The Evidence-based Management (EBMa) course provides students enrolled in programs at RSM with competencies centered around evidence that they are expected to develop and maintain throughout their studies and ultimately translate into their working life. EBMa involves the conscientious, explicit and judicious use of the best available evidence about and within business organisations for decision-making. This course equips students with fundamental knowledge about EBMa and evidence, and how it strengthens decision-making and practice in business and organisations. Students will explore evidence in organisational settings and the integration of evidence with particular decisions and actions in practice. Students will be able to translate principles of best available evidence to management practice and ethical decision-making, and as well to reflect on how to use evidence and their position to improve on their learning experience.

Learning Outcomes

Upon successful completion, students will have the knowledge and skills to:

1. describe Evidence-based practice (EBP) in management and its basic principles and its core and functional capabilities
2. formulate problems that require decision-making based on evidence-based principles and capabilities (ASK)
3. create search strategies to acquire the best available evidence relevant to a problem (ACQUIRE)
4. ascertain the methodological appropriateness, quality, and trustworthiness of evidence (APPRAISE)
5. integrate different types of relevant evidence to answer questions (AGGREGATE)
6. design and implement evidence-based interventions and solutions to a problem that take into account their social and ethical implications (APPLY)
7. evaluate feedback obtained about interventions to determine needs for further action (ASSESS)
8. generate insights and decision-making awareness through self-reflection (ASSESS).

Research-Led Teaching

Evidence-based Management education is itself research-based. The approach to learning in this course is grounded in cognitive theories of learning which best support the development of critical thinking and meta-cognitive skills. The content is based on robust research, and in turn decision-making skills are developed. Managers and leaders taking this course will be positioned to ask the right questions, think critically, and acquire the best possible information with which to make management decisions. In this course students will learn to think critically about management problems and their solutions in terms of research findings published in academic journals in addition to other sources of evidence.

Complementing the academic focus of the course, the convenor has several decades of industry experience using the tools and techniques of Evidence-Based Management and has framed the delivery and the assessment structure to reflect a very practical application of the course concepts that will assist students to transfer the research-led teaching into industry practice. All assessment tasks offer the opportunity for students to develop their skills in accessing and understanding research literature, and students will see benefits from these skills throughout their studies at ANU as well as in their industry practice.

Field Trips

There are no field trips in this course.

Additional Course Costs

A headset or earphones with a microphone is advisable for attendance at teaching sessions. Low-cost quality is adequate to meet this requirement.

No other additional courses costs are expected for this class.

Examination Material or equipment

There is no formal examination for this course.

Required Resources

All required resources or readings will be advised on Canvas.

Recommended Resources

Textbook: The textbook for this course is:

Barends, E & Rousseau, D M, 2018, Evidence-based management: How to use evidence to make better organizational decisions, Kogan Page, UK.

A copy will be provided to students. Further copies may be obtained through the campus bookshop, and as well a copy of the textbook will be held in the ANU library reserve & short loan collection. The ANU Library e-book copy can be found here in the library catalogue. Please contact the Course Convener if you have difficulty getting access to the book.

Other required resources: All other required reading materials will be provided on Canvas.

In-session resources: Students are required to bring an internet-connected device (tablet or laptop) with Microsoft Excel and Teams to each session. The device will be used for information search, solution development during in-class discussions, and participation in hybrid teaching.

Staff Feedback

Feedback: Rubrics are provided for all assessment items so that students can plan their work and can identify areas for improvement. Students may receive feedback in any of the following ways:

1. Written or rubric-based qualitative feedback.
2. Synchronous live feedback to individual learners or consolidated for the whole class.
3. Feedback in numeric, tabular, and graphical formats, and/or comments provided by video or audio recording or in writing; feedback can be both to individual learners and consolidated for the whole class.
4. Peer feedback during workshops or discussion forums.
5. Individual feedback can be provided to students in consultation with the teaching team by email or by appointment. If an appointment is required for a telephone call, online chat, in-person meeting or online video meeting, students should email the tutor, lecturer, or Convenor to make an appointment.

Disagreement and dispute of assessment marks and feedback: ANU has policies and procedures to be followed in respect of disagreement with assessment marks or feedback (see under EDUCATIONAL POLICIES). However, it is suggested that any disagreement with assessment marks and feedback be addressed initially by email to the Convenor, including a clear description of the area(s) of dispute.

