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Contribution: This article features a systematic literature review with the objective of presenting a study that reflects the current scenario of research on the cognitive load theory (CLT) in the domain of teaching and learning computer programming. Background: Computer programming is a highly cognitive skill, requiring mastering multiple competencies, and recognized as being difficult to learn, for this reason, the cognitive load (CL) in the learner’s working memory emerged as an influential concept, making CLT one of the most common theories in computing education research. Research Questions: What are the approaches that relate CLT to teaching and learning computer programming? What CLT-related concepts are covered? What evidence is reported with respect to this context? Methodology: Following a formal protocol, a survey was performed for papers linking CLT to teaching and learning programming published between 2010 and 2020. The selection of papers was based on a set of criteria established to drive the selection process, including alignment with the research questions and paper quality assessment. Findings: The approaches applied in the papers are based on measuring the CL; through instructional design based on the development or use of resources or tools, a range of different pedagogy strategies and the CLT concepts. With respect to the concepts, the subjective measurement technique and worked example effect are the most commonly deployed. As far as the evidence reported, the better part is related to the worked example effect and measuring CLs. [ABSTRACT FROM AUTHOR]

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 paper introduces the real-world limitations and non-technical aspects of power electronics (PEs) projects to students through innovative tutorial activities. Background: Many electrical engineering curricula offer a PE courses (PECs) for third- or fourth-year undergraduate students. Prior research on PEs education mainly focused on improving students’ experimental skills through developing practical experiments, laboratory activities, and problem/project-based learning. An instructional approach that instead employs real-world knowledge and skills is worth evaluating. Intended Outcomes: Students should be able to consider real-world technical and non-technical limitations when applying theory to design PE circuits and converters, and be able to select and carry out appropriate tests to troubleshoot circuits. Application Design: Prior research on engineering education emphasized the importance of introducing real-world limitations to the students as part of their curriculum. This paper suggests that the tutorial activities presented in a PEC can help students acquire skills in designing and troubleshooting a circuit or system according to desired technical aspects, real-world limitations, and available data. Findings: Evidence of the validity of this approach in a PEC at two Australian universities, over four academic years, is provided. Students receiving the new tutorial activities had percentage scores some 10–15 points higher than those who had traditional tutorials. Another evaluation reveals the students’ vibrant participation in the activities during the new tutorial sessions. [ABSTRACT FROM AUTHOR]

Contribution: This paper presents a model for educational robotics tools and a corresponding set of heuristics for their development and evaluation specifically adapted to the needs and expectations in formal education settings. Background: The increased use of educational robots in classrooms, and the steadily growing number of alternatives from which to choose, bring the requirement for appropriate methods to develop and evaluate these tools. Yet the current body of literature does not provide comprehensive frameworks that allow this question to be adequately addressed. Although previous research has studied the use of educational robotics in classrooms, there is still a lack of methods to support their development and evaluation. Intended Outcomes: An evaluation framework to support researchers, engineers, educators, and decision makers in taking informed decisions about educational robotics systems. Application Design: This paper proposes to consider activities involving educational robotics tools as a kind of “educational augmented tabletop game.” Within this framework, a set of fourteen heuristics was devised, based on literature on games and learning tools. The validity of these heuristics was examined with a heterogenous group of twelve school teachers, who tested five different educational robotics systems. Findings: The participating teachers had a high level of approval for the heuristics devised. A heuristic evaluation based on the framework proposed here appeared to more appropriately reflecting the teachers’ needs than did conventional methods, namely the isolated comparison of system characteristics. [ABSTRACT FROM AUTHOR]

Contribution: This paper contributes to the literature by confirming the existence, in gender and socio-economic diversified higher educational environments, of differential evaluation ratings given by students to their teachers. Background: Women and low socio-economic classes have historically been under-represented, both as students and teachers. Various policies and measures are being put in place internationally to raise their standing, equity, and success as they progress in their careers. To be effective, the after effects of these policies must be investigated and understood. Research Questions: This paper addressed the question of whether gender and socio-economic differences, in both teachers and students, affect students’ opinion of their teachers in higher education, across a number of disciplines. Methodology: The research analyzed the differentials in students’ ratings of their teachers in five disciplines in the field of education. Data was drawn from student responses to the surveys conducted in a large Indian university at the end of each course unit. The survey questions elicit their perceptions of teaching quality in the disciplines of civil engineering, electrical engineering, computer science engineering, mathematics, humanities and social sciences. This paper analyzes 112 919 and 16 354 complete sets of student ratings, to study the gender and socio-economic diversity based effects respectively. Statistical multivariate and univariate general linear models were used to derive the relevant results and graphs. Findings: The study reveals the existence of socio-economic status bias, gender-typical behavior, gender-atypical behavior, and same-gender and cross-gender biases; these resulted in differential ratings in the disciplines examined. [ABSTRACT FROM AUTHOR]

Contribution: This paper provides evidence for the benefits of pair programming early in the curriculum on student performance later in the curriculum. It also confirms the short term benefits of partnerships at scale. Background: Engineers often work in teams, both in industry and in academia. Previous work has shown that partnered programming yields higher student performance during the course in which students partner. Research Questions: This paper investigates the long term effects of early curriculum pair programming on student performance in a following course. Specifically, do student partnerships impact long-term student performance in a later course? Are previously observed effects of partner programming robust to a larger sample size? Methodology: This quantitative analysis examines 2468 students in an introductory computer science sequence at a large, public research institution. The data set comprises two academic years and includes partnership participation, project and exam scores, withdraw rates, time between courses, GPA, and gender. Findings: A positive relationship is observed between partnering in an introductory course, and higher project scores in a future course, where all students worked alone ( $N = 1003$ ). Students with the lowest GPAs experienced the greatest benefits. Additionally, results with a large population of students confirm the observations of previous research, showing that partnerships are associated with an overall positive grade impact during the course in which the partnership takes place ( $N = 2468$ ). [ABSTRACT FROM AUTHOR]

