ASEE paper (Chenetteand Ribera, 2016)1.MethodologyThis study expands upon a preliminary study that aimed to uncover the extent to whichstructured written reflection activities play a role in facilitating conceptual change for students ina fundamental heat transfer course. Established instructional methods based on inductive-learning guided the prediction activities used in this study5,9.This experimental design is an extension of the preliminary work, and is considered quasi-experimental (students were not randomly assigned to different sections). It includes traditionalinstruction (X1), in-class prediction activities (X2), and written reflection activities (X3), acrossvarious cohorts, as shown in Table 1. A pre- and post-test HECI (O1) and an
explosions killedcrews of seven and the Mars orbiter explosion cost NASA $125 million.1,2 These catastrophicevents have one thing in common – miscommunication between engineers and other projectmembers. In the hotel walkway disaster, a structural engineer submitted preliminary drawingsthat were taken to be final from the steel fabricator.1 Internal flight safety problems werebypassed and miscommunication between engineering and management foolishly launched aspacecraft based on incomplete and misleading information, causing the Space Shuttleexplosions.1 The Mars orbiter disintegrated because of a mismatch in units between groundcontrol and the actual spacecraft.3 When there is miscommunication between engineers and otherindividuals involved in
full interactivity. In addition, student usage and readingrates can thus quantify usefulness and quickly guide further development to improve studentlearning outcomes.The dearth of available reading data for higher education students has been discussed in previouscontributions in this area recently [1-3], and will not be elaborated upon here. Alternatively, digitalclassroom technologies provide more data to students and instructors than any previous period inhigher education. From downloads of documents, page views in a course management system, orclicker responses in class, the ubiquitous term “big data” applies in most modern higher educationclassrooms.Interactivity is central to collecting large data sets. The interactive textbook discussed
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practice, the School of Chemical, Biological, and Environmental Engineeringat Oregon State University is implementing a new activity design in its studio classes [1]. Tencore courses (e.g., material and energy balances, thermodynamics, transport, and chemicalreaction engineering) have incorporated weekly studios into the instructional architecture. Instudios, students work together in mostly 3-person groups, facilitated by trained graduate studentteaching assistants (GTAs), undergraduate learning assistants (LAs), and the course instructor.Studios are designed to extend students’ thinking and problem-solving techniques whilesimultaneously reinforcing core content and developing teamwork and communication skills [2].In its original design, Studio
, and in the Chemical & Biological Engineering Department. She served as Co-PI on an NSF RET Grant and a USDA NIFA grant, and is currently co-PI on three NSF-funded projects in engineering and computer science education, including a Revolutioniz- ing Engineering Departments project. She was selected as a National Academy of Education / Spencer Postdoctoral Fellow. Dr. Svihla studies learning in authentic, real world conditions; this includes a two- strand research program focused on (1) authentic assessment, often aided by interactive technology, and (2) design learning, in which she studies engineers designing devices, scientists designing investigations, teachers designing learning experiences and students
videos, which are publiclyavailable, that include examples of both prohibited behavior and encouraged behavior forindividual assignments. All scenarios now reference examples in calculus, chemistry, and physicscourse to make them more widely applicable across a broader range of science and engineeringdisciplines. The authors offer suggestions on how to utilize the videos along with additionalacademic integrity-related resources, such as syllabus language, a reflection assignment, anassignment cover sheet, and a form prohibiting sharing course-related documents.1. IntroductionAcademic integrity issues are among the most stressful that faculty face, and the statistics onstudent cheating rates and attitudes about cheating are troubling [1][2][3
industrial-scale system that operates based on theconcepts previously introduced. Design then allows for the broadest application of experientiallearning. This stage drives students to create an experiment answering a specific problem, or finda solution to a specific challenge dealing with fundamental properties; Design effectivelyincorporates inquiry, discovery, experimental methods, open-ended problem identification, andsolution. Overall, the 3-D approach integrates hands-on experiences with lecture learning,laboratory courses and in-class demonstrations/projects to give students the knowledge andexperience necessary to be strong problem solvers with a grasp on curiosity and the importance oflife-long learning.1-4At Northeastern, the two semesters
