SMART education technologies in mathematics teacher education - ways to integrate and progress that follows integration

References

• Arki, Z., Kiss, G., & Gastelù, C. A. T. (2015). Students’ perceptions of their competencies in ICT: The case of Óbuda university and J. selye university. Turkish Online Journal of Educational Technology, 2015, 504–514.
   Google Scholar
• Astashova, N. A., Bondyreva, S. K., & Smantser, A. P. (2018). The development of the axiosphere of the future teacher in the dialogue space of modern education. Obrazovanie I Nauka the Education and Science Journal, 20(7), 32–67.
   Web of Science ®Google Scholar
• Barak, M. (2014). Closing the gap between attitudes and perceptions about ICT-enhanced learning among pre-service STEM teachers. Journal of Science Education and Technology, 23(1), 1–14.
   Web of Science ®Google Scholar
• Barak, M. (2017). Science teacher education in the twenty-first century: A pedagogical framework for technology-integrated social constructivism. Research in Science Education, 47(2), 283–303.
   Web of Science ®Google Scholar
• Beacham, N., & McIntosh, K. (2014). Student teachers’ attitudes and beliefs towards using ICT within inclusive education and practice. Journal of Research in Special Educational Needs, 14(3), 180–191.
   Google Scholar
• Chen, C. (2016). Effective learning strategies for the 21st century: Implications for the e-learning. In M. Anderson & C. Gavan (Eds.), Developing effective educational experiences through learning analytics (pp. 143–169). Hershey, PA: IGI Global.
   Google Scholar
• Day, L. (2014). ICT: The changing landscape. Australian Primary Mathematics Classroom, 19(2), 23–27.
   Google Scholar
• de Langen, F., & van Den Bosch, H. (2013). Massive open online courses: Disruptive innovations or disturbing inventions? Open Learning: the Journal of Open, Distance and e-Learning, 28(3), 216–226.
   Google Scholar
• Ettazarini, S. (2017). Analysis of interactivity and autonomy of existing digital educational resources: The case of Life and Earth Sciences in Morocco. Open Learning: the Journal of Open, Distance and e-Learning, 32(2), 103–118.
   Web of Science ®Google Scholar
• Evans, J., Jordan, S., & Wolfenden, F. (2016). Developing academics’ assessment practices in open, distance and e-learning: An institutional change agenda. Open Learning: the Journal of Open, Distance and e-Learning, 31(2), 91–107.
   Web of Science ®Google Scholar
• Ferguson, R., Brasher, A., Clow, D., Cooper, A., Hillaire, G., Mittelmeier, J., … Ullmann, T. (2016). Research evidence on the use of learning analytics: Implications for education policy. In Eds. (R. Vuorikari & J. Castaño), Joint research centre science for policy report: EUR 28294 EN. doi:10.2791/955210.
   Google Scholar
• Foulger, T. S., Graziano, K. J., Schmidt-Crawford, D., & Slykhuis, D. A. (2017). Teacher educator technology competencies. Journal of Technology and Teacher Education, 25(4), 413–448.
   Google Scholar
• Galimullina, E. G., & Lyubimova, Y. M. (2015). Model of network communication between establishment of higher education and school in terms of intensification of practical orientation of bachelor’s training of pedagogical education. The Social Sciences, 10, 956–964.
   Google Scholar
• Galimullina, E. Z., Ljubimova, E. M., Sharafeeva, L. R., & Ibatullin, R. R. (2017). Foresight requirements to the teacher on the verge of cognitive revolution. Man In India, 97(22), 157–166.
   Google Scholar
• Ghavifekr, S., & Rosdy, W. A. (2015). Teaching and learning with technology: Effectiveness of ICT integration in schools. International Journal of Research in Education and Science, 1(2), 175–191.
   Google Scholar
• Glasswell, K., Davis, K., Singh, P., & McNaughton, S. (2010). Literacy lessons for Logan learners: A smart education partnerships project. Curriculum Leadership, 8(31), 1–4.
   Google Scholar
• Hirsh-Pasek, K., Zosh, J. M., Golinkoff, R. M., Gray, J. H., Robb, M. B., & Kaufman, J. (2015). Putting education in “educational” apps: Lessons from the science of learning. Psychological Science in the Public Interest, 16(1), 3–34.
   PubMed Web of Science ®Google Scholar
• Hwang, J. S., Lee, S., Lee, Y., & Park, S. (2015). A selection method of database system in big data environment: A case study from smart education service in Korea. International Journal of Advances in Soft Computing and Its Applications, 7(1), 9–21.
   Google Scholar
• Igoe, D., Parisi, A., & Carter, B. (2013). Smartphones as tools for delivering sun-smart education to students. Teaching Science: the Journal of the Australian Science Teachers Association, 59(1), 36–38.
