•  
  •  
 

DOI

10.22550/REP79-3-2021-03

Abstract

The evaluation of teaching performance is a challenge and a necessity for the university community, which confers importance to it as it reflects the quality of the teaching-learning process. Different factors influence the out­comes of the teacher-student relationship, such as teacher credibility or academic motiva­tion. Therefore, the purpose of this study was to predict the results of the evaluation on uni­versity teachers based on student perceptions of teacher credibility, mediated by the motiva­tion of university students. 674 students from the University of Seville participated in the study, aged between 18 and 42 years (78.2% women and 21.8% men). The Credibility Scale, the Motivated Strategies for Learning Ques­tionnaire and the Evaluation of University Teaching Questionnaire were all applied. The data obtained were analyzed from a structur­al equation modeling approach using partial least squares (PLS-SEM) to predict teaching evaluation. The results highlight the direct effect of teacher credibility and motivation on teaching evaluation, as well as the mediating effect of motivation between teacher credi­bility and teaching evaluation. Through the predictive validity of the model, it is concluded that teaching credibility and the motivation of the university students predict the evalu­ation of university instructors. The findings relate to prior literature, and future research is proposed to analyse other possible methods for teachers to improve the teaching-learning process. Strategies are provided for teachers to manage their credibility in the teaching context, thus increasing the motivation of their students and improving the evaluations of their teaching.

Please, cite this article as follows: Froment, F., Bohórquez, M. R., García González, A. J. (2021). El impacto de la credibilidad docente y la motivación del estudiante en la evaluación de la docencia | The impact of teacher credibility and student motivation on the evaluation of instruction. Revista Española de Pedagogía, 79 (280), 413-435. 10.22550/REP79-3-2021-03

Referencias | References

Andrade-Abarca, P. S., Jaramillo, L. N. R., & Loaiza-Aguirre, M. I. (2018). Aplicación del SEEQ como instrumento para evaluar la actividad docente universitaria [Appli­cation of the SEEQ as an instrument for evaluating university teaching activity]. Revista de Investigación Educativa, 36 (1), 259-275. 10.6018/rie.36.1.260741

Becker, J. M., Rai, A., & Rigdon, E. (2013). Predictive validity and formative measu­rement in structural equation modeling: Embracing practical relevance. Thirty Fourth International Conference on Infor­mation Systems (pp. 1-19). Milan.

Benton, S. L., & Cashin, W. E. (2014). Stu­dent ratings of instruction in college and university courses. In M. B. Paulsen (Ed.), Higher Education: Handbook of theory and research (pp. 279-326). Springer.

Beran, T., & Violato, C. (2005). Ratings of university teacher instruction: How much do student and course characteristics rea­lly matter? Assessment & Evaluation in Higher Education, 30 (6), 593-601. ht­tps://doi.org/10.1080/02602930500260688

Boring, A. (2017). Gender biases in student evaluations of teaching. Journal of Pu­blic Economics, 145, 27-41. 10.1016/j.jpubeco.2016.11.006

Calatayud, M. (2014). Evaluación de la prác­tica docente y calidad educativa: una rela­ción encadenada [Evaluation of teaching practice and quality of education: a rela­tionship chained]. Revista Iberoamerica­na de Educación, 65 (1), 1-12. 10.35362/rie651331

Cámara, M. L., Bocardo, I., Galindo, M. E., García, H., & Sánchez, C. V. (2018). La evaluación del desempeño docente en la educación superior [The evaluation of teacher’s performance in higher educa­tion]. Revista Digital Universitaria, 19 (6), 1-11. 10.22201/co­deic.16076079e.2018.v19n6.a2

Cepeda-Carrión, G., Henseler, J., Ringle, C. M., & Roldán, J. L. (2016). Predic­tion-oriented modeling in business re­search by means of PLS path modeling: Introduction to a JBR special section. Journal of Business Research, 69 (10), 4544-4550. 10.1016/j.jbus­res.2016.03.048

