Co-designing MOOCs with CoDe-Graph

Area of Science:

• Educational Technology
• Human-Computer Interaction
• Online Learning

Background:

• Massive Open Online Courses (MOOCs) are a prevalent online learning format.
• Designing effective MOOCs necessitates considering learner needs and contexts.
• Collaboration with subject experts, instructors, and stakeholders is crucial for successful MOOC design.

Purpose of the Study:

• To explore a three-phase co-design process for developing MOOCs tailored to disadvantaged groups in Southeast Asia.
• To introduce CoDe-Graph, a graphical modeling language designed to facilitate MOOC co-design.
• To investigate how diverse expert groups can achieve a common understanding through shared artifacts during the co-design process.

Main Methods:

• A three-phase co-design process was developed and explored.
• A graphical modeling language, CoDe-Graph, was presented as a tool to aid co-design.
• The study examined expert feedback on design elements and the creation of shared understanding.
• Four case studies were conducted to illustrate the application of CoDe-Graph in MOOC design.

Main Results:

• The CoDe-Graph tool effectively facilitated the co-design process among diverse expert groups.
• Shared artifacts generated through CoDe-Graph promoted a common understanding of MOOC design elements.
• Case studies demonstrated the practical utility of CoDe-Graph in visualizing and creating custom MOOC designs for specific learner groups.
• The co-design approach, supported by CoDe-Graph, proved valuable for developing MOOCs for disadvantaged populations.

Conclusions:

• Co-design, supported by tools like CoDe-Graph, is an effective strategy for creating inclusive and contextually relevant MOOCs.
• Graphical modeling languages can enhance collaboration and shared understanding in complex design processes.
• The presented methodology offers a framework for designing MOOCs that address the unique needs of disadvantaged learners in regions like Southeast Asia.