Exploring Academic Operations: A Focus on the Implementation of Class Record Optimization and Automation System (CROAS)

Authors

  • Aljay Marc Patiam Romblon State University, Liwanag, Odiongan and 3305, Philippines

Keywords:

Class Record Optimization and Automation System, Educational Technology, Administrative Efficiency, Teacher Workload, Academic Operations

Abstract

This research analyzes the impact of the Class Record Optimization and Automation System (C.R.O.A.S.) on administrative efficiency and educational delivery at the Laboratory Science High School of Romblon State University. The present study applied a mixed-methods approach, using quantitative surveys and qualitative interviews with teachers and administrators to determine how C.R.O.A.S. affects teachers' workloads, time allocation, class record management, and overall educational processes. Moreover, the study investigated the role of leadership strategies in successfully implementing C.R.O.A.S. The results imply that inclusive decision-making and strategic planning are critical strategies for the system's effectiveness. Recommendations for future practice include ongoing support for system improvements, continued research, and international sharing and benchmarking findings to broaden educational technology integration efforts.

References

. H. Abuhassna, N. Yahaya, M. A. Z. M. Zakaria, N. M. Zaid, N. A. Samah, F. Awae, C. K. Nee, and A. H. Alsharif, "Trends on Using the Technology Acceptance Model (T.A.M.) for Online Learning: A Bibliometric and Content Analysis," International Journal of Information and Education Technology, vol. 13, no. 1, pp. 131–142, 2023. doi: 10.18178/ijiet.2023.13.1.1788.

. F. Abu, A. Yunus, I. A. Majid, J. Jabar, A. Aris, H. Sakidin, and A. Ahmad, "TECHNOLOGY ACCEPTANCE MODEL (T.A.M.): EMPOWERING SMART CUSTOMER TO PARTICIPATE IN ELECTRICITY SUPPLY SYSTEM," 2014. [Online]. Available: https://eprints.utem.edu.my/id/eprint/12984/1/J3.pdf.

. I. J. Akpan, E. Udoh, and B. Adebisi, "Small business awareness, adoption of state-of-the-art technologies in emerging and developing markets, and lessons from the COVID-19 pandemic," Journal of Small Business & Entrepreneurship, vol. 34, no. 2, pp. 123–140, 2020. doi: 10.1080/08276331.2020.1820185.

. A. Alomary and J. Woollard, "How do users accept technology? A review of technology acceptance models and theories," 2015. [Online]. Available: https://eprints.soton.ac.uk/382037/1/110-14486008271-4.pdf.

. S. Atalla, M. Daradkeh, A. Gawanmeh, H. Khalil, W. Mansoor, S. Miniaoui, and Y. Himeur, "An intelligent recommendation system for automating academic advising based on curriculum analysis and performance modeling," Mathematics, vol. 11, no. 5, p. 1098, 2023. doi: 10.3390/math11051098.

. A. Bonifacio, "Developing Information Communication Technology (I.C.T.) Curriculum Standards for K-12 Schools in the Philippines," 2013. [Online]. Available: https://linc.mit.edu/linc2013/proceedings/Session7/Session7Bonifacio.pdf.

. C. L. Borgman, "AUTOMATION IS THE ANSWER, BUT WHAT IS THE QUESTION? PROGRESS AND PROSPECTS FOR CENTRAL AND EASTERN EUROPEAN LIBRARIES," Journal of Documentation, vol. 52, no. 3, pp. 252–295, 1996. doi: 10.1108/eb026969.

. H. Brighton and C. Mellish, "Advances in Instance Selection for Instance-Based Learning Algorithms," Data Mining and Knowledge Discovery, vol. 6, no. 2, pp. 153–172, 2002. doi: 10.1023/a:1014043630878.

. L. Bull, "Applications of learning classifier systems," in Studies in fuzziness and soft computing, 2004. doi: 10.1007/978-3-540-39925-4.

. M. S. Chhonkera, D. Verma, and A. K. Kar, "Information Technology and Quantitative Management (I.T.Q.M. 2017) Review of Technology Adoption Frameworks in Mobile Commerce," 2018.

. M. Chouki, M. Talea, C. Okar, and R. Chroqui, "Barriers to information Technology adoption within Small and Medium Enterprises: A Systematic Literature review," International Journal of Innovation and Technology Management, vol. 17, no. 01, 2020. doi: 10.1142/s0219877020500078.

