Webinar duration: 90 minutes
Presenter(s): Jaslene Lin - Australia
While noting many innovative teaching opportunities associated with hybrid course delivery, it has sparked many challenges. One of them is safeguarding academic integrity when assessing student learning in a virtual environment, particularly significant for first-year courses with large student enrolment. A flow-on challenge is to provide timely and constructive feedback to students after each assessment. As a result, it calls for a reproducible process to streamline the generation of online tests that tackle the above two challenges.
This virtual webinar will introduce an open-source R/exams package written in R programming language to automatically generate a range of exercise types with various output formats. More specifically, it will demonstrate how to create classes of questions, including single correct answers, multiple correct answers, numeric answers and strings in the context of a first-year introductory statistics unit. In addition, it will demonstrate how to import the output in the format of XLM to Moodle, a Learning Management System (LMS) commonly used by universities worldwide. This virtual webinar is organised to be a hands-on workshop where a brief walkthrough of the key features of the R/exams package is presented, followed by an interactive session where participants get to play around with the package. The webinar will conclude with a joint discussion to share your feedback, insights and brainstorm to improve university assessment practices.