An Analysis of Information Technology-Based Educational Human Resource Development Strategies at the Higher Education Level

Authors

  • Jumaidi Nur Universitas Kutai Kartanegara, Indonesia
  • Marrieta Moddies Swara Universitas Islam Syekh-Yusuf, Indonesia
  • Tugiman Universitas Medika Suherman, Indonesia
  • Ida Farida STIE Trisakti, Indonesia
  • Sri Utami Universitas Kutai Kartanegara, Indonesia

DOI:

https://doi.org/10.25217/ji.v8i1.2676

Abstract

This qualitative study aimed to analyze information technology-based educational human resource development strategies at the higher education level at Kutai Kartanegara University. The study utilized an exploratory and descriptive research design, employing interviews and document analysis as data collection methods. The participants included vital administrators, faculty members, and students from various departments within the university. The findings revealed that information technology was crucial in shaping educational human resource development strategies at Kutai Kartanegara University. The university has implemented various IT-based initiatives to enhance teaching and learning experiences, improve administrative processes, and foster professional development among faculty members. Regarding teaching and learning, the university has integrated various IT tools and platforms into the curriculum, such as learning management systems, multimedia resources, and virtual classrooms. These initiatives provided students with flexible learning opportunities, interactive course materials, and collaborative spaces for knowledge exchange. Moreover, the university has implemented IT-based professional development programs for faculty members, including training workshops, online resources, and communities of practice. The findings provide valuable insights for educational institutions seeking to leverage IT to enhance their human resource development strategies at the higher education level.

Keywords: Educational Human Resource Development, Educational Human Resource Strategy, Technology-Based Education

References

Alavi, M., Yoo, Y., & Vogel, D. R. (1997). Using Information Technology to Add Value to Management Education. Academy of Management Journal, 40(6), 1310–1333. https://doi.org/10.5465/257035

Al-Fedaghi, S., & Al-Otaibi, M. (2019). Service-Oriented Systems as A Thining Machine: A Case Study of Customer Relationship Management. 2019 IEEE 2nd International Conference on Information and Computer Technologies (ICICT), 235–242. https://doi.org/10.1109/INFOCT.2019.8710891

Al-Fudail, M., & Mellar, H. (2008). Investigating teacher stress when using technology. Computers & Education, 51(3), 1103–1110. https://doi.org/10.1016/j.compedu.2007.11.004

Al-Hujran, O., Al-Lozi, E. M., Al-Debei, M. M., & Maqableh, M. (2018). Challenges of Cloud Computing Adoption From the TOE Framework Perspective. International Journal of E-Business Research (IJEBR), 14(3), Article 3. https://doi.org/10.4018/IJEBR.2018070105

Ali, W. (2020). Online and Remote Learning in Higher Education Institutes: A Necessity in Light of COVID-19 Pandemic. Higher Education Studies, 10(3), 16–25.

Aparicio, J., López-Torres, L., & Santín, D. (2018). Economic crisis and public education. A productivity analysis using a Hicks-Moorsteen index. Economic Modelling, 71, 34–44. https://doi.org/10.1016/j.econmod.2017.11.017

Archambault, I., Janosz, M., Morizot, J., & Pagani, L. (2009). Adolescent Behavioral, Affective, and Cognitive Engagement in School: Relationship to Dropout. Journal of School Health, 79(9), 408–415. https://doi.org/10.1111/j.1746-1561.2009.00428.x

Balica, R.-Ş., Majerová, J., & Cuţitoi, A.-C. (2022a). Metaverse applications, technologies, and infrastructure: Predictive algorithms, real-time customer data analytics, and virtual navigation tools. Linguistic and Philosophical Investigations, 21, 219–235.

Balica, R.-Ş., Majerová, J., & Cuţitoi, A.-C. (2022b). Metaverse applications, technologies, and infrastructure: Predictive algorithms, real-time customer data analytics, and virtual navigation tools. Linguistic and Philosophical Investigations, 21, 219–235.

