The pre-registration nursing training programmes were facing practical difficulties in arranging clinical practicum to students due to COVID-19 pandemic. In order to ensure clinical competencies of nursing students before their graduation, academics have been exploring strategies to overcome the challenges by enhancing flexibility in the learning processes. Simulation, as a kind of educational technology, with computerized software programmes can replicate real clinical situations in a non-threatening environment for training. It has been supported to enhance nursing students’ clinical competencies. This paper illustrates the development of simulation training curriculum based on the ADDIE model. It was supported that the application of ADDIE model in the instruction development resulted in meeting the learning needs of students and allowed flexibility of learning processes during the pandemic.
The pre-registration nursing training programmes were facing practical difficulties in arranging clinical practicum to students due to COVID-19 pandemic. In order to ensure clinical competencies of nursing students before their graduation, academics have been exploring strategies to overcome the challenges by enhancing flexibility in the learning processes. The use of educational technology such as simulation, student response system (SRS), flipped classroom, mobile apps has been suggested to enhance students’ motivation, readiness, and engagement in learning 1, 2, 3, 4, 5. Academics have been gaining evidence to inform decisions about what media or designs of technologies should be used in order to enhance knowledge and skill acquisition at the competent level in higher education 6. The Association for Educational Communications and Technology (AECT), the leading organization on developing a wide range of instructional and educational technology, endorsed the current definition for the field of educational technology. The current description indicates:
Educational technology is the study and ethical practice of facilitating learning and improving performance by creating, using, and managing appropriate technological processeses and resources 7.
The term educational technology has evolved over the years to respond to society's changes, including technologies for knowledge organisation, multiple domains of theories, and instructional technology practices 8. The broadened definition requires the necessity of linking teaching and learning strategy (instructions) to plan and maximise the affordances of education technologies for learning, especially for training healthcare professionals’ clinical competence. There is no single method that can work well under all learning environments in the learning processes. The scope of teaching practices should be made merely to guide the development and the use of educational technologies which impacts much on resources and the quality of professional competence 9, 10. Therefore, it prompts us to embrace alternative modes, such as simulation, to deliver clinical training to safeguard nursing graduates' standard by completing the minimum number of clinical training hours required by the governing registration body. The use of simulation as a learning activity has been gaining attention in the academic field 11. The high-fidelity simulators with computerized software programmes can replicate real clinical situations in a non-threatening environment for training. The use of high-fidelity simulators has been successfully enhancing students' competence in caring for patients with severe or critical changes of vital signs in medical and surgical nursing 12, 13.
The paper aims to describe how an alternative simulation training curriculum was developed based on the ADDIE Model in order to enhance flexibility in the learning processes to overcome the challenges of clinical practicum suspension. Such experiences can inform future clinical teaching on the regular use of simulation training to ensure nursing students’ clinical competencies.
The ADDIE model is an instructional design model that systematically direct the design of effective support tools 14, 15, 16. It has been widely adopted to develop curriculum in fields such as library instruction, healthcare, and online education 16, 17, 18. The ADDIE model comprises of five phases including analysis, design, development, implementation and evaluation. All the phases are iterative and cyclical in nature 16. The ADDIE model ensures that the alternative modes adopted are more effective, efficient, and relevant to the registration governing body's requirement 19.
The details on how the ADDIE model was adopted for the design of simulation training curriculum are illustrated as follows.
2.1. AnalysisThe analysis phase is the base of all other phases of the ADDIE model. This phase prompts to identify the instructional problems and objectives 16. The questions such as learners characters, desired behavior, urgent needs (i.e. physical, psycho-social perspectives), and pedagogical consideration were analysed. The target learners of the simulation training were nursing students who were affected by the pandemic and considered one of the at risk groups for adverse physic-psycho-social impacts caused by several elements: perceived high-risk of exposure to COVID-19, inadequate personal protective equipment, fears of being infected or infecting their loves ones, uncontrollable exposure to social media on the rise of misinformation 20, 21. Thus, there was an urgent need to substitute the clinical practicum with a flexible learning processes. The development of the simulation training curriculum should ensure the students’ clinical competencies were met prior to their graduation. At the same time, all the training should meet the professional registration body’s requirement.
2.2. DesignThe design phase develops the blueprint of training based on the information collected in the analysis phase. The design step serves to choose the optimal instruction to be adopted and ensure the objectives were addressed 16. In this phase, the plan, case scenarios, materials, or assessment methods were designed to assure that the curriculum aligned with the learning objectives. For instance, the clinical field coordinator listed the possible instructional approaches, materials and technological tools that best fit the objectives. The main output from the design phase was a prototype of a simulation training plan. It included descriptions of overall logistics, the group size of the learners, roles and responsibilities of learners and instructors, descriptions of activities, the time required to complete the activities, list of necessary technology such as simulation scenario-computerized-programming and evaluation of components.
