Analytics for the Classroom Teacher

This course is ideal for school teachers who want to improve their teaching through valuable data-driven insights.

Course Description

Do you want to be more reflective in your teaching practice and wonder if there are technologies that can help? Are you curious about how data-driven, evidence-based teaching practices can improve your students’ learning? This is the course for you! Analytics for the Classroom Teacher is an introduction to the emerging field of teaching and learning analytics from the perspective of a classroom teacher. Experts from all over the world will provide an overview of the current state-of-the-art in teaching and learning analytics. You’ll learn how teachers, curriculum developers and policy makers are collecting and analysing data from the classroom to help guide decisions at all levels. The course will then focus on the school teacher, and how data analytics can help you to make improvements in your classroom. You’ll l... Read More »

Do you want to be more reflective in your teaching practice and wonder if there are technologies that can help? Are you curious about how data-driven, evidence-based teaching practices can improve your students’ learning? This is the course for you!

Analytics for the Classroom Teacher is an introduction to the emerging field of teaching and learning analytics from the perspective of a classroom teacher.

Experts from all over the world will provide an overview of the current state-of-the-art in teaching and learning analytics. You’ll learn how teachers, curriculum developers and policy makers are collecting and analysing data from the classroom to help guide decisions at all levels.

The course will then focus on the school teacher, and how data analytics can help you to make improvements in your classroom.

You’ll learn to use analytics to improve your lesson plans and your delivery of those plans, and discover more about your students’ learning.

No previous knowledge in data-driven instruction, teaching and learning analytics is needed. Join us and a large community of innovative teachers from around the globe and become a pioneer of teaching and learning analytics in your school.

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Course Outcomes:
  • How educational data analytics can improve classroom teaching and learning, as well as supporting data-driven decision making at various levels of school operations
  • An understanding of the current state-of-the-art in teaching and learning analytics tools and methods
  • How teaching analytics can be used to analyse your lesson plans
  • How learning analytics can be used to analyse the classroom delivery of your lesson plan and reveal more about your students' learning
  • How you can reflect on your teaching practice by combining insights from both teaching and learning analytics
About Instructor:

Demetrios Sampson - Professor of Learning Technologies

Demetrios is a Professor of Learning Technologies at Curtin University’s School of Education in Western Australia.

He has been actively engaged in research and innovation in the field of digital technologies for teaching and learning for the past 20 years. He has authored more than 380 research articles published in scientific books, journals and conferences, received 9 best paper awards and delivered 60 keynote/invited speeches in international conferences around the world.

He is the Editor-in-Chief of the Educational Technology & Society Journal, one of the most highly ranked academic journals in the field of learning technologies, and the Chair of the IEEE Technical Committee on Learning Technologies.

His work in the field of learning technologies was recognised by the IEEE Computer Society, and he was awarded a Distinguished Service Award and Golden Core Membership in 2012.


Course Outline

  • Familiarisation of participants with the course structure, policies and outline
This module will:
  • Introduce the concept of educational data
  • Discuss how educational data can be used to inform data-driven decision-making at various levels of school operations, strengthening school autonomy
  • Identify data literacy for teachers as a core competency for supporting not only school accountability and compliance to (national) regulatory standards, but also continuous school self-evaluation and improvement
  • Introduce the need for data analytics technologies for efficient and effective educational data-driven decision-making, and highlight learning analytics and teaching analytics, which will be further discussed in the course
This module will:
  • Introduce the need to capture and document teaching designs using lesson plans
  • Define the concept of teaching analytics as a way to enable the analysis of a teaching design and reflection upon it
  • Present the current state-of-the-art in teaching analytics tools that can be used by classroom teachers
  • Demonstrate how to use teaching analytics tools to analyse a lesson plan
This module will:
  • Discuss the concept of personalisation in 21st century school education and the need for generating, updating and maintaining accurate student profiles
  • Define the concept of learning analytics as the means for supporting personalised teaching and learning, through the measurement, collection, analysis and reporting of students’ educational data generated during the learning process
  • Present the current state-of-the-art in learning analytics methods and tools that can be used by classroom teachers
  • Demonstrate how to use learning analytics tools to analyse the classroom delivery of a lesson plan, identify individual student needs and better support the individual student
This module will:
  • Introduce the concept of reflective practice as an important instrument for practice-based professional development as well as organisational learning and improvement
  • Define the concept of teacher inquiry as a key method for data-driven reflection on-action, related to the process where teachers build useful knowledge about teaching and learning through the deliberate and systematic study of their own practice
  • Present indicative teaching and learning analytics tools that can support teacher inquiry
  • Demonstrate how to use teaching and learning analytics tools to reflect on your teaching practice
This concluding module will allow participants to:
  • Finalise their assignments
  • Discuss their overall MOOC learning experience with their peers
  • Reflect on their learning experience by submitting a course review and feedback survey

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