With an explicit focus on counteracting poor rates of student engagement with weekly readings, as well as providing feedback-rich assessment, this technique adapts traditional online quizzes with the addition of a consultative in-class element. As a supplement to digitally-generated marks and detailed online feedback, students further deliberate on quiz questions in dedicated lectures or tutorials as part of open discussions or exercises tailored around specific quiz questions. This approach builds on the traditional value of quizzes to support comprehension-checking, to additionally foster collegiate discussion as well as higher level engagement in class activities. Based on cohort performance the coordinator develops questions or exercises that reinforce the content of those areas a majority find challenging; or which open discussion for the revision of course content. Class time is allocated to these sessions at the coordinator's discretion. In ENGL1500 this assessment additionally encourages deep reading of longform texts and fosters a pleasure in literary studies. Attributing final grades to pre-class reading tasks incentivises students to prioritise this assessment just as they prioritise essay or exams by appealing to a grade-centred, return on investment culture.

PLEASE NOTE: The academic integrity information displayed on this page is currently under review. Some examples and descriptions were developed before the widespread availability of generative AI tools and may not reflect current approaches to assessment security. When adapting an assessment idea, staff should consider how the design supports authorship, verifies student achievement of learning outcomes, and mitigates inappropriate use of AI and other forms of academic misconduct.

Details

CLASS SIZE
40-60
YEAR LEVEL
First year
ASSESSMENT SECURITY
Open
SUPERVISION STATUS
Not supervised
SUBMISSION MEDIUM
Text
ASSESSMENT DELIVERY MODE
Digital task
AUTHENTICITY CONTEXT
Reflective / Professional identity, Research‑based / Inquiry / Problem-based
CONDITIONS
Sequence
TAGS
technology enriched learning, feedback-rich, discussion prompt, quiz