| Date: |
17 Feb 2025 - 20 Apr 2025 |
Venue: |
Online
|
| Type: |
Scheduled (9 weeks) |
Fee: |
£200 |
| Course options: |
Monitored - £200 |
This introductory pilot offer of £200 will expire on 14 Feb at 12pm (UK time). The post-pilot monitored price will be £395.
Register for Feb 2025 pilot
Bookings for Feb pilot close 14 Feb at 12pm (UK time)
Since its launch in 2020, A103 has helped learners from various contexts make the most of their data.
After a thorough review process, A103 has been updated to ensure it more closely aligns with the data that assessment practitioners work with on a regular basis.
A103: Assessment Data and Statistics is our new online course that explores how to gather, interpret, and critically use assessment data to inform decisions and predict performance.
You can enrol in our discounted course pilot below. Post-pilot dates for later in the year will be released soon.
Upcoming courses
All courses are accredited for continuing professional development (27-30 hours of CPD), with certification and digital badges available on successful completion.
Over nine weeks you’ll:
- Understand the types, uses, and quality of data that can be gathered from assessments, including primary vs secondary and qualitative vs quantitative data.
- Learn how to critically evaluate the reliability and relevance of assessment data, including its shelf life and sources.
- Explore how assessment data is represented (e.g. grades, percentiles, standardised scores) and the reasons for using these formats.
- Develop the skills to use assessment data to make informed decisions about students, populations, and the assessments themselves.
- Discover how correlation and baseline assessments can be used to predict future student performance.
- Gain practical experience in interpreting and working with item-level data for formative and evaluative purposes.
- Build confidence in identifying and addressing issues with the use of assessment data in different contexts.
- Have anytime access to our virtual learning environment within the weekly schedule, enabling you to learn flexibly at your own pace.
- Connect with other practitioners as you share insights and discuss key topics in assessment data.
Course information
- This course would be particularly useful if you work with assessments or assessment data, including teachers, awarding bodies, or managers of assessment data. Because the course is online, it can be accessed from anywhere in the world.
- A basic level of statistical literacy (equivalent to core GCSE Statistics knowledge) is required.
- Average 3 hours per week over nine weeks
- Online group course delivered over 9 weeks featuring Monitor/Educator, discussion forum, and journal
- The updated A103: Assessment Data and Statistics course aligns more closely with current A10 courses, emphasising practical data use in assessment and offering new outcomes to further develop participants' skills, including those who have previously enrolled in A103: Introducing Data Literacy.
- Digital badge awarded and certification options are available.
- Identify the various forms of data that can be collected and obtained from assessments.
- Understand the different forms in which assessment data can be represented and identify which forms may be most appropriate for our purposes.
- Explore statistical and graphical methods that can be used to investigate and summarise assessment data.
- Critically use data gathered from assessments to make inferences about individual students, populations of students, and our assessments themselves.
- Understand how we can use assessment data to monitor and predict student performance, and appreciate the uncertainty involved in doing so.
| Week 1 |
What is assessment data? – In the first week, you’ll explore the different types of assessment data, including primary vs secondary and qualitative vs quantitative data, and understand their uses in educational contexts. |
| Week 2 |
Introduction to statistics for test data – This week introduces basic statistical concepts and methods for interpreting test data, providing the foundation for understanding how to analyse and present assessment results. |
| Week 3 |
Comparing assessment scores: Grades – You’ll learn how to compare assessment scores using different grading systems, and explore how grades reflect student performance and achievement. |
| Week 4 |
Comparing assessment scores: Normalisation and standardisation – This week focuses on the processes of normalisation and standardisation, teaching you how to adjust scores for consistency and fairness across different populations or assessments. |
| Week 5 |
Review and consolidation - Grading Exercise – You’ll review key concepts from the previous weeks and apply your knowledge in a practical grading exercise that reinforces your understanding of assessment data. |
| Week 6 |
Item-level data: Formative and evaluative purposes – This week covers how to interpret and use item-level data to assess student progress, providing both formative feedback for learners and evaluative insights for instructors. |
| Week 7 |
Predicting future performance – Explore how to use assessment data, including baseline assessments and correlations, to predict future performance and identify trends or areas needing attention. |
| Week 8 |
Critically using assessment data – You’ll develop skills to critically evaluate assessment data, considering factors such as reliability, bias, and the limitations of different data sources and formats. |
| Week 9 |
Seeing the larger picture – In the final week, you'll examine how to integrate and apply assessment data across different contexts, understanding the broader implications for student learning and educational practices. |
This course is designed for anyone who works with assessments or assessment data, including teachers, awarding bodies, or consumers of assessment data. A basic level of statistical literacy (equivalent to core GCSE Statistics knowledge) is required. Delivered entirely online, this course can be accessed from anywhere in the world.
