2015年-世界发展银行全球_Papua_New_Guinea_Education_Management_Information_System___SABER_Country_Report_2015_29页_1mb

Papua New Guinea SABER-EMIS Country Report Summary (2015)

Core Content

The SABER-EMIS Country Report for Papua New Guinea (PNG) evaluates the status of the Education Management Information System (EMIS) in the country, focusing on four key policy areas: Enabling Environment, System Soundness, Quality Data, and Utilization for Decision Making. The report outlines the successes, challenges, and recommendations for strengthening EMIS in PNG.

Main Policy Areas and Key Findings

1. Enabling Environment

• Status: Emerging
• Overview: The enabling environment for EMIS in PNG is defined by the legal framework, organizational structure, human resources, infrastructural capacity, budget, and data-driven culture.
• Key Policies:
  • Achieving a Better Future: A National Plan for Education 2005-2014 (NEP 2005-14)
  • ICT Policy
  • Universal Basic Education Plan 2010-2019 (UBE 2010-19)
• Strengths:
  • NEP 2005-14 provides a roadmap for data collection and management.
  • The ICT Policy supports EMIS by defining technical areas and guidelines.
  • The UBE 2010-19 and TFF policy have increased enrollment and data reporting.
• Challenges:
  • No comprehensive EMIS policy or budget exists.
  • Lack of procedures for data confidentiality and sharing.
  • No requirement for data to be reported back to local levels.
  • Limited data-driven culture and training for stakeholders.

2. System Soundness

• Status: Emerging
• Overview: System soundness refers to the technical and organizational structure of EMIS, including data architecture, coverage, analytics, and serviceability.
• Infrastructure:
  • EMIS was launched in 2004-2005 using Microsoft Excel and Access.
  • Transitioned to Oracle Application Express in 2005-2006.
  • Currently hosts two physical servers with 27 virtual servers and 6 terabytes of storage.
  • Data center speed is 200 Mbps with a secondary link at 100 Mbps.
• Data Collection:
  • Annual paper-based census collects data from schools to the national level.
  • A pilot program in six provinces allows digital data input and real-time access.
• Challenges:
  • Limited funding hampers system development and upgrades.
  • Oracle Discoverer is being replaced by Oracle BI, but the transition is not yet complete.
  • Data validation is currently manual and not fully automated.
  • Data sharing with other government units is not clearly defined.

3. Quality Data

• Status: Emerging
• Overview: Quality data ensure accuracy, reliability, and timeliness in data collection, processing, and use.
• Data Validation:
  • Systematic validation is conducted at provincial and district levels.
  • Automated validation processes were introduced in 2015.
• Data Dissemination:
  • EMIS data are accessible via the DoE website and a dashboard.
  • Data are disseminated within 6–12 months after the start of the next school year.
• Challenges:
  • Data accuracy declines in rural areas due to limited resources and infrastructure.
  • Validation processes are not standardized and rely heavily on manual checks.
  • The 2015 census was delayed, potentially affecting 2016 reports.

4. Utilization for Decision Making

• Status: Emerging
• Overview: EMIS data are used to support decision-making at various levels of the education system.
• Data Use:
  • Data are disseminated through an annual statistics book and online dashboard.
  • Most stakeholders outside the national government lack access to EMIS due to limited internet and training.
  • Schools are not aware of the dashboard and rely on internal methods.
• Challenges:
  • Limited internet access and communication materials hinder data utilization.
  • No clear feedback loops to schools, which reduces data accuracy and response rates.
  • EMIS is not used for planning and decision-making in practice, despite being referenced in policy documents.

Emerging Trends and Good Practices

• Provincial Pilots: Six provinces are piloting EMIS with digital access, enabling real-time data input and local reporting.
• Milne Bay as a Success Case:
  • A maritime province with 70,000 students.
  • Strong EMIS integration with provincial strategic planning.
  • Established data management processes including validation and revision.
  • Dedicated EMIS staff and strong support from the provincial education office.
  • Low nonresponse rate (1%) due to structured workflows and checklists.

Recommendations

• Develop a comprehensive EMIS policy and budget to ensure long-term sustainability.
• Establish clear procedures for data confidentiality and sharing with other government units.
• Implement automated data validation and analytics tools to improve data accuracy and efficiency.
• Enhance communication and training to increase EMIS accessibility and utilization among stakeholders.
• Strengthen feedback mechanisms to bring EMIS analysis back to schools and improve data quality.
• Support provinces in EMIS implementation with dedicated funding and ongoing training.
• Integrate learning outcomes data into EMIS to better track educational quality.

Conclusion

The EMIS in PNG has made progress in data collection and management, but it faces significant challenges in policy support, data quality, and stakeholder engagement. With continued investment and strategic development, EMIS has the potential to become a more robust and effective tool for improving education outcomes and decision-making across the country.