Lessons learned from designing a curriculum analytics tool for improving student learning and program quality.

Area of Science:

• Learning Analytics
• Educational Technology
• Curriculum Design

Background:

• Curriculum Analytics (CA) is an emerging field within Learning Analytics focused on data-driven curriculum improvement.
• The impact of CA tools on student learning and program quality remains an open research question.

Purpose of the Study:

• To describe lessons learned from designing and implementing a CA tool for curriculum and teaching practice reflection.
• To evaluate the usefulness and usability of the CA tool through a two-cycle design-based research approach.

Main Methods:

• A design-based research approach, The Integrative Learning Design Framework, was employed.
• A two-cycle building-testing structure involved a case study with 5 managers and 124 staff, followed by workshops with 16 managers and 9 staff across two universities.

Main Results:

• The CA tool facilitated the collection of diverse evidence on student competency attainment.
• Educators gained increased awareness of student learning situations, aiding in the redesign of assessments and course sequences.

Conclusions:

• The developed CA tool supports informed curriculum decision-making and program improvement.
• The tool is currently adopted by 20 Latin American universities for curriculum renewal strategies.