educational innovation moves from the home institution to otherinstitutions with different faculty, different students and a different culture. In analogy tomolecular diffusion, E.M. Rogers put forth a theory, Diffusion of Innovations, that offers oneframework with which to examine this process. In this context, Rogers describes diffusion as“the process in which an innovation is communicated through certain channels over time amongthe members of a social system. (p. 5)”1 We focus on one aspect of diffusion, the innovation-decision process, which describes five stages the potential user goes through as they decidewhether to adopt a new innovation: knowledge, persuasion, decision, implementation, andconfirmation.1Conceptual learning is critical to
direct comparison of time commitments for the course, but it does appearthat time devoted to experimental laboratory work was comparable to that spent on lecture andcalculation laboratories in the first design course, but significantly less important in the secondcourse.Class DetailsThe typical size of a class section as reported by instructors was around 45 students, with someclasses as large as 130. The distribution of class sizes is presented as Figure 1. Page 23.675.3 30 Number of respondents 25 20 15 10
, Jr. is an Assistant Professor of Chemical Engineering at Nazarbayev University. Page 23.700.1 c American Society for Engineering Education, 2013Implementation of State-of-the-Art Learning Tools in the School of Engineering at Nazarbayev University in the Post-Soviet Republic of Kazakhstan Sayara Saliyeva1, 2, Dinara McLaughlin3, Moulay Rachid Babaa1, Hella Tokos1, Stefaan Simons4, Sarim Al-Zubaidy5, and Joseph Anthony Menicucci Jr.1, † 1. Department of Chemical Engineering, School of Engineering, Nazarbayev University. 53 Kabanbay Batyr Avenue, Astana, Kazakhstan 010000; 2. School
XP). Assignments and reports were as described above,only now each experiment was worth 1000 XP (for a 3000 XP total). Students began thesemester at Level 1, and every 300 XP they earned increased their level by 1. While these levelsdid not necessarily correlate to letter grades to allow for grade scaling, students were told that thehigher their final level, the higher their grade in the course will be. This method of gamifying aclass has been used previously and has been shown to be effective9. It was thought that thiswould be effective for the laboratory class, as students would be encouraged by the desire to earnmore points, rather than demotivated by the fear of losing points. Furthermore, it was
modules are completed, students should: 1. Have a working knowledge on regulatory compliance through good laboratory practices training. 2. Have a working knowledge on safety compliance, risk assessment, and hazard mitigation in a laboratory environment. 3. Understand the risks of regulatory and safety non-compliance. 4. Have functional knowledge to work with professionals in RC and SC areas. 5. Have the ability to write and understand RC and SC documentation. 6. Understand the interplay between technical aspects and compliance aspects of CHE profession.General teaching methodology RC and SC modules are designed to be used in lecture, laboratory or design courses. Allinstruction in these modules was done through
implementing amore rigorous safety review, requiring compilation of specific tables and lists to help studentsgive the safety component of the experiments particular consideration. Whereas past emphasishas been on personal safety, we are expanding the view to include process safety.To avoid making the process too time consuming, four of the five experiments students performover the course of the semester require a basic safety review, and a compilation of general safetyinformation and precautions. Only one of the experiments, involving the more complex stands,requires the thorough safety review intended to mimic the PHA methodology. The specificrequirements for both basic and thorough safety reviews are listed below. Tables 1 through 4specify the
schools: New Jersey Institute of Technology, PurdueUniversity and University of Puerto Rico-Mayaguez). The goal of this educational partnershiphas been to develop and disseminate undergraduate materials related to pharmaceuticaltechnology and to seek ways to integrate this into the undergraduate engineering curriculum.1-3Pilot testing at X University, including the use of some of the materials in the FreshmanChemical Engineering course at the State University of New York-Stony Brook,4 has yieldedpositive assessment results. This work has resulted in the development of classroom problems,laboratory experiments and demonstrations that can be used throughout the undergraduateengineering curriculum and for K-12 outreach. The results have been