Student Feedback

ANU is committed to the demonstration of educational excellence and regularly seeks feedback from students. Students are encouraged to offer feedback directly to their Course Convener or through their College and Course representatives (if applicable). The feedback given in these surveys is anonymous and provides the Colleges, University Education Committee and Academic Board with opportunities to recognise excellent teaching, and opportunities for improvement. The Surveys and Evaluation website provides more information on student surveys at ANU and reports on the feedback provided on ANU courses.

Other Information

Important: Updates and announcements for this course will be circulated via emails and/or Canvas site. Students should ensure that their official ANU email address is effective and that they have access to Canvas. Students should check their ANU email address daily during teaching periods.

Class formats: Resources including core content, academic research articles, and other audio, visual, or textual resources will be made available online through Canvas. There will be regular seminars held with the teaching team that include small group work. To gain the greatest effect from these seminars students are expected to study the weekly prescribed chapter/content and readings prior to the workshops, and work on the related assessment tasks online through Discussion Forum posts on Canvas over the following weeks as well as through workshop participation. The weekly seminar/workshop will be held synchronously on Teams. See the Canvas page for details of the schedule.

Student consultation:  

• Consultation requests to students will be circulated by Course Announcements or by email.
• Every effort will be made to respond to student queries as soon as possible, and within 2 business days unless there are special circumstances. The preferred initial method of contact is email, with other forms of telecommunications (such as online consultation, chat, or phone) used where appropriate.
• Where students' circumstances (eg, time zone, working arrangements, caring responsibilities, etc) make the standard consultation times difficult they are encouraged to email to arrange a more appropriate time for personal consultation.

Online learning: This course is delivered in an hybrid mode and accordingly enables online teaching. Online teaching and learning does not mean that students are isolated from their instructors or tutors. In fact, it opens up new ways for intensive, interactive and engaging communication that facilitates students' learning experiences and achievement of learning outcomes. All aspects of delivery, assessment details, and weightings are designed to ensure that online and on-campus students achieve the same learning outcomes, regardless of delivery mode. Detailed guidance on assessment requirements, marking criteria, assessment submission standards, navigating the teaching facilities, and how to study online as well as detailed course notes are all available on the Canvas page.

• Refer to the Course Information module on Canvas for further details on learning through this course,
• Then read, watch, or listen to the other resources it identifies for more details.

Personal portfolio: You may benefit from a range of learning tools. Consider keeping a personal journal throughout the course to record the thoughts, issues and dilemmas that arise for you. Such a journal may be electronic or maintained in any other format that suits you. The journal is used to record insights gathered from course reading and other sources, as well as for noting personal reflections as the course proceeds. Students may reflect on their skills, resources, capabilities, thinking and learning styles as well as the course content and how it relates to their previous life experiences, and consider how they will prepare themselves for working in a management role deploying the skills and knowledge gained in this course.

Submission size: A maximum submission size is specified for assessment items. The specified sizes are adequate to cover the requirements to a high standard and they encourage focused and business-like writing and presentation. Note that words, slides, pages, or time in excess of the specified maximum submission size will not be marked.

Use of Artificial Intelligence (AI): Use of AI is rapidly growing in all sectors, in particular the use of Large Language Models, of which there are many proprietary brands. In this course students may choose to use or to not use AI tools, but in any case where AI tools are used the student must accurately cite and reference the particular tools and must also advise in an appendix how they used the tool.Guidance on how to do this appropriately is provided in the Getting Started block on the Canvas page; the ANU provides further guidance at the following link: ANU Libguide https://libguides.anu.edu.au/generative-ai Students are reminded that they may be requested to meet with the Convenor to discuss any assessment submission, including responding to questions on the content of submissions and on their understanding of the course concepts assessed by the submission.

Assessment submission standards: Detailed advice on assessment submission standards, including guidance on what is counted towards submission size, is provided on the Canvas page.

Procedure for extensions: The procedure for obtaining an extension of time for an assessment item is advised in the section on LATE SUBMISSION.

Scaling: Your final mark for the course will be based on the raw marks allocated for each of your assessment items. However, your final mark might not be the same number as produced by that formula, as marks may be scaled. Any scaling applied will preserve the rank order of raw marks (ithat is, if your raw mark exceeds that of another student, then your scaled mark will exceed the scaled mark of that student), and may be either up or down.