maintained through thesemester. The faculty in the courses are each responsible for applying the rubrics for their ownprojects and reports. Only the oral (or video) presentation rubric is currently used by multiplepeople to evaluate the same group submission.Rubrics are used in general to clarify expectations for students, and to help identify specificallywhere students can improve in their work. There are two core elements of a rubric: criteria andstandards [1]. The criteria are the features or characteristics that are evaluated, and the standardsare identifiable levels of quality. Stevens and Levi [2] provide considerable detail in rubricconstruction. Most of their examples result in rubrics with four to six criteria, usually scoredacross three
, development and assessment strategies for the courses have been documented inprevious work [1-3]. The first course in the module, Core ChE Concepts: I, was offered for thefirst time in the Fall 2018 semester. A concerted effort was made to evaluate students’experiences in the course using both direct assessment (i.e. student academic performance) usingproblem-by-problem scoring metrics and indirect assessment (e.g. task value, engagement, self-efficacy) through validated pedagogical inventories emerging from relevant theoreticalframeworks. Indirect assessments were collected at the beginning, middle and end of the course,while direct assessments were made continuously.This work presents the results of these direct and indirect assessments as well as
.Changes in industry trends are the primary cause for the addition of different areas in the ChemEcurriculum such as the need for large-scale production of commodities chemicals, productdevelopment, pharmaceuticals, and bioengineering [1]. However, there are many hurdles tocompletely invigorate the ChemE curriculum. Some examples may include accreditation, coursecredit limits, maintaining consistency with the rest of the universities, among others. Manyengineering disciplines have addressed these challenges by adding non-traditional learningexperiences such as research experiences, cooperative learning, project-based learning, servicelearning, and experiential learning [2].Conventional wisdom advocates that engineering student’s involvement in
and curricula. Through this, we hope to enable more informed course andcurriculum design throughout the chemical engineering community. The 2018 survey focusedon “Thermodynamics,” a core engineering science. Thermodynamics is perhaps the topic fromthe chemical engineering core with the best available prior documentation, having been treatedby the AIChE Survey Committee in 1973, 1976, 1982, and 1992 (1–4), and having been studiedat some depth by an international group lead by Ahlstrom in 2010 (5).MethodsThe survey contained 40 mostly multiple-choice questions about undergraduate thermodynamicsinstruction. An electronic copy of the survey questions is available from the correspondingauthor upon request. Invitation links to the online survey
and formulas than more advanced topics, such as integration andinterpolation.IntroductionSpreadsheets are common in home and professional life from budget spreadsheets to engineeringcalculations. Leveraging the ability to efficiently organize, calculate, and plot, spreadsheets havebecome commodities after decades of use. While the history of spreadsheets centers on MicrosoftExcel as computer software, e.g., [1], the growth of open source and online spreadsheets, such asGoogle Sheets, fuels the current growth and ubiquity of spreadsheets.Spreadsheet education and training resources are abundant on the Internet. Any web search usingterms such as spreadsheet, excel, or MS Excel yield hundreds or thousands of online resources,many free of charge
-worldapplications, demonstrations, and/or hands-on experimentation. However, some concepts’ depth andcomplexity can cause all traditional attempts to be unsuccessful, particularly for concepts withoutobvious visual representation such as fugacity, and given the non-visual nature of equations.1 Improving and broadening visual instruction is beneficial for learners beyond those with aperceived inclination for visual learning. Studies have shown combining text with images improvesretention of the information,2,3 and students can better transfer the gained knowledge towards solvingproblems when the instruction is delivered through a multimedia presentation of concepts.4 In order toimprove chemical engineering instruction, developing better visual
score = 3.5/5 over past three offerings) which was believed to be a function of studentsnot adequately engaging with the course material and appreciating its relevance.It is widely accepted that active learning approaches, including project-based learning, canimprove student engagement and achievement of course-level student outcomes [1-2]. Project-based learning works to emulate professional behavior, in this case of the engineer, allowing forstudents to apply knowledge in a manner that could be transferred to a professional setting [3].Project based learning has been shown to bring about increased motivation and positive attitudesfrom students as well as a perception that course objectives are being met [3-4]. Incorporatingcontextual learning
