ITLN3685: Semester 2, 2025

Units ITLN3685 Semester 2 2025 [Normal day]

Unit outline_

ITLN3685: Linguistic Issues in Migration

Semester 2, 2025 [Normal day] - Camperdown/Darlington, Sydney

Overview

This unit of study examines the main linguistic phenomena that occur in the contact between majority and minority languages in a context of migration, using the Italo-Australian community as a case.

Unit details and rules

Academic unit	Italian Studies
Credit points	6
Prerequisites ?	ITLN2611 or ITLN2612 or ITLN2631 or ITLN2632 or ITLN3611 or ITLN3612 or ITLN3631
Corequisites ?	None
Prohibitions ?	ITLN3754
Assumed knowledge ?	None
Available to study abroad and exchange students	No

Teaching staff

Coordinator	Antonia Rubino, antonia.rubino@sydney.edu.au

Assessment

The census date for this unit availability is 1 September 2025

Details
Criteria

Type	Description	Weight	Due	Length	Use of AI
Written work	Essay Final essay	30%	Formal exam period Due date: 19 Nov 2025 at 23:59	2000 words	AI allowed
Outcomes assessed:
Presentation	Oral presentation in-class presentation including submitted work	20%	Multiple weeks	10 minutes, equiv to 1500 wds	AI allowed
Outcomes assessed:
Interactive oral	Seminar Participation In-class	10%	Ongoing	Throughout semester	AI prohibited
Outcomes assessed:
Written work	Take-home assignment Take-home assignment	15%	Week 08 Due date: 25 Sep 2025 at 23:59	equiv to 1000 words in total.	AI allowed
Outcomes assessed:
In-person written or creative task	Class test on Canvas	25%	Week 12	1500 words (1 hr)	AI prohibited
Outcomes assessed:
= group assignment ?

Assessment summary

More detailed information about each assessment task is provided in Canvas.

Assessment criteria

High distinction	85 - 100
Distinction	75 - 84
Credit	65 - 74
Pass	50 - 64
Fail	0 - 49	When you don’t meet the learning outcomes of the unit to a satisfactory standard.

For more information see guide to grades.

Use of generative artificial intelligence (AI)

You can use generative AI tools for open assessments. Restrictions on AI use apply to secure, supervised assessments used to confirm if students have met specific learning outcomes.

Refer to the assessment table above to see if AI is allowed, for assessments in this unit and check Canvas for full instructions on assessment tasks and AI use.

If you use AI, you must always acknowledge it. Misusing AI may lead to a breach of the Academic Integrity Policy.

Visit the Current Students website for more information on AI in assessments, including details on how to acknowledge its use.

Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

Deduction of 5% of the maximum mark for each calendar day after the due date.
After ten calendar days late, a mark of zero will be awarded.

Academic integrity

The University expects students to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.

Our website provides information on academic integrity and the resources available to all students. This includes advice on how to avoid common breaches of academic integrity. Ensure that you have completed the Academic Honesty Education Module (AHEM) which is mandatory for all commencing coursework students

Penalties for serious breaches can significantly impact your studies and your career after graduation. It is important that you speak with your unit coordinator if you need help with completing assessments.

Visit the Current Students website for more information on AI in assessments, including details on how to acknowledge its use.

Learning support

Simple extensions

If you encounter a problem submitting your work on time, you may be able to apply for an extension of five calendar days through a simple extension.  The application process will be different depending on the type of assessment and extensions cannot be granted for some assessment types like exams.

Special consideration

If exceptional circumstances mean you can’t complete an assessment, you need consideration for a longer period of time, or if you have essential commitments which impact your performance in an assessment, you may be eligible for special consideration or special arrangements.

Special consideration applications will not be affected by a simple extension application.

Using AI responsibly

Co-created with students, AI in Education includes lots of helpful examples of how students use generative AI tools to support their learning. It explains how generative AI works, the different tools available and how to use them responsibly and productively.

Support for students

The Support for Students Policy reflects the University’s commitment to supporting students in their academic journey and making the University safe for students. It is important that you read and understand this policy so that you are familiar with the range of support services available to you and understand how to engage with them.

The University uses email as its primary source of communication with students who need support under the Support for Students Policy. Make sure you check your University email regularly and respond to any communications received from the University.

Learning resources and detailed information about weekly assessment and learning activities can be accessed via Canvas. It is essential that you visit your unit of study Canvas site to ensure you are up to date with all of your tasks.

If you are having difficulties completing your studies, or are feeling unsure about your progress, we are here to help. You can access the support services offered by the University at any time:

Support and Services (including health and wellbeing services, financial support and learning support)
Course planning and administration
Meet with an Academic Adviser

Weekly schedule

WK	Topic	Learning activity	Learning outcomes

Attendance and class requirements

Class participation mark is awarded on the basis of (i) evidence of regular preparation for the seminars, and (ii) informed performance in class. Before coming to each class, you need to complete the required readings posted through Canvas, as listed in the weekly program.

Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

Required readings

Please access all required readings through Canvas.

Learning outcomes

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University's graduate qualities and are assessed as part of the curriculum.

Outcomes
Graduate qualities

At the completion of this unit, you should be able to:

LO1. Possess a body of knowledge relevant to the field of migration linguistics and be able to evaluate different research methodologies relevant to the field
LO2. Acquire and evaluate new knowledge through independent research; think independently, analytically and creatively; exercise critical judgement and and critical thinking
LO3. Be informed and open-minded about social, cultural and linguistic diversity in Australia and elsewhere
LO4. Possess a high standard of oral, written and visual communication skills
LO5. Recognise the importance of continuing to develop oral and written communication skills in more than one language
LO6. Use appropriate media, tools and methodologies to locate, access and use information

Graduate qualities

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

GQ1	Depth of disciplinary expertise Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline.
GQ2	Critical thinking and problem solving Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem.
GQ3	Oral and written communication Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context.
GQ4	Information and digital literacy Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies.
GQ5	Inventiveness Generating novel ideas and solutions.
GQ6	Cultural competence Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues.
GQ7	Interdisciplinary effectiveness Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries.
GQ8	Integrated professional, ethical, and personal identity An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context.
GQ9	Influence Engaging others in a process, idea or vision.

Outcome map

Learning outcomes	Graduate qualities
Learning outcomes

Responding to student feedback

This section outlines changes made to this unit following staff and student reviews.

This Unit was last offered in 2023. Students were very pleased with it, and expressed favourable comments about the content, the critical and analytical skills that they developed, and the quality of teaching. Some of the assessment tasks have been modified, in line with the University's policy on AI.

Additional information

Please note that if you are using any AI tools for your work, you are required to include them in the assignments that you hand in, specifying the way you have used them.

Disclaimer

The University reserves the right to amend units of study or no longer offer certain units, including where there are low enrolment numbers.

To help you understand common terms that we use at the University, we offer an online glossary.

Current students

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Use of generative artificial intelligence (AI)

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Support for students

Weekly schedule

Weekly schedule

Attendance and class requirements

Study commitment

Required readings

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Additional information

Additional information

Disclaimer

On this page

Useful links