Skip to main content

Advertisement

Log in

Understanding the Relationships between Psychological and Contextual Determinants, Motivation and Achievement Outcomes for Students in Vocational Training or Technical Training Programs

  • Original Paper
  • Published:
Vocations and Learning Aims and scope Submit manuscript

Abstract

In developed countries, obtaining a job qualification is a requirement for securing worthwhile employment. Given, it leads to better social and economic conditions during the entire working life. One relevant avenue to facilitate access to a job qualification, especially for students who have school concerns, is to encourage students to take non-university qualifying training programs like Vocational Training Programs (VT) and Technical training programs (TT). In Quebec (Canada), both of these apprenticeships are carried out in educational establishments; VT being taught in VT centers and TT in colleges (Doray et al. 2008; Fédération des Cégeps 2020). Currently, relatively few studies have examined the psychological and contextual factors that explain success and persistence through graduation. In response to this lack of data, two studies were conducted with students in VT (study 1) or TT (study 2) training. These studies intended to evaluate a theoretical model to explain students’ school success and persistence in a training program. The proposed model includes two psychological factors (students’ career certainty and future time perspective—FTP), two contextual factors (students’ perceptions of a performance-oriented classroom climate and contextualized instruction) as well as motivation (expectancies of success and subjective task value) and school achievement outcomes (grades and persistence). To evaluate the proposed theoretical model, path analyses were performed on 356 VT students and 503 TT students, enrolled in an apprenticeship in Quebec, Canada. The results of these two studies provide recent data about the factors predicting achievement and persistence according to the type of school/program and about the effects of motivation on achievement indicators in these respective programs. Furthermore, these findings will have important implications to help counselors and educators better adapt VT and TT programs to students’ needs.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Notes

  1. In the International Standard Classification of Education (ISCED) of UNESCO, an education program is defined as « a coherent set or sequence of educational activities or communication designed and organized to achieve pre-determined learning objectives or accomplish a specific set of educational tasks over a sustained period. Objectives encompass improving knowledge, skills and competencies within any personal, civic, social and/or employment-related context. Learning objectives are typically linked to the purpose of preparing for more advanced studies and/or for an occupation, trade, or class of occupations or trades but may be related to personal development or leisure. A common characteristic of an education program is that, upon fulfilment of learning objectives or educational tasks, successful completion is certified. » (UNESCO 2012, p.8).

  2. “Training programs in level 3 are conceived to prepare for higher education, and / or to teach skills relevant to employment” (e.g.: Plumbing’s program; UNESCO 2013, p. 39).

    3 “Training programs in level 4 are generally designed to provide individuals who have completed ISCED level 3 certifications required to access higher education or employment when their ISCED level 3 certification does not give them this access” (e.g.: Nursing’s program; UNESCO 2013, p.44).

References

  • Abousselam, N. M. (2005). The moderator of future time perspective in the relationship between self-efficacy and risky sexual behaviour (unpublished master’s thesis). University of the Free Sate, Bloemfontein, South Africa.

  • Acee, T. W., & Weinstein, C. E. (2010). Effects of a value-reappraisal intervention on statistics students’ motivation and performance. The Journal of Experimental Education, 78(4), 487–512. https://doi.org/10.1080/00220970903352753.

    Article  Google Scholar 

  • Álvarez-GalvÁn, J.-L., Field, S., Kuczera, M., Musset, P., and Windisch, H. C. (2015). A skills beyond school commentary on Canada. OECD. https://www.oecd.org/education/a-skills-beyond-school-commentary-on-canada.pdf

  • Arbuckle, J. L. (2011). IBM SPSS Amos 20 User’s Guide. Retrieved from ftp://public.dhe.ibm.com/software/analytics/spss/documentation/amos/20.0/en/Manuals/IBM_SPSS_Amos_User_Guide.pdf

  • Bédard, D., Lison, C., Dalle, D., Côté, D., & Boutin, N. (2012). Problem-based and project-based learning in engineering and medicine: Determinants of students’ engagement and persistence. Interdisciplinary Journal of Problem-based Learning, 6(2), 8.

    Article  Google Scholar 

  • Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238–246. https://doi.org/10.1037/0033-2909.107.2.238.

