Online lab design for aviation engineering students in higher education: a pilot study

References

• Abdulwahed, M., & Nagy, Z. K. (2009). Applying Kolb’s experiential learning cycle for laboratory education. Journal of Engineering Education, 98(3), 283–294. https://doi.org/10.1002/j.2168-9830.2009.tb01025.x
   Web of Science ®Google Scholar
• Aji, C. A., & Khan, M. J. (2015). Virtual to reality: Teaching mathematics and aerospace concepts to undergraduates using unmanned aerial systems and flight simulation software. Journal of College Teaching & Learning (TLC), 12(3), 177–188. https://doi.org/10.19030/tlc.v12i3.9342
   Google Scholar
• Akyol, Z., & Garrison, D. R. (2008). The development of a community of inquiry over time in an online course: Understanding the progression and integration of social, cognitive and teaching presence. Journal of Asynchronous Learning Networks, 12(3), 3–22.
   Google Scholar
• Allen, J. G., MacNaughton, P., Cedeno-Laurent, J. G., Cao, X., Flanigan, S., Vallarino, J., Rueda, F., Donnelly-McLay, D., & Spengler, J. D. (2019). Airplane pilot flight performance on 21 maneuvers in a flight simulator under varying carbon dioxide concentrations. Journal of Exposure Science & Environmental Epidemiology, 29(4), 457–468. https://doi.org/10.1038/s41370-018-0055-8
   PubMed Web of Science ®Google Scholar
• Artino, A. R. J., & Jones, I. I. K. D. (2012). Exploring the complex relations between achievement emotions and self-regulated learning behaviors in online learning. The Internet and Higher Education, 15(3), 170–175. https://doi.org/10.1016/j.iheduc.2012.01.006
   Web of Science ®Google Scholar
• Bandura, A. (1977). Self-efficacy: toward a unifying theory of behavioral change. Psychological Review, 84(2), 191. https://doi.org/10.1037/0033-295X.84.2.191
   PubMed Web of Science ®Google Scholar
• Bandura, A. (1986). The explanatory and predictive scope of self-efficacy theory. Journal of Social and Clinical Psychology, 4(3), 359–373. https://doi.org/10.1521/jscp.1986.4.3.359
   Web of Science ®Google Scholar
• Bates, P., & Obexer, R. (2005). Evaluating student centred teaching and learning strategies for aviation students using a quality framework for online learning environments. In Australasian Society for Computers in Learning in Tertiary Education (pp. 67–77).
   Google Scholar
• Bernard, R. M., Borokhovski, E., Schmid, R. F., Tamim, R. M., & Abrami, P. C. (2014). A meta-analysis of blended learning and technology use in higher education: From the general to the applied. Journal of Computing in Higher Education, 26(1), 87–122. https://doi.org/10.1007/s12528-013-9077-3
   Web of Science ®Google Scholar
• Burigat, S., & Chittaro, L. (2016). Passive and active navigation of virtual environments vs. traditional printed evacuation maps: A comparative evaluation in the aviation domain. International Journal of Human-Computer Studies, 87, 92–105. https://doi.org/10.1016/j.ijhcs.2015.11.004
   Web of Science ®Google Scholar
• Calongne, C., & Hiles, J. (2007). Blended realities: A virtual tour of education in second life. In TCC Conference (pp. 70–90). Hawaii, USA.
   Google Scholar
• Chang, H. Y., Friesner, D., Chu, T. L., Huang, T. L., Liao, Y. N., & Teng, C. I. (2018). The impact of burnout on self-efficacy, outcome expectations, career interest and nurse turnover. Journal of Advanced Nursing, 74(11), 2555–2565. https://doi.org/10.1111/jan.13776
   PubMed Web of Science ®Google Scholar
• Chen, C. H., Wang, K. C., & Lin, Y. H. (2015). The comparison of solitary and collaborative modes of game-based learning on students' science learning and motivation. Journal of Educational Technology and Society, 18(2), 237–248.