Chin, W., Cheah, J. H., Liu, Y., Ting, H., Lim, X. J., & Cham, T. H. (2020). Demystify-ing the role of causal-predictive mode­ling using partial least squares structural equation modeling in information systems research. Industrial Management & Data Systems, 120 (12), 2161-2209. https://doi. org/10.1108/IMDS-10-2019-0529

Cho, D., Baek, W., & Cho, J. (2015). Why do good performing students highly rate their instructors? Evidence from a na­tural experiment. Economics of Educa­tion Review, 49, 172-179. https://doi.or­g/10.1016/j.econedurev.2015.10.001

Christensen, L. J., & Menzel, K. E. (1998). The linear relationship between stu­dent reports of teacher immediacy be­haviors and perceptions of state moti­vation, and of cognitive, affective, and behavioral learning. Communication Education, 47 (1), 82-90. https://doi. org/10.1080/03634529809379112

Cohen, J. (1988). Statistical power analysis for the behavioral. Erlbaum.

Cortés, E., Campos, M., & Moreno, M. (2014). Priorización de las dimensiones de eva­luación al desempeño docente por el es­tudiante, en tres áreas del conocimiento [Prioritization of the dimensions of teacher performance evaluation by students, in three areas of knowledge]. Formación universitaria, 7 (2), 3-10. http://dx.doi. org/10.4067/S0718-50062014000200002

Escribano, E. (2018). El desempe­ño del docente como factor asocia­do a la calidad educativa en Améri­ca Latina [Teacher performance as a factor associated with educational qual-ity in Latin America]. Revista Educación, 42 (2), 717-739. 10.15517/ revedu.v42i2.27033

Feistauer, D., & Richter, T. (2018a). The role of clarity about study programme contents and interest in student evalua­ tions of teaching. Psychology Learning & Teaching, 17 (3), 272-292. https://doi. org/10.1177/1475725718779727

Feistauer, D., & Richter, T. (2018b). Validity of students’ evaluations of teaching: Biasing effects of likability and prior subject inter-est. Studies in Educational Evaluation, 59, 168-178. 10.1016/j. stueduc.2018.07.009

Feldman, K. A. (1998). Reflections on the study of effective college teaching and student ratings: One continuing quest and two unresolved issues. In J. C. Smart (Ed.), Higher education: Handbook of theory and research (pp. 35-74). Agathon Press.

Finn, A. N., Schrodt, P., Witt, P. L., Elledge, N., Jernberg, K. A., & Larson, L. M. (2009). A meta-analytical review of teacher credibi­lity and its associations with teacher be­haviors and student outcomes. Communi­cation Education, 58 (4), 516-537. https:// doi.org/10.1080/03634520903131154

Fornell, C., & Larcker, D. F. (1981). Structur-al equation models with unobservable variables and measurement error: Alge­bra and statistics. Journal of Marketing Research, 18 (3), 382-388. https://doi. org/10.1177/002224378101800313

Froment, F., Bohórquez, M. R., & García, A. J. (2020). Credibilidad docente: una revisión de la literatura [Teacher credibility: a lit-erature review]. Teoría de la Educación. Revista Interuniversitaria, 32 (1), 1-32. http://dx.doi.org/10.14201/teri.20313

Froment, F., García, A. J., Bohórquez, M. R., & García-Jiménez, E. (2019). Adaptación y validación en español de la Escala de Credibilidad en profesores universitarios [Adaptation and Validation in Spanish of the Credibility Scale for Credibility Scale in University Professors]. Revista Ibe­roamericana de Diagnóstico y Evaluación – e Avaliação Psicológica, 51 (2), 61-76. http://dx.doi.org/10.21865/RIDEP51.2.05

Frymier, A. B., & Shulman, G. M. (1995). “What’s in it for me?”: Increasing content to enhance students’ motivation. Commu­nication Education, 44 (1), 40-50. https:// doi.org/10.1080/03634529509378996

