Optimizing Human-AI Collaboration in Educational Administration in Muara Bungo, Jambi: An HRD Framework for Role Redefinition, Skill Development, and Change Management

Artificial Intelligence (AI) presents transformative potential for enhancing efficiency and effectiveness in educational administration. However, successful integration necessitates a strategic approach to managing the human element, including evolving roles, requisite skills, and organizational change. This study addressed the gap in targeted frameworks for optimizing human-AI collaboration within the specific context of educational administration in Muara Bungo, Jambi, Indonesia. A mixed-methods, quasi-experimental pre-post design was employed. Data were collected from 50 educational administrative staff in Muara Bungo using surveys assessing AI perceptions, skill readiness, and job satisfaction, alongside semi-structured interviews exploring experiences with role changes and change management. A bespoke Human Resource Development (HRD) framework, encompassing structured role redefinition workshops, targeted AI literacy and collaboration skill training modules, and a multi-faceted change management communication plan, was developed and implemented over six months. Quantitative data were analyzed using descriptive statistics and paired t-tests, while qualitative data underwent thematic analysis. Post-intervention, quantitative analysis revealed statistically significant improvements (p < 0.05) in participants' perceived usefulness of AI (t(49)=5.82), confidence in collaborating with AI tools (t(49)=6.15), and reported efficiency in administrative tasks (t(49)=4.98). Qualitative findings indicated that the HRD framework facilitated a clearer understanding of new roles, reduced initial anxiety towards AI, and highlighted the importance of ongoing support and transparent communication during the transition. In conclusion, the study demonstrated that a context-specific HRD framework integrating role redefinition, skill development, and change management can significantly enhance human-AI collaboration in educational administration. The findings underscore the necessity of proactive HRD interventions to equip staff, manage transitions effectively, and harness the synergistic potential of humans and AI in improving administrative functions within educational institutions in regions like Muara Bungo.

Authors

Institutions

Publication Details

Journal
Enigma in Education
Published
2024-11-13
DOI
https://doi.org/10.61996/edu.v2i2.85
Primary Topic
Engineering Education and Technology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimizing Human-AI Collaboration in Educational Administration in Muara Bungo, Jambi: An HRD Framework for Role Redefinition, Skill Development, and Change Management

Hamirul Hamirul, Syah Amin Albadry, Silvia Jessika, Ariyanto Masnun
Enigma in Education
Engineering Education and Technology
article

Optimizing Human-AI Collaboration in Educational Administration in Muara Bungo, Jambi: An HRD Framework for Role Redefinition, Skill Development, and Change Management

Hamirul Hamirul, Syah Amin Albadry, Silvia Jessika, Ariyanto Masnun
article en

Abstract

Artificial Intelligence (AI) presents transformative potential for enhancing efficiency and effectiveness in educational administration. However, successful integration necessitates a strategic approach to managing the human element, including evolving roles, requisite skills, and organizational change. This study addressed the gap in targeted frameworks for optimizing human-AI collaboration within the specific context of educational administration in Muara Bungo, Jambi, Indonesia. A mixed-methods, quasi-experimental pre-post design was employed. Data were collected from 50 educational administrative staff in Muara Bungo using surveys assessing AI perceptions, skill readiness, and job satisfaction, alongside semi-structured interviews exploring experiences with role changes and change management. A bespoke Human Resource Development (HRD) framework, encompassing structured role redefinition workshops, targeted AI literacy and collaboration skill training modules, and a multi-faceted change management communication plan, was developed and implemented over six months. Quantitative data were analyzed using descriptive statistics and paired t-tests, while qualitative data underwent thematic analysis. Post-intervention, quantitative analysis revealed statistically significant improvements (p < 0.05) in participants' perceived usefulness of AI (t(49)=5.82), confidence in collaborating with AI tools (t(49)=6.15), and reported efficiency in administrative tasks (t(49)=4.98). Qualitative findings indicated that the HRD framework facilitated a clearer understanding of new roles, reduced initial anxiety towards AI, and highlighted the importance of ongoing support and transparent communication during the transition. In conclusion, the study demonstrated that a context-specific HRD framework integrating role redefinition, skill development, and change management can significantly enhance human-AI collaboration in educational administration. The findings underscore the necessity of proactive HRD interventions to equip staff, manage transitions effectively, and harness the synergistic potential of humans and AI in improving administrative functions within educational institutions in regions like Muara Bungo.

Enigma in EducationVol. 2(2)
Universitas Sari Mutiara Indonesia (ID)
Openalex Percentile: Top 53%
Engineering Education and Technology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.