(from sophomores to graduate student TAs to faculty), but alsoproduce a new generation of alumni better equipped to work in today’s marketplace, whether Page 24.1384.2they choose to work within an existing company or venture out on their own.Rationale for Product Innovation SequenceInnovation is critical to the US economy, a hypothesis advanced by a seemingly endless series ofarticles, reports and blogs.1, 2, 3, 4 The president firmly believes in this message and hasformalized it through “A Strategy for American Innovation: Securing our Economic Growth andProsperity.”5 Here he notes “America’s future economic growth and
field of expertise.The class is divided into four main sections: 1) drug distribution and delivery in the body anddrug interactions with the body: challenges and specific aspects of biotherapeutics; 2) drugdelivery systems and nanocarriers; 3) targeted and smart DDS; cellular delivery; and 4)translational aspects of DDS. The main project for the class is a group assignment for a proposalon a new drug delivery system. The students read current journal articles on drug deliverysystems and discuss their ideas with classmates and faculty. The groups submit several versionsof their proposal, and the second draft is read by several groups in a peer review process similarto an NIH or NSF grant review process. The peer review process is very beneficial
ACE inhibitor drugs benazepril and cilazapril and two cases of patientkidney function (KF): normal and impaired. To provide a simulation tool for our target audienceof educators and students, we created an interactive graphical user interface (GUI) in MATLABfor manipulating the input parameters under various scenarios and viewing the dynamic modeloutput on plots (Figure 1). We packaged the model code, GUI, and the parameter sets into aMATLAB app that enables a single download for all the associated files for the model and theGUI. We have made app freely available online30. After download, the program opens with oneclick from the app panel in MATLAB. Even for students with little to no programmingexperience, this is very approachable. It only
create your own. I suggest the following two questions: (1) “Whatdoes the instructor do that helps you to learn?” and (2) “What in the course is getting in the wayof your learning?” Framing it around learning rather than what students like might yield morespecific and actionable feedback. I would avoid asking them “How can I teach better?” Someinstructors also use the same questions that will appear on the end-of-term evaluations so thatthey know what students are thinking about those issues. Be sure to follow up with studentsabout a few (you can pick which!) of the things that you learned and how you plan to address thefeedback. Another idea is to ask a colleague or a CTL staff member to observe your teaching.You can ask them to look at some
. From these analyses, twovariables emerged as highly predictive of student performance: scores on peer evaluations andhomework submission timeliness. This relationship remains strong even when the measure ofstudent performance is adjusted so that student peer evaluations and late penalties on homeworkassignments do not directly factor into their adjusted overall score. We discuss potentialexplanations for and practical implications of this result.BackgroundBeginning in Spring 2013 we implemented a new freshman-level chemical engineeringlaboratory course [1, 2]. In this course, students work on open-ended product and process designprojects in teams of three to four. We use many different presentation techniques in order to caterto different
challenge and is common to nearly all Unit OperationsLaboratory courses – in a recent survey, 69 out of 70 programs reported that their Unit Opsstudents work in teams [1]. This means that Unit Ops courses must have a strategy for placingstudents into teams, which by itself is a difficult problem and an active area of research.Instructors have several options for assigning teams. One is team self-selection (allowing studentsto choose their own groups), which requires minimal effort on the part of the instructor. However,there are several drawbacks associated with self-selection, including bad student experiences,team homogeneity, clique behavior, and negative effects on students’ perception of many aspectsof the course. These are well-summarized by
engineering. MATLAB and Python aretaught side-by-side throughout the course. The paper describes the course with the goal ofenabling other educators to adapt and reuse the course content.IntroductionMany STEM programs offer an introductory computer programming course to undergraduatestudents. This type of course typically focuses on details of a specific software or language,functional programming in a procedural or object-oriented paradigm, and the use of conditionalstatements and loops with basic data structures. A variety of languages are taught in suchintroductory courses as STEM educators have debated which is the “best” programminglanguage to teach university STEM students[1-5]. Some undergraduate and graduate programsalso include one or more
the Colorado School of MinesThe results of a 2017 comprehensive survey of 70 programs [1] revealed that the unit opslaboratory course offered during a 6-week summer “Field Session” at the Colorado School ofMines is an outlier from other U.S. programs in many ways. The biggest differences betweenthis course and the typical unit ops course run concurrently with other courses are the immersiveexperience and the extent and nature of the real-time formative and summative assessmentsprovided. Students and faculty work full- or close to full-time (students ~40-60+ and faculty~30-40+ hours per week) exclusively on this course. This level of personal interaction &feedback, and the ways in which they are conducted, build connections and community