Contribution: This paper illustrates how to design and implement curricula in terms of the combined use of flipped learning and inquiry-based learning in an engineering course. Background: Elementary courses in engineering schools are conventional and foundational, and involve a considerable amount of knowledge. Throughout such courses, students are also expected to develop insight, which cannot be obtained by only listening to instructors. Having relevant discussions is also difficult for most instructors. Intended Outcomes: The combined use of flipped learning and inquiry-based learning would be beneficial to broaden student achievement. Application Design: Based on an epistemological approach about knowledge and knowing, this paper applies the combined use of flipped learning and inquiry-based learning to enhance student knowledge and advance ways of thinking on a System Modeling and Control course. Findings: The extended learning time and the collective responsibility for learning are discussed as critical issues in applying the combined use of flipped learning and inquiry-based learning in an engineering school. [ABSTRACT FROM AUTHOR]

Contribution: This paper reports a curriculum development in hybrid problem-based learning (h-PBL), addresses the design, implementation, effectiveness, and assessment issues of h-PBL, and explains the mixed results observed regarding the impact of problem-based learning (PBL) on student grades from a hybrid perspective. Background: The effect of PBL on student learning is difficult to analyze. Empirical research on h-PBL has been scant in the engineering education field. Intended Outcomes: The hybrid approach described in this paper can be used to guide other course designs. Future research directions are also provided in order to better capture the positive effects of PBL on student learning. Application Design: A 3-D imaging project was developed and implemented using h-PBL. A non-parametric hypothesis test was conducted to compare four-year student performance data collected after the implementation of h-PBL with four-year student performance data collected under traditional lecturing; both sets of students were taught by the same instructor. Findings: Student project grades improved after h-PBL, whereas student cumulative course grades did not show significant improvement. The study suggests that higher ratios and weights of PBL, better timing in introducing PBL, and more integrated course components in the hybrid approach may further improve student performance. [ABSTRACT FROM AUTHOR]

Quantum mechanics (QMs) is a foundational subject in many science and engineering fields. It is difficult to teach, however, as it requires a fundamental revision of the assumptions and laws of classical physics and probability. Furthermore, introductory QM courses and texts predominantly focus on the mathematical formulations of the subject and lay less emphasis on its conceptual understanding. Consequently, students struggle to build robust mental models of the concepts. This paper posits that games can provide an effective platform for an experiential and conceptual understanding of introductory QM. Games are particularly suitable for demonstrating QM characteristics because their repetitive nature is conducive to demonstrating probability concepts that form a core part of QM. Games can also immerse students in an engaging environment that motivates them to learn. This paper presents the design and evaluation of a digital game for learning introductory QM concepts. The evaluation of the game indicates an improvement in students’ conceptual understanding of probability. Students also reported an increase in comfort level with key concepts taught in the game. [ABSTRACT FROM AUTHOR]

Task interpretation is a critical first step for students in the process of self-regulated learning, and a key determinant when they set goals in their learning and select strategies in assigned work. This paper focuses on the explicit and implicit aspects of task interpretation based on Hadwin’s model. Laboratory activities improve students’ conceptual understanding, as they utilize cognitive ability to integrate the new experiences these provide. The purpose of this paper is to investigate how students’ interpretation of a task assigned during laboratory work may change during the task process, and how this relates to their conceptual understanding. A total of 143 students enrolled in an electronics course participated in this paper. Instruments to measure task interpretation and conceptual understanding were created, piloted, and applied before and after selected laboratory activities over the semester. Findings suggest that while students’ task interpretation changes during the task process, increasing after the completion of the laboratory activity levels of task interpretation are low. Previous research findings—that students generally have an incomplete understanding of the assigned tasks and struggle to establish a connection between laboratory activities and the theory—were confirmed. Lastly, this paper reports a significant relationship between students’ task interpretation and their conceptual understanding in laboratory work. Further investigation is necessary to unveil other factors related to these constructs in order to engage students in laboratory work. [ABSTRACT FROM AUTHOR]

Engineering education is undergoing a restructuring driven by the needs of an increasingly multidisciplinary engineering profession. At the same time, power systems are transitioning toward future smart grids that will require power engineers with skills outside of the core power engineering domain. Since including new topics in the existing curriculum while maintaining the existing requirements is difficult, this paper proposes a project-based cooperative learning approach to promote soft skills in an engineering course. This paper then shows how to construct a realistic open-ended multidisciplinary problem whose solution requires a wide range of skills, which is not a trivial task. The design and technoeconomic viability assessment of a small-scale photovoltaic battery system is used as a case study. The effectiveness of the approach and students’ satisfaction were assessed over two years. Survey results after the first year revealed that the students did not feel sufficiently prepared for multidisciplinary work. After appropriate adjustments in the second year, the survey results improved noticeably. Statistical analysis reveals that the project teaches skills that are complementary to the core domain skills, which confirms the validity of the approach. [ABSTRACT FROM PUBLISHER]

This paper investigates the long-term outcomes of a general education course on digital technologies. Through conducting cross-sectional and longitudinal interviews with students, the authors found that non-engineering students who took this course had notable noncognitive, long-term outcomes. A primary focus of the work reported in this paper was the long-term outcome of self-efficacy. The authors also investigated the sources of self-efficacy for the students in the course. The primary sources of self-efficacy in the course were verbal persuasion and mastery experience. Faculty and teaching assistants were key sources for verbal persuasion. Some students exhibited a “success paradox”: They felt successful in the course even though they failed to meet their initial expectations. The authors also found that a mastery experience, such as working on a final project, can still feel successful when it is mediated by verbal persuasion. This paper can guide faculty in designing or adapting courses to promote student self-efficacy. [ABSTRACT FROM PUBLISHER]

