[Informatics] Thoughts on the 2020 study design - 'Data Analytics'

Tue Mar 12 03:08:10 UTC 2019

Hi all. Here are some thoughts on the brand spanking new Data Analytics
units 3 and 4.
Hold onto your hats 'cos things have changed.

Unit 3 - DATA ANALYTICS

- Yes, folks. Informatics is no more! Not sure if the new name is much
better... but the hypotheses and MMOS are no more.
- Perhaps this was a reaction to the 40% drop in Informatics enrolments
after its first year.

*AOS1 tools*
- Database (dB), spreadsheet (SS) and data visualisation software.
- Note: the 'and' implies that spreadsheets *must* be used. Spreadsheets
haven't been examined for a long time. They are welcome back.
- Important Note: it does *not* say that the dB software has to be
relational! This is odd, but interesting.

*AOS2 tools*
- at least 1 data manipulation tool (e.g. dB SS) and one visualisation tool
+ project planning tool.

*AOS 1 - Data analytics*

Intro
"Students develop software solutions using database, spreadsheet and data
visualisation software tools".
- QUERY - does the 'significant s' in 'solution*s*' mean than more than one
solution is required??
- QUERY - all 3 of dB, SS, AND datavis tools are required?? YES.

"Students develop software solutions using database, spreadsheet and data
visualisation software tools"
1. import data from files to a dB
2. import data into SS for 'further refinement' before presenting findings
as data visualisations. (Note the plural, again)

Analytics U3O1
"respond to teacher-provided solution requirements and designs to extract
data from large repositories, manipulate and cleanse data and apply a range
of functions to develop software solutions to present findings."

*U3O1 KK*
- new - methods to collect census, Geographic Information System (GIS)
data, sensor, social media and weather
- the old issue of the difference between correctness and accuracy is still
there! More cow jokes, I fear...
- New - only the APA referencing style is named! Blessed relief!
- Gone - no mention of laws relating to data usage in this outcome. It
appears in U3O2.
- 3NF is still there. Along with the forever-annoying 2NF...
- GONE - user interfaces. This is very odd.
- GONE - 'user interacting with online solution' stuff. No more user flow
diagrams. Yay.
- And the big reveal... HYPOTHESES ARE GONE! MULTIMODAL SOLUTIONS ARE GONE!
It's true that a rolling study design gathers no MMOS. Sorry.

*AO2 - Data analytics: analysis and design*

(Part 1 of the SAT)

*Analytics U3O2*

"propose a research question, formulate a project plan, collect and analyse
data, generate alternative design ideas and represent the preferred design
for creating infographics or dynamic data visualisations."

*U3O2 KK*

- Gantt charts are required.
- New - Critical path is named. At long last.

Unit 4 - Data analytics

*Analytics U4O1*

- Develop and evaluate infographics or data visualisations to show the
findings of the research question prepared in U3O2.

(Part 2 of the SAT)

*Analytics U4 AOS1*

- Ss can use dB or SS.
- dB *need not be relational*
- RDBMS is never mentioned. But KK still includes foreign keys and 3NF.
This is odd.
- Evaluate solutions using evaluation criteria prepared in U3O2

*Analytics U4O1*

"develop and evaluate infographics or dynamic data visualisations [DDV]
that present findings in response to a research question, and assess the
effectiveness of the project plan in monitoring progress"

*U4O1 KK*

- U4O1 KK01 - "procedures and techniques for handling and managing files,
including archiving, backing up, disposing of files and security". **

So they are *disposing of security* along with files? VCAA punctuation is
once again ambiguous and misleading. Use the Oxford comma as standard,
people!

- U4O1 KK03 - "characteristics of information for educating targeted
audiences, including age appropriateness, commonality of language, culture
inclusiveness and gender"
This says that gender is a characteristic of information. What does this
mean, VCAA? 'Gender inclusiveness'? This needs to be fixed. **

*Data Analytics U4 AOS2 - Cybersecurity: data and information security*

- Note - refers to data security in "an organisation", not "organisationS"
with the significant "S"
- "an organisation uses to protect their data and information" - this is
grammatically incorrect. Should be the singular "its", not "their" **
- "Students consider the consequences for an organisation that fails to
protect their data and information" - ditto **
- Does VCAA proofread their designs for punctuation and grammar?

