Effectiveness of Social Participation Courses Applied in the Disaster Prevention for Taiwanese K-12 Education
Abstract
:1. Introduction
2. Literature Review
2.1. Social Participation Courses
2.2. Disaster Prevention Literacy and Disaster Prevention Course Design
2.3. Perceived Usefulness
2.4. Team Interaction
2.5. Experiential Value
2.6. Achievement and Feedback
3. Methodology
3.1. Research Structure
3.2. Research Hypotheses
3.3. Participates
3.4. Research Tools and Measurement of Variables
3.5. Data Processing
3.6. Statistical Methods
3.6.1. Exploratory Factor Analysis
3.6.2. Validity Analysis
3.6.3. Reliability Analysis
3.6.4. Statistical Analysis Methods of Mediation Mechanism
4. Results
4.1. Research Hypothesis Empirical Results
4.2. Correlation and Descriptive Statistical Analysis
4.3. Reliability and Validity Test
5. Discussion
5.1. Parameter Estimation of Mediation Effect Model
5.2. Test of Effects of Mediation Mechanism
6. Limitations and Future Recommendations
7. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Global Change Data Lab. Global Natural Disaster Death Rates, All natural Disasters, 1900 to 2019. Available online: https://ourworldindata.org/grapher/natural-disaster-death-rates (accessed on 10 March 2022).
- Gates, B. How to Avoid a Climate Disaster: The Solutions We Have and the Breakthroughs We Need; Random House Large Print: New York, NY, USA, 2021. [Google Scholar]
- UN. The Sustainable Development Goals Report 2019; UN: New York, NY, USA, 2019. [Google Scholar]
- OECD. Costs of Inaction of Environmental Policy Challenges; Report ENV/EPOC(2007)17/REV2; OECD: Washington DC, USA, 2008. [Google Scholar]
- Escaleras, M.; Anbarci, N. Register Public sector corruption and major earthquakes: A potentially deadly interaction. Public Choice 2007, 132, 209–230. [Google Scholar] [CrossRef]
- Daniell, J.; Vervaeck, A. Damaging Earthquake Database 2011—The Year in Review, CATDAT-Integrated Historical Global Catastrophe Database. 2011. Available online: https://www.cedim.kit.edu/download/CATDATDamagingEarthquakesDatabase2011AnnualReview.pdf (accessed on 20 May 2022).
- Baytiyeh, H.; Öcal, A. High school students’ perceptions of earthquake disaster: A comparative study of Lebanon and Turkey. Int. J. Disaster Risk Reduct. 2016, 18, 56–63. [Google Scholar] [CrossRef]
- Ogunleye, A.; Kehinde, A.; Mishra, A.; Ogundeji, A. Impacts of Farmers’ Participation in Social Capital Networks on Climate Change Adaptation Strategies Adoption in Nigeria. Heliyon 2021, 7, e08624. [Google Scholar] [CrossRef] [PubMed]
- Shih, S.W. Leaving no trace on the water? Reflections on the practice of participatory budgeting in Taichung city. J. New Prax. 2022, 2, 129–175. [Google Scholar]
- Liu, R.L.; Tsai, H.C. Action research to enrich learning from conflict to collaboration: Bridging the first-year students and the NGOs agencies in service learning program. Syst. Pract. Action Res. 2020, 33, 295–309. [Google Scholar] [CrossRef]
- Gardner, J.N. What, so what, now what: Reflections, findings, conclusions, and recommendations on service-learning and the first-year experience. In Service-Learning and the First Year Experience: Preparing Students for Personal Success and Civic Responsibility (Monograph No. 34); Zlotkowski, E., Ed.; University of South Carolina, National Resource Center for the First-Year Experience and Students in Transition: Columbia, SC, USA, 2002; pp. 141–150. [Google Scholar]