Applicable timezone: The Australian National University is situated in Canberra, Australian Capital Territory and all references to times and dates refer to time in the Australian Capital Territory. Be aware that the Australian Capital Territory observes Australian Eastern Daylight Saving Time in summer months; the effect of this is to shift the time by one hour from Australian Eastern Standard Time (AEST) to Australian Eastern Daylight-saving Time (AEDT). This shift is taken into account in setting times for submission of assessment items or other activities so the set time will be as specified, but AEST or AEDT will apply depending on the time of year.

Support: The University offers a number of support services for students. Information on these services is available online from http://students.anu.edu.au/studentlife/

Class Schedule

Week/Session	Summary of Activities	Assessment
1	WEEK 1 - SESSIONS 1,2, 9, 10, 17 & 18:Topic 1: An Introduction to Evidence-Based Practice in ManagementReading: Chapter 1
2	WEEK 1 -SESSIONS 3, 4 & 5:Topic 2: Asking questions to identify problems and solutions (andunderstanding what is required to answer different types of questions)Reading: Chapter 2
3	WEEK 1 - SESSION 6, 7 & 8:Topic 4: Acquiring and appraising evidence from stakeholdersReading: Chapter 10 & 11
4	WEEK 1 - SESSION 11:Topic 3: Acquiring and appraising evidence from professionalsReading: Chapter 3 & 4
5	WEEK 1 - SESSION 12, 13 & 16::Topic 5: The nature of scientific researchReading: Chapter 5
6	WEEK 1 - SESSIONS 14 & 15:Topic 8: Acquiring and appraising organisational evidenceReading: Chapter 8 & 9	Assessment Task #2-5: Obtain written approval for own topic: by 23:59 on Thursday.Assessment Task #1: Reflective Review Part A: Written submission OR audio podcast: due at 23:59 on Thursday.
7	WEEK 2 - SESSION 19:Topic 5: Acquiring scientific evidenceReading: Chapter 6	Assessment Task #2: Problem Analysis: Slides: due by 23:59 on Thursday Online assessment discussion meetings: to be held Weeks 2 & 3.
8	WEEK 3 - SESSION 20:Topic 6: Appraising scientific evidenceReading: Chapter 7	Assessment Task # 2: Problem Analysis: Online assessment discussion meetings: to be held in Weeks 2 & 3.
9	WEEK 4 - SESSION 21:Topic 7: Conducting a Critically Appraised Topic (CAT)Reading: Chapter 16	Assessment Task # 3: Stakeholder Evidence Proposal: Slides: due by 23:59 on Thursday Online assessment discussion meetings: to be held in Weeks 4 & 5.
10	WEEK 5 - SESSION 22:Topic 9: Aggregating evidenceReading: Chapter 12	Assessment Task #3: Stakeholder Evidence Proposal: Online assessment discussion meetings: to be held in Weeks 4 & 5.
11	WEEK 6 - SESSION 23:Topic 10: Applying evidenceReading: Chapter 13	Assessment Task #4: CAT Report Slides: due by 23:59 on Thursday Online assessment discussion meetings: to be held in Weeks 6 & 7.
12	WEEK 7 - SESSION 24:Topic 11: Assessing the outcome of a decisionReading: Chapter 14	Assessment Task #4: CAT Report Online assessment discussion meetings: to be held in Weeks 6 & 7.
13	WEEK 8 - SESSION 25:Topic 12: Leadership & evidence-based management in the organisationTopic 13: Being a practitioner of evidence-based managementReading: Chapter 15	Assessment Task #5: Action Briefing: Slides: due by 23:59 on Thursday. Online assessment discussion meetings: to be held in Weeks 8 & 9.
14	WEEK 9 - No teaching	Assessment Task #5: Action Briefing: Online assessment discussion meetings: to be held in Weeks 8 & 9.Assessment Task #6: Reflective Review Part B: Written submission OR audio podcast: due at 23:59 on Thursday.

Tutorial Registration

There is no requirement for students to register for tutorials.