The ability to anticipate the strategic actions of hackers, including where, when, and how they might attack, and their tactics for evading detection, is a valuable skill for cybersecurity. Therefore, developing the strategic reasoning abilities of cybersecurity students is an important cybersecurity education learning objective. This paper proposes that basic game theory concepts should be taught to cybersecurity students in order to improve their strategic reasoning abilities. It details a pretest–posttest educational experiment that demonstrates that 2 h of basic game theory instruction results in a statistically significant improvement in students’ abilities to anticipate the strategic actions of others. It also provides details of the game theory curriculum to help other cybersecurity educators replicate these results. Additionally, this paper suggests that another benefit of teaching game theory in a cybersecurity course is that it may fundamentally alter the way students view the practice of cybersecurity, helping to sensitize them to the human adversary element inherent in cybersecurity in addition to technology-focused best practices. This could result in a more naturally strategic-minded, and therefore better equipped, cybersecurity workforce. [ABSTRACT FROM PUBLISHER]

Contribution: This paper employs the automatic scoring of short essays as a novel way to determine pre-service teachers’ knowledge of and attitudes toward computational thinking (CT) from their written reflections. Implications about designing CT courses for pre-service teachers are discussed. Background: CT is an essential 21st-century competency that supports the development of problem-solving skills. Inspired by computing science problem-solving practices, CT should transcend disciplines, but few universities or colleges include CT courses or CT content in their core courses. It is also difficult to know what pre-service teachers think about CT and their role in promoting it. Research Questions: Do pre-service teachers’ coding reflections reveal any important information about their knowledge of, skills in, and attitudes toward CT? Methodology: Traditional qualitative techniques based on human raters are impractical in analyzing hundreds of essays. Topic modeling, an unsupervised machine learning modeling technique, was employed to extract topical features from participants’ reflections. In one section of an undergraduate Introduction to Educational Technology course offered at a large university in Western Canada, n = 139 pre-service teachers wrote a short reflection on their experience following a 20 h Accelerated Intro to Computer Science Code.org course. Topics were identified by analyzing contextual trends in participants’ written reflections. Findings: Results showed that pre-service teachers’ reflections included CT concepts, practices, and perspectives. Specifically, participants connected the coding activity to prior knowledge and experiences. [ABSTRACT FROM AUTHOR]

This paper describes a study of teaching a programming language in a C programming course by having students assemble and program a low-cost mobile robot. Writing their own programs to define the robot’s behavior raised students’ motivation. Working in small groups, students programmed the robots by using the control structures of structured programming. Over the course, there was a significant improvement in students’ academic performance and motivation. The approach took into account four of the motivational factors that feature in the ARCS model: 1) attention; 2) relevance; 3) confidence; and 4) satisfaction. The main achievements of the approach were to be able to: 1) catch and hold students’ attention throughout the course; 2) increase students’ confidence in the learning process; 3) achieve a high student satisfaction level with their acquired skills; and 4) demonstrate to students the practical usefulness of the knowledge they had learned. This paper also determines the extent to which this strategy was effective in meeting the teaching goals. [ABSTRACT FROM PUBLISHER]

Remote laboratories give students the opportunity of experimenting in STEM by using the Internet to control and measure an experimental setting. Remote laboratories are increasingly used in the classroom to complement, or substitute for, hands-on laboratories, so it is important to know its learning value. While many authors approach this question through qualitative analyses, this paper reports a replicated quantitative study that evaluates the teaching performance of one of these resources, the virtual instrument systems in reality (VISIR) remote laboratory. VISIR, described here, is the most popular remote laboratory for basic analog electronics. This paper hypothesizes that use of a remote laboratory has a positive effect on students’ learning process. This report analyzes the effect of the use of VISIR in five different groups of students from two different academic years (2013–2014 and 2014–2015), with three teachers and at two educational levels. The empirical experience focuses on Ohm’s Law. The results obtained are reported using a pretest and post-test design. The tests were carefully designed and analyzed, and their reliability and validity were assessed. The analysis of knowledge test question results shows that the post-test scores are higher that the pretest. The difference is significant according to Wilcoxon test ( p <0.001 ), and produces a Cohen effect size of 1.0. The VISIR remote laboratory’s positive effect on students’ learning processes indicates that remote laboratories can produce a positive effect in students’ learning if an appropriate activity is used. [ABSTRACT FROM PUBLISHER]

The increasing complexity of the new breed of distributed intelligent systems, such as the Internet of Things, which require a diversity of languages and protocols, can only be tamed with design and programming best practices. Interest is also growing for including the human factor, as advocated by the ambient intelligence (AmI) research field, whose focus is on transparently and intelligently supporting people. These new design methodologies are increasingly needed in the toolbox of new electronic and computer engineers, and teaching strategies should be devised that allow students to acquire a systems-level view instead of getting lost in technology-oriented approaches. This paper describes a study carried out over two academic years, in a course in AmI at Politecnico di Torino, Italy. In the course, a project-based learning approach was adopted, in which students design and prototype an AmI system, and their progress is closely monitored throughout the semester. This paper presents the learning goals and teaching strategies, analyzes the learning outcomes from the qualitative and quantitative points of view, and highlights the lessons learned in the process. [ABSTRACT FROM PUBLISHER]

Recursion is one of the most difficult programming topics for students. In this paper, an instructional method is proposed to enhance students' understanding of recursion tracing. The proposal is based on the use of rules to translate linear recursion algorithms into equivalent, iterative ones. The paper has two main contributions: the instructional method itself, and its evaluation, which is based on previous works of other authors on mental models of recursion. As a result, an enhancement was measured in the viability of mental models exhibited by students (both for linear and multiple recursion), but no significant improvement was detected in their skills for designing recursive algorithms. Evidence was also obtained of the fact that many students with (relatively) viable mental models for linear recursion have unviable mental models for multiple recursion. Finally, it was noticed that many students adopt inaccurate mental models if those models are adequate to handle the given algorithm. [ABSTRACT FROM PUBLISHER]

