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Predictors of Relevance and Interpretation: Application of the COLLES questionnaire in university students

S. Chicana-Huanca. Universidad Católica de Santa María, Arequipa, Perú.

F. Ticona-Apaza. Universidad Nacional de San Agustín, Arequipa, Perú.

L. G. Quispe-Quispe. Universidad Nacional de San Agustín, Arequipa, Perú.

V. Ticona-Apaza. Universidad Nacional de San Agustín, Arequipa, Perú.

F. Delgado-Delgado. Universidad Católica de Santa María, Arequipa, Perú.

O. Gutierrez-Aguilar. Universidad Católica de Santa María, Arequipa, Perú.

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Full chapter (English)

 

https://doi.org/10.54988/uaj.000027.015

 

Número completo
Full number

 

 

 

 

 

 

 

 

 

 


Predictors of Relevance and Interpretation: Application of the COLLES questionnaire in university students

S. Chicana-Huanca. Universidad Católica de Santa María, Arequipa, Perú.

F. Ticona-Apaza. Universidad Nacional de San Agustín, Arequipa, Perú.

L. G. Quispe-Quispe. Universidad Nacional de San Agustín, Arequipa, Perú.

V. Ticona-Apaza. Universidad Nacional de San Agustín, Arequipa, Perú.

F. Delgado-Delgado. Universidad Católica de Santa María, Arequipa, Perú.

O. Gutierrez-Aguilar. Universidad Católica de Santa María, Arequipa, Perú.

Capítulo completo (inglés)

Full chapter (English)

 

https://doi.org/10.54988/uaj.000027.015

 

Resumen/Abstract

Resumen / Abstract


The objective of this research was to identify the predictors of relevance and interpretation in online learning environments using the COLLES questionnaire. The study employed a quantitative, non-experimental, cross-sectional design with 101 psychology students from a private university in Peru. Data were collected via the COLLES questionnaire administered through the Moodle LMS, evaluating six factors: Relevance, Reflective Thinking, Interactivity, Tutor Support, Affective Support, and Interpretation. Path coefficients and statistical analyses revealed that Affective Sup-port and Tutor Support significantly predicted both Relevance and Interpretation (p < 0.05). Reflective Thinking also positively influenced Relevance (p = 0.010), while Interactivity did not show significant effects on either variable. The key conclusion is that emotional and tutor support greatly enhance students' perceptions of course relevance and comprehension. Future research should aim to improve the quality of student interactions and explore advanced technologies like artificial intelligence to further personalize student support in online learning environments, thereby optimizing educational experiences.

Palabras Clave/Keywords

Palabras Clave / Keywords


Relevance, Reflective Thinking, Interactivity, Tutor Support, Affective Support, Interpretation, COLLES.

Referencias/References

Referencias / References


1. Aguilar, O.G., Martinez Delgado, M., Quispe, F.P.: Collaborative learning and its relationship with the classmates affective support with the COLLES questionnaire application. Proceedings of the 15th Latin American Conference on Learning Technologies, LACLO 2020 (2020). doi:http://doi.org/10.1109/LACLO50806.2020.9381176

2. García-Martín, J., García-Sánchez, J.N.: The Instructional Effectiveness of Two Virtual Approaches: Processes and Product. Revista de Psicodidactica 23(2), 117-127 (2018). doi:10.1016/j.psicod.2018.02.002

3. Manzanares, M.C.S., Sánchez, R.M., García Osorio, C.I., Díez-Pastor, J.F.: How do B-learning and learning patterns influence learning outcomes? Frontiers in Psychology 8(MAY) (2017). doi:10.3389/fpsyg.2017.00745

4. Hernández-García, Á., Cuenca-Enrique, C., Del-Río-Carazo, L., Iglesias-Pradas, S.: Exploring the relationship between LMS interactions and academic performance: A Learning Cycle approach. Computers in Human Behavior 155 (2024). doi:10.1016/j.chb.2024.108183

5. Sáiz-Manzanares, M.C., Marticorena-Sánchez, R., Díez-Pastor, J.F., García-Osorio, C.I.: Does the use of learning management systems with hypermedia mean improved student learning outcomes? Frontiers in Psychology 10(FEB) (2019). doi:10.3389/fpsyg.2019.00088

6. Bystrenina, I., Nikitin, P.: Adaptive Knowledge Control in Digital Learning as a Factor in Improving the Quality of Education. Education Sciences 12(10) (2022). doi:10.3390/educsci12100638

7. Ostroukh, A., Blinova, V., Skvortsova, T., Nikonov, V., Ivanova, I., Morozova, T.: Enhancement of testing process in learning management system moodle. Asian Journal of Applied Sciences 7(7), 568-580 (2014). doi:10.3923/ajaps.2014.568.580

8. Infante-Moro, A., Infante-Moro, J.C., Pérez, J.G., Nguyen, T.-.-L.: Aspects to be taken into account by teachers for the correct use of Moodle as a support tool for face-to-face teaching. Campus Virtuales 13(2), 215-224 (2024). doi:https://doi.org/10.54988/cv.2024.2.1587

9. Baker, J.: Constructivist Online Learning Environment Survey. In: Handbook of Research on Electronic Surveys and Measurements. IGI Global, (2007), pp. 299-301

Cómo citar/How to cite

Cómo citar / How to cite


Chicana-Huanca, S., Ticona-Apaza, T., Quispe-Quispe, L. G, Ticona-Apaza, T., Delgado-Delgado, F., y Gutierrez-Aguilar, O. (2024). Predictors of Relevance and Interpretation: Application of the COLLES questionnaire in university students. En C. Rusu et al., (1ª ed.), Transformación digital en la educación: innovaciones y desafíos desde los campus virtuales (pp. 87-92). Huelva (España): United Academic Journals (UA Journals). https://doi.org/10.54988/uaj.000027.015


 

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