Barendsen, E., Mannila, L., Demo, B., Grgurina, N., Izu, C., Mirolo, C., Sentance, S., Settle, A., & Stupurienė, G. (2015). Concepts in K-9 Computer Science Education. Proceedings of the 2015 ITiCSE on Working Group Reports, 85–116. https://doi.org/10.1145/2858796.2858800

Blundell, C. N., Mukherjee, M., & Nykvist, S. (2022). A scoping review of the application of the SAMR model in research. Computers and Education Open, 3, 100093. https://doi.org/10.1016/j.caeo.2022.100093

Braun, V., & Clarke, V. (2019). Reflecting on reflexive thematic analysis. Qualitative Research in Sport, Exercise and Health, 11(4), 589–597. https://doi.org/10.1080/2159676X.2019.1628806

Braun, V., & Clarke, V. (2021). To saturate or not to saturate? Questioning data saturation as a useful concept for thematic analysis and sample-size rationales. Qualitative Research in Sport, Exercise and Health, 13(2), 201–216. https://doi.org/10.1080/2159676X.2019.1704846

Daniel, B. (2015). Big Data and analytics in higher education: Opportunities and challenges. British Journal of Educational Technology, 46(5), 904–920. https://doi.org/10.1111/bjet.12230

Darling-Hammond, L., Hyler, M. E., & Gardner, M. (2017). Effective teacher professional development.

Darmawan, D. (2020). The Quality of Human Resources, Job Performance and Employee Loyalty. International Journal of Psychosocial Rehabilitation, 24, 2580–2592. https://doi.org/10.37200/IJPR/V24I3/PR201903

Davis, A. P., Hunt, W. F., Traver, R. G., & Clar, M. (2009). Bioretention Technology: Overview of Current Practice and Future Needs. Journal of Environmental Engineering, 135(3), 109–117. https://doi.org/10.1061/(ASCE)0733-9372(2009)135:3(109)

Del Giudice, M., & Della Peruta, M. R. (2016). The impact of IT-based knowledge management systems on internal venturing and innovation: A structural equation modeling approach to corporate performance. Journal of Knowledge Management, 20(3), 484–498. https://doi.org/10.1108/JKM-07-2015-0257

Denzin, N. K., & Lincoln, Y. S. (2008). Introduction: The discipline and practice of qualitative research. Dalam Strategies of qualitative inquiry, 3rd ed (hlm. 1–43). Sage Publications, Inc.

Dillenbourg, P. (1999). Collaborative Learning: Cognitive and Computational Approaches. Advances in Learning and Instruction Series. Elsevier Science, Inc.

Ertmer, P. A., Ottenbreit-Leftwich, A. T., Sadik, O., Sendurur, E., & Sendurur, P. (2012). Teacher beliefs and technology integration practices: A critical relationship. Computers & Education, 59(2), 423–435. https://doi.org/10.1016/j.compedu.2012.02.001

Eynon, R. (2013). The rise of Big Data: What does it mean for education, technology, and media research? Learning, Media and Technology, 38(3), 237–240. https://doi.org/10.1080/17439884.2013.771783

Faizah, H. N., Suwandi, S., & Pratama, H. (2022). EFL Students’ Perception of Interaction in Online Learning Practices. LINGUA : Jurnal Bahasa, Sastra, Dan Pengajarannya, 19(2), Article 2. https://doi.org/10.30957/lingua.v19i2.768

Gikandi, J. W., Morrow, D., & Davis, N. E. (2011). Online formative assessment in higher education: A review of the literature. Computers & Education, 57(4), 2333–2351. https://doi.org/10.1016/j.compedu.2011.06.004

Graham, C. R., Borup, J., Pulham, E., & Larsen, R. (2019). K–12 Blended Teaching Readiness: Model and Instrument Development. Journal of Research on Technology in Education, 51(3), 239–258. https://doi.org/10.1080/15391523.2019.1586601

Harrison-Bernard, L. M., Augustus-Wallace, A. C., Souza-Smith, F. M., Tsien, F., Casey, G. P., & Gunaldo, T. P. (2020). Knowledge gains in a professional development workshop on diversity, equity, inclusion, and implicit bias in academia. Advances in Physiology Education, 44(3), 286–294. https://doi.org/10.1152/advan.00164.2019

Hendriarto, P., Mursidi, A., Kalbuana, N., Aini, N., & Aslan, A. (2021). Understanding the Implications of Research Skills Development Framework for Indonesian Academic Outcomes Improvement. Jurnal Iqra’ : Kajian Ilmu Pendidikan, 6(2), Article 2. https://doi.org/10.25217/ji.v6i2.1405

Hew, K. F., & Cheung, W. S. (2013). Use of Web 2.0 technologies in K-12 and higher education: The search for evidence-based practice. Educational Research Review, 9, 47–64. https://doi.org/10.1016/j.edurev.2012.08.001

Johnson, D. W., Johnson, R. T., & Smith, K. A. (2014). Cooperative learning: Improving university instruction by basing practice on validated theory. Journal on Excellence in University Teaching, 25(4), 1–26.

