Impacts of Unplugged Activities in Computer Science

Computer Science is a fast-growing subject amongst schools. Inside of the program, Computer Science, programming or coding is generally taught. Students will typically learn to code by first using a computer and following instructions. The purpose of this literature review is to research different ideas about unplugged activities used while teaching coding in Computer Science. Unplugged activities are projects that are conducted in hands-on activities instructing students how to code before using a computer. The question that this paper is looking to answer is “What impacts do unplugged activities have on students learning to code?” The research conducted will give examples of different types of projects completed as well as data supporting theories

An Exploratory Investigation of Change in Students' Subjective Perception of Informatics

This paper discusses an exploratory, small-scale investigation of students' perception of informatics from an uncommon perspective, i.e. by addressing change between patterns representing frequencies of associations of keywords and ideas as they emerge from a questionnaire administered to particular groups of subjects. The analysis is aimed at identifying trends of change across subsequent instruction levels as well as in connection with extracurricular outreach programs

JolasMATIKA: An Experience for Teaching and Learning Computing Topics From University to Primary Education

Contribution: A learning-by-teaching methodology through games can be used to promote informatics (computer science) in primary and secondary education. Applying the proposed activities can change students' perception of informatics from seeing it as merely using computers to seeing its relationship with mathematics. The experience can also help students acquire competences in teaching. Background: Although students, specifically in primary and secondary education, are increasingly competent in terms of technology use, it has been found that in many cases informatics, as a science, has been relegated to a secondary status; it is usually considered only as a tool or additional resource, and not as an object of study. Intended Outcomes: To refine the application of the learning-to-teach-to-learn (L2T2L) methodology, a learning-by-teaching methodology that has students learn and then, in turn, teach that learning to younger students, in cascade from university to secondary to primary students. To analyze its effects on students' attitudes toward informatics. Application Design: The model incorporates a learning-by-teaching approach in a multistage sequence across different kinds of learners and teachers, using fun, game-like materials. Findings: The use of the action research methodology allowed adjustment of the educational methodology, providing more reliable data and enough experience to suggest how to extend the project to a broader audience. Although the results obtained were less significant than expected, the experience did give students a more realistic view of informatics.This work was supported in part by the Faculty of Informatics of the University of the Basque Country (UPV/EHU), in part by the Gipuzkoako Foru Aldundia (Etorkizuna Eraikiz 2019 Program), in part by UPV/EHU under Grant HBT-Adituak2018-19/6, in part by the Ministry of Economy and Competitiveness of the Spanish Government and the European Regional Development Fund under Project TIN2017-85409-P, and in part by the Basque Government under ADIAN Grant IT980-16. (All authors contributed equally to this work.

Computational Thinking in Education: Where does it fit? A systematic literary review

Computational Thinking (CT) has been described as an essential skill which everyone should learn and can therefore include in their skill set. Seymour Papert is credited as concretising Computational Thinking in 1980 but since Wing popularised the term in 2006 and brought it to the international community's attention, more and more research has been conducted on CT in education. The aim of this systematic literary review is to give educators and education researchers an overview of what work has been carried out in the domain, as well as potential gaps and opportunities that still exist. Overall it was found in this review that, although there is a lot of work currently being done around the world in many different educational contexts, the work relating to CT is still in its infancy. Along with the need to create an agreed-upon definition of CT lots of countries are still in the process of, or have not yet started, introducing CT into curriculums in all levels of education. It was also found that Computer Science/Computing, which could be the most obvious place to teach CT, has yet to become a mainstream subject in some countries, although this is improving. Of encouragement to educators is the wealth of tools and resources being developed to help teach CT as well as more and more work relating to curriculum development. For those teachers looking to incorporate CT into their schools or classes then there are bountiful options which include programming, hands-on exercises and more. The need for more detailed lesson plans and curriculum structure however, is something that could be of benefit to teachers

Confidence and Common Challenges: The Effects of Teaching Computational Thinking to Students Ages 10-16

This Action Research Project provides data from three different instructors teaching Computational Thinking (CT) to better understand the effects of CT instruction. The researchers focused on identifying problem-solving strategies used by students, what affect teaching CT has on student confidence and ability to problem solve, and what common challenges can be found at different age levels. The study used student pre and post-reflection to measure understanding and comfort with problem-solving. Researchers taught three common lessons of CT including the following concepts: algorithms, loops, conditional statements, and debugging. For data collection, each student was asked to work on a computer game called Human Resource Machine (HRM) while using video and audio to record themselves. Analysis showed a slight decrease in two categories related to working to find a solution to a difficult problem, and the ability to fix small problems that are part of a larger problem. There was a confidence increase in categories related to the ability to do math, the ability to give directions and the ability to someday build a computer. Two of the research sites were able to further break down the data to analyze the differences in the male vs. the female reflections. While CT is often seen as a separate subject, the analysis also showed that reading comprehension has a strong influence on students’ ability to solve CT problems and should be taught in conjunction with CT to ensure students receive the maximum benefit

