Search

This article is an extension of a work in progress paper originally presented at the conference FiE 2020, Frontiers in Education by (Schirichian et al., 2020), as a result of Schirichian’s master’s in science dissertation. It studies the relations between academic performance, protection factors, life at university, and personal characteristics to understand how they influence students’ academic success in undergraduate engineering programs in Brazil. In this challenging environment, several students overcome these issues and graduate, which indicates that some protection structures allow students to face challenging situations and be successful in their studies. Current research studied the relationships between academic performance, self-efficacy, causal attributions, personal characteristics, and life at university, with a group of 30 students. Models were studied by combining the different variables and aspects evaluated in the research, and the findings show relationship between academic performance and: 1) self-efficacy, causal attributions, and personal characteristics (such as leisure activities, living with their parents, or college accommodations) and those who attended private schools during basic education; 2 protection factors self-efficacy and causal attributions with advancing in the program and the time of enrolment in the university; and 3) the dimensions initiation and persistence, success/internality and failure/internality, indicating that those who perceive themselves as playing a major role in their academic journey tend to have better outcomes. Further results show the influence of social inequalities, particularly for those students who declared themselves brown and who conducted their basic education in public schools (which are generally of lower quality than private ones in Brazil). [ABSTRACT FROM AUTHOR]

Contribution: This study uncovered specific benefits, challenges, and facilitators to participating in undergraduate research for physically disabled students (PDSs) taken directly from students themselves. Background: Disabled students (DSs) earn bachelor’s degrees and gain employment in STEM careers at rates lower than their peers. The paradigm shift in undergraduate STEM education from lecture-based to inquiry-based learning is an opportunity to explore new options for including DSs. Little is known about designing inquiry-based learning settings for DSs. Research Question: This article seeks to increase the understanding of how to support PDSs in inquiry-based settings. Specifically, the authors documented the experiences of PDS in a summer undergraduate research program to uncover: 1) benefits they receive from participating; 2) specific challenges these students face; and 3) novel ways to facilitate participation. Methodology: The authors conducted semistructured interviews of five undergraduate PDS, who participated in a summer research program. The paper reports representative student responses across themes related to benefits, challenges, and facilitators of success in the program. Findings: The students enjoyed many benefits typically gained from undergraduate research, most notably career clarification. Additionally, the students experienced personal growth, including improved self-advocacy, increased confidence in their independence, and greater understanding of limitations. The main facilitator was the positive attitudes of research mentors. A principal challenge was the lack of knowledge about disability in peers without disabilities who participated in the program. [ABSTRACT FROM AUTHOR]

There is a worldwide trend to modernize old power grid infrastructures to form future smart grids, which will achieve efficient, flexible energy consumption by using the latest technologies in communication, computing, and control. Smart grid initiatives are moving power systems curricula toward smart grids. Although the components of smart grids fall within the broader discipline of electrical and computer engineering, undergraduate students are rarely assigned single design projects that require classic power systems knowledge combined with communication, computing, and control. Therefore, as a significant step toward potential curriculum changes, this paper presents such a project, a smart home test bed based on the pedagogical model of project-based learning (PBL) for undergraduate education. The proposed test bed allows undergraduates to gain key knowledge in smart grid topics, such as flattening demand peaks, real-time price response, wireless sensor networks, machine learning, pattern recognition, embedded system programming, user interface design, circuit design, and databases. This is well aligned with smart grid initiatives and provides a platform for students to develop their creativity in engineering design. It also offers real-life examples to be used for raising general public awareness of energy conservation. [ABSTRACT FROM PUBLISHER]

This paper surveys how the computer input/output (I/O) subsystem is taught in introductory undergraduate courses. It is important to study the educational process of the computer I/O subsystem because, in the curricula recommendations, it is considered a core topic in the area of knowledge of computer architecture and organization (CAO). It is also a basic knowledge to be acquired in order to work in areas such as human–computer interaction (HCI) or embedded systems. Examination questions, course syllabi, and textbooks were analyzed to identify which teaching approaches are being used. Individuals teaching the I/O subsystem could choose between the options explained here, according to their intended learning outcomes. In addition, a literature survey was conducted on the development and use of tools to improve student understanding of I/O and to make the topic less abstract and more attractive. A goal is to indicate to computing education researchers that the majority of the literature reports experiences in developing or using different resources or educational methodologies, but that these are not based on a theory of learning. [ABSTRACT FROM PUBLISHER]

Contribution: A roadmap is provided for building a quantum engineering education program to satisfy U.S. national and international workforce needs. Background: The rapidly growing quantum information science and engineering (QISE) industry will require both quantum-aware and quantum-proficient engineers at the bachelor’s level. Research Question: What is the best way to provide a flexible framework that can be tailored for the full academic ecosystem? Methodology: A workshop of 480 QISE researchers from across academia, government, industry, and national laboratories was convened to draw on best practices; representative authors developed this roadmap. Findings: 1) For quantum-aware engineers, design of a first quantum engineering course, accessible to all STEM students, is described; 2) for the education and training of quantum-proficient engineers, both a quantum engineering minor accessible to all STEM majors, and a quantum track directly integrated into individual engineering majors are detailed, requiring only three to four newly developed courses complementing existing STEM classes; 3) a conceptual QISE course for implementation at any postsecondary institution, including community colleges and military schools, is delineated; 4) QISE presents extraordinary opportunities to work toward rectifying issues of inclusivity and equity that continue to be pervasive within engineering. A plan to do so is presented, as well as how quantum engineering education offers an excellent set of education research opportunities; and 5) a hands-on training plan on quantum hardware is outlined, a key component of any quantum engineering program, with a variety of technologies, including optics, atoms and ions, cryogenic and solid-state technologies, nanofabrication, and control and readout electronics. [ABSTRACT FROM AUTHOR]

Contribution: This article presents a synthesis of the findings and implications from the IC2Think program of research in undergraduate computer science (CS) courses examining student motivation and self-regulated learning (SRL). These studies illuminate both the difficulty and potential for motivating CS students, as well as the uniqueness of CS as a context for studying undergraduate motivation. Background: Computing disciplines are increasingly important in preparing the future workforce. It is imperative that CS educators understand how to motivate students and enhance student outcomes. Synthesizing findings across multiple studies allows for the emergence of new insights into student motivation and SRL. Research Questions: Which aspects of students’ motivation and SRL are predictive of achievement and retention in CS and how can findings inform CS education? Methodology: The primary methodology is a comprehensive review of seven years of research on undergraduate CS education. Studies use a variety of analysis techniques, examine a range of constructs, and include multiple introductory and advanced CS courses. Studies of relationships between variables and change over time were conducted. Findings: The present synthesis of studies on motivation and SRL highlights the complex, counter-intuitive, and positive aspects of student motivation in CS. [ABSTRACT FROM AUTHOR]