   Google Scholar
• Im, D. U., & Lee, J. O. (2013). Mission-type education programs with smart device facilitating LBS. International Journal of Multimedia and Ubiquitous Engineering, 8(2), 81–88.
   Google Scholar
• Jang, S. (2014). Study on service models of digital textbooks in cloud computing environment for SMART education. International Journal of U- & E-Service, Science & Technology, 7(1), 73–82.
   Google Scholar
• Jeong, J.-S., Kim, M., & Yoo, K.-H. (2013). A content oriented smart education system based on cloud computing. International Journal of Multimedia and Ubiquitous Engineering, 8(6), 313–328.
   Google Scholar
• Kim, B. H., & Oh, S. Y. (2014). A study on the SMART education system based on cloud and N-screen. Journal of the Korea Academia-Industrial Cooperation Society, 15(1), 137–143.
   Google Scholar
• Kim, S. H., Park, N. H., & Joo, K. H. (2014). Effects of flipped classroom based on smart learning on self-directed and collaborative learning. International Journal of Control & Automation, 7(12), 69–80.
   Google Scholar
• Kim, S. Y., & Kim, M. R. (2013). Comparison of perception toward the adoption and intention to use smart education between elementary and secondary school teachers. Turkish Online Journal of Educational Technology, 12(2), 63–76.
   Google Scholar
• Klichowski, M., Bonanno, P., Jaskulska, S., Costa, C. S., de Lange, M., & Klauser, F. R. (2015). Cyber parks as a new context for smart education: Theoretical background, assumptions, and pre-service teachers’ rating. American Journal of Educational Research, 3(12A), 1–10.
   Google Scholar
• Koh, J. H. L., & Chai, C. S. (2014). Teacher clusters and their perceptions of technological pedagogical content knowledge (TPACK) development through ICT lesson design. Computers & Education, 70(C), 222–232.
   Web of Science ®Google Scholar
• Koh, J. H. L., Chai, C. S., Benjamin, W., & Hong, H. Y. (2015). Technological pedagogical content knowledge (TPACK) and design thinking: A framework to support ICT lesson design for 21st century learning. The Asia-Pacific Education Researcher, 24(3), 535–543.
   Web of Science ®Google Scholar
• Koh, J. H. L., Chai, C. S., & Tay, L. Y. (2014). TPACK-in-action: Unpacking the contextual influences of teachers’ construction of technological pedagogical content knowledge (TPACK). Computers & Education, 78, 20–29.
   Web of Science ®Google Scholar
• Lee, Y., & Lee, J. (2014). Enhancing pre-service teachers’ self-efficacy beliefs for technology integration through lesson planning practice. Computers & Education, 73, 121–128.
   Web of Science ®Google Scholar
• Lipatnikova, I. G., & Usoltsev, A. P. (2015). Forming and self-evaluation of ICT-competence of mathematics teachers to be in the course of their professional training. In V. L. Uskov, R. J. Howlett, & C. J. Lakhmi (Eds.), Smart education and smart e-learning (pp. 383–391). Cham, Switzerland: Springer.
   Google Scholar
• Ljubimova, E. M., & Galimullina, E. Z. (2014). Development level of independent activity of undergraduates on the basis of Web-technologies. Life Science Journal, 11(11s), 485–488.
   Google Scholar
• Ljubimova, E. M., Galimullina, E. Z., & Ibatullin, R. R. (2015). The development of university students’ self-sufficiency based on interactive technologies by their immersion in the professional activity. International Education Studies, 8(4), 192–199.
   Google Scholar
• Lyubimova, E. M., & Borisov, I. A. (2015). Networking school-university cooperation as a means of immersing students into professional activities. Modern Problems of Science and Education, 1(1), 164–166.
   Google Scholar
• Lyubimova, E. M., Galimullina, E. Z., & Ibatullin, R. R. (2015). Practical orientation increase for future teachers training through the integration of interactive technologies. The Social Sciences (Pakistan), 10(7), 1836–1839.
   Google Scholar
• Marcelo, C., & Yot, C. (2015). Pedagogies of working with technology in Spain. In L. Orland-Barak & C. J. Craig (Eds.), International teacher education: Promising pedagogies (Part B) (pp. 329–357). Bingley, UK: Emerald Group Publishing Limited.
   Google Scholar
• Matrix questions: Definition, types, example and advantages. [Electronic resource]. Retrieved from https://www.questionpro.com/features/multiple-choice-matrix.html
   Google Scholar
• Moeller, K., Fischer, U., Nuerk, H. C., & Cress, U. (2015). Computers in mathematics education –Training the mental number line. Computers in Human Behavior, 48(C), 597–607.
