Contrastes en el proceso de aprendizaje en estudiantes de la carrera de Ingeniería Forestal

Autores/as

DOI:

https://doi.org/10.15359/ru.36-1.43

Palabras clave:

Técnicas de aprendizaje, modelo de aprendizaje forestal, Ingeniería Forestal

Resumen

[Objetivo] El estudio se enfocó en analizar los estilos de aprendizaje y la percepción de estudiantes universitarios de ingeniería forestal con tres niveles de avance (principiante, intermedio y avanzado). [Metodología] Se aplicaron pruebas para determinar el conocimiento en temas afines a la carrera, percepción de la carrera y temáticas o conceptos que consideren complicados o problemáticos, todos bajo pruebas en modalidad doble ciego con pruebas previamente validadas; posteriormente, se desarrolló un modelo de estilo de aprendizaje. [Resultados] Los resultados mostraron diferencias significativas entre los estudiantes principiantes con respecto a los intermedios y avanzados. El grupo principiante tiende a tener una deficiencia de aprendizaje memorístico y significativo, lo cual llega a mejorar conforme el estudiante avance en la carrera. Además, se determinó que la mejora en aspectos de aprendizaje como trabajo en equipo, habilidades blandas y trabajo bajo presión incrementan las capacidades de aprendizaje del estudiante. Al momento de analizar el modelo se determinó que las expectativas del alumno mostraron poca relación con el modelo propuesto; esto, indiferentemente el nivel de aprendizaje. Aspectos como el conocimiento previo y las influencias sociales tienen un efecto significativo en el aprendizaje, lo cual afecta indirectamente la satisfacción del usuario. [Conclusiones] El modelo propuesto tiene una adaptabilidad con los estudiantes de ingeniería forestal y permite una evolución en el entendimiento de conceptos y habilidades claves para la carrera; sin embargo, la primera etapa de carrera (principiante), requiere mejora en vías de disminuir la carga memorísticas e impulsar aprendizaje con métodos observacionales y de descubrimiento que darían mayor funcionalidad y motivación a los estudiantes.

Referencias

Abele, E., Chryssolouris, G., Sihn, W., Metternich, J., ElMaraghy, H., Seliger, G., Sivard, G., ElMaraghy, W., Hummel, V., & Tisch, M. (2017). Learning factories for future oriented research and education in manufacturing. CIRP annals, 66(2), 803-826. https://doi.org/10.1016/j.cirp.2017.05.005

Atabekova, A., Belousov, A., & Shoustikova, T. (2015). Web 3.0-based non-formal learning to meet the third millennium education requirements: University Students’ perceptions. Procedia-Social and Behavioral Sciences, 214, 511-519. https://doi.org/10.1016/j.sbspro.2015.11.754

Barsness, K. A. (2020). Achieving expert performance through simulation-based education and application of mastery learning principles. Seminars in Pediatric Surgery. https://doi.org/10.1016/j.sempedsurg.2020.150904

Barteit, S., Guzek, D., Jahn, A., Bärnighausen, T., Jorge, M. M., & Neuhann, F. (2020). Evaluation of e-learning for medical education in low-and middle-income countries: A systematic review. Computers & education, 145, 103726. https://doi.org/10.1016/j.compedu.2019.103726

Boarin, P., Martinez-Molina, A., & Juan-Ferruses, I. (2020). Understanding students’ perception of sustainability in architecture education: A comparison among universities in three different continents. Journal of Cleaner Production, 248, 119237. https://doi.org/10.1016/j.jclepro.2019.119237

Brew, A., & Saunders, C. (2020). Making sense of research-based learning in teacher education. Teaching and Teacher Education, 87, 102935. https://doi.org/10.1016/j.tate.2019.102935

Bullard, S. H., & Straka, T. J. (2014). Bullish on forestry careers.

Camacho-Cornejo, L. D., Salas-Garita, C., Vargas-Fonseca, L., & Valverde-Otárola, J. C. (2017). Medición del conocimiento adquirido en tecnología de la madera por industriales forestales en Costa Rica. Revista Tecnología en Marcha, 30, 35-46. http://www.scielo.sa.cr/scielo.php?script=sci_arttext&pid=S0379-39822017000300035&nrm=iso

Crompton, H., & Burke, D. (2018). The use of mobile learning in higher education: A systematic review. Computers & education, 123, 53-64. https://doi.org/10.1016/j.compedu.2018.04.007

Dantas, L. A., & Cunha, A. (2020). An integrative debate on learning styles and the learning process. Social Sciences & Humanities Open, 2(1), 100017. https://doi.org/10.1016/j.ssaho.2020.100017

De Villiers, R. (2010). The incorporation of soft skills into accounting curricula: preparing accounting graduates for their unpredictable futures. Meditari Accountancy Research. https://doi.org/10.1108/10222529201000007

Finelli, C. J., Nguyen, K., DeMonbrun, M., Borrego, M., Prince, M., Husman, J., Henderson, C., Shekhar, P., & Waters, C. K. (2018). Reducing student resistance to active learning: Strategies for instructors. Journal of College Science Teaching, 47(5).

