skip to main content


Title: Student Perceptions of an Active Learning Module to Enhance Data and Modeling Skills in Undergraduate Water Resources Engineering Education. International Journal of Engineering Education 35(5):1353-1365
This article describes the design, development, and evaluation of an undergraduate learning module that builds students’ skills on how data analysis and numerical modeling can be used to analyze and design water resources engineering projects. The module follows a project-based approach by using a hydrologic restoration project in a coastal basin in south Louisiana, USA. The module has two main phases, a feasibility analysis phase and a hydraulic design phase, and follows an active learning approach where students perform a set of quantitative learning activities that involve extensive data and modeling analyses. The module is designed using open resources, including online datasets, hydraulic simulation models and geographical information system software that are typically used by the engineering industry and research communities. Upon completing the module, students develop skills that involve model formulation, parameter calibration, sensitivity analysis, and the use of data and models to assess and design a hydrologic a proposed hydrologic engineering project. Guided by design-based research framework, the implementation and evaluation of the module focused primarily on assessing students’ perceptions of the module usability and its design attributes, their perceived contribution of the module to their learning, and their overall receptiveness of the module and how it impacts their interest in the subject and future careers. Following an improvement-focused evaluation approach, design attributes that were found most critical to students included the use of user-support resources and self-checking mechanisms. These aspects were identified as key features that facilitate students’ self-learning and independent completion of tasks, while still enriching their learning experiences when using data and modeling-rich applications. Evaluation data showed that the following attributes contributed the most to students’ learning and potential value for future careers: application of modern engineering data analysis; use of real-world hydrologic datasets; and appreciation of uncertainties and challenges imposed by data scarcity. The evaluation results were used to formulate a set of guiding principles on how to design effective and conducive undergraduate learning experiences that adopt technology-enhanced and data and modeling- based strategies, on how to enhance users’ experiences with free and open-source engineering analysis tools, and on how to strike a pedagogical balance between module complexity, student engagement, and flexibility to fit within existing curricula limitations.  more » « less
Award ID(s):
1726965
NSF-PAR ID:
10189082
Author(s) / Creator(s):
Date Published:
Journal Name:
IJEE International Journal of Engineering Education
Volume:
35
Issue:
5
ISSN:
2540-9808
Page Range / eLocation ID:
1353-1365
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
More Like this
  1. Major challenges in engineering education include retention of undergraduate engineering students (UESs) and continued engagement after the first year when concepts increase in difficulty. Additionally, employers, as well as ABET, look for students to demonstrate non-technical skills, including the ability to work successfully in groups, the ability to communicate both within and outside their discipline, and the ability to find information that will help them solve problems and contribute to lifelong learning. Teacher education is also facing challenges given the recent incorporation of engineering practices and core ideas into the Next Generation Science Standards (NGSS) and state level standards of learning. To help teachers meet these standards in their classrooms, education courses for preservice teachers (PSTs) must provide resources and opportunities to increase science and engineering knowledge, and the associated pedagogies. To address these challenges, Ed+gineering, an NSF-funded multidisciplinary collaborative service learning project, was implemented into two sets of paired-classes in engineering and education: a 100 level mechanical engineering class (n = 42) and a foundations class in education (n = 17), and a fluid mechanics class in mechanical engineering technology (n = 23) and a science methods class (n = 15). The paired classes collaborated in multidisciplinary teams of 5-8 undergraduate students to plan and teach engineering lessons to local elementary school students. Teams completed a series of previously tested, scaffolded activities to guide their collaboration. Designing and delivering lessons engaged university students in collaborative processes that promoted social learning, including researching and planning, peer mentoring, teaching and receiving feedback, and reflecting and revising their engineering lesson. The research questions examined in this pilot, mixed-methods research study include: (1) How did PSTs’ Ed+gineering experiences influence their engineering and science knowledge?; (2) How did PSTs’ and UESs’ Ed+gineering experiences influence their pedagogical understanding?; and (3) What were PSTs’ and UESs’ overall perceptions of their Ed+gineering experiences? Both quantitative (e.g., Engineering Design Process assessment, Science Content Knowledge assessment) and qualitative (student reflections) data were used to assess knowledge gains and project perceptions following the semester-long intervention. Findings suggest that the PSTs were more aware and comfortable with the engineering field following lesson development and delivery, and often better able to explain particular science/engineering concepts. Both PSTs and UESs, but especially the latter, came to realize the importance of planning and preparing lessons to be taught to an audience. UESs reported greater appreciation for the work of educators. PSTs and UESs expressed how they learned to work in groups with multidisciplinary members—this is a valuable lesson for their respective professional careers. Yearly, the Ed+gineering research team will also request and review student retention reports in their respective programs to assess project impact. 
