(Tiểu luận) the influence of the social media application on university students results in ho chi minh city

TON DUC THANG UNIVERSITY FACULTY OF BUSINESS ADMINISTRATION INTERNATIONAL BUSINESS ùø ùø ùø REPORT BUSINESS RESEARCH METHODS THE INFLUENCE OF THE SOCIAL MEDIA APPLICATION ON UNIVERSITY STUDENTS RESULTS IN HO CHI MINH CITY Lecturer: Tran Thi Van Trang Group: Infinity IQ – Shift: (Monday) and (Wednesday) Ho Chi Minh City, 30 May 2021 0 Tieu luan LIST OF GROUP MEMBERS Full name Le Lien Long Student ID 719D0081 Huynh Muoi Luy 719D0082 Duty Evaluation Signature Chapter (1.2 – 1.2.2 – 2.2) Chapter (2.1.1 – 2.1.2 ) Chapter (3.7) Chapter (4.2.1) Chapter (5.2) 100% Signed Chapter (1.6 – 1.7) Chapter (2.1.1 – 2.1.2 ) Chapter (3.3) Chapter (4.4) Chapter (5.2) Design questionaire, design research model Conclusion 100% Signed Chapter (1.3 – 1.5) Chapter (2.1.1 – 2.1.2 – 2.3) Chapter (3.1 – 3.5) Chapter (4.3.1,4.5) Chapter (5.2,5.3) 100% Signed Nguyen Thi Hong Ngoc 719D0105 (leader) 0 Tieu luan Synthesis report Truong Minh Thi 719D0173 Chapter (1.4) Chapter (3.4) Chapter (4.2.2) Chapter (5.2) Design questionaire 100% Signed Tran Le Thinh (subleader) 719D0263 Chapter (1.1 – 1.2.2) Chapter (2.1.1 – 2.1.2 – 2.2) Chapter (3.2) Chapter (4.3.2) Chapter (5.1,5.2) Synthesis report 100% Signed Hinh Van Ty 719D0221 Chapter (1.2 – 1.2.2) Chapter (2.1.1 – 2.1.2 – 2.2 ) Chapter (3.1 – 3.6) Chapter (4.1) Chapter (5.2) 100% Signed 0 Tieu luan COMMENTS FROM LECTURER ……………………………………………………………………………………… ……………………………………………………………………………………… ……………………………………………………………………………………… ……………………………………………………………………………………… ……………………………………………………………………………………… ……………………………………………………………………………………… ……………………………………………………………………………………… ……………………………………………………………………………………… ……………………………………………………………………………………… ……………………………………………………………………………………… ……………………………………………………………………………………… ……………………………………………………………………………………… ……………………………………………………………………………………… ……………………………………………………………………………………… ……………………………………………………………………………………… ……………………………………………………………………………………… ……………………………………………………………………………………… ……………………………………………………………………………………… ……………………………………………………………………………………… ……………………………………………………………………………………… ……………………………………………………………………………………… ……………………………………………………………………………………… ……………………………………………………………………………………… ……………………………………………………………………………………… ……………………………………………………………………………………… ……………………………………………………………………………………… ……………………………………………………………………………………… ……………………………………………………………………………………… ……………………………………………………………………………………… ……………………………………………………………………………………… ……………………………………………………………………………………… ……………………………………………………………………………………… ……………………………………………………………………………………… ……………………………………………………………………………………… ……………………………………………………………………………………… ……………………………………………………………………………………… ……………………………………………………………………………………… ……………………………………………………………………………………… 0 Tieu luan ACKNOWLEDGEMENT First of all, our team would like to give their sincere thankfulness and deep gratitude to Ms Tran Thi Van Trang Ms Trang was the one who gave us endless support and conscientious guidance during the course of our research and finished our survey on the subject: SAP It can be said that the PEOU factor affecting the SAP factor is one of the important relationships, it includes different aspects but only aims to find out whether the use of social networks in learning whether it is easy for students or not, students can use it to quickly gain access to tutors and friends As mentioned in the previous chapter, although the hypothesis between PEOU and SMU is rejected on the grounds that Vietnamese students have no difficulty in using social networks while SMU has an impact on SAP (hypothesis 13) but that does not mean that the relationship between PEOU and SAP is meaningless In fact, PEOU - the degree to which students believe that using social media for effortless learning depends on their ability to use it, whether they know how to it or not, it is certain that there will be obstacles for students who not regularly use technology software in their study and study results will be affected badly For example, students don't know how to submit assignments on Google Classroom, they send their articles to the lecturer via email, but the lecturer has requested and clearly stated that they won't accept assignments through this form In this case, there is a high probability that the student