Assessment Summary

Assessment task	Value	Due Date	Return of assessment	Learning Outcomes
Reflective Review Part A (INDIVIDUAL; 5%)	5 %	23/04/2026	30/04/2026	1,8
Problem Definition (INDIVIDUAL; 10%)	10 %	30/04/2026	14/05/2026	2,3
Stakeholder Evidence Proposal (INDIVIDUAL; 20%)	20 %	14/05/2026	28/05/2026	2,3,4
CAT Report (INDIVIDUAL; 25%)	25 %	28/05/2026	13/06/2026	2,3,4
Action Briefing (INDIVIDUAL; 30%)	30 %	11/06/2026	25/06/2026	4,5,6,7
Reflective Review (INDIVIDUAL; 10%)	10 %	18/06/2026	02/07/2026	1,8

* If the Due Date and Return of Assessment date are blank, see the Assessment Tab for specific Assessment Task details

Policies

ANU has educational policies, procedures and guidelines, which are designed to ensure that staff and students are aware of the University’s academic standards, and implement them. Students are expected to have read the Academic Misconduct Rule before the commencement of their course. Other key policies and guidelines include:

• Student Assessment (Coursework) Policy and Procedure
• Special Assessment Consideration Policy and General Information
• Student Surveys and Evaluations
• Deferred Examinations
• Student Complaint Resolution Policy and Procedure

Assessment Requirements

The ANU is using Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. For additional information regarding Turnitin please visit the ANU Online website Students may choose not to submit assessment items through Turnitin. In this instance you will be required to submit, alongside the assessment item itself, hard copies of all references included in the assessment item.

Moderation of Assessment

Marks that are allocated during Semester are to be considered provisional until formalised by the College examiners meeting at the end of each Semester. If appropriate, some moderation of marks might be applied prior to final results being released.

Participation

This course is a foundational element of post-graduate learning in the Research School of Management and is delivered through interactive seminars that include small group work and through tutorial exercises that reinforce learning and guide the development of assessable tasks. To gain the best and most effective results from these teaching sessions students are expected to study the weekly prescribed chapter/content and readings prior to sessions, and work on the related assessment tasks over the following weeks as well as through seminar participation. Teaching sessions will be held synchronously in hybrid mode using MS-Teams and attendance will be monitored. See the Canvas page for details of the scheduled days and times of the teaching sessions. Resources including core content, academic research articles, and other audio, visual, or textual resources will be made available online through Canvas.

Recordings of seminars will be available via the Canvas page, and short videos covering particular topics will be also available in the relevant week's block on the Canvas page. Reading the textbook chapters and provided materials, and watching the short videos, all before the relevant seminar will enable students to get the best out of their learning. When students are unable to attend a seminar seminar they should watch the relevant video/s and recording before attending the next seminar and contact the Convenor to discuss other options.

Examination(s)

There is no formal examination for this course.

Assessment Task 1

Reflective Review Part A (INDIVIDUAL; 5%)

Purpose: This submission is intended to develop students' meta-cognitive skills and to assist them in contextualising their learnings within their work environment and their own career aspirations.

Description: Students individually reflect on their knowledge of the topic, what it could mean for them professionally, and propose approaches for learning during the Module.

Requirements: Students individually prepare responses to a series of questions that are focused on the Course Learning Outcomes. Detailed guidance for this piece of assessment is provided in the Brief on the Canvas page.

Preparation: Some examples of reflections will be provided to supplement the guidance provided on Canvas to assist students in reflective writing. Students should review the Course Learning Outcomes, listed at the top of the Canvas page.

Use of Artificial Intelligence (AI): See advice provided under OTHER INFORMATION below. The course convenor will provide further advice about the appropriate use of AI for reflective writing (i.e. to support but not replace the reflective process)

Collaboration: Nil.

Weighting: 5%

Format & Size limit:

This item may be submitted in either (only ONE) of the following formats (there is no requirement for students to advise their preferred format before submission):

i) a podcast (audio recording of responses) of no more than 10 minutes. Any reference list should be uploaded via the course Canvas site before the due date/time.

ii) written responses totalling no more than 1100 words, with no more than 500 words for any individual question.

Submission & Due date: 23:59 pm on Thursday of Week 1 through Canvas; no late submissions accepted.

Marking: A breakdown of the contents of this assessment task and how they are weighted is provided in the Brief on the Canvas page; marks will be allocated as advised in the rubric in the Brief. Submissions will be assessed against the Learning Outcomes shown in the ASSESSMENT SUMMARY table. Further details and marking criteria are provided on Canvas a fortnight prior to the beginning of the class.

