J. Math., Sc. Techn. Ed. 10(5),415–426 (2014) [Google Scholar]
  39. K. Vlasenko et al., Training of Mathematical Disciplines Teachers for Higher Educational Institutions as a Contemporary Problem. Universal Journal of Educational Research 7 (9),1892–1900 (2019). doi: 10.13189/ujer.2019.070907 [Google Scholar]
  40. R. Bybee, N. Landes, The American Biology Teacher 52 (2),92–98 (1990) [Google Scholar]
  41. K. Vlasenko, O. Chumak, I. Sitak, O. Chashechnikova, I. Lovianova, Espacios 40 (31),1–15 (2019) [Google Scholar]
  42. M. Alshehri, IOSR Journal of Research & Method in Education (IOSR-JRME), 6 (2),43–48 (2016) [Google Scholar]
  43. D. Coulson, BSCS Science: An inquiry approach - 2002 evaluation findings (PS International, Arnold, 2002) [Google Scholar]
  44. E.-T. Chin, F.-L. Lin, A survey of the practice of a large-scale implementation of inquiry-based mathematics teaching: from Taiwan’s perspective. ZDM Mathematics Education 45, 919–923 (2013). doi: 10.1007/s11858-013-0546-y [Google Scholar]
  45. N. Jung, How emotions affect logical reasoning: evidence from experiments with mood-manipulated participants, spider phobics, and people with exam anxiety. Front. Psychol. 5, 570–562 (2014). doi: 10.3389/fpsyg.2014.00570 [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.