scholarly journals Design and Development of High School Artificial Intelligence Textbook Based on Computational Thinking

OALib ◽  
2018 ◽  
Vol 05 (09) ◽  
pp. 1-15
Author(s):  
Yanfang Yu ◽  
Yuan Chen
Keyword(s):  
Artificial Intelligence ◽  
High School ◽  
Computational Thinking ◽  
Design And Development

Development of computational thinking with on-line practices in time of pandemic: a possible road?

2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Gilson Pereira dos Santos Júnior ◽  
Simone Lucena
Keyword(s):  
High School ◽  
Online Education ◽  
Educational Institution ◽  
Computational Thinking ◽  
Digital Technologies ◽  
Daily Lives ◽  
Face To Face ◽  
Know How ◽  
Human Ability ◽  
On Line

We live in a society in which mobile and digital technologies are increasingly present in our daily lives and we cannot limit ourselves to knowing how to use them. It is important to know how to adapt them, personalize them and program them, if necessary, to solve our problems. Computational thinking is understood as the human ability to teach, humans or machines, to solve problems with the fundamentals of computing. Its development has gained space in education, formal and non-formal, through face-to-face practices. With the pandemic, the challenge arises to develop this skill with young people from high school in a public educational institution through online practices. In this article, we discuss the didactic design, based on the principles of online education, created for the development of computational thinking with online practices. The preliminary results indicate the feasibility of developing computational thinking from the perspective of online education.

Combining Webduino Programming With Situated Learning to Promote Computational Thinking, Motivation, and Satisfaction Among High School Students

2021 ◽  
pp. 073563312110399
Author(s):  
Ting-Ting Wu ◽  
Jian-Ming Chen
Keyword(s):  
High School ◽  
High School Students ◽  
Programming Languages ◽  
Situated Learning ◽  
Learning Strategy ◽  
Computational Thinking ◽  
Learning Motivation ◽  
School Students ◽  
Study Results ◽  
Significant Difference

Many countries have incorporated computational thinking (CT) and programming languages into their science and technology courses. Students can improve their CT ability by learning programming languages. Moreover, situated learning enables students to generate knowledge and master problem-solving skills through interaction with situations. This study incorporated Webduino learning and the situated learning strategy into a programming course and analyzed its impact on high school students’ CT ability, learning motivation, and course satisfaction. A quasi-experimental research method was adopted, wherein the experimental group was subjected to the situated learning strategy and the control group was subjected to a traditional teaching method. The study results revealed that integrating Webduino programming with situated learning could effectively improve five categories of CT skills; moreover, the activity models of situated learning enhanced the value and expectation dimensions of learning motivation. In addition, satisfaction with the course content and self-identity slightly improved. However, because teachers were required to elaborate on stories to promote learner engagement with life situations, the time available for programming was limited. Thus, no significant difference was observed in teaching satisfaction.

Survey: Artificial Intelligence, Computational Thinking and Learning

2022 ◽  
Author(s):  
Nina Bonderup Dohn ◽  
Yasmin Kafai ◽  
Anders Mørch ◽  
Marco Ragni
Keyword(s):  
Artificial Intelligence ◽  
Computational Thinking

scholarly journals Gentle Introduction to Artificial Intelligence for High-School Students Using Scratch

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 179027-179036 ◽  
Author(s):  
Julian Estevez ◽  
Gorka Garate ◽  
Manuel Grana
Keyword(s):  
Artificial Intelligence ◽  
High School ◽  
High School Students ◽  
School Students

Enhancing High-School Students' Computational Thinking with Educational Robotics Learning

2018 ◽  
Author(s):  
Sasithorn Chookaew ◽  
Suppachai Howimanporn ◽  
Pornjit Pratumsuwan ◽  
Santi Hutamarn ◽  
Warin Sootkaneung ◽  
...  
Keyword(s):  
High School ◽  
High School Students ◽  
Computational Thinking ◽  
Educational Robotics ◽  
School Students

scholarly journals PopBots: Designing an Artificial Intelligence Curriculum for Early Childhood Education

2019 ◽  
Vol 33 ◽  
pp. 9729-9736 ◽  
Author(s):  
Randi Williams ◽  
Hae Won Park ◽  
Lauren Oh ◽  
Cynthia Breazeal
Keyword(s):  
Artificial Intelligence ◽  
Young Children ◽  
Computational Thinking ◽  
Social Robot ◽  
Kindergarten Children ◽  
Learning Needs ◽  
Teaching Approaches ◽  
Childhood Education ◽  
Hands On ◽  
Specific Learning

PopBots is a hands-on toolkit and curriculum designed to help young children learn about artificial intelligence (AI) by building, programming, training, and interacting with a social robot. Today’s children encounter AI in the forms of smart toys and computationally curated educational and entertainment content. However, children have not yet been empowered to understand or create with this technology. Existing computational thinking platforms have made ideas like sequencing and conditionals accessible to young learners. Going beyond this, we seek to make AI concepts accessible. We designed PopBots to address the specific learning needs of children ages four to seven by adapting constructionist ideas into an AI curriculum. This paper describes how we designed the curriculum and evaluated its effectiveness with 80 Pre-K and Kindergarten children. We found that the use of a social robot as a learning companion and programmable artifact was effective in helping young children grasp AI concepts. We also identified teaching approaches that had the greatest impact on student’s learning. Based on these, we make recommendations for future modules and iterations for the PopBots platform.

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