Required texts

Required: 

You may purchase the required text through several book retailers such as: Amazon, Book Depository, and Booktopia, amongst others.

Text: Graham, L. (2020). Inclusive Education for the 21st Century: Theory, Policy and Practice. Taylor and Francis. 

Online course: NCCD for school leaders - https://www.nccd.edu.au/professional-learning/nccd-school-leaders-e-learn  

Recommended

Mitchell, D., & Sutherland, D. (2020). What really works in special and inclusive education. Using evidence-based teaching strategies. Routledge

Further readings and resources will be provided on the unit Canvas site. 

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 º¬Ðß²ÝÊÓƵ's Assessment Policy.

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Artificial Intelligence

Students may use generative artificial intelligence (GenAI) as indicated in the assessment instructions for this unit.

GenAI may only be used in authorised ways when completing assessments at º¬Ðß²ÝÊÓƵ. This means that GenAI can only be used for an assessment when:

1.     The Unit Convener has authorised its use for that assessment;

2.     The student uses it in the way that the assessment instructions allow for;

3.     The student fully acknowledges its use, with appropriate citations and references. Each  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 º¬Ðß²ÝÊÓƵ 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  provides further information, including how to reference GenAI.

Special assessment requirements

All assessment tasks are to be submitted. An aggregate mark of 50% is required to pass this 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 º¬Ðß²ÝÊÓƵ. 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.

º¬Ðß²ÝÊÓƵ students have to complete the annually to learn about academic integrity and to understand the consequences of academic integrity breaches (or academic misconduct).

º¬Ðß²ÝÊÓƵ 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 º¬Ðß²ÝÊÓƵ (Student Conduct) Rules 2023. For further advice, visit Study Skills.

Learner engagement

Approximate breakdown of workload:

Reading and private study: 80 hours

Workshop participation (Intensive days):   20 hours

Assessment tasks: 50 hours

Participation requirements

Online, asynchronous learning will take place during the Pre-Intensive and Post-Intensive phases of the unit.

Students are expected to attend and participate for the three full days of intensive workshops 12-14 April 2025.

Your participation in both the asynchronous modules and the Intensive phase will enhance your understanding of the unit content and therefore the quality of your assessment responses. Lack of participation may result in your inability to satisfactorily pass assessment items.

Required IT skills

Students in this unit are expected to be able to access information from online sources, prepare work and engage electronically with others in the unit. 

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

None

Work placement, internships or practicums

None

Additional information

Theoretical foundations

This unit draws heavily on recent research in the field of inclusive and special education from Australia and international sources.  In particular, research in the areas of multi-tiered models of learning and teaching are fundamental to this unit.

Research led Unit

This unit involves research-led education and learning. There are active researchers delivering this 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.

• Semester 1, 2025, Intensive, º¬Ðß²ÝÊÓƵ - Canberra, Bruce (224692)
• Semester 2, 2024, On-campus, º¬Ðß²ÝÊÓƵ - Canberra, Bruce (218565)
• Semester 1, 2024, Intensive, º¬Ðß²ÝÊÓƵ - Canberra, Bruce (218890)
• Semester 2, 2023, On-campus, º¬Ðß²ÝÊÓƵ - Canberra, Bruce (214495)
• Semester 1, 2023, Intensive, º¬Ðß²ÝÊÓƵ - Canberra, Bruce (212979)
• Semester 2, 2022, On-campus, º¬Ðß²ÝÊÓƵ - Canberra, Bruce (207892)
• Semester 1, 2022, Intensive, º¬Ðß²ÝÊÓƵ - Canberra, Bruce (205943)
• Semester 2, 2021, On-campus, º¬Ðß²ÝÊÓƵ - Canberra, Bruce (202005)
• Semester 1, 2021, Intensive, º¬Ðß²ÝÊÓƵ - Canberra, Bruce (200909)
• Semester 2, 2020, On-campus, º¬Ðß²ÝÊÓƵ - Canberra, Bruce (195926)
• Semester 1, 2020, Intensive, º¬Ðß²ÝÊÓƵ - Canberra, Bruce (198390)
• Semester 1, 2019, On-campus, º¬Ðß²ÝÊÓƵ - Canberra, Bruce (186859)
• Semester 2, 2018, On-campus, º¬Ðß²ÝÊÓƵ - Canberra, Bruce (182614)