Global Certificate in Data-Enabled Educational Design
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โข Data Literacy in Education: Understanding the role of data in educational design, data-driven decision making, and data privacy.
โข Data Collection Methods: Techniques for gathering and organizing data, including surveys, interviews, observations, and learning analytics tools.
โข Data Analysis Techniques: Techniques for interpreting and making sense of data, including statistical analysis, visualization, and machine learning.
โข Design Thinking and Data: Applying design thinking principles to data-enabled educational design, including empathy, ideation, prototyping, and testing.
โข Implementation and Evaluation: Implementing data-enabled educational designs, evaluating their effectiveness, and iterating based on feedback and data analysis.
โข Data Ethics and Bias: Ethical considerations when collecting, analyzing, and using data, including issues of bias, privacy, and consent.
โข Data Visualization and Communication: Techniques for effectively visualizing and communicating data insights to stakeholders and decision-makers.
โข Data Management and Security: Best practices for managing and securing data, including data governance, storage, and backup strategies.
โข Emerging Trends in Data-Enabled Education: Exploring cutting-edge trends and technologies in data-enabled educational design, including artificial intelligence, machine learning, and adaptive learning systems.
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- ProficiencyEnglish
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- ThreeFourHoursPerWeek
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