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The current and official versions of the course specifications are available on the web at https://www.usq.edu.au/course/specification/current.
Please consult the web for updates that may occur during the year.

EDM8100 Evidence of Learning in Teaching

Units : 1
School or Department : School of Education
Grading basis : Graded
Course fee schedule : https://www.unisq.edu.au/current-students/administration/fees/fee-schedules
Version produced : 22 March 2023


Pre-requisite: EDM5001 and (EDM5016 or EDM8000)


Data driven instruction is the core business of teachers’ work, enabling teachers with a process of practice that targets instruction to meet the needs of all students. Consisting of a cyclical set of stages, teachers collect, collate and analyse student data to inform planning. Throughout the cycle, teachers participate in critical reflection to consider their teaching practice and the impact of their teaching on student learning. In doing so, teachers have a mechanism by which their teaching can undergo continuous improvement for the benefit of all students.

The coursework in EDM8100 focuses upon the implementation of a data driven instruction cycle through the Graduate Teacher Performance Assessment (GTPA). The course requires pre-service teachers to gather evidence of the teacher they are becoming and evaluate the impact this has upon their learners as well as justifying their repertoire of teaching practices.

This course contains a 25-day placement and is the final Professional Experience Placement within the following contexts:

MELT program, the placement is in a school setting (in the English curriculum area) from Prep to Year 3 with preservice teachers observing at least one lesson in Yr 4 - Yr 6) for exposure to upper primary.

MPLT program, the placement is in a school setting (in the English curriculum area) from Prep to Year 6.

MSLT program, the placement is in a school setting from Year 7 to Year 12 which is guided by, but not limited to, the preservice teachers nominated teaching areas.

Students need to pass the competency Assessment in this Course and reach a total passing Mark of 50% to be awarded a passing Grade in this course. Failure of the Professional Experience component will result in a fail grade for the course, regardless of the graded mark. Full details of the Professional Experience particulars can be found on the Professional Experience website and in the Professional Experience Book.

Course offers

Study period Mode Campus
Semester 1, 2023 External
Semester 2, 2023 External
Date printed 22 March 2023