Search for: All records

Low-Cost Desktop Learning Modules (LCDLMs) are innovative, affordable educational tools designed to enhance hands-on learning experiences in engineering education. Previous studies have shown the effectiveness of LCDLMs in promoting engineering student engagement and learning outcomes. The present study further explored whether different types of LCDLMs could influence student engagement and learning outcomes differently. This study compared four LCDLMs (i.e., Double Pipe, Hydraulic Loss, Shell & Tube, and Venturi). In total, 2190 undergraduate and graduate students from 29 universities in the United States participated in this study. Results of this study showed that the Shell & Tube module significantly outperformed the Hydraulic Loss and Venturi modules in promoting enhancements in student Active scores. However, no significant differences were observed between the Double Pipe module and the other modules on Active scores. Moreover, the Hydraulic Loss module led to significantly higher knowledge growth compared to the Double Pipe, Shell & Tube, and Venturi modules. 

Hands-on, active learning in engineering courses fosters deeper understanding, collaboration, and social skills for students. This paper reports on the design, fabrication, and testing of a transparent miniaturized shell-and-tube heat exchanger module for engineering thermo-fluids classes. This module was also implemented for in-class heat exchanger instruction, where students (sample size, N = 75) conducted hands-on experiments following the instructions provided in the associated worksheet, participated in pre-tests and post-tests, analyzed the experimental data, and provided their feedback through motivational surveys. The performance test data obtained from the developed desktop heat exchanger module shows that the experimental heat transfer rates are in good agreement with theoretically predicted values calculated based on the standard correlations and assumptions. The pre-test and post-test assessments show that the use of this miniaturized shell-and-tube heat exchanger module in classroom instruction improves fundamental understanding of the heat exchange process and enhances student comprehension of complex phenomena of fluid flow patterns and heat transfer in the different parts of the heat exchanger. The motivational assessments demonstrate the module’s efficacy in elucidating the underlying heat transfer mechanisms and facilitating active engagement. The developed low-cost, handson heat exchanger can be used in undergraduate thermo-fluids engineering education for visualizing and better understanding of heat transfer principles, enhancing engagement of students, improving retention of fundamental concepts, and finally bridging the gap between theoretical abstractions and real-world applications. 

There is overwhelming research evidence showing that students often struggle with learning key engineering concepts. The Low-Cost Desktop Learning Modules (LCDLMs) are model prototypes of standard industry equipment designed for students to learn some fundamental but abstract engineering concepts in the classrooms. Previous results have shown that students who interact with LCDLMs tend to outperform those who engage in traditional lectures. However, little is known about student profiles and their forms of engagement with this tool. Hence, the present study seeks to investigate the different student profiles that emerge from students working with the LCDLM and the demographic factors that influence student engagement with the tool. Participants (N = 1,288) responded to an engagement survey after working with LCDLMs in engineering classrooms in several states around the United States. We then used a latent profile analysis (LPA) – an advanced statistical approach – to better understand the representation of learner engagement profiles resulting from their self-reported learning engagement beliefs as they reflect on their experience in using LCDLMs. The LPA revealed five distinct profile types – disengaged, somewhat engaged, moderately engaged, highly engaged, and fluctuating engagement. Results showed that those who are more interactive and actively engaged with the LCDLM scored higher on their questionnaire compared to those who passively engaged with the LCDLM. We conclude with a discussion of the theoretical and practical implications of our findings. 

Chemical engineers frequently contribute to the advancement of the medical field; however, such applications are often not covered in the undergraduate curriculum until third- or fourth-year electives. We propose implementing a hands-on learning tool in an elective third- and fourth-year course and core third-year separations class to help undergraduate students apply chemical engineering concepts to biomedical applications. The hands-on learning tool of interest is used to introduce students to blood separation principles through a microbead settling device. See-through columns are filled with fluid and microbeads at various ratios to model the effect of hematocrit, or red blood cell fraction, on cell settling velocities and separation efficiencies. We hypothesize that the use of a biomedical hands-on learning tool will result in motivational and conceptual gains in comparison to traditional lecture and have significant effects on underrepresented minority groups in the class. Pre- and posttests will be used to assess conceptual understanding of separations principles with respect to biomedical applications across hands-on and lecture groups. Additionally, motivational surveys will be used to gauge levels of interactivity between the two groups, relating to the ICAP hypothesis. We plan to conclude the paper submission and presentation with theoretical and practical implications of our findings from Spring 2022 implementations. 

