Effectiveness of Aerodrome Controller Refresher Training To Maintain Competency of Aerodrome Controllers

Authors

  • I Gusti Agung Ayu Mas Oka Politeknik Penerbangan Palembang, Indonesia
  • Yeti Komalasari Politeknik Penerbangan Palembang, Indonesia
  • Badeni Badeni Universitas Bengkulu, Indonesia

Abstract

The training effectiveness is an assessment of degree to which training can enhance knowledge, skills, and attitudes of participants in alignment with the training objectives. Furthermore, assessing training effectiveness also encompassed evaluating the training program itself. The aim of this study is to investigate effectiveness of Aerodrome Controller Refresher Training in order to maintain competency of Aerodrome Controllers. CIPRL (context, input, process, reaction, and learning) was an evaluation model used in this study. Variables assessed in the context were policies and training objectives. Variables assessed in the input were training materials and training facilities. Variable assessed in the process was the training process, consists of training preparation, implementation, and evaluation. Variable assessed in the reaction was the satisfaction of training participants. Finally, variable assessed in the learning was the score of the training participants. The results of this study were indicated that all variables investigated align with established standards, leading to conclusion that the training has been carried out effectively and has successfully met the goal. To maintain the competency of aerodrome controllers was the primary goal of this training. Some recommendations were provided to enhance the effectiveness of Aerodrome Controllers Training.

References

Alvarez, K., Salas, E., & Garofano, C. M. (2004). An Integrated Model of Training Evaluation and Effectiveness. Human Resource Development Review, 3(4), 385–416. https://doi.org/10.1177/1534484304270820

Ambarita, F. A., Maas, L. T., & Sadalia, I. (2022). Analysis of the Influence of Training Materials and Methods on the Effectiveness of Training. International Journal of Research and Review, 9(8), 793–809. https://doi.org/10.52403/ijrr.20220867

Baartman, L. K. J., & De Bruijn, E. (2011). Integrating knowledge, skills and attitudes: Conceptualising learning processes towards vocational competence. Educational Research Review, 6(2), 125–134. https://doi.org/10.1016/j.edurev.2011.03.001

Barnard, M., Whitt, E., & McDonald, S. (2020). Learning objectives and their effects on learning and assessment preparation: insights from an undergraduate psychology course. Assessment and Evaluation in Higher Education, 46(5), 673–684. https://doi.org/10.1080/02602938.2020.1822281

Bates, R. (2004). A Critical Analysis of Evaluation Practice : the Kirkpatrick Model and the Principle of Beneficence A critical analysis of evaluation practice : the Kirkpatrick model and the principle of beneficence. Evaluation and Program Planning, 27, 341–347. https://doi.org/10.1016/j.evalprogplan.2004.04.011

Bergner, J., & Hassa, O. (2012). Air Traffic Control. In Information Ergonomics. Springer-Verlag Berlin Heidelberg. https://doi.org/https://doi.org/10.1007/978-3-642-25841-1_7

Bongo, M., & Seva, R. (2022). Effect of Fatigue in Air Traffic Controllers’ Workload, Situation Awareness, and Control Strategy. International Journal of Aerospace Psychology, 32(1), 1–23. https://doi.org/10.1080/24721840.2021.1896951

Dewi, L. R., & Kartowagiran, B. (2018). An evaluation of internship program by using Kirkpatrick evaluation model. Research and Evaluation in Education, 4(2), 155–163. https://doi.org/10.21831/reid.v4i2.22495

DGCA. (2022). Manual of Standard Part 69-01: Licence, Rating, Training and Competency of Air Traffic Controller Personnel. Directorat General of Civil Aviation - Indonesia. https://hubud.dephub.go.id/hubud/website/Regulasi.php?law=10

FAA. (2020). ORDER JO 3000.22B - Air Traffic Organization Technical Training Management. Federal Aviation Administration. https://www.faa.gov/documentLibrary/media/Order/FAA_JO_3000.22B_rv.pdf

Frye, A. W., & Hemmer, P. A. (2012). Program evaluation models and related theories: AMEE Guide No. 67. Medical Teacher, 34(5). https://doi.org/10.3109/0142159X.2012.668637

Gibbs, L., Slevitch, L., & Washburn, I. (2017). Competency-Based Training in Aviation: The Impact on Flight Attendant Performance and Passenger Satisfaction. Journal of Aviation/Aerospace Education and Research, September. https://doi.org/10.15394/jaaer.2017.1716

Heydari, M. R., Taghva, F., Amini, M., & Delavari, S. (2019). Using Kirkpatrick’s model to measure the effect of a new teaching and learning methods workshop for health care staff. BMC Research Notes, 12(1), 1–5. https://doi.org/10.1186/s13104-019-4421-y

ICAO. (2016). Doc 4444-Air Traffic Management (Sixteenth). International Civil Aviation Organization. https://www.icao.int/publications/

ICAO. (2018). Annex 11 Air Traffic Services (Fiftteenth). International Civil Aviation Organization. https://www.icao.int/publications/

Isnanto, S. H. (2021). Improving employee job satisfaction in aviation industry. Angkasa: Jurnal Ilmiah Bidang Teknologi, 13(2), 163–170. https://doi.org/10.28989/angkasa.v13i2.1093

Kirkpatrick, D. L., & Kirkpatrick, J. D. (2008). Evaluating Training Programms-The Four Levels (Third Edit). Berrett-Koehler Publishers, Inc.