will receive a score of not because they don't know how to the test, but because they have difficulty in using social networks to study The first factor is that students feel that using social networks for learning will be easy To increase this factor, students have to expand their friends list to help them gain more knowledge In addition, social networking sites should add functions to support students that can be easily used in learning Second, students feel that the use of social networks can be easily integrated for personal education In order to increase this, students should discuss alongside their peers and besides, students should also increase the frequency of using search sites such as Google, Bing, to increase their efficiency in studying Thirdly, students feel that using social networks will help them focus on learning, making it easier for them to reach out to their peers To increase interaction within a school environment, students are not afraid to expand their networking by making new friends while also keeping in touch with old ones to increase their efficiency Fourthly, students feel that using social networks in their learning will help them easily reach out to teachers Students should not be afraid to communicate with their teachers should they still have any question about social media Finally, students feel that the use of social networking sites for learning is clear and easy to understand, enabling students to learn online despite the long distance In other words, it helps students to save time and to easily communicate with teachers online when needed Questions can be answered fast, not only after each session, students can also review the lecture via recordings uploaded by the lecturers Therefore, using social networking apps now is a must, making it easy for students to capture important information In order to increase this, schools and businesses should encourage students 56 0 Tieu luan to ask questions about learning problems optimally through chat groups or a certain study group on social networking sites In addition, publishers of social networking sites should create features aimed at students and faculty members to discuss academic related issues in order to increase the quality of student education For the university level, the systematic implementation is quite a challenge Especially, during the ongoing COVID 19 pandemic? What should administrators and businesses to improve it? The first thing the school needs is a large-scale deployment, it needs to "clear the way" for this advanced learning method to develop In addition, the school needs to offer a more friendly and clear presentation interface to help students as much as possible in learning, thereby improving the quality of their results 5.2.5 PU → SAP The PU factor affects the SAP factor, which shows how students' awareness of how using a particular technology can affect their performance PU is considered to be the most influential factor in the adoption of mobile technology Specifically, in factors: I believe that the application of social media is very useful for learning, I feel that applying social media to learning will help me learn more, I believe that the application of social media will improve my effectiveness in learning, that the application of social media in learning allows me to complete tasks faster, the application of social media in learning will improve my performance To improve my performance, the application of social media in learning will improve my research efficiency Therefore, if students have a good feeling about the application of social media in learning, they will have more positive thinking directions The first factor has the positive perception and feedback from students when applying social media applications to their learning The usefulness of social media for school attendance positively influences the use of social media for academic achievement The second factor refers to the fact that students can gain more knowledge when using social media g applications That shows that social media applications can help students get useful information other than the knowledge available in class The third factor is that students' learning efficiency will be enhanced when using social media applications