Teachers’ Attitude Towards School Information System (SIS) for Decision Driven Support in Senior High School the Gomoa West District

Deborah Adjei; Richard Adade

doi:10.55927/ijcs.v1i7.8981

Authors

Deborah Adjei University of Cape Coast
Richard Adade University of Cape Coast

DOI:

https://doi.org/10.55927/ijcs.v1i7.8981

Keywords:

Attitude, School Information System (SIS), West Gomoa District Public High School

Abstract

This study explores educators' perspectives on the School Information System (SIS) in a Senior High School within the Gomoa West District. Using a quantitative method, data from 346 respondents were analysed through descriptive analysis. Results indicate that school leadership significantly influences SIS adoption; supportive leadership fosters its use, although not universally among district leaders. Teachers' positive attitudes towards the SIS correlate with their acceptance of it. The study suggests government-led training to prepare teachers for student and school management systems, promoting digital technology integration in classrooms for improved education in Ghana's senior high schools. Overall, the research underscores the SIS's potential in enhancing decision-making support in education

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References

Adisa, T. A., Ogbonnaya, C., & Adekoya, O. D. (2023). Remote working and employee engagement: a qualitative study of British workers during the pandemic. Information Technology & People, 36(5), 1835-1850.

Aditia, E., Tela, I. N., Saleh, N., & Ilona, D. (2018). Understanding the behavioral intention to use a university web-portal. In MATEC Web of Conferences (Vol. 248, p. 05004). EDP Sciences.

Agustina, D. (2019). Extension of technology acceptance model (Etam): Adoption of cryptocurrency online trading technology. Jurnal Ekonomi, 24(2), 272-287.

Agyei, D. D. (2013). Analysis of technology integration in teacher education in Ghana.

Ajzen, I. & Fishbein, M. (2000). Attitudes and the attitude-behaviour relation: Reasoned and automatic processes. European Review of Social Psychology, 11, 1-33.

Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behaviour (p.278). Englewood Cliffs, NJ: Prentice-Hall.

Ajzen, I., & Fishbein, M. (2000). Attitudes and the attitude-behavior relation: Reasoned and automatic processes. European review of social psychology, 11(1), 1-33.

Akbari, E., Naderi, A., Yazdi, M. H., Simons, R.-J., & Pilot, A. (2016). Attitude of teachers and students towards formal learning through online social networks. Journal of Interactive Learning Research, 27(2), 101–123.

Akman, I., & Turhan, C. (2017). User acceptance of social learning systems in higher education: an application of the extended Technology Acceptance Model. Innovations in Education and Teaching International, 54(3), 229-237.

Al-Rabaani, A. H. H. (2008). Attitudes and skills of Omani teachers of social studies to the use of computers in instruction. International Journal of Education and Development using Information and Communication Technology (IJEDICT), 2008, Vol. 4, Issue 4, pp.15-34

Alshammari, T., Alshammari, G., & Alshammari, A. (2020). Leveraging Student Information Systems for Academic Interventions. Educational Leadership, 55(2), 18-23.

Alshare, K. A., Alomari, M. K., Lane, P. L., & Freeze, R. D. (2019). Development and determinants of end-user intention: usage of expert systems. Journal of Systems and Information Technology, 21(2), 166-185.

Al-Somalí, S.A., Ghalami, R., & Clegg, B. (2009). An investigation of online banking in Saudi Arabia, Technovation, 29, 130-141.

Al-Tit, A. A. (2016). Management information systems in public institutions in Jordan. International Journal of Advanced Computer Science and Applications, 7(7).

Amin, M., Rezaei, S., & Abolghasemi, M. (2014). User satisfaction with mobile websites: the impact of perceived usefulness (PU), perceived ease of use (PEOU) and trust. Nankai Business Review International, 5(3), 258-274.

Anamoah-Mensah, S. (2011). “T141-ID Using the Technology Acceptance Model to predict Ghanaian Students Acceptance and Adoption of Mobile learning.” Paper presented at the annual meeting of the AECT International Convention, Hyatt Regency Jacksonville Riverfront, Jacksonville, FL.

Andika, G., Masudin, I., & Zulfikarijah, F. (2022). The Effect of Experience and Complexity of The Technology Acceptance Model (TAM) on Accepting Applications (E-PKH) In East Java. Business Innovation Management and Entrepreneurship Journal (BIMANTARA), 1(1), 11-22.

Babbie, E. (2016). The Practice of Social Research. Cengage Learning. In this textbook, Babbie provides insights into research concepts, including the definition and explanation of research populations.

Boison, B. T., & Dzidonu, C. K. (2015). Enhancing Tertiary Education Through The Infusion Of Technologies: Exploring The Challenges. International Journal of Industrial Engineering & Technology (IJIET). 5(1), 19-32.

