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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 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]

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 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 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]

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]

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]

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 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]

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]

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]

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]

This paper proposes a collaborative approach to enhancing the student learning experience based on Web 2.0 principles. Specifically, wiki Web sites are used by students for collaboration and for publication of course assignments, which are then shared with the class. Web 2.0 principles include: the Web as platform, harnessing collective intelligence, data are the next Intel Inside, and rich user experiences. Based on a case study in a junior-level undergraduate class, this paper studies a set of six factors with comprehensive grading and evaluation criteria that are critical to make this approach successful. The six factors are knowledge base, motivation, research, social aspects, presentation, and feedback and support. The data collected show that most of the students who participated feel that this approach is exciting and rewarding, and that even some undergraduate students are able to produce original and innovative concepts. The data also show other interesting phenomena with respect to motivation, undergraduate research, and social aspects. Finally, the paper proposes a methodology of conducting a wiki project in a university class using a cyclic constant improvement process. [ABSTRACT FROM AUTHOR]

This paper describes an efficient method of teaching impulse voltage testing of power transformers to undergraduate students of power system groups in electrical engineering departments, as a part of a high-voltage course for senior undergraduate students. The paper shows how to simulate the power transformer and impulse generator to teach students the basics of impulse voltage testing of power transformers and to practice analyzing the test results. In the first part of the paper, the effect of wave shaping of the voltage waveform is simulated to teach the behavior of the impulse generator, and in the second part, impulse voltage testing of a transformer is simulated. Evaluation of the simulation over several semesters with more than 80 students is very positive in terms of their developing confidence in an understanding of this test. [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 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]

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]

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]

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]

Teaching in university engineering departments is currently facing a number of challenges, especially for those involved in the most innovative and dynamic areas of information and communication technology. Learning model developments that place greater weight on laboratory activities require investment in specific equipment that is often very expensive, difficult to manage, and soon obsolete. This paper describes a virtual laboratory education platform, QoSLab, for training in and research into quality-of-service (QoS) mechanisms used for Metro Ethernet access in next-generation networks (NGNs). QoSLab integrates three experiments and 21 tasks with a pedagogical model to help students achieve learning goals; it also promoting student teamwork, iteration with lecturers, and autonomy. QoSLab was developed using OMNeT++, an open-source framework environment that allows students to run the code on their personal computers. Evaluations have shown that since 2013, QoSLab has produced a significant increase in student grades on NGN-related topics, as well as good results in student satisfaction surveys. [ABSTRACT FROM PUBLISHER]

The issue of plagiarism is discussed in the context of university education in disciplines related to computing. The focus is therefore mainly on software plagiarism. First, however, a case is made for the claim that the most important reason that plagiarism cannot be tolerated lies in the essence of the concept of a university as it is rooted in the Western cultural tradition. The main contribution of this paper is in providing firsthand insight into students' views on some of the delicate questions related to student plagiarism. However, this paper presents views from both sides of the question, including the views of staff members. This paper is quite unique in that it is coauthored by students who provide independent comments and recommendations. [ABSTRACT FROM PUBLISHER]

Augmented reality (AR) provides huge opportunities for online teaching in science and engineering, as these disciplines place emphasis on practical training and unsuited to completely nonclassroom training. This paper proposes a new concept in virtual and remote laboratories: the augmented remote laboratory (ARL). ARL is being tested in the first and second years of the new degrees in industrial engineering and computer engineering, respectively, at the School of Engineering, University of Huelva, Huelva, Spain. By means of augmented reality techniques, ARL allows the student to experience sensations and explore learning experiences that, in some cases, may exceed those offered by traditional laboratory classes. The effectiveness of this methodology for remote laboratory work is evaluated by comparing it to practical sessions in the laboratory at the university itself with the same group of students. Students completed a questionnaire after having experienced both types of practicals, and the results show that the use of ARL improves student outcomes. As discussed in the paper, the potential of AR to configure different experiments from the same physical configuration is virtually limitless. [ABSTRACT FROM AUTHOR]