    more » « less
  2. Broadening participation in engineering is critical given the gap between the nation’s need for engineering graduates and its production of them. Efforts to spark interest in engineering among PreK-12 students have increased substantially in recent years as a result. However, past research has demonstrated that interest is not always sufficient to help students pursue engineering majors, particularly for rural students. In many rural communities, influential adults (family, friends, teachers) are often the primary influence on career choice, while factors such as community values, lack of social and cultural capital, limited course availability, and inadequate financial resources act as potential barriers. To account for these contextual factors, this project shifts the focus from individual students to the communities to understand how key stakeholders and organizations support engineering as a major choice and addresses the following questions: RQ1. What do current undergraduate engineering students who graduated from rural high schools describe as influences on their choice to attend college and pursue engineering as a post-secondary major? RQ2. How does the college choice process differ for rural students who enrolled in a 4-year university immediately after graduating from high school and those who transferred from a 2-year institution? RQ3. How do community members describe the resources that serve as key supports as well as the barriers that hinder support in their community? RQ4. What strategies do community members perceive their community should implement to enhance their ability to support engineering as a potential career choice? RQ5. How are these supports transferable or adaptable by other schools? What community-level factors support or inhibit transfer and adaptation? To answer the research questions, we employed a three-phase qualitative study. Phase 1 focused on understanding the experiences and perceptions of current [University Name] students from higher-producing rural schools. Analysis of focus group and interview data with 52 students highlighted the importance of interest and support from influential adults in students’ decision to major in engineering. One key finding from this phase was the importance of community college for many of our participants. Transfer students who attended community college before enrolling at [University Name] discussed the financial influences on their decision and the benefits of higher education much more frequently than their peers. In Phase 2, we used the findings from Phase 1 to conduct interviews within the participants’ home communities. This phase helped triangulate students’ perceptions with the perceptions and practices of others, and, equally importantly, allowed us to understand the goals, attitudes, and experiences of school personnel and local community members as they work with students. Participants from the students’ home communities indicated that there were few opportunities for students to learn more about engineering careers and provided suggestions for how colleges and universities could be more involved with students from their community. Phase 3, scheduled for Spring 2020, will bring the findings from Phases 1 and 2 back to rural communities via two participatory design workshops. These workshops, designed to share our findings and foster collaborative dialogue among the participants, will enable us to explore factors that support or hinder transfer of findings and to identify policies and strategies that would enhance each community’s ability to support engineering as a potential career choice. 
    more » « less
  3. null (Ed.)
    Engineering graduates need a deep understanding of key concepts in addition to technical skills to be successful in the workforce. However, traditional methods of instruction (e.g., lecture) do not foster deep conceptual understanding and make it challenging for students to learn the technical skills, (e.g., professional modeling software), that they need to know. This study builds on prior work to assess engineering students’ conceptual and procedural knowledge. The results provide an insight into how the use of authentic online learning modules influence engineering students’ conceptual knowledge and procedural skills. We designed online active learning modules to support and deepen undergraduate students’ understanding of key concepts in hydrology and water resources engineering (e.g., watershed delineation, rainfall-runoff processes, design storms), as well as their technical skills (e.g., obtaining and interpreting relevant information for a watershed, proficiency using HEC-HMS and HEC-RAS modeling tools). These modules integrated instructional content, real data, and modeling resources to support students’ solving of complex, authentic problems. The purpose of our study was to examine changes in students’ self-reported understanding of concepts and skills after completing these modules. The participants in this study were 32 undergraduate students at a southern U.S. university in a civil engineering senior design course who were assigned four of these active learning modules over the course of one semester to be completed outside of class time. Participants completed the Student Assessment of Learning Gains (SALG) survey immediately before starting the first module (time 1) and after completing the last module (time 2). The SALG is a modifiable survey meant to be specific to the learning tasks that are the focus of instruction. We created versions of the SALG for each module, which asked students to self-report their understanding of concepts and ability to implement skills that are the focus of each module. We calculated learning gains by examining differences in students’ self-reported understanding of concepts and skills from time 1 to time 2. Responses were analyzed using eight paired samples t-tests (two for each module used, concepts and skills). The analyses suggested that students reported gains in both conceptual knowledge and procedural skills. The data also indicated that the students’ self-reported gain in skills was greater than their gain in concepts. This study provides support for enhancing student learning in undergraduate hydrology and water resources engineering courses by connecting conceptual knowledge and procedural skills to complex, real-world problems. 
    more » « less
  4. null (Ed.)
