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AI Basics for Schools


CodeWeek

Welcome to the AI Basics for Schools

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AI is becoming more and more pervasive in our lives, yet little about it is taught in schools. This is why we decided to develop this new open online course (MOOC) ‘AI Basics for Schools’, that guides teachers to explore the potential and limitations of AI, and discover how AI may enable them to implement new ways of teaching and learning in the classroom. ‘AI Basics for Schools’ provides teachers with an opportunity to gain basic understanding about AI and how to integrate AI resources into their teaching with the aim to enhance student learning experience.

Through this three-module course, participants will explore the basic elements of AI, learn how to define AI, look at the ways AI is already used in our everyday lives and explore the opportunities and challenges of AI for teaching and learning. They will explore resources to support students’ learning and at the same time enable them to creatively use AI to help others and to solve problems. They will discover AI-related activities that can easily be implemented in different learning environments: fully online, hybrid/blended and a physically distanced classroom. They will finally examine ethical issues behind artificial intelligence and learn how to help their students unlock the potential of AI.

Join us in the Facebook group or share your thoughts on Twitter using the hashtag #AIBasicsforSchools.

Learning objectives

  • To provide teachers with knowledge of the basic concepts of AI,
  • To identify the capabilities of AI in education,
  • To explore examples of effective use of AI in education,
  • To support teachers in integrating AI-related activities in the classroom,
  • To recognize and raise awareness about threats and benefits of AI,
  • To reflect on the ethical use of AI.

Prerequisites

This course can be followed by primary and secondary school teachers, regardless the subject they teach and their knowledge of digital technologies. No previous experience or knowledge on Artificial Intelligence is needed to take this course.

Modules

  • Module 1: What is AI? - opens on 08/03/2021
  • Module 2: AI in Education - opens on 15/03/2021
  • Module 3: AI Benefits and Challenges - opens on 22/03/2021

Certification

In order to earn a course certificate, course participants need to submit their activity and review three activities of other participants. The final deadline to complete all activities is 07 April 2021, 23:59 CET. The participation in the peer assessment activity will count for 100% of the final grade, the overall passing grade is 95%.

Note to the teachers from Madrid: Si eres docente en la Comunidad de Madrid  y, además del certificado de European Schoolnet Academy, quieres obtener los créditos de esta formación en tu Extracto de Formación Individual, tendrás que realizar los pasos que se detallan en la siguiente aula virtual:https://aulavirtual32.educa.madrid.org/crif.acacias/course/view.php?id=5177. Para más información, contactar con el Departamento de Lenguas Extranjeras del CRIF Las Acacias en la siguiente dirección de correo electrónico (dle.crif.acacias@educa.madrid.org).

Note to teachers from Galicia: Si eres docente en Galicia, y además del certificado de European Schoolnet Academy, quieres recibir un certificado oficial de parte del Centro Autonónico de Formación e Innovación de Galicia (CAFI), inscríbete también en la actividad "G2002130 Intelixencia artificial na escola. Conceptos básicos" en Fprofe en el siguiente enlace (https://www.edu.xunta.es/fprofe). Para más información, contactar con el CAFI en la siguiente dirección de correo electrónico (cafi.aulanova1@edu.xunta.gal).

Note to teachers from Portugal: You can get your successful participation in a European Schoolnet Academy course formally recognised as a valid continuous professional development, and thereby acquire the relevant number of training hours, by sending your certificate to the Conselho Científico e Pedagógico de Formação Contínua (CCPFC) at Rua do Forno, nº 30, 1º andar - apartado 2168, 4700 - 429 Braga, Portugal. For more information, please contact the CCPFC.

Course Staff

Arjana Blazic - course coordinator

Arjana Blazic is language arts teacher, education technology consultant and course designer. She is an external expert at European Schoolnet. Her interests focus on technology enhanced teaching and learning and the impact of digital technologies on teacher professional development. You can get in touch with her on Twitter: https://twitter.com/abfromz

Eugenia Casariego Artola - course coordinator

Eugenia is working at European Schoolnet, contributing to the educational aspects of EU Code Week: supporting the development of training materials for schools, assisting in the website of resources, and helping in the development of the Learning Bits. You can follow her and get in touch here: https://twitter.com/eugenia_eun

Tommaso Dalla Vecchia - course moderator

At European Schoolnet since 2012, he has been working in lots of different projects and initiatives. He has been more and more engaged in awareness raising, education and training projects, especially in the area of digital skills and coding. Currently he proudly supports the scale-up of EU Code Week. You can follow him and get in touch here: https://twitter.com/tommaso_eun

Disclaimer & Copyright

This course has been created and is coordinated by Arjana Blazic and Eugenia Casariego Artola, supported by the Code Week Team and the European Schoolnet Academy staff. The course is part of the EU Code Week initiative, supported by the European Commission.

      EUN logo

The creation and running of this course have been supported by the European Commission, but it is sole responsibility of the organizers. The European Commission (EC) is not responsible for any use that might be made of the information contained.

 

Creative Commons License

All content on this course unless specified otherwise is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License

  1. Course Code

    AI
  2. Classes Start

  3. Classes End

  4. Estimated Effort

    5 hours (15 in total)
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