Using social media applications helps students manage time, as well as organize work reasonably The fourth factor mentioned is the use of social media applications to help students complete assignments and assign tasks quickly and scientifically Improving student learning outcomes The fifth factor has improved student performance The use of social media applications helps students solve their work in the simplest and most convenient way 57 0 Tieu luan The last factor mentioned is the application of social media in student research Help them advance and achieve their research goals with the best results Thereby, it can be seen that the problem of this factor is the students' perception of the application of social media in learning Students should choose as well as trust the social media applications that are useful for their learning To improve efficiency and achieve high academic achievement 5.3 Limitations and directions for future research In comparison to the previous study, this study has addressed the limitation that the scope of survey and research conclusions in only one institution has now reached additional schools, but certain restrictions remain Firstly, it is still geographically constrained, and despite efforts to survey additional colleges, this number is still insufficient, and it is still limited to Ho Chi Minh City As a result, the results are not generalizable to the entire country Due to limited time and resources, our team expects that these contributions can assist improve the next research publications, bringing statistical data that are more applicable over a number of larger surveys Second, though our study only found five factors influencing the use of social networks and their impact on students' learning outcomes, we believe that there are other additional elements that we have not had enough time to study, therefore we hope that future research will produce a more extensive research model to address issues that we are still on a trip to discover a complete answer to 58 0 Tieu luan CONCLUSION With industry 4.0 rising, the use of social media for students is no longer entertaining but is fully capable of applying it in learning if they know how to use it properly Above all, because of the outbreak of COVID-19, people's lives are increasingly centered around high-tech utilities, especially social media - software with a wide variety of different forms and features that will make it easier for people to connect with each other not only in the country but also globally to build their own networks of learning with huge participants To gain a consistent and popular position as it is now so difficult and every business has to work hard and fight for their software so much that they want people who have been using a social media application to get a learning result worthy of what they have spent and a certain loyalty to it Throughout the study, the group demonstrated the importance of using social media in learning to get the students' academic performance and we also made appropriate recommendations for leaders from schools to organizations, to be able to find new planning directions that would allow social media to be used widely in learning similar to today's student systems or special platforms like Google Meet and Zoom, it aims to support and improve student performance In addition to its main goal, the study focuses on assessing user satisfaction with social media applications for learning The group wanted to find differences in the experience between different students regarding gender, age, and background use more often so that further suggestions could be made in the future While there are limitations to using social media for students such as overuse of time, not knowing how to exploit useful content to develop themselves and improve learning outcomes, the group hopes that not only university leaders, businesses behind the success of many social media platforms will change policies Changing features to help students that are most important is that students must be self-aware of the strengths and weaknesses of social media, know how to balance them both in learning and in life because any tool is the same, only when used properly, for the right purposes will it be like a wonderful