Case Studies

designCLASS: Intelligent Supervised Learning Design Platform

Executive Summary

The designCLASS: Intelligent Supervised Learning Design Platform revolutionizes higher education by providing intelligent instructional design guidance. This innovative platform enables educators to create coherent, outcome-based learning experiences through AI-driven alignment of learning outcomes, assessments, and activities, significantly improving educational quality and instructor confidence.

Background & Context

Higher education faces critical challenges in transforming pedagogical approaches toward outcome-based education and technology integration. Most instructors lack systematic tools for comprehensive instructional design, resulting in time-intensive processes with poor alignment between learning outcomes, assessments, and activities. Educators struggle to select appropriate technologies and MOOC resources, often implementing fragmented approaches that fail to achieve predetermined learning objectives, creating discontinuous instruction lacking coherence.

Implementation Strategy

The designCLASS: Intelligent Supervised Learning Design Platform was developed through comprehensive data collection from university educators and novice teaching practitioners, including student teachers. As faculty members teaching systematic instructional design at graduate level with extensive experience in learning design and educational technology, the innovators identified critical needs for holistic instructional design guidance. The platform was designed to provide continuous support using Constructive Alignment principles with rapid, precise alignment processing capabilities.

Technology Innovation

The designCLASS: Intelligent Supervised Learning Design Platform leverages artificial intelligence to deliver intelligent instructional design guidance, featuring automated alignment processing between learning outcomes, assessment strategies, and learning activities. The system integrates technology selection recommendations and MOOC resource matching, providing comprehensive learning management strategies specifically designed for digital-age classrooms while maintaining systematic coherence throughout the design process.

Impact Evidence

The designCLASS: Intelligent Supervised Learning Design Platform fosters constructive alignment and outcome-based learning in blended educational contexts, empowering educators to create engaging, technology-integrated lesson plans. It enhances student outcomes through improved instructional quality, builds educator confidence in designing meaningful educational experiences, and serves as a comprehensive repository of learning management strategies, ultimately facilitating instructor convenience while elevating overall educational standards.

Strategic Alignment

The designCLASS: Intelligent Supervised Learning Design Platform directly supports institutional goals by promoting flexible, student-centered higher education approaches and supporting professional development through AI-driven feedback and supervision. The platform aligns with broader educational transformation initiatives, enabling institutions to systematically improve pedagogical practices while maintaining outcome-based educational standards and preparing educators for digital-age teaching requirements.

Future Vision

The platform’s scalability enables widespread adoption across higher education institutions, supporting continuous improvement through AI-driven insights and feedback mechanisms. Future development focuses on expanding technology integration capabilities, enhancing MOOC resource recommendations, and building comprehensive professional development pathways. This sustainable approach ensures long-term economic and societal development benefits while maintaining educational excellence and supporting the evolution of modern pedagogical practices.

By      Faculty of Education, Chulalongkorn University

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