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Artificial neural networks, inspired by the biological networks of the human brain, have become game-changing computing models in modern computer science. Inspired by their wide scope of applications, synthetic biology strives to create their biological counterparts, which we denote synthetic biological neural networks (SYNBIONNs). Their use in the fields of medicine, biosensors, biotechnology, and many more shows great potential and presents exciting possibilities. So far, many different synthetic biological networks have been successfully constructed, however, SYNBIONN implementations have been sparse. The latter are mostly based on neural networks pretrained in silico and being heavily dependent on extensive human input. In this paper, we review current implementations and models of SYNBIONNs. We briefly present the biological platforms that show potential for designing and constructing perceptrons and/or multilayer SYNBIONNs. We explore their future possibilities along with the challenges that must be overcome to successfully implement a scalable in vivo biological neural network capable of online learning. [ABSTRACT FROM AUTHOR]

With current developments in robotics and artificial intelligence (AI) comes an increased focus on the ethical production and use of such novel technologies. Accordingly, a trend toward "embedded ethics" is seen in recent research, reflecting an increase in efforts to integrate social and ethical considerations in computer science education and early in the development phases of AI and robotics. What remains to be established, however, is a more concrete understanding of the best working modalities for such interdisciplinary collaborations. In this brief discussion paper, we provide reflections derived from our interdisciplinary Responsible Robotics project which integrates ethicists and social scientists at early stages of development. We put forward several suggestions on how to integrate ethics and social science within technological development. We believe these suggestions can serve as a working taxonomy of best practices for embedded ethics. [ABSTRACT FROM AUTHOR]

Software testing is the most used technique for quality assurance in industry. However, in computer science education software testing is still treated as a second-class citizen and students are unable to test their software well enough. One reason for this is that teaching the subject of software testing is difficult as it is a complex intellectual activity for which students need to allocate multiple cognitive resources at the same time. A myriad of primary and secondary studies have tried to solve this problem in education, however still with very limited results. Before we can design interventions to improve our pedagogical approaches, we need to gain more in-depth understanding and recognition of sensemaking as it is happening when students design test cases. An initial exploratory study identified four different sensemaking approaches used by students while creating test models. In this paper we present a follow-up study with 50 students from a large university in Spain. The used methodology was based on the previous study with the improvements that originated from its evaluation. We asked the participants to create a test model based on a description of a test problem using a specialized web-based tool for modeling test cases. We measured how well these models fit the test problem, the sensemaking process that students went through when creating the models, and the students' perception of the modeling task. The participants received no compensation for their efforts, and we scheduled the experiment during a regular class. Apart from the created models and their metadata, we also collected recordings of the students' computer screens made during the experiment and used a questionnaire to study their perspectives on the assignment. All the collected textual, graphical, and video data was analyzed using an iterative inductive analysis process to allow new information about the different sensemaking approaches to emerge. We gained better insights into the sensemaking processes of students while modeling test cases for a problem. The results enabled us to refine our previous findings, and we identified new sensemaking approaches. Based on these results, we can further investigate ways to influence the sensemaking process in education, the possible misconceptions that have a negative influence on it, and the desired mental model we want our students to have to design test cases. [ABSTRACT FROM AUTHOR]

Teaching basic computational concepts and skills to school children is currently a curricular focus in many countries. Running parallel to this trend are advances in programming environments and teaching methods which aim to make computer science more accessible, and more motivating. In this paper, we describe the design and evaluation of Flip, a programming language that aims to help 11–15 year olds develop computational skills through creating their own 3D role-playing games. Flip has two main components: 1) a visual language (based on an interlocking blocks design common to many current visual languages), and 2) a dynamically updating natural language version of the script under creation. This programming-language/natural-language pairing is a unique feature of Flip, designed to allow learners to draw upon their familiarity with natural language to “decode the code”. Flip aims to support young people in developing an understanding of computational concepts as well as the skills to use and communicate these concepts effectively. This paper investigates the extent to which Flip can be used by young people to create working scripts, and examines improvements in their expression of computational rules and concepts after using the tool. We provide an overview of the design and implementation of Flip before describing an evaluation study carried out with 12–13 year olds in a naturalistic setting. Over the course of 8 weeks, the majority of students were able to use Flip to write small programs to bring about interactive behaviours in the games they created. Furthermore, there was a significant improvement in their computational communication after using Flip (as measured by a pre/post-test). An additional finding was that girls wrote more, and more complex, scripts than did boys, and there was a trend for girls to show greater learning gains relative to the boys. [ABSTRACT FROM AUTHOR]

