Parental Perceived Usefulness on a School-Integrated App to Prevent Bullying and Eating Disorders
Abstract
:1. Introduction
2. Materials and Methods
3. Results
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Lee, K.; Vaillancourt, T. A Four-Year Prospective Study of Bullying, Anxiety, and Disordered Eating Behavior Across Early Adolescence. Child Psychiatry Hum. Dev. 2019, 50, 815–825. [Google Scholar] [CrossRef]
- Zhu, C.; Huang, S.; Evans, R.; Zhang, W. Cyberbullying among adolescents and children: A comprehensive review of the global situation, risk factors, and preventive measures. Front. Public Health 2021, 9, 634909. [Google Scholar] [CrossRef]
- Livingstone, S.; Helsper, E. Parental mediation of children’s internet use. J. Broadcast. Electron. Media 2008, 52, 581–599. [Google Scholar] [CrossRef]
- Zheng, J.; Li, S. What drives students’ intention to use tablet computers: An extended technology acceptance model. Int. J. Educ. Res. 2020, 102, 101612. [Google Scholar] [CrossRef]
- Ferreira, R.C.; Frota, M.A.; Vasconcelos Filho, J.E.; Bastos, A.P.F.; Luna, G.L.M.; Rolim, K.M.C. Comparison of features of a mobile application to report school violence through benchmarking. J. Sch. Health 2020, 90, 295–300. [Google Scholar] [CrossRef]
- Chiang, C.P.; Hayes, D.; Panagiotopoulou, E. Apps targeting anorexia nervosa in young people: A systematic review of active ingredients. Transl. Behav. Med. 2023, 13, 406–417. [Google Scholar] [CrossRef]
- Lipschitz, J.; Miller, C.J.; Hogan, T.P.; Burdick, K.E.; Lippin-Foster, R.; Simon, S.R.; Burgess, J. Adoption of Mobile Apps for Depression and Anxiety: Cross-Sectional Survey Study on Patient Interest and Barriers to Engagement. JMIR Ment. Health 2019, 6, e11334. [Google Scholar] [CrossRef]
- Torous, J.; Roberts, L.W. Needed innovation in digital health and smartphone applications for mental health: Transparency and trust. JAMA Psychiatry 2017, 74, 437–438. [Google Scholar] [CrossRef]
- Wiberg, A.C.; Ghaderi, A.; Danielsson, H.B.; Safarzadeh, K.; Parling, T.; Carlbring, P.; Jansson, M.; Welch, E. Internet-based cognitive behavior therapy for eating disorders—Development and feasibility evaluation. Internet Interv. 2022, 30, 100570. [Google Scholar] [CrossRef]
- Hartikainen, H.; Ventä-Olkkonen, L.; Iivari, N.; Sharma, S.; Lehto, E.; Molin-Juustila, T.; Holappa, J. We learned we can do something to reduce bullying: Children designing anti-bullying mobile apps to empower their peers. Front. Educ. 2023, 8, 1112835. [Google Scholar] [CrossRef]
- Timotheou, S.; Miliou, O.; Dimitriadis, Y.; Sobrino, S.V.; Giannoutsou, N.; Cachia, R.; Monés, A.M.; Ioannou, A. Impacts of digital technologies on education and factors influencing schools’ digital capacity and transformation: A literature review. Educ. Inf. Technol. 2023, 28, 6695–6726. [Google Scholar] [CrossRef]
- Gaci, M.; Vonèche Cardia, I.; Gillet, D. Privacy-Aware Digital Mediation Tools for Improving Adolescent Mental Well-being: Application to School Bullying. In Proceedings of the 13th International Conference on Advances in Computer-Human Interactions 2020 ACHI, Valencia, Spain, 21–25 November 2020. [Google Scholar]
- Marwick, A.E.; Boyd, D. Networked privacy: How teenagers negotiate context in social media. New Media Soc. 2014, 16, 1051–1067. [Google Scholar] [CrossRef]