- Astin, A.W.; Sax, L.J. How undergraduates are affected by service participation. J. Coll. Stud. Dev. 1998, 39, 251–263. [Google Scholar]
- Bringle, R.G.; Hatcher, J.A.; Muthiah, R.N. The role of service-learning on the retention of first-year students to second year. Mich. J. Commun. Serv. Learn. 2010, 16, 38–49. [Google Scholar]
- Zlotkowski, E. Service-learning and the first-year student. In Challenging and Supporting the First-Year Student: A Handbook for Improving the First Year of College; Upcraft, M.L., Gardner, J.N., Barefoot, B.O., Eds.; Jossey-Bass: San Francisco, CA, USA, 2005; pp. 356–370. [Google Scholar]
- Cress, C.M.; Collier, P.J.; Reitenauer, V.L. Learning through Serving: A Student Guidebook for Service-Learning across the Disciplines; Stylus Publishing, LLC.: Sterling, VA, USA, 2005. [Google Scholar]
- Geroge-Paschal, L.; Hawkins, A.; Graybeal, L. Investigating the overlapping experience and impacts of service-learning: Juxtaposing perspectives of students, faculty, and community partners. Mich. J. Community Serv. Learn. 2019, 25, 43–61. [Google Scholar]
- Bringle, R.G.; Hatcher, J.A. A service-learning curriculum for faculty. Mich. J. Community Serv. Learn. 1995, 2, 112–122. [Google Scholar]
- Eyler, J. Creating your reflection map. In Developing and Implementing Service-Learning Programs; Canada, M., Speck, B.W., Eds.; Jossey-Bass: San Francisco, CA, USA, 2001; pp. 35–44. [Google Scholar]
- Wade, R.C. (Ed.) Community Service Learning: A Guide to Including Service in the Public School Curriculum; State University of New York Press: Albany, NY, USA, 1997; pp. 94–112. [Google Scholar]
- Cho, H.; Wong, Z.E.; Chiu, W. The effect of volunteer management on intention to continue volunteering: A mediating role of job satisfaction of volunteers. Sage Open 2020, 10, 2158244020920588. [Google Scholar] [CrossRef]
- Ocal, A.; Altınok, A. Developing social sensitivity with service-learning. Soc. Indic. Res. 2016, 129, 61–75. [Google Scholar] [CrossRef]
- Wozencroft, A.J.; Hardin, R. Students’ job satisfaction in a therapeutic recreation service learning project. J. Hosp. Leis. Sport Tour. Educ. 2014, 15, 103–115. [Google Scholar] [CrossRef]
- Cheng, T.M.; Hou, H.Y.; Agrawal, D.C.; Chi, C.J. A hierarchical linear model of alumni survey on individual competency, institutional service, and job satisfaction in a case university in taiwan. J. Inst. Res. South East Asia 2021, 19, 81–100. [Google Scholar]
- Huang, Y. Learning from Service-Cross-Domain Service Learning Theory and Practice; Hong Ye: Taipei, China, 2007. [Google Scholar]
- Jacoby, B. Building Partnership for Service-Learning; Jossey-Bass: San Francisco, CA, USA, 2009. [Google Scholar]
- Su, Y.R.; Chen, Y.F.; Lin, M.Z. A retrospective preliminary study on the operation and action reflection of university social practice courses. New Pract. Local Soc. 2019, 159–191. Available online: https://www.hisp.ntu.edu.tw/report_news?id=61 (accessed on 20 May 2022).
- Hsu, M.L.; Juang, W.J. Study of Campus Journalist’s Utilization of Citizen Media and Civic Participation Practice: With PeoPo Citizen Journalism Platform as Example. J. Democr. Gov. 2019, 6, 1–31. [Google Scholar]
- Aldrich, D.P. Fixing Recovery: Social Capital in Post-Crisis Resilience. J. Homel. Secur. Forthcom. 2010. Available online: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=1599632 (accessed on 20 April 2022).
