Showing papers in "IEEE Transactions on Education in 2016"

Teaching Power Electronics With a Design-Oriented, Project-Based Learning Method at the Technical University of Denmark

Abstract: 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.

Recommender System and Web 2.0 Tools to Enhance a Blended Learning Model

Abstract: Blended learning models that combine face-to-face and online learning are of great importance in modern higher education. However, their development should be in line with the recent changes in e-learning that emphasize a student-centered approach and use tools available on the Web to support the learning process. This paper presents research on implementing a contemporary blended learning model within the e-course “Hypermedia Supported Education”. The blended model developed combines a learning management system (LMS), a set of Web 2.0 tools and the E-Learning Activities Recommender System (ELARS) to enhance personalized online learning. As well as incorporating various technologies, the model combines a number of pedagogical approaches, focusing on collaborative and problem-based learning, to ensure the achievement of the course learning outcomes. The results of the comparative study show the effectiveness of the proposed model in that students who performed personalized collaborative e-learning activities achieved better course results. These findings encourage the further application of the model to other computer science courses.

Tracking Students’ Cognitive Processes During Program Debugging—An Eye-Movement Approach

Abstract: This study explores students' cognitive processes while debugging programs by using an eye tracker. Students' eye movements during debugging were recorded by an eye tracker to investigate whether and how high- and low-performance students act differently during debugging. Thirty-eight computer science undergraduates were asked to debug two C programs. The path of students' gaze while following program codes was subjected to sequential analysis to reveal significant sequences of areas examined. These significant gaze path sequences were then compared to those of students with different debugging performances. The results show that, when debugging, high-performance students traced programs in a more logical manner, whereas low-performance students tended to stick to a line-by-line sequence and were unable to quickly derive the program's higher-level logic. Low-performance students also often jumped directly to certain suspected statements to find bugs, without following the program's logic. They also often needed to trace back to prior statements to recall information, and spent more time on manual computation. Based on the research results, adaptive instructional strategies and materials can be developed for students of different performance levels, to improve associated cognitive activities during debugging, which can foster learning during debugging and programming.

A Large-Scale Blended and Flipped Class: Class Design and Investigation of Factors Influencing Students' Intention to Learn

Abstract: This paper reports a study of a large-scale blended and flipped class and has two major parts. First, it presents the design of the class, i.e., a coordinated and multisection undergraduate introduction-to-computer-information-systems course. The detailed design of various teaching methods used in the class is presented, including a digital textbook, video tutorials, several quizzes, allowing multiple attempts at those quizzes, self-paced online homework, Cornell Notes, and in-class activities. Second, it presents the research model developed to systematically examine the impact of various factors on students' intention to learn in the blended and flipped class. A survey was conducted and the data analyzed by structural equation modeling. The results showed that the teaching method used and students' motivation and computer self-efficacy could significantly influence their intention to learn in this new learning environment. However, instructor characteristics were found to have no significant impact on intention to learn. Students' written comments on the helpfulness of different teaching methods adopted in the class were also collected and are discussed here.

Multi-Role Project (MRP): A New Project-Based Learning Method for STEM

Abstract: This paper presents the “Multi-Role Project” method (MRP), a broadly applicable project-based learning method, and describes its implementation and evaluation in the context of a Science, Technology, Engineering, and Mathematics (STEM) course. The MRP method is designed around a meta-principle that considers the project learning activity as a role-playing game based on two projects: a learning project and an engineering project. The meta-principle is complemented by five principles that provide a framework to guide the working practices of student teams: distribution of responsibilities; regular interactions and solicitations within the team; anticipation and continuous improvement; positive interdependence and alternating individual/collective work; and open communication and content management. This paper presents the implementation of MRP in a course teaching software engineering, UML language, and project management. The results show that MRP helped the course's students to acquire important professional knowledge and skills, experience near-real-world professional realities, and develop their abilities to work both in teams and autonomously.