Khan, S. A. R., Yu, Z., Belhadi, A., & Mardani, A. (2020). Investigating the effects of renewable energy on international trade and environmental quality. Journal of Environmental Management, 272, 111089. https://doi.org/10.1016/j.jenvman.2020.111089

Kimmons, R., & Hall, C. (2018). How Useful are our Models? Pre-Service and Practicing Teacher Evaluations of Technology Integration Models. TechTrends, 62(1), 29–36. https://doi.org/10.1007/s11528-017-0227-8

Means, B., Toyama, Y., Murphy, R., Bakia, M., & Jones, K. (2010). Evaluation of evidence-based practices in online learning: A meta-analysis and review of online learning studies center for technology in learning. United States Department of Education. www. ed. gov/about/offices/list/opepd ….

Merriam, S. B., & Tisdell, E. J. (2015). Qualitative Research: A Guide to Design and Implementation. John Wiley & Sons.

Mishra, P., & Koehler, M. J. (2006). Technological Pedagogical Content Knowledge: A Framework for Teacher Knowledge. Teachers College Record, 108(6), 1017–1054. https://doi.org/10.1111/j.1467-9620.2006.00684.x

Natow, R. S. (2020). The use of triangulation in qualitative studies employing elite interviews. Qualitative Research, 20(2), 160–173. https://doi.org/10.1177/1468794119830077

Porter, W. W., Graham, C. R., Spring, K. A., & Welch, K. R. (2014). Blended learning in higher education: Institutional adoption and implementation. Computers & Education, 75, 185–195. https://doi.org/10.1016/j.compedu.2014.02.011

Putra, P. & Aslan. (2020). Pengembangan bahan ajar berbasis imtaq dan iptek di era revolusi industri 4.0 pada mata pelajaran sains madrasah ibtidaiyah. Ta`Limuna: Jurnal Pendidikan Islam, 9(1), Article 1. https://doi.org/10.32478/talimuna.v9i1.345

Putra, P., Mizani, H., Basir, A., Muflihin, A., & Aslan, A. (2020). The Relevancy on Education Release Revolution 4.0 in Islamic Basic Education Perspective in Indonesia (An Analysis Study of Paulo Freire’s Thought). Test Engineering & Management, 83, 10256–10263.

Qazi, W., Qureshi, J. A., Raza, S. A., Khan, K. A., & Qureshi, M. A. (2020). Impact of personality traits and university green entrepreneurial support on students’ green entrepreneurial intentions: The moderating role of environmental values. Journal of Applied Research in Higher Education, 13(4), 1154–1180. https://doi.org/10.1108/JARHE-05-2020-0130

Rosenbusch, K. (2020). Technology intervention: Rethinking the role of education and faculty in the transformative digital environment. Advances in Developing Human Resources, 22(1), 87–101.

Saleem, S., & Amin, S. (2013). The impact of organizational support for career development and supervisory support on employee performance: An empirical study from Pakistani academic sector. European Journal of Business and Management, 5(5), 194–207.

Selwyn, N., & Facer, K. (2013). The Politics of Education and Technology: Conflicts, Controversies, and Connections. Springer.

Shalaby, T. A., Bayoumi, Y., Eid, Y., Elbasiouny, H., Elbehiry, F., Prokisch, J., El-Ramady, H., & Ling, W. (2022). Can Nanofertilizers Mitigate Multiple Environmental Stresses for Higher Crop Productivity? Sustainability, 14(6), Article 6. https://doi.org/10.3390/su14063480

Silva, P. (2015). Davis’ Technology Acceptance Model (TAM) (1989). Dalam Information Seeking Behavior and Technology Adoption: Theories and Trends (hlm. 205–219). IGI Global. https://doi.org/10.4018/978-1-4666-8156-9.ch013

Sitzmann, T. (2011). A Meta-Analytic Examination of the Instructional Effectiveness of Computer-Based Simulation Games. Personnel Psychology, 64(2), 489–528. https://doi.org/10.1111/j.1744-6570.2011.01190.x

