Evaluation of teaching performance in marketing: A longitudinal analysis of university students

Authors

DOI:

https://doi.org/10.35564/jmbe.2026.0014

Keywords:

teaching innovation project, moderated mediation analysis, subjective learning, confirmation of expectations, perceived usefulness, university education, marketing

Abstract

The main objective of this work is the self-assessment and diagnosis of the performance of the Teaching Innovation Project “i-MKT. How innovation awakens motivation” by the teaching team. To this end, we have examined the confirmation of students’ expectations in relation to the activities developed within the framework of the project, based on the perceived usefulness, and indirectly through subjective learning. The analyses are based on the students’ perception of three Marketing and Market Research subjects over four years of project implementation. A moderated mediation regression model has been estimated using PROCESS, in which the subjects and the year of edition act as moderating variables. The results demonstrate a growing cohesion between subjects and a key mediating role of subjective learning in the confirmation of expectations.

References

Androutsos, A. & Brinia, V. (2019). Developing and piloting a pedagogy for teaching innovation, collaboration, and co-creation in secondary education based on design thinking, digital transformation, and entrepreneurship. Education Sciences, 9(2), 113. https://doi.org/10.3390/educsci9020113

Arteaga, R. & Duarte, A. (2010). Motivational factors that influence the acceptance of Moodle using TAM. Computer in Human Behavior, 26(6), 1632-1640. https://doi.org/10.1016/j.chb.2010.06.011

Bagozzi, R. P. & Dholakia, U. M. (2006). Antecedents and purchase consequences of customer participation in small group brand communities. International Journal of research in Marketing, 23(1), 45-61. https://doi.org/10.1016/j.ijresmar.2006.01.005

Chavez Rojas, J., Faure Ninoles, J., & Barril Madrid, J. P. (2021). The construction of teachers’ professional identity: An analysis of subjective learning experiences. European Journal of Teacher Education, 46(2), 256-273. https://doi.org/10.1080/02619768.2021.1905627

Cheng, Y. M. (2021). Can gamification and interface design aesthetics lead to MOOCs’ success?. Education+ Training, 63(9), 1346-1375. https://doi.org/10.1108/ET-09-2020-0278

Clarà, M. (2013). The Concept of Situation and the Microgenesis of the Conscious Purpose in Cultural Psychology. Human Development, 56(2), 113-127. https://doi.org/10.1159/000346533

Dai, H. M., Teo, T., Rappa, N. A. & Huang, F. (2020). Explaining Chinese university students’ continuance learning intention in the MOOC setting: A modified expectation confirmation model perspective. Computers & Education, 150, 103850. https://doi.org/10.1016/j.compedu.2020.103850

Del Barrio-García, S. & Luque-Martínez, T. (2012). Análisis de ecuaciones estructurales. In Luque, T. (Ed.), Técnicas de análisis de datos en investigación de mercados (pp. 525-61). Pirámide.

Duong, C. D. (2022). Exploring the link between entrepreneurship education and entrepreneurial intentions: the moderating role of educational fields. Education+ Training, 64(7), 869-891. https://doi.org/10.1108/ET-05-2021-0173

Eccles, J. S., Adler, T. F., Futterman, R., Goff, S. B., Kaczala, C. M., Meece, J. L. and Midgley, C. (1983). Expectancies, values and academic behaviors. In J. T. Spence (Ed.), Achievement and achievement motivation (pp. 75-146). San Francisco, CA: W.H. Freeman.

Fernández de Caleya, R., Maylin-Aguilar, C. and Crespí, P. (2022). University education in entrepreneurship. The experience of a teaching innovation Project. Journal of Education for Business, 98(1), 51-58. https://doi.org/10.1080/08832323.2021.2025021

Fornell, C. & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18, 39-50. https://doi.org/10.2307/3151312

García-Morales, V. J., Garrido-Moreno, A. & Martín-Rojas, R. (2021). The transformation of higher education after the COVID disruption: Emerging challenges in an online learning scenario. Frontiers in psychology, 12, 616059. https://doi.org/10.3389/fpsyg.2021.616059

Hair J.F., Hult G.T.M., Ringle C. & Sarstedt M. (2014). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Sage.