Gogus, A., & Gunes, H. (2011). Learning styles and effective learning habits of university students: A case from Turkey. College Student Journal, 45(3), 586-601.

Grosemans, I., Coertjens, L., & Kyndt, E. (2017). Exploring learning and fit in the transition from higher education to the labour market: A systematic review. Educational Research Review, 21, 67-84. https://doi.org/10.1016/j.edurev.2017.03.001

Guzman, T., Pirog, M. A., & Jung, H. (2021). Cost of higher education: For-profit universities and online learning. The Social Science Journal, 58(4), 407-421. https://doi.org/10.1016/j.soscij.2019.03.010

Hooshyar, D., Pedaste, M., Saks, K., Leijen, Ä., Bardone, E., & Wang, M. (2020). Open learner models in supporting self-regulated learning in higher education: A systematic literature review. Computers & education, 154, 103878. https://doi.org/10.1016/j.compedu.2020.103878

Kahl, C. (2014). Students’ dream of a “perfect” learning environment in private higher education in Malaysia: An exploratory study on “education in private university in Malaysia”. Procedia-Social and Behavioral Sciences, 123, 325-332. https://doi.org/10.1016/j.sbspro.2014.01.1430

Koraneekij, P., & Khlaisang, J. (2015). Development of learning outcome based e-portfolio model emphasizing on cognitive skills in pedagogical blended e-learning environment for undergraduate students at faculty of education, Chulalongkorn University. Procedia-Social and Behavioral Sciences, 174, 805-813. https://doi.org/10.1016/j.sbspro.2015.01.664

Kovacova, L., & Vackova, M. (2015). Implementation of e-learning into the process security education in universities. Procedia-Social and Behavioral Sciences, 182, 414-419. https://doi.org/10.1016/j.sbspro.2015.04.810

Kozhevnikov, M., Evans, C., & Kosslyn, S. M. (2014). Cognitive style as environmentally sensitive individual differences in cognition: A modern synthesis and applications in education, business, and management. Psychological science in the public interest, 15(1), 3-33. https://doi.org/10.1177/1529100614525555

Leal Filho, W., Raath, S., Lazzarini, B., Vargas, V. R., de Souza, L., Anholon, R., Quelhas, O. L. G., Haddad, R., Klavins, M., & Orlovic, V. L. (2018). The role of transformation in learning and education for sustainability. Journal of Cleaner Production, 199, 286-295. https://doi.org/10.1016/j.jclepro.2018.07.017

Li, L., & Zhang, J. (2021). Successful Online Learning Experience: Perceptions of Chinese Undergraduate Students. Journal of Education and Learning, 10(1), 74-81. https://doi.org/10.5539/jel.v10n1p74

López-Fernández, D., Sánchez, P. S., Fernández, J., Tinao, I., & Lapuerta, V. (2020). Challenge-based learning in aerospace engineering education: the ESA concurrent engineering challenge at the Technical University of Madrid. Acta Astronautica, 171, 369-377. https://doi.org/10.1016/j.actaastro.2020.03.027

López-Vargas, O., Ibáñez-Ibáñez, J., & Racines-Prada, O. (2017). Students’ metacognition and cognitive style and their effect on cognitive load and learning achievement. Journal of educational technology & society, 20(3), 145-157.

Mampadi, F., Chen, S. Y., Ghinea, G., & Chen, M.-P. (2011). Design of adaptive hypermedia learning systems: A cognitive style approach. Computers & education, 56(4), 1003-1011. https://doi.org/10.1016/j.compedu.2010.11.018

Margunayasa, I. G., Dantes, N., Marhaeni, A., & Suastra, I. W. (2019). The Effect of Guided Inquiry Learning and Cognitive Style on Science Learning Achievement. International Journal of Instruction, 12(1), 737-750. https://doi.org/10.29333/iji.2019.12147a

Mélendez, J. R., Zoghbe, Y. A., Malvacias, A. M., Almeida, G. A.,, & Layana, J. (2018). Theory of Constraints: A systematic review from the management context. Revista Espacios, 39(48).

Mingazova, N. (2014). Modification Of the active learning methods in environmental education in Russian universities. Procedia-Social and Behavioral Sciences, 131, 85-89. https://doi.org/10.1016/j.sbspro.2014.04.083

Mullen, J., Byun, C., Gadepally, V., Samsi, S., Reuther, A., & Kepner, J. (2017). Learning by doing, High Performance Computing education in the MOOC era. Journal of Parallel and Distributed Computing, 105, 105-115. https://doi.org/10.1016/j.jpdc.2017.01.015

Muncharaz, J. Z., de los Ríos Carmenado, I., & Rivera, M. (2015). Education Planning Evolution for Forest Engineering in Spain. Procedia-Social and Behavioral Sciences, 197, 1710-1715. https://doi.org/10.1016/j.sbspro.2015.07.224

Pinho, C., Franco, M., & Mendes, L. (2020). Exploring the conditions of success in e-libraries in the higher education context through the lens of the social learning theory. Information & Management, 57(4), 103208. https://doi.org/10.1016/j.im.2019.103208

