Using Data to Improve Learning (10354.1)
Available teaching periods | Delivery mode | Location |
---|---|---|
View teaching periods | Online On-campus Flexible Online self-paced |
Bruce, Canberra |
EFTSL | Credit points | Faculty |
0.125 | 3 | Faculty Of Education |
Discipline | Study level | HECS Bands |
Academic Program Area - Education | Level 3 - Undergraduate Advanced Unit | Band 1 2021 (Commenced After 1 Jan 2021) Band 1 2021 (Commenced Before 1 Jan 2021) |
Learning outcomes
On successful completion of this unit, students will be able to:1. Select appropriate sources of data to analyse, and interpret so as to improve learning for students;
2. Use appropriate techniques to communicate evidence based upon the data they have collected;
3. Analyse, interpret and effectively communicate the complexity of factors influencing learning to students, parents, and colleagues; and
4. Demonstrate how the use of data can assist in making changes to teaching plans, therefore impacting positively on student learning.
Graduate attributes
1. º¬Ðß²ÝÊÓƵ graduates are professional - communicate effectively1. º¬Ðß²ÝÊÓƵ graduates are professional - use creativity, critical thinking, analysis and research skills to solve theoretical and real-world problems
2. º¬Ðß²ÝÊÓƵ graduates are global citizens - think globally about issues in their profession
2. º¬Ðß²ÝÊÓƵ graduates are global citizens - understand issues in their profession from the perspective of other cultures
3. º¬Ðß²ÝÊÓƵ graduates are lifelong learners - reflect on their own practice, updating and adapting their knowledge and skills for continual professional and academic development
3. º¬Ðß²ÝÊÓƵ graduates are lifelong learners - adapt to complexity, ambiguity and change by being flexible and keen to engage with new ideas
Prerequisites
Students must have passed 48 credit points.Students in Primary Initial Teacher Education courses must also have passed 12035 Foundations of Mathematical Understanding OR 9864 Core Mathematics.
Corequisites
None.Incompatible units
None.Equivalent units
9917 Statistics in EducationAssumed knowledge
None.Year | Location | Teaching period | Teaching start date | Delivery mode | Unit convener |
---|---|---|---|---|---|
2024 | Bruce, Canberra | Winter Term | 27 May 2024 | Online | Dr Beth Chapman |
2024 | Bruce, Canberra | Semester 2 | 29 July 2024 | On-campus | Dr Beth Chapman |
2024 | Bruce, Canberra | Semester 2 | 29 July 2024 | Flexible | Dr Beth Chapman |
2025 | Bruce, Canberra | Winter Term | 26 May 2025 | On-campus | Dr Beth Chapman |
2025 | Bruce, Canberra | Winter Term | 26 May 2025 | Online self-paced | Dr Beth Chapman |
2025 | Bruce, Canberra | Semester 2 | 28 July 2025 | On-campus | Dr Beth Chapman |
2025 | Bruce, Canberra | Semester 2 | 28 July 2025 | Online self-paced | Dr Beth Chapman |
Required texts
The set text for this unit is Fisk, S. (2022). Using and Analysing Data in Australian Schools (second edition). Hawker Brownlow: Melbourne. ISBN: 9781760941802.
This book is available for purchase online in both hard copy format, as well as eBook/Kindle.
Copies of the textbook are available for from the º¬Ðß²ÝÊÓƵ Library, as well as in .
Required readings are available via Canvas and the º¬Ðß²ÝÊÓƵ library reading list. Additional resources will be made available on the unit Canvas site.
Submission of assessment items
Extensions & Late submissions
Approval of extenuating circumstances will be dependent upon the production of supporting documentation and at the discretion of the unit convener.
All assessment items required to be submitted online must be submitted via the appropriate Canvas drop box. It is the student's responsibility to upload the correct and corresponding draft or assessment item to the right submission section. Assignments must be submitted in a format accessible to the assessor(s), as stated on the relevant canvas site. If the unit convener and/or tutor are unable to access a submission, or if no submission has been made by the due date and time, a standard late penalty of 10% of the total marks possible for the task may be applied per day, for three days, after which the submission will receive a score of ‘0' in keeping with º¬Ðß²ÝÊÓƵ's Assessment Policy.
Quizzes are closed after the due date and late submissions/extensions are not possible. Therefore, the 10% penalty per day for late submissions does not apply to Quizzes.
Special assessment requirements
An aggregate mark of 50/100 (50%) or higher is required to pass the unit.
