Measuring Learning Outcomes & AI in Education

SHARES METHODS FOR MEASURING LEARNERS' ACHIEVEMENT OF PROGRAM LEARNING OUTCOMES AND THE APPLICATION OF ARTIFICIAL INTELLIGENCE IN DESIGNING TEACHING AND LEARNING ACTIVITIES

 By Le Phuong Truong, Office of Educational Testing and Quality Assurance

Published on Jan 10, 2024

The Office of Educational Testing and Quality Assurance at Lac Hong University organized a training session titled “Guidelines for Measuring Learners' Achievement of Program Learning Outcomes and Applying Artificial Intelligence (AI) in Designing Teaching and Learning Activities” for the university's faculty. The training took place over two days, January 6, 2024, and January 10,2024.

At the beginning of the session, Dr. Lam Thanh Hien, Rector of Lac Hong University, presented on measuring program learning outcomes based on ABET and AUN-QA accreditation standards. He also

highlighted the importance of identifying skills and knowledge, and how to assess whether students meet the program learning outcomes. The training session was vibrant and engaging, with faculty members actively participating, sharing their concerns, and asking many questions for clarification. 

Assoc. Prof. Dr. Nguyen Thanh Lam, Vice Rector, addressed the queries of faculty members and shared valuable insights on assessing program learning outcomes according to ABET and AUN-QA standards. His discussion included topics such as designing learning outcomes based on Bloom's taxonomy, creating detailed course syllabi aligned with the learning outcomes, and methods for evaluating the achievement of course learning outcomes. These insights helped faculty members to understand the steps and methods for assessing the achievement of course-specific learning outcomes and the overall program learning outcomes.

 Dr. Le Phuong Truong, Head of the Office of Educational Testing and Quality Assurance, introduced software for measuring and evaluating program learning outcomes. In the future, the aim is to install the software and delegate access to individual faculties, allowing them to directly input data into the system for easier measurement and evaluation.

He further introduced the application of artificial intelligence (AI) in designing teaching and learning activities, providing faculty with useful tools such as question generation, rubric design, multimedia creation, article editing, and support in scientific research. 

The training session provided faculty members with a deeper understanding of measuring program learning outcomes and the benefits and potential of applying artificial intelligence in teaching and research.

Images from the seminar