Collaborative network learning (CNL) on students’ online learning

I Nyoman Kanca; Gede Ginaya; Ni Nyoman Sri Astuti

doi:10.21744/ijllc.v7n5.1923

Authors

I Nyoman Kanca
nyomankanca@pnb.ac.id
Politeknik Negeri Bali, Denpasar, Indonesia
Gede Ginaya Politeknik Negeri Bali, Denpasar, Indonesia
Ni Nyoman Sri Astuti Politeknik Negeri Bali, Denpasar, Indonesia

Keywords:

collaborative network learning, English for food and beverage, operation, online learning, students

Abstract

This study aimed at enhancing students’ online learning through CNL method in English for Food and Beverage Operation Subject Course. The participants of the study were 30 students at the second semester of Hospitality Study Program in State Polytechnic of Bali. Qualitative methods were used in data analysis; a sample of students’ learning achievement was analyzed in light of the CNL assessment criteria. A questionnaire was administered to highlight progress in students’ online learning in CNL method. CNL method proved to be effective in enhancing students’ online learning in English for Food and Beverage Operation Subject Course, specifically in the online dialogue between co-learner, learner, and the teacher. Interviews with higher vocational education teachers of English emphasized students need for innovative online learning method such as CNL to help them develop as efficient learning. The online class encouraged students to work together as one team and to express their ideas fluently to excel in their learning assignments. Having an authentic reason for doing online learning motivated them to do research and to refine their learning assignments to be good enough to share with others.

Downloads

Download data is not yet available.

References

Arshavskaya, E., & Whitney, A. E. (2014). Promoting pre-service second language (L2) teacher learning via narrative: A sociocultural perspective. Journal of Language Teaching and Research, 5(4), 731.

Bates, R., & Khasawneh, S. (2007). Self-efficacy and college students’ perceptions and use of online learning systems. Computers in Human Behavior, 23(1), 175-191. https://doi.org/10.1016/j.chb.2004.04.004

Batlle, J., & Miller, P. (2017). Video enhanced observation and teacher development: Teachers’ beliefs as technology users. EDULEARN17 Proceedings, 1.

Bonomi, S., Sarti, D., & Torre, T. (2020). Creating a collaborative network for welfare services in public sector. A knowledge-based perspective. Journal of Business Research, 112, 440-449. https://doi.org/10.1016/j.jbusres.2019.11.050

Çelik, S., Baran, E., & Sert, O. (2018). The affordances of mobile-app supported teacher observations for peer feedback. International Journal of Mobile and Blended Learning (IJMBL), 10(2), 36-49.

Ellis, J., McFadden, J., Anwar, T., & Roehrig, G. (2015). Investigating the social interactions of beginning teachers using a video annotation tool. Contemporary Issues in Technology and Teacher Education, 15(3), 404-421.

Fadde, P., & Sullivan, P. (2013). Using interactive video to develop pre-service teachers’ classroom awareness. Contemporary Issues in Technology and Teacher Education, 13(2), 156-174.

Gaudin, C., & Chaliès, S. (2015). Video viewing in teacher education and professional development: A literature review. Educational research review, 16, 41-67.

Ginaya, G., Rejeki, I. N. M., & Astuti, N. N. S. (2018). The effects of blended learning to students' speaking ability. International journal of linguistics, literature and culture, 4(3), 1-14.

Ginaya, G., Rejeki, I. N. M., & Astuti, N. N. S. (2018). The effects of blended learning to students’ speaking ability: A study of utilizing technology to strengthen the conventional instruction. International Journal of Linguistics, Literature and Culture, 4(3), 1-14. Retrieved from https://sloap.org/journals/index.php/ijllc/article/view/158

Harmini, A. A. A. N., Ginaya, G., Widhari, C. I. S., & Pemayun, I. D. G. A. (2019, October). Motivation and Self-Efficacy of Travel and Tourism Business Study Program Using English to Support The Graduate Competence. In International Conference On Applied Science and Technology 2019-Social Sciences Track (iCASTSS 2019) (pp. 66-71). Atlantis Press.

Hatip, A. (2020). The Transformation Of Learning During Covid-19 Pandemic Towards The New Normal Era. PROCEEDING UMSURABAYA.