- Plant, E.A.; Baylor, A.L.; Doerr, C.E.; Rosenberg-Kima, R.B. Changing middle-school students’ attitudes and performance regarding engineering with computer-based social models. Comput. Educ. 2009, 53, 209–215. [Google Scholar] [CrossRef]
- Shaouf, A.; Altaqqi, O. The impact of gender differences on adoption of information technology and related responses: A review. Int. J. Manag. Appl. Res. 2018, 5, 22–41. [Google Scholar] [CrossRef]
- Nguyen, T.; Malik, A. Employee acceptance of online platforms for knowledge sharing: Exploring differences in usage behaviour. J. Knowl. Manag. 2021, 26, 1985–2006. [Google Scholar] [CrossRef]
- Kotze, T.G.; Anderson, O.; Summerfield, K. Technophobia: Gender differences in the adoption of high-technology consumer products. S. Afr. J. Bus. Manag. 2016, 47, 21–28. [Google Scholar] [CrossRef]
- Van Dijk, J. The Digital Divide; John Wiley & Sons: Hoboken, NJ, USA, 2020. [Google Scholar]
- Bao, Y.; Xiong, T.; Hu, Z.; Kibelloh, M. Exploring gender differences on general and specific computer self-efficacy in mobile learning adoption. J. Educ. Comput. Res. 2013, 49, 111–132. [Google Scholar] [CrossRef]
- Park, J.; Amendah, E.; Lee, Y.; Hyun, H. M-payment service: Interplay of perceived risk, benefit, and trust in service adoption. Hum. Factors Ergon. Manuf. 2018, 29, 31–43. [Google Scholar] [CrossRef]
- Davis, F.D. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 1989, 13, 319–340. [Google Scholar] [CrossRef]
- Davis, F.D. User acceptance of information technology: System characteristics, user perceptions and behavioral impacts. Int. J. Man-Mach. Stud. 1993, 38, 475–487. [Google Scholar] [CrossRef]
- Osorio-Saez, E.M.; Eryilmaz, N.; Sandoval-Hernandez, A. Parents’ Acceptance of Educational Technology: Lessons from around the World. Front. Psychol. 2021, 30, 719430. [Google Scholar] [CrossRef] [PubMed]
- Powell, L.M.; Wimmer, H. Parental perceptions and recommendations of computing majors: A technology acceptance model approach. Inf. Syst. Educ. J. 2017, 15, 29. [Google Scholar]
- Kusumadewi, A.N.; Lubis, N.A.; Prastiyo, R.; Tamara, D. Technology acceptance model (TAM) in the use of online learning applications during the COVID-19 pandemic for parents of elementary school students. Edunesia J. Ilm. Pendidik. 2021, 2, 272–292. [Google Scholar] [CrossRef]
- Venkatesh, V.; Davis, F. A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Manag. Sci. 2000, 46, 186–204. [Google Scholar] [CrossRef]
- Wheeler, B.; Baumel, K.; Hall, D.L.; Silva, Y.N. US parents’ intentions to use anti-bullying apps: Insights from a comprehensive model. Heliyon 2023, 9, e19630. [Google Scholar] [CrossRef]
- Campbell, D.T.; Stanley, J.C. Experimental and Quasi-Experimental Designs for Research on Teaching. In Handbook of Research on Teaching; Gage, X.X., Ed.; Rand McNally: Chicago, IL, USA, 1963; pp. 171–246. [Google Scholar]
- Fox, D. El Proceso de Investigación en Educación; EUNSA: Navarra, Spain, 1981. [Google Scholar]
- Kerlinger, F.N. Investigación del Comportamiento. Técnicas y Metodología; Interamericana: Mexico City, Mexico, 1987. [Google Scholar]
- Coolican, H. Research Methods and Statistics in Psychology, 5th ed.; Hodder Education: London, UK, 2009. [Google Scholar]
- Stives, K.L.; May, D.C.; Bethel, C.L. Parental Perspectives about What It Means to Bully. J. Fam. Issues 2023, 44, 3273–3292. [Google Scholar] [CrossRef]