Contribution: This paper identifies key personal and academic factors in successful transfer to electrical, computer, and mechatronics (ECM) engineering programs. The findings support prior research on engineering transfer shows that successful students accumulate knowledge and behaviors in their sending institution that enable their progress in the receiving institution. Background: Institutional arrangements and processes, inclusive cultures and practices, social integration, and clear academic requirements support the transfer of students who go from two-year colleges and similar to follow engineering programs at four-year institutions. Various personal attributes are also associated with successful transfer. Research Question: What factors enable transferees to succeed in four-year ECM engineering degree programs? Methodology: Student data were obtained from the receiving institution’s registration database and grades administration system. Database queries were used to identify transfer and non-transfer students’ performance. Averages and frequencies of passes, fails, repeats, withdrawals, etc., were calculated and compared. There were limited data on students’ personal challenges and non-academic strengths. Findings: All the students who attained Bachelor of Science degrees in ECM showed persistence and resilience in their journeys toward an engineering qualification, and had achieved high grades in mathematics at the sending institution. [ABSTRACT FROM AUTHOR]

Contribution: This paper adds to existing literature on teaching basic concepts of electricity using computer-based instruction; findings suggest that students can develop an accurate understanding of electric circuits when they generate multiple and complementary representations that build toward computational models. Background: Several studies have explored the efficacy of computer-based, multi-representational teaching of electric circuits for novice learners. Existing research has found that instructional use of computational models that move from abstract to concrete representations can foster students’ comprehension of electric circuit concepts, but other features of effective instruction using computational models need further investigation. Research Questions: 1) Is there a correlation between students’ representational fluency and their ability to reason qualitatively on electric circuits? and 2) Is the quality of student-generated computational representations correlated to their conceptual understanding of electric circuits? Methodology: The study comprised two cases in which 51 sophomore-engineering students completed a voluntary assignment designed to assess their representational fluency and conceptual understanding of electric circuits. Qualitative insights from the first case informed the design of a scoring rubric that served as both the assessment and the data collection instrument. Findings: The results suggest that a multi-representational approach aimed at the construction of computational models can foster conceptual understanding of electric circuits. The number and quality of students’ representations showed a positive correlation with their conceptual understanding. In particular, the quality of the computational representations was found to be highly, and significantly, correlated with the correctness of students’ answers to qualitative reasoning questions. [ABSTRACT FROM AUTHOR]

Contribution: This paper shows how significantly computer science instructors can disagree when grading code writing questions in introductory computer science (CS1) exams. Certain solutions are considered “very good” by some instructors and “very bad” by others. The study identifies four factors as possible contributors to such differences between graders: 1) disagreement on the role of syntax in CS1; 2) absence of objective measures for the seriousness of logic errors; 3) variance in how rubrics are constructed; and 4) the use of subjective judgement while grading. Background: Code writing questions are widely used in CS1 exams. Understanding differences in how graders approach such questions can help the CS education community become more informed about how to design valid assessments for summative and formative purposes. Research Questions: Do graders differ significantly in how they score student programs? What are the main factors to which differences between graders could be attributed? Methodology: A number of CS1 instructors and TAs were asked to score pieces of code resembling student solutions to CS1 exam questions, and were asked to answer open ended questions on how they approach grading in CS1 exams. Responses were then analyzed qualitatively and quantitatively. Findings: There is no consensus on how code writing questions in CS1 exams should be graded. Differences in opinion on how many points to award can be very significant, even for very simple programs and between graders in the same institution. Some graders assign grades that do not necessarily agree with how many points they believe the student solution is worth. [ABSTRACT FROM AUTHOR]

This paper presents several methods for motivating students taking a power system protection (PSP) course. The paper reviews the laboratory activities developed for the PSP course at Curtin University, Australia; these methods are applicable and can be used for PSP course instruction at any institution. These activities were developed to improve the learning experience of the electrical engineering undergraduate and postgraduate students enrolled in this course. Initially, the PSP course at Curtin University consisted of lectures and tutorials accompanied by two sessions of software-based simulations and one session of laboratory demonstration. To motivate the students, several computer-based simulations and practical laboratory experiments were developed. PSCAD and ETAP power system analysis software tools are introduced and used to demonstrate the performance and coordination of different protection relays from steady-state and dynamic points of view. Also, a practical setup composed of a LabVolt power system simulator and industrial relays is used to carry out several practical experiments. The experiments help students observe the performance of protection systems for transformers and induction motors during faults and abnormal operating conditions. Finally, the concept of relay testing and commissioning is introduced by relay standalone experiments using a secondary injection relay test set. The results of these activities were evaluated according to the students’ satisfaction, comments, total scores, and interest in PSP. [ABSTRACT FROM PUBLISHER]

Power electronics is a fast-developing technology within the electrical engineering field. This paper presents the results and experiences gained from applying design-oriented project-based learning to switch-mode power supply design in a power electronics course at the Technical University of Denmark (DTU). Project-based learning (PBL) is known to be a motivating problem-centered teaching method that not only places students at the core of teaching and learning activities but also gives them the ability to transfer their acquired scientific knowledge into industrial practice. Students choose a specification to implement from various power converter application projects, such as a fuel cell power conditioning converter, a light-emitting diode (LED) driver or a battery charger. The students select the topology, design magnetic components, calculate input/output filters and design closed-loop controllers necessary to fulfill the requirements listed in the chosen specification and thus meet the project's goals. This paper presents the course teaching plan and teaching methods, assessment method and student feedback. [ABSTRACT FROM PUBLISHER]

One of the more interesting approaches to teaching advanced logic concepts is the use of online laboratory frameworks to provide student access to remote field-programmable devices. There is as yet, however, no conclusive evidence of the effectiveness of such an approach. This paper presents the Advanced Digital Lab, a remote laboratory based on the batched MIT iLab Architecture. With a hardware system under test designed around an Altera EP2C20F484 field-programmable gate array (FPGA), the lab makes it possible for students to implement finite-state machines on a field-programmable device using VHDL. A study was carried out to evaluate the lab. Study results indicated that the Advanced Digital Lab is an effective pedagogical tool. Some observations drawn from the results of the study are also discussed; these may have far-reaching implications for the argument about the effectiveness of the general class of remote laboratories. An important contribution of this paper is that it provides a template for the proper evaluation of remote laboratories along multiple dimensions, particularly those of pedagogy, logistics, and cost. [ABSTRACT FROM PUBLISHER]

