Assess and apply learning theories in AI-supported learning environments
Master of Education in Learning Design and Technology
Overview
Shape the Future of Learning through AI-Driven Design and Technology.
The Master of Education in Learning Design and Technology is a forward-looking graduate program that equips educators, instructional designers, and curriculum developers with the knowledge and skills to lead innovation in smart learning. Rooted in instructional design, learning science, and technology integration, the program emphasizes the strategic use of emerging tools especially artificial intelligence and learning analytics to design adaptive, engaging, and inclusive learning environments.
Learners will gain practical, hands-on experience in developing, implementing, and evaluating online, blended, and technology-enhanced educational experiences. The curriculum blends advanced pedagogy, authentic assessment design, and real-world applications of AI to prepare graduates to shape the next generation of smart learning ecosystems.
Who is This Program For?
For educators and professionals passionate about transforming learning through technology.
This program equips graduates to build a professional portfolio and become proficient in designing interactive online learning, producing educational media, and contributing to technology planning in educational settings. Graduates' expertise includes designing innovative learning experiences, integrating emerging technologies, and leading smart learning initiatives.
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Educator (PK-12 and Higher Education)
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Instructional Designer
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Online Learning Specialist
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Curriculum Developer
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Educational Technology Consultant
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Corporate Trainer / Professional Development Coordinator
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Media Producer (Educational Content)
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Education Administrator / Policy Maker
What You Will Learn
Knowledge
Graduates of this program will gain a strong foundation in:
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Theoretical foundations of learning and instructional design within AI-enhanced and technology-mediated environments.
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Instructional design principles and methodologies, including their adaptation to personalized and AI-supported learning systems.
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Advanced educational technologies and applications of AI in digital learning design.
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Assessment design and the use of AI-driven learning analytics to evaluate learner performance and support adaptive learning.
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Project and agile management approaches for instructional design, incorporating AI tools and facilitating cross-functional collaboration.
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Educational research methods relevant to learning design and technology, with a focus on evaluating AI-integrated instructional innovations.
Skills
This program equips learners with the ability to:
Design and develop inclusive, adaptive smart learning experiences
Leverage advanced technologies and AI tools to build interactive learning solutions
Implement online assessment strategies and AI-driven learning analytics
Lead instructional design projects using agile methodologies and technology integration
Conduct and communicate research on learning design and emerging technology
Pre-Requisites
The program is open to professionals and graduates passionate about driving organizational excellence and continuous improvement.
- Pre-program: Management Appreciation Program (MAP)
Assessment
At HBMSU, your learning journey is supported by a structured and transparent assessment process that ensures both quality and continuous improvement.
Assessment Methods
Full Program Assessment
Evaluates the overall curriculum, study plan, graduation and entry requirements, and benchmarks the program against international standards.
Every 3 Years
Learning Outcomes Assessment
Measures how well learners are achieving key Program Learning Outcomes (PLOs) through annual assessments using Strategic Planning Online (SPOL), a web-based tool for data-driven evaluation and continuous improvement. SPOL facilitates collaboration on outcomes and rubrics, centralizes data collection, and tracks the impact of improvement actions to enhance learner success and overall program quality.
Annual
Course-Level Quality Checks
Involves the evaluation of course structure, content relevance, and assessment methods, along with systematic collection and analysis of regular course evaluations, learner feedback, peer reviews, and faculty self-assessments to identify areas for improvement.
Ongoing
Admission Requirements
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Tuitions & Fees
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Recognition of Prior Learning (RPL)
See how your past experience can count toward your degree.
Scholarship and Financial Aid
Learn about merit-based scholarships and financial support options.