- Prasad, S.; Su, H.C.; Altay, N.; Tata, J. Building disaster-resilient micro enterprises in the developing world. Disasters 2015, 39, 447–466. [Google Scholar] [CrossRef] [Green Version]
- Kehinde, A.D.; Adeyemo, R.; Ogundeji, A.A. Does social capital improve farm productivity and food security? Evidence from cocoa-based farming households in Southwestern Nigeria. Heliyon 2021, 7, e06592. [Google Scholar] [CrossRef]
- Chung, S.C.; Yen, C.J. Disaster prevention literacy among school administrators and teachers: A study on the plan for disaster prevention and campus network deployment and experiment in Taiwan. J. Life Sci. 2016, 10, 203–214. [Google Scholar]
- Felder, R.M.; Silverman, L.K. Learning and teaching styles in engineering education. J. Eng. Educ. 1988, 78, 674–681. [Google Scholar]
- Wang, J.J. Study on the context of school-based disaster management. Int. J. Disaster Risk Reduct. 2016, 19, 224–234. [Google Scholar] [CrossRef]
- Zhang, D.; Zhu, X.; Zhou, Z.; Xu, X.; Ji, X.; Gong, A. Research on disaster literacy and affecting factors of college students in central China. Disaster Med. Public Health Prep. 2021, 15, 216–222. [Google Scholar] [CrossRef] [PubMed]
- Tan, Y.; Liao, X.; Su, H.; Li, C.; Xiang, J.; Dong, Z. Disaster preparedness among university students in Guangzhou, China: Assessment of status and demand for disaster education. Disaster Med. Public Health Prep. 2017, 11, 310–317. [Google Scholar] [CrossRef] [PubMed]
- Dong, X.M.; Chen, X.F.; Wang, S.Y.; Li, F.; Tu, Z.F.; Li, H.; Lin, J.M.; Lin, M.Y.; Yang, H.; Bi, Y. A survey of college students’ cognition and adaptability to sudden disasters. Chin. J. Public Health 2006, 22, 660–661. [Google Scholar]
- Baytiyeh, H.; Naja, M.K. Are colleges in Lebanon preparing students for future earthquake disasters? Int. J. Disaster Risk Reduct. 2015, 14, 519–526. [Google Scholar] [CrossRef]
- Su, Y.; Wu, G.F.; Zhu, L.; Chen, Q. Survey on Hazard Cognition of University Students in Beijing and Suggestion on Disaster Risk Reduction Education. Disaster Sci. 2007, 22, 100–104. [Google Scholar]
- Baytiyeh, H. Developing effective earthquake risk reduction strategies: The potential role of academic institutions in Lebanon Prospect. Q. Rev. Comp. Educ. 2015, 45, 245–258. [Google Scholar] [CrossRef]
- Rezaee, R.; Peyravi, M.; Marzaleh, M.A.; Khorram-Manesh, A. Needs assessment for standardized educational program for Iranian Medical Students in crisis and disaster management. J. Adv. Med. Educ. Prof. 2019, 7, 95. [Google Scholar]
- Çalışkan, C.; Üner, S. Disaster literacy and public health: A systematic review and integration of definitions and models. Disaster Med. Public Health Prep. 2021, 15, 518–527. [Google Scholar] [CrossRef]
- Davis, F.D.; Bagozzi, R.P.; Warshaw, P.R. User acceptance of computer technology: A comparison of two theoretical models. Manag. Sci. 1989, 35, 982–1003. [Google Scholar] [CrossRef] [Green Version]
- Davis, F.D. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 1989, 13, 319–339. [Google Scholar] [CrossRef] [Green Version]
- Ajzen, I. The theory of planned behavior. Organ. Behav. Hum. Decis. Processes 1991, 50, 179–211. [Google Scholar] [CrossRef]
- Raaij, E.M.V.; Schepers, J.J.L. The acceptance and use of a virtual learning environment in China. Comput. Educ. 2008, 50, 838–852. [Google Scholar] [CrossRef]
- Chai, K.W.; Ou, W.M.; Huang, P.C.; Lin, M.H.; Chen, T.H.; Huang, T.S.; Teng, F.C. The influence of Shopee application users’ perceived usefulness on use attitude: The moderating effects of mobile shopping system quality. Manag. Inf. Comput. 2021, 10, 1–10. [Google Scholar]
- Lee, H.N.; Cheng, Y.F.; Chang, C.H.S.; Wu, J.G. Study on Attitude toward Mobile Devices in Students with Visual Impairments: Perceived Usefulness and Perceived Ease of Use as Mediating Variables. Bull. Educ. Psychol. 2018, 50, 107–129. [Google Scholar]
- Wang, S.C. The Research on the Customer’s Perceptual Value, Experience Value, Perceived Ease of Use, and Perceived Usefulness on the Satisfaction of Tourist Factory: The Use of Interactive Media as a Moderator. Master’s Thesis, Fu Jen Catholic University, New Taipei City, Taiwan, 2021. Available online: https://hdl.handle.net/11296/xhu5yd (accessed on 20 May 2022).