. S. Criollo-C, A. Guerrero-Arias, Á. Jaramillo-Alcázar, and S. Luján-Mora, "Mobile learning Technologies for Education: Benefits and pending issues," Applied Sciences, vol. 11, no. 9, p. 4111, 2021. doi: 10.3390/app11094111.

. N. Delavari, M. R. A. Shirazi, and Beikzadeh, "A new model for using data mining technology in higher educational systems," Information Technology Based Proceedings of the Fifth International Conference on Higher Education and Training, 2004. I.T.H.E.T. 2004, 2004. doi: 10.1109/ithet.2004.1358187.

. T. Dube, R. Van Eck, and T. Zuva, "Review of technology adoption models and theories to measure readiness and acceptable use of technology in a business organization," Journal of Information Technology and Digital World, vol. 02, no. 04, pp. 207–212, 2020. doi: 10.36548/jitdw.2020.4.003.

. M. Elhoseny, N. Metawa, and A. E. Hassanien, "An automated information system to ensure quality in higher education institutions," International Computer Engineering Conference, 2016. doi: 10.1109/icenco.2016.7856468.

. A. A. Eludire and I. Arakeji, "The Design and Implementation of Student Academic Record Management System," 2011. [Online]. Available: https://maxwellsci.com/print/rjaset/v3-707-712.pdf.

. M. Escueta, A. Nickow, P. Oreopoulos, and V. Quan, "Upgrading Education with Technology: Insights from Experimental Research," Journal of Economic Literature, vol. 58, no. 4, pp. 897–996, 2020. doi: 10.1257/jel.20191507.

. M. Falco, E. Scott, and G. Robiolo, "Overview of an automated framework to measure and track the quality level of a product," 2020 IEEE Congreso Bienal De Argentina (ARGENCON), 2020. doi: 10.1109/argencon49523.2020.9505405.

. G. C. Feng, X. Su, Z. C. Lin, Y. He, N. Luo, and Y. Zhang, "Determinants of Technology Acceptance: Two Model-Based Meta-Analytic Reviews," Journalism & Mass Communication Quarterly, vol. 98, no. 1, pp. 83–104, 2020. doi: 10.1177/1077699020952400.

. V. R. Foronda, "Integrating Information and Communication Technology into Education: A Study of the iSchools Project in Camarines Sur, Philippines," Journal of Developments in Sustainable Agriculture, vol. 6, no. 1, pp. 101–113, 2011. doi: 10.11178/jdsa.6.101.

. A. D. Foster and M. R. Rosenzweig, "Microeconomics of technology adoption," Annual Review of Economics, vol. 2, no. 1, pp. 395–424, 2010. doi: 10.1146/annurev.economics.102308.124433.

. A. Galvis, "Information and communication technologies for education in developing countries," International Conference on Information Technology, 2003. doi: 10.1109/itre.2003.1270673.

. H. Gangwar, H. Date, and A. Raoot, "Review on I.T. adoption: insights from recent technologies," Journal of Enterprise Information Management, vol. 27, no. 4, pp. 488–502, 2014. doi: 10.1108/jeim-08-2012-0047.

. M. Ghobakhloo, M. Iranmanesh, M. Vilkas, A. Grybauskas, and A. Amran, "Drivers and barriers of Industry 4.0 technology adoption among manufacturing S.M.E.s: a systematic review and transformation roadmap," Journal of Manufacturing Technology Management, vol. 33, no. 6, pp. 1029–1058, 2022. doi: 10.1108/jmtm-12-2021-0505.

. D. Glover, J. Sumberg, G. Ton, J. Andersson, and L. Badstue, "Rethinking technological change in smallholder agriculture," Outlook on Agriculture, vol. 48, no. 3, pp. 169–180, 2019. doi: 10.1177/0030727019864978.

. L. Graf?Vlachy, K. Buhtz, and A. König, "Social influence in technology adoption: taking stock and moving forward," Management Review Quarterly, vol. 68, no. 1, pp. 37–76, 2018. doi: 10.1007/s11301-017-0133-3.

. A. Grani? and N. Maranguni?, "Technology acceptance model in educational context: A systematic literature review," British Journal of Educational Technology, vol. 50, no. 5, pp. 2572–2593, 2019. doi: 10.1111/bjet.12864.

. N. Gupta, A. R. Fischer, and L. J. Frewer, "Socio-psychological determinants of public acceptance of technologies: A review," Public Understanding of Science, vol. 21, no. 7, pp. 782–795, 2011. doi: 10.1177/0963662510392485.

