Data Science and AI Educators' Programme: Graduation, Session 2
===

###### tags: `graduation-session-2` `DS-AI-Educators'-Programme`

:::info
- **Call time and day**: Tuesday 18 July 2023, 15:00 - 16:00 (GMT+1)
- **Meeting host**: Ayesha
- **Meeting facilitator**: Ayesha
- **Zoom link**: https://turing-uk.zoom.us/j/96217421110?pwd=VGV5ZTdDQzJXUm96TmNkbFBxYjdsQT09
- **Github repo**: [DS and AI Educators' Programme GitHub](https://github.com/alan-turing-institute/ds-ai-educators-programme)
:::

**Call recording reminder:**
Please note that this call will be recorded and live streamed to YouTube. Turn on your webcam if you don’t mind being in the video (or off if you do!).

**Participation reminder:**
[Code of conduct & community participation guidelines](https://github.com/alan-turing-institute/ds-ai-educators-programme/blob/main/code-of-conduct.md).If you experience or witness unacceptable behaviour, or have any other concerns, please report them by contacting the organisers - Ayesha, Mishka or Matt ([e-mail]).

**Presentation reminder:**
In preparation for the sessions, we ask that you kindly prepare a short, 3-minute presentation about your time on the Data Science and AI Educators’ Programme. Slides are optional. We have prepared a selection of prompts to help you cover some of the information that you might like to share with your peers:
- _What is/are your highlight/s from the programme?_
- _How will you apply some of your learning(s) from the programme to your line of work?_
- _How do you intend to use the programme to impact your community?_
- _How can other participants from the programme collaborate with you/get to know you better once the programme has finished?_

:::success
## Roll call for the Data Science and AI Educators' Programme participants
_Please note that we will use this order for your graduation presentations._

e.g. Name // Social Handles (twitter, GitHub etc) // What are you looking forward to after the graduation session?

1. Tom Albone / [LinkedIn](https://uk.linkedin.com/in/tom-albone) / [Github](https://github.com/tbalbone31) / [Data Science Campus Capability](https://datasciencecampus.ons.gov.uk/capability/)
2. Qian Fu
3. Jessica Witte
4.
5.
6. Anshul Lau (Twitter - @LauAnshul)
7. Qi Zhou
8. Swati Virmani (Twitter - @swativirmani8)
9. Khristin Fabian (Twitter - @khristinfabian)
10. Sergio Santoyo Meza / [LinkedIn](https://www.linkedin.com/in/sergiosantoyo1/)
11. Mohammad Ali Javaheri Javid
12.
13.
14.
15. Matt Forshaw (Twitter - @MattForshaw)
:::

## Programme reflections :film_projector:

Please keep your presentation to 3 minutes maximum :alarm_clock: and add your information in the following format:

