In today's globalised world, fostering inclusive and equitable cultures in workplaces and educational institutions is more critical than ever. The Australian National University (ANU) recognises the significance of creating a diverse and inclusive environment and is committed to becoming a national leader in this area. This course examines the latest research on institutional equity, diversity, equity, and inclusion (EDI), enabling students to develop transdisciplinary problem-solving skills to address the remaining barriers.
The course draws on sociological concepts of gender, ethnicity, socio-economic status, social closure and intersectionality, which serve as the foundation for student collaborative research. Additionally, students develop skills to use and critically assess quantitative methods used to generate EDI data. Two distinct streams are available: the beginner stream and the application stream for students with prior exposure to computational and statistical methods.
The main objective of this course is to enable participants to learn, share, consolidate and apply a range of EDI theories and quantitative methodologies used by social scientists and data scientists, including the use of appropriate software. The unit adopts a student-centred approach, with teaching and learning centred around a research project designed and completed individually or in teams throughout the course. By the end of the semester, students will have acquired the practical skills and theoretical knowledge necessary to advance EDI practices in diverse institutional settings.
Learning Outcomes
Upon successful completion, students will have the knowledge and skills to:
- collaborate to critically assess the leading theories and methodologies used in studies of equity, diversity and inclusion;
- understand the study design and ethical considerations in research on equity, diversity and inclusion;
- design a small project aimed at solving an EDI problem, using appropriate methodologies and computational approaches;
- utilise appropriate cross-disciplinary approaches and computational software to complete an EDI research project; and
- collect primary data or analyse secondary data and present the project's findings to non-technical audiences.
Research-Led Teaching
Under the guidance of an instructor, students undertake an independently designed research project, solo or in teams, utilizing publicly available or self-generated data. Students identify or collect relevant data and develop a project on equity, diversity, and inclusion (EDI). Throughout the process, they receive feedback and tailored guidance. In the final stage, students conduct data analyses and produce a written report.
Examination Material or equipment
This course does not include a formal exam. However, students will be required to complete two quizzes, each accessible for 7 days. Once the availability window closes, the quizzes cannot be reopened. Students are strongly encouraged to set reminders to ensure they complete the quizzes within the designated timeframe to avoid losing credit.
Required Resources
Students must have access to a personal computer with the necessary software, as specified at the start of the semester. The software packages expected to be used include open-source tools such as R and ANU-licensed applications like Stata and NVivo. Detailed instructions for accessing and installing these tools will be provided. Students must ensure the software is installed before attending class to participate actively in the weekly workshops. All required readings and course activities will be accessible through the course's learning management system.
Recommended Resources
The course's learning management system will provide a curated list of recommended resources.
Staff Feedback
Students will be given feedback in the following forms in this course:
- written comments
- verbal comments
- feedback to whole class, groups, individuals, focus group etc
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). Feedback can also be provided to Course Conveners and teachers via the Student Experience of Learning & Teaching (SELT) feedback program. SELT surveys are confidential and also provide the Colleges and ANU Executive with opportunities to recognise excellent teaching, and opportunities for improvement.
Other Information
The information published in this Class Summary may be subject to change, any changes in assessments or other course details will be communicated via Wattle and during the first week of the Semester. Any questions or concerns should be raised with the course convenor/lecturer as soon as possible.