Smith, B. E., Pacheco, M. B., & Khorosheva, M. (2021a). Emergent Bilingual Students and Digital Multimodal Composition: A Systematic Review of Research in Secondary Classrooms. Reading Research Quarterly, 56(1), Article 1. https://doi.org/10.1002/rrq.298

Smith, B. E., Pacheco, M. B., & Khorosheva, M. (2021b). Emergent Bilingual Students and Digital Multimodal Composition: A Systematic Review of Research in Secondary Classrooms. Reading Research Quarterly, 56(1), 33–52. https://doi.org/10.1002/rrq.298

Sun, Y., & Li, S. (2021). A systematic review of the research framework and evolution of smart homes based on the internet of things. Telecommunication Systems, 77(3), 597–623. https://doi.org/10.1007/s11235-021-00787-w

Tamim, R. M., Bernard, R. M., Borokhovski, E., Abrami, P. C., & Schmid, R. F. (2011). What Forty Years of Research Says About the Impact of Technology on Learning: A Second-Order Meta-Analysis and Validation Study. Review of Educational Research, 81(1), 4–28. https://doi.org/10.3102/0034654310393361

Tondeur, J., van Braak, J., Ertmer, P. A., & Ottenbreit-Leftwich, A. (2017). Understanding the relationship between teachers’ pedagogical beliefs and technology use in education: A systematic review of qualitative evidence. Educational Technology Research and Development, 65(3), 555–575. https://doi.org/10.1007/s11423-016-9481-2

Tondeur, J., van Braak, J., Sang, G., Voogt, J., Fisser, P., & Ottenbreit-Leftwich, A. (2012). Preparing pre-service teachers to integrate technology in education: A synthesis of qualitative evidence. Computers & Education, 59(1), 134–144. https://doi.org/10.1016/j.compedu.2011.10.009

Trust, T., Krutka, D. G., & Carpenter, J. P. (2016). “Together we are better”: Professional learning networks for teachers. Computers & Education, 102, 15–34. https://doi.org/10.1016/j.compedu.2016.06.007

Wang, J., Shen, J., Ye, D., Yan, X., Zhang, Y., Yang, W., Li, X., Wang, J., Zhang, L., & Pan, L. (2020). Disinfection technology of hospital wastes and wastewater: Suggestions for disinfection strategy during coronavirus Disease 2019 (COVID-19) pandemic in China. Environmental Pollution, 262, 114665. https://doi.org/10.1016/j.envpol.2020.114665

Warschauer, M., & Grimes, D. (2007). Audience, authorship, and artifact: the emergent semiotics of web 2.0. Annual Review of Applied Linguistics, 27, 1–23. https://doi.org/10.1017/S0267190508070013

Wiliam, D. (2011). What is assessment for learning? Studies in Educational Evaluation, 37(1), 3–14. https://doi.org/10.1016/j.stueduc.2011.03.001

You, X., Wang, C.-X., Huang, J., Gao, X., Zhang, Z., Wang, M., Huang, Y., Zhang, C., Jiang, Y., Wang, J., Zhu, M., Sheng, B., Wang, D., Pan, Z., Zhu, P., Yang, Y., Liu, Z., Zhang, P., Tao, X., … Liang, Y.-C. (2020). Towards 6G wireless communication networks: Vision, enabling technologies, and new paradigm shifts. Science China Information Sciences, 64(1), 110301. https://doi.org/10.1007/s11432-020-2955-6

Zadeh, A., Zolbanin, H., Sengupta, A., & Schultz, T. (2020). Enhancing ERP Learning Outcomes through Microsoft Dynamics. Journal of Information Systems Education, 31(2), 83–95.

Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education – where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 39. https://doi.org/10.1186/s41239-019-0171-0

Zha, Q. (2009). Diversification or Homogenization in Higher Education: A Global Allomorphism Perspective. Higher Education in Europe, 34(3–4), 459–479. https://doi.org/10.1080/03797720903356628

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Published

2023-06-09

How to Cite

Jumaidi Nur, Marrieta Moddies Swara, Tugiman, Ida Farida, & Sri Utami. (2023). An Analysis of Information Technology-Based Educational Human Resource Development Strategies at the Higher Education Level. Jurnal Iqra’ : Kajian Ilmu Pendidikan, 8(1), 280–298. https://doi.org/10.25217/ji.v8i1.2676