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The Asia-Pacific Education Researcher

, Volume 28, Issue 6, pp 519–530 | Cite as

Factors Influence Kindergarten Teachers’ Emotion Management in Information Technology: A Multilevel Analysis

  • Jianxia Du
  • Jianzhong Xu
  • Fangtong LiuEmail author
  • Bosu Huang
  • Zihao Li
Regular Article

Abstract

Emotion management is an important component under the self-regulated learning model, and teachers’ emotion management plays an essential role in their technology integration into teaching practices. The current study investigated models of teachers’ emotion management while learning and using information technology, using data from 866 teachers from 58 kindergartens in China. Results from multilevel analysis revealed that at the individual level, emotion management was positively related to monitoring motivation, managing time, arranging the environment, mastery orientation, and help seeking. Meanwhile, emotion management was negatively related to avoidance orientation. In addition, compared with young teachers, older teachers were less likely to take initiatives to manage emotion. At the kindergarten level, emotion management was negatively related to avoidance orientation. These findings were discussed with theory and research in related fields, and implications were drawn in terms of adding the self-regulated learning strategies in the professional trainings and increasing teachers’ awareness to apply self-regulation strategies.

Keywords

Emotion management Regulation of emotion Information technology Chinese kindergarten teachers 

Notes

References

  1. Alicia, A. G. (2000). Emotion regulation in the workplace: A new way to conceptualize emotional labor. Journal of Occupational Health Psychology, 5, 85–110.Google Scholar
  2. Ames, C. (1992). Classrooms: Goals, structures, and student motivation. Journal of Educational Psychology, 84, 261–271.Google Scholar
  3. Arguedas, M., Daradoumis, A., & Xhafa Xhafa, F. (2016). Analyzing how emotion awareness influences students' motivation, engagement, self-regulation and learning outcome. Educational Technology and Society, 19(2), 87–103.Google Scholar
  4. Artino, A. R., Jr., & Jones, K. D., II. (2012). Exploring the complex relations between achievement emotions and self-regulated learning behaviors in online learning. Internet and Higher Education, 15, 170–175.Google Scholar
  5. Baumeister, R. F., Bratslavsky, E., & Muraven, M. (2018). Ego depletion: Is the active self a limited resource? In R. Baumeister (Ed.), Self-regulation and self-control (pp. 24–52). London: Routledge.Google Scholar
  6. Becker, E. S., Goetz, T., Morger, V., & Ranellucci, J. (2014). The importance of teachers' emotions and instructional behavior for their students' emotions—An experience sampling analysis. Teaching and Teacher Education, 43, 15–26.Google Scholar
  7. Bennett, L. (2014). Putting in more: emotional work in adopting online tools in teaching and learning practices. Teaching in Higher Education, 19, 919–930.Google Scholar
  8. Bitner, N., & Bitner, J. O. E. (2002). Integrating technology into the classroom: Eight keys to success. Journal of Technology and Teacher Education, 10, 95–100.Google Scholar
  9. Breuer, J., & Freud, S. (1957). Studies on hysteria. Oxford: Basic Books.Google Scholar
  10. Cai, Z., Fan, X., & Du, J. (2017). Gender and attitudes toward technology use: A meta-analysis. Computers & Education, 105, 1–13.Google Scholar
  11. Carver, C. S., & Scheier, M. F. (1998). On the self-regulation of behavior. New York: Cambridge University Press.Google Scholar
  12. Ciarrochi, J. V., & Deane, F. P. (2001). Emotional competence and willingness to seek help from professional and nonprofessional sources. British Journal of Guidance and Counselling, 29, 233–246.Google Scholar
  13. Ciarrochi, J., Wilson, C. J., Deane, F. P., & Rickwood, D. (2003). Do difficulties with emotions inhibit help-seeking in adolescence? The role of age and emotional competence in predicting help-seeking intentions. Counselling Psychology Quarterly, 16, 103–120.Google Scholar
  14. Corno, L. (2004). Introduction to the special issue work habits and work styles: Volition in education. Teachers College Record, 106, 1669–1694.Google Scholar
  15. Cross, D. I., & Hong, J. Y. (2012). An ecological examination of teachers' emotions in the school context. Teaching and Teacher Education, 28, 957–967.Google Scholar