Class Schedule
Week/Session | Summary of Activities | Assessment |
---|---|---|
1 | 1: The role of data in EDI as social praxis: The structure and objectives of this course | Workshop 1: Understanding Matrix Data for EDI and the Role of Replication as a Learning Tool |
2 | 2: Refining EDI Survey Methodology: Approaching Critically Social Change Theory | Workshop 2: Capturing Complex Concepts in Matrix Data – Exploring Correlations and Composite Variables in EDI Research |
3 | 3: Can Data Enhance EDI by Enabling Discussions of Causality and Predictions? | Workshop 3: Using Data-Based Models to Explore Causality – Applying Ordinary Least Squares (OLS) Models in EDI Research |
4 | 4: Collecting Data on EDI: Text as Data – Comparing NLP and QDA | Workshop 4: Introduction to Natural Language Processing – Leveraging Qualitative Data Analysis Software for Quantitative Insights |
5 | 5: More on Text Data on EDI + Introducing 'Quantitative' Understanding of Intersectionality | Workshop 5: Introduction to Sentiment Analysis – What Can We Do with It in EDI Research? |
6 | 6: Exploring the NRC emotion lexicon + Ethical considerations in emotion recognition |
Workshop 6: Expanding on Sentiment Analysis – Practical Applications and Further Exploration |
7 | 7: Using inferences in statistical EDI analysis - an overview | Workshop 7: Conceptualizing Intersectionality in Regression Models and Its Application in EDI Research |
8 | 8: Experimental research and EDI | Workshop 8: Off-Campus Research Project Focus – Independent or Collaborative Work Time |
9 | 9: Ethics and research governance - merit, justice, beneficence and respect in EDI | Workshop 9: Sourcing Data for EDI Text Investigations – Can Databases Perform Analyses? |
10 | 10: More on uncertainty in EDI studies - statistical versus substantive significance | Workshop 10: Crafting Effective Tables and Communicating Findings – Presenting EDI Research with Clarity and Impact |
11 | 11: Reporting in EDI studies - combining text, visual and tabular data | Workshop 11: Data Visualization Practicum – Enhancing Research through Visuals + Focused Project Time |
12 | 12: Limitations of EDI research - how and why acknowledge | Workshop 12: Communicating for Non-Technical Audiences – Tailoring Your Research + Focused Project Time |
Tutorial Registration
ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage.Assessment Summary
Assessment task | Value | Due Date | Learning Outcomes |
---|---|---|---|
Assessment Task 1: Research Project Proposal | 20 % | 28/03/2025 | 2,3,4 |
Assessment Task 2: Quiz 1 | 10 % | 26/03/2025 | 1,2 |
Assessment Task 3: Quiz 2 | 10 % | 21/05/2025 | 1,2 |
Assessment Task 4: Research Project Report | 40 % | 23/05/2025 | 1,2,4,5 |
Assessment Task 5: Workshop participation | 20 % | * | 1,4,5 |
* 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 Integrity Rule before the commencement of their course. Other key policies and guidelines include:
- Academic Integrity Policy and Procedure
- Student Assessment (Coursework) Policy and Procedure
- Extenuating Circumstances Application
- Student Surveys and Evaluations
- Deferred Examinations
- Student Complaint Resolution Policy and Procedure
- Code of practice for teaching and learning
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 Academic Skills website. In rare cases where online submission using Turnitin software is not technically possible; or where not using Turnitin software has been justified by the Course Convener and approved by the Associate Dean (Education) on the basis of the teaching model being employed; students shall submit assessment online via ‘Wattle’ outside of Turnitin, or failing that in hard copy, or through a combination of submission methods as approved by the Associate Dean (Education). The submission method is detailed below.
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
See Assessment Task 5
Examination(s)
There is no formal exam.
Assessment Task 1
Learning Outcomes: 2,3,4
Assessment Task 1: Research Project Proposal
Detailed guidelines will be provided on Wattle. Students may design the project individually or collaborate in groups of up to three. The proposal has a word limit of 1,100 words, with a 10% margin. Assessment criteria are outlined in the rubric available via the assignment submission link on Wattle. Written feedback will be uploaded to Wattle, with an estimated return time of approximately two weeks for on-time submissions.
For group proposals, each member must include an individual sheet detailing their contributions to the overall work breakdown. Templates for these sheets will be provided on Wattle. To receive credit, each group member must submit the group proposal through the Wattle submission link.
Assessment Task 2
Learning Outcomes: 1,2
Assessment Task 2: Quiz 1
Quizzes assess material from lectures, readings, and workshop activities. Each quiz is open for a seven-day period, with students allocated one hour to complete it. The questions are in multiple-choice format, and answers will be released after the quiz closes. Please note that quizzes cannot be reopened once the availability period ends. Quiz 1 will cover all content up to its opening date.
Assessment Task 3
Learning Outcomes: 1,2
Assessment Task 3: Quiz 2
Quizzes assess material from lectures, readings, and workshop activities. Each quiz is open for a seven-day period, with students allocated one hour to complete it. The questions are in multiple-choice format, and answers will be released after the quiz closes. Please note that quizzes cannot be reopened once the availability period ends. Quiz 1 will cover all content up to its opening date.
Assessment Task 4
Learning Outcomes: 1,2,4,5
Assessment Task 4: Research Project Report
Detailed guidelines will be provided on Wattle. If the proposal was submitted as a group project, the same group must submit the final report. The report has a word limit of 3,100 words, with a 10% margin. Assessment criteria are outlined in the rubric available via the assignment submission link on Wattle. Written feedback will be uploaded to Wattle, and grades will be released alongside the course results.
For group reports, each member must include an individual sheet detailing their contributions to the overall work breakdown. Templates for these sheets will be available on Wattle. To receive credit, each group member must submit the group report through the Wattle submission link.