2.3. DevelopmentThe development phase denotes creating the alternative modes of the plan generated from the design step. The clinical field coordinator assembled learning resources and technology tools and integrated these supporting resources and tools into instructional activities (i.e., scenario-based virtual and face-to-face training) aligning with learning objectives. Training materials such as instructor guides, student guides, pre-briefing clues, debriefing clues, contents of the training, observer checklist, checklist for documenting students’ clinical performance were developed (refer to Table 1 and Table 2 for samples of pre-briefing clues and debriefing clues). All the training plan components were formulated in preparation with detailed supports for instructors to implement in the next phase.
The implementation phase aims to deliver the instruction 16. The simulation training as alternative mode for clinical practicum was implemented. Nursing students were assigned into groups and attended the simulation training in a face-to-face mode. An instructor’s role is responsible for briefing (also known as pre-briefing) in order to promote learner’s preparation and immersion in the simulation training to enhance clinical competencies. The instructors facilitated learners to solve the unfolding scenario in pre-briefing sessions before the simulation training. The next step would be the practice of simulation scenarios and then the debriefing sessions. After all, it proceeded to the final step of the ADDIE Model, the evaluation phase.
2.5. EvaluationThe evaluation phase aims to measure whether the simulation training has achieved its intended learning objectives. The evaluation included both formative and summative feedbacks. Formative feedback from instructors and students were collected throughout the simulation training as to allow incremental improvement and determine the direction of the training 16, 17. After the completion of the simulation, the instructors and students were surveyed to evaluate the effectiveness of the simulation training.
The clinical practicum suspension is a universal issue affecting healthcare education during the pandemic. This paper adopted the ADDIE model to inform the development of simulation training curriculum as to immediately respond to the rapidly challenging situations. During the processes, several limiting factors in terms of resources (budgeting, venue, faculty training, and students’ needs) were also identified. These limiting factors should be addressed when similar training is going to be conducted in the future.
Budgeting. In order to conduct high-fidelity simulation training for a large number of students during the pandemic, special approval on an extra budget is required for the additional ad hoc training sessions for purchasing related equipment. In the future, different budgeting should be prepared for any contingency purposes.
Venue. The available venue with adequate space is vital to provide safe training with adequate social distancing measures. Due to the large number of students who were required to attend the simulation training, we had reserved the simulation laboratory across three weeks period for conducting the training. In the future, we should schedule designated weeks for simulation training by compromising the teaching schedules of theoretical courses in order to ensure adequate training venue is available.
Workforce and Faculty Training. It was anticipated that a workforce of 20 nursing faculties assembled in three weeks could deliver face-to-face simulation training to a group of 500 nursing students. Each student was entitled to attend two days training that contributed to ten hours of simulation training hours. It was fortunate to have available instructors to conduct the simulation training because they were free from clinical teaching during clinical practicum suspension in various healthcare facilities. A six-hour training workshop on simulation and educational technologies in teaching strategies has been provided to equip these 20 instructors. It is vital to include training workshops as part of the orientation programme for all newly joined faculties in order to equip all faculties to be ready for conducting simulation training.
Students’ Needs. Nursing students were not ready to attend the face-to-face simulation training during the pandemic rather than the synchronous virtual training. Therefore, briefing sessions related to the alternative modes of training should be tailor-made to ease their stress and concerns. This allows enhancing students’ motivation, readiness, and immersion in the training.
To conclude, the ADDIE Model provides a systematic means for the instructors to design the simulation training curriculum. With the use of educational technology, such as simulation, it can ensure nursing students’ competencies by enhancing flexibility in the learning processes.
The work described in this paper was fully supported by a grant from the Katie Shu Sui Pui Charitable Trust –Research and Publication Fund (KS 2018/1.1).