  16. De Guinea, A. O., & Markus, M. L. (2009). Why break the habit of a lifetime? Rethinking the roles of intention, habit, and emotion in continuing information technology use. MIS Quarterly, 33, 433–444.Google Scholar
  17. Du, J. (2015). Predictors for students’ management of study environment in collaboration in China. Educational Psychology, 36, 1614–1630.Google Scholar
  18. Du, J., Xu, J., & Fan, X. (2015). Help seeking in online collaborative groupwork: A multilevel analysis. Technology, Pedagogy and Education, 24, 321–337.Google Scholar
  19. Du, J., Xu, J., & Fan, X. (2015). Investigating factors that influence students’ management of study environment in online collaborative groupwork. Research Papers in Education, 30, 451–468.Google Scholar
  20. Du, J., Xu, J., & Fan, X. (2016). Investigating factors that influence students’ help seeking in math homework: A multilevel analysis. Learning and Individual Differences, 48, 29–35.Google Scholar
  21. Duncan, T. G., & McKeachie, W. J. (2005). The making of the motivated strategies for learning questionnaire. Educational Psychologist, 40, 117–128.Google Scholar
  22. Eilam, B., & Aharon, I. (2003). Students' planning in the process of self-regulated learning. Contemporary Educational Psychology, 28, 304–334.Google Scholar
  23. Eisenberg, N., Champion, C., & Ma, Y. (2004). Emotion-related regulation: An emerging construct. Merrill-Palmer Quarterly, 50, 236–259.Google Scholar
  24. Gong, S., Chai, X., Duan, T., Zhong, L., & Jiao, Y. (2013). Chinese teachers’ emotion regulation goals and strategies. Psychology, 4, 870–877.Google Scholar
  25. Gross, J. J. (1998). The emerging field of emotion regulation: An integrative review. Review of General Psychology, 2, 271–299.Google Scholar
  26. Gross, J. J. (2002). Emotion regulation: Affective, cognitive, and social consequences. Psychophysiology, 39(3), 281–291.Google Scholar
  27. Gross, J. J., Carstensen, L. L., Pasupathi, M., Tsai, J., Götestam Skorpen, C., & Hsu, A. Y. (1997). Emotion and aging: Experience, expression, and control. Psychology and Aging, 12, 590–599.Google Scholar
  28. Harackiewicz, J. M., Barron, K. E., Tauer, J. M., Carter, S. M., & Elliot, A. J. (2000). Short-term and long-term consequences of achievement goals: Predicting interest and performance over time. Journal of Educational Psychology, 92, 316–330.Google Scholar
  29. Hidi, S., & Harackiewicz, J. M. (2000). Motivating the academically unmotivated: A critical issue for the 21st century. Review of Educational Research, 70, 151–179.Google Scholar
  30. Hochschild, A. R. (1983). The managed heart: Commercialization of human feeling. Berkeley: University of California Press.Google Scholar
  31. Hofstede, G. (2001). Culture’s consequences: Comparing values, behaviors, institutions, and organizations across nations. Thousand Oaks, CA: Sage.Google Scholar
  32. Hu, H. C. (1944). The Chinese concepts of “face”. American Anthropologist, 46(1), 45–64.Google Scholar
  33. Karabenick, S. A., & Newman, R. S. (Eds.). (2013). Help seeking in academic settings: Goals, groups, and contexts. New York: Routledge.Google Scholar
  34. Kay, R. H., & Loverock, S. (2008). Assessing emotions related to learning new software: The computer emotion scale. Computers in Human Behavior, 24, 1605–1623.Google Scholar
  35. Kerckaert, S., Vanderlinde, R., & van Braak, J. (2015). The role of ICT in early childhood education: Scale development and research on ICT use and influencing factors. European Early Childhood Education Research Journal, 23(2), 183–199.Google Scholar
  36. Koole, S. L., Van Dillen, L. F., & Sheppes, G. (2014). The self-regulation of emotion. In K. D. Vohs & R. F. Baumeister (Eds.), Handbook of self-regulation: Research, theory, and applications (pp. 22–40). New York: Guilford Publications.Google Scholar
  37. Kreft, I., & de Leeuw, J. (1998). Introducing multilevel modeling. London: Sage.Google Scholar
  38. Kuhl, J. (1987). Action control: The maintenance of motivational states. In F. Halisch & J. Kuhl (Eds.), Motivation, intention and volition (pp. 279–307). Berlin, Germany: Springer-Verlag.Google Scholar
  39. Kuhl, J. (2000). A functional-design approach to motivation and self- regulation: The dynamics of personality systems interactions. In M. Boekaerts, P. R. Pintrich, & M. Zeidner (Eds.), Handbook of self-regulation (pp. 111–169). San Diego, CA: Academic Press.Google Scholar
  40. Larson, R. W., & Brown, J. R. (2007). Emotional development in adolescence: What can be learned from a high school theater program? Child Development, 78, 1083–1099.Google Scholar