Ghasemy, M., Teeroovengadum, V., Becker, J. M., & Ringle, C. M. (2020). This fast car can move faster: a review of PLS-SEM application in higher education research. Higher Education, 80, 1121-1152. https:// doi.org/10.1007/s10734-020-00534-1

Gil-Escudero, G., & Martínez-Arias, M. R. (2001). Metodología de encuestas [Survey methodology]. In M. J. Navas (Ed.), Mé­todos, diseños y técnicas de investigación psicológica (pp. 379-436). Universidad Nacional de Educación a Distancia.

Goldman, Z. W., Cranmer, G. A., Sollitto, M., Labelle, S., & Lancaster, A. L. (2017). What do college students want? A prioriti­zation of instructional behaviors and cha­racteristics. Communication Education, 66 (3), 280-298. 10.1080/0 3634523.2016.1265135

Gómez, L. F., & Valdés, M. G. (2019). La eva­luación del desempeño docente en la edu­cación superior [The evaluation of tea­ching performance in higher education]. Propósitos y Representaciones, 7 (2), 479- 515. http://dx.doi.org/10.20511/pyr2019. v7n2.255

Gray, D. L., Anderman, E. M., & O´Connell, A. A. (2011). Associations of teacher credibil-ity and teacher affinity with learning out­comes in health classrooms. Social Psychol-ogy of Education, 14 (2), 185-208. https:// doi.org/10.1007/s11218-010-9143-x

Griffin, B. W. (2016). Perceived autonomy sup-port, intrinsic motivation, and student ratings of instruction. Studies in Educa­tional Evaluation, 51, 116-125. https:// doi.org/10.1016/j.stueduc.2016.10.007

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares structural equation mode­ling (PLS-SEM). Sage Publications.

Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Castillo-Apraiz, J., Cepeda-Carrión, G., & Roldán, J. L. (2019). Manual de Par­tial Least Squares Structural Equation Modeling (PLS-SEM) [A Primer on Par­tial Least Squares Structural Equation Modeling (PLS-SEM)]. OmniaScience.

Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing theory and Practice, 19 (2), 139-152. 10.2753/ MTP1069-6679190202

Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31 (1), 2-24. https://doi. org/10.1108/EBR-11-2018-0203

Hair, J. F., Sarstedt, M., Ringle, C. M., & Gu­dergan, S. P. (2018). Advanced issues in partial least squares structural equation modeling (PLS-SEM). Sage Publications.

Hatfield, C. L., & Coyle, E. A. (2013). Factors that influence student completion of course and faculty evaluations. American Jour­nal of Pharmaceutical Education, 77 (2), 1-4. 10.5688/ajpe77227

Hayes, A. (2013). Introduction to media­tion, moderation, and conditional process analysis. Guilford.

Hejase, A. J., Hejase, H. J., & Kaakour, R. S. A. (2014). The impact of students’ charac­teristics on their perceptions of the eva­luation of teaching process. International Journal of Management Sciences, 4 (2), 90-105.

Henseler, J. (2017). Partial least squares path modeling. In K. H. Leeflang, P. S. Wierin­ga, J. E. Bijmolt, & T. H. Pauwels (Eds.), Advanced methods for modeling markets (pp. 361-381). Springer.