A Systematic Review of Studies on Educational Robotics

There has been a steady increase in the number of studies investigating educational robotics and its impact on academic and social skills of young learners. Educational robots are used both in and out of school environments to enhance K–12 students’ interest, engagement, and academic achievement in various fields of STEM education. Some prior studies show evidence for the general benefits of educational robotics as being effective in providing impactful learning experiences. However, there appears to be a need to determine the specific benefits which have been achieved through robotics implementation in K–12 formal and informal learning settings. In this study, we present a systematic review of the literature on K–12 educational robotics. Based on our review process with specific inclusion and exclusion criteria, and a repeatable method of systematic review, we found 147 studies published from the years 2000 to 2018. We classified these studies under five themes: (1) general effectiveness of educational robotics; (2) students’ learning and transfer skills; (3) creativity and motivation; (4) diversity and broadening participation; and (5) teachers’ professional development. The study outlines the research questions, presents the synthesis of literature, and discusses findings across themes. It also provides guidelines for educators, practitioners, and researchers in areas of educational robotics and STEM education, and presents dimensions of future research

Constructing Computational Thinking Without Using Computers

International audiencePaper type: application.Background(s):computer science; educational research.Approach:Our approach is very practical: we are focusedon pedagogy and improved classroom practices –what Matthews (1997:8) calls “pedagogical constructivism.”Moreover, we discuss the relationships between our work and Papert’s constructionism.Context: The meaning and implications of “computational thinking” (CT) are only now starting to be clarified, and the applications of the Computer Science (CS) Unplugged approach are becoming clearer as research is appearing. Now is a good time to consider how these relate, and what the opportunities and issues are for teachers using this approach.Problem: The goal here is to connect computational thinking explicitly to the CS Unplugged pedagogical approach, and to identify the context where Unplugged can be used effectively. Method: We take a theoretical approach, selecting a representative sample of CS Unplugged activities and mapping them to CT concepts. Results: The CS Unplugged activities map well onto commonly accepted CT concepts, although caution must be taken not to regard CS Unplugged as being a complete approach to CT education. Implications: There is evidence that CS Unplugged activities have a useful role to help students and teachers engage with CT, and to support hands-on activities with digital devices.Constructivist content: A constructivist approach to teaching computer science concepts can be particularly valuable at present because the public (and many teachers who are likely to have to become engaged with the subject) do not see CS as something they are likely to understand. Providing a clear way for anyone to construct this knowledge for themselves gives an opportunity to empower them when it might otherwise have been regarded as a domain that is open to only a select few

KNITTING CODE: EXAMINING THE RELATIONSHIP BETWEEN KNITTING AND COMPUTATIONAL THINKING SKILLS USING THE NEXUS OF PRACTICE

Due to the rise of careers in STEM-related fields, there is a growing need for schools to produce people to fill these positions. One area of STEM that is growing is computer science/coding. Due to this demand, schools need to be intentional about exposing students to computer science/coding. There are a variety of new tools to introduce students to this field. One growing belief is that knitting can teach computer science/coding to students. The goal of this study was to see if knitting can serve as an introduction to teach students computation skills. Kitting has historically been used to code information, and numerous statements have been made that knitting can teach computer coding. The rationale behind this thought is that both fields have similar components and can serve to make coding more accessible to a broader audience. Suppose students that generally would not identify with computer science/coding due to perceived social norms develop an interest in knitting. In that case, they could use what they learned as a foundation to develop an interest in computer coding. This is based on Scollon\u27s Nexus of Practice (2001), which studies how practices are linked together. This theory believes that combining different practices makes a possible crossover from one practice to another. As a result, what may not have been accessible at first due to biases or identity, may become more accessible. This study will focus on whether knitting can teach students computational skills and change students’ identity towards computer science/coding. There is limited research on the relationship between knitting and coding. This case study attempted to determine if knitting could teach coding. The research was conducted during two three-week summer enrichment programs. Results revealed that teaching computer coding through knitting was comparable to traditional instruction. While not necessarily better, this shows that knitting can teach computation skills and improve identity. This could be important for encouraging students that would not typically study computer science/coding to enter the field