[1] | Li, K. C., Lee, L. Y. K., Wong, S. L., Yau, I. S. Y., Wong, B. T. M.: Mobile learning in nursing education: Catering for students and teachers’ needs. Asian Association of Open Universities Journal 12(2), 171-183 (2017). | ||
In article | View Article | ||
[2] | Li, K. C., Lee, L. Y. K., Wong, S. L., Yau, I. S. Y., Wong, B. T. M.: Effects of mobile apps for nursing students: learning motivation, social interaction and study performance. Open Learning: The Journal of Open, Distance and e-Learning 33(2), 99-114 (2018). | ||
In article | View Article | ||
[3] | Wong, S. L., Yau, S. Y., Yip, S. H.: The impact of student response system (SRS) in enhancing nursing students’ engagement in a lecture-based environment: A mixed-method study. In the EDULEARN19-11th International Conference on Education and New Learning Technologies, pp. 1138-1143. International Academy of Technology, Education and Development, Palma, Mallorca, Spain (2019). | ||
In article | View Article | ||
[4] | Yau, S. Y.: Encouraging Participation of Flipped Classroom for Students: A Systematic Review. Proceedings of the ACP 2018, pp.38. Kobe: The International Academic Forum (IAFOR) (2018). | ||
In article | |||
[5] | Yau, S. Y., & Wong, S. L.: How effective is the student response system (SRS) in facilitating student’s learning. Proceedings of the 17th International Conference E-society 2019, pp. 313-314. International Association for Development of the Information Society, Utrecht, the Netherlands (2019). | ||
In article | |||
[6] | Fullan, M., Langworthy, M.: A rich seam: How new pedagogies find deep learning. Pearson, California (2014). | ||
In article | |||
[7] | Januszewski, A., Molenda, M.: Educational technology: A definition with commentary, pp. 2. Routledge, New York (2008). | ||
In article | |||
[8] | Luppicini, R.: A systems definition of educational technology in society. Journal of Educational Technology & Society 8(3), 103-109 (2005). https://www.jstor.org/stable/jeductechsoci.8.3.103. | ||
In article | |||
[9] | Kirschner, P. A., Kester, L.: Towards a research agenda for educational technology research. In: Rushby, N., Surry, D. W. (eds.) The Wiley Handbook of Learning Technology, pp. 523-541. John Wiley & Sons, Incorporated, New York (2016). | ||
In article | View Article | ||
[10] | Wong, S. L., et al.: An emerged agenda to intensify research strategies of simulation in healthcare of Hong Kong. BMJ Simulation & Technology Enhanced Learning 4, suppl., 2, A59 (2018). | ||
In article | View Article | ||
[11] | Damewood, A. M.: Current trends in higher education technology: Simulation. TechTrends 60, 268-271 (2016). | ||
In article | View Article | ||
[12] | Mill, J. et al.: Putting it together: Unfolding case studies and high-fidelity simulation in the first year of an undergraduate nursing curriculum. Nurse Education in Practice 14, 12-17 (2014). | ||
In article | View Article PubMed | ||
[13] | Shelton, C., Huda, T., Lee, A.: The role of clinical simulation in preparing for a pandemic. British Journal of Anaesthesia (2021). | ||
In article | View Article PubMed | ||
[14] | Morrison, G. R., Ross, S. J., Morrison, J. R., Kalman, H. K.: Designing effective Instruction. 8th edn. Wiley, Hoboken, New Jersey. (2019). | ||
In article | |||
[15] | Nadiyah, R. S., Faaizah, S.: The development of online project based collaboration learning using ADDIE model. Social and Behavioral Sciences 195, 1803-1812 (2015). | ||
In article | View Article | ||
[16] | Reinbold, S.: Using the ADDIE model in designing library instruction. Medical Reference Services Quarterly 32(3), 244-256 (2013). | ||
In article | View Article PubMed | ||
[17] | Cheung, L.: Using the ADDIE model of instructional design to teach chest radiograph interpretation. Journal of Biomedical Education 2016, 1-6 (2016). | ||
In article | View Article | ||
[18] | Hsu, T.C., Lee-Hsieh, Turton, M. A., Cheng, S.F.: “Using the ADDIE model to develop online continuing education courses on caring for nurses in Taiwan,” Journal of Continuing Education in nursing 45(3), 124-131 (2014). | ||
In article | View Article PubMed | ||
[19] | Yeh, H.C., Tseng S.S.: Using the ADDIE Model to nurture the development of teachers’ CALL professional knowledge. Educational Technology & Society 22(3), 88 -100 (2019). | ||
In article | |||
[20] | Kaye, A. D., et al.: Economic impact of COVID-19 pandemic on healthcare facilities and systems: International perspectives. Best Practice & Research Clinical Anasethesiology, (In Press) (2020, in press). | ||
In article | View Article PubMed | ||
[21] | Saraswathi, I., Saikarthik J, Senthil Kumar K, Madhan Srinivasan K, Ardhanaari M, Gunapriya R.: Impact of COVID-19 outbreak on the mental health status of undergraduate medical students in a COVID-19 treating medical college: a prospective longitudinal study. Peer J. 8, e10164 (2020). | ||
In article | View Article PubMed | ||
Published with license by Science and Education Publishing, Copyright © 2021 Suet-lai Wong, Ivy Sui-yu Yau and Crystal Hiu-wai Chan
