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Automated Exam Grading with AI

Cross-cutting
Digital Skills

IA Academy

Duration

3:00 p.m.

PRESENTATION

The Course on Automated Exam Grading with AI it immerses you in the exciting world where the Artificial Intelligence Is Transforming Education. In a context where the educational digitization is booming; the ability to use AI to grade exams represents a highly sought-after skill. This course offers you a deep understanding of the Fundamentals of Evaluation Using Artificial Intelligence, approaching the issue from the basic principles up to the ethical challenges and the transparency. You'll learn how to use the natural language processing (NLP) to improve the autocorrect and you'll explore how the advanced language models, such as BERT y GPT, they can revolutionize educational assessment. You'll also delve into the Design and development of automatic correction systems, understanding the workflow and the quality metrics. Taking this course puts you in a position to at the forefront of an educational revolution, opening doors to new career opportunities in a a constantly evolving labor market.

Objectives

  • Learn about the Principles of Educational Assessment and its current challenges.

  • Understanding the basic principles of AI applied to the evaluation.

  • Identify Types of Automated Assessment and its application in exams.

  • Analyze the ethics, the biases and the transparency in the AI-based assessment.

  • Understanding the role of the natural language processing (NLP) in the autocorrect exams.

  • Apply language models for analyze written responses.

  • Design automatic correction systems with tools y metrics appropriate.

Syllabus

TEACHING UNIT 1. FUNDAMENTALS OF AI-BASED ASSESSMENT 1. Educational assessment and its current challenges 2. Basic principles of artificial intelligence applied to assessment 3. Types of automated assessment: objective, formative, and summative 4. Ethics, Bias, and Transparency in AI-Based Assessment Systems 5. Use Cases in Educational Institutions and Digital Platforms TEACHING UNIT 2. NATURAL LANGUAGE PROCESSING (NLP) FOR EXAMS 1. NLP and Its Role in Automated Grading 2. Classification of Responses: Closed-Ended vs. Open-Ended Questions 3. Language Models (BERT, GPT, etc.) Applied to Written Responses 4. Semantic analysis techniques and detection of incorrect answers 5. Limitations of NLP in automated assessment and how to mitigate them TEACHING UNIT 3. DESIGN AND DEVELOPMENT OF AUTOMATED GRADING SYSTEMS 1. Types of Questions That Can Be Automatically Graded 2. Workflow: From Response Collection to Feedback 3. Tools and Platforms 4. Quality Metrics 5. Integration with Learning Management Systems
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Are the Educa PHAROS courses eligible for credit?

Many courses can be credited toward the master's programs at Structuralia.
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Facts about our area

+ 1.483

Hours

+88.999

Minutes

264

Courses

Educa PHAROS is a next-generation training model that places a company’s human capital at the forefront. Through a platform that adapts to each company’s corporate identity and offers a total of more than 900 courses, it provides tailored training for each organization. The unlimited flat-rate plan provides each company with the number of courses that best suits its needs, as well as the ability to determine which employees will have access.
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