MGMT3730: Human capital analytics
ASSESSMENT OVERVIEW (2026, Term 1)


ASSESSMENT TASK % % LENGTH DUE DATE
1. Assessment A: Weekly quiz 20
a. Lecture quiz 20 10 minutes each • Weeks 2-5, 7-10. Students will be
assigned and complete a quiz during
five randomly selected lectures
during the term.
2. Assessment B: Participation 30
a. Within-tutorial folio
submissions
20 Various • Assessed in tutorials in weeks 2-5,
and 7-10.
b. Class participation 10 • Assessed based upon quality of
participation.
3. Assessment C: Case studies 30
b. Case studies 30 • Assessed based upon submitted
work: Assigned Monday 4pm. Due
Friday 5pm in Weeks 4, 7, 8 & 9.
4. Assessment D: Data project 20
a. Data collection plan 5 500-word summary.
Draft data collection
materials.
• Week 5: Friday 20th March, 4pm
b. Data collection report 15 2000 words • Week 10: Wednesday 22nd April,
4pm



ASSESSMENT 1: WEEKLY QUIZ

PURPOSE
Each quiz aims to encourage you to read and engage with the week’s assigned readings and lecture
materials. The lecture content and readings provide you with the core knowledge required to gain the
most from this course. So, your pre-reading will allow the lectures and tutorials to provide greater
value for all by extending upon that foundation.

FORMAT AND SUBMISSION
Format
• Students will complete a quiz during five randomly selected lectures during the term in weeks
2-5, and 7-10.
• Each quiz will be made available during the lecture. It must be undertaken and submitted “in
person” during the lecture.
• Ten minutes are allocated to complete each quiz.
• Each quiz may contain multiple-choice, true/false, or short answer questions.
• The score of your best four of the five quizzes will be summed to provide an overall mark.
• Each quiz contains questions about the content of the week’s readings and/or lecture content.
Thus, you should prepare by reading the assigned readings, taking notes so as to engage in
active learning (to enhance recall and understanding of what was read), and ensure that you
ask questions if you do not understand any of the materials.
Submission
• Via a link within the course Moodle site (https://moodle.telt.unsw.edu.au/login/index.php)
• There is no opportunity to retake the quiz or do a quiz that you missed unless an application
for Special Considerations is made and approved.



ASSESSMENT 2a: Participation: Modules

FORMAT AND SUBMISSION
Format
• In each week from week 2 onwards, you will be assigned a course content module to complete
during your scheduled tutorial.
• Details on the specific requirements of each module will be provided in tutorials. However, as
an illustration, a typical module submission might be based upon the results of a tutorial
activity and/or the conclusions that you drew from a tutorial activity/discussion.
• The highest scoring six of the eight modules that are assigned will be averaged to provide an
overall mark.
Submission
• During a tutorial, your tutor will provide you with information on how to submit your work. This
submission will typically be during the tutorial to your tutor in paper form, or via an upload to,
or completion of a task within, the course Moodle site.
• There is no opportunity to retake a module that you missed unless an application for Special
Considerations is made and approved.



ASSESSMENT 2b: Participation: Class participation

FORMAT AND SUBMISSION
In each tutorial your extent and quality of participation in activities and related discussion will be
assessed by your tutor. Via this participation, you will build and solidify your understanding of how
analytics works in work and organisational settings, and the broaden your knowledge in the
application of data analysis methods, interpretation, and representation. This will provide a foundation
for your analytics competencies and enhance your ability to complete assessments in this course.
Format
• The score of your tutorial participation across weeks 2-5, and 7-10 will be averaged to provide
an overall mark. This calculation will be based upon the highest six of the eight weekly
participation marks available.
Submission
• Directly assessed by the tutor or via submissions using link in the course Moodle site (where
applicable)
• There is no opportunity to retake a submission or redo a tutorial that was missed unless an
application for Special Considerations is made and approved.