Henseler, J. (2018). Partial least squares path modeling: Quo vadis? Quality & Quanti­ty, 52 (1), 1-8. 10.1007/ s11135-018-0689-6

Henseler, J., Hubona, G., & Ray, P. A. (2016). Using PLS path modeling in new technol-ogy research: Updated guidelines. Indus­trial Management & Data Systems, 116 (1), 2-20. 10.1108/IMDS- 09-2015-0382

Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discrim-inant validity in variance-based structural equation modeling. Journal of the Acad-emy of Marketing Science, 43 (1), 115-135. 10.1007/s11747-014-0403-8

Hu, L. T., & Bentler, P. M. (1999). Cut-off criteria for fit indexes in co-varian­ce structure analysis: Conventional cri­teria versus new alternatives. Struc-tural Equation Modeling: A Multidisci­plinary Journal, 6 (1), 1-55. https://doi. org/10.1080/10705519909540118

Jiménez, A. A. (2017). Un instrumento de preguntas abiertas para la revisión de la docencia universitaria [An instrument of open questions for the review of universi­ty teaching]. Revista Fuentes, 19 (1), 57- 71. https://revistascientificas.us.es/index. php/fuentes/article/view/3460

Jones, A. C. (2008). The effects of out-of-class support on student satisfaction and motivation to learn. Communication Education, 57 (3), 373-388. https://doi. org/10.1080/03634520801968830

Katt, J. A., & Condly, S. J. (2009). A prelim-inary study of classroom motivators and demotivators from a motivation-hygie­ne perspective. Communication Edu­cation, 58 (2), 213-234. https://doi. org/10.1080/03634520802511472

Khan, S., Shah, A., & Ahmad, S. (2015). The role of out-of-class communication in in-structor’s verbal/non-verbal behavior,

trust, and student motivation. Business & Economic Review, 7 (1), 81-100.

Korte, L., Lavin, A., & Davies, T. (2013). Does gender impact business students’ percep­tions of teaching effectiveness? Journal of College Teaching & Learning (TLC), 10 (3), 167-178. 10.19030/tlc. v10i3.7933

Kulkarni, S., Afshan, N., & Motwani, J. (2018). The impact of faculty member’s communi­cation behaviours on student satisfaction: the role of cognitive and affective learning and student’s motivation. International Journal of Productivity and Quality Man-agement, 25 (4), 444-458.

Lavin, A. M., Davies, T. L., & Carr, D. L. (2010). The impact of instructor attire on student perceptions of faculty credibility and their own resultant behavior. Ame­rican Journal of Business Education, 3 (6), 51-62. 10.19030/ajbe. v3i6.442

Lin, H. M., Lee, M. H., Liang, J. C., Chang, H. Y., Huang, P., & Tsai, C. C. (2020). A review of using partial least square struc­tural equation modeling in e-learning research. British Journal of Educational Technology, 51 (4), 1354-1372. https://doi. org/10.1111/bjet.12890

López-Barajas, D. M., & Ruiz-Carrascosa, J. (2005). La evaluación de la docencia uni­versitaria. Dimensiones y variables más relevantes [The evaluation of university teaching. Dimensions and most relevant variables]. Revista de Investigación Edu­cativa, 23 (1), 57-84.

Martin, M. M., Chesebro, J. L., & Mottet, T. P. (1997). Students´ perceptions of in-structors socio-communicative style and the influence on instructor credibility and situational motivation. Communication Research Reports, 14, 431-440. https:// doi.org/10.1080/08824099709388686

Martínez, J. R., & Galán, F. (2000). Estrate­gias de aprendizaje, motivación y rendi­miento académico en alumnos universita­rios [Learning strategies, motivation and academic performance in university stu­dents]. Revista Española de Orientación y Psicopedagogía, 11 (19), 35-50.

Martínez-Caro, E., Cepeda-Carrión, G., Ce­garra-Navarro, J. G., & García-Pérez, A. (2020). The effect of information technol-ogy assimilation on firm performance in B2B scenarios. Industrial Management & Data Systems, 120 (12), 2269-2296. ht­tps://doi.org/10.1108/IMDS-10-2019-0554

McCroskey, J. C. (1992). An introduction to communication in the classroom. Burgess International.