---

### 1. Tom Albone // Data Science Lecturer // Office for National Statistics - Data Science Campus
- **Links/resources that you'd like to share with others.**
- https://datasciencecampus.ons.gov.uk/capability/
- https://learninghub.ons.gov.uk/login/index.php
- https://github.com/datasciencecampus
- https://www.linkedin.com/company/office-for-national-statistics/
- Notes:
- Data Science Campus capability work across civil service and public sector to train data science skills. Graduate Programme and apprenticeships available for those students interested in a DS career in public service
- Learning Hub is ONS/Government Analysis training platform which is free to access once signed up for an account (this often requires being part of a public sector org but it's worth emailing about)
- DSC github has some open repos with code that you can look at and play with
- ONS LinkedIn page often has career opportunities and promotes development/research/release of official statistics
- **How can others help you as you move forward in your role as an educator?**
- Keep educating the data science professionals of tomorrow and encourage them to pursue careers in public service
- Keep doing great research and developing new ways to enthuse students about data science and AI
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- **Questions and comments from the audience.**
- ...
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### 2. Research Fellow // University of Birmingham // Qian Fu
- **Links/resources that you'd like to share with others.**
- [GitHub](https://github.com/mikeqfu)
- [LinkedIn](https://www.linkedin.com/in/qianfu/)
- [Twitter](https://twitter.com/mikeqfu)
- Python packages:
- pyhelpers [[GitHub](https://github.com/mikeqfu/pyhelpers)][[Docs](https://pyhelpers.readthedocs.io/en/latest/)]
- pyrcs [[GitHub](https://github.com/mikeqfu/pyrcs)][[Docs](https://pyrcs.readthedocs.io/en/latest/)]
- pydriosm [[GitHub](https://github.com/mikeqfu/pydriosm)][[Docs](https://pydriosm.readthedocs.io/en/latest/)]
- Notes:
- Teaching data science and AI is important because these fields have the potential to transform the way we live, work, and solve problems.
- By providing learners with the necessary knowledge and skills, they can make informed decisions, create data-driven solutions, and innovate in their respective fields.
- As a researcher in the field of railway research and education, I see there are several barriers to teaching data science and AI:
- Lack of awareness and understanding of the potential applications of these technologies in the railway industry
- Limited resources and funding available for training and development in this area
- Need for interdisciplinary collaboration between railway engineers and data scientists
- It is crucial to create awareness about the potential applications of data science and AI in the railway industry in the UK.
- **How can others help you as you move forward in your role as an educator?**
- Help provide more access to training and development opportunities
- Help promote interdisciplinary collaboration
- **Questions and comments from the audience.**
- Lessons learned that you're taking forward: what sort of guidance might you offer to other project managers?
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### 3. Jessica Witte // University of Edinburgh // Postdoctoral Researcher
- **Links/resources that you'd like to share with others.**
- [Twitter](https://twitter.com/jess_witte)
- [Github](https://github.com/jessicawitte92)
- [Linkedin](https://www.linkedin.com/in/jessica-witte-6841a8185/)
- [email] [e-mail]
- Notes:
- Leads short courses and workshops
- Self-taught digital humanities
- Gained confidence in teaching the topics that have been self-taught
- Breakout rooms were useful to speak to other humanity background educators
- **How can others help you as you move forward in your role as an educator?**
- Would love to keep the conversation going about digital skills pedagogy, both broadly and specifically to humanities/social science learners
- Currently thinking through the challenges of gathering "real-world" datasets in the API subscription/closure era-->many workshops my colleagues and I have designed rely on Twitter/Reddit data, but have thought about returning to web scraping
- Also interested in accessibility and supporting neurodivergent learners in the data science classroom
- **Questions and comments from the audience.**
- ...
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---

### 4. Role // Institute // Name
- **Links/resources that you'd like to share with others.**
- ...
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- Notes:
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- **How can others help you as you move forward in your role as an educator?**
- ...
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- **Questions and comments from the audience.**
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### 5. Role // Institute // Name
- **Links/resources that you'd like to share with others.**
- ...
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- Notes:
- ..
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- **How can others help you as you move forward in your role as an educator?**
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- **Questions and comments from the audience.**
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### 6. Team Lead - Teaching Innovation & Learning Enhancement // Staffordshire University // Anshul Lau
- **Links/resources that you'd like to share with others.**
- https://forms.gle/4RUsz7GMTmsf6izX8
- https://twitter.com/LauAnshul
- https://forms.gle/4RUsz7GMTmsf6izX8
- Notes:
- CUrrent role leading development of policies in AI in education
- Not directly related to current role but having/speaking about different perspectives has been useful and valuable
- Would like to use HackMD for collaborative work
- Mentor groups were useful
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- **How can others help you as you move forward in your role as an educator?**
- More discussions
- Work together as a community of practice
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- **Questions and comments from the audience.**
- ...
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### 7. PhD Candidate/Postgraduate Teaching Assistant // UCL Knowledge Lab // Qi Zhou
- **Links/resources that you'd like to share with others.**
- Linkedin: https://www.linkedin.com/in/qi-zhou-834864193/
- GoogleScholar: https://scholar.google.co.uk/citations?user=ex9EydcAAAAJ&hl=en
-
- Notes:
- My research mainly focused on using learning analytics and AI to help both teachers and students to teach and learn better in collaborative learning.
- Improved teaching skills as not currently an experienced teacher. Useful discussion to help think about overcoming different challenges of teaching.
- Case studies show examples of teaching practice
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- **How can others help you as you move forward in your role as an educator?**
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- **Questions and comments from the audience.**
- ...
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### 8. Senior Lecture & University Teacher Fellow; Member of the Chartered Institute of Public Relations' AI Panel //
De Montfort University, UK // Dr Swati Virmani
- **Links/resources that you'd like to share with others.**
- Twitter - @swativirmani8
- LinkedIn - https://uk.linkedin.com/in/swati-virmani-5b52a013
- My recent work includes - https://leicesterstories.uk/leicester-smart-city/
- https://cipr.co.uk/CIPR/Our_work/Policy/AI_in_PR.aspx (currently working on a CIPR project - Humans Still Needed II)
- https://london.theaisummit.com/speakers/swati-virmani

