Exploring Preservice Teachers’ Emotional Experiences in an Immersive Virtual Teaching Simulation through Facial Expression Recognition

References

• Astleitner, H. (2001). Designing emotionally sound instruction: An empirical validation of the FEASP- Approach. Journal of Instructional Psychology., 28(4), 209–219.
   Google Scholar
• Aydin, Y. C., & Woolfolk Hoy, A. (2005). What predicts student teacher self-efficacy? Academic Exchange Quarterly, 9(4), 123–127.
   Google Scholar
• Badiee, F., & Kaufman, D. (2014). The effectiveness of an online simulation for teacher education. Journal of Technology and Teacher Education, 22(2), 167–186.
   Google Scholar
• Badiee, F., & Kaufman, D. (2015, April-June). Design evaluation of a simulation for teacher education. SAGE Open, 1–10. doi:10.1177/2158244015592454
   Web of Science ®Google Scholar
• Berlyne, D. E. (1960). Conflict, arousal, and curiosity. New York, NY: McGraw-Hill.
   Google Scholar
• Bosch, N., D’Mello, S., Baker, R., Ocumpaugh, J., Shute, V., Ventura, M., … Zhao, W. (2015). Automatic detection of learning-centered affective states in the wild. In Proceedings of the 20th International Conference on Intelligent User Interfaces (IUI ‘15). ACM, New York, NY, USA, 379–388. DOI:10.1145/2678025.2701397
   Google Scholar
• Bradley, E. G., & Kendall, B. (2014). A review of computer simulations in teacher education. Journal of Educational Technology Systems, 43(1), 3–12. doi:10.2190/ET.43.1.b
   Google Scholar
• Capraro, M., Capraro, R. M., & Helfeldt, J. (2010). Do differing types of field experiences make a difference in teacher candidates’ perceived level of competence? Teacher Education Quarterly, 37(1), 131–154.
   Google Scholar
• Carrington, L., Kervin, L. K., & Ferry, B. (2011). Enhancing the development of pre-service teacher professional identity via an online classroom simulation. Journal of Technology and Teacher Education, 19(3), 351–368.
   Google Scholar
• Christensen, R., Knezek, G., Tyler-Wood, T., & Gibson, D. (2011). SimSchool: An online dynamic simulator for enhancing teacher preparation. International Journal of Learning Technology, 6(2), 201–220. doi:10.1504/IJLT.2011.042649
   Google Scholar
• D’Mello, S. (2013). A selective meta-analysis on the relative incidence of discrete affective states during learning with technology. Journal of Educational Psychology, 105(4), 1082–1099. doi:10.1037/a0032674
   Web of Science ®Google Scholar
• D’Mello, S., & Graesser, A. (2011). The half-life of cognitive-affective states during complex learning. Cognition & Emotion, 25(7), 1299–1308. doi:10.1080/02699931.2011.613668
   PubMed Web of Science ®Google Scholar
• Department of Industry, Innovation, Climate Change, Science, Research, and Tertiary Education. (2013). VirtualPREX: Innovative assessment using a 3D virtual world with pre-service teachers. Sydney, NSW: Office for Learning and Teaching.
   Google Scholar
• Dieker, L. A., Rodruiguez, J. A., Lignugaris Kraft, B., Hynes, M. C., & Hughes, C. E. (2014). The potential of simulated environments in teacher education: Current and future possibilities. Teacher Education and Special Education, 37(1), 21–33. doi:10.1177/0888406413512683
   Web of Science ®Google Scholar
• Domagk, S., Schwartz, R. N., & Plass, J. L. (2010). Interactivity in multimedia learning: An integrated model. Computers in Human Behavior, 26(5), 1024–1033. doi:10.1016/j.chb.2010.03.003
   Web of Science ®Google Scholar
• Ekman, P., Friesen, W. V., & Hager, J. C. (Eds.). (2002). Facial action coding system: Research Nexus, network research information. Salt Lake City, UT: Research Nexus.