- Rocca, K.A. Student participation in the college classroom: An extended multidisciplinary literature review. Commun. Educ. 2010, 59, 185–213. [Google Scholar] [CrossRef]
- Fredricks, J.A.; Blumenfeld, P.C.; Paris, A.H. School engagement: Potential of the concept, state of the evidence. Rev. Educ. Res. 2004, 74, 59–109. [Google Scholar] [CrossRef] [Green Version]
- Madison, W. Student Engagement and Achievement in American Secondary Schools; Newmann, F.M., Ed.; National Center on Effective Secondary Schools, Teachers College Press: New York, NY, USA, 1992. [Google Scholar]
- Skinner, E.A.; Belmont, M.J. Motivation in the classroom: Reciprocal effects of teacher behavior and student engagement across the school year. J. Educ. Psychol. 1993, 85, 571. [Google Scholar] [CrossRef]
- Fritschner, L.M. Inside the undergraduate college classroom: Faculty and students differ on the meaning of student participation. J. High. Educ. 2000, 71, 342–362. [Google Scholar] [CrossRef]
- Talat, A.; Riaz, Z. An integrated model of team resilience: Exploring the roles of team sensemaking, team bricolage and task interdependence. Pers. Rev. 2020, 49, 2007–2033. [Google Scholar] [CrossRef]
- Chen, H.F.; Liang, H.W. Team Interaction, Resource Boundary, and Bricolage Behavior: Team Creativity in Escape Room Game. J. Hum. Resour. Manag. 2021, 21, 83–113. [Google Scholar]
- Jones, G.; George, J. The experience and evolution of trust: Implications for cooperation and teamwork. Acad. Manag. Rev. 1998, 23, 531–546. [Google Scholar] [CrossRef] [Green Version]
- Chang, T.M.; Lin, M.J.; Su, S.P. Exploring the Relationship among Team Interaction, Team Commitment and Team Performance—Based on Participating Clubs’ Service-Learning in Summer Camps for University Students. J. Recreat. Sport Health Promot. 2019, 16, 1–22. [Google Scholar]
- Zeithaml, V.A. Consumer perceptions of price, quality, and value: A means-end model and synthesis of evidence. J. Mark. 1988, 52, 2–22. [Google Scholar] [CrossRef]
- Dewey, J. Experience and Mature; Dover publications: New York, NY, USA, 1958. [Google Scholar]
- Sheth, J.N.; Newman, B.I.; Gross, B.L. Why we buy what we buy: A theory of consumption values. J. Bus. Res. 1991, 22, 159–170. [Google Scholar] [CrossRef]
- Schmitt, B.H. Experiential Marketing: How to Get Customers to Sense, Feel, Think, Act and Relate to Your Company and Brand; The Free Press: New York, NY, USA, 1999. [Google Scholar]
- Chen, N.C.; Ma, C.P.; Wu, T.Y. The Experience Value, Satisfaction, and Happiness of Tourists. Sport Recreat. Rev. 2022, 10, 79–91. [Google Scholar]
- Chen, C.A.; Yang, P.H.; Chiang, Y.J. A Study of the Relationship between the Visitors’ Experience Value and Satisfaction—A Case of Ban Tou Community in Chiayi County. Sustain. Community-Based Tour. Stud. 2021, 5, 1–10. [Google Scholar]
- Throsby, C.D. Economics and Culture; Cambridge University Press: New York, NY, USA, 2001. [Google Scholar]
- Mathwick, C.; Malhotra, N.; Rigdon, E. Experiential value: Conceptualization, measurement and application in the catalog and internet shopping environment. J. Retail. 2001, 77, 39–56. [Google Scholar] [CrossRef]
- Rink, J.E. Teaching Physical Education for Learning, 3rd ed.; McGraw-Hill: Boston, MA, USA, 1989. [Google Scholar]
- Magill, R.A. Motor Learning: Concepts and Applications, 4th ed.; Brown & Benchmark: Dubuque, IA, USA, 1989. [Google Scholar]
- Johnson, D.W.; Johnson, R.T. Cooperative learning and feedback in technology-based instruction. In Interactive Instruction and Feedback; Dempsey, J., Sales, G.C., Eds.; Educational Technology Publications: Englewood Cliffs, NJ, USA, 1993. [Google Scholar]
- Slavin, R.E.; Madden, N.A. Summary of research on success for all and roots and wings. In Success for All: Research and Reform in Elementary Education; Slavin, R.E., Madden, N.A., Eds.; Lawrence Erlbaum Associates: Mahwah, NJ, USA, 2001; pp. 12–48. [Google Scholar]
- National Fire Agency. Statistical Table of Natural Disaster Losses in Taiwan. 2021. Available online: https://www.nfa.gov.tw/cht/index.php?code=list&flag=detail&ids=233&article_id=9639 (accessed on 10 March 2022).
- Comrey, A.L. Factor analytic methods of scale development in personality and clinical psychology. J. Consult. Clin. Psychol. 1988, 56, 754–761. [Google Scholar] [CrossRef]
- Ministry of Education. Statistics of Colleges and Universities. 2022. Available online: https://depart.moe.edu.tw/ED4500/cp.aspx?n=1AC243AF6EF5E5DD&s=EDC4A4E717ED32CF (accessed on 10 March 2022).