communication skills.Pharmaceutical EngineeringBranching out from chemical engineering, pharmaceutical engineering has recently emerged as anew formal academic discipline [1]. Universities such as Rutgers University and New JerseyInstitute of Technology have begun to offer graduate programs to help complement thepharmaceutical industry based in New Jersey [2,3]. In recent years, many graduates of The Page 23.819.2Cooper Union have gone into careers in the pharmaceutical industry. This has led the leadauthor to develop new courses and research thrusts in this area. To complement this initiative, aK-12 outreach program was developed in pharmaceutical
chemistry students.14 A chi-square test wasutilized for dichotomous variables to assess whether there is a statistically significant differencein the responses of the two groups.15 A Wilcoxon rank-sum test was used for all Likert-typequestions.16 For all tests performed in this analysis, the maximum probability of Type-I error (e.g.a false positive result) that was permitted was 5%. Note that only survey items pertaining tostudent preparation, background, and attitudes was analyzed in this paper. All analyses wereconducted using the statistical software system R.17Results /DiscussionThe results of the various t-tests and Wilcoxon rank-sum tests are summarized in Table 1, and theresults of the chi-square tests are summarized in Table 2. Only tests
ofstudent involvement, classroom morale, and, ultimately, the learning that occurred in my classes.In Fall 2012, I had the opportunity to teach two sections of a junior-level heat transfer courseusing different pedagogies: (1) the traditional, lecture-based approach with some active-learningand (2) a modified PBL approach. My modified course alternates mini-lectures and studentproblems in a "leap frog" style. This class meets for 3 hours, once a week. Lectures are very briefand dispersed throughout the class meeting time. Students work problems and conduct briefexperiments in class. Their results are shared and unusual results are discussed. Lecture timehelps summarize these results and propel the class to the next topic. Homework reflects
posttest scores significantly improved after the administration of conceptgroup exercises. The answers obtained from the groups were discussed in the class and thosegroups with incorrect answers were helped by the instructor and other student groups. Thesuccessful outcome of this effort was that the entire class reasonably attained the same level ofunderstanding of the subject matter.1. IntroductionContinuous learning improvement is highly desired to develop thorough understanding of thesubject matter, which can be achieved by active/collaborative learning strategies. Collaborativelearning concepts involving the grouping and pairing of students for the purpose of achieving anacademic goal has been researched and promoted throughout the education
who wasn’t really contributing to the team would be unable to articulate how the team solved a problem. The following sections present efforts to assess the effectiveness of using Page 23.467.3the abstracts. Experimental and Control Groups In 2011, Principles of Chemical Processes I was taught in a single section, and 40 students completed the course. In 2012, the course was taught in two sections: section 1, with 24 students, was taught by the 2011 instructor, and section 2, with 27 students, was taught by an instructor who had never taught the course before. Since the 2011 cohort was not required to complete homework problem
withemphasis on numerical analysis and numerical methods and a 1 credit hour laboratory added tothe existing Process Design course where process simulation would be explored. However, thisapproach resulted in a disconnect between the calculations/concepts learned in earlier coursesand learning how they are implemented in the process simulation software. Within the processsimulation laboratory, there was not sufficient time to review the calculations/concepts learnedearlier as well as provide instruction regarding use of process simulator for design-orientedactivities.Approach to Incorporating Process Simulation Activities into a CurriculumThe structure of process simulation software lends itself to a distributed instructional approach.Since each
(1) xThe convective heat transfer rate qh external to an object is also given in units ofW/m2 and is governed by the magnitude of the heat transfer coefficient h and thetemperature difference between the surface temperature T and the temperature of thefluid Tf. qh h(T T f ) (2)Extrapolating the concept to transient conduction leads to significant complicationsfor the student. In addition to the thermal conductivity, the material density and heatcapacity are important parameters. Visualizing the impact of the solution with changesin different parameters is also challenging. The most common system is a large flatplate of thickness 2L, with the system
