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An Intelligent Platform for Assessing Program Learning Outcomes - Leveraging Data Processing and AI-Driven Reporting

Duc Dat — International University - Vietnam National University HCM City

Mai Thanh Nguyen Quynh — International University - Vietnam National University HCM City

Mai Oanh Nguyen Ngoc — Vietnam National University, Ho Chi Minh City; HCMC University of Technology, VNU-HCM

Tan Duy Le — International University - Vietnam National University HCM City

Kha Tu Huynh — International University - Vietnam National University HCM City

Vol. 4No. 1(2025)

Abstract

The EVALLOS platform introduces a transformative approach to the assessment of Program Learning Outcomes (PLOs) and Course Learning Outcomes (CLOs) in higher education. Leveraging advanced data processing, artificial intelligence (AI), and dynamic visualization tools, the system provides a unified framework for evaluating educational outcomes. EVALLOS automates key processes, including data collection, CLO-PLO mapping, and report generation, ensuring precision, efficiency, and scalability. With features such as real-time dashboards, AI-generated insights, and actionable recommendations, the platform empowers educators to refine teaching strategies, address learning gaps, and align curriculum with institutional goals. Additionally, EVALLOS facilitates accreditation compliance by delivering comprehensive reports that integrate quantitative metrics with qualitative analysis. Through its innovative design, EVALLOS advances institutional decision-making, fosters continuous improvement, and sets a benchmark for AI applications in education.

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2025 Journal of Data Science and Artificial Intelligence