   Web of Science ®Google Scholar
• Morze, N. V., Smyrnova-Trybulska, E., & Glazunova, O. (2017). Design of a university learning environment for SMART education. In T. Issa, P. Kommers, T. Issa, P. Isaías, & T. B. Issa (Eds.), Smart technology applications in business environments (pp. 221–248). Hershey, PA: IGI Global.
   Google Scholar
• Murai, K., Hayashi, Y., Stone, L. C., & Inokuchi, S. (2006). Basic evaluation of performance of bridge resource teams involved in on-board smart education: Lookout pattern. Review of the Faculty of Maritime Sciences, Kobe University, 3, 77–83.
   Google Scholar
• Pamuk, S., Ergun, M., Cakir, R., Yilmaz, H. B., & Ayas, C. (2015). Exploring relationships among TPACK components and development of the TPACK instrument. Education and Information Technologies, 20(2), 241–263.
   Web of Science ®Google Scholar
• Rakhimova, A. E., Yashina, M. E., Mukhamadiarova, A. F., & Sharipova, A. V. (2016). The development of sociocultural competence with the help of computer technology. Interchange, 48(1), 55–70.
   Google Scholar
• Rothman, R. (2007). City schools: How districts and communities can create smart education systems. Cambridge, MA: Harvard Education Press.
   Google Scholar
• Ruiz-Calleja, A., Vega-Gorgojo, G., Asensio-Pérez, J. I., Gómez-Sánchez, E., Bote-Lorenzo, M. L., & Alario-Hoyos, C. (2014). SEEK-AT-WD: A social-semantic infrastructure to sustain educational ICT tool descriptions in the web of data. Journal of Educational Technology & Society, 17(2), 321–332.
   Web of Science ®Google Scholar
• Russell, C. A. (2016). System supports for 21st century competencies. Asia Society, Centre for Global Education. Retrieved from https://asiasociety.org/files/system-supports-for-21st-century-competencies-2016_0.pdf
   Google Scholar
• Shubina, I. V. (2015). SMART and modern education development. Economics, Statistics and Computer Science, 3, 17–19. (in Russian).
   Google Scholar
• Smirnova, N. V. (2016). Literacy in the digital university: Critical perspectives on learning, scholarship and technology. Open Learning: the Journal of Open, Distance and e-Learning, 31(1), 79–84.
   Web of Science ®Google Scholar
• Solodikhina, M. V., & Solodikhina, A. A. (2019). Development of critical thinking of master’s degree students using STEM cases. The Education and Science Journal, 21(3), 125–153.
   Google Scholar
• Sykes, E. R. (2014). New methods of mobile computing: From smartphones to smart education. TechTrends: Linking Research and Practice to Improve Learning, 58(3), 26–37.
   Google Scholar
• Taleb, Z., & Hassanzadehb, F. (2015). Toward smart school: A comparison between smart school and traditional school for mathematics learning. Procedia - Social and Behavioral Sciences, 171, 90–95.
   Google Scholar
• Tikhomirov, V. P. (2011). The world on the way to smart education: New opportunities for development. Open Education, 3, 22–28. (in Russian).
   Google Scholar
• Tikhomirov, V. P., & Dneprovskaya, N. V. (2015). Smart education as the basic paradigm of information society development. Modern Information Technologies and IT Education, 11(11), 9–13.
   Google Scholar
• Tondeur, J., van Braak, J., Siddiq, F., & Scherer, R. (2015). Time for a new approach to prepare future teachers for educational technology use: Its meaning and measurement. Computers & Education, 94(C), 134–150.
   Google Scholar
• Tong, H., & Feng, Y. (2014, June). Smart education & legal governance. In ICSSR 2014. Proceedings of the 3rd International Conference on Science and Social Research (pp. 392–395). Tianjin, China: Atlantis Press.
   Google Scholar
• Utemov, V. V., Khusainova, R. M., Sergeeva, M. G., & Shestak, V. A. (2018). Full packaged learning solutions for studying mathematics at school. EURASIA Journal of Mathematics, Science and Technology Education, 14, 12.
   Google Scholar
• Van Den Beemt, A., & Diepstraten, I. (2015). Teacher perspectives on ICT: A learning ecology approach. Computers & Education, 92–93, 161–170.
   Web of Science ®Google Scholar
• Vinogradov, V. L., Panfilov, A. N., Panfilova, V. M., & Rakhmanova, A. R. (2015). Integrated educational environment of the university and the school as a basis for practice oriented teachers training. Psychological Science and Education, 20(5), 142–152.
   Google Scholar
• Zhu, Z. T., Yu, M. H., & Riezebos, P. (2016). A research framework of smart education. Smart Learning Environments, 3(1), 4.
   Google Scholar