   Google Scholar
• Emotient (2015). Understanding emotient analytics key performance indicators. Retrieved from http://spotidoc.com/doc/1158146/understanding-emotient-analytics-key-performance-indicators
   Google Scholar
• Fallin, J., & Royse, D. (2000). Student teaching: The keystone experience. Music Educators Journal, 87(3), 19–22. doi:10.2307/3399658
   Google Scholar
• Ferry, B., Kervin, L., Cambourne, B., Turbill, J., Puglisi, S., Jonassen, D., & Hedberg, J. (2004). Online classroom simulation: The “next wave” for pre-service teacher education? In R. Atkinson, C. McBeath, D. Jonas-Dwyer, & R. Phillips (Eds.), Beyond the comfort zone: Proceedings of the 21st ASCILITE Conference (pp. 294–302). Perth: Australian Society for Computers in Learning in Tertiary Education.
   Google Scholar
• Ferry, B., Kervin, L., Hedberg, J. G., Turbill, J., Cambourne, B., & Jonassen, D. (2005). In P. Kommers & G. Richards (Eds.), Proceedings, World Conference on Educational Multimedia, Hypermedia and Communication (EdMedia) (pp. 3096–3103). Chesapeake, VA: Association for the Advancement of Computing in Education (AACE).
   Google Scholar
• Field, A. (2013). Discovering statistics using IBM SPSS statistics (4th ed.). London, UK: SAGE.
   Google Scholar
• Frenzel, A. C., Pekrun, R., & Goetz, T. (2007). Perceived learning environment and students’ emotional experiences: A multilevel analysis of mathematics classrooms. Learning and Instruction, 17, 478–493. doi:10.1016/j.learninstruc.2007.09.001
   Web of Science ®Google Scholar
• Gagné, R. M., Briggs, L. J., & Wager, W. W. (1992). Principles of instructional design (4th ed.). Forth Worth, TX: Harcourt Brace Jovanovich College Publishers.
   Google Scholar
• Gencer, A. S., & Çakıroğlu, J. (2007). Turkish preservice science teachers’ efficacy beliefs regarding science teaching and their beliefs about classroom management. Teaching and Teacher Education, 23(5), 664–675. doi:10.1016/j.tate.2005.09.013
   Web of Science ®Google Scholar
• Gibson, D. (2007b). SimSchool - A complex systems framework for modeling teaching & learning. Paper presented to the National Educational Computing Conference, Atlanta, GA.
   Google Scholar
• Gibson, D. (2007a). SimSchool and the conceptual assessment framework. In D. Gibson, C. Aldrich, & M. Prensky (Eds.), Games and simulations in online learning: Research & development frameworks (pp. 308–322). Hershey, PA: Idea Group.
   Google Scholar
• Girod, M., & Girod, G. R. (2006). Exploring the efficacy of the cook school district simulation. Journal of Teacher Education, 57(5), 481–497. doi:10.1177/0022487106293742
   Web of Science ®Google Scholar
• Goetz, T., Bieg, M., Lüdtke, O., Pekrun, R., & Hall, N. C. (2013). Do girls really experience more anxiety in mathematics? Psychological Science, 24, 2079–2087. doi:10.1177/0956797613486989
   PubMed Web of Science ®Google Scholar
• Gregory, S., Dalgarno, B., Campbell, M., Reiners, T., Knox, V., & Masters, Y. (2011). Changing directions through VirtualPREX: Engaging pre-service teachers in virtual professional experience. In G. Williams, P. Statham, N. Brown, & B. Cleland, Eds., Changing demands, changing directions, (pp. 491–501). Hobart, Tasmania: Proceedings ascilite Hobart 2011. Retrieved from http://www.ascilite.org.au/conferences/hobart11/procs/GregoryS-full.pdf.
   Google Scholar
• Hidi, S., & Renninger, K. A. (2006). The four-phase model of interest development. Educational Psychologist, 41(2), 111–127. doi:10.1207/s15326985ep4102_4
   Web of Science ®Google Scholar
• Hixon, E., & So, H.-J. (2009). Technology’s role in field experiences for preservice teacher training. Educational Technology & Society, 12, 294–304.
