Applied Dynamics In School And Practice

Mechanical engineering, mechanical engineering technology, and related educational programs are not addressing in a sufficient way the principles associated with applying analytical investigations in solving actual engineering problems. Because of this, graduates do not have the adequate skills required to use the methods of applied dynamics in the process of analyzing mechanical systems. These methods allow one to obtain an understanding of the role of the parameters of a system and to carry out a purposeful control of the values of these parameters with the goal to achieve the desired performance. Engineering and engineering technology programs pay very little attention to addressing these steps. It should be stressed that these programs do not offer a universal straightforward methodology of solving linear differential equations of motion that allow revealing all important interrelationships between the aspects of the engineering problem. It is difficult to formulate the reasons why there is such a low interest in applying the analytical approach in order to reveal the interrelationships between decisive aspects of the operational process of an engineering system in order to achieve the desired goal. Actually, there is almost a complete silence with regard to this issue. Hence, we assume that the first reason could be that there is no recognition of the existence of such a problem. In other words, there is no need to apply these analytical methods since these methods are not beneficial. We do not believe that the engineering community supports this reason. It is not a matter of demonstrating factual data that show how many times the theory was helpful. Without the support of the theory we cannot justifiably evaluate the results of our solutions. If we agree that there is problem, then why are there no publications that would stimulate discussions leading toward a solution of the problem? Here is the second reason. Until now, engineering programs do not present the straightforward universal theoretically sound methodologies for solving the second order linear differential equations that are vital for mechanical and electrical engineering. Without any suggestions of how to solve this problem, it did not make much sense to begin a discussion. In our opinion, this is why we have silence with the regard to this problem. However, it is well known that Laplace Transforms allow solving any linear differential equation of motion. It is justifiable to assume that the main reason why the Laplace Transform methodology is not adopted by learning environments consists in the absence of the majority of tables of Laplace Transform Pairs that are needed for solving differential equations of motion as well as differential equations describing electrical circuits. However, the situation is changed. Current publications comprise the adequate tables that are needed for solving linear differential equations of motion associated with all common mechanical engineering problems. Practicing engineers and students need assistance in acquiring the knowledge of composing differential equations of motion. They need certain training in solving these equations using Laplace Transform methodology. Several recommendations are proposed on how to expedite the implementation in academia and in industry of the methods of applied dynamics in solving common mechanical engineering problems.

Development Of Psychometrically Validated Standardized Test Instruments For Outcomes Assessment In Experiential Engineering Education

There is a major trend in engineering education to provide students with realistic hands-on learning experiences. This paper reports on the results of work done to develop standardized test instruments to use for student learning outcomes assessment in an experiential hands-on manufacturing engineering and technology environment. The specific outcomes targeted for assessment are those defined under the MILL (Manufacturing Integrated Learning Laboratory) Manufacturing Competency Model. In a unique feature aimed at experiential learning, the test instruments incorporate the use of a physical manipulative to evaluate attainment of particular hands-on skills. The resulting standardized tests have been subjected to extensive psychometric analysis. The results of the analysis indicate excellent structure of the test instruments. The test instruments have shown high levels of stability, internal consistency, and reliability. These tests can be used as instruments for outcomes assessment to help document attainment of targeted learning outcomes for program assessment, accreditation, and other assessment purposes. Outcomes Assessment; Standardized Test; Psychometrically Validated; Experiential Learning

Engage Engineering Students In Homework: Attribution Of Low Completion And Suggestions For Interventions