Brezavšček, A., Šparl, P., & Žnidaršič, A. (2014). Extended Technology Acceptance Model for SPSS acceptance among Slovenian students of social sciences. Organizacija, 47(2), 116-127 (PDF) A Review of Technology Acceptance Models and Theories.

Choudhury, V., Karahanna, E., & Dumm, R. (2012). The relative advantage of electronic channels: A conceptual and operational definition. Mis Quarterly, 30(1), 115–143.

Chuttur, M. (2009). Overview of the technology acceptance model: Origins, developments and future directions.

Creswell, J. W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (4th ed.). SAGE Publications.

Creswell, J. W., & Creswell, J. D. (2017). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. SAGE Publications.

Datnow, A., & Park. V., (2009) “School system strategies for supporting data Use.” In Handbook of Data-Based Decision Making in Education, edited by Theodore J. Kowalski and Thomas J. Lasley II, 191–206. New York: Routledge.

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13, 3, 319–339.

Davis, N. E. (2009). Education must evolve to embrace digital technology. A presentation made at the International Summit on Information and Communication Technology in Education.

Davis. F. D., Bagozzi, R. & Warshaw, P. (1989). “User Acceptance of Computer Technology: A comparison of Two Theoretical Models. ”Management Science, 35 (8), 982-1003.

DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: a ten-year update. Journal of management information systems, 19(4), 9-30.

DeLone, W. H., & McLean, E. R. (2016). Information Systems Success Measurement. In Foundations and Trends in Information Systems (Vol. 2).

Deneen, C. C., Ng, E. M., & Shroff, R. H. (2011). Analysis of the technology acceptance model in examining students’ behavioural intention to use an eportfolio system “Australasian Jurnal of Educational Technology”.

Farah, M. F. (2017). Application of the theory of planned behavior to customer switching intentions in the context of bank consolidations. International Journal of Bank Marketing, 35(1), 147–172.

Fathema, N., Shannon, D., & Ross, M. (2015). Expanding the Technology Acceptance Model (TAM) to examine faculty use of Learning Management Systems (LMSs) in higher education institutions. Journal of Online Learning & Teaching, 11(2).

Gonzalez, A., & Fernandez, M. (2019). The Role of Student Information Systems in Higher Education. Journal of Educational Technology, 45(3), 210-225.

Gürkut, C., & Nat, M. (2017). Important factors affecting student information system quality and satisfaction. EURASIA Journal of Mathematics, Science and Technology Education, 14(3), 923-932.

HARYADI, D. (2017). Analisis Niat User Dalam Menggunakan portal e-resources Dengan Pendekatan Model Technology Acceptance Model (TAM). Doctoral dissertation, Universitas Airlangga.

Hashim, K. F., & Tan, F. B. (2018). Examining the determinant factors of perceived online community usefulness using the expectancy value model. Journal of Systems and Information Technology, 20(2), 152–167.

He, Y., Chen, Q., & Kitkuakul, S. (2018). Regulatory focus and technology acceptance: Perceived ease of use and usefulness as efficacy. Cogent Business and Management, 5(1), 1–22.

Hendra, S., & Arifin, Y. (2018). Web-based usability measurement for student grading information system. Procedia Computer Science, 135, 238-247.

Hernández-Ramos, J. P., Martínez-Abad, F., Peñalvo, F. J. G., García, M. E. H., & Rodríguez-Conde, M. J. (2014). Teachers’ attitude regarding the use of ICT. A factor reliability and validity study. Computers in Human Behavior, 31, 509-516.

Hill, N. E., Witherspoon, D. P., & Bartz, D. (2016). Parental involvement in education during middle school: Perspectives of ethnically diverse parents, teachers, and students. The Journal of Educational Research.

Ho, L., & Do, M. (2019). Enhancing Stakeholder Communication through Student Information Systems: A Comparative Study. Journal of Educational Administration, 40(1), 87-102.

Ho, L., Hung, C., & Chen, H. (2013). Using theoretical models to examine the acceptance behavior of mobile phone messaging to enhance parent–teacher interactions. Computers & Education, 61, 105–114.

Holden, R. J., & Karsh, B. T. (2010). The technology acceptance model: its past and its future in health care. Journal of biomedical informatics, 43(1), 159-172.

Hossain, M., & Dwivedi, Y. (2018). Challenges in Implementing Student Information Systems: A Qualitative Study. Computers & Education, 72, 10-22.

Huang, L., Wu, J., & Wang, Y. (2020). Enhancing Operational Efficiency through Student Information Systems: A Case Study of University X. International Journal of Information Management, 35(4), 521-536.