Feedback: Up to 10 working days after submission.

Assessment Task 2

Problem Definition (INDIVIDUAL; 10%)

Purpose: This is part of a series of submissions that assess a student’s capacity to forward a problem through to evidence-based decisions. This assessment item applies concepts drawn from the Ask and Acquire phases of the evidence-based decision-making process, and focuses on organisational evidence.

Description: Students individually prepare and discuss a slidepack that defines a managerial problem and proposes avenues of enquiry to assist in understanding and resolving the problem.

Requirements: Students individually describe a managerial problem, including background and context, justify it with appropriate evidence, and then develop questions to focus further exploration of the problem and possible solutions. Detailed guidance for this piece of assessment is provided in the Assessment Brief on Canvas.

Preparation: Students may select an individual topic related to their work, and meetings with the Convenor are provided for students to discuss their proposed topic with the Convenor. Students must obtain written approval from the Convenor by 23:59 pm on the Thursday of Week 1 if they wish to use an individual topic; this is to ensure that the student's proposed individual topic is suitable for demonstrating the learning outcomes of the course. A case study will be provided for students who do not provide an individual topic.

Use of Artificial Intelligence (AI): See advice provided under OTHER INFORMATION below.

Format & size limit:

• Students submit no more than 4 slides (plus non-assessable slide/s for title and/or reference list and use of Artificial Intelligence), in PowerPoint (PPTX) format.
• Assessment is through an assessment discussion meeting with the marker, to respond to questions (allow 10-15 minutes in total). Note that discussions will be video-recorded, in order to enable later validation and verification of the assessment if required, in accordance with point 7 of the ANU Student Assessment (Coursework) Policy.
• Note also that, as advised in the section on "Submission size" below, words, slides, pages, or time in excess of the specified maximum submission size will not be marked.

Submission:

• The written submission (slides), including any extra slides for title, reference list and use of Artificial Intelligence, is submitted via the course Canvas site.
• The assessment discussion meeting is online.

Collaboration: Nil.

Weighting: 10% of the final mark.

Marking: A breakdown of the contents of this assessment task and how they are weighted is provided in the Assessment Brief on Canvas; marks will be allocated as advised in the rubric in the Assessment Brief.

Marking criteria: Submissions will be assessed against the Learning Outcomes shown in the ASSESSMENT SUMMARY table. Marking criteria are provided in the Assessment Brief on Canvas.

Due date:

• The written submission is due by 23:59 pm on Thursday of Week 2; no late submissions accepted.
• The discussion sessions are scheduled during Weeks 2 & 3; students will book their timeslot for their discussion session during the previous week.

Feedback: Marking will be released up to 10 working days after submission, excluding semester breaks. Students will receive qualitative feedback on their submission in person from the marker during their assessment discussion meeting.

Assessment Task 3

Stakeholder Evidence Proposal (INDIVIDUAL; 20%)

Purpose: This is part of a series of submissions that assess a student’s capacity to forward a managerial problem through to evidence-based decisions. This assessment item applies concepts drawn from the Ask, Acquire and Appraise phases of the evidence-based decision-making process and focuses on stakeholder evidence.

Description: Students individually prepare and discuss a slidepack that proposes a strategy to acquire stakeholder evidence in response to the previously identified managerial problem.

Requirements: Students individually revise the previously defined managerial problem and evidence justifying it, together with a proposal for acquisition, appraisal and application of stakeholder evidence to understand the problem or an appropriate solution, including justification of the use of relevant validated scale/s to obtain that stakeholder evidence. Detailed guidance for this piece of assessment is provided in the Assessment Brief on Canvas.

Preparation: If a student proposes to change from the previously agreed topic, then this must be approved in writing by the Convenor prior to submission.

Use of Artificial Intelligence (AI): See advice provided under OTHER INFORMATION below.

Format & size limit:

• Students submit no more than 6 slides (plus non-assessable slide/s for title, reference list and use of Artificial Intelligence), in PowerPoint (PPTX) format.
• Assessment is through an assessment discussion meeting with the marker, to respond to questions (allow 15 minutes in total). Note that discussions will be video-recorded, in order to enable later validation and verification of the assessment if required, in accordance with point 7 of the ANU Student Assessment (Coursework) Policy.
• Note also that, as advised in the section on "Submission size" below, words, slides, pages, or time in excess of the specified maximum submission size will not be marked.