Homework is an important out-of-class activity, crucial to student success in engineering courses. However, in a first-semester freshman engineering course, approximately one-fourth of students were completing less than 80% of the homework. The purpose of this study was to examine students’ attribution of their low completion of homework and suggest corresponding interventions to help students with different attribution types. A qualitative approach was applied using semi-structured interviews for data collection. The interviewees were students who were on track to complete less than 80% of the homework. Students in the study attributed their low rates of completion to multiple factors. We coded and summarized students’ attributions of homework incompletion according to Weiner’s attribution theory and suggested corresponding interventions for students with different attribution types. Results show that most students attributed their failure to complete their homework to external reasons rather than internal reasons. A large portion of student’s attributions for low homework completion was due to poor time management skills. Some students attributed low homework completion to unstable factors such as illness, transition, or adjustment problems. A small portion attributed low homework completion to uncontrollable reasons, such as sickness and homework difficulty. Students’ reasons for homework incompletion varied across the three dimensions of Weiner’s attribution theory suggesting that a variety of intervention techniques is required. In addition to use of widely adopted interventions such as first year seminars, tutoring, and tutorial sessions, intervention techniques based on attribution theory may be necessary to employ, to help students avoid negative emotional and behavioral consequences of homework incompletion.

Collaborative Argumentation As A Learning Strategy To Improve Student Performance In Engineering Statics: A Pilot Study

Educators have used argumentation to help students understand mathematical ideas which often appear abstract to the novice learner. A preliminary investigation was conducted to determine if collaborative argumentation is a strategy that can improve the student’s conceptual understanding of the topics taught in the engineering course commonly titled Statics. The academic performance of students enrolled in a traditional problems-solving session was compared to the academic performance of students enrolled in a problem-solving session where collaborative argumentation was used. Results suggest that argumentation improved student performance as measured by grades associated with one-hour long exams, although student written responses on a course evaluation survey responses indicate that students did not believe argumentation was a learning strategy was effective.

A Technique For Continuous Evaluation Of Student Performance In Two Different Domains: Structural Engineering And Computer Information Technology

Student access to the Internet has made it much easier for students to find solutions to traditional homework problems online and thereby has made this traditional assessment method of monitoring student progress and gauging the assimilation of knowledge in engineering and technology courses less reliable. This paper presents an in-class, group-based quiz technique where students are quizzed typically on a weekly basis on material presented during the same week in lecture, but before doing any homework. Homework is typically not graded or its impact reduced on its percentage impact on the final class grade, whereas the quizzes are assigned a higher percentage impact on the final grade. Mid-term and final exams are based or derived from the homework assignments. Since students have not usually had any time to study the new material, they can work in groups of typically two or three students and if they get stuck, they have the option of asking the instructor for hints to prevent them from being stuck. Quizzes are graded in real-time during the class and provide the instructor with continuous, week to week, assessment as to a student’s progress. The study found that the use of this quiz technique creates a more interactive experience between students, between the student and the instructor, and reduces the possibility of plagiarism on homework assignments.

A Comparison Of Delivery Formats To Encourage Student-Centered Learning In A Power Engineering Technology Course

This paper describes a student-centered approach to a power engineering technology course using the flipped or inverted classroom as well as active learning in the form of group discussions and team problem solving. The study compares student performance and perceptions of a traditional, teaching-centered classroom to two different flipped courses: one using video lectures and one using a media-enhanced electronic textbook. The authors compared courses in the areas of 1) student performance on multiple choice and numerical analysis problems, 2) students’ perceptions of course delivery format and satisfaction with the course and instructor, and 3) technical content coverage. Results show little difference in student achievement between the course formats, strong negative reactions by students to unfamiliar instructional methods, and little difference in content coverage. The authors believe that the outcomes of this study can be attributed to the benefits of small class sizes (n<12), which naturally enable active learning to be utilized without the need for rigid and formal course structure,

Engineering Education For Generation Z

Generation Z is gaining popularity as the name used to refer to those born beginning in the mid to late 1990s. This is the generation that follows the Millennials, and they are just starting to arrive on college campuses. Much attention has been paid to Millennials and their impact on society, and because of this Generation Z members are often lumped together with this older cohort. But Generation Z students are unique, and universities and colleges must prepare to meet the challenges of instructing this new generation. Engineering educators in particular are being challenged to adapt to the speed of technological change. Faculty must consider how to adjust to this new environment, including the changing needs and expectations of Generation Z students. This paper explores these topics. The first section will explore the concept of a generation and describe some of the attributes associated with Generation Z. The second section will review the development of engineering education in the United States and some of the major reforms that have occurred in the past 100 years. The last section will discuss potential changes in the classroom to try and address some of the characteristics of Generation Z students.