outcomes c (an ability to design a system to meetdesired needs [new ABET student outcome 2]), d (an ability to function on a team [new ABETstudent outcome 5]), and g (an ability to communicate effectively [new ABET student outcome3], which our program has allied with this sequence of senior design courses [1]. There are alsoa number of secondary objectives that are fulfilled in this design course sequence. These includerecognizing and addressing process safety issues, developing people skills, and introducingtopics relevant to the impending student transition from the academic environment to theprofessional environment, such as the need for life-long learning and the benefits of professionalregistration for chemical engineers. Observations of
LearnersBackgroundWhile the percentage of Science, Technology, Engineering, and Mathematics (STEM) majorscontinues to decline in the United States, the ongoing shortages of under-represented groups andminorities remain for these majors and in the workforce [1-2]. Addressing diversity barriers orchallenges are paramount in engineering education as racial, gender, and ethnic biasesmarginalize under-represented students like African Americans, students of low socio-economicstatus, women, and Hispanics. These negative perceptions and stereotypes of under-representedstudents have reportedly affected student learning and performance [3]. The lack of inclusion orhaving a sense of belonging can occur in the classroom from the remarks of students orinstructors via
thinkthose questions are still really important. and I think that having them enhanced my learning, butthey're just not quite as like in depth or the detail problems and solutions that we do.”The combination of clicker and verbal questions invite students to engage during class time.While Angela perceived these questions to be simpler, she believed they helped her to reviewprior content and quickly practice what she learned. Carlo would likely add how these questionshelped Angela develop confidence in her abilities.Future WorkFrom classroom observations, the instructor used Top Hat questions to 1) assess student learningand 2) the beginning of questioning sequences (IRE) to further discuss content. These classroomquestioning sequences are to be
Across Institution and ProgramTypesIntroductionThe use of alternative and complimentary learning methods to aid in student comprehension ofengineering concepts has been explored for the past several decades. While think-pair-share iscommonly used and has proven to be an effective learning method [1], hands-on learning methodshave been gaining notoriety due to their potential for being more applicable to engineering students[2], as the majority of these students tend to be active or kinesthetic learners [3]. To support thismode of learning, Low Cost Desktop Learning Modules (LC-DLMs) were created at WashingtonState University (WSU). The LC-DLMs are hands-on apparatuses in which activities associatedwith them may be used to supplement lecture
content found in the original instrument. This approach madethe survey completion time more reasonable for the content experts. Proper human subjectapproval was obtained prior to conducting the study.Dilemma ReviewContent experts from the chemical industry and individuals holding chemical engineering facultypositions were asked to rate the dilemmas’ relevance to real-life engineering process safetysituations. Content experts could rate the dilemma as not relevant (1), moderately relevant (2), orvery relevant (3). Content experts were also asked to provide feedback on dilemmas they rated asnot relevant, or moderately relevant. Once the surveys were completed, the researchers averagedthe scores to determine whether or not a dilemma should be
Education, 2018 Work-in-Progress: A Framework for Development of Web-based Multimedia Pre-laboratory ExercisesIntroductionEngineering is an applied discipline, and therefore, undergraduate laboratories are considered anessential part of engineering curriculum [1], [2]. Laboratories help reinforce theoretical concepts[3], and improve skills such as problem solving, analytical thinking and technical skills [4]-[6].Other benefits include learning professional skills such as time management, teamwork, effectivewriting and oral communication skills [7]-[11].Despite the potential value of undergraduate laboratories, there is a general agreement that theactual learning outcomes often do not balance the time, effort, and money
on protein and peptide design. c American Society for Engineering Education, 2018 Work in Progress: Identifying Current Outcomes and Addressing the Need for Process Safety Education in Unit Operations CoursesIntroductionIndustry leaders are concerned about the lack of safety education in chemical engineering due tochemical engineers working with a variety of hazardous chemicals that can cause harm to theindividual, the surrounding community and the environment [1]. The concern is furthermotivated by the 12 current and completed Chemical Safety Board fire, explosion and chemicalrelease investigations reported between February of 2017 and January of 2018 [2].To address these concerns in education