*Analytics U4O2*

"respond to a teacher-provided case study to investigate the current data
and information security strategies of an organisation, examine the threats
to the security of data and information, and recommend strategies to
improve current practices."

*U4O2 KK*

- "possible consequences for organisations that fail or violate security
measures" - this is grammatically wonky. This equates to "possible
consequences for organisations that fail security measures or violate
security measures" which does not make sense. **

Assessment - "The student’s performance will be assessed using one of the
following:
    • a case study with structured questions
    • a report in written format
    • a report in multimedia format."

*Assessment Summary*

*U3O2*

A project plan (Gantt chart) indicating tasks, times, milestones,
dependencies and critical path
AND
A collection of complex data sets that has been referenced
AND
An analysis that defines the requirements, constraints and scope of
infographics or dynamic data visualisations
AND
A folio of alternative design ideas and detailed design specifications of
the preferred design.

*U4O1*

Infographics or dynamic data visualisations that present findings in
response to a research question
AND
    • an evaluation of the efficiency and effectiveness of infographics or
dynamic data visualisations
    • an assessment of the effectiveness of the project plan (Gantt chart)
in monitoring project progress
in one of the following:
    • a written report
    • an annotated visual plan.

So, a new study design and a new desperate search for a meaning for the
unit formerly known as Information Processing and Management, IT
Applications, Informatics...

I have attached a summary of the Analytics KK for your personal pleasure.

Regards,
Mark

-- 

Mark Kelly

mark at vceit.com
http://vceit.com
Twitter @vceitcom
<https://twitter.com/intent/follow?original_referer=http%3A%2F%2Fvceit.com%2Fwp%2F&ref_src=twsrc%5Etfw&region=follow_link&screen_name=vceitcom&tw_p=followbutton>

