VML Framework

Introduction:
Welcome to a groundbreaking framework that redefines educational resources in the STREAMS domain (Science, Technology, 21C LiteRacies, 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 enable and empower any teacher to design and  create an immersive and seamless learning experience, by utilizing AI-generated videos and AI-GPT-supported and generated text for lessons, empowering students with the skills required in the 21st century. (AI-Chat Generative Pre-Trained Transformer).
To effectively utilise our VML framework, teachers may choose the appropriate AI Avatar Video, and based on that choice,  design, create and generate an innovative, age-appropriate lesson plan to 'empower' a challenging learning environment with the resources we have made available on our website. The choice of pedagogical approach and chosen topic and sub-topic(s) you prefer from those provided, will also influence the final 'lesson plan' that is generated.
                                                                                 Description:
‍The proposed VML 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 subject specific and curriculum requirements in various EU countries, offering a more inclusive, pluralistic, diverse, 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.
-Finally, the proposed VML framework outlines the processes and tools required to develop educational resources using our dedicated web platform supported by GPT and AI-generated videos. The framework's components again 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.
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-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.

Erasmus+ Project - NBS STREAMS 2021 2 IS01 KA220 SCH 00005003