This paper argues the case for emulation-based virtual laboratories in control engineering education. It demonstrates that such emulation experiments can give students an industrially relevant educational experience at relatively low cost. The paper also describes a particular emulation-based system that has been developed with the aim of giving students an introduction to real-world control engineering design. [ABSTRACT FROM AUTHOR]

This paper describes a four-year longitudinal study of the extent of nonoriginal material in final-year undergraduate computing projects. This was done in conjunction with the estab- lishment of a proactive departmental policy on academic integrity which emphasized education and prevention as well as detection and penalty. The intention of the project was to attempt to reduce the amount of nonattributed nonoriginal (plagiarized) content in the projects. The amount of nonoriginal material contained in each of approximately 900 projects over all four years was automatically measured and subsequently investigated and evaluated. Despite problems caused by the continual development of the mea- surement tools during the project, the conclusion can be drawn that the amount of nonoriginal material has declined and that which remains is being used with greater integrity. [ABSTRACT FROM AUTHOR]

This paper describes a computer-supported collaborative learning (CSCL) case study in engineering education carried out within the context of a network management course. The case study shows that the use of two computing tools developed by the authors and based on free- and open-source software (FOSS) provide significant educational benefits over traditional engineering pedagogical approaches in terms of both concepts and engineering competencies acquisition. The Collage authoring tool guides and supports the course teacher in the process of authoring computer-interpretable representations (using the IMS Learning Design standard notation) of effective collaborative pedagogical designs. Besides, the Gridcole system supports the enactment of that design by guiding the students throughout the prescribed sequence of learning activities. The paper introduces the goals and context of the case study, elaborates on how Collage and Gridcole were employed, describes the applied evaluation methodology, and discusses the most significant findings derived from the case study. [ABSTRACT FROM AUTHOR]

The article discusses various reports within the issue, including one by F. Culwin on a longitudinal study of nonoriginal content in final-year computing undergraduate projects and another one by R.H. McCuen on the role of pressure and rationalization on the plagiarism decision process.

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 a multidisciplinary problem-based learning (PBL) project consisting of the development of a robot arm prototype and the implementation of its control system. The project is carried out as part of Industrial Informatics (II), a compulsory third-year course in the Automation and Electronic Engineering (AEE) degree program at the School of Engineering at Universitat Politècnica de València, València, Spain. The robot arm is a low-cost prototype, initially controlled with a joystick. The aim of the project is, first, to design and implement a full control system for the robot, including the necessary circuitry for microcomputer (ARM Cortex)-based control and, second, to pit the designed robot in competition against other students' robots. Incorporation of multidisciplinary PBL required changes in the organization of the course, which features various learning activities and their continuous evaluation; it also required knowledge of five other courses in the AEE program. PBL methodology is compared to a traditional method; the results obtained proved highly satisfactory. Moreover, the PBL robotic experience was highly rated by some 900 students. [ABSTRACT FROM AUTHOR]

Hands-on experiments are essential for computer network security education. Existing laboratory solutions usually require significant effort to build, configure, and maintain and often do not support reconfigurability, flexibility, and scalability. This paper presents a cloud-based virtual laboratory education platform called V-Lab that provides a contained experimental environment for hands-on experiments using virtualization technologies (such as Xen or KVM Cloud Platform) and OpenFlow switches. The system can be securely accessed through OpenVPN, and students can remotely control the virtual machines (VMs) and perform the experimental tasks. The V-Lab platform also offers an interactive Web GUI for resource management and a social site for knowledge sharing and contribution. By using a flexible and configurable design, V-Lab integrates pedagogical models into curriculum design and provides a progressive learning path with a series of experiments for network security education. Since summer 2011, V-Lab has served more than 1000 students from six courses across over 20 experiments. The evaluation demonstrates that the platform and curriculum have produced excellent results and helped students understand and build up computer security knowledge to solve real-world problems. [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]