Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Course Overview
Evidence-based and data-driven teaching practices can help teachers improve students’ learning experience. Also, if teachers want to be more reflective in their teaching practice, they should be aware of the technologies that can help and know how to use them. To that end, Curtin University offers The Analytics for the Classroom Teacher certification course.
The Analytics for the Classroom Teacher programme is an introductory course that talks about learning and teaching analytics, from a classroom teacher’s perspective. You can learn how teachers, policymakers, and curriculum developers collect and analyse classroom data, and how it affects and informs school operations decisions at every level.
The Analytics for the Classroom Teacher certification syllabus emphasises mostly on school teachers, and how they can use data analytics to improve their lesson plans, improve their delivery of those plans, and discover more about their students’ learning experience. You also get an opportunity to join a global community of innovative teachers.
The Highlights
- Free learning
- Six-week course
- No prerequisites
- English transcripts
- Self-paced learning
- 3-4 hours per week
- Introductory course
- Curtin University programme
- Verified and shareable completion certificate
Programme Offerings
- Free learning
- No prerequisites
- Six-week Course
- Self-paced learning
- English Transcripts
- 3-4 Hours Per Week
- introductory course
- Curtin University programme
- Verified completion certificate available for purchase
- Easily shareable Certificate
Courses and Certificate Fees
| Fees Informations | Certificate Availability | Certificate Providing Authority |
|---|---|---|
| INR 11605 | yes | Curtin University, Perth |
- The Analytics for the Classroom Teacher online course is available free of cost.
- But for candidates who wish to get certified, the completion certificate is available for purchase.
Analytics for the Classroom Teacher fee structure:
Training | Fee |
Analytics for the Classroom Teacher programme | Free |
Certification Fee | ₹ 11,605 |
Eligibility Criteria
The Analytics for the Classroom Teacher programme is an introductory course. It does not require learners to have a background or prior experience in data-driven instruction or learning and teaching analytics.
What you will learn
After completing the Analytics for the Classroom Teacher training, learners should know how to use data analytics to:
- Improve the teaching and learning experience in their classrooms
- Analyse their lesson plans and improve the delivery of those plans
- Implement state-of-the-art teaching and learning methods and tools
- Support data-driven decision-making at all levels of school operations
- Learn more about their students’ learning capabilities and learning experience
- Combine insights from both learning and teaching analytics, and reflect on their teaching
Admission Details
Step 1: Using the link below, open the Analytics for the Classroom Teacher course page on the official edX website. https://www.edx.org/course/analytics-for-the-classroom-teacher
Step 2: When the course page opens, you should see the ‘Enroll’ button right there; click on it.
Step 3: Candidates who already have an account on edX can click on ‘Sign in’ to access their account. Others will have to create an account or use their existing Google/Facebook/Apple/Microsoft account to register.
Step 4: Complete the application process by following on-screen instructions.
Application Details
There is no application form that candidates need to fill to apply to the programme. The process is straightforward and hassle-free. All they need to do is visit edX’s website, create an account, or register using their existing Google/Facebook/Apple/Microsoft account. Then they can apply to the Analytics for the Classroom Teacher programme and start learning for free.
The Syllabus
- Familiarisation of participants with the course structure, policies and outline.
- 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
- 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
- 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
- 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.
- Finalise their assignments
- Discuss their overall MOOC learning experience with their peers, and
- Reflect on their learning experience by submitting a course review and feedback survey.
Instructors
Curtin University, Perth Frequently Asked Questions (FAQ's)
If you want the completion certificate, you can purchase it.
Yes, the certificate is easily shareable, and you can add it directly to your LinkedIn profile.
No, this is an introductory course, and you can join even if you do not have any prior experience.
You need to put in around three to four hours of effort into this course every week.
Demetrios Sampson, Professor of Learning Technologies at Curtin University, is the course instructor.