Assessment Task 5
Learning Outcomes: 1,4,5
Assessment Task 5: Workshop participation
Workshop participation includes on-campus peer interactions, such as group work, problem-solving, and activity completion. Students may miss up to two workshops and still receive full participation credit. At the end of each workshop, participants must submit the outcome of their in-class activity via the Wattle link for credit. While group members who worked together may submit identical outcomes, each student must upload their submission individually.
Academic Integrity
Academic integrity is a core part of the ANU culture as a community of scholars. The University’s students are an integral part of that community. The academic integrity principle commits all students to engage in academic work in ways that are consistent with, and actively support, academic integrity, and to uphold this commitment by behaving honestly, responsibly and ethically, and with respect and fairness, in scholarly practice.
The University expects all staff and students to be familiar with the academic integrity principle, the Academic Integrity Rule 2021, the Policy: Student Academic Integrity and Procedure: Student Academic Integrity, and to uphold high standards of academic integrity to ensure the quality and value of our qualifications.
The Academic Integrity Rule 2021 is a legal document that the University uses to promote academic integrity, and manage breaches of the academic integrity principle. The Policy and Procedure support the Rule by outlining overarching principles, responsibilities and processes. The Academic Integrity Rule 2021 commences on 1 December 2021 and applies to courses commencing on or after that date, as well as to research conduct occurring on or after that date. Prior to this, the Academic Misconduct Rule 2015 applies.
The University commits to assisting all students to understand how to engage in academic work in ways that are consistent with, and actively support academic integrity. All coursework students must complete the online Academic Integrity Module (Epigeum), and Higher Degree Research (HDR) students are required to complete research integrity training. The Academic Integrity website provides information about services available to assist students with their assignments, examinations and other learning activities, as well as understanding and upholding academic integrity.
Online Submission
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. Unless an exemption has been approved by the Associate Dean (Education) submission must be through Turnitin.
Hardcopy Submission
For some forms of assessment (hand written assignments, art works, laboratory notes, etc.) hard copy submission is appropriate when approved by the Associate Dean (Education). Hard copy submissions must utilise the Assignment Cover Sheet. Please keep a copy of tasks completed for your records.
Late Submission
Individual assessment tasks may or may not allow for late submission. Policy regarding late submission is detailed below:
- Late submission not permitted. If submission of assessment tasks without an extension after the due date is not permitted, a mark of 0 will be awarded.
- Late submission permitted. Late submission of assessment tasks without an extension are 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 course outline for the return of the assessment item. Late submission is not accepted for take-home examinations.
Referencing Requirements
The Academic Skills website has information to assist you with your writing and assessments. The website includes information about Academic Integrity including referencing requirements for different disciplines. There is also information on Plagiarism and different ways to use source material. Any use of artificial intelligence must be properly referenced. Failure to properly cite use of Generative AI will be considered a breach of academic integrity.
Extensions and Penalties
Extensions and late submission of assessment pieces are covered by the Student Assessment (Coursework) Policy and Procedure. Extensions may be granted 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
Students will not usually be able to resubmit their assignments.
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 Accessibility 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 supports you make your own decisions about how you learn and manage your workload.
- ANU Counselling promotes, supports and enhances mental health and wellbeing within the University student community.
- ANUSA supports and represents all ANU students
Convener
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Research InterestsMy main interest is in educational inequalities at the intersections of class, gender, and ethnicity, focusing on family cultural capital’s influence on academic and occupational outcomes across diverse societies. I am particularly interested in the formation of adolescent career expectations and the factors determining whether and how young people realise their aspirations. My work examines the role of ethnic capital, scholarly culture and Science, Technology, Engineering and Mathematics (STEM) specialization in shaping long-term outcomes, applying and extending theories of cultural capital, social stratification, and gender socialization, drawing on frameworks like Bourdieu’s theory of cultural reproduction. Methodologically, I specialize in quantitative analysis of large, cross-national surveys, administrative education data, and longitudinal datasets. I have completed consultancies for the OECD Directorate of Education, the European Commission’s Joint Research Centre, and the National Centre for Vocational Education Research in Adelaide. My interests also include diversity and inclusion in educational outcomes. I supervise research across quantitative, qualitative, and mixed-methods approaches that aim to inform policy and advance debates on social mobility and educational equity.Educational Gender Segregation: Examining the factors contributing the concentration of men and women in different fields of study, particularly within scienceAdolescent Aspirations and Adult Outcomes: I consider the influence of early life ambitions on future personal and professional achievements.Influences on Educational and Occupational Pathways: I am interested in how genetics, family background, and cultural environment shape individuals' educational and career decisions.These areas form part of a broader scholarly interest in social stratification, comparative sociology, educational inequalities, and the sociology of education. |
AsPr Joanna Sikora
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Instructor
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Research Interests |
AsPr Joanna Sikora
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