   Google Scholar
• Chen, W., & Levinson, D. M. (2006). Effectiveness of learning transportation network growth through simulation. Journal of Professional Issues in Engineering Education and Practice, 132(1), 29–41. https://doi.org/10.1061/(ASCE)1052-3928(2006)132:1(29)
   Web of Science ®Google Scholar
• Chiang, T. H., Yang, S. J., & Hwang, G. J. (2014). An augmented reality-based mobile learning system to improve students’ learning achievements and motivations in natural science inquiry activities. Journal of Educational Technology and Society, 17(4), 352–365.
   Google Scholar
• Chiao, H. M., Chen, Y. L., & Huang, W. H. (2018). Examining the usability of an online virtual tour-guiding platform for cultural tourism education. Journal of Hospitality, Leisure, Sport & Tourism Education, 23, 29–38. https://doi.org/10.1016/j.jhlste.2018.05.002
   Web of Science ®Google Scholar
• Chiu, T. K. (2021). Applying the self-determination theory (SDT) to explain student engagement in online learning during the COVID-19 pandemic. Journal of Research on Technology in Education, 1–17. https://doi.org/10.1080/15391523.2021.1891998
   Web of Science ®Google Scholar
• Chu, K. W. S. (2009). Inquiry project-based learning with a partnership of three types of teachers and the school librarian. Journal of the American Society for Information Science and Technology, 60(8), 1671–1686. https://doi.org/10.1002/asi.21084
   Web of Science ®Google Scholar
• Dabbagh, N., & Kitsantas, A. (2004). Supporting self-regulation in student-centered web-based learning environments. International Journal on E-learning, 3(1), 40–47.
   Google Scholar
• Deci, E. L., & Ryan, R. M. (2000). The" what" and" why" of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry, 11(4), 227–268. https://doi.org/10.1207/S15327965PLI1104_01
   Web of Science ®Google Scholar
• Degani, A., & Wiener, E. L. (1993). Cockpit checklists: Concepts, design, and use. Human Factors: The Journal of the Human Factors and Ergonomics Society, 35(2), 345–359. https://doi.org/10.1177/001872089303500209
   Web of Science ®Google Scholar
• Dismukes, R. K., & Smith, G. M. (2017). Facilitation and debriefing in aviation training and operations. Routledge.
   Google Scholar
• Eberhardt, S. (2000). Airplanes for everyone: A general education course for non-engineers. Journal of Engineering Education, 89(1), 17–20. https://doi.org/10.1002/j.2168-9830.2000.tb00488.x
   Google Scholar
• Elliott E. W. III, & Fraiman, A. (2010). Using chem-wiki to increase student collaboration through online lab reporting. Journal of Chemical Education, 87(1), 54–56. https://doi.org/10.1021/ed800022b
   Web of Science ®Google Scholar
• Eschen, H., Kötter, T., Rodeck, R., Harnisch, M., & Schüppstuhl, T. (2018). Augmented and virtual reality for inspection and maintenance processes in the aviation industry. Procedia Manufacturing, 19, 156–163. https://doi.org/10.1016/j.promfg.2018.01.022
   Google Scholar
• Farias, G., Muñoz de la Peña, D., Gómez-Estern, F., De la Torre, L., Sánchez, C., & Dormido, S. (2016). Adding automatic evaluation to interactive virtual labs. Interactive Learning Environments, 24(7), 1456–1476. https://doi.org/10.1080/10494820.2015.1022559
   Web of Science ®Google Scholar
• Feisel, L. D., & Rosa, A. J. (2005). The role of the laboratory in undergraduate engineering education. Journal of Engineering Education, 94(1), 121–130. https://doi.org/10.1002/j.2168-9830.2005.tb00833.x
   Web of Science ®Google Scholar
• Ferla, M., & Graham, A. (2019). Women slowly taking off: An investigation into female underrepresentation in commercial aviation. Research in Transportation Business and Management, 31, 100378. https://doi.org/10.1016/j.rtbm.2019.100378
   Web of Science ®Google Scholar
• Field, S., Martin, J., Miller, R., Ward, M., & Wehmeyer, M. (1998). Self-determination for persons with disabilities: A position statement of me division on career development and transition. Career Development for Exceptional Individuals, 21(2), 113–128. https://doi.org/10.1177/088572889802100202
   Google Scholar
• Garrin, J. M. (2014). Self-efficacy, self-determination, and self-regulation: The role of the fitness professional in social change agency. Journal of Social Change, 6(1), 4. https://doi.org/10.5590/JOSC.2014.06.1.05
   Google Scholar
• Garrison, D. R. (2007). Online community of inquiry review: Social, cognitive, and teaching presence issues. Journal of Asynchronous Learning Networks, 11(1), 61–72.