Powered by *a loss of hypotheses.*
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://edulists.com.au/pipermail/informatics/attachments/20190312/b4d1d8cf/attachment-0001.html>
-------------- next part --------------
DA u3o1 - 
DA U3O1 KK01 - techniques for efficient and effective data collection, including methods to collect census, Geographic Information System (GIS) data, sensor, social media and weather
DA U3O1 KK02 - factors influencing the integrity of data, including accuracy, authenticity, correctness, reasonableness, relevance and timeliness
DA U3O1 KK03 - sources of, and methods and techniques for, acquiring authentic data stored in large repositories
DA U3O1 KK04 - methods for referencing primary and secondary sources, including American Psychological Association (APA) referencing system
DA U3O1 KK05 - characteristics of data types
DA U3O1 KK06 - methods for documenting a problem, need or opportunity
DA U3O1 KK07 - methods for determining solution requirements, constraints and scope
DA U3O1 KK08 - naming conventions to support efficient use of databases, spreadsheets and data visualisations
DA U3O1 KK09 - a methodology for creating a database structure: identifying entities, defining tables and fields to represent entities; defining relationships by identifying primary key fields and foreign key fields; defining data types and field sizes, normalisation to third normal form
DA U3O1 KK10 - design tools for representing databases, spreadsheets and data visualisations, including data dictionaries, tables, charts, input forms, queries and reports
DA U3O1 KK11 - design principles that influence the functionality and appearance of databases, spreadsheets and data visualisations
DA U3O1 KK12 - functions and techniques to retrieve required information through querying data sets, including searching, sorting and filtering to identify relationships and patterns
DA U3O1 KK13 - software functions, techniques and procedures to efficiently and effectively validate, manipulate and cleanse data including files, and applying formats and conventions
DA U3O1 KK14 - types and purposes of data visualisations
DA U3O1 KK15 - formats and conventions applied to data visualisations to improve their effectiveness for intended users, including clarity of message 
DA U3O1 KK16 - methods and techniques for testing databases, spreadsheets and data visualisations
DA U3O1 KK17 - reasons why organisations acquire data.
DA U3o2 - 
DA U3O2 KK01 - roles, functions and characteristics of digital system components
DA U3O2 KK02 - physical and software security controls used by organisations for protecting stored and communicated data
DA U3O2 KK03 - primary and secondary data sources and methods of collecting data, including interviews, observation, querying of data stored in large repositories and surveys
DA U3O2 KK04 - techniques for searching, browsing and downloading data sets
DA U3O2 KK05 - suitability of quantitative and qualitative data for manipulation
DA U3O2 KK06 - characteristics of data types and data structures relevant to selected software tools
DA U3O2 KK07 - methods for referencing secondary sources, including the APA referencing system
DA U3O2 KK08 - criteria to check the integrity of data, including accuracy, authenticity, correctness, reasonableness, relevance and timeliness
DA U3O2 KK09 - techniques for coding qualitative data to support manipulation
DA U3O2 KK10 - features of a research question, including a statement identifying the research question as an information problem
DA U3O2 KK11 - functional and non-functional requirements, including data to support the research question, constraints and scope
DA U3O2 KK12 - types and purposes of infographics and dynamic data visualisations
DA U3O2 KK13 - design principles that influence the appearance of infographics and the functionality and appearance of dynamic data visualisations
DA U3O2 KK14 - design tools for representing the appearance and functionality of infographics and dynamic data visualisations, including data manipulation and validation, where appropriate
DA U3O2 KK15 - techniques for generating alternative design ideas
DA U3O2 KK16 - criteria for evaluating alternative design ideas and the efficiency and effectiveness of infographics or dynamic data visualisations
DA U3O2 KK17 - features of project management using Gantt charts, including the identification and sequencing of tasks, time allocation, dependencies, milestones and the critical path
DA U3O2 KK18 - key legal requirements for the storage and communication of data and information, including human rights requirements, intellectual property and privacy.
DA u4o1 - 
DA U4O1 KK01 - procedures and techniques for handling and managing files, including archiving, backing up, disposing of files and security
DA U4O1 KK02 - the functional capabilities of software to create infographics and dynamic data visualisations
DA U4O1 KK03 - characteristics of information for educating targeted audiences, including age appropriateness, commonality of language, culture inclusiveness and gender
DA U4O1 KK04 - characteristics of efficient and effective infographics and dynamic data visualisations
DA U4O1 KK05 - functions, techniques and procedures for efficiently and effectively manipulating data using software tools
DA U4O1 KK06 - techniques for creating infographics and dynamic data visualisations
DA U4O1 KK07 - techniques for validating and verifying data
DA U4O1 KK08 - techniques for testing that solutions perform as intended
DA U4O1 KK09 - techniques for recording the progress of projects, including adjustments to tasks and timeframes, annotations and logs
DA U4O1 KK10 - strategies for evaluating the effectiveness of infographics and dynamic data visualisations solutions and assessing project plans.
DA u4o2 - 
DA U4O2 KK01 - characteristics of wired, wireless and mobile networks
DA U4O2 KK02 - types and causes of accidental, deliberate and events-based threats to the integrity and security of data and information used by organisations
DA U4O2 KK03 - physical and software security controls for preventing unauthorised access to data and information and for minimising the loss of data accessed by authorised and unauthorised users
DA U4O2 KK04 - the role of hardware, software and technical protocols in managing, controlling and securing data in information systems
DA U4O2 KK05 - the advantages and disadvantages of using network attached storage and cloud computing for storing, communicating and disposing of data and information
DA U4O2 KK06 - characteristics of data that has integrity, including accuracy, authenticity, correctness, reasonableness, relevance and timeliness
DA U4O2 KK07 - the importance of data and information to organisations
DA U4O2 KK08 - the importance of data and information security strategies to organisations
DA U4O2 KK09 - the impact of diminished data integrity in information systems
DA U4O2 KK10 - key legislation that affects how organisations control the collection, storage, communication and disposal of their data and information: the Health Records Act 2001, the Privacy Act 1988 and the Privacy and Data Protection Act 2014
DA U4O2 KK11 - ethical issues arising from data and information security practices
DA U4O2 KK12 - strategies for resolving legal and ethical issues between stakeholders arising from information security practices
DA U4O2 KK13 - reasons to prepare for disaster and the scope of disaster recovery plans, including backing up, evacuation, restoration and test plans
DA U4O2 KK14 - possible consequences for organisations that fail or violate security measures
DA U4O2 KK15 - criteria for evaluating the effectiveness of data and information security strategies.