The science, technology, engineering and mathematics (STEM) workforce contributes to the U.S. economy by supporting 67% of jobs and 69% of the gross domestic product [1]. Currently, there is an increased demand for engineering and computer science (E/CS) professionals, particularly those from underrepresented (e.g., gender, racial, ethnic) and underserved (socio-economic, geographically isolated) groups who bring diversity of thought and experience to the national E/CS workforce [2]. Correspondingly, educational institutions are called upon to develop capabilities to attract, engage, and retain students from these diverse backgrounds in E/CS programs of study. To encourage and enable diverse students to opt into and persist within E/CS programs of study, there is a critical need to engage students in supportive and enriching opportunities from which to learn and grow. The importance of student engagement for promoting student growth and development has been researched to such an extent that its utility is widely agreed upon [5]. Importantly, it has been shown that both academic and extracurricular aspects of a student’s learning processes are characterized by engagement [6]. High Impact Educational Practices (HIP) provide useful opportunities for deep student engagement and, thus, positively influence student retention and persistence [4]. Kuh [3] identified eleven curricular and extracurricular HIP (i.e., collaborative assignments and projects, common intellectual experiences, eportfolios, first year seminars and experiences, global learning and study abroad, internships, learning communities, senior culminating experiences, service and community-based learning, undergraduate research, and writing intensive courses). In computer science and engineering education fields, however, the extent to which HIP affects persistence and retention has not been fully investigated. This project aims to examine E/CS undergraduate student engagement in HIP and to understand the factors that contribute to positive engagement experiences. 

Hands-on experiments using the Low-Cost Desktop Learning Modules (LCDLMs) have been implemented in dozens of classrooms to supplement student learning of heat transfer and fluid mechanics concepts with students of varying prior knowledge. The prior knowledge of students who encounter these LCDLMs in the classroom may impact the degree to which students learn from these interactive pedagogies. This paper reports on the differences in student cognitive learning between groups with low and high prior knowledge of the concepts that are tested. Student conceptual test results for venturi, hydraulic loss, and double pipe heat exchanger LCDLMs are analyzed by grouping the student data into two bins based on pre-test score, one for students scoring below 50% and another for those scoring above and comparing the improvement from pretest to posttest between the two groups. The analysis includes data from all implementations of each LCDLM for the 2020-2021 school year. Results from each of the three LCDLMs were analyzed separately to compare student performance on different fluid mechanics or heat exchanger concepts. Then, the overall pre- and posttest scores for all three LCDLMs were analyzed to examine how this interactive pedagogy impacts cognitive gains. Results showed statistically significant differences in improvement between low prior knowledge groups and high prior knowledge groups. Additional findings showed statistically significant results suggesting that the gaps in performance between low prior knowledge and high prior knowledge groups on pre-tests for the LCDLMs were decreased on the posttest. Findings showed that students with lower prior knowledge show a greater overall improvement in cognitive gains than those with higher prior knowledge on all three low-cost desktop learning modules. 

Our team has developed Low-Cost Desktop Learning Modules (LCDLMS) as tools to study transport phenomena aimed at providing hands-on learning experiences. With an implementation design embedded in the community of inquiry framework, we disseminate units to professors across the country and train them on how to facilitate teacher presence in the classroom with the LC-DLMs. Professors are briefed on how create a homogenous learning environment for students based on best-practices using the LC-DLMs. By collecting student cognitive gain data using pre/posttests before and after students encounter the LC-DLMs, we aim to isolate the variable of the professor on the implementation with LC-DLMs. Because of the onset of COVID-19, we have modalities for both hands-on and virtual implementation data. An ANOVA whereby modality was grouped and professor effect was the independent variable had significance on the score difference in pre/posttest scores (p<0.0001) and on posttest score only (p=0.0004). When we divide out modality between hands-on and virtual, an ANOVA with an F- test using modality as the independent variable and professor effect as the nesting variable also show significance on the score difference between pre and posttests (p-value=0.0236 for hands- on, and p-value=0.0004 for virtual) and on the posttest score only (p-value=0.0314 for hands-on, and p-value<0.0001 for virtual). These results indicate that in all modalities professor had an effect on student cognitive gains with respect to differences in pre/posttest score and posttest score only. Future will focus on qualitative analysis of features of classrooms yield high cognitive gains in undergraduate engineering students.