Machine Intelligence Research Labs, USA

in collaboration with

Bombay Teachers’ Training College A Constituent College of HSNC University,

organises

Four-Day Faculty Development Program on

Training Teachers for Artificial Intelligence in Schools (18th November – 21st November 2020)

Venue: on the World Wide Web

No Registration Fees

Registration Link: https://forms.gle/13DRkr5eatdVtomq6

(Limited seats only!) About Machine Intelligence Research Labs (MIR Labs), USA

MIR Labs was founded in 2008. Based in Seattle, USA, MIR Labs is a global non- profit academic consortium focused on innovation and research excellence. MIR Labs network comprises several leading academicians and scientists from the Universities and Industry from different continents.

MIR Labs perform sponsored research under a multi-disciplinary environment involving machine intelligence, cyber-physical systems, Internet of things, network security, sensor networks, data analytics and applied to various real-world problems. MIR Labs first official Hub in is established at Holy Grace Academy of Engineering, Kerala. AI School is established as part of the MIR Labs Hub in India.

https://www.mirlabs.org/

https://www.facebook.com/mirlabs.net

https://www.linkedin.com/in/mirlabs/

Machine Intelligence Research Labs (MIR Labs) – India Advisory Board Members - Academic

Prof. Dr. Sankar K. Pal Prof. Dr. Vladik Kreinovich ISI Kolkota, India University of Texas, USA Padma Shri in Science and Engineering Prof. Dr. Vincenzo Piuri Prof. Dr. Ganapati Panda University of Milan, Italy IIT Bhubaneswar, India

Prof. Dr. Millie Pant Prof. Dr. Andries Engelbrecht IIT Roorkee, India University of Stellenbosch, SA

Prof. Dr. Rituparna Panda Prof. Dr. Vaclav Snasel VSSUT Burla, India VSB- TUO, Czech Republic

Prof. Dr. Imre Rudas Obuda University, Hungary Prof. Dr. Albert Zomaya University of Sydney, Australia Prof. Dr. Nima Rezaei Tehran University of Medical Sciences, Iran Prof. Dr. Jeng-Shyang Pan Prof. Dr. Artūras Kaklauskas Shandong University, China VGTU, Lithuania Prof. Dr. Patrick Siarry Prof. Dr. Oscar Castillo Université Paris-Est Créteil, France TIT, Mexico About HSNC University Mumbai “Education is the passport to the future, for tomorrow belongs to those who prepare for it today” - Malcolm X The above quote sums up the very essence of the new HSNC University! June 2020. A historical moment unfolding in the field of Education as the H(S)NC Board launches HR, KC and BTTC on the next level of development by constituting them into a Cluster University – called the “HSNC Mumbai University”.

HSNC University, Mumbai, is constituted as a Cluster University comprising a cluster of the existing - HR College of Commerce and Economics, , Mumbai as the lead college and Kishinchand Chellaram College, Churchgate, Mumbai and Bombay Teachers’ Training College, Colaba, Mumbai as the constituent colleges with H(S)NC Board as its parent body.

Provost Hon’ble Vice Chancellor, HSNC University Mumbai HSNC University Mumbai Dr. Mr. Kishu Mansukhani

HSNC University Mumbai Trustees & Board

Mr. Kishu Mansukhani Dr. Niranjan Hiranandani President Trustee

Mr. Anil Harish Mr. Lal Chellaram Trustee Trustee

Ms. Maya Shahani Mr. Dinesh Panjwani Trustee Secretary H(S)NCB https://www.hsncu.edu.in/

About Bombay Teachers’ Training College Bombay Teachers’ Training College, a premier college of education, is located in South Mumbai. The college was established in April 1969 as a grant-in aid, linguistic (Sindhi) minority institution by the Hyderabad (Sindh) National Collegiate Board. It is an English medium, co-educational institute and is a constituent college of the HSNC University, Mumbai. The college offers teacher preparation programmes for various levels ranging from Early Childhood Education Programme, the Diploma in Elementary Education and the Bachelor of Education Programmes. It is also a centre for Doctor of Philosophy (Education).

Principal, BTTC Dr. Bhagwan Balani https://bttc.edu/

https://t.me/bttcofficial https://www.youtube.com/c/bttcofficial About the AI School

We offer a comprehensive teacher training course for any teacher aspiring to be an Artificial Intelligence educator. The course, developed by MIR Labs is designed for teachers who wish to acquire a deeper understanding of the core AI concepts and its practical applications. Attendees will receive a certificate from Machine Intelligence Research Labs, USA upon completion. In this course, we offer: •Engaging lectures •Practical work-related assignments •Reading materials and references •Lectures by experts (Doctoral degree holders)

https://www.mirlabs.org/aischool/

Course Director

• Dr. Ajith Abraham, Machine Intelligence Research Labs, USA

Senior Program Manager • Dr. Niketa Gandhi, Flow Ventures, Toronto, Canada Program Managers • Dr. Nikhil Rajput, Ramanujan College, University of Delhi, India • Dr. Subodh Deolekar, REDx Innovation Lab WeSchool, India • Dr. Mahendra Kanojia, Sheth L.U.J and Sir M.V. College, India • Dr. Pooja Manghirmalani Mishra, University of Mumbai, India

About the Course: Training Teachers for Artificial Intelligence in Schools

This course is a Faculty Development Program specially designed keeping in mind the curricula requirement of the CBSE board and the Teacher Training Institutes.