Probst, L., Bardach, L., Kamusingize, D., Templer, N., Ogwali, H., Owamani, A., Mulumba, L., Onwonga, R., & Adugna, B. (2019). A transformative university learning experience contributes to sustainability attitudes, skills and agency. Journal of Cleaner Production, 232, 648-656. https://doi.org/10.1016/j.jclepro.2019.05.395

Psaltou-Joycey, A., & Kantaridou, Z. (2011). Major, minor, and negative learning style preferences of university students. System, 39(1), 103-112. https://doi.org/10.1016/j.system.2011.01.008

Rapanta, C., Botturi, L., Goodyear, P., Guàrdia, L., & Koole, M. (2020). Online university teaching during and after the Covid-19 crisis: Refocusing teacher presence and learning activity. Postdigital science and education, 2(3), 923-945. https://doi.org/10.1007/s42438-020-00155-y

Riding, R. J., & Sadler‐Smith, E. (1997). Cognitive style and learning strategies: Some implications for training design. International Journal of training and Development, 1(3), 199-208. https://doi.org/10.1111/1468-2419.00020

Ritter, B. A., Small, E. E., Mortimer, J. W., & Doll, J. L. (2018). Designing management curriculum for workplace readiness: Developing students’ soft skills. Journal of Management Education, 42(1), 80-103. https://doi.org/10.1177/1052562917703679

Ruba, J., Brizga, D., Svika, D., Miezīte, O., & Sisenis, L. (2019). Forest engineering students competence development in adult education. Society. Integration. Education. Proceedings of the International Scientific Conference. https://doi.org/10.17770/sie2019vol5.3758

Schmeck, R. R. (2013). Learning strategies and learning styles. Springer Science & Business Media.

Simsek, A., & Balaban, J. (2010). Learning strategies of successful and unsuccessful university students. Contemporary Educational Technology, 1(1), 36-45. https://doi.org/10.30935/cedtech/5960

Spinelli, R., Visser, R., & Han, H.S. (2019). A decade of forest engineering: achievements and future directions. Forests, 10(9), 724. https://doi.org/10.3390/f10090724

Stewardson, D., & Spielmaker, D. (2019). Find your future in a living science career. Science Scope, 42(9), 40-46. https://doi.org/10.2505/4/ss19_042_09_40

Šušnjar, M., Oršanić, M., Pentek, T., Poršinsky, T., & Šporčić, M. (2013). Recent challenges of forest engineering academic education. Croatian Journal of Forest Engineering: Journal for Theory and Application of Forestry Engineering, 34(1), 167-172.

Taguas, E., Marín-Moreno, V., Bellegarde, B., Bergillos, C., & Campos, R. (2018). Collaborative Learning for ICTs in Agro-Forest Engineering Studies: a study case based on workshops carried out by undergraduate students. EGU General Assembly Conference Abstracts.

Thangrattana, M. K., Pathumcharoenwattana, W., & Ninlamot, W. (2014). A Non-formal Education Program to Enhance Drug Abuse Resilience Quotient of Youth At-risk of Drug Relapse: The Approaching of the Transformative Learning Theory and the Cognitive Behavioral Modification Concept. Procedia-Social and Behavioral Sciences, 152, 916-924. https://doi.org/10.1016/j.sbspro.2014.09.343

Tinajero, C., Lemos, S. M., Araújo, M., Ferraces, M. J., & Páramo, M. F. (2012). Cognitive style and learning strategies as factors which affect academic achievement of Brazilian university students. Psicologia: Reflexão e Crítica, 25(1), 105-113. https://doi.org/10.1590/s0102-79722012000100013

Valverde, J. C., Romero-Zúñiga, M., & Vargas-Fonseca, L. (2020). Tendencias actuales, retos y oportunidades de los procesos de aprendizaje universitario aplicados a las ciencias forestales. Revista científica(39), 262-277. https://doi.org/10.14483/23448350.16030

Vargas-Fonseca, L., Valverde, J. C., Camacho-Cornejo, D., Salas-Garita, C., & Berrocal-Jiménez, A. (2021). Análisis perceptual del proceso de transferencia de conocimiento en maderas a instituciones en Costa Rica. Colombia Forestal, 24(1), 17-30. https://doi.org/10.14483/2256201X.15347

Westwood, A. R., Hutchen, J., Kapoor, T., Klenk, K., Saturno, J., Wang, J., Falconer, M., & Nguyen, V. M. (2021). A systematic mapping protocol for understanding knowledge exchange in forest science. Ecological Solutions and Evidence, 2(3), e12096. https://doi.org/10.1002/2688-8319.12096

Willingham, D. T., Hughes, E. M., & Dobolyi, D. G. (2015). The scientific status of learning styles theories. Teaching of Psychology, 42(3), 266-271. https://doi.org/10.1177/0098628315589505

Yurdakul Erol, S. (2022). Comparison of Forest Engineering Students’ Attitudes towards Their Education and Future Jobs: Case Results from Turkey. Sustainability, 14(1), 530. https://doi.org/10.3390/su14010530

Publicado

2022-11-01

Número

Sección

Artículos científicos originales (arbitrados por pares académicos)

Comentarios (ver términos de uso)

Artículos más leídos del mismo autor/a