This paper proposes lab work for learning fault detection and diagnosis (FDD) in mechatronic systems. These skills are important for engineering education because FDD is a key capability of competitive processes and products. The intended outcome of the lab work is that students become aware of the importance of faulty conditions and learn to design FDD strategies for a real system. To this end, the paper proposes a lab project where students are requested to develop a discrete event dynamic system (DEDS) diagnosis to cope with two faulty conditions in an autonomous mobile robot task. A sample solution is discussed for LEGO Mindstorms NXT robots with LabVIEW. This innovative practice is relevant to higher education engineering courses related to mechatronics, robotics, or DEDS. Results are also given of the application of this strategy as part of a postgraduate course on fault-tolerant mechatronic systems. [ABSTRACT FROM AUTHOR]

Contribution: This paper brings forward a paradigm shift in microelectronic and nanoelectronic engineering education. Background: An increasing number of universities are offering graduate-level electrical engineering degree programs with multi-disciplinary Master’s-level specialization in microelectronics or nanoelectronics. The paradigm shift from electrical engineering to microelectronics graduate education has been slow, but the technology has now advanced to the point where industry is relying on cyber-physical connectivity, thus providing an opportunity for engineering education to utilize this capability. Research Questions: How are methods deployed when teaching traditional electrical engineering degrees still applicable in microelectronics education, and how are globally ranked institution shifting their online teaching and learning pedagogies for this? Methodology: A survey is presented of current trends in Master’s degree programs in microelectronics and related fields, and in electrical engineering degree programs with specialization in microelectronics. The review reveals how Quacquarelli Symonds’ top-ranked world universities, and other global universities with established micro- and nanoelectronic degrees, are selecting modules for their curricula and curricula content in attempts to attract and develop engineering students to this specialized field. Findings: The current global trend toward microelectronic education is following a part-coursework, part-dissertation Master’s degree model, consisting of several core modules, several electives, a research proposal writing module and a mini-dissertation. Furthermore, following industrial trends, there is a clear shift toward the “fabless” or cyber-physical approach and outsourced manufacturing, with technology-led teaching mediating the possibility of completing both theoretical and laboratory components using online resources and interactivity. [ABSTRACT FROM AUTHOR]

Contribution: An approach is presented to provide contextualized feedback for students using a project management (PM) tool. This approach covers the ten PM knowledge areas, guiding students through the planning of software projects. Background: Because software PM is unfeasible without the support of a PM tool there is a growing demand that these tools be taught in the higher education computer courses. Hence, several approaches already have been proposed to improve this teaching, such as educational PM tools or simulators, which facilitate the application of specific PM techniques and the treatment of their results. Another approach to improve the teaching of PM tools is instructional feedback, but little information is as yet available on how to provide instructional feedback when teaching software PM. Intended Outcomes: Instructional feedback, essential to helping students to learn, is based on an evaluation of their actions and decisions. To take advantage of this instructional approach, this paper proposes an instructional feedback technique to be employed in an instructional unit (IU) teaching PM tools aligned with the project management body of knowledge. Application Design: This technique was evaluated through an experiment carried out in undergraduate computer courses. Control and experiential groups were exposed to the same IU, with only the experiential group using the instructional feedback technique. Findings: The proposed feedback technique contributes to student learning, meeting students’ need for better explanations to acquire a comprehensive understanding of PM theory and its practice. [ABSTRACT FROM AUTHOR]

This paper presents a robot prototype for an undergraduate laboratory program designed to fulfill the criteria laid out by ABET. The main objective of the program is for students to learn some basic concepts of embedded systems and robotics, and apply them in practice. For that purpose, various practical laboratory exercises were prepared to teach different aspects of communications, control, mechatronics, and microcontrollers. The practicals are organized such that the students can systematically solve real-world problems. The most important feature of the presented program is that, it incorporates interdisciplinary knowledge, and inculcates technical and professional skills required in pursuing a successful career. Furthermore, students and instructors can modify the software and hardware units of the robot prototype as necessary, to explore more ideas and to apply the robot in other mechatronics-related courses. A digital electronics course taught at the Automation Department at Universidad Autónoma de Querétaro, Querétaro, Mexico, is presented as a case study in which the evaluation process was based on ABET criteria and the corresponding student outcomes. A student survey elicited students’ observations of, and interest in, the learning process. The positive student feedback and student academic outcomes indicate that the inclusion of prototype had a significant impact on student academic outcomes. [ABSTRACT FROM AUTHOR]

This paper presents and analyzes results of two Delphi processes that polled cybersecurity experts to rate cybersecurity topics based on importance, difficulty, and timelessness. These ratings can be used to identify core concepts–cross-cutting ideas that connect knowledge in the discipline. The first Delphi process identified core concepts that should be learned in any first course on cybersecurity. The second identified core concepts that any cybersecurity professional should know upon graduating from college. Despite the rapidly growing demand for cybersecurity professionals, it is not clear what defines foundational cybersecurity knowledge. Initial data from the Delphi processes lay a foundation for defining the core concepts of the field and, consequently, provide a common starting point to accelerate the development of rigorous cybersecurity education practices. These results provide a foundation for developing evidence-based educational cybersecurity assessment tools that will identify and measure effective methods for teaching cybersecurity. The Delphi results can also be used to inform the development of curricula, learning exercises, and other educational materials and policies. [ABSTRACT FROM AUTHOR]