  41. Lazarus, R. S. (1966). Psychological stress and the coping process. New York: McGraw-Hill.Google Scholar
  42. Lemos, M. S. (1999). Students’ goals and self-regulation in the classroom. International Journal of Educational Research, 31, 471–485.Google Scholar
  43. Li, J. (2005). Mind or virtue: Western and Chinese beliefs about learning. Current Directions in Psychological Science, 14, 190–194.Google Scholar
  44. Li, H. (2012). The current situation of modern educational technology application in kindergartens and the way to solve problems. Knowledge Economy, 16, 144–145.Google Scholar
  45. Ministry of Education. (2012). Ten-year plan of education informatization (2011–2020). Retrieved from https://old.moe.gov.cn/publicfiles/business/htmlfiles/moe/s5892/201203/133322.html.
  46. Ministry of Education. (2018a). Number of educational personnel in Kindergarten. Retrieved from https://www.moe.edu.cn/s78/A03/moe_560/jytjsj_2017/qg/201808/t20180808_344714.html.
  47. Ministry of Education. (2018b). Number of full-time teachers in junior secondary schools by subject taught & educational attainment. Retrieved from https://www.moe.edu.cn/s78/A03/moe_560/jytjsj_2017/qg/201808/t20180808_344730.html.
  48. Ministry of Education. (2018c). Number of full-time teachers in primary school by subject taught and educational attainment. Retrieved from https://www.moe.edu.cn/s78/A03/moe_560/jytjsj_2017/qg/201808/t20180808_344718.html.
  49. Ministry of Finance. (2003). Notice of the Ministry of Education and other departments on the guidance on the reform and development of early childhood education. Retrieved from https://www.mof.gov.cn/gp/xxgkml/kjs/200806/t20080624_2499115.html.
  50. Morino, M. (2016). Teachers' support to the development of emotion regulation: A case study of 3-year-old children at Kindergarten. International Journal of Psychology, 51, 393–393.Google Scholar
  51. Muis, K. R., Ranellucci, J., Trevors, G., & Duffy, M. C. (2015). The effects of technology-mediated immediate feedback on kindergarten students' attitudes, emotions, engagement and learning outcomes during literacy skills development. Learning and Instruction, 38, 1–13.Google Scholar
  52. Muraven, M., & Slessareva, E. (2003). Mechanisms of self-control failure: Motivation and limited resources. Personality and Social Psychology Bulletin, 29, 894–906.Google Scholar
  53. O'bannon, B. W., & Thomas, K. (2014). Teacher perceptions of using mobile phones in the classroom: Age matters! Computers & Education, 74, 15–25.Google Scholar
  54. Op’t Eynde, P., & Turner, J. E. (2006). Focusing on the complexity of emotion issues in academic learning: A dynamical component systems approach. Educational Psychology Review, 18, 361–376.Google Scholar
  55. Pekrun, R. (2006). The control-value theory of achievement emotions: Assumptions, corollaries, and implications for educational research and practice. Educational Psychology Review, 18, 315–341.Google Scholar
  56. Pintrich, P. R. (2000). Multiple goals, multiple pathways: The role of goal orientation in learning and achievement. Journal of Educational Psychology, 92, 544–555.Google Scholar
  57. Pintrich, P. R. (2000). The role of goal orientation in self-regulated learning. In M. Boekaerts, P. R. Pintrich, & M. Zeidner (Eds.), Handbook of self-regulation (pp. 451–502). San Diego, CA: Academic Press.Google Scholar
  58. Pintrich, P. R. (2004). A conceptual framework for assessing motivation and self-regulated learning in college students. Educational Psychology Review, 16, 385–407.Google Scholar
  59. Pintrich, P. R., Smith, D. A. F., Garcia, T., & McKeachie, W. J. (1993). Reliability and predictive validity of the motivated strategies for learning questionnaire (MLSQ). Educational and Psychological Measurement, 53, 801–813.Google Scholar
  60. Raudenbush, S., & Bryk, A. S. (2002). Hierarchical linear models Applications and data analysis (2nd ed.). Thousand Oaks, CA: Sage.Google Scholar
  61. Raudenbush, S., Bryk, A. S., Cheong, Y. F., Congdon, R., & Toit, M. (2004). HLM 6: Hierarchical linear and nonlinear modeling. Lincolnwood, IL: Scientific Software International.Google Scholar
  62. Schmeichel, B. J., & Baumesiter, R. F. (2004). Self-regulatory strength. In K. D. Vohs & R. F. Baumeister (Eds.), Handbook of self-regulation: Research, theory, and applications (pp. 84–98). New York: Guilford Press.Google Scholar
  63. Schunk, D. H., & Zimmerman, B. J. (2012). Motivation an essential dimension of self-regulated learning. In D. H. Schunk & B. J. Zimmerman (Eds.), Motivation and self-regulated learning (pp. 13–42). New York: Routledge.Google Scholar