    Engineering graduates need a deep understanding of key concepts in addition to technical skills to be successful in the workforce. However, traditional methods of instruction (e.g., lecture) do not foster deep conceptual understanding and make it challenging for students to learn the technical skills, (e.g., professional modeling software), that they need to know. This study builds on prior work to assess engineering students’ conceptual and procedural knowledge. The results provide an insight into how the use of authentic online learning modules influence engineering students’ conceptual knowledge and procedural skills. We designed online active learning modules to support and deepen undergraduate students’ understanding of key concepts in hydrology and water resources engineering (e.g., watershed delineation, rainfall-runoff processes, design storms), as well as their technical skills (e.g., obtaining and interpreting relevant information for a watershed, proficiency using HEC-HMS and HEC-RAS modeling tools). These modules integrated instructional content, real data, and modeling resources to support students’ solving of complex, authentic problems. The purpose of our study was to examine changes in students’ self-reported understanding of concepts and skills after completing these modules. The participants in this study were 32 undergraduate students at a southern U.S. university in a civil engineering senior design course who were assigned four of these active learning modules over the course of one semester to be completed outside of class time. Participants completed the Student Assessment of Learning Gains (SALG) survey immediately before starting the first module (time 1) and after completing the last module (time 2). The SALG is a modifiable survey meant to be specific to the learning tasks that are the focus of instruction. We created versions of the SALG for each module, which asked students to self-report their understanding of concepts and ability to implement skills that are the focus of each module. We calculated learning gains by examining differences in students’ self-reported understanding of concepts and skills from time 1 to time 2. Responses were analyzed using eight paired samples t-tests (two for each module used, concepts and skills). The analyses suggested that students reported gains in both conceptual knowledge and procedural skills. The data also indicated that the students’ self-reported gain in skills was greater than their gain in concepts. This study provides support for enhancing student learning in undergraduate hydrology and water resources engineering courses by connecting conceptual knowledge and procedural skills to complex, real-world problems. 
    more » « less
  5. Responding to the need to teach remotely due to COVID-19, we used readily available computational approaches (and developed associated tutorials (https://mdh-cures-community.squarespace.com/virtual-cures-and-ures)) to teach virtual Course-Based Undergraduate Research Experience (CURE) laboratories that fulfil generally accepted main components of CUREs or Undergraduate Research Experiences (UREs): Scientific Background, Hypothesis Development, Proposal, Experiments, Teamwork, Data Analysis, Conclusions, and Presentation1. We then developed and taught remotely, in three phases, protein-centric CURE activities that are adaptable to virtually any protein, emphasizing contributions of noncovalent interactions to structure, binding and catalysis (an ASBMB learning framework2 foundational concept). The courses had five learning goals (unchanged in the virtual format),focused on i) use of primary literature and bioinformatics, ii) the roles of non-covalent interactions, iii) keeping accurate laboratory notebooks, iv) hypothesis development and research proposal writing, and, v) presenting the project and drawing evidence based conclusions The first phase, Developing a Research Proposal, contains three modules, and develops hallmarks of a good student-developed hypothesis using available literature (PubMed3) and preliminary observations obtained using bioinformatics, Module 1: Using Primary Literature and Data Bases (Protein Data Base4, Blast5 and Clustal Omega6), Module 2: Molecular Visualization (PyMol7 and Chimera8), culminating in a research proposal (Module 3). Provided rubrics guide student expectations. In the second phase, Preparing the Proteins, students prepared necessary proteins and mutants using Module 4: Creating and Validating Models, which leads users through creating mutants with PyMol, homology modeling with Phyre29 or Missense10, energy minimization using RefineD11 or ModRefiner12, and structure validation using MolProbity13. In the third phase, Computational Experimental Approaches to Explore the Questions developed from the Hypothesis, students selected appropriate tools to perform their experiments, chosen from computational techniques suitable for a CURE laboratory class taught remotely. Questions, paired with computational approaches were selected from Modules 5: Exploring Titratable Groups in a Protein using H++14, 6: Exploring Small Molecule Ligand Binding (with SwissDock15), 7: Exploring Protein-Protein Interaction (with HawkDock16), 8: Detecting and Exploring Potential Binding Sites on a Protein (with POCASA17 and SwissDock), and 9: Structure-Activity Relationships of Ligand Binding & Drug Design (with SwissDock, Open Eye18 or the Molecular Operating Environment (MOE)19). All involve freely available computational approaches on publicly accessible web-based servers around the world (with the exception of MOE). Original literature/Journal club activities on approaches helped students suggest tie-ins to wet lab experiments they could conduct in the future to complement their computational approaches. This approach allowed us to continue using high impact CURE teaching, without changing our course learning goals. Quantitative data (including replicates) was collected and analyzed during regular class periods. Students developed evidence-based conclusions and related them to their research questions and hypotheses. Projects culminated in a presentation where faculty feedback was facilitated with the Virtual Presentation platform from QUBES20 These computational approaches are readily adaptable for topics accessible for first to senior year classes and individual research projects (UREs). We used them in both partial and full semester CUREs in various institutional settings. We believe this format can benefit faculty and students from a wide variety of teaching institutions under conditions where remote teaching is necessary. 
    more » « less