Ibrahim, R., Leng, N. S., Yusoff, R. C. M., Samy, G. N., Masrom, S., & Rizman, Z. I. (2017). E-learning acceptance based on technology acceptance model (TAM). Journal of Fundamental and Applied Sciences, 9(4S), 871-889.

Iqbal, J. (2018). Metode Pembelajaran E-Learning Menggunakan Technology Acceptance Modelling (TAM) Untuk Pembelajaran Akuntansi. InFestasi, 14(2), 116-125.

Kanchanatanee, K., Suwanno, N., & Jarernvongrayab, A. (2014). Effects of attitude toward using, perceived usefulness, perceived ease of use and perceived compatibility on intention to use E-marketing. Journal of Management Research, 6(3), 1.

Khairullah, T., Rahman, M., & Ali, N. (2021). Mobile Accessibility and Student Information Systems: A User-Centric Perspective. Journal of Information Systems, 30(2), 145-160.

Kombo, K., Kimbui, S., & Kisia, J. (2018). Resistance Factors in Student Information System Implementation: A Case of University Y. International Journal of Technology Management, 40(3), 245-262.

Krejcie, R. V., & Morgan, D. W. (1970). Sample size determination table. Educational and psychological Measurement, 30, 607-610.

Kuo, Y. C., & Walker, A. E. (2014). The influence of technology acceptance on student interaction and collaboration. Educational Technology & Society, 17(1), 54-63.

Leedy, P. & Ormrod, J. E. (2014). Practical Research Planning and Design. (10th ed). Edinburgh: Pearson Educational Inc.

Li, W., & Irani, Z. (2019). Customization vs. Standardization in Student Information Systems: Balancing Efficiency and Personalization. Journal of Educational Administration, 42(4), 531-546.

Lim, W. M. (2018). Dialectic antidotes to critics of the technology acceptance model: Conceptual, methodological, and replication treatments for behavioural modelling in technology-mediated environments. Australasian Journal of Information Systems, 22.

Liu, C., Zhang, H., & Wang, J. (2021). Predictive Analytics in Student Information Systems: Applications and Challenges. Computers in Human Behavior, 110, 106412.

Liu, H., Lin, C.-H., & Zhang, D. (2017). Pedagogical beliefs and attitudes toward information and communication technology: A survey of teachers of English as a foreign language in China. Computer Assisted Language Learning, 30(8), 745- 765.

Mandinach, E. B., & Gummer, E. S. (2013). A systemic view of implementing data literacy in educator preparation. Educational Researcher, 42(1), 30-37. Means, B., Padilla, C., DeBarger, A., & Bakia, M. (2009). Implementing data informed decision making in schools: Teacher access, supports and use. US Department of Education.

Means, B., Toyama, Y., Murphy, R., Bakia, M., & Jones, K. (2009). Evaluation of evidence-based practices in online learning: A meta-analysis and review of online learning studies.

Mingaine, L. (2013). Leadership Challenges in the Implementation of ICT in Public Secondary Schools, Kenya. Journal of education and learning, 2(1), 32-43.

Ministry of Education, Ghana (2015), as available https://planipolis.iiep. unesco.org/sites/planipolis/files/ressources/ghana_ict_in_education_policy_ august_2015.pdf

Ministry of Education, Ghana (2018), as available at https://www. globalpartnership.org/sites/default/files/2019-05-education-strategic-plan-2018-203 0.pdf.

Ministry of Education. (2021) Implementation of Free SHS Programme and the Double Track System. Accra, Ghana: Ministry of Education (MoE).

Mtebe, J. S. & Raisano, R. (2014). Challenges and instructors intention to adopt and use open educational resources in higher education in Tanzania: The International Review of Research in Open and Distance Learning, 15(1).

Nair, S., & Salim, F. (2020). Cloud-Based Student Information Systems: Benefits and Challenges. Journal of Cloud Computing, 8(1), 1-18.

Natia, J., & Al-hassan, S. (2015). Promoting teaching and learning in Ghanaian Basic Schools through ICT. International Journal of Education and Development using ICT, 11(2).

New, J. (2016). Building a data-driven education system in the United States. Center for Data Innovation.

Patil, K. (2016, December). Retail adoption of Internet of Things: Applying TAM model. In 2016 International Conference on Computing, Analytics and Security Trends (CAST) (pp. 404-409). IEEE. (PDF) A Review of Technology Acceptance Models and Theories.

Rafique, H., Almagrabi, A. O., Shamim, A., Anwar, F., & Bashir, A. K. (2020). Investigating the acceptance of mobile library applications with an extended technology acceptance model (TAM). Computers & Education, 145, 103732.