- Chang, S.S. Research Methods: Social Science and Biomedical Methodology; Wn-Nan Culture Enterprise: Taipei, Taiwan, 2020. [Google Scholar]
- Babbie, E.R. The Practice of Social Research, 15th ed.; Cengage: Boston, MA, USA, 2021. [Google Scholar]
- Likert, R.A. A technique for the measurement of attitudes. Arch. Psychol. 1932, 140, 55. [Google Scholar]
- Babbie, E.; Wagner, W.E.; Zaino, J. Adventures in Social Research: Data Analysis using IBM SPSS Statistics; Sage Publications: New York, NY, USA, 2022. [Google Scholar]
- Hayes, A.F. The PROCESS Macro for SPSS, SAS, and R (Version 3.5). 2022. Available online: http://www.processmacro.org/download.html (accessed on 31 January 2022).
- Gorsuch, R.L. Factor Analysis; Lawrence Erlbaum: Hillsdale, NJ, USA, 1983. [Google Scholar]
- Schreiber, J.B. Issues and recommendations for exploratory factor analysis and principal component analysis. Res. Soc. Adm. Pharm. 2021, 17, 1004–1011. [Google Scholar] [CrossRef] [PubMed]
- Watkins, M.W. A Step-by-Step Guide to Exploratory Factor Analysis with SPSS; Routledge: Oxfordshire, UK, 2021. [Google Scholar]
- Goretzko, D.; Pham, T.T.H.; Bühner, M. Exploratory factor analysis: Current use, methodological developments and recommendations for good practice. Curr. Psychol. 2021, 40, 3510–3521. [Google Scholar] [CrossRef]
- Podsakoff, P.M.; Organ, D.W. Self-reports in organizational research: Problems and prospects. J. Manag. 1986, 12, 531–544. [Google Scholar] [CrossRef]
- Podsakoff, P.M.; MacKenzie, S.B.; Lee, J.Y.; Podsakoff, N.P. Common Method Biases in Behavioral Research: A Critical Review of the Literature and Recommended Remedies. J. Appl. Psychol. 2003, 88, 879–903. [Google Scholar] [CrossRef]
- Cronbach, L.J. Coefficient alpha and the internal structure of tests. Psychometrika 1951, 16, 297–334. [Google Scholar] [CrossRef] [Green Version]
- Hair, J.F.; William, C.B.; Barry, J.B.; Rolph, E.A. Multivariate Data Analysis, 8th ed.; Prentice Hall: Englewood Cliffs, NJ, USA, 2022. [Google Scholar]
- Hayes, A.F. Introduction to Mediation, Moderation, and Conditional Process Analysis, 2nd ed.; The Guilford Press: New York, NY, USA, 2018. [Google Scholar]
- Soleman, A.B.; Jones, T.V. Statistical mediation analysis using the sobel test and hayes spss process macro. Int. J. Quant. Qual. Res. Methods 2021, 9, 42–61. Available online: https://ssrn.com/abstract=3799204 (accessed on 6 March 2021).