Course objectives, like research objectives and product requirements, help provide clarity and direction for faculty and students. Unfortunately, course and laboratory objectives are not always clearly stated. Without a clear set of objectives, it can be hard to design a learning experience and determine whether students are achieving the intended outcomes of the course or laboratory. In this paper, a common set of laboratory objectives, concepts, and components of a laboratory apparatus for undergraduate control systems laboratories were identified. A panel of 40 control systems faculty members completed a multi-round Delphi survey to bring them toward consensus on the common aspects of their laboratories. These panelists identified 15 laboratory objectives, 26 concepts, and 15 components common to their laboratories. Then an 45 additional faculty members and practitioners completed a follow-up survey to gather feedback on the results. In both surveys, each participant rated the importance of each item. While average ratings differed slightly between the two groups, the order in which the items were ranked was similar. Important examples of common learning objectives include connecting theory to what is implemented in the laboratory, designing controllers, and modeling systems. The most common component in both groups was MathWorks software. Some of the common concepts include block diagrams, stability, and PID control. Defining common aspects of undergraduate control systems laboratories enables common development, detailed comparisons, and simplified adaptation of equipment and experiments between campuses and programs. [ABSTRACT FROM AUTHOR]

This paper presents a MATLAB-based application to teach the guidance, navigation, and control concepts of a quadrotor to undergraduate students, using a graphical user interface (GUI) and 3-D animations. The Simulink quadrotor model is controlled by a proportional integral derivative controller and a linear quadratic regulator controller. The GUI layout’s many components can be easily programmed to perform various experiments by considering the simulation of the quadrotor as a plant; it incorporates control systems (CS) fundamentals such as time domain response, transfer function and state-space form, pole-zero location, root locus, frequency domain response, steady-state error, position and disturbance response, controller design and tuning, unity, and the use of a Kalman filter as a feedback sensor. 3-D animations are used to display the quadrotor flying in any given condition selected by the user. For each simulation, users can view the output response in the form of 3-D animations, and can run time plots. The quadrotor educational tool (QET) helps students in the CS laboratory understand basic CS concepts. The QET was evaluated based on student feedback, grades, satisfaction, and interest in CS. [ABSTRACT FROM AUTHOR]

This paper examines the question of how to use project-based learning to increase student performance and satisfaction in a power electronics course addressing the topics of dc/dc and dc/ac converters, the assembly of a dc/dc converter, and the use of a commercial speed drive. A detailed presentation of the methodology is shown, and the results are analyzed by comparison to previous academic years and by satisfaction surveys. The new course design applies the jigsaw cooperative learning strategy to have students learn the theory of converters, solve problems, and perform simulations, before carrying out projects that solve real-world problems, such as the power converter for a competition solar vehicle (2014/15 course) and power converters for an air conditioner with inverter technology (2015/16 course). Rubrics were used to evaluate the students’ work reports and the simulations. The project deliverables are presented and assessed in two design reviews, the first version covering the design and an open loop simulation, and the second covering the closed loop simulation and verification of specifications. [ABSTRACT FROM PUBLISHER]

This paper presents a comparison of online to traditional face-to-face delivery of undergraduate digital systems material. Two specific components of digital content were compared and evaluated: a sophomore logic circuits course with no laboratory, and a microprocessor laboratory component of a junior-level computer systems course. For each of these, a baseline level of student understanding was evaluated when they were being taught using traditional, face-to-face delivery. The course and lab component were then converted to being fully online, and the level of student understanding was again measured. In both cases, the same purpose-developed assessment tools were used to carry out the measurement of understanding. This paper presents the details of how the course components were converted to online delivery, including a discussion of the technology used to accomplish remote access of the electronic test equipment used in the laboratory. A comparison is then presented between the control and the experimental groups, including a statistical analysis of whether the delivery approach impacted student learning. Finally, student satisfaction is discussed, and instructor observations are given for the successful remote delivery of this type of class and laboratory. [ABSTRACT FROM PUBLISHER]

The input/output (I/O) subsystem is an important topic within computer architecture (CA) because it determines how the computer interacts with its environment. For this reason, computer scientists and engineers must understand how the computer manages this interaction, which is usually taught in introductory CA courses. Of course, there are many different styles of teaching, ranging from purely theoretical to completely practical. The CA course considered in this paper has already applied a practical approach for some time. For the I/O subsystem, students must be able to describe what polling and interrupts are and handle them through low-level programming. However, programming at this level in operating system (OS)-driven computers is not possible without being familiar with the kernel and drivers, which is not usually the case for students in an introductory course. Fortunately, there are many bare and specialized embedded systems around that are not OS-driven. In this proposal, the Nintendo DS (NDS) console was used in a classroom setting. It proved to be an appropriate infrastructure for developing attractive and engaging projects and was useful in providing a better understanding of the mechanisms related to the I/O subsystem. At the same time, the teaching methods were altered to make the transition from classical, passive, lecture-based classes to an active project-based learning (PBL) approach. It has been a very rewarding experience to see students learning to control the NDS devices on their own. In addition to describing the implementation of the proposed changes in two subsequent school years, this paper also presents some data and conclusions. [ABSTRACT FROM AUTHOR]

This paper presents the development, structure, implementation, and some applications of a remote laboratory for teaching automatic control concepts to engineering students. There are two applications: formation control of mobile robots and a ball-plate system. In teaching control engineering, there are two main approaches to control design: model-based control and non-model-based control. Students are given insight into: 1) for model-based control: identification of real processes (i.e., dealing with noise, choosing the sampling time, observing nonlinear effects at startup, pairing input–output variables); and 2) for non-model-based control: the advantages and disadvantages of auto-tuning techniques. The paper concludes by presenting an evaluation of these remote labs and discussing the advantages of using them as complementary tools for teaching control engineering at the Bachelor's and Master's level. [ABSTRACT FROM AUTHOR]