Computational thinking (CT) is being consolidated as a key set of problem-solving skills that must be developed by the students to excel in our software-driven society. However, in psychological terms, CT is still a poorly defined construct, given that its nomological network has not been established yet. In a previous paper, we started to address this issue studying the correlations between CT and some fundamental cognitive variables, such as primary mental abilities and problem-solving ability. The current work deepens in the same direction as it aims to extend the nomological network of CT with non-cognitive factors, through the study of the correlations between CT, self-efficacy and the several dimensions from the ‘Big Five’ model of human personality: Openness to Experience, Conscientiousness, Extraversion, Agreeableness, and Neuroticism. To do so, the Computational Thinking Test (CTt) and some additional self-efficacy items are administered on a sample of 1251 Spanish students from 5th to 10th grade ( N = 1251), and the Big Five Questionnaire-Children version (BFQ-C) is also taken by a subsample from the above ( n = 99). Results show statistically significant correlations between CT and self-efficacy perception relative to CT performance ( r s = 0.41), in which gender differences in favor of males are found ( d = 0.42). Moreover, results show statistically significant correlations between CT and: Openness to Experience ( r = 0.41), Extraversion ( r = 0.30), and Conscientiousness ( r = 0.27). These findings are consistent with the existing literature except for the unexpected correlation between CT and the Extraversion factor of personality, which is consequently discussed in detail. Overall, our findings corroborate the existence of a non-cognitive side of CT that should be taken into account by educational policies and interventions aimed at fostering CT. As a final contribution, the extended nomological network of CT integrating cognitive and non-cognitive variables is depicted. [ABSTRACT FROM AUTHOR]

A new school subject, Leaving Certificate Computer Science, was introduced in September 2018 into Irish schools in a period of curriculum reform and change. Drawing on concepts of teacher agency and learner agency, and viewed through a figurational sociology lens, this paper explored the realities of teaching LCCS and the role teacher agency and learner agency played in such enactment. Through a case study design, four teachers were interviewed in a focus group semi-structured manner. To delve deeper into the pedagogical approaches used in LCCS, a further one teacher and their nine students were interviewed. The findings highlight an influential relationship (positive and negative, encouraging and discouraging) between teachers' agentic decisions in their process of achieving teacher agency and the students process of achieving learner agency. The paper offers a figurational viewpoint of the relationship between teacher agency and learner agency through a constructed Figure. We explicitly argue that the responsibility should not be placed on the teacher and student in achieving agency (as a product) but it is a combination of the teacher and the students and the other interdependent relationships within their figurations, alongside contextual factors, and educational social processes, which determine the fluctuation of the process of achieving teacher and learner agency. The paper provides considerations for computer science teacher education. • Explores the relationship between teacher agency and learner agency in Computer Science subject. • Uses figurational sociology to further understand the process of achieving agency. • Qualitative research study. • Considerations provided for Computer Science teacher education. [ABSTRACT FROM AUTHOR]

Computational thinking (CT) is being located at the focus of educational innovation, as a set of problem-solving skills that must be acquired by the new generations of students to thrive in a digital world full of objects driven by software. However, there is still no consensus on a CT definition or how to measure it. In response, we attempt to address both issues from a psychometric approach. On the one hand, a Computational Thinking Test (CTt) is administered on a sample of 1,251 Spanish students from 5th to 10th grade, so its descriptive statistics and reliability are reported in this paper. On the second hand, the criterion validity of the CTt is studied with respect to other standardized psychological tests: the Primary Mental Abilities (PMA) battery, and the RP30 problem-solving test. Thus, it is intended to provide a new instrument for CT measurement and additionally give evidence of the nature of CT through its associations with key related psychological constructs. Results show statistically significant correlations at least moderately intense between CT and: spatial ability ( r = 0.44), reasoning ability ( r = 0.44), and problem-solving ability ( r = 0.67). These results are consistent with recent theoretical proposals linking CT to some components of the Cattel-Horn-Carroll (CHC) model of intelligence, and corroborate the conceptualization of CT as a problem-solving ability. [ABSTRACT FROM AUTHOR]