- Baron, R.M.; Kenny, D.A. The moderatormediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. J. Personal. Soc. Psychol. 1986, 51, 1173–1182. [Google Scholar] [CrossRef]
- Hayes, A.F.; Scharkow, M. The Relative Trustworthiness of Inferential Tests of the Indirect Effect in Statistical Mediation Analysis. Psychol. Sci. 2013, 24, 1918–1927. [Google Scholar] [CrossRef]
- Kaiser, H.F. An index of factorial simplicity. Psychometrika 1974, 39, 31–36. [Google Scholar] [CrossRef]
- Bartlett, M.S. The effect of standardization on a Chi-square approximation in factor analysis. Biometrika 1951, 38, 337–344. [Google Scholar]
- Stevens, J. Applied Multivariate Statistics for the Social Sciences, 2nd ed.; Lawrence Erlbaum: Hillsdale, NJ, USA, 1992. [Google Scholar]
- Anderson, J.; Gerbing, D. Structural equation modeling in practice: A review and recommended two-step approach. Psychol. Bull. 1988, 103, 411–423. [Google Scholar] [CrossRef]
- Nunnally, J.C.; Bernstein, I.H.; Berge, J.M.T. Psychometric Theory; McGraw-Hill: New York, NY, USA, 1967; Volume 226. [Google Scholar]
- Pekrun, R. The control-value theory of achievement emotions: Assumptions, corollaries, and implications for educational research and practice. Educ. Psychol. Rev. 2006, 18, 315–341. [Google Scholar] [CrossRef]
- Sommer, M.; Ritzhaupt, A. Impact of the flipped classroom on learner achievement and satisfaction in an undergraduate technology literacy course. J. Inf. Technol. Educ. Res. 2018, 17, 159–182. [Google Scholar] [CrossRef] [Green Version]
- Alamri, M.M. Students’ learning achievement performance and satisfaction in a flipped classroom in Saudi Arabia. Int. J. Technol. Enhanc. Learn. 2019, 11, 103–119. [Google Scholar] [CrossRef]
- Horton, E.R.; Belliveau, P. Pediatric pharmacotherapy in the PharmD curriculum: Course design and student self-assessment of learning outcomes achievement. Curr. Pharm. Teach. Learn. 2014, 6, 277–283. [Google Scholar] [CrossRef]
- Chuang, N.C. Service-Learning: Course Design and Student Learning Outcome in Oral Training Courses of Shilin High School of Commerce. Second. Educ. 2015, 66, 135–155. [Google Scholar]
- Huang, C.H.; Lu, P.C. The Relationships among the Recreation Attraction and Experiential Satisfaction of Leisure Fishpond: Taking Experiential Value as A Intervening Variables. NTU J. Phys. Educ. 2015, 28, 47–57. [Google Scholar]
- Chang, T.M. Exploring the Relationship among Team Leadership Styles, Team Interaction and Team Service Performance for Service-Learning Activity Camps of Student Clubs in Southern University. Kaohsiung Norm. Univ. J. 2020, 49, 31–58. [Google Scholar]
- Lin, L.Y.; Yang, C.Y. The Influence of Curriculum Design on Learning Effectiveness in the Master’s In-Service Program-Using Interactive Behavior and Social Support as Moderators. Tzu-Chi Univ. J. Educ. Res. 2021, 17, 167–205. [Google Scholar]
- Grønlien, H.K.; Christoffersen, T.E.; Ringstad, Ø.; Andreassen, M.; Lugo, R.G. A blended learning teaching strategy strengthens the nursing students’ performance and self-reported learning outcome achievement in an anatomy, physiology and biochemistry course–A quasi-experimental study. Nurse Educ. Pract. 2021, 52, 103046. [Google Scholar] [CrossRef]
- Silverman, D. Qualitative Research, 5th ed.; Sage: Los Angeles, CA, USA, 2020; Available online: https://reurl.cc/j1jQV2 (accessed on 31 May 2022).
- Hennink, M.; Hutter, I.; Bailey, A. Qualitative Research Methods, 2nd ed.; Sage: London, UK, 2020; Available online: https://reurl.cc/p1j9ba (accessed on 31 May 2022).
- Denzin, N.K.; Lincoln, Y.S. The Landscape of Qualitative Research, 2nd ed.; Sage: London, UK, 2012; Available online: https://reurl.cc/e34GNQ (accessed on 31 May 2022).
- Lieblich, A.; Tuval-Mashiach, R.; Zilber, T. Narrative Research: Reading, Analysis, and Interpretation; Sage: London, UK, 1998; Volume 47, Available online: https://reurl.cc/vdjplo (accessed on 31 May 2022).
- Riessman, C.K. Narrative Methods for the Human Sciences; Sage: Los Angeles, CA, USA, 2008; Available online: https://reurl.cc/GxR5zD (accessed on 31 May 2022).
- Charmaz, K. Constructing Grounded Theory, 2nd ed.; Sage: London, UK, 2014; Available online: https://reurl.cc/3olKDV (accessed on 31 May 2022).
- Strauss, A.; Corbin, J.M. Grounded Theory in Practice; Sage: London, UK, 1997; Available online: https://reurl.cc/DyQqvN (accessed on 31 May 2022).
- Thomas, G. How to Do Your Case Study; Sage: London, UK, 2021; Available online: https://reurl.cc/VD (accessed on 31 May 2022).
- Muijs, D. Doing Quantitative Research in Education: With SPSS; Sage: London, UK, 2004; Available online: https://methods.sagepub.com/book/doing-quantitative-research-in-education-with-spss-2e (accessed on 31 May 2022).