This paper presents a graduate course project on computer vision. The aim of the project is to detect and recognize traffic signs in video sequences recorded by an on-board vehicle camera. This is a demanding problem, given that traffic sign recognition is one of the most challenging problems for driving assistance systems. Equally, it is motivating for the students given that it is a real-life problem. Furthermore, it gives them the opportunity to appreciate the difficulty of real-world vision problems and to assess the extent to which this problem can be solved by modern computer vision and pattern classification techniques taught in the classroom. The learning objectives of the course are introduced, as are the constraints imposed on its design, such as the diversity of students' background and the amount of time they and their instructors dedicate to the course. The paper also describes the course contents, schedule, and how the project-based learning approach is applied. The outcomes of the course are discussed, including both the students' marks and their personal feedback. [ABSTRACT FROM AUTHOR]

As a result of their involvement in several research and development and innovation (R&D&I) projects developed in various companies, the authors acquired knowledge of two basic concepts: quality and innovation. The application of these concepts in the teaching–learning process can help teachers to incorporate informal changes in the curriculum to provide for continuous improvement. This paper presents a simple methodology to apply quality and innovation concepts and tools in the daily teaching activity. In order to show the ease of use, as well as the efficiency and effectiveness of this methodology, the experience of applying it in an engineering course over nine years, the actions undertaken, the results obtained, and the lessons learned are described here. The methodology incorporates reflection, innovation, and decision taking based on objective data. Contact with the companies involved has enabled the teachers to learn continuously and to enhance their motivation when working with students. The methodology applied and the example described in this paper can be a starting point for other teachers interested in improving the quality of their teaching. [ABSTRACT FROM AUTHOR]

This paper proposes a scaffolded concept mapping strategy, which considers a student's (high or low) prior knowledge, and provides flexible learning aids (scaffolding and fading) for reading and drawing a concept map. The goal is that the whole class should progress in synchronized fashion through this strategy, with each student achieving meaningful learning. The scaffolding is tailored to the student's needs, with various levels of support. The increasing demand for scaffolding, and its constant evolution, means that software aids are needed. The authors adopted a systematic instructional design, with associated software, to create a learning environment that supports the execution of the strategy. The paper also investigates whether this strategy improved student learning for 54 undergraduates in a database management system course. The results indicate that the students who used the strategy had better learning achievements than those who only experienced traditional lectures. Moreover, the implementation of the strategy received positive student feedback. [ABSTRACT FROM AUTHOR]

The design of any robotic system requires input from engineers from a variety of technical fields. This paper describes a project-based module, Biologically-Inspired Robotics, that is offered to Electronics and Computer Science students at the University of Southampton, U.K. The overall objective of the module is for student groups to investigate the interface between robotics and biology and develop a system (either hardware or software) to illustrate biological principles. This paper discusses the details of the implementation and delivery of the module, together with evaluation feedback. A number of the robotic systems developed by project groups are presented in order to illustrate the diversity and quality of the systems that have been developed. [ABSTRACT FROM PUBLISHER]

This paper describes the integration of robotics education into an undergraduate Computer Science curriculum. The proposed approach delivers mobile robotics as well as covering the closely related field of Computer Vision and is directly linked to the research conducted at the authors' institution. The paper describes the most relevant details of the module content and assessment strategy, paying particular attention to the practical sessions using Rovio mobile robots. The specific choices are discussed that were made with regard to the mobile platform, software libraries, and lab environment. The paper also presents a detailed qualitative and quantitative analysis of student results, including the correlation between student engagement and performance, and discusses the outcomes of this experience. [ABSTRACT FROM PUBLISHER]

In the past, computer programming was perceived as a task only carried out by computer scientists; in the 21st century, however, computer programming is viewed as a critical and necessary skill that everyone should learn. In order to improve teaching of problem-solving abilities in a computing environment, extensive research is being done on teaching–learning methods, types of teaching software, the educational environment, and related tools. This paper, based on diverse experimental results, proposes an environment where elementary students can easily learn and practice computer programming. The proposed robot game environment used a tangible programming tool with which students can easily create robot programs, without learning syntax, and then validate their programming results; it can also provide various game activities to incite students’ interest. Observation of elementary school students placed in the robot game environment confirmed the tool’s usability and entertainment aspects, and students’ attitudes toward programming and their understanding of programming concepts improved. [ABSTRACT FROM PUBLISHER]

This paper discusses the results of a feedback study for a remote laboratory used in the education of control engineering students. The goal is to show the effectiveness of the remote laboratory on examination results. To provide an overview, the two applications of the remote laboratory are addressed: 1) the Stewart platform, and 2) the quadruple water tank system. Combining both applications allows a broad spectrum of practical examples featuring challenging control aspects such as multiple-input–multiple-output control, decoupling, non-minimum phase systems, open-loop unstable systems, and PID control design. The remote laboratory feedback study was performed using a five-point Likert-type scale survey to elicit the students’ level of satisfaction with the laboratory. Three years of student examination results were also studied to compare performance before and after integrating the remote laboratory. In the first of these years there was no use of the remote laboratory. In the second year, the remote laboratory was introduced on a voluntary basis, and in the third year the remote laboratory was obligatory. Student feedback indicates that the remote laboratory needs further development to counter its limitations. A major conclusion of the survey was that there is keen interest in the remote laboratory to provide practical experience in the training of a control engineer. It can be concluded that the remote laboratory has a positive effect on student examination results. [ABSTRACT FROM PUBLISHER]

The problem-based learning (PBL) approach has been successfully applied to teaching software engineering thanks to its principles of group work, learning by solving real problems, and learning environments that match the market realities. However, the lack of well-defined methodologies and processes for implementing the PBL approach represents a major challenge. The approach requires great flexibility and dynamism from all involved, whether in mapping content, in teacher performance, or laying out the process of how learners should go about solving problems. This paper suggests that management processes can help in implementing PBL throughout its life cycle (planning, implementation, monitoring, and enhancement), and proposes an assessment model called PBL-SEE for use in software engineering education (SEE). Two examples of its use are provided. The results show how the model can be applied and how the resulting information can be used to make the PBL initiatives “authentic,” in that they bring the reality of the labor market to the learning environment, while keeping to PBL principles. [ABSTRACT FROM PUBLISHER]