   Google Scholar
• Geng, J., Chai, C. S., Jong, M. S. Y., & Luk, E. T. H. (2021). Understanding the pedagogical potential of Interactive Spherical Video-based Virtual Reality from the teachers’ perspective through the ACE framework. Interactive Learning Environments, 29(4), 618–633. https://doi.org/10.1080/10494820.2019.1593200
   Web of Science ®Google Scholar
• George, M., Eys, M. A., Oddson, B., Roy-Charland, A., Schinke, R. J., & Bruner, M. W. (2013). The role of self-determination in the relationship between social support and physical activity intentions. Journal of Applied Social Psychology, 43(6), 1333–1341. https://doi.org/10.1111/jasp.12142
   Web of Science ®Google Scholar
• Habgood, M. J., Ainsworth, S. E., & Benford, S. (2005). Endogenous fantasy and learning in digital games. Simulation and Gaming, 36(4), 483–498. https://doi.org/10.1177/1046878105282276
   Google Scholar
• Hakkarainen, K. A. I. (2003). Emergence of progressive-inquiry culture in computer-supported collaborative learning. Learning Environments Research, 6(2), 199–220. https://doi.org/10.1023/A:1024995120180
   Google Scholar
• Heinrichs, W. L., Youngblood, P., Harter, P. M., & Dev, P. (2008). Simulation for team training and assessment: Case studies of online training with virtual worlds. World Journal of Surgery, 32(2), 161–170. https://doi.org/10.1007/s00268-007-9354-2
   PubMed Web of Science ®Google Scholar
• Henley, I. M. (2017). Aviation education and training: Adult learning principles and teaching strategies. Routledge.
   Google Scholar
• Heradio, R., De La Torre, L., Galan, D., Cabrerizo, F. J., Herrera-Viedma, E., & Dormido, S. (2016). Virtual and remote labs in education: A bibliometric analysis. Computers & Education, 98, 14–38. https://doi.org/10.1016/j.compedu.2016.03.010
   Web of Science ®Google Scholar
• Herrmann-Werner, A., Nikendei, C., Keifenheim, K., Bosse, H. M., Lund, F., Wagner, R., Celebi, N., Zipfel, S., & Weyrich, P. (2013). Best practice” skills lab training vs. a “see one, do one” approach in undergraduate medical education: An RCT on students’ long-term ability to perform procedural clinical skills. PloS one, 8(9), e76354. https://doi.org/10.1371/journal.pone.0076354
   PubMed Web of Science ®Google Scholar
• Hookham, G., Nesbitt, K., Cooper, J., Croft, H., & Rasiah, R. (2015, February). Gamification for education: designing a pharmacy education game. In Australasian Conference on Artificial Life and Computational Intelligence (pp. 157–165). Springer, Cham.
