Computational thinking: an investigation of the existing scholarship and research

2013 Spring.Includes bibliographical references.Despite the prevalence of computing and technology in our everyday lives and in almost every discipline and profession, student interest and enrollment in computer science courses is declining. In response, computer science education in K-12 schools and universities is undergoing a transformation. Computational thinking has been proposed as a universal way of thinking with benefits for everyone, not just computer scientists. The focus on computational thinking moves beyond computer literacy, or the familiarity with software, to a way of thinking that benefits everyone. Many see computational thinking as a way to introduce students to computer science concepts and ways of thinking and to motivate student interest in computer science. The first part of this dissertation describes a study in which the researcher systematically examined the literature and scholarship on computational thinking since 2006. The aim was to explore nature and extent of the entire body of literature and to examine the theory and research evidence on computational thinking. Findings reveal that there has been a steady increase in the popularity of the concept of computational thinking, but it is not yet developed to the point where it can be studied in a meaningful way. An examination of the research evidence on computational thinking found inadequacies in the conceptual characteristics and the reporting of studies. Weaknesses were identified in the theoretical conceptualization of interventions, definitions of key concepts, intervention descriptions, research designs, and the presentation of findings. Recommendations for bolstering the research evidence around this burgeoning concept are presented, including collaboration between computer scientists and educational researchers to apply social science research methods to conduct robust studies of computational thinking interventions. The second part of this dissertation describes how computational thinking is currently incorporated into K-12 educational settings. The bulk of the literature on computational thinking describes ways in which programs promote this way of thinking in students. The K-12 programs that encourage computational thinking are classified, described, and discussed in a way that is intended to be meaningful for K-12 educators and educational researchers. Potential barriers and factors that might enable educators to use each category of interventions are discussed

Enthusing and inspiring with reusable kinaesthetic activities

We describe the experiences of three University projects that use a style of physical, non-computer based activity to enthuse and teach school students computer science concepts. We show that this kind of activity is effective as an outreach and teaching resource even when reused across different age/ability ranges, in lecture and workshop formats and for delivery by different people. We introduce the concept of a Reusable Outreach Object (ROO) that extends Reusable Learning Objects. and argue for a community effort in developing a repository of such objects

Creative Computation in High School

In this paper we describe the success of bringing Creative Computation via Processing into two very different high schools that span the range of possibilities of grades 9-12 in American education. Creative Computation is an emerging discipline that requires a thorough grounding in both media arts and computing. We report on how contextualized computing that supports integration of media arts, design, and computer science can successfully attract and motivate students to learn foundations of programming and come back for more. The work of two high school teachers with divergent pedagogical styles is presented. They successfully adapted a college-level Creative Computation curriculum to their individual school cultures providing a catalyst for significant increases in total enrollment as well as female participation in high school computer science

Creative Computation in High School

In this paper we describe the success of bringing Creative Computation via Processing into two very different high schools that span the range of possibilities of grades 9-12 in American education. Creative Computation is an emerging discipline that requires a thorough grounding in both media arts and computing. We report on how contextualized computing that supports integration of media arts, design, and computer science can successfully attract and motivate students to learn foundations of programming and come back for more. The work of two high school teachers with divergent pedagogical styles is presented. They successfully adapted a college-level Creative Computation curriculum to their individual school cultures providing a catalyst for significant increases in total enrollment as well as female participation in high school computer science

Computational Thinking Equity in Elementary Classrooms: What Third-Grade Students Know and Can Do

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

Creative Computation in High School

In this paper we describe the success of bringing Creative Computation via Processing into two very different high schools that span the range of possibilities of grades 9-12 in American education. Creative Computation is an emerging discipline that requires a thorough grounding in both media arts and computing. We report on how contextualized computing that supports integration of media arts, design, and computer science can successfully attract and motivate students to learn foundations of programming and come back for more. The work of two high school teachers with divergent pedagogical styles is presented. They successfully adapted a college-level Creative Computation curriculum to their individual school cultures providing a catalyst for significant increases in total enrollment as well as female participation in high school computer science

Introducing Preservice STEM Teachers to Computer Science: A Narrative of Theoretically Oriented Design

This paper narrates the process of designing a curricular unit that serves to introduce preservice science, technology, engineering, and mathematics (STEM) teachers to computer science (CS) education. Unlike most literature that focuses on results and findings, this paper explains how a justice-centered approach to CS education informed decisions about the theoretical underpinnings of curricular design choices. Situated in issues related to the gentrification of Austin, Texas, the described curricular unit explores how the increased use of CS and growth of the technology sector are having a direct impact on the historically marginalized residents of East Austin. Connected by a theme that maps are both a form of data visualization and political artifact, the described curricular unit uses CS as a tool to: critique the macro-ethics of politics and society; provide a CS learning environment that can be responsive to the multiple social identities of students; and connect CS to larger struggles for justice and liberation.Educatio

Introducing Computational Thinking in K-12 Education: Historical, Epistemological, Pedagogical, Cognitive, and Affective Aspects

Introduction of scientific and cultural aspects of Computer Science (CS) (called "Computational Thinking" - CT) in K-12 education is fundamental. We focus on three crucial areas. 1. Historical, philosophical, and pedagogical aspects. What are the big ideas of CS we must teach? What are the historical and pedagogical contexts in which CT emerged, and why are relevant? What is the relationship between learning theories (e.g., constructivism) and teaching approaches (e.g., plugged and unplugged)? 2. Cognitive aspects. What is the sentiment of generalist teachers not trained to teach CS? What misconceptions do they hold about concepts like CT and "coding"? 3. Affective and motivational aspects. What is the impact of personal beliefs about intelligence (mindset) and about CS ability? What the role of teaching approaches? This research has been conducted both through historical and philosophical argumentation, and through quantitative and qualitative studies (both on nationwide samples and small significant ones), in particular through the lens of (often exaggerated) claims about transfer from CS to other skills. Four important claims are substantiated. 1. CS should be introduced in K-12 as a tool to understand and act in our digital world, and to use the power of computation for meaningful learning. CT is the conceptual sediment of that learning. We designed a curriculum proposal in this direction. 2. The expressions CT (useful to distantiate from digital literacy) and "coding" can cause misconceptions among teachers, who focus mainly on transfer to general thinking skills. Both disciplinary and pedagogical teacher training is hence needed. 3. Some plugged and unplugged teaching tools have intrinsic constructivist characteristics that can facilitate CS learning, as shown with proposed activities. 4. Growth mindset is not automatically fostered by CS, while not studying CS can foster fixed beliefs. Growth mindset can be fostered by creative computing, leveraging on its constructivist aspects