Cyrus Wong: Empowering Educators: Automated Assignment Scoring via Generative AI with Python

Problem:
As an educator, particularly in Asia, it is often necessary to assign a significant amount of homework to students in order to satisfy parental expectations and maintain a school’s reputation. While I won’t delve into the implications of this cultural norm, I must admit that being a teacher in this environment can be challenging due to the immense workload involved in grading and providing feedback on countless assignments. This situation essentially multiplies the workload a hundredfold, akin to a self-Distributed Denial of Service (DDoS) attack.
Educators often find themselves preoccupied with grading assignments, leaving little time to enhance the quality of their teaching. Instead of focusing primarily on assessment, it is crucial for teachers to allocate time for devising engaging and meaningful educational experiences for their students.
Solution:
Educators should consider utilizing AI technology, such as Amazon Bedrock, Azure OpenAI Service ChatGPT and Google Vertex AI LLM, to assist with or automate grading tasks. This AI demonstrates consistent and reliable reasoning and processing capabilities, delivering impressive results in automatic assignment evaluation. Furthermore, it can analyze student responses, providing valuable insights to help enhance their learning experience.
Here is one use case where Generative AI and Python can be employed for automated assignment assessment.
About Mr. Cyrus Wong
Cyrus Wong is a Senior Lecturer at the Department of Information Technology at the Hong Kong Institute of Vocational Education (Lee Wai Lee), an AWS Machine Learning Hero, Microsoft MVP - Azure and Google Developer Experts - Google Cloud Platform. He’s a passionate advocate for cloud technology and actively promotes its use through various media and events.
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