McCroskey, J. C., & Teven, J. J. (1999). Goodwill: A reexamination of the cons­truct and its measurement. Communica­tion Monographs, 66, 90-103. https://doi. org/10.1080/03637759909376464

McCroskey, J. C., Valencic, K. M., & Rich­mond, V. P. (2004). Toward a general model of instructional communication. Commu­nication Quarterly, 52 (3), 197-210. ht­tps://doi.org/10.1080/01463370409370192

Millette, D. M., & Gorham, J. (2002). Teacher behavior and student motivation. In J. L. Cheseboro & J. C. McCroskey (Eds.), Communication for teachers (pp. 141- 153). Allyn & Bacon.

Moreno-Murcia, J. A., Silveira, Y., & Belando, N. (2015). Cuestionario de evaluación de las competencias docentes en el ámbito uni­versitario. Evaluación de las competencias docentes en la universidad. New Approach-es in Educational Research, 4 (1), 54-61. http://doi.org/10.7821/naer.2015.1.106

Moreno-Olivos, T. (2018). La evaluación do­cente en la universidad: visiones de los alumnos [Teacher evaluation at universi­ty: Students’ visions of it]. REICE. Revis­ta Iberoamericana sobre Calidad, Eficacia y Cambio en Educación, 16 (3), 87-101. ht­tps://doi.org/10.15366/reice2018.16.3.005

Myers, S. A., & Martin, M. M. (2018). In-structor Credibility. In M. L. Houser & A. M. Hosek (Ed.), Handbook of instructio­nal communication: rhetorical and rela­tional perspectives (pp. 38-50). Routledge.

Myers, S. A., & Rocca, K. A. (2001). Per-ceived instructor argumentativeness and verbal aggressiveness in the college classroom: Effects on student percep­tions of climate, apprehension, and sta­te motivation. Western Journal of Com­munication, 65 (2), 113-137. https://doi. org/10.1080/10570310109374696

Nadler, M. K., & Nadler, L. B. (2001). The ro­les of sex, empathy, and credibility in out of-class communication between faculty and students. Women’s Studies in Com­munication, 24, 241-261. 1 0.1080/07491409.2001.10162436

Ochoa-Sierra, L., & Moya-Pardo, C. (2019). La evaluación docente universitaria: retos y posibilidades [University Teacher Eva­luation: Challenges and Possibilities]. Fo­lios, 49, 41-60. http://dx.doi.org/10.17227/ folios.49-9390

Olivares, O. J. (2001). Student interest, grad-ing leniency, and teacher ratings: A con­ceptual analysis. Contemporary Educatio­nal Psychology, 26 (3), 382-399. https:// doi.org/10.1006/ceps.2000.1070

Pascual, I. &, Gaviria, J. (2004). El proble­ma de la fiabilidad en la evaluación de la eficacia docente en la universidad: una alternativa metodológica [The problem of reliability when evaluating teaching effi­ciency: A methodological alternative]. re­vista española de pedagogía, 62 (229), 359-375.

Peterson, R. A., & Kim, Y. (2013). On the re­lationship between coefficient alpha and composite reliability. Journal of Applied Psychology, 98 (1), 194-198. https://doi. org/10.1037/a0030767

Pogue, L., & AhYun, K. (2006). The effect of teacher nonverbal immediacy and credibility on student motivation and affective learning. Communication Edu­cation, 55 (3), 331-344. https://doi. org/10.1080/03634520600748623

Rigdon, E. E. (2016). Choosing PLS path mod-eling as analytical method in European management research: A realist perspec­tive. European Management Journal, 34 (6), 598-605. 10.1016/j. emj.2016.05.006

Ringle, C. M., Wende, S., & Becker, J. (2015). SmartPLS 3. SmartPLS.