Despite recent improvements, women remain underrepresented in Computer Science (CS) in both industry and higher education. Self-perception and identity play an important role in young women's opinions of careers in CS. We believe that by presenting software programming in a way that facilitates identity exploration early on, young girls will be more likely to consider careers in CS later in life. In partnership with an organization that focuses on technology education for middle school girls we developed a game design workshop in an effort to change young girls' perception of CS by increasing their knowledge of programming and empowering them to develop their own identities as computer scientists. This paper presents the results of a case study with 21 participants that was carried out to evaluate the workshop's short-term influence on young girls' attitudes towards CS. The study employed a mixed methods design, including a pre and post application of a validated survey instrument, focus-group interviews, and content analysis of games developed by the students. The pre and post surveys focused on how students' attitudes towards computing may have been influenced by their participation in the workshop; the focus-group interviews aimed to gain further insight into their workshop experience; and the content analysis of games focused on the learning outcomes of our workshop. The findings suggest that the workshop resulted in improvements in both young girls' attitudes towards CS as well as in their self-reported confidence and competence with computers. These results highlight the importance of providing positive identity exploration opportunities in shaping female students' attitudes towards CS. [ABSTRACT FROM AUTHOR]

On-line teacher communities constitute a very popular and dynamic field while they foster a new philosophy for professional development which is characterised as associative, constructivist, reflective, situated, collaborative, and connectivist. This paper reports on the design and the implementation of a learning community consisting of computer science teachers teaching in primary and secondary public schools (K–9), in Greece. The conceptual and the operational dimensions of the on-line community design framework are presented in detail. The architecture of an integrated platform, developed to support the teacher community, as well as the tools and the features it incorporates are also outlined. Finally, we present the findings of a pilot study concerning teachers' presence within the community as well as their views and perceptions of community learning. The results provided supportive evidence of the effectiveness of the design framework and revealed important information with regard to critical indicators of teachers' learning presence within the community, i.e. members' participation, engagement, interaction and cohesion. [ABSTRACT FROM AUTHOR]

In this paper I explore cross-linguistic rhetorical variation in the Literature Review chapters of 30 computer science doctoral theses written by English L1 (EngL1), Spanish L1 (SpaL1) and English L2 (EngL2) writers. Using Kwan's (2006) genre-analytical framework (Move 1: Establishing one part of the territory of one's own research; Move 2: Creating a niche; Move 3: Occupying the research niche), I particularly examine how writers present their research in Move 3 (M3). The results show the functional importance of M3 strategies in the computer science PhD thesis Literature Reviews. The texts in English present a higher number of occurrences and a wider range of M3 strategies than the SpaL1 texts. However, the SpaL1 texts are more homogeneous in terms of rhetorical distribution. Variation is also found in the linguistic mechanisms that the writers of the three groups use to make themselves visible and promote their work. National writing styles, discipline conventions and language barriers to effective interpersonal communication seem to have an influence on these writers. EAP courses and specific genre-based writing instruction could help junior scholars to successfully manage M3 strategies. [ABSTRACT FROM AUTHOR]