    Article  Google Scholar 

  • Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88, 588–606. https://doi.org/10.1037/0033-2909.88.3.588.

    Article  Google Scholar 

  • Bourgeois, E. (2009). Motivation et formation des adultes [adult motivation and training]. In P. Carré & F. Fenouillet (Eds.), Traité de psychologie de la motivation (pp. 233–251). Paris: Dunod.

    Chapter  Google Scholar 

  • Carstensen, L. L., and Lang, F. R. (1996). Future time perspective scale. Unpublished manuscript, Stanford University.

  • Cheung, G. W., & Lau, R. S. (2008). Testing mediation and suppression effects of latent variables: Bootstrapping with structural equation models. Organizational Research Methods, 11(2), 296–325. https://doi.org/10.1177/1094428107300343.

    Article  Google Scholar 

  • Cossette, M.-C., Potvin, P., Marcotte, D., Fortin, L., Royer, É., & Leclerc, D. (2004). Le risqué de décrochage scolaire et la perception du climat de classe chez les élèves du secondaire. Revue de psychoéducation, 33(1), 117–136.

    Google Scholar 

  • Curran, P. J., West, S., & Finch, J. F. (1996). The robustness of test statistics to nonnormality and specification error in confirmatory factor analysis. Psychological Methods, 1(1), 16–29. https://doi.org/10.1037/1082-989X.1.1.16.

    Article  Google Scholar 

  • Cutler, D.M., and A. Lleras-Muney (2012), Education and health: Insights from international comparisons, NBER Working Paper, no. 17,738, National Bureau of Economic Research: New York. Retrieved from https://www.nber.org/papers/w17738

  • Databank of Official Statistics on Quebec (2020). Effectif scolaire de la formation professionnelle, selon diverses variables, années scolaires 2005–2006 à 2017–2018, Québec [Vocational training school enrollment, according to various variables, school years 2005–2006 to 2017–2018, Quebec]. Retrieved from http://www.bdso.gouv.qc.ca/pls/ken/ken213_afich_tabl.page_tabl?p_iden_tran=REPER5UDY0842931841269291rmyDandp_lang=1andp_m_o=MEESandp_id_raprt=3415

  • Deschenaux, P. (2007). La mobilité géographique et l’insertion professionnelle des jeunes peu scolarisés. [geographical mobility and the professional insertion of undereducated youth]. Éducation et francophonie, 35(1), 140–160.

    Google Scholar 

  • Doray, P., Ménard, L., & Adouane, A. (2008). Implementing the school-to-work transition in Québec (Pathways to the Labour Market Series No 7). Canadian Policy Research Network. Research (CPRN). https://www.researchgate.net/profile/Pierre_Doray/publication/237308880_Implementing_the_School-to-Work_Transition_in_Quebec/links/02e7e53b6b2ad0750d000000.pdf.

  • Dubeau, A., Plante, I., & Frenay, M. (2017). Achievement profiles of students in high school vocational training programs. Vocations and Learning : studies in vocational and professional education, 10(1), 101–120. https://doi.org/10.1007/s12186-016-9163-6.

    Article  Google Scholar 

  • Dubeau, A., Plante, I., & Frenay, M. (2015). Mesure de la perspective d’avenir des étudiants : adaptation française et validation d’un instrument de mesure de la perspective d’avenir d’étudiants de l’enseignement postsecondaire. [Measuring students’ future prospects: French adaptation and validation of a measure of the future outlook of postsecondary students]. Mesure et évaluation en éducation, 38(1), 1–30.

    Article  Google Scholar 

  • Dulay, S., and Karadağ, E. (2017). The effect of school climate on student achievement. In The Factors Affecting Student Achievement (pp. 199–213). Springer, Cham.

  • Eccles, J. S., Parsons, J., Adler, T. F., Futterman, R., Goff, S. B., Kaczala, C. M., et al. (1983). Expectations, values and academic behaviors. In J. T. Spence (Ed.), Perspective on achievement and achievement motivation (pp. 75–146). San Francisco: WH Freeman.

    Google Scholar 

  • Eccles, J. S., & Wigfield, A. (1995). In the mind of the actor: The structure of adolescents’ achievement task values and expectancy-related beliefs. Personality and Social Psychology Bulletin, 21(3), 215–225. https://doi.org/10.1177/0146167295213003.