   Web of Science ®Google Scholar
• iMotions. (2016). Facial expression analysis: Pocket guide. Retrieved from https://imotions.com/blog/facial-expression-analysis/
   Google Scholar
• Isen, A. M., & Baron, R. A. (1991). Positive affect as a factor in organizational behavior. Research in Organizational Behavior, 13, 1–53.
   Web of Science ®Google Scholar
• Issenberg, S. B., McGaghie, M. C., Petrusa, E. R., Gordon, D. L., & Scalese, R. J. (2005). Features and uses of high-fidelity medical simulations that lead to effective learning: A BEME systematic review. Medical Teacher, 27(1), 10–28. doi:10.1080/01421590500046924
   PubMed Web of Science ®Google Scholar
• Kaufman, D., & Ireland, A. (2016). Enhancing teacher education with simulations. Technical Trends, 60, 260–267. doi:10.1007/s11528-016-0049-0
   Google Scholar
• Keller, J. M. (2010). Motivational design for learning and performance: The ARCS model approach. New York, NY: Springer.
   Google Scholar
• Keltner, D., & Ekman, P. (2000). Facial expression of emotion. In M. Lewis & J. Haviland- Jones ( Eds.), Handbook of emotions. New York, NY: Guilford Publications.
   Google Scholar
• Kort, B., Reilly, R., & Picard, R. W. (2001). An affective model of interplay between emotions and learning: Reengineering educational pedagogy - building a learning companion. Paper presented at the IEEE.
   Google Scholar
• Li, X., & Zhang, M. (2000). Effects of early field experiences on preservice teachers’ efficacy beliefs: A pilot study. Paper presented at the annual meeting of the American Educational Research Association, New Orleans, LA.
   Google Scholar
• Lyle, J. (2002). Stimulated recall: A report on its use in naturalistic research. British Educational Research Journal, 29(6), 861–878. doi:10.1080/0141192032000137349
   Web of Science ®Google Scholar
• Markus, H. R., & Kitayama, S. (1991). Culture and the self: Implications for cognition, emotion, and motivation. Psychological Review, 98, 224–253. doi:10.1037/0033-295X.98.2.224
   Web of Science ®Google Scholar
• Mayer, R. E., & Estrella, G. (2014). Benefits of emotional design in multimedia instruction. Learning and Instruction, 33, 12–18. doi:10.1016/j.learninstruc.2014.02.004
   Web of Science ®Google Scholar
• Meanwell, E., & Kleiner, S. (2014). The emotional experience of first-time teaching: Reflections from graduate instructors, 1997-2006. Teaching Sociology, 42(1), 17–27. doi:10.1177/0092055X13508377
   Web of Science ®Google Scholar
• Moshell, J. M., & Hughes, C. E. (1996). The virtual academy: A simulated environment for constructionist learning. International Journal of Human Computer Interaction, 8(1), 95–110. doi:10.1080/10447319609526142
   Web of Science ®Google Scholar
• Ohana, C. (2004). Extended field experiences and cohorts with elementary science methods: Some unintended consequences. Journal of Science Teacher Education, 15(3), 233–254. doi:10.1023/B:JSTE.0000047089.43661.18
   Google Scholar
• Park, B., Knörzer, L., Plass, J. L., & Brünken, R. (2015). Emotional design and positive emotions in multimedia learning: An eyetracking study on the use of anthropomorphisms. Computers & Education, 86, 30–42. doi:10.1016/j.compedu.2015.02.016
   Web of Science ®Google Scholar
• Pekrun, R., Goetz, T., Titz, W., & Perry, R. P. (2002). Academic emotions in students’ self- regulated learning and achievement: A program of qualitative and quantitative research. Educational Psychologist, 37, 91–105. doi:10.1207/S15326985EP3702_4
   Web of Science ®Google Scholar
• Pekrun, R. (2016). Using self-report to assess emotions in education. In M. Zembylas & P. A. Schultz (Eds.), Methodological advances in research on emotion and education (pp. 43–54). Basel, Switzerland: Springer International Publishing.
