Primary Mathematics - Differentiated Classroom Practice PG (11346.2)
Available teaching periods | Delivery mode | Location |
---|---|---|
View teaching periods | Online self-paced On-campus |
Bruce, Canberra |
EFTSL | Credit points | Faculty |
0.125 | 3 | Faculty Of Education |
Discipline | Study level | HECS Bands |
Academic Program Area - Education | Post Graduate Level | Band 1 2021 (Commenced After 1 Jan 2021) Band 1 2021 (Commenced Before 1 Jan 2021) |
Learning outcomes
After successful completion of this unit, students will be able to:1. Construct pedagogical learning experiences to assist with differentiation within the classroom;
2. Recognise individual student learning strengths and challenges in the acquisition of mathematical knowledge and skills, including sociocultural and linguistic diversity;
3. Identify common challenges in mathematic knowledge and skill acquisition, and produce strategies to effectively support student understanding; and
4. Develop a coherent differentiated mathematics programme which demonstrates appropriate sequencing, scaffolding, and inclusive practice.
Graduate attributes
1. UC graduates are professional - communicate effectively1. UC graduates are professional - employ up-to-date and relevant knowledge and skills
1. UC graduates are professional - use creativity, critical thinking, analysis and research skills to solve theoretical and real-world problems
2. UC graduates are global citizens - communicate effectively in diverse cultural and social settings
2. UC graduates are global citizens - make creative use of technology in their learning and professional lives
2. UC graduates are global citizens - understand issues in their profession from the perspective of other cultures
3. UC graduates are lifelong learners - adapt to complexity, ambiguity and change by being flexible and keen to engage with new ideas
3. UC graduates are lifelong learners - reflect on their own practice, updating and adapting their knowledge and skills for continual professional and academic development
Prerequisites
11341 Primary Mathematics - Teaching for Understanding GCorequisites
None.Incompatible units
None.Equivalent units
None.Assumed knowledge
None.Year | Location | Teaching period | Teaching start date | Delivery mode | Unit convener |
---|---|---|---|---|---|
2025 | Bruce, Canberra | Semester 1 | 03 February 2025 | Online self-paced | Mrs Nicola Kovacs |
2025 | Bruce, Canberra | Semester 1 | 03 February 2025 | On-campus | Mrs Nicola Kovacs |
Required texts
The required text for this unit is the following:
- Dianne Siemon, Elizabeth Warren, Kim Beswick, Rhonda Faragher, Jodie Miller, Marj Horne, Dan Jazby, & Margarita Breed. (2021) Teaching Mathematics: Foundations to Middle Years (3rd ed.)
This book is available via the library in both hard copy and digital versions. It is also available as part of the Revised Ed Value Pack from Oxford University Press. This pack also includes the following:
- Peter Sullivan, Pat Lilburn (2017) Open Ended Maths Activities Revised Edition
This text is only available in hard copy format in the 3 hour short term section of the library.
Submission of assessment items
Extensions & Late submissions
Approval of extenuating circumstances will be dependent upon the production of supporting documentation and at the discretion of the unit convener.
All assessment items required to be submitted online must be submitted via the appropriate Canvas drop box. It is the student's responsibility to upload the correct and corresponding draft or assessment item to the right submission section. Assignments must be submitted in a format accessible to the assessor(s), as stated on the relevant canvas site. If the unit convener and/or tutor are unable to access a submission, or if no submission has been made by the due date and time, a standard late penalty of 10% of the total marks possible for the task may be applied per day, for three days, after which the submission will receive a score of ‘0' in keeping with UC's Assessment Policy.
Artificial Intelligence
Students are not allowed to use generative artificial intelligence (GenAI) in assessments for this unit.
GenAI may only be used in authorised ways when completing assessments at UC. This means that GenAI can only be used for an assessment when:
- The Unit Convener has authorised its use for that assessment;
- The student uses it in the way that the assessment instructions allow for;
- The student fully acknowledges its use, with appropriate citations and references. Each referencing guide provided by the Library provides advice on how to appropriately reference the use of GenAI in-text.
Where the assessment instructions do not specifically state that GenAI may be used and how, then its use is not allowed for that assessment. If students are unsure, they should seek advice from the Unit Convener.
Students should be aware that the University of Canberra utilises GenAI detection software. Suspected instances of unauthorised GenAI use may lead to a Learning Validation Conversation' designed to provide assurance that a student is able to demonstrate relevant knowledge and skills to meet required learning outcomes. Students who are suspected of having misused GenAI in assessment may be required to attend a summary inquiry for suspected misconduct.
It is strongly recommended that students keep records of the development process for all works submitted for assessment, or drafts of work submitted for a work-in-progress review, in a learning portfolio or equivalent. Failure to provide evidence of the development process for assessment may influence a suspicion of GenAI misuse or other forms of academic misconduct.
The GenAI for Students Library Guide provides further information, including how to reference GenAI.
Special assessment requirements
A 50% aggregate mark across all assessments is required to pass the unit.
Provision of valid documentation
Please note that the University takes student conduct very seriously. All documentation provided to University staff must be valid and the provision of fraudulent documentation carries with it potentially serious consequences, including suspension and/or exclusion from the University. Note that all allegations of student misconduct will be referred to the Associate Dean for Education (ADE) as a prescribed authority for investigation.
Students must apply academic integrity in their learning and research activities at UC. This includes submitting authentic and original work for assessments and properly acknowledging any sources used.
Academic integrity involves the ethical, honest and responsible use, creation and sharing of information. It is critical to the quality of higher education. Our academic integrity values are honesty, trust, fairness, respect, responsibility and courage.
UC students have to complete the Academic Integrity Module annually to learn about academic integrity and to understand the consequences of academic integrity breaches (or academic misconduct).
UC uses various strategies and systems, including detection software, to identify potential breaches of academic integrity. Suspected breaches may be investigated, and action can be taken when misconduct is found to have occurred.
Information is provided in the Academic Integrity Policy, Academic Integrity Procedure, and University of Canberra (Student Conduct) Rules 2023. For further advice, visit Study Skills.
Learner engagement
Students can expect:
Workshops and online activities: 50 hours
Assessment Tasks: 50 hours
Reading and private study: 50 hours
Participation requirements
Successful engagement with all learning activities in this accredited Initial Teacher Education course is necessary to demonstrate that you have met the Graduate career stage of the Australian Professional Standards for Teachers (AITSL, 2011).
This is a unit that is delivered to both online and on-campus students. While on-campus students will have regular timetabled activities, online students will be able to study in your own time. The course content is designed in weekly blocks that do not require online students to attend any timetabled activities unless specifically stated. There may be optional timetabled activities to further support your learning that online students can choose to attend. Assessment deadlines will apply.
Required IT skills
It is expected that students will have sufficient IT skills to prepare and submit the required assignments in digital form. This includes having a familiarity with Canvas and Ouriginal text matching software.
Artificial intelligence services must not to be used for assessment or assessment preparation by students unless explicitly allowed in the assessment instructions for an assessment task published with the assessment task and/or in the unit outline. That is, an artificial intelligence services may only be used if:
- its use is authorised by the unit convener as part of a specified
assessment task, and - it is used in the way allowed in the assessment instructions and/or unit outline, and
its use is appropriately referenced, meaning that students must reference the use of AI in their assessment in the same way as they reference other source material.
In-unit costs
Nil
Work placement, internships or practicums
None
Additional information
Research Led Education: There are active researchers teaching the unit who are able to engage students in deep and active learning and transmit to students their passion for the research they are carrying out.