    Article  Google Scholar 

  • Eccles, J. S., and Wigfield, A. (2002). Motivational beliefs, values, and goals. Annual Review of Psychology (53), 109-132. https://doi.org/10.1146/annurev.psych.53.100901.135153.

  • Enders, C. K., & Bandalos, D. L. (2001). The relative performance of full information maximum likelihood estimation for missing data in structural equation models. Structural Equation Modeling, 8(3), 430–457. https://doi.org/10.1207/S15328007SEM0803_5.

    Article  Google Scholar 

  • Fédération des Cégeps. (2020). Formation technique [Technical Training]. Type de formations [Types of training]. https://fedecegeps.ca/cegeps/formations/.

  • Galand B., and Frenay M. (2005). L’approche par problèmes et par projets dans l’enseignement supérieur : impact, enjeux et défis. [Problem-based and project-based approach in higher education: impact, issues and challenges]. Louvain-la-Neuve, Belgium : Presses universitaires de Louvain.

  • Germeijs, V., & Verschueren, K. (2007). High school students’ career decision-making process: Consequences for choice implementation in higher education. Journal of Vocational Behavior, 70, 223–241. https://doi.org/10.1016/j.jvb.2006.10.004.

    Article  Google Scholar 

  • Godes, O. (2008). The effects of utility value on achievement behavior of two cultures. (doctoral dissertation). Available form ProQuest dissertations and theses database. (UMI no. 304450079).

  • Hamelin, P. (2014). Réalisation du portrait global, authentique et pratique de la formation professionnelle actuelle et récente au Québec. [realization of the global, authentic and practical portrait of current and recent vocational training in Quebec]. (unpublished master’s thesis). Université du Québec à Montréal, Montréal, Canada.

  • Hilpert, J. C., Husman, J., & Carrion, M. L. (2014). Gender differences in engineering students’ imagined futures. Journal of Women and Minorities in Science and Engineering, 20(3), 197–209. https://doi.org/10.1615/JWomenMinorScienEng.2014007079.

    Article  Google Scholar 

  • Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118.

    Article  Google Scholar 

  • Husman, J., Duggan, M. A., & Fishman, E. (2014). The teacher time bubble: Expanding teachers’ imaginings of the future to support learning. In P. Richardson, S. Karabenick, & H. Watt (Eds.), Teacher motivation: Theory and practice (pp. 182–197). New York: Routledge.

    Chapter  Google Scholar 

  • Husman, J., & Lens, W. (1999). The role of the future in student motivation. Educational Psychologist, 34(2), 113–125. https://doi.org/10.1207/s15326985ep3402_4.

    Article  Google Scholar 

  • Husman, J., & Shell, D. F. (2008). Beliefs and perceptions about the future: A measurement of future time perspective. Learning and Individual Differences, 18(2), 166–175. https://doi.org/10.1016/j.lindif.2007.08.001.

    Article  Google Scholar 

  • Jacobs, J. E., and Eccles, J. S. (2000). Parents, task values, and real-life achievement-related choices. In C. Sansone and J. M. Harackiewicz (Eds.), Intrinsic and extrinsic motivation: The search for optimal motivation and performance (p. 405–439). Academic Press. https://doi.org/10.1016/B978-012619070-0/50036-2.

  • Joreskog, K. G., & Sorbom, D. (1984). LISREL-VI: User’s guide (3rd ed.). Mooresville: Scientific Software.

    Google Scholar 

  • Kline, R. B. (2005). Principles and practice of structural equation modeling (2nd ed.). New York: Guilford Press.

    Google Scholar 

  • Laberge, M., Vézina, N., & Saint-Charles, J. (2012). Safe and healthy integration into semiskilled jobs: Does gender matter? Work, 41(1), 4642–4649. https://doi.org/10.3233/WOR-2012-0102-4642.

    Article  Google Scholar 

  • Larose, S., Duchesne, S., Litalien, D., Denault, A.-S., & Boivin, M. (2018). Adjustment trajectories during the college transition: Types, personal and family antecedents, and academic outcomes. Research in Higher Education, 60, 684–710. https://doi.org/10.1007/s11162-018-9538-7.