5E Mobile Inquiry Learning Approach for Enhancing Learning Motivation and Scientific Inquiry Ability of University Students

Abstract: In recent years, many universities have opened courses to increase students' knowledge in the field of nanotechnology. These have been shown to increase students' knowledge of nanotechnology, but beyond this, advanced and applied nanotechnology courses should also focus on learning motivation and scientific enquiry abilities to equip students to develop the deeper knowledge and skills required for scientific application. This paper addresses this challenge. Due to the abstract nature of many nanotechnology concepts and in order to move from abstract knowledge to hands-on learning, an inquiry-based learning approach was adopted. Among the diverse inquiry-based learning models proposed, the 5E mobile inquiry-based approach, including the steps of engagement, exploration, explanation, elaboration, and evaluation, was considered most effective to enhance learners' understanding of nanotechnology. To evaluate the effectiveness of this proposed approach, a pretest–posttest quasi-experimental design was adopted with a total of 32 university students. Two sections of Nanotechnology Engineering, a general education course, were randomly assigned as either the comparison group (18 students; receiving lecture-based instruction, and using mobile devices) or the experimental group (14 students; receiving 5E inquiry learning, and using mobile devices). Mobile devices were adopted to enhance learners' experience, provide immediate access to information online, and provide enhanced hands-on learning. The empirical results demonstrate that the experimental condition, 5E mobile inquiry learning, had a positive impact on participants' learning motivation and scientific inquiry abilities.

A Brain–Computer Interface Project Applied in Computer Engineering

Abstract: 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.

An Embedded Systems Course for Engineering Students Using Open-Source Platforms in Wireless Scenarios

Abstract: 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.

Factors That Influence Students' Motivation to Start and to Continue Studying Information Technology in Estonia

Abstract: Despite the high competition for places to study curricula related to information technology (IT) at the higher education level in Estonia, a large number of IT students drop out. Therefore, it is important to explore what influences students to start studying IT and what influences them to persist with their degree program. In this study, data were collected from 301 IT students in Estonia. The students completed a questionnaire at the beginning of their studies and after their first semester. Five factors influencing students' motivation were identified from analysis of these questionnaires. Three of these factors were the same at the beginning of and during studies: previous personal contact with IT, the reputation of the IT field, and development (including self-development and IT field development). A fourth factor related to a desire to continue previous IT studies was found to influence students' motivation only when entering university. A fifth, i.e., learning environment, factor was found to influence motivation only during studies. The outcomes of this study are important for developing new interventions to increase students' interest in IT, their enrollment in IT studies, and their retention.

Enhancing Project-Based Learning Through Student and Industry Engagement in a Video-Augmented 3-D Virtual Trade Fair

Abstract: Project-based learning is a widely used pedagogical strategy in engineering education shown to be effective in fostering problem-solving, design, and teamwork skills. There are distinct benefits to be gained from giving students autonomy in determining the nature and scope of the projects that they wish to undertake, but a lack of expert guidance and of a clear direction at the outset can result in confusion, frustration, and unfulfilled goals. Moreover, engineering schools face the imperative of providing students with opportunities to engage with industry during their courses, which can be difficult to accomplish due to logistical and time constraints. This paper reports on a case study in which undergraduate students of electrical, computer, mechatronics, and telecommunications engineering interacted with representatives from industry to obtain feedback at the inception phase of their design projects. Students pitched their ideas to the industry guests at a virtual “trade fair” held within a hybrid video conferencing and three-dimensional (3-D) virtual world environment, in preparation for the assessable pitches that they had to deliver on campus to a faculty audience. Survey and assessment results attest to the participants' satisfaction as well as to the effectiveness of the approach in improving student self-efficacy and performance. The paper concludes with recommendations for engineering educators looking to implement similar initiatives and a brief outline of the authors' plans for the future.

