Automated language learning games

TEXT_INPUT:Get user input for their desired language;;HTTP_REQUEST:Fetch a list of vocabulary words and their translations from an online dictionary API, based on the user's chosen language;;CHATGPT:Prompt ChatGPT to generate multiple-choice quiz questions using the vocabulary words obtained;;TEXT_INPUT:Get user input for their answer to each quiz question;;DISPLAY_OUTPUT:Compare user's answers with the correct answers and display the score

Generative AI models such as LLMs (large language models) and image generators can be utilized in automated language learning games in several innovative ways. For instance, ChatGPT, an advanced model developed by OpenAI, can be incorporated as an intelligent language tutor for engaging conversational practice. It can simulate dialogue in the target language, provide corrections, and offer context-based translations. Language lessons can be gamified with AI-generated linguistic challenges or quizzes based on the learner's ability.

Similarly, image generation AI can design interactive visual-based games where learners match words with auto-generated images. For example, terms can be learned by correctly identifying AI-generated visual contexts or scenarios. Such applications of AI can enable personalized, stimulating, and accessible language learning experiences, transforming the learning journey into an immersive and interactive game.

How to build with Clevis

This example application, built using Clevis, showcases the development of an Automated Language Learning Game that improves users' language skills through engaging and interactive games. The application leverages the functionalities of OpenAI, particularly the ChatGPT model, to assess and enhance a user's language learning journey.

Firstly, the application collects user input to identify their preferred language of learning. From there, an HTTP request to an online dictionary API is made. This allows the application to fetch a specified list of vocabulary words and their corresponding translations based on the user's language choice. With the obtained vocabulary, the application prompts ChatGPT to generate a series of multiple-choice questions for a language quiz.

The answers to these questions are also collected through user text input. Once answers are recorded, they are compared to the correct translations obtained from the dictionary API. Finally, the user's score is calculated and displayed based on their correct responses. This innovative application exemplifies the range of possibilities that can be explored within the sphere of educational and quiz-based apps using Clevis.