ASSESSMENT 3: CASE STUDIES

FORMAT AND SUBMISSION
As part of the analytics process, you will work with data. This requires an understanding of data
types, manipulation, analysis, and visualisation. The case study exercises are designed to develop
this expertise.
Format
• In weeks 4, 7, 8, and 9 you will complete and submit a video in which you describe how you
completed the assigned case study and what the findings were.
• Video presentation (5 minutes maximum). You will prepare a narrated PowerPoint (or other
presentation software) using the instructions provided in Moodle in section “Assessment: 3”
and upload this video to UNSW One Drive. As the final step, you must submit that UNSW One
Drive URL along with your other materials in Moodle.
• Information on how to access the activity will be provided on the course Moodle site.
Submission
• In weeks 4, 7, 8, and 9 a task will be made available via the Moodle subject website on
Monday at 4pm.
• The task will be due the same week on Friday at 5pm.
• Submit via a link in the course Moodle site.
• There is no opportunity to retake a submission or redo a submission that you missed unless
an application for Special Considerations is made and approved.
Activities
• For each week, you will complete an assessment based upon a Case Study that is drawn from
the Edwards et al. (2023) prescribed textbook. These will be:
• Submission in week four. Chapter 4: Case study 1. Diversity analytics
• Submission in week seven. Chapter 5: Case study 2. Employee attitude surveys: Engagement
and workforce perceptions
• Submission in week eight. Chapter 6: Case study 3. Predicting employee turnover
• Submission in week nine. Chapter 7: Case study 4. Predicting employee performance
Evaluation criteria
• The score of your four exercises will be averaged to provide an overall mark.




ASSESSMENT 4a: DATA COLLECTION PLAN

PURPOSE
To present your planned approach for gathering individual level employee data.

TOPIC
You will use the weeks 1-4 course materials to address the following issue:
Make a case for a data collection approach that aims to identify predictors and outcomes
of an important HR issue.
Outline a plan to measure a HR concept of your choice and its likely: i) predictors, and ii) outcomes.
You are not limited in the HR concept you choose but some illustrative examples include: Creativity;
Employee engagement; Job satisfaction; Performance; Employee-Supervisor relationship quality

Your submission will address three content areas
1) The conceptual model that is being considered
This section should:
• Identify the concept that is the central focus of your investigation.
• Justify why you expect that other concepts are predictors and outcomes of it.
2) The approach used to collect the data
This section should:
• Identify the source and appropriateness of measure/s of concept/s you select.
• Explain the nature and appropriateness of the data collection approach you will use.
3) A draft of the materials to be used in collecting the data
This section should include:
• Information introducing the data collection materials to potential respondents
• Draft data collection materials containing the questions that will be asked

FORMAT AND SUBMISSION
Your submission will contain two components.
1. Executive summary (500 words maximum, not including reference list)
2. Draft data collection materials
Evaluation criteria
• See the marking rubric for Assessment 3a at the end of this document.
Formatting requirements (only applicable to the executive summary):
• 12pt Times New Roman font. Page numbers and zPass on page 1
Submission
• Submit both components via the link on the course Moodle site.
• Extensions to deadlines are granted only in exceptional circumstances and where supporting
documentation is provided. Requests are made via the special consideration process.





EXECUTIVE SUMMARY STRUCTURE (SUGGESTED) INCLUDED IN WORD LIMIT
RECOMMENDED
LENGTH
Include title, name, student number, word length.

As needed
Table of contents: Do not include. - -
Section 1: Identification of key issues and conceptual model Approx. 250 words
Section 2: Data collection approach that will be used Approx. 250 words
References: Include sources cited in the executive summary.

As needed
Appendix. The draft data collection materials that you developed
and the information introducing the data collection materials.
As needed
ASSESSMENT 4b: DATA COLLECTION REPORT

PURPOSE
Present an analysis of a data collection along with recommendations for how to improve the design of
the data collection based upon what you learnt in the course.
TOPIC
Draw upon the course materials to address the following issue:
Analyse your data to identify predictors and outcomes of an important organisational issue
Your submission will address six areas
1) The conceptual model that is being considered
• Identify the concept that is the central focus of your investigation.
• Justify why you expect that other concepts are predictors and outcomes of it.
2) The approach used to collect the data
• Identify the source and appropriateness of measure/s of concept/s you selected.
• Explain the nature and appropriateness of data collection approach used.
3) The approach used to analyse the data
• Explain the nature and appropriateness of data analyses used.
4) The results of the data analyses / insights drawn from the data
• Discuss what the findings mean.
5) Identify what could be improved in a (potential) future version of the project
• Draw on your experience of conducting the data collection and analysing the data to identify
how the approach you used could be improved.
6) Appendix. The final version of the materials used to collect the data
• The final data collection materials that were administered to respondents.
FORMAT AND SUBMISSION
Formatting requirements:
• 12pt Times New Roman font. Page numbers and zID on page 1
Submission
• Submit your report via the Turnitin link in your Moodle course site.
• Late submissions incur a deduction for each day late. Each day is calculated as a 24-hour
period following the due date (include Saturday & Sunday)
• Extensions are granted only in exceptional circumstances and where supporting documents
are provided. Requests are made via the special consideration process.
ASSESSMENT 4B: REPORT STRUCTURE (SUGGESTED) INCLUDED IN WORD LIMIT
RECOMMENDED
LENGTH
Title page: Include title, name, student number, word length.