Hu, Y. H., Lo, C. L., & Shih, S. P. (2014). Developing early warning systems to predict students’ online learning performance. Computers in Human Behavior, 36, 469-478. https://doi.org/10.1016/j.chb.2014.04.002

Jensen, P. S., Martin, D., & Watanabe, H. (1996). Children's response to parental separation during Operation Desert Storm. Journal of the American Academy of Child & Adolescent Psychiatry, 35(4), 433-441. https://doi.org/10.1097/00004583-199604000-00009

Jossberger, H., Brand?Gruwel, S., Boshuizen, H., & Van de Wiel, M. (2010). The challenge of self?directed and self?regulated learning in vocational education: A theoretical analysis and synthesis of requirements. Journal of vocational education and training, 62(4), 415-440.

Khalil, M., Pirpamer, L., Hofer, E., Voortman, M. M., Barro, C., Leppert, D., ... & Kuhle, J. (2020). Serum neurofilament light levels in normal aging and their association with morphologic brain changes. Nature communications, 11(1), 1-9.

Kleinknecht, M., & Schneider, J. (2013). What do teachers think and feel when analyzing videos of themselves and other teachers teaching?. Teaching and teacher education, 33, 13-23.

Krismayani, N. W., Suastra, I. M., Suparwa, I. N., & Sudipa, I. N. (2020). The english material needs of economics and business students. International Journal of Linguistics, Literature and Culture, 6(1), 51-61. https://doi.org/10.21744/ijllc.v6n1.829

McCrickerd, K., Lensing, N., & Yeomans, M. R. (2015). The impact of food and beverage characteristics on expectations of satiation, satiety and thirst. Food quality and preference, 44, 130-138. https://doi.org/10.1016/j.foodqual.2015.04.003

Moore, J. L., Dickson-Deane, C., & Galyen, K. (2011). e-Learning, online learning, and distance learning environments: Are they the same?. The Internet and higher education, 14(2), 129-135. https://doi.org/10.1016/j.iheduc.2010.10.001

Ogle, A. D., Graham, D. J., Lucas-Thompson, R. G., & Roberto, C. A. (2017). Influence of cartoon media characters on children's attention to and preference for food and beverage products. Journal of the Academy of Nutrition and Dietetics, 117(2), 265-270. https://doi.org/10.1016/j.jand.2016.08.012

Oliver, K., & Stallings, D. (2014). Preparing teachers for emerging blended learning environments. Journal of Technology and Teacher Education, 22(1), 57-81.

Patarakin, Y., & Shilova, O. (2015). Concept of learning design for collaborative network activity. Procedia-Social and Behavioral Sciences, 214, 1083-1090. https://doi.org/10.1016/j.sbspro.2015.11.709

Seidel, J. A., Otsuka, A., & Kabashima, K. (2018). Anti-PD-1 and anti-CTLA-4 therapies in cancer: mechanisms of action, efficacy, and limitations. Frontiers in oncology, 8, 86.

Song, L., Singleton, E. S., Hill, J. R., & Koh, M. H. (2004). Improving online learning: Student perceptions of useful and challenging characteristics. The internet and higher education, 7(1), 59-70. https://doi.org/10.1016/j.iheduc.2003.11.003

Wamnebo, W., Hanapi, H., Bugis, R., & Handayani, N. (2018). Students’ Speaking Skill in Oral Descriptive Text by Using Video at Tenth Grade in SMA Negeri 1 Namlea. Jurnal Jupiter, 16(2), 98.

Wang, D., Cui, P., & Zhu, W. (2016, August). Structural deep network embedding. In Proceedings of the 22nd ACM SIGKDD international conference on Knowledge discovery and data mining (pp. 1225-1234).

Wiendahl, H. P., ElMaraghy, H. A., Nyhuis, P., Zäh, M. F., Wiendahl, H. H., Duffie, N., & Brieke, M. (2007). Changeable manufacturing-classification, design and operation. CIRP annals, 56(2), 783-809. https://doi.org/10.1016/j.cirp.2007.10.003

Wolters, C. A., & Taylor, D. J. (2012). A self-regulated learning perspective on student engagement. In Handbook of research on student engagement (pp. 635-651). Springer, Boston, MA.