scholarly journals Computational Thinking: A Pedagogical Approach Developed to Prepare Students for the Era of Artificial Intelligence

2021 ◽  
Author(s):  
Gulustan Dogan ◽  
Yang Song ◽  
Damla Surek
Keyword(s):  
Artificial Intelligence ◽  
Computational Thinking ◽  
Pedagogical Approach

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

Computational Expression

2021 ◽  
pp. 134-156
Author(s):  
Amanda L. Strawhacker ◽  
Amanda A. Sullivan
Keyword(s):  
Stem Education ◽  
Visual Arts ◽  
21St Century ◽  
Fine Arts ◽  
Computational Thinking ◽  
Thinking Skills ◽  
Pedagogical Approach ◽  
The Past ◽  
Science Technology ◽  
And Mathematics

In the past two decades, STEM education has been slowly replaced by “STEAM,” which refers to learning that integrates science, technology, engineering, arts, and mathematics. The added “Arts” portion of this pedagogical approach, although an important step towards integrated 21st century learning, has long confused policymakers, with definitions ranging from visual arts to humanities to art education and more. The authors take the position that Arts can be broadly interpreted to mean any approach that brings interpretive and expressive perspectives to STEM activities. In this chapter, they present illustrative cases inspired by work in real learning settings that showcase how STEAM concepts and computational thinking skills can support children's engagement in cultural, performing, and fine arts, including painting, sculpture, architecture, poetry, music, dance, and drama.

Rhyme and Reason

2021 ◽  
pp. 84-106
Author(s):  
Madhu Govind ◽  
Ziva Reimer Hassenfeld ◽  
Laura de Ruiter
Keyword(s):  
Early Childhood ◽  
Teaching And Learning ◽  
Empirical Work ◽  
Computational Thinking ◽  
Pedagogical Approach ◽  
Computational Literacy

The chapter begins with an exploration of computational thinking (CT) and its relationship to computational literacy, followed by a summary of theoretical and empirical work that aims to elucidate the connections among coding, CT, and literacy. The authors argue that these connections thus far have been predominantly one of support (i.e., unidirectional) and motivated by technological and policy advances, as opposed to considering the connections as mutually reinforcing and developmentally coaligned. The authors discuss the coding as another language (CAL) pedagogical approach, a pedagogy that presents learning to program as akin to learning how to use a new language for communicative and expressive functions, emphasizing the bidirectional connections between the two domains. Finally, the authors detail various curricula that use the CAL approach and discuss the implications of CAL for teaching and learning in early childhood.

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.

Critical Digital Humanities

2019 ◽  
Author(s):  
James E. Dobson
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Computational Methods ◽  
Digital Humanities ◽  
Data Science ◽  
Computational Thinking ◽  
Major Question ◽  
Computational Tools ◽  
Multiple Dimensions ◽  
Selection For

This book seeks to develop an answer to the major question arising from the adoption of sophisticated data-science approaches within humanities research: are existing humanities methods compatible with computational thinking? Data-based and algorithmically powered methods present both new opportunities and new complications for humanists. This book takes as its founding assumption that the exploration and investigation of texts and data with sophisticated computational tools can serve the interpretative goals of humanists. At the same time, it assumes that these approaches cannot and will not obsolete other existing interpretive frameworks. Research involving computational methods, the book argues, should be subject to humanistic modes that deal with questions of power and infrastructure directed toward the field’s assumptions and practices. Arguing for a methodologically and ideologically self-aware critical digital humanities, the author contextualizes the digital humanities within the larger neo-liberalizing shifts of the contemporary university in order to resituate the field within a theoretically informed tradition of humanistic inquiry. Bringing the resources of critical theory to bear on computational methods enables humanists to construct an array of compelling and possible humanistic interpretations from multiple dimensions—from the ideological biases informing many commonly used algorithms to the complications of a historicist text mining, from examining the range of feature selection for sentiment analysis to the fantasies of human subjectless analysis activated by machine learning and artificial intelligence.

Learning Culture and Computational Thinking in a Spanish Course: A Development Model

2020 ◽  
pp. 073563312097853
Author(s):  
Shenghua Zha ◽  
Debra A. L. Morrow ◽  
Jennifer Curtis ◽  
Shane Mitchell
Keyword(s):  
High School ◽  
Computer Science ◽  
Small Groups ◽  
Computational Thinking ◽  
Learning Culture ◽  
Development Model ◽  
Instructional Models ◽  
Pedagogical Approach ◽  
Integration Model ◽  
K 12

Computer science and computational thinking (CT) education in K-12 schools have been escalating in recent years. A couple of CT instructional models have been proposed to depict the roles of CT in K-16 education. Yet, neither of them discussed CT infusion into a subject course. In this article, we proposed a CT-integration model called TPC2T. In this model, we suggested considering CT as a second subject and using an appropriate technological pedagogical approach to make students’ learning of two subjects meaningful and engaging. We implemented this model in a CT-integrated lesson in two sections of a high-school Spanish course. Students worked in small groups and coded three small and one comprehensive digital Spanish-culture stories in Scratch. Results showed that students taking the CT-integrated lesson had the same degree of improvement in their Spanish culture knowledge as their peers who did not take the CT-integrated lesson. Besides, students taking the CT-integrated lesson had a significant improvement in their CT knowledge. At the same time, their CT self-efficacy outperformed those who did not take the CT-integrated lesson. We discussed the results and offered suggestions for researchers and educators at the end of the article.

scholarly journals Coding, robotics and socio-emotional learning: developing a palette of virtues

2021 ◽  
pp. 309-322
Author(s):  
Marina Umaschi Bers
Keyword(s):  
Emotional Development ◽  
Developmentally Appropriate ◽  
Computational Thinking ◽  
Moral Values ◽  
Symbolic Language ◽  
Pedagogical Approach ◽  
Programming Environments ◽  
Creative Play ◽  
Positive Behaviors ◽  
Collaborative Play

This paper describes a pedagogical approach, Coding as Another language (CAL) to teach programming and computational thinking in early childhood. The CAL curriculum connects powerful ideas from the discipline of computer science with ideas from literacy in a way that is developmentally appropriate for children 4-8 years of age. CAL is free and can be used with two widely available programming environments for young children: the free on-screen ScratchJr app and the KIBO robotics kit that doesnt require keyboards or screens. Through 24 lessons centered on books, CAL emphasizes creative play and self-expression by positioning the learning of programming as the mastering of a new symbolic language. In addition, CAL provides opportunities for socio-emotional development in the context of a collaborative play-based learning environment, a coding playground, in which there is purposeful exploration of ethical and moral values and intentional promotion of positive behaviors and chrachter strenghs.

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