The two projects presented in this paper can be used either as two separate assignments in two different semesters or as a final assignment for undergraduate students of electrical engineering. They have two main objectives: first, to teach basic electronic circuit design concepts and, second, to motivate the students to learn more about analog circuit design. The two projects are: 1) the design of an audio power amplifier, and 2) the design of an amplitude-modulated optical link with a pulsed light-emitting diode (LED) at the emitter and a photodiode and a transimpedance amplifier at the receiver. An audio signal is used to modulate the oscillator that drives the LED, and the receiver demodulates this signal to produce an audio signal (music, for example) that can be sent to a loudspeaker. The intent of this optical communication system was to allow students to design and build various electronic circuits that have an overall objective and a clear practical application. Students are motivated by using this system to transmit, receive, and listen to their own music. [ABSTRACT FROM PUBLISHER]

The ideal of self-paced learning, which was introduced nearly 50 years ago by Keller in his Personalized System of Instruction (PSI), has not yet been widely adopted. In spite of its perceived promise of helping students to learn at the speed aligned to their individual backgrounds, motivation, and skills, PSI has been challenging to implement. University teaching practice with weekly plans means that instructors expect students to learn at the same pace. Against this backdrop, this paper reports experiences from deploying PSI in multiple offerings of an introductory programming course at a Scandinavian university over five years. These include variations, such as a buddy system, rightsizing modules, encouraging pacing, alternative targets, intermediate milestones, active coaching, and time management, all primarily aimed at overcoming a key concern associated with PSI, namely, procrastination. The lessons associated with each are described with a view to providing fellow instructors with strategies and options that they can consider for implementing PSI into introductory programming courses. [ABSTRACT FROM PUBLISHER]

Experimentation is important for learning and research in the field of power electronics and drives. However, a great deal of equipment is required to study the various topologies, controllers, and functionalities. Thus, the cost of establishing good laboratories and research centers is high. To address this problem, the authors have developed a “Power Electronics and Drives Experimental Bench” (PEDEB), whose details are given in this paper. This unique kit includes reconfigurable hardware modules, which can be interconnected to achieve more than 14 different circuit topologies. Moreover, the software (controller) is accessible to users, thereby facilitating quick verification and testing of new ideas. A 2-kVA prototype of the PEDEB was developed and tested for various possible modes of operation. The kit is being used for a first-semester post-graduate laboratory course on “Power Electronics and Drives.” This paper includes observations and learning from experiments on dc-dc buck converter, an induction motor drive, and a grid feeding inverter conducted using the PEDEB. [ABSTRACT FROM AUTHOR]

The topics of computer architecture are always taught using an Assembly dialect as an example. The most commonly used textbooks in this field use the MIPS64 Instruction Set Architecture (ISA) to help students in learning the fundamentals of computer architecture because of its orthogonality and its suitability for real-world applications. This paper shows how to use the EduMIPS64 visual CPU Simulator as a supporting tool for teaching the standard topics covered by an undergraduate course in computer architecture. The proposed approach is first compared to other similar works in the field, then after a short description of the simulator, the paper focuses on how it can be used for teaching specific topics in an undergraduate computer architecture course. This discussion is then followed by a quantitative assessment of the suitability of the simulator by means of a survey compiled by students themselves; the results show that EduMIPS64 is suitable for the purpose for which it was built—that is, supporting the learning process of computer architecture topics. [ABSTRACT FROM PUBLISHER]

This paper describes how the use of free and open-source software (FOSS) can facilitate the application of constructive alignment theory in power systems engineering education by enabling the deep learning approach in power system analysis courses. With this aim, this paper describes the authors' approach in using the Power System Analysis Toolbox (PSAT) for undergraduate and graduate education. Interviews with former students reveal the positive impact that the use of FOSS in general, and PSAT in particular, had on their learning and how it has influenced their professional life. [ABSTRACT FROM PUBLISHER]

Keeping up with novel methods and keeping abreast of new applications are crucial issues in engineering education. In brain research, one of the most significant research areas in recent decades, many developments have application in both modern engineering technology and education. New measurement methods in the observation of brain activity open a new frontier in engineering applications. Electroencephalogram (EEG)-based brain activity observation processes are very promising and have been used in several engineering studies, primarily for the implementation of control tasks. This paper presents the development, implementation, and assessment of an EEG-based engineering education project, in which engineering students applied the theory they had learned and improved their knowledge and skills in the area of observation and evaluation of electrical signals generated by brain activity and measured by biosensors. The main project goal was to develop and test a brain–computer interface that is able to measure the average attention level. The effectiveness of this project-based learning was evaluated by student questionnaire responses and analysis of students' exam results; students who had participated in the project were shown to have higher levels of acquired knowledge. [ABSTRACT FROM AUTHOR]

This paper presents a case study analyzing the advantages and disadvantages of using project-based learning (PBL) combined with collaborative learning (CL) and industry best practices, integrated with information communication technologies, open-source software, and open-source hardware tools, in a specialized microcontroller and embedded systems engineering Master's course. In addition to addressing industry requirements in both contents and methodology, the course develops capabilities and competencies in problem solving, independent learning, teamwork, and technical knowledge. Since PBL methodology alone does not ensure teamwork, it was complemented with CL. Design review meetings (as described in IEC 61160), deliverables, and organizational resources were also introduced to mirror industry demands. This structure integrated course content and student academic achievement in a simulated industrial environment. The course had students build a modular management system for home appliances, implementing control software on the “Arduino” open-source platform, as well as using wireless communications. The results show that teaching, learning, and student assessment processes can be improved by using PBL with CL. In addition, the introduction of industry practices, such us peer review meetings, brings academia closer to a real-world context. [ABSTRACT FROM AUTHOR]