Roach, K. D., Cornett-Devito, M. M., & Devi­to, R. (2005). A cross-cultural comparison of instructor communication in American and French classrooms. Communication Quarterly, 53 (1), 87-107. https://doi. org/10.1080/01463370500056127

Rodríguez, J. I., Plax, T. G., & Kearney, P. (1996). Clarifying the relationship be­tween teacher nonverbal immediacy and student cognitive learning: Affective lear­ning as the central causal mediator. Com­munication Education, 45 (4), 293-305. ht­tps://doi.org/10.1080/03634529609379059

Roldán, J. L., & Sánchez-Franco, M. J. (2012). Variance-based structural equation mod-eling: Guidelines for using partial least squares in information systems research. In M. Mora, O. Gelman, A. Steenkamp, & M. Raisinghani (Eds.), Research methodolo­gies, innovations and philosophies in soft-ware systems engineering and informa­tion systems (pp. 193-221). IGI Global.

Russ, T., Simonds, C., & Hunt, S. (2002). Com-ing out in the classroom (...) An occu-pational hazard?: The influence of sexual orientation on teacher credibility and perceived student learning. Communica­ tion Education, 51 (3), 3123-544. https:// doi.org/10.1080/03634520216516

Sarstedt, M., Hair Jr, J. F., Cheah, J. H., Bec­ker, J. M., & Ringle, C. M. (2019). How to specify, estimate, and validate higher-or­der constructs in PLS-SEM. Australa­sian Marketing Journal (AMJ), 27 (3), 197-211. 10.1016/j.aus­mj.2019.05.003

Schrodt, P., Turman, P. D., & Soliz, J. (2006). Perceived understanding as a mediator of perceived teacher confirmation and stu­dents´ ratings of instruction. Communi­cation Education, 55 (4), 370-388. https:// doi.org/10.1080/03634520600879196

Schrodt, P., Witt, P. L., Myers, S. A., Turman, P. D., Barton, M. H., & Jernberg, K. A. (2008). Learner empowerment and tea­cher evaluations as functions of teacher power use in the college classroom. Com­munication Education, 57 (2), 180-200. ht­tps://doi.org/10.1080/03634520701840303

Shmueli, G., & Koppius, O. R. (2011). Pre­dictive analytics in information systems research. MIS Quarterly, 35, 553-572. ht­tps://doi.org/10.2307/23042796

Shmueli, G., Ray, S., Velasquez-Estrada, J. M., & Chatla, S. B. (2016). The elephant in the room: Predictive performance of PLS models. Journal of Business Research, 69 (10), 4552-4564. 10.1016/j. jbusres.2016.03.049

Shmueli, G., Sarstedt, M., Hair, J., Cheah, J., Ting, H., Vaithilingam, S., & Ringle, C. (2019). Predictive model assessment in PLS-SEM: Guidelines for using PLSpre­dict. European Journal of Marketing, 53 (11), 2322-2347. 10.1108/ EJM-02-2019-0189

Smimou, K., & Dahl, D. W. (2012). On the re­lationship between students’ perceptions of teaching quality, methods of assess­ment, and satisfaction. Journal of Educa­tion for Business, 87 (1), 22-35. https:// doi.org/10.1080/08832323.2010.550339

Straub, D., Boudreau, M. C., & Gefen, D. (2004). Validation guidelines for IS posi-tivist research. Communications of the Association for Information Systems, 13 (1), 380-427.

Streukens, S., & Leroi-Werelds, S. (2016). Bootstrapping and PLS-SEM: A step-by-step guide to get more out of your bootstrap results. European Management Journal, 34 (6), 618-632. https://doi.or­g/10.1016/j.emj.2016.06.003

Tan, S., Lau, E., Ting, H., Cheah, J. H., Simo­netti, B., & Lip, T. H. (2019). How do stu­dents evaluate instructors’ performance? Implication of teaching abilities, physical attractiveness and psychological. Social Indicators Research, 146 (1-2), 61-76. ht­tps://doi.org/10.1007/s11205-019-02071-6

Tejedor, F. J. (2012). Evaluación del desempe­ño docente [Teacher performance evalua­tion]. Revista Iberoamericana de Evalua­ción Educativa, 5 (1e), 319-327.

