Designing Authentic Assessment in the Age of Artificial Intelligence
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.
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
28 April – 25 May 2025
Future dates
30 May 2025
14 July 2025
18 August 2025
29 September 2025
3 November 2025
Enrolments open for April and May
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
Stay updated on future enrolment dates
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
Course outline
Our courses are flexible, enabling you to plan your study around your other commitments. You can choose to study when it suits you during the learning period (28 April – 25 May or 30 May – 29 June).
This short course will require around 20 hours of study during the learning period – view the course overview for more details.
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
All assessments are self-assessments and completion of the course is determined by completion of all the learning modules and the self-assessment activities.
Upon successful completion of the course you will be issued a digital badge to recognise your learning achievements.
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. For most courses you'll need to download and populate assignments. These are usually available as Microsoft Word documents.
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 Partnerships Manager to learn more and enquire now.
Cap & minimum enrolment threshold
A minimum number of learners is needed for effective interaction and feedback, while a maximum cap of learners ensures high quality learning and support. If the minimum number of enrolments required for a course isn’t met, or the maximum cap is exceeded, learners will be given the option to defer their study or receive a refund.
Our people
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.
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.
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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