References
[1]. Ames, C. (1992). Achievement goals and the classroom motivational climate. Student Perceptions in the Classroom, 1, 327-348.
[2]. Anderson, J., Van Weert, T., & Duchâteau, C. (2002). Information and Communication Technology in Education: A Curriculum for Schools and Programme of Teacher Development. UNESCO.
[3]. Bandura, A. (1997). Self-efficacy: The Exercise of Control. New York: W. H. Freeman.
[4]. 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.
[5]. Beauchamp, G., & Kennewell, S. (2013). Transition in pedagogical orchestration using the interactive whiteboard. Education and Information Technologies, 18(2), 179-191.
[6]. Bevan, B. (2017). The promise and the promises of Making in science education. Studies in Science Education, 53(1), 75-103.
[7]. Blue, E., & Tirotta, R. (2011). The benefits and drawbacks of integrating cloud computing and interactive whiteboards in teacher preparation. TechTrends, 55(3), 31-39.
[8]. Cayvaz, A., Akcay, H., & Kapici, H. O. (2020). Comparison of simulation-based and textbook-based instructions on middle school students' achievement, inquiry skills and attitudes. International Journal of Education in Mathematics, Science and Technology, 8(1), 34-43.
[9]. Charsky, D., & Ressler, W. (2011). “Games are made for fun”: Lessons on the effects of concept maps in the classroom use of computer games. Computers & Education, 56(3), 604-615.
[10]. Clark, R. C., & Mayer, R. E. (2016). E-learning and the science of instruction: Proven guidelines for consumers and designers of multimedia learning. John Wiley & Sons.
[11]. Collins, A., & Halverson, R. (2018). Rethinking education in the age of technology: The digital revolution and schooling in America. Teachers College Press.
[12]. Cunningham, C. A. (2009). Transforming schooling through technology: Twenty-first-century approaches to participatory learning. Education and Culture, 25(2), 46-61.
[13]. Garcia, T., & Pintrich, P. (1996). Assending students' motivation and learning strategies in the classeoom context: The motivated strategies for learning questionnaire. In M. Birenbaum & F. J. R. C. Dochy (Eds.). Alternatives in assessment of achievements, learning processes and prior knowledge (pp. 319-339). Boston, MA: Kluwer
[14]. Garneli, V., & Chorianopoulos, K. (2018). Programming video games and simulations in science education: Exploring computational thinking through code analysis. Interactive Learning Environments, 26(3), 386-401.
[15]. Gray, L., Thomas, N., & Lewis, L. (2010). Educational Technology in U.S. Public Schools: Fall 2008 (NCES 2010- 034). Washington, DC: U.S. Department of Education, National Center for Education Statistics.
[16]. Halverson, R., & Smith, A. (2010). How new technologies have (and have not) changed teaching and learning in school. Journal of Computing in Teacher Education, 26(2).
[17]. Honey, M. (2001). Testimony before the Labor, HHS, and Education Appropriations Subcommittee. United States Senate, Retrieved from http://main.edc.org/newsro om/features/mhtestimony.asp
[18]. Karsenti, T. (2016). The interactive whiteboard: Uses, benefits, and challenges: A survey of 11,683 students and 1,131 teachers. Canadian Journal of Learning and Technology, 42(5).
[19]. Keller, J., & Kopp, T. (1987). Application of the ARCS model of motivational design. In C.M. Reigeluth (Ed.), Instructional theories in action: Lessons illustrating selected theories and models. Lawrence Erlbaum Associates.
[20]. Kohen, Z. (2019). Informed integration of IWB technology, incorporated with exposure to varied mathematics problem-solving skills: Its effect on students' real-time emotions. International Journal of Mathematical Education in Science and Technology, 50(8), 1128-1151.
[21]. Kramarski, B., & Zeichner, O. (2001). Using technology to enhance mathematical reasoning: Effects of feedback and self-regulation learning. Educational Media International, 38(2-3), 77-82.
[22]. Kulik, J. A., & Fletcher, J. D. (2016). Effectiveness of intelligent tutoring systems: A meta-analytic review. Review of Educational Research, 86(1), 42-78.
[23]. Lin, H. H., Yen, W. C., & Wang, Y. S. (2018). Investigating the effect of learning method and motivation on learning performance in a business simulation system context: An experimental study. Computers & Education, 127, 30-40.
[24]. Linnenbrink-Garcia, L., & Pintrich, P. R. (2006). Dynamic relation between achievement, goal orientations and affect. (Unpublished.)
[25]. Liou, H. H., Yang, S. J., Chen, S. Y., & Tarng, W. (2017). The influences of the 2D image-based augmented reality and virtual reality on student learning. Journal of Educational Technology & Society, 20(3), 110-121.
[26]. Manny-Ikan, E., Dagan, O., Tikochinski, T., & Zorman, R. (2011). Using the interactive white board in teaching and learning: An Evaluation of the smart classroom pilot project. Interdisciplinary Journal of E-Learning and Learning Objects, 7(1), 249-273.
[27]. Mayer, R. E. (2017). Using multimedia for e-learning. Journal of Computer Assisted Learning, 33(5), 403-423.