    Article  Google Scholar 

  • Lazowski, R. A., & Hulleman, C. S. (2016). Motivation interventions in education: A meta-analytic review. Review of Educational Research, 86(2), 602–640. https://doi.org/10.3102/0034654315617832.

    Article  Google Scholar 

  • Lens, W., Paixao, M. P., Herrera, D., & Grobler, A. (2012). Future time perspective as a motivational variable: Content and extension of future goals affect the quantity and quality of motivation. Japanese Psychological Research, 54(3), 321–333. https://doi.org/10.1111/j.1468-5884.2012.00520.x.

    Article  Google Scholar 

  • Lewin, K. (1942). Time perspective and morale. In G. Watson (Ed.), Civilian morale (pp. 48–70). Boston: Houghton Mifflin.

    Google Scholar 

  • Malenfant, R., Larue, A., Jette, M., Côté, N., Dussault, J., and Parenteau, P. (2006). La dynamique de la création et de la consolidation d’un lien d’emploi chez les jeunes non-diplômés. [the dynamics of the creation and the consolidation of an employment relationship among young people without diplomas]. Research report submitted as a follow-up to the research group RIPOST. Gatineau: Université du Québec en Outaouais.

  • Marsh, H. W., Lüdtke, O., Nagengast, B., Trautwein, U., Abduljabbar, A. S., Abdelfattah, F., & Jansen, M. (2015). Dimensional comparison theory: Paradoxical relations between self-beliefs and achievements in multiple domains. Learning and Instruction, 35, 16–32. https://doi.org/10.1016/j.learninstruc.2014.08.005.

    Article  Google Scholar 

  • Mazalon, É., and Bourdon, S. (2015). Choix scolaires et obstacles à la participation des jeunes adultes non diplômés inscrits en formation professionnelle. [School Choices and Barriers to Participation of Young Adult Non-Graduates enrolled in Vocational Training]. In C. Villemagne and J. Myre-Bisaillon (Ed.), Les jeunes adultes faiblement scolarisés. Parcours de formation et d’accompagnement [Young adults with low education. Course of formation and accompaniment] (pp. 185–204). Quebec : Presses de l’Université du Québec.

  • Mazzeo, C. (2008). Supporting student success at California community colleges. A White paper. Prepared for the Bay Area Worforce Funding Collaborative Career by the Career Ladders Project for California Community Colleges.

  • Medrich, E., Calderon, S., & Hoachlander, G. (2003). Contextual teaching and learning strategies in high schools: Developing a vision for support and evaluation. In B. Brand (Ed.), Essential forms of high school reform: New forms of assessment and contextual teaching and learning (pp. 35–71). Washington, D.C.: American Youth Policy Forum.

    Google Scholar 

  • McDonald, R. P., & Ho, M.-H. R. (2002). Principles and practice in reporting statistical equation analyses. Psychological Methods, 7(1), 64–82. https://doi.org/10.1037/1082-989X.7.1.64.

    Article  Google Scholar 

  • Meece, J. L. (1991). The classroom context and children’s motivational goals. In M. Maehr & P. Pintrich (Eds.), Advances in achievement motivation research (pp. 261–285). New York: Academic.

    Google Scholar 

  • Meece, J. L., Anderman, E. M., & Anderman, L. H. (2006). Classroom goal structure, student motivation, and academic achievement. Annual Review of Psychology, 57, 487–503. https://doi.org/10.1146/annurev.psych.56.091103.070258.

    Article  Google Scholar 

  • Nakajima, N. A., Dembo, M. H., & Mossler, R. (2012). Student persistence in community colleges. Community College Journal of Research and Practice, 36(8), 591–613. https://doi.org/10.1080/10668920903054931.

    Article  Google Scholar 

  • Neuville, S. (2004). La perception de la valeur des activités d’apprentissage : étude des déterminants et effets. [Perceived value of learning activities: study of determinants and effects] (Unpublished doctoral dissertation, Université catholique de Louvain, Louvain-la-Neuve, Belgium).

  • OECD (2018). Education at a glance 2018: OECD indicators. Retrieved from https://doi.org/10.1787/eag-2018-en.