   Google Scholar
• Pekrun, R., & Stephens, E. J. (2010). Achievement emotions: A control-value approach. Social and Personality Psychology Compass, 4(4), 238–255. doi:10.1111/spco.2010.4.issue-4
   Google Scholar
• Plass, J. L., Heidig, S., Hayward, E. O., Homer, B. D., & Um, E. (2014). Emotional design in multimedia learning: Effects of shape and color on affect and learning. Learning and Instruction, 29, 128–140. doi:10.1016/j.learninstruc.2013.02.006
   Web of Science ®Google Scholar
• Plass, J. L., & Kaplan, U. (2016). Emotional design in digital media for learning. In S. Y. Tettegah & M. Gartmeier (Eds.), Emotions, technology, design, and learning (pp. 131–161). San Diego, CA: Academic Press.
   Google Scholar
• Postareff, L., & Lindblom-Ylänne, S. (2011). Emotions and confidence within teaching in higher education. Studies in Higher Education, 36(7), 799–813. doi:10.1080/03075079.2010.483279
   Web of Science ®Google Scholar
• Rayner, C., & Fluck, A. (2014). Pre-service teacher’s perceptions of simSchool as preparation for inclusive education: A pilot study. Asia-Pacific Journal of Teacher Education, 42(3), 212–227. doi:10.1080/1359866X.2014.927825
   Web of Science ®Google Scholar
• Shuman, V., & Scherer, K. R. (2014). Concepts and structures of emotions. In R. Pekrun & L. Linnenbrink-Garcia (Eds.), International handbook of emotions in education (pp. 13–35)). London, UK: Routledge.
   Google Scholar
• Smedley, T. M., & Higgins, K. (2005). Virtual technology: Bringing the world into the special education classroom. Intervention in School and Clinic, 41(2), 114–119. doi:10.1177/10534512050410020201
   Web of Science ®Google Scholar
• Stavroulia, K. E., Makri-Botsari, E., Psycharis, S., & Kekkeris, G. (2016). Emotional experiences in simulated classroom training environments. The International Journal of Information and Learning Technology, 33(3), 172–185. doi:10.1108/IJILT-10-2015-0030
   Web of Science ®Google Scholar
• Thomson, S., Beacham, B., & Misulis, K. (1992). A university and public school collaborative approach to preparing elementary teachers. The Teacher Educator, 28(2), 46–51. doi:10.1080/08878739209555028
   Google Scholar
• Trigwell, K. (2012). Relations between teachers’ emotions in teaching and their approaches to teaching in higher education. Instructional Science, 40(3), 607–621. doi:10.1007/s11251-011-9192-3
   Web of Science ®Google Scholar
• Tsang, K. K. (2011). Emotional labor of teaching. Educational Research, 2(8), 1312–1316.
   Google Scholar
• Um, E., Plass, J. L., Hayward, E. O., & Homer, B. D. (2012). Emotional design in multimedia learning. Journal of Educational Psychology, 104(2), 485–498. doi:10.1037/a0026609
   Web of Science ®Google Scholar
• Villavicencio, F. T., & Bernardo, A. B. I. (2013). Positive academic emotions moderate the relationship between self-regulation and academic achievement. British Journal of Educational Psychology, 83, 329–340. doi:10.1111/j.2044-8279.2012.02064.x
   PubMed Web of Science ®Google Scholar
• Wagler, R. (2011). The impact of vicarious experiences and field experience classroom characteristics on preservice elementary science teaching. Electronic Journal of Science Education, 15(2), 1–28.
   Google Scholar
• Wallbott, H. G., & Scherer, K. R. (1988). How universal and specific is emotional experience? Evidence from 27 countries on five continents. In K. R. Schherer (Ed.), Facets of emotion (pp. 31–56). Hillsdale, NJ: Lawrence Erlbaum.
   Google Scholar
• Whitehill, J., Bartlett, M., & Movellan, J. (2008). Automatic facial expression recognition for intelligent tutoring systems. Computer Vision and Pattern Recognition Workshop on Human-Communicative Behavior, IEEE. DOI: 10.1109/CVPRW.2008.4563182
   Google Scholar
• Zhang, F., Parmley, M., Wan, X., & Cavanagh, S. (2015). Cultural differences in recognition of subdued facial expressions of emotions. Motivation and Emotion, 39(2), 309–319. doi:10.1007/s11031-014-9454-x
   Web of Science ®Google Scholar