The course will cover the following topics:
- Types, uses, and quality of assessment data
- How to critically evaluate data for decision-making
- Understanding how to represent and analyse assessment data
- Using data to predict future performance
- Building confidence in addressing issues in data usage
- Gaining practical experience with item-level data
A103 is an interactive online course with weekly reading to support your studies. You’ll also learn through participating in forum discussions with fellow students.
- Monitored - Online group course delivered over 9 weeks featuring Monitor/Educator, discussion forum, and journal - pilot price £200 per person. This will rise to £395 (£355.50 Members) after the pilot deadline.
Bookings are taken on a first-come, first-served basis. Once payment is received, we will confirm your place on the course. Payment can be made by credit or debit card (not incl. American Express) or by invoice.
The Monitored option of the course runs for 9 weeks, but there are no set times that you need to access the course. The weekly tasks can be completed whenever fits your existing schedule. We anticipate that you would need to allocate an average of 3 hours per week for study time.
The course is delivered in English, so participants are required to have sufficient competence in English to participate in the training. All participants should have English language competence comparable to Level B2 in the Common European Framework of Reference for Languages (CEFR). We recommend a minimum requirement of 5.5 on the International English Language Testing System (IELTS). Further information may be obtained through the IELTS website.
INDEPENDENT USER
B2 Vantage or upper-intermediate:
- Can understand the main ideas of complex text on both concrete and abstract topics, including technical discussions in their field of specialisation.
- Can interact with a degree of fluency and spontaneity that makes regular interaction with native speakers quite possible without strain for either party.
- Can produce clear, detailed text on a wide range of subjects and explain a viewpoint on a topical issue giving the advantages and disadvantages of various options.
For scheduled courses, you will receive an email with joining instructions on the Friday afternoon before the course starts. Please get in touch if you don't receive the email by the Saturday before the course starts and make sure to check any junk or spam folders first.
The A103 material is available from 5pm (UK time) on Fridays, but the week officially begins on Monday at 12:00 noon (UK time).
Please get in touch if you don't receive the email and we will take a look in case there was an issue with payment, but make sure to check any junk or spam folders first.
Statement of Participation (Certificate and digital badge)
You must provide evidence of your learning and participation by logging into each of the week's lessons, completing the activities, marking the activities as completed, and posting weekly on the discussion forum.
Certificate of Achievement (Certificate and digital badge)
In addition to the above, successful completion of an optional end-of-course assignment will enable you to claim a Certificate of Achievement. This course is CPD accredited and earns 27 hours of CPD when the completion criteria are fulfilled. An extra 3 hours of CPD is awarded with an assignment pass.
Both our Statement of Participation and Certificate of Achievement are awarded by Cambridge and include the CPD accreditation logo.
The revised version of A103: Assessment Data and Statistics has been updated to align more closely with our current A10 courses, ensuring consistency in structure and learning journey. Additionally, this version places a stronger focus on exploring the practical uses of data in assessment, equipping participants with the skills needed to gather, interpret, and apply assessment data effectively in real-world educational contexts.
If you have previously participated in A103: Introducing Data Literacy, this updated course offers new learning outcomes and practical applications which will lead to further development in your practice.
The purpose of the assignment is to provide you with an opportunity to reflect on all the topics covered in this course and to apply this learning to a sample data set, before reflecting on what approaches you could take to using assessment data within your own context. The assignment will allow you to demonstrate that you have understood the course material so that you can interpret, manage and use the kinds of data that have been described in practice.
Remember, the assignment is optional. However, if you want to claim a Certificate of Achievement, successfully completing the assignment is a requirement. If you choose to complete the assignment, you have three weeks to submit after the course has finished.