   Google Scholar
• Hsu, H. C. K., Wang, C. V., & Levesque-Bristol, C. (2019). Reexamining the impact of self-determination theory on learning outcomes in the online learning environment. Education and Information Technologies, 24(3), 2159–2174. https://doi.org/10.1007/s10639-019-09863-w
   Web of Science ®Google Scholar
• Hubbard, S. M., & Lopp, D. (2015). An integrated framework for fostering human factor sustainability and increased safety in aviation ramp operations. Journal of Aviation Technology and Engineering, 5(1), 44. https://doi.org/10.7771/2159-6670.1113
   Google Scholar
• Issenberg, S. B., McGaghie, W. C., Gordon, D. L., Symes, S., Petrusa, E. R., Hart, I. R., & Harden, R. M. (2002). Effectiveness of a cardiology review course for internal medicine residents using simulation technology and deliberate practice. Teaching and Learning in Medicine, 14(4), 223–228. https://doi.org/10.1207/S15328015TLM1404_4
   PubMed Web of Science ®Google Scholar
• Jackson, C. R. (2018). Validating and adapting the motivated strategies for learning questionnaire (MSLQ) for STEM courses at an HBCU. Aera Open, 4(4), 2332858418809346. https://doi.org/10.1177/2332858418809346
   Web of Science ®Google Scholar
• Koh, C., Tan, H. S., Tan, K. C., Fang, L., Fong, F. M., Kan, D., Lye, S. L., & Wee, M. L. (2010). Investigating the effect of 3D simulation based learning on the motivation and performance of engineering students. Journal of Engineering Education, 99(3), 237–251. https://doi.org/10.1002/j.2168-9830.2010.tb01059.x
   Web of Science ®Google Scholar
• Lee, A. T. (2017). Flight simulation: Virtual environments in aviation. Routledge.
   Google Scholar
• León, J., Núñez, J. L., & Liew, J. (2015). Self-determination and STEM education: Effects of autonomy, motivation, and selfregulated learning on high school math achievement. Learning and Individual Differences, 43, 156–163. https://doi.org/10.1016/j.lindif.2015.08.017
   Web of Science ®Google Scholar
• Lepper, M. R., Corpus, J. H., & Iyengar, S. S. (2005). Intrinsic and extrinsic motivational orientations in the classroom: Age differences and academic correlates. Journal of Educational Psychology, 97(2), 184. https://doi.org/10.1037/0022-0663.97.2.184
   Web of Science ®Google Scholar
• Leung, J. K. L., Chu, S. K. W., Pong, T. C., Ng, D. T. K., & Qiao, S. (2021). Developing a framework for blended design-based learning in a first-year multidisciplinary design course. IEEE Transactions on Education. https://doi.org/10.1109/TE.2021.3112852
   PubMed Web of Science ®Google Scholar
• Li, R., Morelock, J. R., & May, D. (2020a). A comparative study of an online lab using Labsland and zoom during COVID-19. Advanced Engineering Education, 8(4), 1–10.
   Google Scholar
• Li, X., Yang, Y., Chu, S. K. W., Zainuddin, Z., & Zhang, Y. (2020b). Applying blended synchronous teaching and learning for flexible learning in higher education: An action research study at a university in Hong Kong. Asia Pacific Journal of Education, 1–17. https://doi.org/10.1080/02188791.2020.1766417
   Web of Science ®Google Scholar
• Lim, J. R. N., Rosenthal, S., Sim, Y. J. M., Lim, Z. Y., & Oh, K. R. (2021). Making online learning more satisfying: The effects of online-learning self-efficacy, social presence and content structure. Technology, Pedagogy and Education, 30(4), 543–556. https://doi.org/10.1080/1475939X.2021.1934102
   Web of Science ®Google Scholar
• Macphee, D., Farro, S., & Canetto, S. S. (2013). Academic self-efficacy and performance of underrepresented STEM majors: Gender, ethnic, and social class patterns. Analyses of Social Issues and Public Policy, 13(1), 347–369. https://doi.org/10.1111/asap.12033
   Web of Science ®Google Scholar
• Madrzycki, P., Szczekala, M., Karczmarz, D., & Perz-Osowska, M. (2014, July). Using the modern technology in training given to the aviation engineering staff. In 6th International Conference on “Scientific Computing to Computational Engineering” (pp. 9–12) Athens, Greece .
   Google Scholar
• Malone, T. W. (1981). Toward a theory of intrinsically motivating instruction. Cognitive Science, 5(4), 333–369. https://doi.org/10.1016/S0364-0213(81)80017-1
   Web of Science ®Google Scholar
• May, D., Terkowsky, C., Haertel, T., & Pleul, C. (2013, March). The laboratory in your hand Making remote laboratories accessible through mobile devices. In 2013 IEEE Global Engineering Education Conference (EDUCON) (pp. 335–344). IEEE.
