VML Framework

Introduction

‍Welcome to a groundbreaking framework that redefines educational resources in the STREAMS domain (Science, Technology, Readiness, Engineering, Arts, Maths, and Sustainability).

This framework provides a comprehensive roadmap for the development of innovative educational materials, driven by cutting-edge technology such as Generative AI.

Our mission is to allow any teacher to create an immersive and seamless learning experience by utilizing AI-generated videos and GPT-supported generate text for lessons, empowering students with the skills required in the 21st century.

To use this framework under this website, teachers choose the appropriate AI Avatar Video, and based on that they produced an innovative lesson plan to power a challenging learning environment with the resources available on this website.

On this website, you find information about the VML (Virtual Multi Learning) framework, and the need resources to apply it. Also, you find information regarding the AI-G tools used to support this framework.

Description

‍The proposed framework outlines the processes and tools required to develop interdisciplinary educational resources using a web platform supported by GPT and AI-generated videos, with a focus on STREAMS subjects. These resources were created based on the subject and curriculum requirements, offering a more interactive and immersive learning experience for students.

The framework's components include the use of AI-driven text generation, video content creation, and web-based storage.

By incorporating the STREAMS approach, the framework aims to foster creativity, critical thinking, and problem-solving skills among students, preparing them for the challenges of the 21st century.

Also, the proposed framework outlines the processes and tools required to develop educational resources using a web platform supported by GPT and AI-generated videos. The framework's components include the use of AI-driven text generation, video content creation, and web-based storage.

Pedagogical Approaches

1. Project Based Learning -PBL
2. Challenge Based Learning -CBL
3. Inquiry Learning -IL
4. Flipped Classroom -FC

Project-Based Learning (PBL), Challenge-Based Learning (CBL), Inquiry Learning, and the Flipped Classroom model are pedagogical approaches that share interconnected elements while offering distinct methodologies.

At their core, all these approaches emphasize active student engagement and foster critical thinking.

PBL involves students in long-term, real-world projects, promoting collaboration, problem-solving, and application of knowledge.
CBL similarly integrates real-world challenges, encouraging students to address complex issues collaboratively.
Inquiry Learning centres around student-led exploration, where questioning and investigation drive the learning process.
The Flipped Classroom, on the other hand, alters the traditional lecture-based model by delivering instructional content outside class, allowing in-class time for application and discussion.

While PBL and CBL incorporate hands-on projects and real-world scenarios, Inquiry Learning and the Flipped Classroom both prioritize a student-centric learning experience. Moreover, the Flipped Classroom and Inquiry Learning can serve as preparatory phases for PBL and CBL, fostering a solid foundation for students to tackle complex projects and challenges. Overall, these approaches share a common thread of fostering active, student-centred learning while offering unique perspectives on how to achieve educational objectives.

Educational resources today need to adapt to the growing needs of a diverse student population. Utilizing AI-driven tools and methodologies will enable the creation of customized and targeted content that caters to different learning styles and needs. This framework will help partners understand the relevance and impact of AI-driven educational resources on learning outcomes and guide them in the implementation process.

Contextualization

‍Educational resources today need to adapt to the growing needs of a diverse student population. Utilizing AI-driven tools and methodologies will enable the creation of customized and targeted content that caters to different learning styles and needs.

This framework will help partners understand the relevance and impact of AI-driven educational resources on learning outcomes and guide them in the implementation process.

Technical tools

‍The framework comprises three primary technical components:

‍AI Smart Teacher The AI Smart Teacher, powered by GPT, generates written content based on the curriculum and subject matter. This AI-driven tool personalizes learning materials for individual students and provides real-time feedback and support.

Video Generator The AI Video Generator creates engaging video content to complement the written materials generated by the AI Smart Teacher. These videos help to explain complex concepts in a more visual and interactive way, catering to different learning styles.

Web Repository The Web Repository serves as the central platform for hosting and organizing the AI-generated educational resources. This online platform allows for easy access, sharing, and collaboration among partners, educators, and students.