Abstract
Ginty, C., Henry, N., Antropova, O., (2024). Atlantic Technological University (ATU) Assessment Hackathon Big Ideas. Atlantic Technological University. Retrieved from ISBN 978-1-907592-24-9. Available to access and download https://issuu.com/atlantictechnologicaluniversity/docs/atu_assessment_hackathon_flipbook
In this special publication, nineteen assessment briefs are the formal outputs from the ATU education hackathon teams. The assessment briefs are grouped under four categories:
Category 1: Education Principles
Category 2: Guiding Principles
Category 3: Assessment Method
Category 4: Lesson Plan
Under the category of Education Principles, the briefs explore developing a culture
of academic integrity and ethical practices in students and staff, plus project-based
learning on AI.
The Guiding Principles category, covers sound advice on when and how it is appropriate for students to use AI in assessments and embracing the opportunities that AI offers to support the development of students’ foundational knowledge, understanding, skills, critical engagement, and self-expression.
On Assessment Methods, a guiding framework is presented that supports best practice in use of AI in relation to Blooms Taxonomy, and designing rubrics that students can use to critically evaluate the quality of AI-generated assessments.
The Lesson Plan category, presents approaches on how to investigate language models that can support and develop on assessment in response to the current and future working environment, acknowledging the challenges of plagiarism. Further briefs explore rethinking and rewriting programme or module learning outcomes in the age of AI and creating an assessment and feedback method, which develops sustainable critical thinking skills. A complete listing of the assessment briefs is available on page 30-31 and includes the full team names.
In this special publication, nineteen assessment briefs are the formal outputs from the ATU education hackathon teams. The assessment briefs are grouped under four categories:
Category 1: Education Principles
Category 2: Guiding Principles
Category 3: Assessment Method
Category 4: Lesson Plan
Under the category of Education Principles, the briefs explore developing a culture
of academic integrity and ethical practices in students and staff, plus project-based
learning on AI.
The Guiding Principles category, covers sound advice on when and how it is appropriate for students to use AI in assessments and embracing the opportunities that AI offers to support the development of students’ foundational knowledge, understanding, skills, critical engagement, and self-expression.
On Assessment Methods, a guiding framework is presented that supports best practice in use of AI in relation to Blooms Taxonomy, and designing rubrics that students can use to critically evaluate the quality of AI-generated assessments.
The Lesson Plan category, presents approaches on how to investigate language models that can support and develop on assessment in response to the current and future working environment, acknowledging the challenges of plagiarism. Further briefs explore rethinking and rewriting programme or module learning outcomes in the age of AI and creating an assessment and feedback method, which develops sustainable critical thinking skills. A complete listing of the assessment briefs is available on page 30-31 and includes the full team names.
| Original language | English (Ireland) |
|---|---|
| Publisher | Atlantic Technological University |
| Number of pages | 56 |
| Publication status | Published - Jan 2024 |