Measuring the Impact of Agile Coaching on Students’ Performance

Abstract: Nowadays, considerable attention is paid to agile methods as a means to improve management of software development processes. The widespread use of such methods in professional contexts has encouraged their integration into software engineering training and undergraduate courses. Although several research efforts have focused on teaching Scrum through simulating a software development project, they covered only the learning of programming practices within a Scrum team. Furthermore, few studies tackle nontechnical skills other than the development practices themselves. The work presented here introduces an original Scrum-based training model enhanced with agile coaching to maximize student performance. This was validated by a case study on a capstone project in a Scrum course. This paper summarizes the positive results of introducing agile coaching, which resulted in approximately 22% more coverage of software engineering practices. In addition, a survey data showed that, compared to students who did not receive coaching, coached students gained valuable insight into the internalization of Scrum, problem solving, and guidance by means of checkpoint meetings.

Teaching Network Security With IP Darkspace Data

Abstract: This paper presents a network security laboratory project for teaching network traffic anomaly detection methods to electrical engineering students. The project design follows a research-oriented teaching principle, enabling students to make their own discoveries in real network traffic, using data captured from a large IP darkspace monitor operated at the University of California, San Diego (UCSD). Although darkspace traffic does not include bidirectional conversations (only attempts to initiate them), it contains traffic related to or actually perpetrating a variety of network attacks originating from millions of Internet addresses around the world. This breadth of coverage makes this darkspace data an excellent choice for a hands-on study of Internet attack detection techniques. In addition, darkspace data is less privacy-critical than other network traces, because it contains only unwanted network traffic and no legitimate communication. In the lab exercises presented, students learn about network security challenges, search for suspicious anomalies in network traffic, and gain experience in presenting and interpreting their own findings. They acquire not only security-specific technical skills but also general knowledge in statistical data analysis and data mining techniques. They are also encouraged to discover new phenomena in the data, which helps to ignite their general interest in science and engineering research. The Vienna University of Technology, Austria, first implemented this laboratory during the summer semester 2014, with a class of 41 students. With the help of the Center for Applied Internet Data Analysis (CAIDA) at UCSD, all exercises and IP darkspace data are publicly available.

Distance Learning Engineering Students Languish Under Project-Based Learning, But Thrive in Case Studies and Practical Workshops

Abstract: The International Engineering Alliance lists 12 important graduate attributes that students must demonstrate during their higher educational career. One of these important graduate attributes is the ability to solve problems, which can be demonstrated by the use of project-based learning, case studies, and practical workshops. The purpose of this paper is to highlight student academic results of practical work done in an electrical engineering qualification that feature these three pedagogies. These three pedagogies are used in an open-distance learning environment to assess engineering students in an electrical engineering qualification involving three separate electronic communication modules. A time-lag study using a nonexperimental descriptive design is employed. Results show that the most frequent student grade for practical workshop assignments was 80%, while the most frequent student grade for case study assignments was 70%. However, the most frequent student grade for project-based learning assignments was 50%. The results show that distance learning engineering students languish under project-based learning, while they thrive in case studies and practical workshops. Possible reasons are given for this, based on the challenges faced by students engaging with these three pedagogies.

Motivating Power System Protection Course Students by Practical and Computer-Based Activities

Abstract: 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.

Evaluating the Effects of Scripted Distributed Pair Programming on Student Performance and Participation

Abstract: The results presented in this paper contribute to research on two different areas of teaching methods: distributed pair programming (DPP) and computer-supported collaborative learning (CSCL). An evaluation study of a DPP system that supports collaboration scripts was conducted over one semester of a computer science course. Seventy-four students participated in the study and used the DPP model to solve programming assignments in pairs, rather than individually. Students were divided into two cohorts in order to examine how best to distribute programming tasks to students, to maximize learning outcomes. The results suggest that while the use of DPP improves pass rates and gets positive feedback from students, the use of collaboration scripts yields equal task contributions from each of the student pair. For a small number of students, overall performance was improved by the adaptive assignment of programming activities, designed to engage students equally in diverse roles and activities.