companion of our own 59 0 Tieu luan APPENDIX Research model in Smart PLS software after data analysis (Source: by Authors Synthesized) 60 0 Tieu luan REFERENCES Paolo M Pumilia-Gnarini; Elena Pacetti; Jonathan Bishop; Luigi Guerra, 2012, ICI Global, 10.4018/978-1-4666-2122-0 [CrossRef] Kerri-Lee Krause; Sandra Bochner; Sue Duchesne, 2006, MACQUARIE University, 9780170128520 [CrossRef] Marjan Laal MD; Mozhgan Laal MSc, 2012, SciVerse ScienceDirect, 31 (2012) 491 – 495 [CrossRef] Fred D Davis, Management Information Systems Research Center, University of Minnesota, MIS Quarterly Vol 13, No 3, 1989 [CrossRef] Michael Stephens, 2020, Student Engagement,10.1080/01587919/2018.1520041 [CrossRef] Joe Phua; Jihoon Kim, 2017, ResearchGate, 10.1016/j.chb.2017.02.041 [CrossRef] Kevin Elliott; Margaret A Healy; 2001, ResearchGate, 10.1300/J050v10n04_01 [CrossRef] Rueda, L.; Benítez, J.; Braojos, J., Inf Manag 2017, 54, 1059–1071 [CrossRef] Erina L.MacGeorge; John B.Dunning, 2008,ResearchGate, 10.1007/BF03033425 [CrossRef] 10 Patera, M.; Draper, S.; Naef, M Exploring Interact Learn Environ 2008, 16, 245–263 [CrossRef] 11 Bryer, T.A.; Chen, B The Use of Social Media and Networks in Teaching Public Administration, Charlotte, NC, USA, 2010 [CrossRef] 12 Ainin, S.; Naqshbandi, M.M.; Mogavvemi, S.; Jaafar, N.I Facebook usage, socialization and academic performance Comput Educ 2015, 83, 64–73 [CrossRef] 61 0 Tieu luan 13 Al-Rahmi, W.M.; Aldraiweesh, A.; Yahaya, N.; Kamin, Y.B Massive open online courses (MOOCS) Int J Eng Technol 2018, 7, 2197–2202 [CrossRef] 14 Dillenbourg, P Cognitive and Computational Approaches; Dillenbourg, P., Ed.; Elsevier: Amsterdam, The Netherlands, 1999 [CrossRef] 15 Liu, Y Developing a scale to measure the interactivity of websites J Advert Res 2003, 43, 207–216 [CrossRef] 16 Bryer, T.A.; Chen, B The Use of Social Media and Networks in Teaching Public Administration, Charlotte, NC, USA, 2010 [CrossRef] 17 Fewkes, A.M.; McCabe, J Digit Learn Teach Educ 2012, 28,92–98 [CrossRef] 18 Cheng, E.W.; Chu, S.K.; Ma, C.S Tertiary Br J Educ Technol 2016, 47, 958–969 [CrossRef] 19 Al-Rahmi, W.M.; Alias, N.; Othman, M.S.; Ahmed, I.A.; Zeki, A.M.; Saged, , J Theor Appl Inf Technol 2017, 95, 5399–5414 [CrossRef] 20 Junjie, Z Exploring the factors affecting learners’ continuance intention of MOOCs Australas J Educ Technol 2017, 33, 123–135 [CrossRef] 21 Al-Rahmi, W.M.; Yahaya, N.; Alamri, M.M.; Aljarboa, N.A.; Kamin, Y.B.; Saud, M.S.B IEEE Access 2019, 7, 20199–20210 [CrossRef] 22 Zeithaml, V.A J Acad Mark Sci 2000, 28, 67–85 [CrossRef] 23 Lin, K.Y.; Lu, H.P Comput Hum Behav 2011, 27, 1152–1161 [CrossRef] 24 Almaiah, M.A.; Alamri, M.M.; Al-Rahmi, W.M IEEE Access 2019, 8, 16139– 16154 [CrossRef] 25 Park, S.Y.; Nam, M.W.; Cha, S.B Br J Educ Technol 2012, 43, 592–605 [CrossRef] 26 Hsu, C.K.; Hwang, G.J.; Chuang, C.W.; Chang, C.K Br J Educ Technol 2012, 43, 606–623 [CrossRef] 62 0 Tieu luan 27 Rueda, L.; Benítez, J.; Braojos, J Inf Manag 2017, 54, 1059–1071 [CrossRef] 28 Junco, R.; Elavsky, C.M.; Heiberger, G Putting Twitter Br J Educ Technol 2013, 44, 273–287 [CrossRef] 29 Camus, M.; Hurt, N.E.; Larson, L.R.; Prevost, L Coll Teach 2016, 64, 84–94 [CrossRef] 30 Moafa, F.A.; Ahmad, K.; Al-Rahmi, W.M.; Alias, N.; Obaid, M.A.M Factors Saudi Arabia (KSA) J Theor Appl Inf Technol 2018,96, 1606–1618 [CrossRef] 31 Rueda, L.; Benítez, J.; Braojos, J Inf Manag 2017, 54, 1059–1071 [CrossRef] 32 Moafa, F.A.; Ahmad, K.; Al-Rahmi, W.M.; Yahaya, N.; Kamin, Y.B.; Alamri, M.M Develop, IEEE Access 2018, 6, 56685–56699 [CrossRef] 33 Pineda-Báez, C.; Bermúdez-Aponte, J.-J.; Rubiano-Bello, A.; Pava-García, N.; Suárez-García, R.;Cruz-Becerra, F Student, RELIEVE 2014, 20, 1–19 [CrossRef] 34 Al-Rahmi, W.M.; Yahaya, N.; Aldraiweesh, A.A.; Alturki, U.; Alamri, M.M.; Saud, M.S.B.; Kamin, Y.B.; Alhamed, O.A , IEEE Access 2019, 7, 47245–47258 [CrossRef] 35 Al-Maatouk, Q.; Othman, M.S.; Alsayed, A.O.; Al-Rahmi, A.M.; Abuhassna, H.; Al-Rahmi, W.M , Int J Adv Trends Comput Sci Eng 2020, 9, 1505–1517 [CrossRef] 36 Cao, Y.; Ajjan, H.; Hong, P, Br J Educ Technol 2013, 44, 581–593 [CrossRef] 37 Joe and Michael B Devlin; L Todd Chambers &Coy Callison, Journal of Broadcasting & Electronic Media, 2011 [CrossRef] 38 Hair, J.F., Ringle, C.M and Sarstedt, M (2013),