   Google Scholar
• Ng, T. K., & Chu, S. K. W. (2021a). Motivating students to learn AI through social networking sites: A case study in Hong Kong. Online Learning, 25(1), 195–208. https://doi.org/10.24059/olj.v25i1.2454
   Web of Science ®Google Scholar
• Ng, T. K., & Chu, S. K. W. (2021b). Motivating students to learn STEM via engaging flight simulation activities. Journal of Science Education and Technology, 30(5), 608–629. https://doi.org/10.1007/s10956-021-09907-2
   Web of Science ®Google Scholar
• Ng, T. K., Reynolds, R., Chan, H. M. Y., Li, X. H., & Chu, S. K. W. (2020). Business (teaching) as usual amid the COVID-19 pandemic: A case study of online teaching practice in Hong Kong. Journal of Information Technology Education: Research, 19(1), 775–802. https://doi.org/10.28945/4620
   Google Scholar
• Ng, D. T. K. (2022). Online aviation learning experience during the COVID-19 pandemic in Hong Kong and Mainland China. https://doi.org/10.1111/bjet.13185
   Google Scholar
• Partin, M. L., Haney, J. J., Worch, E. A., Underwood, E. M., Nurnberger-Haag, J. A., Scheuermann, A., & Midden, W. R. (2011). Yes I can: The contributions of motivation and attitudes on course performance among biology non-majors. Journal of College Science Teaching, 40(6), 86–95.
   Google Scholar
• Perederic, I. C., & Simion, I. (2017). Virtualization of airport operations framework for a virtual environment. Journal of Industrial Design and Engineering Graphics, 12(1), 189–192.
   Google Scholar
• Restivo, M. T., Mendes, J., Lopes, A. M., Silva, C. M., & Chouzal, F. (2009). A remote laboratory in engineering measurement. IEEE Transactions on Industrial Electronics, 56(12), 4836–4843. https://doi.org/10.1109/TIE.2008.2011479
   Web of Science ®Google Scholar
• Richardson, J. C., Maeda, Y., Lv, J., & Caskurlu, S. (2017). Social presence in relation to students' satisfaction and learning in the online environment: A meta-analysis. Computers in Human Behavior, 71, 402–417. https://doi.org/10.1016/j.chb.2017.02.001
   Web of Science ®Google Scholar
• Rossydi, A., & Masita, M. (2021). The implementation of virtual classroom in English for aviation. Ethical Lingua: Journal of Language Teaching and Literature, 8(1), 260–268.
   Google Scholar
• Ryan, R. M., & Deci, E. L. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist, 55(1), 68–78. https://doi.org/10.1037/0003-066X.55.1.68
   PubMed Web of Science ®Google Scholar
• Sansone, C., Fraughton, T., Zachary, J. L., Butner, J., & Heiner, C. (2011). Self-regulation of motivation when learning online: The importance of who, why and how. Educational Technology Research and Development, 59(2), 199–212. https://doi.org/10.1007/s11423-011-9193-6
   Web of Science ®Google Scholar
• Schmid, R. F., Bernard, R. M., Borokhovski, E., Tamim, R. M., Abrami, P. C., Surkes, M. A., Wade, C. A., & Woods, J. (2014). The effects of technology use in postsecondary education: A meta-analysis of classroom applications. Computers & Education, 72, 271–291. https://doi.org/10.1016/j.compedu.2013.11.002
   Web of Science ®Google Scholar
• Schwarzer, R. (2014). Self-efficacy: Thought control of action. Taylor & Francis.