More Time or Better Tools? A Large-Scale Retrospective Comparison of Pedagogical Approaches to Teach Programming

Abstract: Learning to program is a complex task, and the impact of different pedagogical approaches to teach this skill has been hard to measure. This study examined the performance data of seven cohorts of students $(N = 1168)$ learning programming under three different pedagogical approaches. These pedagogical approaches varied either in the length of the introductory programming block of courses (two or three semesters) or in the programming tool used in the first semester (C language or the programming support tool Raptor). In addition, gender and initial course selection differences were investigated. Raw pass rates under the three pedagogical approaches were compared; they were also compared, controlling for initial ability levels, using a logistic regression. Results showed that a more extensive duration of the introductory block produced a higher pass rate in students, but changing the programming tool used did not. Raw gender differences were not statistically significant; admission phase differences were initially statistically different, but not once initial ability and pedagogical approach received had been accounted for. Findings are discussed in relation to existing literature.

A Network Steganography Lab on Detecting TCP/IP Covert Channels

Abstract: This paper presents a network security laboratory to teach data analysis for detecting TCP/IP covert channels. The laboratory is mainly designed for students of electrical engineering, but is open to students of other technical disciplines with similar background. Covert channels provide a method for leaking data from protected systems, which is a major concern for big enterprises and governments. The inclusion of covert channels in the curricula of network security students and network data analysts is therefore considered a valuable extension. In the lab exercises presented, students learn how covert channels in TCP/IP network traffic can be hidden and detected. Since the detection of covert channels requires an in-depth understanding of protocol standards and typical behavior of TCP/IP flows, the lab also provides a “playground” in which students can deepen their communication networks knowledge. Students learn how to use and interpret statistical analysis to discover abnormal patterns and footprints in network data. They are also trained to deal with noisy scenarios that increase ambiguity and uncertainty. The laboratory was first implemented during the winter semester 2014 with a class of 18 students at TU Wien, Austria. This experience showed that students consolidated the targeted skills as well as increased their interest in the topics explored. All exercises and datasets for the introduced “Network Security Advanced” lab are made publicly available.

Assessing the Impact of Continuous Evaluation Strategies: Tradeoff Between Student Performance and Instructor Effort

Abstract: Current opinion on undergraduate studies has led to a reformulation of teaching methodologies to base them not just on learning, but also on skills and competencies. In this approach, the teaching/learning process should accomplish both knowledge assimilation and skill development. Previous works demonstrated that a strategy that uses continuous evaluation is able to meet both objectives. However, those studies did not evaluate and quantify the additional effort required to implement such strategies. This paper evaluates the additional instructor effort required when implementing continuous evaluation in a first-year Computer Fundamentals course in the Computer Engineering degree program at the Technical University of Valencia, Spain. The experiment quantifies how instructor workload increases under different continuous evaluation strategies and how this affects the overall student grade. Both the “standard” continuous evaluation method and the intensive continuous evaluation method are analyzed, the latter being a proposal that builds upon the standard method by increasing the number of tests and examinations. The results obtained reveal that continuous evaluation improves student grades but that intensive continuous evaluation is liable to generate an excessive instructor overload without having a significant impact on student scores.

3-D Printing as an Effective Educational Tool for MEMS Design and Fabrication

Abstract: This paper presents a series of course modules developed as a high-impact and cost-effective learning tool for modeling and simulating the microfabrication process and design of microelectromechanical systems (MEMS) devices using three-dimensional (3-D) printing. Microfabrication technology is an established fabrication technique for small and high-precision MEMS devices; these processes typically take place in a cleanroom with the use of expensive high-vacuum equipment. These course modules were developed to provide engineering educators a more affordable and effective method for teaching MEMS modeling in settings without a cleanroom, as is the case in many undergraduate institutions. Feedback from student evaluations as well as course grades all support the efficacy of these course modules. In these hands-on modules, by designing and building the MEMS prototypes, the students learn by experiencing the process of building a MEMS device from the specifications given. The results are also compared to similar assessments made in the course before the introduction of these course modules to verify success. The detailed description of the modules, the evaluation methodologies adopted, and reflections on the implementation are discussed.

