Wananga Landing Wananga Landing
Short Course

Designing Authentic Assessment in the Age of Artificial Intelligence

13 February 2025

Generative artificial intelligence presents both challenges and opportunities for educators. In this course, you’ll learn how AI tools for teachers can strengthen and streamline your assessment process.

HOW TO APPLY

Price

Domestic learners

$395 NZD incl GST where applicable

International learners

$821 NZD incl GST where applicable

Qualification

Short course

Duration

20 hours

Entry times

3 November 2025*
2 February 2026
9 March 2026
27 April 2026

*For the best learning experience, we recommend 5 hours of study per week over 4 weeks. Learning must be completed within 2 months. 

Enrolments open for November and February

Enrol for 2 February

Overview

As part of our AI for educators series, this course will help you strengthen and streamline your assessment process. You can also gain the core generative AI competencies educators need, and learn how to combine academic integrity and AI to empower student achievement (coming soon). 

Generative artificial Intelligence (GenAI) offers educators powerful tools to streamline grading, support feedback and formative assessment, and design more effective assessment tasks. This course will help you keep pace with this fast-developing technology in your teaching practice. 

In this short course, you’ll discover how to make the most of generative AI to create smarter, more efficient assessment strategies. Learn how generative AI can help you as a teacher to create meaningful assessments, streamline grading processes, and provide tailored feedback that supports student growth — all while maintaining academic integrity and ethical teaching practices.

Through hands-on practice, you’ll gain experience with AI tools designed to simplify your workload and improve outcomes for your ākonga | students. 

Build your confidence and skills to reshape the way you assess and engage with students using generative AI in just 20 hours. 

This course is ideal for

  • Secondary teachers
  • Tertiary lecturers and educators
  • Leaders in education
Two smiling female teachers use a laptop to research generative AI tools that can strengthen their assessment process.

What you'll learn

  • How to use GenAI tools to support grading and feedback
  • The implications, suitability and limitations of using GenAI to support grading and feedback
  • How to evaluate the effective integration of AI tools into the feedback process
  • How to create guidelines for responsible use of GenAI in assessment

This course aims to build upon a fundamental understanding of generative AI to focus on how it can support, enhance and deliver authentic assessment. Despite the challenges, can we use AI to help us make the assessment process more efficient and effective for educators and students alike? This course aims to answer these questions. Learners will be introduced to implications and challenges of using generative AI in assessment and learn tips and techniques for building authentic assessment using AI. 

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How it works

 

Designing Authentic Assessments in the Age of AI is flexible, enabling you to plan your study around your other commitments. You can choose to complete the 20 hours of study when it suits you during the learning period. 

We recommend completing around 5 hours of study per week over 4 weeks, but you'll have 8 weeks to complete all learning. 

Nervous about studying online?
You'll start your course with an optional UC Online Essentials course, giving you a chance to get familiar with the learning management system (LMS). Learn more about how online study with us really works.

Online, not alone
Study anywhere, feel supported everywhere. This accelerated learning course is designed to help you gain new skills quickly and effectively — maximum learning and minimum time commitment. This means there will not be a dedicated course facilitator, but our Enrolment Support and Learner Support teams are always here to help.

Qualification
This is a standalone course that recognises the achievement of specific skills, experience, or knowledge. There are no academic points associated with this course.

Recognition
Upon successful completion of the course you will be issued a digital badge to recognise your learning achievements. 

Course outline

The course is divided into four modules you'll work your way through over the learning period. Each module includes specific learning objectives, educational content across a range of media, activities to apply what you've learnt, plus a 'temperature check' survey to make sure you're getting what you need as a learner. 

Module 1: Opportunities & challenges of AI in assessment
Discuss the wider implications of generative AI in assessment design and analyse how it impacts teaching practice. 

Module 2: Developing assessments with AI
Learn how to draft assessment items using AI to align with learning outcomes and corresponding rubrics for measuring success. Build practical tools you can use to check for cultural relevance, context-appropriateness and inclusivity.

Module 3: Helping students navigate AI use in assessments
Explore how you as a teacher can assist students to select and apply appropriate AI tools to complete assessments. 

Module 4: Using AI to support grading and feedback
Understand and critically evaluate the ethical, legal, and practical implications of using GenAI in assessment and propose guidelines for responsible use within your teaching context.

Assessments
To complete this course, you need to have attempted all activities and quizzes, as well as the final reflection activity.

Ready to start learning?

Enrol now for November or February.

Enrol for 3 November
Enrol for 2 February

Requirements

There are no prerequisites for this course – it is open to anyone who has confidence listening, reading, and writing in English.

This course is designed for teachers, educators and academics – if you're not a teacher, please contact us via info@uconline.ac.nz to check if this course is right for you. 

Technology requirements 

  • We recommend a laptop or desktop computer and a reliable internet connection.
  • A PDF reader (like Adobe Acrobat Reader DC) to download PDFs with assessment instructions.
  • Word processing software (like Microsoft Word or Google Docs) to complete your assignments.

Course fees
Course fees must be paid before learning can begin, either via online credit-card payment, or by contacting info@uconline.ac.nz to request an invoice. Please note: fixed invoice payment dates apply, so we recommend getting in touch with us as soon as possible to request an invoice, as this option is subject to availability.

Group discounts
Get your colleagues together to take advantage of our group discounts: 

  • 10% for 3 - 6 learners
  • 15% for 7+ learners

Contact our Enrolment Support Team to learn more and enquire now.

Withdrawals and refunds
Once learning begins, you are eligible for a withdrawal with refund up until the end of day 3. After this date, refunds may be available if your circumstances are exceptional, for example if you've experienced a serious medical event.

Our people

Dr David Parsons, academyEX Research Director and Adjunct Professor at the University of Canterbury
Dr David Parsons
Research Director, academyEX, and Adjunct Professor, University of Canterbury

Dr David Parsons has broad international experience in academia and the software industry. He holds a PhD in Information Technology and has research interests in the role of AI and digital technologies in education, agile and lean thinking, curriculum design, and contemporary software development.

He has produced over 200 publications, including several technology-focused books, and has developed and delivered micro-credentials in digital skills for the workplace and software development processes and tools.

Read more
Dr Kathryn MacCallum, Associate Professor of Digital Education Futures at the University of Canterbury.
Dr Kathryn MacCallum
Associate Professor, Digital Education Futures, University of Canterbury, School of Leadership and Professional Practice in Education

Kathryn MacCallum is an Associate Professor of Digital Education Futures and head of the University of Canterbury’s School of Leadership and Professional Practice in Education.

She’s established a strong research background that focuses on integrating digital tools into a tertiary curriculum.

She’s led and been involved in several research projects that explore the role of technology (and more recently AR and VR) to support learners.

Read more

Please note: our academic team develop and present video content within their courses, but are not always available to answer queries. Our learner experience team will be available to answer queries via support@uconline.ac.nz

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