Submission:

• The written submission (slides), including any extra slides for title, reference list and use of Artificial Intelligence, is submitted via the course Canvas site.
• The assessment discussion meeting is online.

Collaboration: Nil.

Weighting: 20% of the final mark.

Marking: A breakdown of the contents of this assessment task and how they are weighted is provided in the Assessment Brief on Canvas; marks will be allocated as advised in the rubric in the Assessment Brief.

Marking criteria: Submissions will be assessed against the Learning Outcomes shown in the ASSESSMENT SUMMARY table. Marking criteria are provided in the Assessment Brief on Canvas.

Due date:

• The written submission is due by 23:59 pm on Thursday of Week 4; no late submissions accepted.
• The discussion sessions are scheduled during Weeks 4 & 5; students will book their timeslot for their discussion session during the previous week.

Feedback: Marking will be released up to 10 working days after submission, excluding semester breaks. Students will receive qualitative feedback on their submission in person from the marker during their assessment discussion meeting.

Assessment Task 4

CAT Report (INDIVIDUAL; 25%)

Purpose: This is part of a series of submissions that assess a student’s capacity to forward a problem through to evidence-based decisions. This assessment item applies concepts drawn from the Ask, Acquire and Appraise phases of the evidence-based decision-making process and focuses on scientific evidence.

Description: Students individually prepare and discuss a slidepack that applies scientific evidence to a research question that has been developed in response to the previously identified managerial problem.

Requirements: Students individually revise the previously defined managerial problem, including background and context, justify it with appropriate evidence, and then apply scientific evidence to a research question that has been developed in response to the problem. Detailed guidance for this piece of assessment is provided in the Assessment Brief on Canvas.

Preparation: If a student proposes to change from the previously agreed topic, then this must be approved in writing by the Convenor prior to submission.

Use of Artificial Intelligence (AI): See advice provided under OTHER INFORMATION below.

Format & size limit:

• Students submit no more than 8 slides (plus non-assessable slide/s for title, reference list and use of Artificial Intelligence), in PowerPoint (PPTX) format.
• Assessment is through an assessment discussion meeting with the marker, to respond to questions (allow 15 minutes in total). Note that discussions will be video-recorded, in order to enable later validation and verification of the assessment if required, in accordance with point 7 of the ANU Student Assessment (Coursework) Policy.
• Note also that, as advised in the section on "Submission size" below, words, slides, pages, or time in excess of the specified maximum submission size will not be marked.

Submission:

• The written submission (slides), including any extra slides for title, reference list and use of Artificial Intelligence, is submitted via the course Canvas site.
• The assessment discussion meeting is online.

Collaboration: Nil.

Weighting: 25% of the final mark.

Marking: A breakdown of the contents of this assessment task and how they are weighted is provided in the Assessment Brief on Canvas; marks will be allocated as advised in the rubric in the Assessment Brief.

Marking criteria: Submissions will be assessed against the Learning Outcomes shown in the ASSESSMENT SUMMARY table. Marking criteria are provided in the Assessment Brief on Canvas.

Due date:

• The written submission is due by 23:59 pm on Thursday of Week 6; no late submissions accepted.
• The discussion sessions are scheduled during Weeks 6 & 7; students will book their timeslot for their discussion session during the previous week.

Feedback: Marking will be released up to 10 working days after submission, excluding semester breaks. Students will receive qualitative feedback on their submission in person from the marker during their assessment discussion meeting.

Assessment Task 5

Action Briefing (INDIVIDUAL; 30%)

Purpose: This is part of a series of submissions that assess a student’s capacity to forward a problem through to evidence-based decisions. This assessment item applies concepts drawn from the Aggregate, Apply and Assess phases of the Evidence-Based Management process as well as from the Ask, Acquire and Appraise phases.

Description: Students individually prepare and discuss a slidepack that summarises a strategy to resolve the previously identified managerial problem.

Requirements: Students individually revise the previously defined managerial problem, including background and context, justify it with appropriate evidence, and then propose a strategy to resolve the problem and measure success. Detailed guidance for this piece of assessment is provided in the Assessment Brief on Canvas.

Preparation: If a student proposes to change from the previously agreed topic, then this must be approved in writing by the Convenor prior to submission.

