Teachers’ Work Engagement, Burnout, and Interest toward ICT Training: School Level Differences
Abstract
:1. Introduction
1.1. Teachers’ Work Engagement
1.2. Teachers’ Burnout: Menace to Their Engagement
1.3. Teachers’ Professional Development: Interest toward ICT Training
1.4. Aim and Research Questions
2. Materials and Methods
2.1. Participants
2.2. Instrument and Procedure
2.3. Data Analysis
3. Results
4. Discussion
Author Contributions
Funding
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Hakanen, J.J.; Bakker, A.B.; Schaufeli, W.B. Burnout and work engagement among teachers. J. Sch. Psychol. 2006, 43, 495–513. [Google Scholar] [CrossRef]
- Leiter, M.P.; Maslach, C. Burnout and quality in a sped-up world. J. Qual. Particip. 2001, 24, 48. [Google Scholar]
- Schaufeli, W.B.; Salanova, M.; González-Romá, V.; Bakker, A.B. The measurement of engagement and burnout: A two sample confirmatory factor analytic approach. J. Happiness Stud. 2002, 3, 71–92. [Google Scholar] [CrossRef]
- Schaufeli, W.B.; Taris, T.W.; Van Rhenen, W. Workaholism, burnout, and work engagement: Three of a kind or three different kinds of employee well-being? Appl. Psychol. Int. Rev. 2008, 57, 173–203. [Google Scholar] [CrossRef] [Green Version]
- Wood, J.; Oh, J.; Park, J.; Kim, W. The relationship between work engagement and work–life balance in organizations: A review of the empirical research. Hum. Resour. Dev. Rev. 2020, 19, 240–262. [Google Scholar] [CrossRef]
- Bakker, A.B.; Schaufeli, W.B.; Leiter, M.P.; Taris, T.W. Work engagement: An emerging concept in occupational health psychology. Work. Stress 2008, 22, 187–200. [Google Scholar] [CrossRef]
- Çayak, S. The Mediating Role of Organizational Happiness in the Relationship Between Work Engagement and Life Satisfaction: A Study on Teachers. Int. J. Contemp. Educ. Res. 2021, 8, 27–46. [Google Scholar] [CrossRef]
- Saleem, A.; Iqbal, J.; Sandhu, M.A.; Amin, S. Impact of empowerment & emotional labor on teacher’s work engagement: A moderating role of job experience. Rev. Econ. Dev. Stud. 2018, 4, 237–245. [Google Scholar]
- Høigaard, R.; Giske, R.; Sundsli, K. Newly qualified teachers’ work engagement and teacher efficacy influences on job satisfaction, burnout, and the intention to quit. Eur. J. Teach. Educ. 2012, 35, 347–357. [Google Scholar] [CrossRef]
- Schaufeli, W.B.; Bakker, A.B. Defining and measuring work engagement: Bringing clarity to the concept. In Work Engagement: A Handbook of Essential Theory and Research; Psychology Press: Hove, UK, 2010; Volume 12, pp. 10–24. [Google Scholar]
- Vujčić, M.T.; Garcia-Garzon, E.; Gonul, B.; Gioaba, I. From Teachers’ Work Engagement to Pupils’ Positive Affect: A Weekly Diary Study on the Role of Pupils’ Autonomous Motivation. Appl. Res. Qual. Life 2022, 17, 613–633. [Google Scholar] [CrossRef]
- Neuber, L.; Englitz, C.; Schulte, N.; Forthmann, B.; Holling, H. How work engagement relates to performance and absenteeism: A meta-analysis. Eur. J. Work. Organ. Psychol. 2021, 31, 1–24. [Google Scholar] [CrossRef]
- Salmela-Aro, K.; Hietajärvi, L.; Lonka, K. Work burnout and engagement profiles among teachers. Front. Psychol. 2019, 10, 2254. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Eldor, L.; Shoshani, A. Caring relationships in school staff: Exploring the link between compassion and teacher work engagement. Teach. Teach. Educ. 2016, 59, 126–136. [Google Scholar] [CrossRef]
- Bakker, A.B.; Bal, M.P. Weekly work engagement and performance: A study among starting teachers. J. Occup. Organ. Psychol. 2010, 83, 189–206. [Google Scholar] [CrossRef]
- Gorozidis, G.; Papaioannou, A.G. Teachers’ motivation to participate in training and to implement innovations. Teach. Teach. Educ. 2014, 39, 1–11. [Google Scholar] [CrossRef]
