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ABOUT DUT DATA DAY
This year, our third Institutional Research (IR) Conference (the second with Siyaphumelela as partner) has been reimagined as DUT Data Day (D3). We have retained the ethos of Institutional Research which is applied research about an institution, for that institution – in our case, DUT. The difference this year is that there is no fixed conference theme, no conventional conference format and no paper presentations.
#D3ThinkOutsideTheBox
DUT Data Day is about Knowing, Doing and Impacting. The D3 event will cover two exciting days of sharing data skills and showcasing data informed projects and activities that have been implemented or are currently in progress across the University. How are we using data at DUT for decision-making, planning and improving? Day 1 will focus on training and upskilling (Knowing). Day 2 will focus on showcasing data work (Doing and Impacting). We encourage student participation and attendance.
#D3KnowingDoingImpacting
We invite you to consider the various ways in which data has been/is being used to inform and improve planning, processes and policies in your department, division or faculty. We invite you to consider the innovative ways in which you use and present data in your department, division or faculty. How is DUT using data about the University and for the University to drive organisational effectiveness, and ultimately student success? Come and share your insights, your knowledge and your practice with the wider DUT community.
#D3OpenTheBox
We are inviting submissions for the following:
Day 1 – Training:
- Data Training session (e.g. data analysis, presentation, software packages e.g. SPSS etc.)
- Other Training session (e.g. using the internet, using OER, teaching with technology, using social media in education, statistical background to data etc.)
Day 2 – Exhibition of 10 by 5:
Ten Minute Pitch, Five Minute Q&A
- Poster presentation
- Other (media) presentation
- Demonstration
CALL FOR PARTICIPATION DAY 1 - DEADLINE 15 JULY 2019
We are inviting submissions for the following:
Day 1 – Training:
- Data Training session (e.g. data analysis, presentation, software packages e.g. SPSS etc.)
- Other Training session (e.g. using the internet, using OER, teaching with technology, using social media in education, statistical background to data etc.)
Training workshops will be evaluated as follows:
- Learning outcomes are clearly defined (40%)
Clear description of what you want your participants to be able to do or demonstrate at the end of your session.
- Facilitation is based on interactive learning or learning by doing methods (40%)
Multi-directional and interactive learning methods. Examples are interactive Learning – Case based exercises, inquiry-based learning, Role playing, Scenario Planning, Hands on learning – learning-by-doing, experiential learning, demonstration on-sight.
- Additional criteria (20%):
- A clear outline of session schedule is provided
- Evaluation method allows us to measure whether learning is achieved
- A clear description of how DUT staff and students will benefit from the training
- Plain English
CALL FOR PARTICIPATION DAY 2 – DEADLINE 15 JULY 2019
We are inviting submissions for the following:
Day 2 – Exhibition of 10 by 5:
Ten Minute Pitch, Five Minute Q&A
- Poster presentation
- Other (media) presentation
- Demonstration
Time: Each exhibit is given 10 minutes for presentation and 5 minutes for Q&A.
Criteria for selection:
Remembering the focus is on Knowing, Doing, Impacting, provide a concept note (250-300 words) describing the following:
Knowing (30%)
- The problem/issue being addressed
- The objectives and measurable outcomes of the project/activity
Doing (30%)
- The approach/process used to solve the problem (includes type of data and how the data were/are being used to achieve the results)
Impacting (40%)
- The results and the impact (include preliminary results if current project)
PROGRAMME
Day 1 (28th August): WORKSHOPS | |
WORKSHOP 1: DUT Beginning University Survey of Student Engagement (BUSSE): Who are our first year students? What do they expect? How can we best support them?Venue: S2 Level 4 Room 402
Time: 10:30 – 14:30 Note: Limited to 40 participants |
In South Africa, the highest dropouts occur at first-year level. This workshop will analyse first-year student feedback on the 2019 Beginning University Survey of Student Engagement (BUSSE). From the data we will have discussions about the implications this knowledge has on how we develop and adjust our orientation and transitional programmes, how the data can influence marketing strategies and behaviours, and how we can best support our first year students in general. Outcomes
