混合式教育、学习和评价指导框架-英语-112页_2mb

Summary of the HELA Framework

Introduction

The HELA (Hybrid Education, Learning, and Assessment) framework was developed post-COVID-19 to address global educational transformations. It integrates in-person and online learning for personalized, flexible education, driven by technological advancements and the need for equity and innovation.

Definition and Rationale

HELA is a blended learning model that combines face-to-face and digital education to enhance learning continuity. It emerged from the pandemic, offering solutions like the OMO (Online-Merge-Offline) approach, which fosters interactive and adaptive learning experiences.

Key Elements for Implementation

Successful HELA requires:

• Reliable infrastructure (internet, servers, devices) for connectivity.
• User-friendly technologies and digital resources, including learning management systems.
• Accessible components like interactive media, open educational resources, and immersive tools.
• Pedagogical strategies focusing on student-centered, open, and personalized learning.
• Continuous assessments, emotional and pedagogical supports.
• Stakeholder collaborations, including government, schools, parents, students, and enterprises.

Stakeholder Roles and Responsibilities

• Government: Policies, funding, and coordination.
• Academic institutions and NGOs: Resource provision and collaboration.
• Technicians and administrators: Technical support and management.
• Enterprises: Supplying technologies and educational tools.
• Schools: Organizing hybrid programs and supporting vulnerable students.
• Teachers: Curriculum development and personalized instruction.
• Parents/guardians: Homeschooling support and communication.
• Students: Self-directed learning and digital competency.

Guidelines and Principles

HELA is guided by principles such as accessibility, inclusivity, equity, flexibility, and intentional technology use. It includes strategies like backward design for courses, leveraging hybrid teaching models, and an instructional process from pre-analysis to assessment.

Learning Assessment

Methods range from online exams and rubric-based assessments to self-evaluations, learning contracts, and e-portfolios. AI supports precise analysis and personalized feedback to improve evaluation accuracy.

AI Integration

Artificial intelligence enhances HELA through personalized learning, automatic assessments, and data-driven insights. It aims to optimize teaching and learning but requires cautious use to avoid challenges.

Case Studies

• Shanghai's flipped classroom integrates online and offline teaching, increasing student engagement.
• Squirrel AI platform uses adaptive learning to improve exam performance in rural schools.

Conclusion

HELA supports transformative education by promoting global equity, sustainability, and innovative learning strategies. Its application is encouraged for large-scale adoption to achieve educational SDGs.