- Fiorilli, C.; Buonomo, I.; Romano, L.; Passiatore, Y.; Iezzi, D.F.; Santoro, P.E.; Benevene, P.; Pepe, A. Teacher Confidence in Professional Training: The Predictive Roles of Engagement and Burnout. Sustainability 2020, 12, 6345. [Google Scholar] [CrossRef]
- Maslach, C.; Leiter, M.P. The Truth about Burnout: How Organizations Cause Personal Stress and What to Do about It; John Wiley & Sons: San Francisco, CA, USA, 2008. [Google Scholar]
- Kristensen, T.S.; Hannerz, H.; Høgh, A.; Borg, V. The Copenhagen Psychosocial Questionnaire—A tool for the assessment and improvement of the psychosocial work environment. Scand. J. Work. Environ. Health 2005, 31, 438–449. [Google Scholar] [CrossRef] [Green Version]
- Avanzi, L.; Balducci, C.; Fraccaroli, F. Contributo alla validazione italiana del Copenhagen Burnout Inventory (CBI) [A contribution to the Italian validation of the Copenhagen Burnout Inventory (CBI)]. Psicol. Salut. 2013, 2, 120–135. [Google Scholar] [CrossRef]
- Hoglund, W.L.; Klingle, K.E.; Hosan, N.E. Classroom risks and resources: Teacher burnout, classroom quality and children’s adjustment in high needs elementary schools. J. Sch. Psychol. 2015, 53, 337–357. [Google Scholar] [CrossRef]
- Shackleton, N.; Bonell, C.; Jamal, F.; Allen, E.; Mathiot, A.; Elbourne, D.; Viner, R. Teacher burnout and contextual and compositional elements of school environment. J. Sch. Health 2019, 89, 977–993. [Google Scholar] [CrossRef]
- Fiorilli, C.; Benevene, P.; De Stasio, S.; Buonomo, I.; Romano, L.; Pepe, A.; Addimando, L. Teachers’ burnout: The role of trait emotional intelligence and social support. Front. Psychol. 2019, 10, 2743. [Google Scholar] [CrossRef] [PubMed]
- Roslan, N.A.; Ho, J.A.; Ng, S.I.; Sambasivan, M. Job demands & job resources: Predicting burnout and work engagement among teachers. Int. Proc. Econ. Dev. Res. 2015, 84, 138–145. [Google Scholar]
- Hultell, D.; Melin, B.; Gustavsson, J.P. Getting personal with teacher burnout: A longitudinal study on the development of burnout using a person-based approach. Teach. Teach. Educ. 2013, 32, 75–86. [Google Scholar] [CrossRef]
- Shin, H.; Noh, H.; Jang, Y.; Park, Y.M.; Lee, S.M. A longitudinal examination of the relationship between teacher burnout and depression. J. Employ. Couns. 2013, 50, 124–137. [Google Scholar] [CrossRef]
- Fiorilli, C.; Gabola, P.; Pepe, A.; Meylan, N.; Curchod-Ruedi, D.; Albanese, O.; Doudin, P.A. The effect of teachers’ emotional intensity and social support on burnout syndrome. A comparison between Italy and Switzerland. Eur. Rev. Appl. Psychol. 2015, 65, 275–283. [Google Scholar] [CrossRef]
- Madigan, D.J.; Kim, L.E. Towards an understanding of teacher attrition: A meta-analysis of burnout, job satisfaction, and teachers’ intentions to quit. Teach. Teach. Educ. 2021, 105, 103425. [Google Scholar] [CrossRef]
- Klassen, R.M.; Chiu, M.M. Effects on teachers’ self-efficacy and job satisfaction: Teacher gender, years of experience, and job stress. J. Educ. Psychol. 2010, 102, 741–756. [Google Scholar] [CrossRef]
- Mérida-López, S.; Extremera, N. Emotional intelligence and teacher burnout: A systematic review. Int. J. Educ. Res. 2017, 85, 121–130. [Google Scholar] [CrossRef]
- Rey, L.; Extremera, N.; Pena, M. Burnout and work engagement in teachers: Are sex and level taught important? Ansiedad Estrés 2012, 18, 119–129. [Google Scholar]
- Zivcicova, E.; Gullerova, M. Burnout syndrome among teachers. In Proceedings of the 34th International Scientific Conference on Economic and Social Development—XVIII International Social Congress (ISC-2018), Moscow, Russia, 18–19 October 2018; pp. 78–85. [Google Scholar]
- Postholm, M.B. Teachers’ professional development: A theoretical review. Educ. Res. 2012, 54, 405–429. [Google Scholar] [CrossRef]
- Tang, S.Y.F.; Choi, P.L. Teachers’ professional lives and continuing professional development in changing times. Educ. Rev. 2009, 61, 1–18. [Google Scholar] [CrossRef]
