This research category paper examines the impact of computational thinking within first-year engineering courses on student pathways into engineering. Computational thinking and programming appear in many introductory engineering courses. Prior work found that early computational thinking development is critical to the formation of engineers. This qualitative research paper extends the research by documenting how pre-university privileges impact first-year student trajectories into engineering through a qualitative examination of student interviews from three institutions with different processes for matriculation into engineering majors. We identify the underlying assumptions of meritocracy that are concealing the role of educational privilege in selecting which engineering students will be allowed to join the field. We provide a suggestion for how institutions can include computational thinking in introductory engineering courses with less risk of furthering the marginalization of students with few academic privileges.

This Research to Practice Full Paper presents a pilot test framed in educational robotics where parents and child work together during the same session. In recent years, an educational movement has emerged that is related to the introduction of computational thinking, programming, and robotics in schools. Educational robotics is presented as one more resource that serves as a support in the different curricular subjects and facilitates the emergence of skills such as socialization, creative spirit and personal initiative, allowing participants to find answers to the problems that may arise in their reality. It is for this reason that a pilot test was carried out where we included the participants' parents in a session. To do this we used the Crumble controller, a platform that is programmed using block programming language. This platform also allows making electrical connections in an amazingly simple way. From the mechanical point of view, we use materials that can be easily machined, both by children and by inexperienced people. At the end of the experience, the assistants completed the assembly of their own robot. The article contains a study of the state of the art of using educational robotics. It also includes an analysis of the different tools mostly used in educational robotics. Also, throughout the article the learning methodology used, the different educational resources and the results obtained from the experience are described.

This paper presents findings on participants of a massive open online course named "Educational Robotics for all" developed under Open edX platform. The document describes the organization and structure of the MOOC and some of its preliminary results. As an example, Module 2 about Gender and STEAM is presented and discussed.

This research-track work-in-progress paper contributes to engineering education by documenting progress in developing a new standard Engineering Computational Thinking Diagnostic to measure engineering student success in five factors of computational thinking. Over the past year, results from an initial validation attempt were used to refine diagnostic questions. A second statistical validation attempt was then completed in Spring 2021 with 191 student participants at three universities. Statistics show that all diagnostic questions had statistically significant factor loadings onto one general computational thinking factor that incorporates the five original factors of (a) Abstraction, (b) Algorithmic Thinking, (c) Decomposition, (d) Data Representation and Organization, and (e) Impact of Computing. This result was unexpected as our goal was a diagnostic that could discriminate among the five factors. A small population size caused by the virtual delivery of courses during the COVID-19 pandemic may be the explanation and a third round of validation in Fall 2021 is expected to result in a larger population given the return to face-to-face instruction. When statistical validation is completed, the diagnostic will help institutions identify students with strong entry level skills in computational thinking as well as students that require academic support. The diagnostic will inform curriculum design by demonstrating which factors are more accessible to engineering students and which factors need more time and focus in the classroom. The long-term impact of a successfully validated computational thinking diagnostic will be introductory engineering courses that better serve engineering students coming from many backgrounds. This can increase student self-efficacy, improve student retention, and improve student enculturation into the engineering profession. Currently, the diagnostic identifies general computational thinking skill

This full research-track paper demonstrates growth in computational thinking in a cohort of engineering students completing their first course in engineering at a large Southwestern university in the United States. Computational thinking has been acknowledged as a key aspect of engineering education and an intrinsic part of multiple ABET outcomes. However, computing is an area where some students have more privileges (e.g. access and exposure to meaningful use of computers) than others. Integrating computing into engineering, especially early in the curriculum, may exacerbate existing experiential disadvantages students from excluded social identities experience. Most introductory engineering programs have a component of programming and/or computational thinking. A comprehensive literature review showed that no existing computational thinking framework fully met the needs of students and professors in engineering and computer science. As a result, this team created the Engineering Computational Thinking Diagnostic (ECTD). This diagnostic was assessed and improved during the 2019-2020 academic year. Data was collected from a cohort in a first-year engineering course that included topics in mathematics, engineering problem solving, and computation. Pre- and post-test data analysis with 62 participants documents statistically significant student growth in computational thinking in this course. Significant differences were not found by gender or a limited racially-based analysis. This diagnostic is of interest and relevance to all institutions providing engineering and computing programs. The short-term impact of this research includes an innovative approach to gauge student abilities in computational thinking early in a course in order to add appropriate intervention activities into lesson plans. The long-term impact is the creation of a measurement of student learning of computational thinking in engineering for courses and programs that wish to develop this important skill in their students.

The 2030 Agenda for Sustainable Development of UNESCO establishes goals and targets in areas of critical importance for humanity. Recently, members of the eMadrid network have organized the Conference Learning with MOOCs (LWMOOCS 2018), the leading worldwide global conference, inspired by this year's theme “MOOCs for All - A Social and International Approach”. This paper analyzes the main outcomes of this conference organized around the “Quality Education”, the Sustainable Development Goal 4.

ACM and the IEEE Computer Society plan to re-lease their computer engineering curriculum guidelines at the end of this calendar year. The curricular report, tagged CE2016, reflects the state-of-the-art in computer engineering education and practice that would be relevant for the coming decade. This panel presentation provides an overview of the report and it also provides unique perspectives from some steering committee members and other interested parties. The authors and participants will en-gage in discussions on ways to implement the guidelines to form new programs or to modify existing programs. The authors wel-come all audience participation including overall comments and targeted editing assistance from the computer engineering education and industry communities.

This paper introduces the development of a Web-based platform that serves as tool to analyze the evolution and necessities of the new technologies in the education of engineering, as well as to evaluate those that finally will have more possibilities to be implanted. This platform gathers the opinion of engineering education experts to create visual comparisons of the results. The analysis offered by the platform is cross-discipline, cross-country, cross-continent, and cross-technology comparisons.

This project aims to solve the problems of identity authentication of users in online tests. The project integrates a biometric identification module based on techniques of fingerprint recognition in the educational communities and learning management systems where most of the courses for distance education are held. The project aims to cover all the weaknesses that traditionally have the password or user name. The implementation starts from the own fingerprint identification system developed to its final integration in the new environment.

This paper focuses on the use of a rapid prototyping system to develop a simple RISC microprocessor architecture for implementation in field programmable gate arrays. The rapid prototyping system enables engineers and academic professionals to quickly place new concepts into circuitry, thus bypassing the traditional lengthy design time. The system consists of object-based component libraries, created using a standard hardware-description language, along with simulation tools for visual performance verification. Microprocessors based on this architecture have been implemented in various forms of programmable logic to demonstrate the validity of using the rapid prototyping system to create custom computing machines.