As needed
Table of contents: Do not include. - -
Section 1: Identification of key issues and conceptual model

Approx. 200 words
Section 2: Data collection approach used

Approx. 200 words
Section 3: Approach used to analyse the data

Approx. 300 words
Section 4: Results and insights from the data analysis

Approx. 800 words
Section 5: What could be improved in future versions

Approx. 300 words
References: Include sources cited in the report.

As needed
Appendix. The final materials used, including a cover letter.

As needed
MARKING RUBRIC FOR ASSESSMENT 4B
CRITERIA % FAIL PASS CREDIT DISTINCTION HIGH DISTINCTION
1. Written communication:
Organisation, clarity and
grammar
Have you organised your report
well? Have presented the
materials with clarity?
10 Disorganised and
incoherent, such as no
linking between
sections/arguments, or there
are sections missing.
Some attempt to organise in
a logical manner, and
reasonable clarity of
expression.
Logical organisation,
coherent and mostly written
clearly.
Careful attention to detail
with organisation and written
clarity.
Shows a polished and
insightful approach to the
report organisation, with
compelling clarity of
expression.
2. Written communication:
Referencing and formatting
Have you referenced as per
UNSW standards?
Have you formatted as per the
Assessments overview?
10 Referencing is absent or
does not conform to UNSW
standards; and/or report
does not consistently
conform to formatting
requirements.
Referencing and/or
formatting has systematic
errors (e.g. inconsistency in
how authors are
referenced), but major
principles are still intact.
Referencing and formatting
is mostly accurate, but with
some errors (e.g. slight
inconsistencies in how
authors are referenced).
Referencing and formatting
is accurate, with a few minor
errors (e.g. reference list not
alphabetised or word length
slightly over)
Referencing and formatting
is consistently accurate.
3. Applies course concepts
Have you explained your
organisation with course
concepts?
Have you used course concepts
to analyse the situation rather
than just describing the content?
30 Does not refer to any course
concepts.

Does not apply course
concepts, or application is
inaccurate.

Introduces course concepts
but does not explain them
adequately.

Applies course concepts
appropriately but may
include minor errors or
omissions.
Introduces and explains
course concepts adequately.

Accurately applies course
concepts.
Introduces and explains
course concepts
comprehensively.

Accurately and insightfully
applies course concepts.
Introduces and explains
course concepts
comprehensively,
demonstrating a breadth and
depth of understanding.

Accurately and insightfully
applies course concepts.
4. Uses evidence to problem-
solve
Have you analysed/processed
the data appropriately?
Have you drawn useful insights
from the data?

30
No evidence or repeats
evidence with no analysis.
Mainly descriptive without
reference to theory and
analysis. Lacks sufficient
analysis to support the
conclusions.
Introduces some evidence
but fails to clearly link this to
analysis or conclusions.
Applies some evidence to
inform conclusions, reflects
on strengths of the evidence
and links this to analysis or
conclusions.

Insightful and detailed
evidence provided. Applies
evidence and includes
accurate interpretation of
data to inform judgement
and clear conclusions
Applies evidence, including
accurate interpretation of
data, reflects on evidence to
inform analysis, provides
important conclusions
5. Creates recommendations
that are SMART
Do your recommendations
address every aspect of SMART
goals?
20 Does not create
recommendations or creates
some but the
recommendations are not
SMART.
Includes SMART
recommendations
appropriately but there may
be errors or omissions (e.g.
how goal will be measured
isn’t identified).
Includes SMART
recommendations but they
need to be more specific /
realistic.
Accurately and insightfully
includes recommendations
that are SMART.
Accurately and insightfully
includes recommendations
that are SMART,
demonstrating a breadth and
depth of understanding.


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