Provision of valid documentation
Please note that the University takes student conduct very seriously. All documentation provided to University staff must be valid and the provision of fraudulent documentation carries with it potentially serious consequences, including suspension and/or exclusion from the University. Note that all allegations of student misconduct will be referred to the Associate Dean for Education (ADE) as a prescribed authority for investigation.
Students must apply academic integrity in their learning and research activities at º¬Ðß²ÝÊÓƵ. This includes submitting authentic and original work for assessments and properly acknowledging any sources used.
Academic integrity involves the ethical, honest and responsible use, creation and sharing of information. It is critical to the quality of higher education. Our academic integrity values are honesty, trust, fairness, respect, responsibility and courage.
º¬Ðß²ÝÊÓƵ students have to complete the annually to learn about academic integrity and to understand the consequences of academic integrity breaches (or academic misconduct).
º¬Ðß²ÝÊÓƵ uses various strategies and systems, including detection software, to identify potential breaches of academic integrity. Suspected breaches may be investigated, and action can be taken when misconduct is found to have occurred.
Information is provided in the Academic Integrity Policy, Academic Integrity Procedure, and º¬Ðß²ÝÊÓƵ (Student Conduct) Rules 2023. For further advice, visit Study Skills.
Learner engagement
Indicative workload:
- Lectures & tutorial participation: 30 hours (approximately 3 hours per module)
- Tutorial preparation and private study: 70 hours (approximately 5 hrs per module)
- Assessment preparation: 50 hours
You should plan to work on your Assignment 3 progressively throughout the semester.
Inclusion and engagement
Students who have a Reasonable Adjustment Plan (RAP) prior to the commencement of the semester, and have given Inclusionº¬Ðß²ÝÊÓƵ permission to share it with Unit Convenors, will have any relevant adjustments automatically applied to the time limits of quizzes and due dates of assignments.
Please check Canvas to ensure that you know your adjusted due date for the assignment.
If you have a RAP and have not given Inclusionº¬Ðß²ÝÊÓƵ permission to distribute it to Unit Convenors, and wish to make use of any relevant adjustments, please email a copy to the Unit Convenor as soon as possible.
If you have applied for and received a RAP after the commencement of the semester, please notify and email a copy to your Unit Convenor as soon as possible.
Participation requirements
Attendance at scheduled sessions is not a mandatory requirement of this unit. There is, however, a strong correlation between participation and success in higher education. With this in mind, we encourage and expect students to actively participate in all module activities to enhance their learning opportunities.
Required IT skills
Students will need to use a computer or tablet with internet browser to access Canvas, required readings and the MySchool data. Students will need to use Microsoft Excel or Google Sheets in tutorials and assignments.
Artificial intelligence services must not to be used for assessment or assessment preparation by students unless explicitly allowed in the assessment instructions for an assessment task published with the assessment task and/or in the unit outline. That is, an artificial intelligence services may only be used if:
- its use is authorised by the unit convener as part of a specified assessment task, and
- it is used in the way allowed in the assessment instructions and/or unit outline, and
- its use is appropriately referenced, meaning that students must reference the use of AI in their assessment in the same way as they reference other source material.
In-unit costs
The purchase of the set textbook, "Using and Analysing Data in Australian Schools" by Selena Fisk is strongly encouraged. The cost varies from ~$35 (eBook) to ~$65, depending on format and supplier.
Several copies of the set textbook, as well as an eBook, are available for loan from the º¬Ðß²ÝÊÓƵ Library.
Work placement, internships or practicums
None
Additional information
Theoretical Foundations
The theoretical foundations of this unit are linked with professional practice research and a perspective of ongoing critical enquiry into existing practice with the aim of improving the achievement of all students.
Research Led Education
This unit involves research-led education. There are active researchers delivering this unit who are able to engage students in deep and active learning and transmit to students their passion for the research they are carrying out.
Provision of information to the group
Notifications through the Canvas Announcements Forum or the Canvas Discussion Forums are deemed to be made to the whole class. It is the responsibility of the student to ensure that they check for announcements on the Unit's Canvas website (forum messages are also emailed to student email addresses only). Students should ensure they check their student email regularly. The Canvas discussion forums will be checked by staff regularly.
Use of student email account
The University Email policy states that "students wishing to contact the University via email regarding administrative or academic matters need to send the email from the University account for identity verification purposes". Therefore all unit enquiries should be emailed using a student university email account. Students should contact servicedesk@canberra.edu.au if they have any issues accessing their university email account
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