- Koskinen, J.; Snijders, T.A. Multilevel Longitudinal Analysis of Social Networks. 2022. Available online: https://arxiv.org/abs/2201.12713 (accessed on 31 May 2022).
- Khine, M.S. Hierarchical linear modeling and multilevel modeling in educational research. In Methodology for Multilevel Modeling in Educational Research; Springer: Singapore, 2022; pp. 3–8. [Google Scholar]
Research Hypothesis | p | Empirical Results |
---|---|---|
H0: “Disaster prevention course design” has a positive and significant overall effect on the “achievement and feedback” of general courses on disaster prevention education. | 0.000 | Established |
H1: “Disaster prevention course design” has a positive and significant direct effect on the “achievement and feedback” of general education courses on disaster prevention education. | 0.006 | Established |
H2: “Disaster prevention course design” has a positive and significant impact on the “perceived usefulness” of general courses on disaster prevention education. | 0.000 | Established |
H3: “Perceived usefulness” has a positive and significant impact on the “experiential value” of general courses on disaster prevention education. | 0.080 | Falsified |
H4: “Perceived usefulness” has a positive and significant impact on the “achievement and feedback” of general courses on disaster prevention education. | 0.274 | Falsified |
H5: “Disaster prevention course design” has a positive and significant impact on the “experiential value” of general courses on disaster prevention education. | 0.000 | Established |
H6: “Experiential value” has a positive and significant impact on the “achievement and feedback” of general courses on disaster prevention education. | 0.000 | Established |
H7: “Disaster prevention course design” has a positive and significant impact on the “team interaction” of general courses on disaster prevention education. | 0.000 | Established |
H8: “Team interaction” has a positive and significant impact on the “experiential value” of general courses on disaster prevention education. | 0.001 | Established |
H9: “Team interaction” has a positive and significant impact on the “achievement and feedback” of general courses on disaster prevention education. | 0.002 | Established |
Research Variable | M | SD | X | M1 | M2 | M3 | Y |
---|---|---|---|---|---|---|---|
X- Disaster prevention course design | 4.694 | 0.446 | 1 | ||||
M1- Perceived usefulness | 4.659 | 0.448 | 0.835 ** | 1 | |||
M2- Team interaction | 4.524 | 0.645 | 0.551 ** | 0.566 ** | 1 | ||
M3- Experiential value | 4.624 | 0.491 | 0.799 ** | 0.740 ** | 0.602 ** | 1 | |
Y- Achievement and feedback | 4.656 | 0.452 | 0.786 ** | 0.735 ** | 0.639 ** | 0.814 ** | 1 |
Dimension Item | Observation Variable | Item Analysis | Validity Analysis | Reliability Analysis | ||||
---|---|---|---|---|---|---|---|---|
CITC | α Value after Deletion of This Item | EIGENVALUE | Cumulative Variance Explained % | Factor Loadings | Cronbach’s α | |||
Disaster prevention course design (A) | A1 | Basic understanding | 0.878 | 0.932 | 4.907 | 21.335 | 0.641 | 0.948 |
A2 | Concept enhancement | 0.841 | 0.939 | 0.685 | ||||
A3 | Thought guidance | 0.878 | 0.932 | 0.623 | ||||
A4 | Disaster prevention experience | 0.848 | 0.938 | 0.824 | ||||
A5 | Awareness raising | 0.843 | 0.938 | 0.724 | ||||
Perceived usefulness (B) | B1 | Perceived diversity | 0.707 | 0.845 | 4.169 | 39.459 | 0.589 | 0.872 |
B2 | Perceived practicality | 0.695 | 0.848 | 0.686 | ||||
B3 | Perceived subservience | 0.755 | 0.825 | 0.561 | ||||
B4 | Perceived effectiveness | 0.757 | 0.826 | 0.754 | ||||