Use of Artificial Intelligence (AI): See advice provided under OTHER INFORMATION below.

Format & size limit:

• Students submit no more than 8 slides (plus non-assessable slide/s for title, reference list and use of Artificial Intelligence), in PowerPoint (PPTX) format.
• Assessment is through an assessment discussion meeting with the marker, to respond to questions (allow 15 minutes in total). Note that discussions will be video-recorded, in order to enable later validation and verification of the assessment if required, in accordance with point 7 of the ANU Student Assessment (Coursework) Policy.
• Note also that, as advised in the section on "Submission size" below, words, slides, pages, or time in excess of the specified maximum submission size will not be marked.

Submission:

• The written submission (slides), including any extra slides for title, reference list and use of Artificial Intelligence, is submitted via the course Canvas site.
• The assessment discussion meeting is online.

Collaboration: Nil.

Weighting: 30% of the final mark.

Marking: A breakdown of the contents of this assessment task and how they are weighted is provided in the Assessment Brief on Canvas; marks will be allocated as advised in the rubric in the Assessment Brief.

Marking criteria: Submissions will be assessed against the Learning Outcomes shown in the ASSESSMENT SUMMARY table. Marking criteria are provided in the Assessment Brief on Canvas.

Due date:

• The written submission is due by 23:59 pm on Thursday of Week 8; no late submissions accepted.
• The discussion sessions are scheduled during Weeks 8 & 9; students will book their timeslot for their discussion session during the previous week.

Feedback: Marking will be released up to 10 working days after submission, excluding semester breaks. Students will receive qualitative feedback on their submission in person from the marker during their assessment discussion meeting.

Assessment Task 6

Reflective Review (INDIVIDUAL; 10%)

Purpose: This submission is intended to develop students' meta-cognitive skills and to assist them in contextualising their learnings within their work environment and their own career aspirations.

Description: Students individually reflect on their learning experiences over the whole of the course and propose new approaches for future learning.

Requirements: Students individually prepare responses to a series of questions that are focused on the Course Learning Outcomes. Detailed guidance for this piece of assessment is provided in the Brief on the Canvas page.

Preparation: Some examples of reflections will be provided to supplement the guidance provided on Canvas to assist students in reflective writing. Students should review the Course Learning Outcomes, listed at the top of the Canvas page.

Use of Artificial Intelligence (AI): See advice provided under OTHER INFORMATION below. The course convenor will provide further advice about the appropriate use of AI for reflective writing (i.e. to support but not replace the reflective process)

Collaboration: Nil.

Weighting: 10%

Format & Size limit:

This item may be submitted in either (only ONE) of the following formats (there is no requirement for students to advise their preferred format before submission):

i) a podcast (audio recording of responses) of no more than 10 minutes. Any reference list should be uploaded via the course Canvas site before the due date/time.

ii) written responses totalling no more than 1100 words, with no more than 500 words for any individual question.

Submission & Due date: 23:59 pm on Thursday of Week 9 (the week following Week 8 of Module 2) through Canvas; no late submissions accepted.

Marking: A breakdown of the contents of this assessment task and how they are weighted is provided in the Brief on the Canvas page; marks will be allocated as advised in the rubric in the Brief. Submissions will be assessed against the Learning Outcomes shown in the ASSESSMENT SUMMARY table. Further details and marking criteria are provided on Canvas a fortnight prior to the beginning of the class.

Feedback: Up to 10 working days after submission. For the final assessment, feedback will be provided after the release of results.

Academic Integrity

Academic integrity is a core part of our culture as a community of scholars. At its heart, academic integrity is about behaving ethically. This means that all members of the community commit to honest and responsible scholarly practice and to upholding these values with respect and fairness. The Australian National University commits to embedding the values of academic integrity in our teaching and learning. We ensure that all members of our community understand how to engage in academic work in ways that are consistent with, and actively support academic integrity. The ANU expects staff and students to uphold high standards of academic integrity and act ethically and honestly, to ensure the quality and value of the qualification that you will graduate with. The University has policies and procedures in place to promote academic integrity and manage academic misconduct. Visit the following Academic honesty & plagiarism website for more information about academic integrity and what the ANU considers academic misconduct. The ANU offers a number of services to assist students with their assignments, examinations, and other learning activities. The Academic Skills and Learning Centre offers a number of workshops and seminars that you may find useful for your studies.