Integrating Biofuel Education into Chemical Engineering Curriculum Q. Peter He1*, Rong Zhang2, Jin Wang2*, Frank Armstead III1, Rong Walburn2, Julius L. Taylor1 and Donald R. Johnson1 1 Department of Chemical Engineering Tuskegee University, Tuskegee, AL 36088 2 Department of Chemical Engineering Auburn University, Auburn, AL 36849Abstract: In view of potential demand for skilled engineers and competent researchers in thebiofuel field, we have identified a significant gap between advanced biofuel research andundergraduate
semester of 2012. The outline of the course is shown in Table 1. Table1: Course Outline for Chemical Process Simulation Course Week Topics Problem Set Course introduction Introduction to steady-state simulators 1 Structure of software interface Setting up a simulation Specifying conditions and thermodynamics Regressing thermodynamic data 2 Solution methods 1 Specifying equipment parameters
semester a course objectives worksheet is provided to each student whichindicates the ABET criteria which will be covered over the course of the semester. Although is itunlikely that a single freshman engineering course can prepare students to satisfy ABET criteria,it is a useful tool to gauge students’ progress in their ability to utilize key engineering conceptsand thought process. To this end, students are asked to provide a self-assessment, via a survey oftheir progress in key ABET areas, which were part of the course. Course survey results fromthree semesters are provided in Table 1 (the author was the course instructor for each of thesesemesters). This data is used to assess if there was a difference in the student’s perception of
Figure 1, the heart of the apparatus is a 10 foot section of ¼ inch schedule 40stainless steel, straight, horizontal pipe and a differential pressure gage for studying pressuredrop at various flow conditions. Compressed air from our house air line (usually between 65 and75 psig) is regulated at pressures up to 60 psig as it enters the system. Flows up to 11 SCFM arepossible depending on the operating pressure and are established via a combination of pressureregulator and flow control valve settings. Also shown in Figure 1, are four flow meters, aninline heater, a PID temperature controller, a vortex tube, and a turbine that have been includedto facilitate a variety of further studies. This equipment was relatively inexpensive as shown inthe
A, B A, B, C A, B, C B B B B, C C B, C C (a) (b)Figure 1. Two sets of distillation sequences including (a) a traditional sequence with threesimple columns, and (b) a fully coupled sequence as represented by the Petlyuk columnarrangement
Page 23.189.5of soap needed to provide the college with soap for a year. The relevant data for the cost analysisis shown in Table 1. Table 1. Cost to Produce Liquid Soap on Campus Item Quantity Price Total Plastic Soap Dispenser 75 $3 $225 Total Packaging Costs $225 Glycerin 500 L $0 $0 Water 250 L $0 $0 Potassium hydroxide (2lbs) 60 $8 $480 Lavender Scent (1lb) 16 $27
schemadevelopment. Having constructed a robust schema for different kinds of problems, learners arebetter able to transfer their problem-solving skills. Learning to solve problems requires practicein solving problems, not learning about problem solving2. PSLEs assume that learners mustengage with problems and attempt to construct schemas of problems, learn about theircomplexity, and mentally wrestle with alternative solutions2, 9. Hence, we built PSLEs to engageand support students in learning how to solve problems by practicing solving problems3.PSLEs were developed by following the design activities proposed by Jonassen2: 1) First weinteracted with the teacher of the studied course to identify and articulate problems relevant tothe discipline; 2) We
rating communication among the top five most importantengineering skills, in a recent study reported in Enabling Engineering Student Success.1 Page 23.234.2Communication skills for engineers have been a focus of many prior papers and reports thatfocus on communication in the engineering workplace,2 development of written communicationskills,3 oral communication skills, 4 and international and global communications.5 The ABETEngineering Accreditation Commission has established communication skills as a StudentOutcome for all accredited engineering programs in Outcome g: an ability to communicateeffectively. 6This need to educate engineering
scores factored in.Results and DiscussionFor the following comparisons, the entire population of the Spring 2012 course (n=39) is used. Aone-sample t-test is conducted on the population correlation coefficient to determine if there is astatistically significant correlation between the adjustment factors computed by both CATMEand the point division method.Point Division vs. CATME (including self-evaluation)Figure 1 shows the results of student ratings including their own self-assessment scores in thecomputation. There are fourteen students who received ratings of 1.05 from the CATME Page 23.32.4computation and eight students with ratings of 1.0