A Senior Project-Based Multiphase Motor Drive System Development

Abstract: Adjustable-speed drives based on multiphase motors are of significant interest for safety-critical applications that necessitate wide fault-tolerant capabilities and high system reliability. Although multiphase machines are based on the same conceptual theory as three-phase machines, most undergraduate electrical machines and electric drives courses do not cover this topic. Setting aside the analysis challenges addressed in state-of-the-art literature, undergraduate electrical machines and power electronics courses are a good opportunity for students to understand the main concepts underlying such electric drive systems. This paper presents an adjustable-speed multiphase drive system senior project for electrical engineering undergraduate students that addresses their attainment of the course's learning outcomes. Eight of the course's students were assigned to build the multiphase variable-speed motor drive system. From a pedagogical point of view, this paper describes the methodology of using a senior project to engage students through experiential learning of electric drive systems, which span disciplines such as electrical machines, control, power electronics, and electronics. Students acquire both technical skills and soft skills, which are evaluated through various assessment activities. A number of lessons for future work have been drawn from the experience of applying this project-based learning approach.

The Magnitude Response Learning Tool for DSP Education: A Case Study

Abstract: Many concepts in digital signal processing are intuitive, despite being mathematically challenging. The lecturer not only has to teach the complicated math but should also help students develop intuition about the concept. To aid the lecturer in this task, the Magnitude Response Learning Tool has been introduced, a computer-based learning game addressing the connection between the pole/zero chart of a discrete-time linear time-invariant (LTI) system and its magnitude response. In each game round, the student has to draw a magnitude response given only the poles and zeros of the LTI system. The accuracy of the student's estimate acts as a game score, allowing leaderboards and player-versus-player comparisons on the tool's webpage. This paper analyzes how the tool affects student performance. While the qualitative results show that the students are satisfied with the tool and consider it a useful supplement to the available teaching material, the quantitative part of the study suggests a strong positive correlation between the number of rounds played and the student performance in related tasks.

Insights Into Students' Conceptual Understanding Using Textual Analysis: A Case Study in Signal Processing

Abstract: Concept inventory tests are one method to evaluate conceptual understanding and identify possible misconceptions. The multiple-choice question format, offering a choice between a correct selection and common misconceptions, can provide an assessment of students' conceptual understanding in various dimensions. Misconceptions of some engineering concepts exist due to a lack of mental frameworks, or schemas, for these types of concepts or conceptual areas. This study incorporated an open textual response component in a multiple-choice concept inventory test to capture written explanations of students' selections. The study's goal was to identify, through text analysis of student responses, the types and categorizations of concepts in these explanations that had not been uncovered by the distractor selections. The analysis of the textual explanations of a subset of the discrete-time signals and systems concept inventory questions revealed that students have difficulty conceptually explaining several dimensions of signal processing. This contributed to their inability to provide a clear explanation of the underlying concepts, such as mathematical concepts. The methods used in this study evaluate students' understanding of signals and systems concepts through their ability to express understanding in written text. This may present a bias for students with strong written communication skills. This study presents a framework for extracting and identifying the types of concepts students use to express their reasoning when answering conceptual questions.