[28]. McFarland, J., Hussar, B., De Brey, C., Snyder, T., Wang, X., Wilkinson-Flicker, S., ... & Bullock Mann, F. (2017). The Condition of Education 2017. NCES 2017-144. National Center for Education Statistics.
[29]. McKagan, S. B., Handley, W., Perkins, K. K., & Wieman, C. E. (2009). A research-based curriculum for teaching the photoelectric effect. American Journal of Physics, 77(1), 87 –94.
[30]. Merriam, S. B., & Baumgartner, L. M. (2020). Learning in Adulthood: A Comprehensive Guide. John Wiley & Sons.
[31]. Mishra, P., & Koehler, M.J. (2006). Technological pedagogical content knowledge: A framework for teacher knowledge. Teachers College Record, 108(6), 1017–1054.
[32]. Ormanci, U., Cepni, S., Deveci, I., & Aydin, O. (2015). A thematic review of interactive whiteboard use in science education: Rationales, purposes, methods and general knowledge. Journal of Science Education and Technology, 24(5), 532-548.
[33]. Pintrich, P., Smith, D., Garcia, T. & McKeachie, W. (1991). A Manual for the Use of the Motivated Strategies for Learning Questionnaire (MSLQ). National Center for Research to Improve Post-secondary Teaching and Learning.
[34]. Rutten, N., Van Joolingen, W. R., & Van Der Veen, J. T. (2012). The learning effects of computer simulations in science education. Computers & Education, 58(1), 136-153.
[35]. Sarı, U., Hassan, A. H., Güven, K., & Şen, Ö. F. (2017). Effects of the 5E teaching model using interactive simulation on achievement and attitude in physics education. International Journal of Innovation in Science and Mathematics Education, 25(3), 20-35.
[36]. Schacter, J. (1999). The Impact of Education Technology on Student Achievement: What the Most Current Research has to Say. Santa Monica, CA: Milken Exchange on Education Technology.
[37]. Schunk, D. H., & DiBenedetto, M. K. (2020). Motivation and social cognitive theory. Contemporary Educational Psychology, 60, 1-46.
[38]. Schunk, D. H., & Usher, E. L. (2019). Social Cognitive Theory and Motivation. In Ryan, RM (Ed.) The Oxford Handbook of Human Motivation.
[39]. Selwyn, N. (2010). Looking beyond learning: Notes towards the critical study of educational technology. Journal of Computer Assisted Learning, 26(1), 65–73.
[40]. Shieh, R. S., Chang, W. J., & Tang, J. (2010). The impact of implementing technology-enabled active learning (TEAL) in university physics in Taiwan. Asia-Pacific Education Researcher, 19(3), 401–415.
[41]. Siahaan, P., Suryani, A., Kaniawati, I., Suhendi, E., & Samsudin, A. (2017, February). Improving students' science process skills through simple computer simulations on linear motion conceptions. In Journal of Physics: Conference Series (Vol. 812, No. 1, p. 012017). IOP Publishing.
[42]. Sitzmann, T. (2011). A meta-analytic examination of the instructional effectiveness of computer-based simulation games. Personnel Psychology, 64(2), 489-528.
[43]. Steenbergen-Hu, S., & Cooper, H. (2014). A metaanalysis of the effectiveness of intelligent tutoring systems on college students' academic learning. Journal of Educational Psychology, 106(2), 331.
[44]. Stern, L., Barnea, N., & Shauli, S. (2008). The effect of a computerized simulation on middle school students' understanding of the kinetic molecular theory. Journal of Science Education and Technology, 17(4), 305–315.
[45]. Tinto, V. (2019). Learning Better Together. In Jones, A., Olds, A., & Lisciandro, J. G. (Eds.). Transitioning Students in Higher Education: Philosophy, Pedagogy and Practice Routledge.
[46]. Vlachopoulos, D., & Makri, A. (2017). The effect of games and simulations on higher education: A systematic literature review. International Journal of Educational Technology in Higher Education, 14(1), 1-33.
[47]. Wen, C. T., Liu, C. C., Chang, H. Y., Chang, C. J., Chang, M. H., Chiang, S. H. F., ... & Hwang, F. K. (2020). Students' guided inquiry with simulation and its relation to school science achievement and scientific literacy. Computers & Education, 149, 1-14. https://doi.org/10. 1016/j.compedu.2020.103830
[48]. Widiyatmoko, A. (2018). The effectiveness of simulation in science learning on conceptual understanding: A literature review. Journal of International Development and Cooperation, 24(1), 35-43.
[49]. Zeichner, O. (2018). The impact of cognitive and noncognitive feedback on students' achievement in a distance learning environment. i-manager’s Journal of Educational Technology, 14(4), 13-27.
[50]. Zeichner, O. (2019a). The impact of safe internet intervention programs on pupils. i-manager's Journal of Educational Technology, 16(3), 34-43. https://doi.org/10. 26634/jet.16.3.16572
[51]. Zeichner, O. (2019b). The relationship between extrovert/introvert attributes and feedback on students' achievements. International Journal of Distance Education Technologies (IJDET), 17(2), 1-17.
[52]. Zeichner, O., & Zilka, G. (2016). Feelings of challenge and threat among pre-service teachers studying in different learning environments--virtual vs. blended courses. i-manager’s Journal of Educational Technology, 13(1), 7-19.