  • OECD (2017), Education at a glance 2017: OECD indicators. Retrieved from https://doi.org/10.1787/eag-2017-en.

  • OCDE (2015), How’s life? 2015: Measuring well-being. Retrieved from https://doi.org/10.1787/how_life-2015-en.

  • Peetsma, T. T. (2000). Future time perspective as a predictor of school investment. Scandinavian Journal of Educational Research, 44(2), 177–192. https://doi.org/10.1080/713696667.

    Article  Google Scholar 

  • Plante, I., O'Keefe, P. A., & Théorêt, M. (2012). The relation between achievement goal and expectancy-value theories in predicting achievement-related outcomes: A test of four theoretical conceptions. Motivation and Emotion, 37(1), 65–78.

    Article  Google Scholar 

  • Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40(3), 879–891. https://doi.org/10.3758/BRM.40.3.879.

    Article  Google Scholar 

  • Quebec Ministry of Education and Higher Education. (2014). Indicateurs de l’éducation, Édition 2013. [Education indicators, edition 2013]. Government of Quebec. 146 p.

  • Seginer, R. (2009). Future Orientation. Boston: Springer.

    Book  Google Scholar 

  • Schald, B., Sheppard, Sheri, and Chen, H. L. (2017). Career certainty:Differences between career certain and uncertain engineering students. Proceeding of the American Society for Engineering Education annual conference, June 25–28. Columbus, OH. Retrieved from https://par.nsf.gov/biblio/10043007

  • Schmitz, J. (2009). La persévérance en première année à l’université : sources et effets de l’intégration sociale [Persistence in the first year of university: sources and effects of social integration]. (Doctoral dissertation, Université catholique de Louvain, Louvain-la-Neuve, Belgium). Retrieved from https://dial.uclouvain.be/pr/boreal/object/boreal:29003

  • Ullman, J. B. (2007). Structural equation modeling. In B. G. Tabachnick & L. S. Fidell (Eds.), Using multivariate statistics (5th ed., pp. 676–780). Boston: Pearson/A and B.

    Google Scholar 

  • UNESCO Institute for Statistics (2012). International Standard Classification of Education: ISCED 2011. Retrieved from http://uis.unesco.org/sites/default/files/documents/international-standard-classification-of-education-isced-2011-en.pdf

  • Urdan, T. (2010). The challenges and promise of research on classroom goal structures. In J. L. Meece & J. S. Eccles (Eds.), Handbook of research on schools, schooling, and human development (pp. 92–108). New York: Routledge.

    Google Scholar 

  • Wigfield, A., & Cambria, J. (2010). Students’ achievement values, goal orientations, and interest: Definitions, development, and relations to achievement outcomes. Developmental Review, 30(1), 1–35. https://doi.org/10.1016/j.dr.2009.12.001.

    Article  Google Scholar 

  • Wigfield, A., Rosenzweig, E. Q., & Eccles, J. S. (2017). Achievement values: Interactions, interventions, and future directions. In A. J. Elliot, C. S. Dweck, & D. S. Yeager (Eds.), Handbook of competence and motivation: Theory and application (pp. 116–134). New York: The Guilford Press.

    Google Scholar 

  • Wigfield, A., Tonks, S., and Klauda, S. L. (2016). Expectancy-value theory. In K. R. Wentzel, and D. B. Miele (Eds.), Handbook of motivation at school (2nd ed.) (pp. 55–74). New York, NY and London, England: Routledge Taylor and Francis Group.

  • Wigfield, A., Tonks, S., and Klauda, S. L. (2009). Expectancy-value theory. In K. R. Wentzel, and A. Wigfield (Eds.), Handbook of motivation at school (pp. 55–75). New York, NY and London, England: Routledge Taylor and Francis Group.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Annie Dubeau.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Dubeau, A., Plante, I., Jutras-Dupont, C. et al. Understanding the Relationships between Psychological and Contextual Determinants, Motivation and Achievement Outcomes for Students in Vocational Training or Technical Training Programs. Vocations and Learning 14, 165–183 (2021). https://doi.org/10.1007/s12186-020-09258-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12186-020-09258-w

Keywords

Navigation