Bioinstrumentation: A Project-Based Engineering Course

Abstract: This paper presents the development, implementation, and assessment of a project-based Bioinstrumentation course. All course lectures and hands-on laboratory activities are related to a central project theme: a cardiac pacemaker. The students create a benchtop cardiac pacemaker by applying instrumentation knowledge acquired in the course to each stage of device development. This approach emphasizes both conceptual and practical student learning: The students must apply theory learned in the course to create their devices. Indirect and direct assessment performed with respect to the major course objective demonstrated that course participants were able to successfully design, construct, and test a bioinstrumentation system. The students perceived a marked increase in their instrumentation knowledge, objectively corroborated by their performance on specific exercises related to the creation of their benchtop pacemakers. The outcomes of the course development presented here, along with the course structure and pedagogical methodology, may enhance engineering education by acting as a guideline for the creation of courses in which a central project theme is used as a platform for concept instruction.

Effects of Using Requirements Catalogs on Effectiveness and Productivity of Requirements Specification in a Software Project Management Course

Abstract: This paper presents the results of two educational experiments carried out to determine whether the process of specifying requirements (catalog-based reuse as opposed to conventional specification) has an impact on effectiveness and productivity in co-located and distributed software development environments. The participants in the experiments were 76 students enrolled in three courses on project management for software development at the University of Murcia, Spain, and the Mohammed V University of Rabat, Morocco. The results of a fixed effects meta-analysis (Hedges’ g) obtained a medium effect ( $-$ 0.495, $p=0.034$ ) for productivity, and a large effect ( $-$ 1.077, $p ) for effectiveness, in favor of using a catalog-based reuse process rather than a conventional specification process. The other co-factor examined, distribution (either global or co-located), had no statistically significant interaction with the process used (catalog-based reuse or conventional specification) for either effectiveness or productivity. Further research is required to study the effectiveness and productivity of the catalog-based requirements engineering learning method so that it can be taught in software engineering courses and applied in real software engineering projects.

Student and Staff Perceptions of Key Aspects of Computer Science Engineering Capstone Projects

Abstract: In carrying out their capstone projects, students use knowledge and skills acquired throughout their degree program to create a product or provide a technical service. An assigned advisor guides the students and supervises the work, and a committee assesses the projects. This study compares student and staff perceptions of key aspects of completing this type of project, such as project characteristics, student competencies, advisor involvement, and student perceived learning. The primary finding of this study is that the students' expectations differ greatly from those of staff. In particular, students tend to have a better opinion of their project, their competencies, and the supervision received than does the staff. However, advisors and evaluation committees have a similar opinion about projects characteristics. The students' perception of their learning, furthermore, is not always consistent with the grade obtained or student satisfaction. This disagreement suggests the need to more clearly and effectively communicate actual expectations to students and staff.

Philosophy and Engineering: Reflections on Practice, Principles and Process

Abstract: This book comprises a selection of papers presented at the IPET 2008 symposium that took place at the Royal Academy of Engineering in London in November 2008 and at the following workshop at the Colorado School of Mines. It is the second volume in a series that emanated from a workshop on Philosophy in Engineering that took place at the University of Delft in October 2007 and that began a continuing series of workshops named by the acronym IPET followed by the year of the workshop. Prior to that, there had been three significant publications that had illustrated the value of pursuing the relationship between philosophy and engineering, and engineering education. The success of this 2007 University of Delft workshop led to IPET 2008 being held at the Royal Academy of Engineering in London. While the focus of both volumes is on engineering, necessarily many of the papers have implications for engineering education. It would be surprising if the three individuals invited to review this book were able to agree upon a conclusion. They did indeed have different views; this seems to be because their views differed of who was likely to read this book. A reader may infer the editors’ intentions from the questions put to Mitcham, but it is harder to infer the intended audience. One of the reviewers takes the view that a collection of papers of the calibre presented will attract a like-minded set of readers, and so responded to the questions put to Mitcham with that group in mind. Another thought the book would be suited to engineering educators more generally, and as a result was effusive in its praise. The fundamental questions that need to be answered are “What value do these papers have for engineering educators?” and “What value do they have for their students?” While the editors have not focused on engineering and technological literacy, a number of chapters are of considerable importance to those who promote study in these areas. The chapters on peace engineering and the use of robotics in warfare are examples of this. Of the series of papers on the philosophy of technology adoption over the last two decades, some are summarized in Ch. 23 by Houkes and Pols. This chapter focuses on the designer–user system in terms of what the authors' call Rational Acceptance Technology (RAT), one aspect of which is control. They point out that in designing artefacts, designers hand over a measure of control to the users. RAT requires that the user has partial responsibility for failure. For instance, guarantees and insurance for domestic electrical goods are careful to note improper use as an exclusion from the guarantee. From the reviewers' perspective, the answer to the first of the questions put to Mitcham is that this volume contributes to the establishment of a philosophy of engineering. It now requires an authority to provide a synthesis of the numerous articles that have been published in this area with that in mind. A good starting point would be for the organizers of these and similar workshops to call for some focused review papers, to which the reviewers and readers of this book can look forward to with great anticipation.

