Understanding Machine Learning with Different Types of Educational Assessments
Location
Gold Coast III/IV
Start Date
28-5-2025 3:30 PM
End Date
28-5-2025 3:55 PM
Description
This presentation explores how machine learning models can be trained on binary and categorical data, using examples of multiplechoice questions (MCQs) and true/false questions. It covers the process of acquiring and preprocessing data, followed by training, evaluating, and testing the models. For MCQs, the data type is categorical, while for true/false questions, it is binary. The discussion highlights how these data types influence algorithm selection and the overall modeling process. The goal is to provide participants with a comprehensive understanding of these processes, empowering them to leverage AI effectively in their fields.
Recommended Citation
Adeel, Muhammad, "Understanding Machine Learning with Different Types of Educational Assessments" (2025). Teaching and Learning with AI Conference Presentations. 72.
https://stars.library.ucf.edu/teachwithai/2025/wednesday/72
Understanding Machine Learning with Different Types of Educational Assessments
Gold Coast III/IV
This presentation explores how machine learning models can be trained on binary and categorical data, using examples of multiplechoice questions (MCQs) and true/false questions. It covers the process of acquiring and preprocessing data, followed by training, evaluating, and testing the models. For MCQs, the data type is categorical, while for true/false questions, it is binary. The discussion highlights how these data types influence algorithm selection and the overall modeling process. The goal is to provide participants with a comprehensive understanding of these processes, empowering them to leverage AI effectively in their fields.