App Name | Primary Focus | Description |
---|---|---|
BullStop | Cyberbullying | Deep-learning to flag and auto-delete offensive content on social platforms. |
MY3 | Suicide ideation | Outreach to contacts during emotional lows. Provides a safety plan tool. |
Netsafe’s ReThink | Cyberbullying | Detects and stops hurtful messages. Aims to reduce cyberbullying impact. |
Recovery Record | Eating disorders | Recovery with meal and emotion tracking. Integrates with treatment teams. |
Rise Up + Recover | Eating disorders | Logs meals, emotions, and behaviors. Provides coping strategies. |
SafeUT | Crisis support | Offers real-time crisis support through live chat and a tip program. |
Wysa | Mental health | AI chatbot for stress and mental health issues. Offers coping strategies. |
Mean | SD | N | % | ||
---|---|---|---|---|---|
Gender | Women | 42.33 | 6.04 | 103 | 51.24% |
Men | 45.62 | 7.63 | 98 | 48.76% | |
Total | 43.91 | 7.04 | 201 | 100.00% |
Dimension | Item Description |
---|---|
| Level of knowledge about bullying. |
Level of knowledge about eating disorders. | |
Level of knowledge about mobile applications designed to prevent bullying and EDs in adolescents | |
| Assessment of the risk of the child developing eating disorders. |
Assessment of the risk of the child being a victim of bullying. | |
Assessment of the risk of the child being an aggressor in bullying situations. | |
| Concern about the negative impact on family privacy. |
Concern about the invasion of privacy by the school. | |
Concern about possible unauthorized access to the child’s data. | |
Concern about excessive dependency on technology. | |
| Evaluation of the positive influence of recommendations from health professionals or educators. |
Evaluation of the positive influence of detailed knowledge of how the APP works and what information it collects. | |
Evaluation of the positive influence of knowledge about successful cases where the APP has prevented bullying or ED situations. | |
Evaluation of the positive influence of the ability to customize and tailor the APP to the child’s individual needs. | |
| Evaluation of the benefits of increased communication and collaboration between parents and school professionals regarding the child’s well-being. |
Evaluation of the benefits of greater trust in the school’s ability to address bullying and EDs. | |
Evaluation of the benefits of having relevant and up-to-date information about the child’s progress and needs. | |
Evaluation of the benefits of increased participation and awareness of prevention activities and programs implemented by the school. | |
| Evaluation of the importance of receiving immediate alerts about bullying or ED-related behaviors detected. |
Evaluation of the importance of receiving a periodic summary of the child’s activities and behaviors related to bullying and EDs. | |
Evaluation of the importance of receiving recommendations and resources to address bullying and EDs. | |
Evaluation of the importance of receiving statistics and analysis on the incidence of bullying and EDs in the school community. | |
| Overall evaluation of the utility of installing the APP for preventing bullying and ED at school. |