  64. Smith, P. J., Coldwell, J., Smith, S. N., & Murphy, K. L. (2005). Learning through computer-mediated communication: A comparison of Australian and Chinese heritage students. Innovations in Education and Teaching International, 42, 123–134.Google Scholar
  65. Stephanou, G. (2014). Feelings towards child-teacher relationships, and emotions about the teacher in kindergarten: effects on learning motivation, competence beliefs and performance in mathematics and literacy. European Early Childhood Education Research Journal, 22, 457–477.Google Scholar
  66. Sutton, R. E. (2004). Emotional regulation goals and strategies of teachers. Social Psychology of Education, 7, 379–398.Google Scholar
  67. Sutton, R. E., & Harper, E. (2009). Teachers' emotion regulation. In L. J. Saha & A. G. Dworkin (Eds.), International handbook of research on teachers and teaching (pp. 389–401). Boston: Springer.Google Scholar
  68. Sutton, R. E., & Wheatley, K. F. (2003). Teachers' emotions and teaching: A review of the literature and directions for future research. Educational Psychology Review, 15, 327–358.Google Scholar
  69. Takacs, Z. K., Swart, E. K., & Bus, A. G. (2015). Benefits and pitfalls of multimedia and interactive features in technology-enhanced storybooks: A meta-analysis. Review of Educational Research, 85, 698–739.Google Scholar
  70. Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research, 11, 342–365.Google Scholar
  71. Von Secker, C. (2002). Effects of inquiry-based teacher practices on science excellence and equity. Journal of Educational Research, 95, 151–160.Google Scholar
  72. Wang, H., Hall, N. C., Goetz, T., & Frenzel, A. C. (2017). Teachers' goal orientations: Effects on classroom goal structures and emotions. British Journal of Educational Psychology, 87, 90–107.Google Scholar
  73. Wang, J., & Zhu, S. (2014). The investigation on kindergarten teacher’s educational technology literacy: Take kindergarten backbone teachers who participate in “National Teacher Training Program” in Henan Province for example. In 2014 International Conference of Educational Innovation through Technology (EITT) (pp. 236–243). https://doi.org/10.1109/EITT.2014.45.
  74. Weiner, B. (1979). A theory of motivation for some classroom experiences. Journal of Educational Psychology, 71, 3–25.Google Scholar
  75. Wilfong, J. D. (2006). Computer anxiety and anger: The impact of computer use, computer experience, and self-efficacy beliefs. Computers in Human Behavior, 22, 1001–1011.Google Scholar
  76. Wolters, C. (2011). Regulation of motivation: Contextual and social Aspects. Teachers College Record, 113, 265–283.Google Scholar
  77. Xu, J. (2008). Models of secondary students’ interest in homework: A multilevel analysis. American Educational Research Journal, 45, 1180–1205.Google Scholar
  78. Xu, J. (2018). Emotion regulation in mathematics homework: An empirical study. Journal of Educational Research, 111, 1–11.Google Scholar
  79. Xu, J., Du, J., & Fan, X. (2013). Individual and group-level factors for students' emotion management in online collaborative groupwork. Internet and Higher Education, 19, 1–9.Google Scholar
  80. Xu, J., Du, J., & Fan, X. (2014). Emotion management in online groupwork reported by Chinese students. Educational Technology Research and Development, 62, 795–819.Google Scholar
  81. Xu, J., Fan, X., & Du, J. (2015). Homework management scale: Confirming the factor structure with middle school students in China. Psychology in the Schools, 52, 419–429.Google Scholar
  82. Zhou, X. (2011). Early childhood education policy development in China. International Journal of Child Care and Education Policy, 5(1), 29–39.Google Scholar
  83. Zimmerman, B. J., & Martinez-Pons, M. (1990). Student differences in self-regulated learning: Relating grade, sex, and giftedness to self-efficacy and strategy use. Journal of Educational Psychology, 82, 51–59.Google Scholar

Copyright information

© De La Salle University 2019

Authors and Affiliations

  • Jianxia Du
    • 1
    • 2
  • Jianzhong Xu
    • 3
  • Fangtong Liu
    • 2
    • 4
    Email author
  • Bosu Huang
    • 2
  • Zihao Li
    • 2
  1. 1.Faculty of EducationEast China Normal UniversityShanghaiChina
  2. 2.Faculty of EducationUniversity of MacauMacaoChina
  3. 3.Department of Counseling, Educational Psychology, and FoundationsMississippi State UniversityMississippi StateUSA
  4. 4.School of Foreign LanguagesShanxi UniversityTaiyuanChina

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