Tejedor, F. J. (2018). La evaluación del profe­sorado como estrategia de mejora de la ca­lidad de la enseñanza universitaria [The evaluation of the teacher as a strategy for improvement of the quality of university education]. Revista de Educación y Dere­cho, 17, 1-9.

Teven, J. J. (2007). Teacher caring and class­room behavior: Relationship with student affect and perceptions of teacher compe­tence and trustworthiness. Communica­tion Quarterly, 55, 433-450. https://doi. org/10.1080/01463370701658077

Teven, J. J., & McCroskey, J. C. (1997). The re­lationship of perceived teacher caring with student learning and teacher evaluation. Communication Education, 46, 1-9. ht­tps://doi.org/10.1080/03634529709379069

Tirado, F., Miranda, A., & Sánchez, A. (2007). La evaluación como proceso de legitimi­ dad: la opinión de los alumnos. Reporte de una experiencia. Perfiles Educativos, 29 (118), 7-24.

Wallace, S. L., Lewi, A. K., & Allen, M. D. (2019). The State of the Literature on Student Evaluations of Teaching and an Exploratory Analysis of Written Com­ments: Who Benefits Most? College Tea­ching, 67 (1), 1-14. 10.108 0/87567555.2018.1483317

Wheeless, V. E., Witt, P. L., Maresh, M., Bryand, M. C., & Schrodt, P. (2011). Instructor credibility as a mediator of instructor communication and students’ intent to persist in college. Communication Educa­tion, 60 (3), 314-339. 10.1080/03634523.2011.555917

Woodside, A. G. (2013). Moving beyond multi­ple regression analysis to algorithms: Call-ing for adoption of a paradigm shift from symmetric to asymmetric thinking in data analysis and crafting theory. Journal of Business Research, 66 (4), 463-472. 10.1016/j.jbus­res.2012.12.021

Zardeckaite-Matulaitiene, K., & Paluckaite, U. (2013). The relation between teacher’s self-disclosure and student’s motivation to learn. European Scientific Journal, 9 (28), 456-469.

Zhang, Q., & Sapp, D. A. (2008). A burning issue in teaching: The impact of teacher burnout and nonverbal immediacy on student mot-ivation and affective learning. Journal of Communication Studies, 1 (2), 152-168.

Zhang, Q., & Zhang, J. (2005). Teacher cla­rity: Effects on classroom communication apprehension, student motivation, and learning in Chinese college classrooms. Journal of Intercultural Communication Research, 34, 255-266.

Zhu, L. & Anagondahalli, D. (2018). Pre­dicting student satisfaction: the role of academic entitlement and nonverbal im­mediacy. Communication Reports, 31 (1), 41-52. 10.1080/08934215.2 017.1364777

Author Biography

Facundo Froment holds an In­ternational PhD in Education and is a researcher in the Department of Social Psychology at the Uni­versity of Seville. His research fo­cuses on students’ perceptions of teachers and their impact on teach­ing-learning processes. In this sense, he has published several scientific studies on teacher credibility and stu­dent academic motivation.

https://orcid.org/0000-0002-2337-3032

Rocío Bohórquez is Assistant Professor in the Department of Social Psychology at the University of Se­ville. Her research is developed in the field of interpersonal and intergroup relations in performance contexts such as higher education or sport; she has several scientific publications in this area. This research interest has led to several knowledge transfer pro­jects with companies.

https://orcid.org/0000-0001-5021-1197

Alfonso Javier García González is Associate Professor in the Depart­ment of Social Psychology. He has ob­tained numerous awards and research grants that have allowed him to devel­op research on psychosocial aspects of intergenerational relationships of older people and motivation and expectations of university students in relation to their teachers. He currently teaches Primary Education students on topics related to teachers’ social skills.

https://orcid.org/0000-0002-0839-162X

Licencia Creative Commons | Creative Commons License

Creative Commons Attribution-NonCommercial 4.0 International License

Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial 4.0.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Share

COinS