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Foundations of Data-Informed Teaching

Introduction to Data-Informed Teaching

Benefits for Instructors and Students

Ethical Considerations and Data Privacy

Navigating Student Privacy and FERPA

The Ethical Use of Educational Data

Interpreting Basic Learning Metrics

Identifying Key LMS Metrics

Monitoring Student Progress and Engagement

Applying Data Insights to Instructional Strategies

Using Data to Support Struggling Students

Adjusting Course Design Based on Basic Insights

Knowledge Assessments

Quiz 1: Core Concepts of Data-Informed Teaching

Quiz 2: Ethics and Privacy Guidelines

Quiz 3: Understanding LMS Metrics

Quiz 4: Interpreting Student Engagement

Quiz 5: Applying Insights to Teaching Strategies

Course Feedback

End of Course Survey

Are you looking to enhance your teaching effectiveness and boost student success in higher education. Welcome to the "Fundamentals of Data-Informed Teaching in Higher Education," a comprehensive course designed specifically for university faculty, instructors, and instructional designers.

Are you looking to enhance your teaching effectiveness and boost student success in higher education? Welcome to the "Fundamentals of Data-Informed Teaching in Higher Education," a comprehensive course designed specifically for university faculty, instructors, and instructional designers. In today's digital learning landscape, educational data is abundant, but knowing how to translate that data into actionable insights is a critical skill. This course bridges the gap between raw data and impactful teaching strategies. You will explore the foundational concepts of data-informed teaching, learning how to distinguish it from purely data-driven approaches, and discover the primary sources of instructional data available within your Learning Management System (LMS). We will guide you through the essential ethical considerations and data privacy regulations, including FERPA compliance, ensuring you handle sensitive student information responsibly and equitably. Furthermore, you will learn how to interpret basic learning metrics—such as page views, time on task, and participation rates—to monitor student progress and identify early warning signs of disengagement. Finally, this course empowers you to apply these insights directly to your instructional strategies. You will discover how to provide timely interventions for struggling students and make immediate, data-backed adjustments to your course design. By the end of this journey, you will have the confidence and tools to foster a more engaging, supportive, and successful academic environment for all your students. Enroll today to transform your teaching practice through the power of data!

Data-Informed Teaching in Higher Education

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            <p>The landscape of higher education is increasingly shaped by the availability of digital learning data, presenting faculty and instructors with unprecedented opportunities to enhance student success. "Fundamentals of Data-Informed Teaching in Higher Education" provides a comprehensive exploration of how educators can leverage instructional data to refine their pedagogical approaches. This course establishes a robust foundation by distinguishing between data-driven and data-informed decision-making, ensuring that quantitative insights serve to augment, rather than replace, instructional expertise. Participants will examine the primary sources of educational data and learning analytics, ultimately understanding the core benefits these metrics offer for improving course delivery, student engagement, and overall academic retention.</p>

<p>Beyond the foundational concepts, the curriculum rigorously addresses the critical ethical considerations and privacy regulations inherent in handling student information. Educators will navigate federal guidelines, such as the Family Educational Rights and Privacy Act (FERPA), while exploring best practices for maintaining transparency, equity, and fairness in academic interventions. As the course progresses, participants will develop practical skills in interpreting standard Learning Management System (LMS) metrics to monitor student progress and identify early warning signs of disengagement. By synthesizing these insights, instructors will be equipped to implement timely interventions for struggling learners and make immediate, evidence-based adjustments to their course design, ultimately fostering a more responsive and effective learning environment.</p>
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