   Google Scholar
• Septiani, V., Amalia, D., & Cahyono, D. (2020). Implementation of inspector training system certification learning based on E-Learning in Palembang aviation polytechnic. International Journal of Progressive Sciences and Technologies, 23(1), 342–346. https://doi.org/10.52155/ijpsat.v23.1.2271
   Google Scholar
• Shen, D., Cho, M. H., Tsai, C. L., & Marra, R. (2013). Unpacking online learning experiences: Online learning self-efficacy and learning satisfaction. The Internet and Higher Education, 19, 10–17. https://doi.org/10.1016/j.iheduc.2013.04.001
   Web of Science ®Google Scholar
• Siqin, T., & Chu, S. K. W. (2021). How students take collective responsibility for productive collaboration: an empirical examination of online discourse. Interactive Learning Environments, 29(7), 1076–1089. https://doi.org/10.1080/10494820.2019.1636081
   Web of Science ®Google Scholar
• Sobieralski, J. B. (2020). COVID-19 and airline employment: Insights from historical uncertainty shocks to the industry. Transportation Research Interdisciplinary Perspectives, 5, 100123. https://doi.org/10.1016/j.trip.2020.100123
   PubMedGoogle Scholar
• Stipek, D. J. (1993). Motivation to learn: From theory to practice. Allyn and Bacon, A Division of Simon and Schuster, Inc. https://eric.ed.gov/?id=ED369773
   Google Scholar
• Terkowsky, C., Haertel, T., Bielski, E., & May, D. (2014, April). Bringing the inquiring mind back into the labs a conceptual framework to foster the creative attitude in higher engineering education. In 2014 IEEE Global Engineering Education Conference (EDUCON) (pp. 930–935). IEEE.
   Google Scholar
• Thungjaroenkul, P., Cummings, G. G., & Tate, K. (2016). Testing the social cognitive career theory in Thai nurses' interest to become nurse educators: A structural equation modeling analysis. Nurse Education Today, 44, 151–156. https://doi.org/10.1016/j.nedt.2016.05.027
   PubMed Web of Science ®Google Scholar
• Tudor, T. R. (2018). Fully integrating academic advising with career coaching to increase student retention, graduation rates and future job satisfaction: An industry approach. Industry and Higher Education, 32(2), 73–79. https://doi.org/10.1177/0950422218759928
   Web of Science ®Google Scholar
• Valiathan, P. (2002). Blended learning models. Learning Circuits, 3(8), 50–59.
   Google Scholar
• Vansteenkiste, M., Lens, W., & Deci, E. L. (2006). Intrinsic versus extrinsic goal contents in self-determination theory: Another look at the quality of academic motivation. Educational Psychologist, 41(1), 19–31. https://doi.org/10.1207/s15326985ep4101_4
   Web of Science ®Google Scholar
• Vaughan, N., & Garrison, D. R. (2005). Creating cognitive presence in a blended faculty development community. The Internet and Higher Education, 8(1), 1–12. https://doi.org/10.1016/j.iheduc.2004.11.001
   Google Scholar
• Wang, X. (2013). Why students choose STEM majors: Motivation, high school learning, and postsecondary context of support. American Educational Research Journal, 50(5), 1081–1121. https://doi.org/10.3102/0002831213488622
   Web of Science ®Google Scholar
• Weiszer, M., Chen, J., & Locatelli, G. (2015). An integrated optimisation approach to airport ground operations to foster sustainability in the aviation sector. Applied Energy, 157, 567–582. https://doi.org/10.1016/j.apenergy.2015.04.039
   Web of Science ®Google Scholar
• Wigfield, A., Eccles, J. S., & Rodriguez, D. (1998). The development of children’s motivation in school contexts. Review of Research in Education, 23(1), 73–118. https://doi.org/10.3102/0091732X023001073
   Google Scholar
• Young, A. M., Wendel, P. J., Esson, J. M., & Plank, K. M. (2018). Motivational decline and recovery in higher education STEM courses. International Journal of Science Education, 40(9), 1016–1033. https://doi.org/10.1080/09500693.2018.1460773
   Web of Science ®Google Scholar
• Zeldin, A. L., & Pajares, F. (2000). Against the odds: Self-efficacy beliefs of women in mathematical, scientific, and technological careers. American Educational Research Journal, 37(1), 215–246. https://doi.org/10.3102/00028312037001215
   Web of Science ®Google Scholar
• Zouhri, K., & Running, C. L. (2021, July). Different Zoom breakout room methods and techniques’ effects on engineering students’ learning outcomes for engineering courses. In 2021 ASEE Virtual Annual Conference Content Access.
   Google Scholar