Team interaction (C) | C1 | Team cooperation | 0.889 | 0.961 | 4.130 | 57.417 | 0.885 | 0.966 |
C2 | Team concept | 0.900 | 0.959 | 0.833 | ||||
C3 | Team communication | 0.944 | 0.952 | 0.894 | ||||
C4 | Team achievement | 0.900 | 0.959 | 0.896 | ||||
C5 | Team feels | 0.888 | 0.961 | 0.833 | ||||
Experiential value (D) | D1 | Experiential value of functionality | 0.830 | 0.921 | 3.192 | 71.296 | 0.611 | 0.935 |
D2 | Experiential value of interactivity | 0.752 | 0.929 | 0.628 | ||||
D3 | Experiential value of inducement | 0.866 | 0.915 | 0.796 | ||||
D4 | Experiential value of emotionality | 0.863 | 0.915 | 0.763 | ||||
D5 | Experiential value of knowledge | 0.718 | 0.933 | 0.579 | ||||
D6 | Experiential value of feedback | 0.826 | 0.920 | 0.678 | ||||
Achievement and feedback (E) | E1 | Effective feedback | 0.779 | 0.810 | 2.692 | 82.998 | 0.608 | 0.876 |
E2 | Experiential feedback | 0.760 | 0.828 | 0.693 | ||||
E3 | Application feedback | 0.748 | 0.839 | 0.566 | ||||
Total scale | 0.966 |
Result Variable | M1 | M2 | M3 | Y | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Predictive Variable | Coefficient | t | p | Coefficient | t | p | Coefficient | t | p | Coefficient | t | p | ||||
Constant term | iM1 | 0.485 | 1.659 | 0.099 | iM2 | 0.746 | 2.565 | 0.011 | iM3 | 0.281 | 1.046 | 0.297 | iY | 0.075 | 0.354 | 0.724 |
X | a1 | 0.848 | 12.300 | 0.000 | a2 | 0.818 | 11.915 | 0.000 | a3 | 0.270 | 2.713 | 0.008 | c2′ | 0.295 | 3.656 | 0.000 |
M3 | b3 | 0.185 | 2.723 | 0.007 | ||||||||||||
M1 | b1 | 0.274 | 3.403 | 0.001 | d1 | 0.241 | 3.630 | 0.000 | ||||||||
M2 | b2 | 0.379 | 4.690 | 0.000 | d2 | 0.264 | 3.835 | 0.000 | ||||||||
Model summary | R2 = 0.523 | R2 = 0.507 | R2 = 0.621 | R2 = 0.745 | ||||||||||||
F(1,138) = 151.296 | p < 0.001 | F(1,138) = 141.969 | p < 0.001 | F(1,138) = 74.247 | p < 0.001 | F(4,135) = 98.484 | p < 0.001 |
Bootstrapping 95% Trust Interval | ||||||
---|---|---|---|---|---|---|
Category (Coefficient) | Effect Path | Effect Size | t | p | Lower Limit (LLCI) | Upper Limit (ULCI) |
Overall effect (c2) | X→Y | 0.796 | 14.031 | 0.000 | 0.684 | 0.909 |
Direct effect(c2′) | X→Y | 0.276 | 2.801 | 0.006 | 0.081 | 0.471 |
Aggregate indirect effect | X→Y | 0.520 | 0.242 | 0.782 | ||
Indirect Effect(a1 × d1) | X→M1→Y | 0.822 | −0.073 | 0.276 | ||
Indirect Effect(a2 × d2) | X→M2→Y | 0.103 | 0.001 | 0.223 | ||
Indirect Effect(a3 × b3) | X→M3→Y | 0.228 | 0.082 | 0.393 | ||
Indirect Effect(a1 × b1 × b3) | X→M1→M3→Y | 0.059 | −0.020 | 0.186 | ||
Indirect Effect(a2 × b2 × b3) | X→M2→M3→Y | 0.048 | 0.004 | 0.114 |
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Shyr, W.-J.; Ho, W.-S.; Chen, J.-R.; Chang, L.-Y.; Chen, I.-M. Effectiveness of Social Participation Courses Applied in the Disaster Prevention for Taiwanese K-12 Education. Sustainability 2022, 14, 8221. https://doi.org/10.3390/su14138221
Shyr W-J, Ho W-S, Chen J-R, Chang L-Y, Chen I-M. Effectiveness of Social Participation Courses Applied in the Disaster Prevention for Taiwanese K-12 Education. Sustainability. 2022; 14(13):8221. https://doi.org/10.3390/su14138221
Chicago/Turabian StyleShyr, Wen-Jye, Wei-Sho Ho, Jie-Ru Chen, Li-Ya Chang, and I-Min Chen. 2022. "Effectiveness of Social Participation Courses Applied in the Disaster Prevention for Taiwanese K-12 Education" Sustainability 14, no. 13: 8221. https://doi.org/10.3390/su14138221
APA StyleShyr, W. -J., Ho, W. -S., Chen, J. -R., Chang, L. -Y., & Chen, I. -M. (2022). Effectiveness of Social Participation Courses Applied in the Disaster Prevention for Taiwanese K-12 Education. Sustainability, 14(13), 8221. https://doi.org/10.3390/su14138221