Online Submission

Use of Turnitin: Unless an exemption has been approved by the Associate Dean (Education), submissions will be reviewed through Turnitin via the Canvas upload facility.

Lodgement: You will be required to electronically sign a declaration as part of the submission of your assignment. Please keep a copy of the assignment for your records.

Identification: On all assignments, you should only give your student number as identification; your name should not be included anywhere in the file.

Hardcopy Submission

For some forms of assessment (handwritten assignments, art works, laboratory notes, etc.) hard copy submission is appropriate when approved by the Associate Dean (Education). Hard copy submissions must be accompanied by the Assignment Cover Sheet. You should keep a copy of all completed tasks for your records.

Late Submission

Weekly assessment tasks: Late submissions are not accepted.

Other assessment tasks: Late submission of an assessment task without an extension is penalised at the rate of 5% of the possible marks available per working day or part thereof. Late submission of assessment tasks is not accepted after 10 working days after the due date, or on or after the date specified in the Class Summary for the return of the assessment item. Late submission is not accepted for take-home examinations or for items where this is specified in the description of the assessment task.

Assessment adjustment: All requests for adjustment of assessment (including Requests for Extension and for Consideration of Extenuating Circumstances) should be submitted via ANUHub.

Referencing Requirements

Accepted academic practice for referencing sources that you use in presentations can be found via the links on the Wattle site, under the file named “ANU and College Policies, Program Information, Student Support Services and Assessment”. Alternatively, you can seek help through the Students Learning Development website.

Returning Assignments

All assignments will be marked and/or returned according to the timeline specified under ASSESSMENT SUMMARY.

Extensions and Penalties

Extensions and late submission of assessment pieces are covered by the Student Assessment (Coursework) Policy and Procedure The Course Convener may grant extensions for assessment pieces that are not examinations or take-home examinations. If you need an extension, you must request an extension in writing on or before the due date. If you have documented and appropriate medical evidence that demonstrates you were not able to request an extension on or before the due date, you may be able to request it after the due date.

Resubmission of Assignments

Before the due date/time for submission: students may re-upload their submission.

After the due date/time for submission:

• if late submissions are not accepted then students may not upload a submission;
• if late submission is accepted then students may only upload a submission if they have not already done so, and a late penalty will then apply.

Privacy Notice

The ANU has made a number of third party, online, databases available for students to use. Use of each online database is conditional on student end users first agreeing to the database licensor’s terms of service and/or privacy policy. Students should read these carefully. In some cases student end users will be required to register an account with the database licensor and submit personal information, including their: first name; last name; ANU email address; and other information. In cases where student end users are asked to submit ‘content’ to a database, such as an assignment or short answers, the database licensor may only use the student’s ‘content’ in accordance with the terms of service — including any (copyright) licence the student grants to the database licensor. Any personal information or content a student submits may be stored by the licensor, potentially offshore, and will be used to process the database service in accordance with the licensors terms of service and/or privacy policy. If any student chooses not to agree to the database licensor’s terms of service or privacy policy, the student will not be able to access and use the database. In these circumstances students should contact their lecturer to enquire about alternative arrangements that are available.

Distribution of grades policy

Academic Quality Assurance Committee monitors the performance of students, including attrition, further study and employment rates and grade distribution, and College reports on quality assurance processes for assessment activities, including alignment with national and international disciplinary and interdisciplinary standards, as well as qualification type learning outcomes. Since first semester 1994, ANU uses a grading scale for all courses. This grading scale is used by all academic areas of the University.

Support for students

The University offers students support through several different services. You may contact the services listed below directly or seek advice from your Course Convener, Student Administrators, or your College and Course representatives (if applicable).

• ANU Health, safety & wellbeing for medical services, counselling, mental health and spiritual support
• ANU Diversity and inclusion for students with a disability or ongoing or chronic illness
• ANU Dean of Students for confidential, impartial advice and help to resolve problems between students and the academic or administrative areas of the University
• ANU Academic Skills and Learning Centre supports you make your own decisions about how you learn and manage your workload.
• ANU Counselling Centre promotes, supports and enhances mental health and wellbeing within the University student community.
• ANUSA supports and represents undergraduate and ANU College students
• PARSA supports and represents postgraduate and research students