• This systematic review examined how CS education was implemented in schools and its efficacy for developing students' computational thinking (CT). • Although educational interventions have not always been successful in CS education, this review provides strong evidence that overall, CS education promotes the development of students' CT in the K-12 setting while improving their creative and critical thinking skills. • When integrated into other subjects, CS education increases students' motivation, commitment, participation, and interest in the subject matter. • We recommend early access to CS education, various innovative instructional approaches to CS education and appropriate support and guidance for student learning. Also, there is a need for professional development opportunities for CS educators. This systematic review examined how computer science (CS) education was implemented in schools and its efficacy for developing students' computational thinking (CT). Sixty-six papers were selected for this systematic review and analyzed for patterns in relation to the implementation of CS education in K-12 schools and its impact on the development of students' CT skills. Although educational interventions have not always been successful in CS education, this review provides strong evidence that overall, CS education promotes the development of students' CT in the K-12 setting while improving their creative and critical thinking skills. We recommend early access to CS education, various innovative instructional approaches to CS education and appropriate support and guidance for student learning. [ABSTRACT FROM AUTHOR]

Programming is more than just coding, for, it exposes students to computational thinking which involves problem-solving using computer science concepts like abstraction and decomposition. Even for non-computing majors, computational thinking is applicable and useful in their daily lives. The three dimensions of computational thinking are computational concepts, computational practices and computational perspectives. In recent years, the availability of free and user-friendly programming languages has fuelled the interest of researchers and educators to explore how computational thinking can be introduced in K-12 contexts. Through an analysis of 27 available intervention studies, this paper presents the current trends of empirical research in the development of computational thinking through programming and suggests possible research and instructional implications. From the review, we propose that more K-12 intervention studies centering on computational practices and computational perspectives could be conducted in the regular classroom. To better examine these two dimensions, students could be asked to verbalize their thought process using think aloud protocol while programming and their on-screen programming activity could be captured and analyzed. Predetermined categories based on both past and recent programming studies could be used to guide the analysis of the qualitative data. As for the instructional implication, it is proposed that a constructionism-based problem-solving learning environment, with information processing, scaffolding and reflection activities, could be designed to foster computational practices and computational perspectives. [ABSTRACT FROM AUTHOR]

Block-based programming languages are becoming increasingly common in introductory computer science classrooms across the K-12 spectrum. One justification for the use of block-based environments in formal educational settings is the idea that the concepts and practices developed using these introductory tools will prepare learners for future computer science learning opportunities. This view is built on the assumption that the attitudinal and conceptual learning gains made while working in the introductory block-based environments will transfer to conventional text-based programming languages. To test this hypothesis, this paper presents the results of a quasi-experimental classroom study in which programming novices spent five-week using either a block-based or text-based programming environment. After five weeks in the introductory tool, students transitioned to Java, a conventional text-based programming language. The study followed students for 10 weeks after the transition. Over the course of the 15-week study, attitudinal and conceptual assessments were administered and student-authored programs were collected. Conceptual learning, attitudinal shifts, and changes in programming practices were analyzed to evaluate how introductory modality impacted learners as they transitioned to a professional, text-based programming language. The findings from this study build on earlier work that found a difference in performance on content assessments after the introductory portion of the study (Weintrop & Wilensky, 2017a). This paper shows the difference in conceptual learning that emerged after five weeks between the block-based and text-based conditions fades after 10 weeks in Java. No differences in programming practices were found between the two conditions while working in Java. Likewise, differences in attitudinal measures that emerged after working in the introductory environments also faded after 10 weeks in Java, resulting in no difference between the conditions after 15 weeks. The contribution of this work is to advance our understanding of the benefits and limits of block-based programming tools in preparing students for future computer science learning. This paper presents the first quasi-experimental study of the transfer of knowledge between block-based and text-based environments in a high school setting. The lack of significant differences between the two introductory programming modalities after learners transition to professional programming languages is discussed along with the implications of these findings for computer science education researchers and educators, as well as for the broader community of researchers studying the role of technology in education. • Students who learned with a block-based programming environment outperformed peers who used an isomorphic text-based tool. • In transitioning to Java, there was no difference in achievement between learners coming from block-based or text-based tools. • There were no significant differences in attitudes between block-based and text-based learners 10 weeks into learning Java. • A text-based introduction to coding did not engender more successful Java programming practices than a block-based approach. • The modality of the introductory tool (block or text-based) had no effect on student outcomes after 10 weeks of learning Java. [ABSTRACT FROM AUTHOR]