Friday, April 2
1:45 PM-3:45 PM
EDT
Workshop B

Making Sense of Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) in 21st Century K-12 Classrooms.

Workshop (Live Presentation) ID: 58781
  1. aaa
    Kele Anyanwu
    University of Wisconsin - Stevens Point

Abstract: All around us today, we fill the impact of Smart Technologies referred to as self-monitoring, analytical and reporting systems powered by Artificial Intelligence (AI) and Machine Learning (ML). Surprisingly, the technologies driving these innovations has remained largely esoteric to K-12 educators. These technologies are often associated with complex algorithmic with foundations in Computer Science so far has remained outside the reach of average K-12 non-Computer Science teacher. Moreover, AI and ML has often been associated with physical robots in the minds of the average K-12 teacher. However, both teachers and students experience AI/ML powered systems every day of their lives. In this workshop/presentation we shall offer practical AI/ML technologies demonstrations suitable for online teaching and learning within K-12 school systems using Machine Learning tools from Google and Microsoft to engage with teachers. We shall explore the importance of data, and how it can be used to teach and train computers to learn and make predictive decisions with pedagogic implications. This workshop targets K-12 teachers that hear about Artificial Intelligence (AI) technologies such as Machine Learning (ML) but in cryptic terms without making much sense of its relevance to instruction in classrooms. By the end of this workshop, participants will be able to engage students in AI with No-Code ML innovative web-based/desktop learning tools that challenge deep thinking in classrooms.

Objectives

This proposal is targeted at K-12 teachers who have heard of smart technologies powered by Artificial Intelligence (AI) and Machine Learning (ML) but in cryptic terms without making much sense of its relevance to instruction in online classrooms. Artificial intelligence technologies have developed to the extent that non-computer science teachers can successfully engage students in AI with No-Code ML innovative web based learning tools that challenge deep thinking on the part of students will be demonstrated in this session. As we transition from Fourth Industrial Revolution (4IR) to Fifth Industrial Revolution (5IR) where digitization and intelligent systems gains mainstream status industrially, there urgent need for education sector to embrace these innovative technologies if they are to remain relevant as creators of future workforce. Understanding these advancements, enable teachers appreciate the urgency for early adoption and integration of Artificial Intelligence and Machine Learning concepts as fundamental to students success in a data centric world driven by smart technologies.

Topical Outline

During this workshop/presentation session which will be project-based the following content outline will drive the workshop /presentation. 1. Participants will discuss current understand of AI/ML to clear misconceptions. 2. Different Machine Learning tools especially the no-code tools that does not involve computer programming algorithms. 3. Participants will be introduced to two Google Teachable Machine and Microsoft Lobe no-code Machine Learning web-based and desktop tools, respectively. 4. After a demonstration by the presenter, participants will be required to identify a data source they could use to train their computer to make predictive models. Through a simple three step process – 1.) Object classification, 2.) Training and 3.) Prediction. They could use their computer webcam to acquire data or use datasets to be provided by the presenter. 5. Confident in their newly acquired knowledge, we shall break into rooms to discuss application of these smart tools in education, especially as it relates to Distant teaching and Learning.

Prerequisites

This is a no-code AI/ML sessions free from computer science and technology jargons. An educators interest in making sense of modern classroom knowledge skill sets and to his or her students is the most essential prerequisites for this workshop/presentation session. However, knowledge of operation of Windows OS will be assumed.

Experience Level

Beginner

Qualifications

Instructor Qualifications – Dr. Kele Anyanwu 1. Ed.D – Curriculum & Instruction with emphasis in Instructional Technology 2. M.S . Instructional Technology 3. B.S. Chemistry & Microbiology Dr. Kele Anyanwu currently is an Associate Professor of Educational Technology at School of Education at University of Wisconsin Stevens Point. I am also a certified high school science teacher and taught science for six years in Houston Texas. I am the Director of Technology and Innovation Space for Educators (TISE) that brings cutting edge classroom technologies to K-12 teachers. My research interests and focus is on emerging technologies adoption in education. AI/ML are emerging technologies, recently, Dr. Kele Anyanwu presented on AI/ML topics at the just concluded Virtual Impact Education Conference by Sourcewell and UWSP 25th Annual Teachers Conferences this January.

Topic

Conference attendees are able to comment on papers, view the full text and slides, and attend live presentations. If you are an attendee, please login to get full access.
x