to its highviscosity. Transesterification converts the high viscosity oil into 3 biodiesel molecules withviscosity and other properties similar to those of petroleum diesel fuel1. The overall reaction forproduction of biodiesel from vegetable oil is Triglycerides + 3 Methanol Glycerol + 3 Methyl Esters (1)Vegetable oil is primarily composed of triglycerides with long chain aliphatic groups of the formCH3(CH2)7CH=CH(CH2)7, but different types of oils have different amounts of saturated andunsaturated fats of various types2. The methyl esters, also called fatty acid methyl esters(FAMEs), are the biodiesel product we seek. The reaction can be either base-catalyzed or acid-catalyzed.The apparent simplicity of
analysis using the same rote problem-solution procedures specified in the lecture. Thistype of “plug-and-chug” approach only requires students to (1) remember the problem-solutionprocedure, (2) understand how to apply the problem-solution procedure, and (3) apply theprocedure to the given data. While this approach can be used to evaluate students’ application ofstatistical concepts to engineering data, due to its deficiencies students often struggle tounderstand the relationship between statistics and the real-life processes to which they will beapplying statistics in their careers.A particular concept in engineering statistics for which the rote problem-solution approach isespecially poor is the subject of design of experiments (DOE). The DOE
activities for K-12, particularly with Girl Scouts and students from rural areas. Page 23.885.1 c American Society for Engineering Education, 2013 Mapping Rural Students’ STEM Involvement: Case Studies of Chemical Engineering Undergraduate Enrollment in the States of Illinois and Kansas1. IntroductionMany, including The National Academies 1, President Obama’s Administration 2, and technicalindustry leaders 3, have recently called for improving the participation and performance ofAmerica’s students in science, technology, engineering, and math (STEM) to maintain
. Upon identification and classification utilizing Bloom’s taxonomy andqualitative software analysis, these conceptual difficulties are used to develop a worksheet toaccompany a bends and pipes and a Venturi meter hands-on DLM. A within-design study is thenapplied to a fluid mechanics class, with one group receiving treatment using the hands-onlearning bends and pipes module and the other section receiving treatment with the Venturimeter. In both cases, the untreated group receives traditional lecture as opposed to a hands-onexperience. The timeline of this study can be viewed in Table 1.Table 1: Timeline outlining individual tasks performed for this study. Timeline and Methods Task
mainstreampopularity of food science shows such as Good Eats and techie food blogs and Pinterestsites. Not only is there general interest in the chemical mechanisms behind “typical”food, but molecular gastronomy as a high-end cooking approach (as seen in thegroundbreaking el Buli and Alinea restaurants) is generating significant interest. Whilethe fraction of chemical engineering graduates going into the food and consumer productssector has held relatively constant at 10-20% for decades (1), at our institution thefraction of our graduates heading into such industry has increased from slightly below thenational average to slightly greater during the past decade. At 15-25% of our graduates,the fraction is comparable to that going into pharmaceutical/bioprocess
practical pieces to relate to.Students’ feedback at the end of the year (2006-2009, 2011) noted disconnects between theoryand real world examples, complaints about the mathematics/equations used throughout thecourse, and finally not enjoying the textbook by Smith and Van Ness[1]. During the Fall semester,2012, we developed a new approach to the course with two goals: 1) students will actively readthe book[2], 2) students will reflect on thermodynamic learning[3] and also self-assess learningtechniques.In previous years, the Thermodynamics class at our University would consist of a typical lecture,followed by solving problems in group format. This semester, class time changed to a readingactivity, followed by a concept clarity feedback, and then
choosewhich topic was most interesting and join the team. Timing was such that the first item (theAgreement of Cooperation19) was due at the end of the first week of class so that the teams werestarted quickly with a clear, immediately milestone. Feedback was given on these agreements sothat students had all discussed how to deal with conflict, differing work ethic, and how to bestrespect each other’s ideas. The schedule and plan of progress reports were outlined in thesyllabus on the first day of class for the students. The progress reports were: • Team’s Agreement of Cooperation: Outline goals and guidelines of group participation. • Progress Report 1: Introductory description of proposed, novel analytical