This work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/
[1] | Li, K. C., Lee, L. Y. K., Wong, S. L., Yau, I. S. Y., Wong, B. T. M.: Mobile learning in nursing education: Catering for students and teachers’ needs. Asian Association of Open Universities Journal 12(2), 171-183 (2017). | ||
In article | View Article | ||
[2] | Li, K. C., Lee, L. Y. K., Wong, S. L., Yau, I. S. Y., Wong, B. T. M.: Effects of mobile apps for nursing students: learning motivation, social interaction and study performance. Open Learning: The Journal of Open, Distance and e-Learning 33(2), 99-114 (2018). | ||
In article | View Article | ||
[3] | Wong, S. L., Yau, S. Y., Yip, S. H.: The impact of student response system (SRS) in enhancing nursing students’ engagement in a lecture-based environment: A mixed-method study. In the EDULEARN19-11th International Conference on Education and New Learning Technologies, pp. 1138-1143. International Academy of Technology, Education and Development, Palma, Mallorca, Spain (2019). | ||
In article | View Article | ||
[4] | Yau, S. Y.: Encouraging Participation of Flipped Classroom for Students: A Systematic Review. Proceedings of the ACP 2018, pp.38. Kobe: The International Academic Forum (IAFOR) (2018). | ||
In article | |||
[5] | Yau, S. Y., & Wong, S. L.: How effective is the student response system (SRS) in facilitating student’s learning. Proceedings of the 17th International Conference E-society 2019, pp. 313-314. International Association for Development of the Information Society, Utrecht, the Netherlands (2019). | ||
In article | |||
[6] | Fullan, M., Langworthy, M.: A rich seam: How new pedagogies find deep learning. Pearson, California (2014). | ||
In article | |||
[7] | Januszewski, A., Molenda, M.: Educational technology: A definition with commentary, pp. 2. Routledge, New York (2008). | ||
In article | |||
[8] | Luppicini, R.: A systems definition of educational technology in society. Journal of Educational Technology & Society 8(3), 103-109 (2005). https://www.jstor.org/stable/jeductechsoci.8.3.103. | ||
In article | |||
[9] | Kirschner, P. A., Kester, L.: Towards a research agenda for educational technology research. In: Rushby, N., Surry, D. W. (eds.) The Wiley Handbook of Learning Technology, pp. 523-541. John Wiley & Sons, Incorporated, New York (2016). | ||
In article | View Article | ||
[10] | Wong, S. L., et al.: An emerged agenda to intensify research strategies of simulation in healthcare of Hong Kong. BMJ Simulation & Technology Enhanced Learning 4, suppl., 2, A59 (2018). | ||
In article | View Article | ||
[11] | Damewood, A. M.: Current trends in higher education technology: Simulation. TechTrends 60, 268-271 (2016). | ||
In article | View Article | ||
[12] | Mill, J. et al.: Putting it together: Unfolding case studies and high-fidelity simulation in the first year of an undergraduate nursing curriculum. Nurse Education in Practice 14, 12-17 (2014). | ||
In article | View Article PubMed | ||
[13] | Shelton, C., Huda, T., Lee, A.: The role of clinical simulation in preparing for a pandemic. British Journal of Anaesthesia (2021). | ||
In article | View Article PubMed | ||
[14] | Morrison, G. R., Ross, S. J., Morrison, J. R., Kalman, H. K.: Designing effective Instruction. 8th edn. Wiley, Hoboken, New Jersey. (2019). | ||
In article | |||
[15] | Nadiyah, R. S., Faaizah, S.: The development of online project based collaboration learning using ADDIE model. Social and Behavioral Sciences 195, 1803-1812 (2015). | ||
In article | View Article | ||
[16] | Reinbold, S.: Using the ADDIE model in designing library instruction. Medical Reference Services Quarterly 32(3), 244-256 (2013). | ||
In article | View Article PubMed | ||
[17] | Cheung, L.: Using the ADDIE model of instructional design to teach chest radiograph interpretation. Journal of Biomedical Education 2016, 1-6 (2016). | ||
In article | View Article | ||
[18] | Hsu, T.C., Lee-Hsieh, Turton, M. A., Cheng, S.F.: “Using the ADDIE model to develop online continuing education courses on caring for nurses in Taiwan,” Journal of Continuing Education in nursing 45(3), 124-131 (2014). | ||
In article | View Article PubMed | ||
[19] | Yeh, H.C., Tseng S.S.: Using the ADDIE Model to nurture the development of teachers’ CALL professional knowledge. Educational Technology & Society 22(3), 88 -100 (2019). | ||
In article | |||
[20] | Kaye, A. D., et al.: Economic impact of COVID-19 pandemic on healthcare facilities and systems: International perspectives. Best Practice & Research Clinical Anasethesiology, (In Press) (2020, in press). | ||
In article | View Article PubMed | ||
[21] | Saraswathi, I., Saikarthik J, Senthil Kumar K, Madhan Srinivasan K, Ardhanaari M, Gunapriya R.: Impact of COVID-19 outbreak on the mental health status of undergraduate medical students in a COVID-19 treating medical college: a prospective longitudinal study. Peer J. 8, e10164 (2020). | ||
In article | View Article PubMed | ||