COMPUTER SCIENCE TEACHERS AND THEIR TYPOLOGY ACCORDING TO THE PREFERENCES IN COMPUTATIONAL THINKING DEVELOPMENT

Author(s):  
Milan Klement ◽  
Lucie Bryndová
Author(s):  
Betul C. Czerkawski

It has been more than a decade since Jeanette Wing's (2006) influential article about computational thinking (CT) proposed CT to be a “fundamental skill for everyone” (p. 33) and that needs to be added to every child's knowledge and skill set like reading, writing and arithmetic. Wing suggested that CT is a universal skill, and not only for computer scientists. This call resonated with many educators leading to various initiatives by the International Society for Teacher in Education (ISTE) and Computer Science Teachers Association (CSTA) provided the groundwork to integrate CT into the K-12 curriculum. While CT is not a new concept and has been taught in computer science departments for decades, Wing's call created a shift towards educational computing and the need for integrating it into curriculum for all. Since 2006, many scholars have conducted empirical or qualitative research to study the what, how and why of CT. This chapter reviews the most current literature and identifies general research patterns, themes and directions for the future. The purpose of the chapter is to emphasize future research needs by cumulatively looking at what has been done to date in computational thinking research. Consequently, the conclusion and discussion section of the paper presents a research agenda for future.


2018 ◽  
Vol 57 (1) ◽  
pp. 3-31 ◽  
Author(s):  
Yune Tran

The Computer Science Teachers Association has asserted that computational thinking equips students with essential critical thinking which allows them to conceptualize, analyze, and solve more complex problems. These skills are applicable to all content area as students learn to use strategies, ideas, and technological practices more effectively as digital natives. This research examined over 200 elementary students’ pre- and posttest changes in computational thinking from a 10-week coding program using adapted lessons from code.org’s Blockly programming language and CSUnplugged that were delivered as part of the regular school day. Participants benefited from early access to computer science (CS) lessons with increases in computational thinking and applying coding concepts to the real world. Interviews from participants included examples of CS connections to everyday life and interdisciplinary studies at school. Thus, the study highlights the importance of leveraging CS access in diverse elementary classrooms to promote young students’ computational thinking; motivation in CS topics; and the learning of essential soft-skills such as collaboration, persistence, abstraction, and creativity to succeed in today’s digital world.


2018 ◽  
Vol 3 (3) ◽  
pp. 51 ◽  
Author(s):  
Lauren Birney ◽  
Denise McNamara

This article provides an overview of the work pioneered by the consortium of collaborators in the Billion Oyster Curriculum and Community Enterprise for Restoration Science Project (BOP-CCERS). The BOP-CCERS are working to support computational thinking in the New York City public school classrooms by creating curriculum which combines:1. The Field Station Research (Oyster Restoration Stations) and data collection2. The Billion Oyster Project Digital Platform and data input and storage 3. The New York State Science Intermediate Level Learning Standards. 4. The Computer Science Teachers Association K-12 Computer Science StandardsThe integration of computational thinking in the STEM middle school classroom is showcased through the intertwining of these dimensions into a trans-disciplinary learning experience that is rich in both content and practice. Students will be able to explain real-world phenomena found in their own community and design possible solutions through the key components of computational thinking.The Curriculum and Community Enterprise for Restoration Science Project digital platform and curriculum will be the resources that provide the underpinnings of the integration of computational thinking in the STEM middle school classroom. The primary functions of the platform include the collection and housing of the data pertaining to the harbor and its component parts, both abiotic and biotic and the storage of the curriculum for both the classroom and the field stations.


2021 ◽  
Vol 11 (8) ◽  
pp. 443
Author(s):  
Nuno Dorotea ◽  
João Piedade ◽  
Ana Pedro

This paper reports a case study, developed in K-12 Portuguese Education, that aimed to analyze the computer science teachers’ knowledge, interest, and self-confidence to use educational robotics and other programable objects in classroom activities to teach computer science concepts and to promote students’ computational thinking skills. The research design was organized into a descriptive and exploratory quantitative approach. The participants were 174 in-service computer science teachers of Portuguese public education. The data was gathered from the participants, through the online application of the Robotics Interest Questionnaire scale (RIQ). Very positive levels of teacher’s knowledge, interest, and self-efficacy to use educational robotics for teaching purposes were reported in the study outcomes. These constructs were underlined in several studies as relevant factors to promote the use of educational robotics and other similar technologies by the teachers. Despite the study limitations and the small context, a set of relevant results was highlighted on computer science in-service teachers’ interest and preparation to use robotics and to support their students in learning activities with these artifacts.


2011 ◽  
Author(s):  
Edusmildo Orozco ◽  
Rafael Arce-Nazario ◽  
Peter Musial ◽  
Cynthia Lucena-Roman ◽  
Zoraida Santiago

2021 ◽  
pp. 1-11
Author(s):  
Yanli Bao

This paper takes the application of workflow technology in a multi-smart IOT message-driven practical training execution system as the research background, analyzes the current situation and problems of the practical training execution system, and reconstructs and optimizes the original on-site practical training model and business methods according to the future development needs of the practical training execution system. This study draws on the theoretical perspective of the computer knowledge body to deeply recognize and understand the connotation of computing ability from the levels of knowledge, skills, and attitude, forms a basic understanding of computing ability through literature combing, and refines the core elements of computing ability through a combination of enterprise case study, content analysis, and questionnaire survey, strives to form a more systematic and in-depth understanding of the connotation and elements of computing ability. It also provides a reference for the clarification of computing ability training objectives of computer science teachers under the trend of intelligence. Facing the enhancement of computing ability of engineering students majoring in computer science at the undergraduate level, the objectives of computing ability cultivation are clarified, the key points of computing ability cultivation mode are refined from three levels: curriculum design, teaching operation, management, and control, and three typical computing ability cultivation modes embedded in undergraduate computer education are constructed: knowledge module combination mode, computing context experience mode, and intelligent industry-leading mode. The operational strategies and implementation paths of the models are discussed in depth. This study emphasizes that, based on the analysis of the characteristics of the trend of intelligence, the computing ability cultivation model is not static.


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