. R. Gupta, "Automating business processes," in Apress eBooks, pp. 145–188, 2019. doi: 10.1007/978-1-4842-5479-0_6.

. S. Guericke, "A Framework for Mathematical Optimization in Microservice Architectures," 2019. [Online]. Available: https://optimization-online.org/2019/11/7462/.

. E. A. Hajri, F. Hafeez, and N. A. A., "Fully Automated classroom attendance system," International Journal of Interactive Mobile Technologies, vol. 13, no. 08, p. 95, 2019. doi: 10.3991/ijim.v13i08.10100.

. H. Hashim, "Application of technology in the digital era education," International Journal of Research in Counseling and Education, vol. 1, no. 2, p. 1, 2018. doi: 10.24036/002za0002.

. D. M. Holt, M. F. Rice, I. Smissen, and J. Bowly, "Towards institution-wide online teaching and learning systems: trends, drivers, and issues," 2001. [Online]. Available: https://www.ascilite.org/conferences/melbourne01/pdf/papers/holtd.pdf.

. E. Hoti, "The technological, organizational, and environmental framework of I.S. innovation adaption in small and medium enterprises. Evidence from research over the last ten years," International Journal of Business and Management, vol. III, no. 4, pp. 1–14, 2015. doi: 10.20472/bm.2015.3.4.001.

. M. Huda, "Empowering application strategy in the technology adoption," Journal of Science & Technology Policy Management, vol. 10, no. 1, pp. 172–192, 2019. doi: 10.1108/jstpm-09-2017-0044.

. N. Iyer, N. Virani, Z. Yang, and A. Saxena, "Mixed-Initiative Approach for Reliable Tagging of Maintenance Records with Machine Learning," Proceedings of the Annual Conference of the Prognostics and Health Management Society, vol. 14, no. 1, 2022. doi: 10.36001/phmconf.2022.v14i1.3159.

. C. Jack and S. Higgins, "Embedding educational technologies in early years education," Research in Learning Technology, vol. 27, 2019. doi: 10.25304/rlt.v27.2033.

. M. Janssen, V. Weerakkody, E. Ismagilova, U. Sivarajah, and Z. Irani, "A framework for analyzing blockchain technology adoption: Integrating institutional, market and technical factors," International Journal of Information Management, vol. 50, pp. 302–309, 2020. doi: 10.1016/j.ijinfomgt.2019.08.012.

. M. Javaheripi, M. Samragh, and F. Koushanfar, "Peeking into the Black Box: A tutorial on automated design optimization and parameter search," IEEE Solid-State Circuits Magazine, vol. 11, no. 4, pp. 23–28, 2019. doi: 10.1109/mssc.2019.2939336.

. N. V. Joy, C. college, and M. Sreelakshmi, "Robotic Process Automation Role in Education Field," International Journal of Engineering Research and Technology, vol. 8, 2020. [Online]. Available: https://www.ijert.org/research/robotic-process-automation-role-in-education-field-IJERTCONV8IS04016.pdf.

. J. Kasozi and P. Lugemwa, "ENHANCING QUALITY OF UNIVERSITY RECORDS MANAGEMENT USING MULTI-TIER INTEGRATED MANAGEMENT SYSTEM," 2020. [Online]. Available: http://www.journals.spu.ac.ke/index.php/test/article/download/125/109.

. S. Kotsiantis, K. Patriarcheas, and M. Xenos, "A combinational incremental ensemble of classifiers as a technique for predicting students’ performance in distance education," Knowledge-Based Systems, vol. 23, no. 6, pp. 529–535, 2010. doi: 10.1016/j.knosys.2010.03.010.

. T. Kraska, "Towards instance-optimized data systems," Proceedings of the V.L.D.B. Endowment, vol. 14, no. 12, pp. 3222–3232, 2021. doi: 10.14778/3476311.3476392.

. S. Kulviwat, G. C. Bruner, and O. Al?Shuridah, "The role of social influence on adopting high tech innovations: The moderating effect of public/private consumption," Journal of Business Research, vol. 62, no. 7, pp. 706–712, 2009. doi: 10.1016/j.jbusres.2007.04.014.

. S. Kumargazhanova, L. Suleimenova, Y. Fedkin, and A. Urkumbaeva, "Development and implementation of an automation algorithm for university class scheduling," 2019 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON), 2019. doi: 10.1109/sibircon48586.2019.8958249.

. J. W. M. Lai and M. Bower, "How is the use of technology in education evaluated? A systematic review," Computers & Education, vol. 133, pp. 27–42, 2019. doi: 10.1016/j.compedu.2019.01.010.

