Develop learning analytic skills in the areas of assessment, development, instruction, research, and policy to address issues in educating both typical and atypical learners by adding a Graduate Certificate in Learning Analytics to your professional masters degree program.
Learning Analytics Certificate Overview
The goal of learning analytics is to better understand and improve learning for students, teachers, administrators, and other stakeholders and to better comprehend, organize, and provision educational data. Learning analytics is strongly focused on providing in-time information to inform interventions and teaching methodologies through predictive modeling. The end result is more effective educational systems.
Through this certificate, students will:
- Gain foundational skills and knowledge to analyze learner data from educational datasets
- Be introduced to basic programming languages for analyzing data
- Learn the essential principles for collecting, organizing, analyzing, and interpreting educational data
- Use text analysis strategies and natural language processing techniques to extract information from educational related text
- Explore advanced concepts in machine learning to conceptualize educational problems from an algorithmic perspective
Learning Analytics Certificate Curriculum
This certificate has two required courses. Students will also choose two additional courses from the approved list below:
Required Courses
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Fundamentals of Learning Analytics (SPED 7715)
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Machine Learning for Educational Applications (LPO 7500)
Additional Courses
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Educational Language Analysis (SPED 7720)
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Learner Database Management (SPED 7500)
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Technological Innovation and AI for Learning (EDUC 7010)