MGMT3730

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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.

MGMT3730最先出现在KJESSAY历史案例。