JPNS1611: Intensive November - December, 2022

University home

Library

Current students

Staff intranet

Find an event

Give

Current students

Units JPNS1611 Intensive November - December 2022 [Block mode]

Unit outline_

JPNS1611: Japanese 1

Intensive November - December, 2022 [Block mode] - Remote

Overview

This beginners' unit introduces basic communication skills in understanding and speaking Japanese. Students will also learn to write the two Japanese syllabaries and approximately 60 kanji characters and to recognise at least 100 kanji characters in context. Relevant socio-cultural information is integrated with the language learning.

Unit details and rules

Academic unit	Japanese Studies
Credit points	6
Prerequisites ?	None
Corequisites ?	None
Prohibitions ?	HSC Japanese Continuers or HSC Japanese Beginners or HSC Japanese Background Speakers or JPNS1113 or JPNS1114 or JPNS1111 or HSC Japanese Extension
Assumed knowledge ?	None
Available to study abroad and exchange students	Yes

Teaching staff

Coordinator	Matthew Stavros, matthew.stavros@sydney.edu.au

Type	Description	Weight	Due	Length
Online task	Online activities Online quizzes, voice recordings	15%	Multiple weeks	1000 words
Outcomes assessed:
Tutorial quiz	2 X classroom quiz Classroom tests	15%	Multiple weeks	250 words
Outcomes assessed:
Participation	Participation Participation	5%	Ongoing	N/A
Outcomes assessed:
Small test	Listening test n/a	10%	Week 03	800 words
Outcomes assessed:
Small test	Speaking test Oral communication with teacher	15%	Week 03	1000 words
Outcomes assessed:
Online task	Summary Test Summary of the unit.	40%	Week 03	1200 words.
Outcomes assessed:

Assessment summary

Detailed information for each assessment can be found on Canvas.

Assessment criteria

The University awards common result grades, set out in the Coursework Policy 2014 (Schedule 1).

As a general guide, a High distinction indicates work of an exceptional standard, a Distinction a very high standard, a credit a good standard, and a pass an acceptable standard.

Result name	Mark range	Description
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.

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 Current Student website provides information on academic integrity and the resources available to all students. The University expects students and staff to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.

We use similarity detection software to detect potential instances of plagiarism or other forms of academic integrity breach. If such matches indicate evidence of plagiarism or other forms of academic integrity breaches, your teacher is required to report your work for further investigation.

Use of generative artificial intelligence (AI) and automated writing tools

You may only use generative AI and automated writing tools in assessment tasks if you are permitted to by your unit coordinator. If you do use these tools, you must acknowledge this in your work, either in a footnote or an acknowledgement section. The assessment instructions or unit outline will give guidance of the types of tools that are permitted and how the tools should be used.

Your final submitted work must be your own, original work. You must acknowledge any use of generative AI tools that have been used in the assessment, and any material that forms part of your submission must be appropriately referenced. For guidance on how to acknowledge the use of AI, please refer to the AI in Education Canvas site.

The unapproved use of these tools or unacknowledged use will be considered a breach of the Academic Integrity Policy and penalties may apply.

Studiosity is permitted unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission as detailed on the Learning Hub’s Canvas page.

Outside assessment tasks, generative AI tools may be used to support your learning. The AI in Education Canvas site contains a number of productive ways that students are using AI to improve their learning.

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.

Weekly schedule

WK	Topic	Learning activity
Week 01	Week starting on 28 Nov 2022 -- Day 1 (Mon) Introduction & Lesson 1 - Day 2 (Tue) Lesson 2 - Day 3 (Thu) Lesson 3 - Day 4 (Fri) Lesson 3	Online class (18 hr)
Week 02	Week starting on 5 Dec 2022 -- Day 5 (Mon) Lesson 4 - Day 6 (Tue) Lesson 4 - Day 7 (Thu) Lesson 5 - Day 8 (Fri) Lesson 5	Online class (18 hr)
Week 03	Week starting on 12 Dec 2022 -- Day 9 (Mon) Lesson 6 - Day 10 (Tue) Lesson 6 - Day 11 (Thu) Listening Test & Speaking Test - Day 12 (Fri) Final Test	Online class (18 hr)

Attendance and class requirements

Attendance: Students are expected to attend every class meeting and participate actively.
For Zoom classes, students should have their cameras turned ON when possible.
Students currently residing in a different time zone will need to plan accordingly, and contact the coordinator with any questions or concerns.
Preparation: Students should commit to spend approximately three hours’ preparation time (reading, studying, homework, essays, etc.) for every hour of scheduled instruction.
Assessments: All assessments are compulsory. Failure to attend or submit any of the following assessments: Language&Culture Test, Listening Test, Speaking Test, or Final Exam will lead to an Absent Fail grade for the whole unit, whatever your other marks are.

See Canvas for more details.

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

Textbook: An Integrated Course in Elementary Japanese Genki I Textbook [THIRD EDITION], by Eri Banno et al. The Japan Times, 2020
Workbook: An Integrated Course in Elementary Japanese Genki I Workbook [THIRD EDITION], by Eri Banno et al. The Japan Times, 2020.

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. demonstrate basic written and oral competence in Japanese on issues requiring simple and direct exchange of information on familiar and routine matters
LO2. acquire preliminary knowledge of several aspects of Japanese culture and society
LO3. acquire through the study of a different language and a different culture, and of their relationships, critical thinking skills in intercultural exchanges.

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.

The content of the Unit of Study is updated each semester, and student feedback is taken into account.

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

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

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

Disclaimer

On this page

Useful links

Media

Student links

About us

Connect