Participants will analyse BUSSE data with a view to: – identifying students’ expectations regarding the first year of study; – determining students’ views about “what it takes” to succeed; – understanding beginning students’ concerns regarding university life; – informing appropriate interventions to promote student success. |
WORKSHOP 2:Statistical data analysis of class marks using Excel and SPSSVenue: S6 Level 0, Room BS6204
Time: 9:00 – 12:30 Note: Limited to 30 participants (DUT staff only) No previous Statistics, Excel or SPSS knowledge is required. |
Have you ever noticed differences in performances amongst your students, perhaps gender differences or across class groups or qualifications? Would you like to know if these differences are due to chance or coincidence or whether they are important enough to warrant closer attention and intervention? Then this workshop is for you. We will cover some basic statistical methods which can be used to analyse class marks using Excel and SPSS. These include mean, standard deviation, correlation etc. Basic statistical significance tests will be explained and applied to data. Outcomes
Participants will be able to: – Compute and interpret some basic statistical measures; – Apply basic statistical hypothesis tests; – Apply useful graphical methods |
WORKSHOP 3:Analysing data and creating reports using Microsoft Power BI DesktopVenue: S2 Level 4 Room 401
Time: 12.30 – 15.30 Note: Limited to 25 participants |
Microsoft Power BI Desktop is a business analytics solution that allows users to visualise their data and share insights across their organisation. With Power BI users can connect to hundreds of data sources and bring their data to life with live dashboards and reports. Outcomes
Participants will be able to: – import data into Microsoft Power BI; – clean and transform data; – use data modelling in Microsoft Power BI Desktop; – create columns, tables and a simple report. |
WORKSHOP 4:Data analysis using Microsoft ExcelVenue: S2 Level 4 Room 401
Time: 9.00 – 12.00 Note: Limited to 25 participants Suitable for beginners. No prior Excel knowledge is required. |
Excel is an essential tool used for data analysis. This workshop introduces basic features in Microsoft Excel, which will help attendees achieve proficiency or polish their data transformation skills. Outcomes
Participants will be able to: – Store data in worksheets within workbooks. – Navigate worksheets’ cells quickly by using keyboard short-cuts. – Perform data operations with formulas and built-in functions. – Visualize data through conditional formatting and charts. – Perform basic data analysis using sort, filter, pivot tables and dashboards. |
Day 2 (29th August): EXHIBITION | |
Posters and other exhibits will showcase the use of data to inform policy and practice across diverse departments at DUT. These include Research, Innovation and Engagement (RIE), Finance, Infrastructure and Physical Planning, Centre for Excellence in Teaching and Learning (CELT), Counselling, Health and Safety, Library, and Academic faculties etc. The University’s new data warehouse, using the PowerHEDA platform, will be officially launched at this event. A presentation will be made of AutoScholar, the student tracking and curriculum mapping system currently being implemented in the faculties. |
DAY 2 – Thursday, 29 August 2019
Venue: DUT Ritson Exam Hall
|
|
08:30-09:00 | Registration (Only those staff/students who have registered in advance for the event) |
POSTER EXHIBITION – KNOWING, DOING, IMPACTING
|
|
09:00-09:15 | Welcome and DUT Data Day context (Nicky Muller) |
09:15-09:30 | Siyaphumelela Project: The past 4 years (Koo Parker) |
09:30-10:00 | Morning Tea & Refreshments |
10:00-12:00 | Exhibition |
USING TECHNOLOGY FOR DATA-INFORMED DECISION MAKING
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12:00-12:55 | Panel presentation and Questions (Nicky Muller, Rajan Naicker, Sagren Moodley, Ashton Maherry, Prabashnee Kisten, Koo Parker) |
12:55-13:00 | Closure (Nicky Muller) |
13:00-13:45 | Luncheon/Exhibition |
13:45-14:30 | Exhibition open to DUT community |
IMPORTANT DATES
Submission of proposals | 15 July 2019 |
Notification of acceptance | 31 July 2019 |
Registration opens | 7 August 2019 |
Registration closes | 21 August 2019 – 4pm |
DUT Data Day | 28 – 29 August 2019 |
COST
There is no charge for DUT Staff and Students.
VENUE
Day 1 – Venues to be confirmed at Registration.
Day 2 – Ritson Exam Hall
REGISTRATION
Registration is now closed.
ENQUIRIES
Please contact planningoffice@dut.ac.za or the Planning office (Koo 6024; Ashton/Nelisiwe 6023)