. C. Lee and J. F. Coughlin, "PERSPECTIVE: Older Adults’ adoption of Technology: an integrated approach to identifying determinants and barriers," Journal of Product Innovation Management, vol. 32, no. 5, pp. 747–759, 2014. doi: 10.1111/jpim.12176.

. C. Lin, H. Shih, and P. J. Sher, "Integrating technology readiness into technology acceptance: The TRAM model," Psychology & Marketing, vol. 24, no. 7, pp. 641–657, 2007. doi: 10.1002/mar.20177.

. Q. Liu, S. Geertshuis, and R. Grainger, "Understanding academics’ adoption of learning technologies: A systematic review," Computers & Education, vol. 151, p. 103857, 2020. doi: 10.1016/j.compedu.2020.103857.

. N. Murali and R. Krishnakumar, "Identifying key barriers to successful technology adoption," in Advances in Business Strategy and Competitive Advantage book series, pp. 52–67, 2020. doi: 10.4018/978-1-7998-3351-2.ch004.

. R. E. Padilla-Vega, C. Sénquiz-Díaz, and A. Ojeda, "Toward A Conceptual Framework Of Technology Adoption: Factors Impacting The Acceptance Of Mobile Technology In International Business Growth," International Journal of Scientific & Technology Research, vol. 06, pp. 81-86, 2017.

. A. Pishdad, A. Koronios, B. H. Reich, and G. Geursen, "Identifying Gaps in Institutional Theory," 2014. [Online]. Available: http://aut.researchgateway.ac.nz/bitstream/handle/10292/8141/acis20140_submission_125.pdf;sequence=1.

. B. Rahimi, H. Nadri, H. L. Afshar, and T. Timpka, "A Systematic Review of the Technology Acceptance Model in Health Informatics," Applied Clinical Informatics, vol. 09, no. 03, pp. 604–634, 2018. doi: 10.1055/s-0038-1668091.

. J. Rajapakse, "We are extending the unified theory of acceptance and use of technology (U.T.A.U.T.) model," The 4th International Conference on Interaction Sciences, pp. 47-52, 2011. doi: 10.1109/icis.2011.6014530.

. N. Roxana and MOS¸TEANU, "Machine Learning and Robotic Process Automation Take Higher Education One Step Further," Romanian Journal of Information Science and Technology, vol. 25, 2022. [Online]. Available: https://romjist.ro/full-texts/paper709.pdf.

. S. A. Salloum, A. AlHamad, M. Al-Emran, A. A. Monem, and K. Shaalan, "Exploring students' acceptance of E-Learning through developing a comprehensive technology acceptance model," IEEE Access, vol. 7, pp. 128445–128462, 2019. doi: 10.1109/access.2019.2939467.

. R. Scherer, F. Siddiq, and J. Tondeur, "The technology acceptance model (T.A.M.): A meta-analytic structural equation modeling approach to explaining teachers' adoption of digital technology in education," Computers & Education, vol. 128, pp. 13–35, 2019. doi: 10.1016/j.compedu.2018.09.009.

. M. A. Serhani, S. Bouktif, N. Al-Qirim, and H. T. E. Kassabi, "Automated system for evaluating higher education programs," Education and Information Technologies, vol. 24, no. 5, pp. 3107–3128, 2019. doi: 10.1007/s10639-019-09910-6.

. A. A. Taiwo and A. G. Downe, "THE THEORY OF USER ACCEPTANCE AND USE OF TECHNOLOGY (U.T.A.U.T.): A META-ANALYTIC REVIEW OF EMPIRICAL FINDINGS," Journal of Theoretical and Applied Information Technology, vol. 49, no. 1, 2013. [Online]. Available: https://www.jatit.org/volumes/Vol49No1/7Vol49No1.pdf.

. H. Taherdoost, "A review of technology acceptance and adoption models and theories," Procedia Manufacturing, vol. 22, pp. 960–967, 2018. doi: 10.1016/j.promfg.2018.03.137.

Downloads

Published

2024-06-23

How to Cite

Aljay Marc Patiam. (2024). Exploring Academic Operations: A Focus on the Implementation of Class Record Optimization and Automation System (CROAS). International Journal of Sciences: Basic and Applied Research (IJSBAR), 73(1), 259–274. Retrieved from https://gssrr.org/index.php/JournalOfBasicAndApplied/article/view/16695

Issue

Section

Articles