- Notes:
- As an educator, I am keen to design effective pedagogy approaches to help graduates navigate responsibly through the new technology driven landscape. My work centres around staff and students' skill development, aiming to build teaching strategies and education standards that embrace the use of AI, in particular Large Language Models.
- I am currently working on developing enhanced approaches and roadmaps to effectively leverage AI in ways that align with staff’s subject specialisms. I am exploring how AI can be used to address specific learning objectives (including for minorities), facilitate personalised learning experiences, promote critical thinking, and support student engagement.
- This programme has introduced me to carpentries, concept mapping, expert awareness gap, personification, T-shaped competencies - and I would be following a multi-model approach to escalate my teaching practices and research around the current shift towards AI in education with the help of these frameworks.
- I enjoyed being a student!
- Thank you for sharing some great tools/ platforms - hackmd, excalidraw (I use it alot, below is a flyer I designed using this tool, centre image is created using DALL-E), github, sketchplanations.
- 

- **How can others help you as you move forward in your role as an educator?**
- I am eager to learn about your experiences in incorporating AI/DS within your teaching/ pedagogy. The roadmaps I am developing are not limited to my specific subject (economics), and receiving inputs from diverse disciplines would enable me to create more comprehensive frameworks.
- Share further tools, research links, roadmaps/ framworks specific to DS/ AI.
- A link to some training on using hackmd more effectively.
- **Questions and comments from the audience.**
- ...
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### 9. Lecturer // Edinburgh Napier University // Khristin Fabian
- **Links/resources that you'd like to share with others.**
- LinkedIn - https://uk.linkedin.com/in/khristin-fabian-a8701a19a
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- Notes:
- New to teaching data science but not new to education or teaching
- Some content has been useful in thinking about teaching data science specifically
- Live coding was a useful session
- Personal project to embed interdisciplinarity
- **How can others help you as you move forward in your role as an educator?**
- ...
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- **Questions and comments from the audience.**
- ...
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### 10. Marketing Data Science // HP Inc // Sergio Santoyo Meza
- **Links/resources that you'd like to share with others.**
- [LinkedIn](https://www.linkedin.com/in/sergiosantoyo1/)
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- Notes:
- As a beginner on the journey of being an educator in data science during the course I found many resources that would help me to shape my skills on this field since the beginning with the carpentries modules that brought me a good overview of the pedagogical approach that could be apply while teaching/educating on the data science field.
- My first steps as an educator being taken as a mentor for new students at the University of Sussex Mentoring Group starting two years ago.
- Part of my job at the MDS organization at HP is to perform stewardship and governance of the data and processes, collaborating with marketing analysts and professionals outside the data science organization where most of the time they don’t have previous technical knowledge and that is always challenging.

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- **How can others help you as you move forward in your role as an educator?**
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- **Questions and comments from the audience.**
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### 11. Senior Lecturer in Artificial Intelligence // University of Chichester // Dr Mohammad Ali Javaheri Javid
- **Links/resources that you'd like to share with others.**

https://www.linkedin.com/in/dr-mohammad-ali-javaheri-javid-8689a776/

- ...
- https://beta.jisc.ac.uk/innovation/national-centre-for-ai
- https://staff.sussex.ac.uk/teaching/enhancement/support/artificial-intelligence
- Notes:
- In my view, the recent developments in AI, the government’s spring budget to allocate about a billion pounds for R&D in AI, integration of AI tools like ChatGPT into business applications is a paradigm shift. In the era of big data, where the amount of newly generated data doubles every couple of years, and the progress in the development of new AI and DS tools/techniques which can address current business/industrial problems, along with the pace of adoption by businesses/industries poses a significant challenge for the education sector to catch up with the practice, development and adoption.
- The traditional pedagogical practices need to be more agile, and an immediate need to innovate in the education of AI and DS is necessary. Textbooks can no longer be the only reading source, and educators also need to be able to stay up to date with the development, integrate more articles/journals and YouTube content and more frequently update the module content.
- We are also limited by a set number of direct contact hours. Hence, educators face the dilemma of covering a selective number of topics each term/semester, also considering enough practical time (lab sessions) so the students can gain practical skills.

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- **How can others help you as you move forward in your role as an educator?**
- Assist me in better understanding how to address skill gaps in designing AI and DS programmes
- Provide feedback in improving my pedagogical practices in AI/DS education
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- **Questions and comments from the audience.**
- ...
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## Wrap-up and closing remarks :speaking_head_in_silhouette: