Data Science and AI Educators' Programme: Peer-mentoring notes

Data Science and AI Educators' Programme: Peer-mentoring notes === ###### tags: `peer-mentoring meeting` `DS-AI-Educators'-Programme` :::info - **Call time and day**: TBC with the group - **Meeting chair**: Ogerta Elezaj - **Meeting note-taker** Edoardo Barbieri - **Meeting time-keeper** Salomey Afua Addo - **Call joining link**: [We used slack video call] ::: The peer-mentoring sessions are an opportunity for you to discuss your learning, any challenges you are currently experiencing and any challenges you might face moving forward. We encourage you to use these sessions as a safe space to share best practice and support one another in your development as Data Science and AI educators. To make the most of this opportunity, it is important that you meet weekly. Please try to find a mutually convenient time each week to meet for between 45 minutes and 1 hour. It may be useful to assign a meeting chair, note-taker and time-keeper. You can use the blue box, above, to take note of who will fulfill these roles. Below, you will find a suggested structure for each week's call. There may be sessions where you naturally mentor one another, without the need for a structure. This is perfectly fine - the structure is there as a prompt, should you need to use it. **Table of contents** [TOC] ## Week 1 : w/c 16 May 2022 **Roll call** - Ogerta - Salomey - Edoardo - ### Agenda and Notes for Week 1 - Introductions - get to know each other - Ogerta Elezaj, Lecture in Computer Science, Birmingham City University, research area: Machine Learning, cybersecurity - Edoardo Barbieri, 1+3 SGSSS Student, BSc Statistics, MRes in Human Geography, Starting research in Missing Data- based in Glasgow - Salomey Afua Addo, BSc in Economics and Maths, MSc in Maths, Data-X project, would love to start a PhD- based in Germany - Andreea Avramescu, PhD Student in Decision Science at The University of Manchester and Enrichment Student with The Alan Turing Institute. I have an MSc in Data Science and a bit over 2 years of Data Science teaching experience. - Tell your peers about yourself - where you work/why you applied to the programme etc. - [TAKE NOTES HERE] - Set some personal goals: what do you hope to achieve through participation in this programme? Where would you like to be by the end of this programme? - Ogerta Elezaj, meeting new people and networking, improve her teaching skills. Helping in designing and developing the "Data Technician" Apprenticenship which I am in charge off. - Edoardo Barbieri, want to get more information on how to communicate and teach to the public - Salomey Afua Addo, improving her curriculum-making skills; learn the appropriate way to teaching and how to motivate students and engage with them actively - Andreea Avramescu, understand how to communicate with students, provide feedback that is actually useful and not just pointing the mistakes. I want to also learn how to develop learning materials that are interactive and appropriate for people with different levels of programming knowledge. - What are your plans to take this programme/new learning into your own community? - Ogerta; Staff in my department has shown interest to attend the next call of this programme. - Edo; Learning how to teach better and motivate other people in my department to do the same - Salomey; Want to create better educators in her uni, going to summarize and share the notes with their university - Andreea; I work with various NGOs that provide free coding lessons to people from minorities or disadvantaged background. Would like to help them create better materials. - What teaching or 'educator' experience do you have and how do you hope the programme will add to this experience? - Ogerta: 6 years of full time teaching experience. This programme will help to increase students engagement via online platforms, improve my live coding sessions. Teaching "Modern datastores and Data Protection". - Edo; TA, Museum Guide, writing zine on academic topics for the general public- hope to to that better in the future - Salomey; Teaching kids arithmetics (+ reading and writing), TA for resits in her maths department, now in germany teaches intro to data analysis - Andreea; TA, Lecturer, Lead Instructor for various programming and data science classes at Undegraduate and Master level and bootcamps. _**Meeting logistics & Reminders**_ - Decide on a time and a day that works to meet every week. If you cannot find a mutual day every week (and in advance), agree to co-ordinate on a week-by-week basis the best time to meet. Will you set up a poll? Who will co-odinate this? _**Task after this call**_ - If you haven't done so already, complete the pre-programme survey. Keep a record of your answers so that you can reflect back on these at the end of the programme. ## Week 2 : w/c 27 May 2022 **Roll call** - Ogerta - Salomey - - ### Agenda and Notes for Week 2 Quick check in - how are you all doing? Spend some time reflecting on the learning from Week 1 (Carpentries pedagogy sessions). Think about the following questions as prompts for discussion: - What did you learn that you didn't know before? [Stick to one concept or main idea in each lesson. I find this very useful because often as intructors we throw a lot of content and new concepts to students without reflecting over the work load and cognitive load balance on their side] - Was there anything unusual or interesting that came up during the sessions? [Yes I was happ to know most people on the call were educators an dI guess carpentries is a nice initiativbe. I will be happy to learn more from them.] - Was there a concept that you found challenging? Why? [Code along sessions are interesting, but sometimes challenging , especially if you are getting used to the concepts you are teaching.] - Are there any concrete examples that you could apply in your role as an educator? [of course, keeping materials simple and effectively carrying out a code along session.] ## Week 3 : w/c 30 May 2022 **Roll call** - I was not feeling well so couldn't join the call - - - ### Agenda and Notes for Week 3 Quick check in - how are you all doing? This week, we would like you to focus on the 'Building Skill With Practice' module from Week 1. The session discussed how formative assessment tools can be used to help identify learner misconceptions during a course/lesson/programme etc. With your group, please discuss the following and take notes where appropriate. _You should use your own teaching/instructing/educating experience to inform your discussion and give concrete, useful examples where possible._ - Consider a lesson that you have taught (or plan to teach). What potential misconceptions might your learner encounter? - [My students have the misconception that coding in general is difficult. ] - How can you ensure that your material and delivery mitigates this misconception? - [I can help improve my delivery by slowly introducing students to the concept I am about to teach them in programming.] - How could you use a formative assessment strategy(such as multiple choice questions) to mitigate this misconception? - [Well, I have never tried formative assessments for teaching how to code. I will look more into that. But I guess initiating a dialogue would be better.] - Again, considering your own experiences and practice, what other examples of formative assessment could you use? Think about how this would apply to a lesson that you plan to teach (or have taught). - [In class programming game, which does not require coding but requires arranging a set of intyructions to solve a particular problem.] _**Task after this call**_ For next week's call, you will be looking at memory and cognitive load in the context of a session/lesson/training that you have led (or participated in). Please bring this teaching material to your next peer-mentoring session. An overview with approximate timings of the session, plus the content covered will suffice. ## Week 4 : w/c 6 June 2022 **Roll call** - I was recovering from surgery so I could not join - - - ### Agenda and Notes for Week 4 Quick check in - how are you all doing? This week, we would like you to focus on the 'Memory and Cognitive Load' module from Week 1. The session discussed the benefits of guided practice and formative assessment, as well as some tips for consolidating content. With your group, please discuss the following and take notes where appropriate. - Looking at the materials you have brought with you today, imagine yourself as a learner in this lesson. Is the information presented in short chunks, followed by an opportunity for consolidation of the concept(s) taught (through some kind of formative assessment)? If not, work together to re-jig the session, adding opportunities for consolidation, where possible. - [TAKE NOTES HERE] - In order to reduce cognitive load on a learner, we can also use a strategy called scaffolding. This introduces small, easily-digestible concepts step-by-step until they reach the final 'learning goal'. How could you scaffold _your_ session to support your learners? - [TAKE NOTES HERE] - How could you incorporate some guided practice into your session? What is the value of guided practice? - [TAKE NOTES HERE] _**Task after this call**_ Before next week, please prepare a short, 5-minute session to deliver to your group. This will be an opportunity to 'teach' and receive feedback from your peers. You can teach any concept you like, providing that, by the end of your 5-minutes, your learners will have grasped the concept! You will each receive feedback on both your delivery _and_ your content, so please ensure that you have started to consider/incoporate pedagogical elements that you have learned so far. If you would like to pair up to deliver a 10-minute session together, you may. ## Week 5 : w/c 13 June 2022 **Roll call** - - - - ### Agenda and Notes for Week 5 Quick check in - how are you all doing? This week, we would like you to focus on the 'Teaching is a Skill' module from Week 1. The session was an opportunity to practice teaching and receive feedback on your delivery. Today, you will repeat the exercise, this time thinking about giving feedback on delivery _and_ content. You should consider elements such as memory and cognitive load, opportunities for assessment as well as the overall delivery. - [NAME] - [FEEDBACK HERE] - [NAME] - [FEEDBACK HERE] - [NAME] - [FEEDBACK HERE] - [NAME] - [FEEDBACK HERE] - [NAME] - [FEEDBACK HERE] ## Week 6 : w/c 20 June 2022 **Roll call** - - - - ### Agenda and Notes for Week 6 Quick check in - how are you all doing? This week, we would like you to focus on last week's Ethics in the Context of Training cohort call. - What did you learn that you didn't know before? - [TAKE NOTES HERE] - Was there anything unusual or interesting that came up during the sessions? - [TAKE NOTES HERE] - Was there a concept that you found challenging? Why? - [TAKE NOTES HERE] - Are there any concrete examples that you could apply in your role as an educator? - [TAKE NOTES HERE] ## Week 7 : w/c 27 June 2022 **Roll call** - - - - ### Agenda and Notes for Week 7 Quick check in - how are you all doing? This week, we would like you to focus on the 'Motivation and Building Positive Learning Environments' module from Week 1. The session focused on aspects such as growth mindset, encouraging participation and creating a positive, safe learning environment. Today, you're going to think about what has motivated you to become an 'educator' and write a short explanation. This should take about 5 minutes. When you've finished, share it with the group - you can also save this as part of your teaching philosophy for future reference. - [NAME] - [TAKE NOTES HERE] - [NAME] - [TAKE NOTES HERE] - [NAME] - [TAKE NOTES HERE] - [NAME] - [TAKE NOTES HERE] - [NAME] - [TAKE NOTES HERE] - What do you notice about the motivations you have to teach? - Is there some diversity amongst your group? Is this a good thing? - Why would it be important for the learner to embrace their errors? - Why would it be important for the educator to embrace their errors too? ## Week 8 : w/c 4 July 2022 **Roll call** - - - - ### Agenda and Notes for Week 8 Quick check in - how are you all doing? Last week, there was a cohort call panel on **The Challenges of Teaching Data Science and AI**. With your peers, consider discussing the following questions: - What is the main challenge that you face (or have faced) when teaching Data Science and AI? - [TAKE NOTES HERE] - Now that you are 8 weeks through the programme, what learning can you take away to help you overcome these challenges? - [TAKE NOTES HERE] ## Week 9 : w/c 11 July 2022 **Roll call** - - - - ### Agenda and Notes for Week 9 Quick check in - how are you all doing? This week, we are going to think about 'Preparing to Educate'. You will never know everything about your learners. Thinking deeply about them as people will help you to prepare and create the most inclusive environment for everyone. Today you will have two activities: - Take a moment to imagine a learner who might attend your class/workshop/programme/session etc. What is their background? What problems do they face? What do they have to gain from attending this session? Create a learner profile and share this with your group. How are you going to meet their needs? - [TAKE NOTES HERE] - Take a moment to think of a learning objective from a workshops/class/session that you have led (or intend to lead). - Suppose a learner has mastered this objective and wanted to try someting more cognitively challenging on the exact same topic. Take some time to brainstorm what objective they could work towards next. Share this with the group. - [TAKE NOTES HERE] - Suppose a learner struggled to meet the specified objective. What might they be missing? How would you support them? Indentify one more fundamental thing the learner needs to be able to do in order to be successful in meeting this objective. - [TAKE NOTES HERE] ## Week 10 : w/c 18 July 2022 **Roll call** - - - - ### Agenda and Notes for Week 10 Quick check in - how are you all doing? This week, we are going to think about working with a team/collaboratively to develop training materials (TBC - details to follow soon) ## Week 11 : w/c 25 July 2022 **Roll call** - - - - ### Agenda and Notes for Week 11 Quick check in - how are you all doing? This week will be about preparing for the graduation (TBC - details to follow soon) ## Week 12 : w/c 1 August 2022 **Roll call** - - - - ### Agenda and Notes for Week 12 Quick check in - how are you all doing? This will be your final week of the programme. Take a look back at the goals you set for yourself at the beginning of the programme. Have you met them? If there are any that you didn't meet, or only partially met, what steps can you take to ensure that you work towards meeting the goal? Can your peers support you in this? - [NAME] - [TAKE NOTES HERE] - [NAME] - [TAKE NOTES HERE] - [NAME] - [TAKE NOTES HERE] - [NAME] - [TAKE NOTES HERE] - [NAME] - [TAKE NOTES HERE]

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