Investigating Student Motivation and Performance in Electrical Engineering and Its Subdisciplines

Abstract: Factors influencing choice of major in electrical engineering and later curricular and professional choices are investigated. Studies include both quantitative and qualitative analyses via student transcripts, surveys, and focus groups. Student motivation for choosing an electrical engineering major and later subdiscipline in the field is interpreted through expectancy-value theory, where primary factors of strong perceived value of future professional opportunities and strong influence of course instructors are identified. Performances in select required electrical engineering courses appear to serve as predictors for student choice of subdiscipline emphasis. In contrast, participation in student professional activities does not show statistically significant correlations with subdiscipline. Curricular and professional choices appear to be explained by expectancy-value theory with inclusion of socializers. The findings suggest that early and integrative exposure of all electrical engineering technical areas, including high-quality teaching, may provide an optimal basis for students to make future decisions on academic path and participation in professional activities.

Virtual Laboratory for QoS Study in Next-Generation Networks With Metro Ethernet Access

Abstract: 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.

Implementation of a Low-Cost Automated LED Photometer for Enzymatic Reaction Detection to Teach Basic Bioelectronics Technologies in Vocational High Schools

Abstract: This study proposes a home-assembled, low-cost blue light-emitting diode (LED) photometer that uses simple and low-cost hardware and software, costing about US $150. This 425-nm wavelength photometer is controlled by an 89C51 microcontroller chip. Glucose concentration detection experiments involving enzyme coupling reactions were carried out to verify the performance of the proposed system. Measurement errors for the system were between 3% and 4%, which can be further improved to less than 2%. The proposed LED photometer can be used by students in electronics classes to conduct biotechnological tests as part of their electrical and electronics vocational high school education. This can help them to explore the basic applications of biosensors and enhance their professional abilities in executing fundamental bioelectronics processes. Pretest and post-test assessments of students' knowledge of bioelectronics were conducted to determine the efficacy of the proposed system in enhancing students' knowledge. The LED photometer can be modified to test various samples in biochemistry and analytical chemistry, and it can also be applied to various fields such as electronics, chemical engineering, and biochemistry .

Using the Wiimote to Learn MEMS in a Physics Degree Program

Abstract: This paper describes a learning experience designed to introduce students in a Micro- and Nanosystems course in a Physics Bachelor's degree program to the use of professional tools for the design and characterization of microelectromechanical systems (MEMS) through a specific commercial case: the MEMS used by the well-known gaming platform Nintendo Wii. For this project, all the MEMS' fabrication steps were adapted to a teaching environment, from its design using specific software, to its experimental characterization after fabrication. The implementation of this learning strategy enhances students' learning autonomy while fostering multidirectional learning and active feedback between teachers and students. This innovative approach allows students to carry out collaborative work in a realistic environment and serves to introduce science students to tools and workflow typical of the engineering field. Although this learning strategy is particularized for students in a Micro- and Nanosystems course of a Physics Bachelor's degree program, it can be adapted to students of any scientific technical degree.