Hartikainen, H., Ventä-Olkkonen, L., Kinnula, M. & Iivari, N. (2023). We were proud of our idea: How teens and teachers gained value in an entrepreneurship and making Project. International Journal of Child-Computer Interaction, 35, 100552. https://doi.org/10.1016/j.ijcci.2022.100552

Hero, L-M. & Lindfors, E. (2019). Students’ learning experience in a multidisciplinary innovation Project. Education+ Training, 61(4), 500-522. https://doi.org/10.1108/ET-06-2018-0138

Hornikx, J.; Van Meurs, F. & Starren, M. (2007). An empirical study of readers’ associations with multilingual advertising: The case of French, German and Spanish in Dutch advertising. Journal of Multilingual and Multicultural Development, 28(3), 204-219. https://doi.org/10.2167/jmmd482.0

Islam, A. (2013). Investigating e-learning system usage outcomes in the university context. Computer & Education, 69, 387-399. https://doi.org/10.1016/j.compedu.2013.07.037

Kampelmann, S., Rycx, F., Saks, Y. & Tojerow, I. (2018). Does education raise productivity and wages equally? The moderating role of age and gender. IZA Journal of Labor Economics, 7(1), 1-37. https://doi.org/10.1186/s40172-017-0061-4

Larsen, Tor J., Sørebø, A.M. & Sørebø, Ø. (2009). The role of task-technology fit as users’ motivation to continue information system use. Computers in Human behavior, 25(3), 778-784. https://doi.org/10.1016/j.chb.2009.02.006

López Carrillo, D., Calonge García, A. Rodríguez Laguna, T., Ros Magán, G & Lebrón Moreno. J. A. (2019). Using Gamification in a Teaching Innovation Project at the University of Alcalá: A New Approach to Experimental Science Practices, Electronic Journal of E-learning, 17(2), 93-106. https://doi.org/10.34190/JEL.17.2.03

Orús, C., Barlés, M. J., Belanche, D., Casaló, L., Fraj, E. & Gurrea, R. (2016). The effects of learner-generated videos for YouTube on learning outcomes and satisfaction. Computers & Education, 95, 254-269. https://doi.org/10.1016/j.compedu.2016.01.007

Oser, F.K. & Baeriswyl, F. J. (2001). Choreographies of Teaching: Bridging Instruction to Learning. In: V. Richardson (Ed.). Handbook of Research on Teaching, 4th Edition. Washington, DC: American Educational Research Association.

Shah, I. A., Amjed, S. & Jaboob, S. (2020). The moderating role of entrepreneurship education in shaping entrepreneurial intentions. Journal of Economic Structures, 9(19), 1-15. https://doi.org/10.1186/s40008-020-00195-4

Singelmann, L., Striker, R., Alvarez Vazquez, E., Swartz, E., Pearson, M. & Ng, S.S. (2021). Creation of a framework that integrates technical innovation and learning in engineering. IEEE Frontiers in Education Conference (FIE). IEEE. https://doi.org/10.1109/FIE49875.2021.9637179

Stark, R., Gruber, H., Renkl, A. & Mandl, H. (1998). Instructional effects in complex learning: Do objective and subjective learning outcomes converge?. Learning and instruction, 8(2), 117-129. https://doi.org/10.1016/S0959-4752(97)00005-4

Voorhees, C.M., Brady, M.K., Calantone, R. & Ramirez, E. (2016). Discriminant validity testing in marketing: an analysis, causes for concern and proposed remedies. Journal of the Academy of Marketing Science, 44(1), 119-134. https://doi.org/10.1007/s11747-015-0455-4

Wortham, S. (2004). The Interdependence of Social Identification and Learning. American Educational Research Journal, 41(3), 715-750. https://doi.org/10.3102/00028312041003715

Zabalza, M. Á. (2009). Ser profesor universitario hoy, La cuestión universitaria, 5, 68-80.

Zaric, N., Roepke, R., Lukarov, V. & Schroeder, U. (2021). Gamified Learning Theory: The Moderating role of learners’ learning tendencies. International Journal of Serious Games, 8(3), 71-91. https://doi.org/10.17083/ijsg.v8i3.438

Zeithaml, V. A.; Berry, L. L. & Parasuraman, A. (1996). The behavioral consequences of service quality, Journal of marketing, 60(2), 31-46. https://doi.org/10.1177/002224299606000203

Journal of Management and Business Education

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Published

2026-07-24

Issue

Section

Special Issue AJICEDE 25

How to Cite

Rodríguez López, M. E., Guerrero Gómez, T., Alcántara Pilar, J. M., & Rojas Lamorena, Álvaro J. (2026). Evaluation of teaching performance in marketing: A longitudinal analysis of university students. Journal of Management and Business Education, 9(2), 269-280. https://doi.org/10.35564/jmbe.2026.0014