- Sokal, L.; Trudel, L.E.; Babb, J. Canadian teachers’ attitudes toward change, efficacy, and burnout during the COVID-19 pandemic. Int. J. Educ. Res. Open 2020, 1, 100016. [Google Scholar] [CrossRef]
- Borko, H.; Jacobs, J.; Koellner, K. Contemporary approaches to teacher professional development. Int. Encycl. Educ. 2010, 7, 548–556. [Google Scholar]
- Hidi, S. Interest: A unique motivational variable. Educ. Res. Rev. 2006, 1, 69–82. [Google Scholar] [CrossRef]
- O’Keefe, P.A.; Horberg, E.J.; Plante, I. The multifaceted role of interest in motivation and engagement. In The Science of Interest; O’Keefe, P.A., Harackiewicz, J.M., Eds.; Springer: Cham, Switzerland, 2017; pp. 49–67. [Google Scholar]
- Izard, C.E.; Ackerman, B.P. Motivational, organizational, and regulatory functions of discrete emotions. In Handbook of Emotions, 2nd ed.; Lewis, M., Haviland-Jones, J., Eds.; Guilford Press: New York, NY, USA, 2000; pp. 253–322. [Google Scholar]
- Almerich, G.; Orellana, N.; Suárez-Rodríguez, J.; Díaz-García, I. Teachers’ information and communication technology competences: A structural approach. Comput. Educ. 2016, 100, 110–125. [Google Scholar] [CrossRef]
- Instefjord, E.J.; Munthe, E. Educating digitally competent teachers: A study of integration of professional digital competence in teacher education. Teach. Teach. Educ. 2017, 67, 37–45. [Google Scholar] [CrossRef]
- Moreira-Fontán, E.; García-Señorán, M.; Conde-Rodríguez, Á.; González, A. Teachers’ ICT-related self-efficacy, job resources, and positive emotions: Their structural relations with autonomous motivation and work engagement. Comput. Educ. 2019, 134, 63–77. [Google Scholar] [CrossRef]
- Ramírez-Montoya, M.S.; Mena, J.; Rodríguez-Arroyo, J.A. In-service teachers’ self-perceptions of digital competence and OER use as determined by a xMOOC training course. Comput. Hum. Behav. 2017, 77, 356–364. [Google Scholar] [CrossRef]
- Joo, Y.J.; Lim, K.Y.; Kim, N.H. The effects of secondary teachers’ technostress on the intention to use technology in South Korea. Comput. Educ. 2016, 95, 114–122. [Google Scholar] [CrossRef]
- Bodenheimer, G.; Shuster, S.M. Emotional labour, teaching and burnout: Investigating complex relationships. Educ. Res. 2020, 62, 63–76. [Google Scholar] [CrossRef]
- Pirkkalainen, H.; Salo, M.; Makkonen, M.; Tarafdar, M. Coping with technostress: When emotional responses fail. In Proceedings of the 38th International Conference on Information Systems, Seoul, South Korea, 10–13 December 2017. [Google Scholar]
- Califf, C.B.; Brooks, S. An empirical study of techno-stressors, literacy facilitation, burnout, and turnover intention as experienced by K-12 teachers. Comput. Educ. 2020, 157, 103971. [Google Scholar] [CrossRef]
- Al-Fudail, M.; Mellar, H. Investigating teacher stress when using technology. Comput. Educ. 2008, 51, 1103–1110. [Google Scholar] [CrossRef]
- Turel, O.; Gaudioso, F. Techno-stressors, distress and strain: The roles of leadership and competitive climates. Cogn. Technol. Work 2018, 20, 309–324. [Google Scholar] [CrossRef]
- Teo, T.; Noyes, J. An assessment of the influence of perceived enjoyment and attitude on the intention to use technology among pre-service teachers: A structural equation modeling approach. Comput. Educ. 2011, 57, 1645–1653. [Google Scholar] [CrossRef]
- Kim, C.; Kim, D.; Yuan, J.; Hill, R.B.; Doshi, P.; Thai, C.N. Robotics to promote elementary education pre-service teachers’ STEM engagement, learning, and teaching. Comput. Educ. 2015, 91, 14–31. [Google Scholar] [CrossRef]
- Organisation for Economic Cooperation and Development (OECD). TALIS 2018 Country Notes. 2020. Available online: http://www.oecd.org/education/talis/talis-2018-country-notes.htm (accessed on 20 March 2022).
- Giavrimis, P.; Giossi, S.; Papastamatis, A. Teachers’ attitudes towards training in ICT: A critical approach. Qual. Assur. Educ. 2011, 19, 283–296. [Google Scholar] [CrossRef]
- Pisanti, R.; Paplomatas, A.; Bertini, M. Misurare le dimensioni positive nel lavoro in sanità: Un contributo all’adattamento italiano della UWES-Utrecht Work Engagement Scale. [Measuring the positive dimensions among health care workers: A contribution to the Italian Validation of the UWES-Utrecht Work Engagement Scale]. G. Ital. Med. Lav. Ergon. 2008, 30, 111–119. [Google Scholar]
- Schaufeli, W.; Bakker, A. Utrecht Work Engagement Scale: Preliminary Manual; Occupational Health Psychology Unit, Utrecht University: Utrecht, The Netherlands, 2003. [Google Scholar]
- Fiorilli, C.; De Stasio, S.; Benevene, P.; Iezzi, F.; Pepe, A.; Albanese, O. Copenhagen Burnout Inventory (CBI): A validation study in an Italian teacher group. TPM Test. Psychom. Methodol. Appl. Psychol. 2015, 22, 537–551. [Google Scholar]
- Bonferroni, C. Sulle medie multiple di potenze. Boll. Unione Mat. Ital. 1950, 5, 267–270. [Google Scholar]
- Barbaranelli, C. Analisi dei Dati. Tecniche Multivariate per la Ricerca Psicologica; Led: Milano, Italy, 2002. [Google Scholar]
- Ho, S.K.; Chan, H.; Chan, E.S.S.; Fung, K.K.; Hung, S.S.L. A Preliminary Psychometric Investigation of a Chinese Version of the Engaged Teachers Scale (C-ETS). Front. Educ. 2021, 6, 208. [Google Scholar] [CrossRef]
- Blatchford, P.; Bassett, P.; Brown, P. Examining the effect of class size on classroom engagement and teacher–pupil interaction: Differences in relation to pupil prior attainment and primary vs. secondary schools. Learn. Instr. 2011, 21, 715–730. [Google Scholar] [CrossRef]
- Perrotta, C. Do school-level factors influence the educational benefits of digital technology? A critical analysis of teachers’ perceptions. Br. J. Educ. Technol. 2013, 44, 314–327. [Google Scholar] [CrossRef] [Green Version]
- Ravitz, J.L.; Becker, H.J.; Wong, Y. Constructivist-Compatible Beliefs and Practices among US Teachers. Teaching, Learning, and Computing: 1998 National Survey Report #4. 2000. Available online: https://files.eric.ed.gov/fulltext/ED445657.pdf (accessed on 17 January 2022).
- Isikoglu, N.; Basturk, R.; Karaca, F. Assessing in-service teachers’ instructional beliefs about student-centered education: A Turkish perspective. Teach. Teach. Educ. 2009, 25, 350–356. [Google Scholar] [CrossRef]
- Bakker, A.B.; Demerouti, E.; Sanz-Vergel, A.I. Burnout and work engagement: The JD–R approach. Annu. Rev. Organ. Psychol. Organ. Behav. 2014, 1, 389–411. [Google Scholar] [CrossRef]
- Perkins, D.N. Technology meets constructivism: Do they make a marriage? Educ. Technol. 1991, 31, 18–23. [Google Scholar]
- Schepers, J.; Wetzels, M. A meta-analysis of the technology acceptance model: Investigating subjective norm and moderation effects. Inf. Manag. 2007, 44, 90–103. [Google Scholar] [CrossRef]
- Li, R.; Liu, H.; Chen, Y.; Yao, M. Teacher engagement and self-efficacy: The mediating role of continuing professional development and moderating role of teaching experience. Curr. Psychol. 2022, 41, 328–337. [Google Scholar] [CrossRef]
School-Level | N | Work Engagement Mean (SD) | Burnout Mean (SD) | Interest toward ICT Training Mean (SD) |
---|---|---|---|---|
Primary School | 188 | 98.09 (16.70) | 50.48 (12.98) | 8.45 (2.16) |
Middle School | 75 | 95.33 (18.23) | 50.52 (13.48) | 8.33 (1.88) |
High School | 95 | 89.27 (18.74) | 51.22 (11.25) | 7.70 (2.35) |
School-Level | N | Vigor Mean (SD) | Dedication Mean (SD) | Absorption Mean (SD) |
---|---|---|---|---|
Primary School | 188 | 32.50 (6.96) | 30.37 (4.96) | 35.21 (5.90) |
Middle School | 75 | 32.09 (6.62) | 29.48 (6.17) | 33.76 (6.66) |
High School | 95 | 30.06 (6.46) | 28.01 (5.83) | 31.20 (7.73) |
Primary school | 1. | 2. | 3. |
1. Work engagement | −0.535 ** | 0.172 * | |
2. Burnout | 0.003 | ||
3. Interest toward ICT training | |||
Middle School | 1. | 2. | 3. |
1. Work engagement | −0.531 * | −0.066 | |
2. Burnout | 0.183 | ||
3. Interest toward ICT training | |||
High School | 1. | 2. | 3. |
1. Work engagement | −0.431 ** | 0.359 ** | |
2. Burnout | −0.409 ** | ||
3. Interest toward ICT training |
School/Level/Factors | B | Standard Error | β | p Value |
---|---|---|---|---|
Primary school | ||||
Interest toward ICT Training programs | 1.35 | 0.47 | 0.17 | <0.01 |
Burnout | −0.69 | 0.08 | −0.54 | <0.001 |
F(2, 185) = 42.92, p < 0.001, R2 = 0.32, R2 adjusted = 0.31 | ||||
Middle School | ||||
Interest toward ICT Training programs | −0.31 | 0.98 | −0.03 | >0.05 |
Burnout | −0.72 | 0.14 | −0.54 | <0.001 |
F(2, 72) = 14.19, p < 0.001, R2 = 0.28, R2 adjusted = 0.26 | ||||
High School | ||||
Interest toward ICT Training programs | 1.75 | 0.80 | 0.22 | <0.05 |
Burnout | −0.57 | 0.17 | −0.34 | <0.01 |
F(2, 92) = 13.42, p < 0.001, R2 = 0.23, R2 adjusted = 0.21 |
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Cacciamani, S.; Cesareni, D.; Fiorilli, C.; Ligorio, M.B. Teachers’ Work Engagement, Burnout, and Interest toward ICT Training: School Level Differences. Educ. Sci. 2022, 12, 493. https://doi.org/10.3390/educsci12070493
Cacciamani S, Cesareni D, Fiorilli C, Ligorio MB. Teachers’ Work Engagement, Burnout, and Interest toward ICT Training: School Level Differences. Education Sciences. 2022; 12(7):493. https://doi.org/10.3390/educsci12070493
Chicago/Turabian StyleCacciamani, Stefano, Donatella Cesareni, Caterina Fiorilli, and Maria Beatrice Ligorio. 2022. "Teachers’ Work Engagement, Burnout, and Interest toward ICT Training: School Level Differences" Education Sciences 12, no. 7: 493. https://doi.org/10.3390/educsci12070493