Overall evaluation of the willingness to install the APP on the child’s mobile phone to prevent bullying and EDs. |
App Utility | Predisposition to Install the App | |||
---|---|---|---|---|
ρ | p Value | ρ | p Value | |
Predisposition to install the app | 0.575 | <0.001 *** | — | — |
Knowledge of school bullying | 0.374 | <0.001 *** | 0.384 | <0.001 *** |
Knowledge of eating disorders | 0.266 | <0.001 *** | 0.390 | <0.001 *** |
Knowledge of mobile applications | 0.174 | 0.014 * | 0.244 | <0.001 *** |
Risk of eating disorders | 0.116 | 0.100 | 0.234 | <0.001 *** |
Risk of being a victim of bullying | 0.098 | 0.168 | 0.265 | <0.001 *** |
Risk of engaging in bullying | 0.064 | 0.366 | 0.146 | 0.039 * |
Negative impact on family privacy | 0.063 | 0.375 | −0.009 | 0.898 |
Concern about school privacy invasion | 0.124 | 0.080 | −0.006 | 0.930 |
Possible unauthorized access | 0.047 | 0.503 | 0.055 | 0.436 |
Excessive dependence on technology | −0.053 | 0.458 | 0.022 | 0.754 |
Recommendation from professionals | 0.517 | <0.001 *** | 0.632 | <0.001 *** |
Detailed knowledge of the app | 0.381 | <0.001 *** | 0.476 | <0.001 *** |
Knowledge of successful cases | 0.522 | <0.001 *** | 0.590 | <0.001 *** |
App customization | 0.449 | <0.001 *** | 0.639 | <0.001 *** |
Increased communication and collaboration | 0.495 | <0.001 *** | 0.672 | <0.001 *** |
Enhanced trust in the school | 0.398 | <0.001 *** | 0.596 | <0.001 *** |
Relevant and up-to-date information | 0.360 | <0.001 *** | 0.590 | <0.001 *** |
Increased participation in programs | 0.421 | <0.001 *** | 0.598 | <0.001 *** |
Immediate alerts on behaviors | 0.451 | <0.001 *** | 0.487 | <0.001 *** |
Periodic activity summaries | 0.394 | <0.001 *** | 0.448 | <0.001 *** |
Recommendations and resources | 0.400 | <0.001 *** | 0.517 | <0.001 *** |
Statistics and incidence of bullying | 0.363 | <0.001 *** | 0.555 | <0.001 *** |
Women | Men | Total | |||||||
---|---|---|---|---|---|---|---|---|---|
N | Mean | SD | N | Mean | SD | N | Mean | SD | |
Knowledge of school bullying | 103 | 3.94 | 1.34 | 98 | 3.94 | 1.18 | 201 | 3.93 | 1.26 |
Knowledge of eating disorders | 103 | 3.75 | 1.29 | 98 | 3.35 | 1.24 | 201 | 3.56 | 1.28 |
Knowledge of mobile applications | 103 | 1.32 | 1.32 | 98 | 2.60 | 1.33 | 201 | 1.45 | 1.32 |
Risk of eating disorders | 103 | 2.67 | 1.56 | 98 | 2.61 | 1.50 | 201 | 2.64 | 1.52 |
Risk of being a victim of bullying | 103 | 2.73 | 1.50 | 98 | 2.60 | 1.38 | 201 | 2.67 | 1.44 |
Risk of engaging in bullying | 103 | 2.48 | 1.27 | 98 | 2.14 | 1.26 | 201 | 2.31 | 1.27 |
Negative impact on family privacy | 103 | 3.10 | 1.73 | 98 | 3.04 | 1.62 | 201 | 3.07 | 1.67 |
Concern about school privacy invasion | 103 | 3.53 | 1.73 | 98 | 3.16 | 1.50 | 201 | 3.35 | 1.63 |
Possible unauthorized access | 103 | 3.74 | 1.78 | 98 | 3.28 | 1.46 | 201 | 3.51 | 1.64 |
Excessive dependence on technology | 103 | 3.11 | 1.68 | 98 | 3.07 | 1.69 | 201 | 3.09 | 1.68 |
Recommendation from professionals | 103 | 4.24 | 1.52 | 98 | 4.27 | 1.61 | 201 | 4.25 | 1.56 |
Detailed knowledge of the app | 103 | 4.55 | 1.50 | 98 | 4.26 | 1.59 | 201 | 4.41 | 1.55 |
Knowledge of successful cases | 103 | 4.33 | 1.56 | 98 | 4.27 | 1.36 | 201 | 4.30 | 1.46 |
App customization | 103 | 4.24 | 1.61 | 98 | 4.23 | 1.41 | 201 | 4.24 | 1.51 |
Increased communication and collaboration | 103 | 4.08 | 1.61 | 98 | 4.34 | 1.25 | 201 | 4.20 | 1.45 |
