ANALYTICS FOR LEARNING: LEVERAGING DATA FOR EFFECTIVE TRAINING

In today's rapidly evolving educational landscape, strategic data utilization is crucial for enhancing learning experiences and broadening impact. This course delves into key principles, techniques, and future trends in data analytics for learning. Through engaging content, discussions, and practical assignments, participants will gain invaluable insights into leveraging data-driven approaches to refine learning design and make informed decisions. OBJECTIVES • Describe the key principles and concepts of data analytics and analyze their relevance and application within the training sector. • Utilize data analytics techniques at the micro level to optimize instructional design decisions, ensuring alignment with learning objectives and enhancing learning outcomes. • Utilize data analytics at the meso level to analyze trends and patterns across multiple courses or curriculum components, enabling informed decision-making for course management, improvement, and alignment with organizational objectives. • Analyze data at the macro level to inform institutional decision-making, enhance organizational governance, and align training programs with strategic objectives and performance metrics. • Explore future trends in data analytics for learning and understand the role of AI in data processing. CONTENT Week 1: Defying Learning Analytics • Introduction to data analytics in the learning and training sector • The learning data ecosystem Week 2: key principles and concepts of Learning Analytics • The Learning Analytics Framework • Data analytics at the meso and macro level • Marketing analytics - Outreach strategies based on data insights • Using data to inform institutional policies and decisions Week 3: Privacy and ethical consideration of learning analytics. • Privacy concerns and legal frameworks • Trusted Learning Analytics and the DELICATE checklist Week 4: Exploring the nexus: Learning analytics and learning design - the micro level • Data analytics at the micro level • Using analytics for instructional design • Tracking learner progress and achievement Week 5: Dashboard design and future trends. • Data analytics dashboard • Future trends in analytics for learning • Predictive analytics and the role of AI in data processing NUMBER OF HOURS: 15