This course aims to explore more areas through the combination of AI tools and language learning with a diversified learning approach. These include the uses of generative AI in producing music, generating stories, audio, and videos. Through this interactive approach, we can better understand its impact on teaching and also consider the direction of future education policy.

Description:

Alonso Chen has participated in scientific associations and artificial intelligence courses, which he has accumulated a lot of knowledge about the application of artificial intelligence. He is now studying in the Department of English at Soochow University where he also gets to know how generative AI helps to learn language-related fields, which makes him more interested in in-depth research on the relationship between language learning and artificial intelligence, and devote himself to promoting this learning mode. Through this concept, he believes that AI can play a major role in the education of the future.

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Implication:

By focusing on the basics, mechanisms, and applications of generative AI, we will learn to apply the technology in creative pursuits such as storytelling, music writing, and professional communication in this course.

Take AI music task for example, This song is called "Shattered Trust" which describes the disbelief between two friends. To make the music sound emotional, I write a prompt with a rap tone, a male voice , and a powerful rhythm. As a result, it shows how AI can absorb the information and generate music in such a short time. You can add any prompts you like, and it will generate various versions for you to choose.

Innovation:

This course explores the connection between robot and learning. In the part where Kebbi tells the story, we give him a series of programming instructions to carry out the story theme we have come up with. It cannot only tell the story but also add expressions and body movements to make the effect of telling the story more vivid. Kebbi can also interact with the audience and answer questions. Through the interaction with the Kebbi robot, the innovation between language learning and the robot is gradually developed.

In the process of identifying the color of objects, we can give the robot various objects to identify the color of objects. Although Kebbi sometimes misidentified colors, after trial and error and research, I found that the objects we gave should not be covered in multiple colors, and should try to be the same color. This reduces errors and allows the identification system to run smoothly.

Reflection:

In this section, we were assigned to generate a story with AI pictures, videos, and music. We first wrote a story and asked Chat GPT for revision. After that, we began generating AI pictures that fit into the story plot. We also used Capcut to edit our video, including background music and subtitles.

This task enhanced my ability to utilize AI tools, and I also learned how to give AI a detailed prompt to make sure it generates paragraphs and pictures perfectly. With the experience of making an AI storytelling video, I indeed got deeper understanding of AI fields.

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