<< Background >>Solutions currently on the market rely on coded content, embedded videos, and paid manual support to enhance the teaching experience. This is a still untapped gap and also a great opportunity for development and innovation in the industry. The quality of content in education may be excellent, but it can never replace the personal affirmation component that a student is trying to strengthen the mind map of. Online mobile education is only a supplement and does not replace face-to-face training for these reasons in the current scenario.That's why the partners created this project that aims to design and test an innovative digital methodology for vocational education and training that combines CHATBOT Technology or chatbot with a modular learning path designed temporarily.<< Objectives >>We intend to give the tools to trainers to create their own chatbot in an already developed chatbot creator platform. 4 or more (it depends on the number of the partners) different chatbots, filled with content and connected to the learning outcomes of the VET centers involved in the projects, as well as a chatbot design guide and a chatbot creation training module to support trainers and VET organizations in developing their own chatbot.The objective of this project is to design, test and train trainers on an innovative digital learning tool and methodology for VET education: a Conversational Agent Technology (mostly known as chatbot or AI Tutor) with an ad hoc designed modular learning path to support the VET learners in the learning process.<< Implementation >>Following activities will be implemented to achieve project objectives:* Two project results: (1) Chatbot creating guide (A chatbot creating guide to help educators create and apply their own chatbot for VET education purposes around EU), (2) Each VET training center partners will create their own chatbot.* Five transnational project meetings with different aims in different countries.* 1 LTT activity in France* 5 multiplier events to disseminate and exploit project results<< Results >>Short-term Results:• Answering questions that a child may not be able to ask in a classroom setting due to peer pressure and fear of mocking by teachers and friends.• Slow learners will be able to attend the same training multiple times and keep brushing up on doubts and confusion to get at par with others.• Fast learners will be able to seek chatbot recommendations to understand what courses they may take next instead of waiting for it in classrooms. They will also be able to ask questions such as the topics that can enable them to grow in a specific area of interest or training module to answer particular questions.• Students at the tender age will be able to rely on the chatbot to seek answers that may not have been addressed by their parents or teachers.• Students who have a habit of asking too many questions can happily tinker with the chatbot to satisfy their educational needs.• Customization of chatbot will enhance the comfort level and engagement of the student at every age.• The chatbot will also be a personal counselor to children at a crucial stage that may decide how they may develop their careers.• The chatbot will be a personal assistant that helps the child plan their courses to complete all topics before deadline.• The chatbot will seek student feedback through the click of a button for improvements. It will also be used to design the student profile to guide them in the best way possible.Long-term Results:1. Holistic view: In traditional online learning, the learners can watch or follow exhaustive lecture. If a student cannot ask a question online, s/he faces a difficulty. In chatbots, there is a pop-up window asking “what can I do for you today?” This tool will have been developed already to answer the question. If it cannot answer the learner’s question (if there is nodataset), it will say ““I am sorry, but you may have to reach out to an expert on this.”2. Innovative and sustainable teaching/training method: Trainers will be able to learn through chatbots. This smart tutoring system will provide autonomous learning environment to end-users. They will be able to analyze their answers and the ways they approach and carry out the learning content. These chatbots will turn the lecture into series of messages togive it the appearance of a uniform chat conversation. It also seeks learner feedback such as changing learning mode or the faculty. If the student is not satisfied with the resolution, chatbot will connect him to a manual expert.3. Engagement: Instant messaging and social media are the way of life for today’s learners. The chatbot utilizes its expansive knowledge in this context to answer and also suggestsadditional training to further brush up on the concepts. The student can clarify small doubt without having to google into more pages — a straight cut method to retain student attentionand reinforce learning with zero confusions. As a result, when they engage themselves during the session, they will learn better.4. Feedback: Research suggests that feedbacks help reinforce a person’s mind-map. Examinations are the traditional feedback mechanism; in the case of app- based learning, they are online assessments. The chatbots increase learner-centered feedback. When a student provides the wrong answer, it explains the reason why this answer is wrong and the bestway to approach such questions for future references. Once the training ends, it gives a final score and uses its intelligent model to suggest more courses to strengthen the student’s learning. The contentthat acclimatizes to individual’s learning speed and places increasingly harder problems to speed up the learning proves as the student starts to grasp better and faster. This ensures that both the fast and slow learners can work at their own pace without being disheartened by others.