Knill, C., & Tosun, J. (2008). Policy Making. https://www.researchgate.net/publication/30014974_Policy_making

Liu, W., Zhang, H., Shi, Z., Wang, Y., Chang, J., & Zhang, J. (2023). Risk Topics Discovery and Trend Analysis in Air Traffic Control Operations-Air Traffic Control Incident Reports from 2000 to 2022. Sustainability (Switzerland), 15(15). https://doi.org/10.3390/su151512065

Malakis, S., & Kontogiannis, T. (2012). Refresher Training for Air Traffic Controllers: Is It Adequate to Meet the Challenges of Emergencies and Abnormal Situations? International Journal of Aviation Psychology, 22(1), 59–77. https://doi.org/10.1080/10508414.2012.635127

Manna, A., & Biswas, D. (2021). Theory of Training Effectiveness Evaluation. International Journal of Management, Technology And Engineering, 8(XI), 271–282. https://www.researchgate.net/publication/328964895_Theory_of_Training_Effectiveness

Moon, W.-C., Yoo, K.-E., & Choi, Y.-C. (2011). Air Traffic Volume and Air Traffic Control Human Errors. Journal of Transportation Technologies, 01(03), 47–53. https://doi.org/10.4236/jtts.2011.13007

Nawaz, F., Bannu, T., Ahmad, W., & Khushnood, M. (2023). Kirkpatrick Model and Training Effectiveness : A Meta-Analysis 1982 To 2021. April. https://doi.org/10.22547/BER/14.2.2

Ratnaya, G., Indriaswuri, R., Widayanthi, D. G. C., Atmaja, I. M. P. D., & Dalem, A. A. G. P. K. P. (2022). CIPP Evaluation Model for Vocational Education: A Critical Review. Education Quarterly Reviews, 5(3). https://doi.org/10.31014/aior.1993.05.03.519

Rodrigues, S., Paiva, J. S., Dias, D., Aleixo, M., Filipe, R., & Cunha, J. P. S. (2018). A Wearable System for the Stress Monitoring of Air Traffic Controllers During An Air Traffic Control Refresher Training and the Trier Social Stress Test: A Comparative Study. The Open Bioinformatics Journal, 11(1), 106–116. https://doi.org/10.2174/1875036201811010106

Sant’Anna, D. A. L. M. de, & Hilal, A. V. G. de. (2021). The impact of human factors on pilots’ safety behavior in offshore aviation companies: A brazilian case. Safety Science, 140(March). https://doi.org/10.1016/j.ssci.2021.105272

Sonnenfeld, N. A., Nguyen, B., Alonso, A., & Jentsch, F. (2023). Training Effectiveness Evaluation : Frameworks and Considerations for Flightcrew Training Review & Approval. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 1 –3, 2004–2006. https://doi.org/10.1177/21695067231192933

Wang, Y., Hu, R., Lin, S., Schultz, M., & Delahaye, D. (2021). The impact of automation on air traffic controller’s behaviors. Aerospace, 8(9), 1–21. https://doi.org/10.3390/aerospace8090260

Warju, W. (2016). Educational Program Evaluation using CIPP Model. Innovation of Vocational Technology Education, 12(1). https://doi.org/10.17509/invotec.v12i1.4502

Wu, Y.-C., Hsieh, L.-F., & Lu, J.-J. (2015). What’s The Relationship between Learning Satisfaction and Continuing Learning Intention? Procedia - Social and Behavioral Sciences, 191, 2849–2854. https://doi.org/10.1016/j.sbspro.2015.04.148

Yang, J., Yang, H., Wu, Z., & Wu, X. (2023). Cognitive Load Assessment of Air Traffic Controller Based on SCNN-TransE Network Using Speech Data. Aerospace, 10(7), 1–20. https://doi.org/10.3390/aerospace10070584

Zeng, W., Xu, Z., Cai, Z., Chu, X., & Lu, X. (2021). Aircraft trajectory clustering in terminal airspace based on deep autoencoder and gaussian mixture model. Aerospace, 8(9). https://doi.org/10.3390/aerospace8090266

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Published

12-03-2024

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