Women In Engineering: Insight Into Why Some Engineering Departments Have More Success In Recruiting And Graduating Women

Universities across the United States (U.S.) are perplexed as to why fewer women than men study engineering and why even fewer complete the curriculum and earn an undergraduate degree in engineering. The percentage of undergraduate engineering degrees awarded annually to women in the U.S. since 2000 has remained relatively constant at around 20%. However, some engineering disciplines have had much greater success in graduating women, with some programs awarding 50% or more of their bachelor’s degrees to women. The purpose of this research was to gain a better understanding of why women preferred certain engineering disciplines over others. Up to 17 years of undergraduate engineering department data from the University of Florida (UF) and national averages from the National Science Foundation (NSF) were reviewed to evaluate graduation rates for women in engineering. The total number of graduates at the undergraduate level were compared to the number of undergraduates who identified themselves as women. Linear regression of the data was used to identify trends. In the last 17 years, there has been little change in the overall percentage of women engineering undergraduates, but there is a great disparity between the engineering disciplines. Women earn larger proportions of undergraduate degrees in engineering disciplines where they perceive a societal benefit. How can engineering departments improve their enrollment and retention of women? One way is by providing early-on specific real life examples of how engineers solve society’s most challenging problems.

Measuring Learners’ Attitudes Toward Team Projects: Scale Development Through Exploratory And Confirmatory Factor Analyses

Team projects are increasingly used in engineering courses. Students may develop attitudes toward team projects from prior experience, and their attitudinal responses could influence their performance during team project-based learning in the future. Thus, instructors need to measure students’ attitudes toward team projects during their learner analysis to better understand students’ characteristics and be proactive in providing effective strategies to help students succeed in a team project environment. The purpose of our study was to develop a survey instrument that measures students’ attitudes toward team projects to be used as a learner analysis tool, derived from our local practical needs and due to the lack of appropriate existing instruments. The study was conducted at a mid-sized university in the northwestern United States during 2015-2016. After we generated an initial pool of 50 items, we administered the survey to 225 undergraduate engineering students, performed exploratory factor analysis on the data, and arrived at a four-factor solution of 20 items and a three-factor solution of 14 items. We tested the two competing solutions with another set of 330 undergraduate engineering students. Based on our confirmatory factor analysis results, we arrived at a three-factor model of 12 items as the finalized scale, which measures: (a) professional capacity building, (b) learning and problem-solving skills development, and (c) workload challenges. We call the scale, the Attitudes toward Team Projects Scale on Capacity, Learning, and Workload (ATPS-CLW). Suggestions for future research include continuous development, testing, and validation of the scale.

The Effects Of Gender, Engineering Identification, And Engineering Program Expectancy On Engineering Career Intentions: Applying Hierarchical Linear Modeling (HLM) In Engineering Education Research

This study had three purposes and four hypotheses were tested. Three purposes: (1) To use hierarchical linear modeling (HLM) to investigate whether students’ perceptions of their engineering career intentions changed over time; (2) To use HLM to test the effects of gender, engineering identification (the degree to which an individual values a domain as an important part of the self), and engineering program expectancy (one’s belief in the possibility of his or her success in engineering) on the growth trajectory of students’ engineering career intentions; and (3) To introduce the uses of longitudinal design and growth curve analysis in engineering education research. Survey data was collected at four time points using measures that produce scores with known validity. Sample sizes at each time point were 470, 239, 129, and 115, respectively. We used SPSS 22.0 to perform descriptive statistics and reliability analyses, and HLM version 7.0 to analyze growth. Between their first and third years, undergraduate students’ perceived engineering career intentions neither grew nor declined significantly, with no significant difference between male and female students. Engineering identification significantly predicted individual differences when controlling for engineering program expectancy, whereas engineering program expectancy did not predict career intentions when controlling for engineering identification. These findings are possibly signs of overall stabilization of the declining trends in career intentions and reversal of women’s perceptions of commitment to engineering careers. The contributions and limitations of this study are also discussed.