Rauniar, R., Rawski, G., Yang, J., Johnson, B. (2014), “Technology acceptance model (TAM) and social media usage: an empirical study on Facebook”, Journal of Enterprise Information Management, Vol. 27, No 1, pp.6-30.

Schifter, C., Natarajan, U., Ketelhut, D. J., & Kirchgessner, A. (2014). Data driven decision-making: Facilitating teacher use of student data to inform classroom instruction. Contemporary Issues in Technology and Teacher Education, 14(4), 419-432.

Shah, M. (2014). Impact of management information systems (MIS) on school administration: What the literature says. Procedia-Social and Behavioral Sciences, 116, 2799-2804.

Shankar, V., Kalyanam, K., Setia, P., Golmohammadi, A., Tirunillai, S., Douglass, T., ... & Waddoups, R. (2021). How technology is changing retail. Journal of Retailing, 97(1), 13-27.

Siyam, N. (2019). Factors impacting special education teachers’ acceptance and actual use of technology. Education & Information Technologies, 24(3), 2035–2057.

Soedijono, B., & Nasiri, A. (2022). USE OF TAM FOR EVALUATION OF INTERNSHIP INFORMATION SYSTEM. Jurnal TAM (Technology Acceptance Model), 13(1), 44-50.

Starkie, B. (2013). Data sharing through parent portals: An exploration of parental motivation, data use, and the promise of prolonged parent involvement.

Tarhini, A., Arachchilage, N. A. G., & Abbasi, M. S. (2015). A critical review of theories and models of technology adoption and acceptance in information system research. International Journal of Technology Diffusion (IJTD), 6(4), 58-77.

Teeroovengadum, V., Heeraman, N., & Jugurnath, B. (2017). Examining the antecedents of ICT adoption in education using an extended technology acceptance model (TAM). International Journal of Education and Development Using ICT, 13(3) (PDF) A Review of Technology Acceptance Models and Theories.

Teo, T. & Schalk, P. (2009). “Understanding technology acceptance in pre-service teachers: A structural-equation modelling approach”. The Asia-Pacific Education Researcher, 18 (1), pp. 47-66.

Teo, T. (2006). Attitudes toward computers: A study of post-secondary students in Singapore. Interactive Learning Environments, 14(1), 17–24.

Teo, T. (2008). Pre-service teachers’ attitudes towards computer use: A Singapore survey. Australian Journal of Educational Technology, 24(4), 413 424.

Teo, T. (2009). modelling technology acceptance in education: A study of pre- service teachers. Computers & Education. 52(2009) 302-312.

Teo, T. (2011). Factors influencing teachers’ intention to use technology: Model development and test. Computers & Education, 57(4), 2432-2440

Thijs, J. & Eilbracht, L. (2012). Teachers’ Perceptions of Parent–Teacher Alliance and Student–Teacher Relational Conflict: Examining the Role of Ethnic Differences and ‘Disruptive’ Behavior. Psychology in the Schools, 49 (8): 794–808.

Thompshon, B., Mazer, J. P., & Grady, E. F. (2015). The Changing Nature of Parent-TeacherCommunication: Mode Selection in the Smartphone Era. Communication Education, 64(2), 187-207.

Ursavas, Ö. F., Şahin, S., & McIroy, D. (2014). Technology acceptance measure for teachers:T-Tam. Journal of Theory & Practice in Education (JTPE), 10(4), 885– 917.

Walker, J. M. T. & Legg, A. M. (2018). Parent-Teacher Conference Communication: A Guide toIntegrating Family Engagement Through Simulated Conversations about Student Academic Progress. Journal of Education for Teaching.

Wallace, L. G., & Sheetz, S. D. (2014). The adoption of software measures: A technology acceptance model (TAM) perspective. Information & Management, 51(2), 249-259.

Wayman, J. C., Stringfield, S., & Yakimowski, M. (2004). Software enabling school improvement through analysis of student data.

Wingo, N. P., Ivankova, N. V., & Moss, J. A. (2017). Faculty perceptions about teaching online: Exploring literature using the technology acceptance model as an organizing framework. Online Learning, 21(1), 15-35. (PDF) A Review of Technology AcceptanceModels and Theories.

Wong, T. W. et al. (2013). Understanding student teachers behavioural intention to use technology: Technology acceptance model (TAM) validation and testing. Vol.6, No.1. pp. 90-104.

Yang, H. L., & Cheng, H. H. (2010). Creativity of student information system projects: From the perspective of network embeddedness. Computers & Education, 54(1), 209-221.

Zhou, Y., Li, S. (2018), “Technology Adoption and Critical Mass: The Case of acceptance model in examining students' behavioural intention to use an e portfolio system. Australasian Journal of Educational Technology, 27(4).