Analytics for Classroom Teachers: Improve Teaching with Data
Learn to use data analytics to enhance classroom teaching and student learning in this 6-week introductory course for educators.
Learn to use data analytics to enhance classroom teaching and student learning in this 6-week introductory course for educators.
This course introduces teachers to the emerging field of teaching and learning analytics, focusing on practical applications in the classroom. Participants will explore how data-driven, evidence-based teaching practices can improve student learning outcomes. The course covers the use of analytics to enhance lesson planning, delivery, and student assessment. Teachers will learn to leverage educational data for informed decision-making at various levels of school operations. Through expert-led instruction and hands-on exercises, participants will gain skills in using analytics tools to reflect on their teaching practice, personalize learning experiences, and support continuous improvement in education. No prior knowledge of data analytics is required, making this course ideal for educators looking to innovate and enhance their teaching methods.
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What you'll learn
Understand how educational data analytics can improve classroom teaching and learning
Explore current state-of-the-art teaching and learning analytics tools and methods
Use teaching analytics to analyze and improve lesson plans
Apply learning analytics to assess classroom delivery and understand student learning patterns
Combine insights from teaching and learning analytics for reflective teaching practice
Develop data literacy skills for supporting school accountability and improvement
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
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There are 5 modules in this course
This course introduces classroom teachers to the power of data analytics in education. It covers the fundamentals of teaching and learning analytics, showing how these tools can enhance classroom instruction and student outcomes. The curriculum is structured into five main modules, starting with an introduction to educational data and its role in decision-making. Subsequent modules focus on teaching analytics for improving lesson plans, learning analytics for personalizing instruction, and the use of analytics in teacher inquiry and reflective practice. Throughout the course, participants will learn about state-of-the-art analytics tools and methods, with practical demonstrations on how to apply these in real classroom settings. The course emphasizes the importance of data literacy for teachers in supporting school accountability, compliance with standards, and continuous improvement. By the end, teachers will be equipped to use analytics for more effective lesson planning, delivery, and student assessment, fostering a data-driven approach to education.
Introduction to educational data for supporting data-driven decision making in school education
Module 1
Teaching analytics: Analyse your lesson plans to improve them
Module 2
Learning analytics: Analyse the classroom delivery of your lesson plans and discover more about your students
Module 3
Teaching and learning analytics to support teacher inquiry
Module 4
Conclusion
Module 5
Fee Structure
Instructor
Pioneer in Digital Learning Technologies and Educational Innovation
Demetrios Sampson stands as a globally recognized authority in learning technologies and digital education, currently serving as Professor of Digital Systems for Learning and Education at the University of Piraeus, Greece, and Professor of Learning Technologies at Curtin University, Australia. His remarkable academic output includes over 345 research articles, 19 books as editor, and more than 8,100 citations with an h-index of 42. His groundbreaking contributions include developing the world's first MOOC on Educational Data Analytics for teachers, which has reached over 25,000 participants from 180 countries through the edX platform. As Editor-in-Chief of the Educational Technology & Society Journal (2003-2018), he pioneered open access in educational technology research, with the journal now ranked 8th globally in Educational Technology. His expertise has been recognized with numerous accolades, including 10 Best Paper Awards at international conferences, the IEEE Computer Society Distinguished Service Award, and Golden Core Member status. Sampson has directed over 70 research and innovation projects with funding exceeding €16 million, supervised more than 175 honors and postgraduate students, and delivered keynote speeches at over 100 international conferences. His leadership extends to chairing the IEEE Technical Committee on Learning Technologies and spearheading initiatives like Learn2Analyse, promoting educational data literacy across the globe
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