Enhanced trust in the school | 103 | 4.11 | 1.69 | 98 | 4.23 | 1.51 | 201 | 4.17 | 1.60 |
Relevant and up-to-date information | 103 | 4.02 | 1.55 | 98 | 4.06 | 1.35 | 201 | 4.04 | 1.45 |
Increased participation in programs | 103 | 3.86 | 1.62 | 98 | 4.00 | 1.49 | 201 | 3.93 | 1.55 |
Immediate alerts on behaviors | 103 | 4.38 | 1.37 | 98 | 4.12 | 1.43 | 201 | 4.25 | 1.40 |
Periodic activity summaries | 103 | 4.22 | 1.69 | 98 | 4.17 | 1.44 | 201 | 4.20 | 1.57 |
Recommendations and resources | 103 | 3.78 | 1.66 | 98 | 3.98 | 1.46 | 201 | 3.88 | 1.56 |
Statistics and incidence of bullying | 103 | 4.07 | 1.78 | 98 | 4.43 | 1.36 | 201 | 4.24 | 1.60 |
Utility of the APP | 103 | 3.79 | 1.58 | 98 | 4.38 | 1.35 | 201 | 4.07 | 1.50 |
Predisposition to install the APP | 103 | 3.89 | 1.62 | 98 | 4.15 | 1.43 | 201 | 4.01 | 1.53 |
U | p Value | rbis | |
---|---|---|---|
Knowledge of school bullying | 5020 | 0.948 | 0.005 |
Knowledge of eating disorders | 4140 | 0.026 * | 0.180 |
Knowledge of mobile applications | 4448 | 0.140 | 0.119 |
Risk of eating disorders | 4990 | 0.888 | 0.011 |
Risk of being a victim of bullying | 4847 | 0.620 | 0.034 |
Risk of engaging in bullying | 4270 | 0.051 | 0.154 |
Negative impact on family privacy | 4960 | 0.831 | 0.017 |
Concern about school privacy invasion | 4387 | 0.104 | 0.131 |
Possible unauthorized access | 4247 | 0.049 * | 0.159 |
Excessive dependence on technology | 5005 | 0.918 | 0.008 |
Recommendation from professionals | 4921 | 0.754 | 0.025 |
Detailed knowledge of the app | 4492 | 0.166 | 0.110 |
Knowledge of successful cases | 4775 | 0.500 | 0.054 |
App customization | 4910 | 0.734 | 0.027 |
Increased communication and collaboration | 4748 | 0.458 | 0.059 |
Enhanced trust in the school | 4915 | 0.744 | 0.026 |
Relevant and up-to-date information | 5028 | 0.962 | 0.004 |
Increased participation in programs | 4841 | 0.612 | 0.041 |
Immediate alerts on behaviors | 4550 | 0.218 | 0.098 |
Periodic activity summaries | 4789 | 0.523 | 0.051 |
Recommendations and resources | 4711 | 0.408 | 0.067 |
Statistics and incidence of bullying | 4602 | 0.269 | 0.088 |
Utility of the APP | 3969 | 0.008 ** | 0.214 |
Predisposition to install the APP | 4711 | 0.412 | 0.067 |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Cembreros Castaño, D.; Moraleda Ruano, Á.; Nieto-Márquez, N.L. Parental Perceived Usefulness on a School-Integrated App to Prevent Bullying and Eating Disorders. Educ. Sci. 2024, 14, 230. https://doi.org/10.3390/educsci14030230
Cembreros Castaño D, Moraleda Ruano Á, Nieto-Márquez NL. Parental Perceived Usefulness on a School-Integrated App to Prevent Bullying and Eating Disorders. Education Sciences. 2024; 14(3):230. https://doi.org/10.3390/educsci14030230
Chicago/Turabian StyleCembreros Castaño, Diana, Álvaro Moraleda Ruano, and Natalia Lara Nieto-Márquez. 2024. "Parental Perceived Usefulness on a School-Integrated App to Prevent Bullying and Eating Disorders" Education Sciences 14, no. 3: 230. https://doi.org/10.3390/educsci14030230
APA StyleCembreros Castaño, D., Moraleda Ruano, Á., & Nieto-Márquez, N. L. (2024). Parental Perceived Usefulness on a School-Integrated App to Prevent Bullying and Eating Disorders. Education Sciences, 14(3), 230. https://doi.org/10.3390/educsci14030230