• It is developed to acquaint the teachers (in-service and trainee) with the world of Artificial Intelligence, its uses in the education system, real world and its intricacies. • The course covers the basics of Artificial Intelligence and elementary programming to give the teachers knowledge of application development in AI. • The course concludes with the session on how to teach Artificial Intelligence in classrooms covering the teaching-learning strategies needed for the school-level teaching. • The course is structured over the span of four days which are divided in lectures and hands-on training sessions equally. Objectives of the Course

Following are the course objectives designed for the in-service and trainee teachers: • To define, explore and understand the world of Artificial Intelligence • To discover the uses of Artificial Intelligence in school teaching-learning • To infer the need of Artificial Intelligence in school curricula • To traverse through the practical aspects of Artificial Intelligence • To demonstrate the applications of Artificial Intelligence • To apply Artificial Intelligence in school teaching • To perform data analytics using Machine Learning techniques • To test various methods for teaching Artificial Intelligence in classroom • To design a lesson plan for an Artificial Intelligence session for the students

General Details

• Learning will take place on Cisco Webex portal • Duration of the course is 28 hours • Number of Days: 4 • Course Fees: Nil • Assignment Submission portals: Google Forms /Google Drive/ Studio

Grading Pattern

• Each assignment is of 25 marks (Total 4 Assignments worth 100 marks) • All assignments have to be submitted with 72 hours of course completion • For the completion certificate, every participant has to procure 50 marks • e-Certificate will be provided within 10 working days after the course completion • Assessment will be formative and summative in nature

Participant Enrolment Criteria

• The participants should be in-service or trainee teachers (pursuing B.Ed. or BA Education or M.Ed. or MA Education) of any stream of graduation or post- graduation. • They should have a passion to explore the field of Artificial Intelligence. • Online registration is must.

(Note: No programming background is required.) FDP - Training Teachers for Artificial Intelligence in Schools Course Contents

1.The Role of Artificial Intelligence in the Modern Society by Dr. Ajith Abraham

2. Problem Solving using AI by Dr. Mahendra Kanojia

3. Introduction to Data Sciences by Dr. Ajith Abraham

4. Getting started with Machine Learning by Dr. Subodh Deolekar

5. Introduction to Artificial Intelligence Programming by Dr. Niketa Gandhi

6. How to teach Artificial Intelligence? by Dr. Pooja Manghirmalani Mishra

7. Artificial Intelligence for Content Development by Dr. Nikhil Rajput

Assignments

Day 1 Case Studies - Dr. Mahendra Kanojia Description: Teachers will be presented with the case-based problem of the real world scenario. Teachers are expected to formalise an AI based approach to a given case-based problem. The design vision of case-based problems would be related to the use of the instructor during the teaching-learning process.

Day 2 Machine Learning in Practice- Dr. Subodh Deolekar Description: Teachers have to create simple Machine learning based example models using tools provided.

Day 3: Introduction to AI Programming– Dr. Niketa Gandhi Description: Teachers will be introduced to a block based visual programming language - Scratch. They can use Scratch to create interactive stories, animations, games etc. and in the process help students to think creatively, reason systematically and work collaboratively - essential skills for everyone in today's society! Teachers will be given two flash cards as assignments and will need to upload them in the studio.

Day 4: Developing a Lesson Plan - Dr. Pooja Manghirmalani Mishra Description: Teachers have to prepare a lesson plan based on the content discussed in the three days of the FDP using the topic of the choice and incorporating the teaching-learning strategies discussed in the “How to teach AI?” session. A Template of the Lesson Plan will be shared. Schedule

Inauguration: 18th November, 2020 at 9:30 am

Wednesday Thursday Friday Saturday 18th Nov 19th Nov 20th Nov 21st Nov 10:30 am to 10.00 am to 10.00 am to 10.00 am to 11:30 am 11.30 am 11.30 am 11.30 am

Topic: Topic: Topic: Topic: AI for Role of AI in Introduction to Introduction to Content Modern Society Data Sciences AI Programming Development

Speaker: Speaker: Speaker: Speaker: Dr. Ajith Abraham Dr. Ajith Abraham Dr. Niketa Gandhi Dr. Nikhil Rajput

11.30 am to 11.40 am - Break with Cultural Performance

11.40 am to 11.40 am to 11.40 am to 11.40 am to 1.10 pm 1.10 pm 1.10 pm 1.10 pm Topic: Topic: Topic: Open Session Problem Solving Getting started How to teach using AI with Machine Artificial & learning Intelligence? Valedictory Speaker: Speaker: Speaker: Dr. Mahendra Dr. Subodh Dr. Pooja Kanojia Deolekar Manghirmalani Mishra 1.10 pm to 2 pm - Lunch Break

2:00 pm to 2:00 pm to 2:00 pm to 2:00 pm to 4:00 pm 4:00 pm 4:00 pm 4:00 pm Topic: Assignment: Assignment: Assignment: AI: Case studies Machine learning Introduction to Lesson Plan in Practice AI Programming (Hands-on)

Participants are expected to join the portal 15 minutes before the scheduled time.

For queries: [email protected] / [email protected]