networking and new media in support of innovative STEM K-12 education. Any Page 23.1337.13opinions, findings, and conclusions or recommendations expressed in this material are those ofthe author and do not necessarily reflect the views of the funding agencies.References:1. Perez, S., & Dorman, S. M. (2001). “Enhancing Youth Achievement through Telementoring,” Journal of School Health, 71(3), pp. 122-123.2. Cravens, J. (2003). “Online Mentoring: Programs and Suggested Practices as of February 2001,” Journal of Technology in Human Services, 21(1/2), pp. 85-109.3. O’Neill, D. K., & Harris, J. B., (Winter 2004-2005) “Bridging the
reflects that student learning in these areas was better.Table 4: Pre-test at RMU (in %) Table 5: Post-test at RMU (in %)Responsesè ResponsesèQuestions ê a b c d Questions ê a b c d Q1 25 25 50 0 Q1 13 38 50 0 Q2 100 0 0 0 Q2 100 0 0 0 Q3 50 50 0 - Q3 0 100 0 - Q4 88 13 0 - Q4 25 75 0 - Q5 63 38 - - Q5 100
reflect functional capacity.Water Utility Management and Human Intended to provide the learner with anRelations overview of the management and human relations aspects of water and wastewater utilities. A learner in this course will gain industry-based insight into the special operations and management functions of a water or wastewater utility with emphasis on the human relations activity.Modern Technology & Water
than institutionalized spaces, reflecting the way the young generation is ableto handle the want for advanced technology and the need for comfortable spaces. Spaces aredesigned with the young women in mind. They exhibit splashes of color, extensive art work andnon-traditional furniture. Quiet spaces are complemented with “sukoon” and “mummy’s” roomsdedicated to short naps and breast-feeding simultaneously.The third and final problem addressed by the WiSE Program is the issue of working in a male-dominated industry like the oil and gas industry especially in the Middle East. While this issueseems to be the same in most countries, it is quite different for the PI since all our students areexpected to work for the local oil and gas industry. This
morerandom variables are cointegrated if each of the series is themselves non-stationary, and theyhave a long run equilibrium relationship among the variables [15]. The purpose of theCointegration tests is to determine whether a group of non - stationary series is cointegrated or not. We have to examine whether or not there exists a long run relationship between variables (stableand non-spurious co-integrated relationship) that based on ADF test resulted as non-stationary timeseries. [16] Engle and Granger introduced the concept of cointegration where economic variablesmight reach a long-run equilibrium that reflects a stable relationship among them. The co- 𝑦 𝑡 = µ + Δ𝑦 𝑡−1 + ⋯ + Δp 𝑦 𝑡−𝑝 + 𝜀 𝑡 ,integration equations are
duration and become a more permanent dwelling.Design Parameters:Each unit shall be fabricated to accommodate an average family of six – two adults andfour children. • Each unit shall have sleeping accommodations • Group assembly space to accommodate living and dining functions • Bathing and hygiene facilities. • Each unit shall be configured to reflect its expansion capabilities.Assumptions: • There is no central sewer and potable water system available. • Potable water will be delivered by truck in situations were there is no public water delivery system. • Toileting facilities will be environmentally friendly systems -- Dry pit, Ecolet units or Clivus Multrum system.Climate: • Haiti has a tropical climate
a reflection of how they're doing in lab in general and how much they should be contributing to the lab”. Proceedings of the 2013 American Society for Engineering Education Pacific Southwest Conference Copyright © 2013, American Society for Engineering Education 438 “Great idea because more people try to keep up with the actual lab work instead of leaving it to lab partners to have the understanding”. “I really like the pre lab write up. It really helps me come into the lab more prepared. Even though I hate the extra work. They really do pay off because you know exactly
shown in Fig. 1 more than once. One student repeatedMAT 1214-Calculus-I five times.Fig. 1. Number of students repeating courses required for the BS degree in mechanical engineering SurveyA survey was conducted to assess the perception of students on graduation rate issues. It isrelatively well-known that faculty have ideas about retention. These ideas are reflected in thecurriculum and in the assignment of instructors to particular classes. There is less information Proceedings of the 2013 ASEE Gulf-Southwest Annual Conference, The University of Texas at Arlington, March 21 – 23, 2013. Copyright 2013, American Society for
. Gordon and B.J. McBride. Computer program for calculation of complex chemical equilibrium compositions, rocket performance, incident and reflected shocks and Chapman-Jouguet detonations. NASA-SP 273, National Aeronautics and Space Administration, 1971.LUCA MASSADr. Massa currently serves as an Assistant Professor of Mechanical and Aerospace Engineering at the University ofTexas at Arlington. His research interests include combustion, detonation, transition modeling, boundary layers andcomputational fluid dynamics.PALLAV JHAMr. Jha is a PhD student in the Department of Mechanical and Aerospace Engineering at the University of Texas atArlington. He is currently a teaching assistant at this institution. His research interests are internal
Wankat and Oreovicz2 problem solving strategy, McMaster problem solvingprogram of Woods3 and Woods, et al.4, Gray and Costonzo5 structured approach to problemsolving, Mettes and associates6 Systematic Approach to Solving Problems, and Litzenger, etal.’s7 Integrated Problem Solving Model. The Wankat and Oreovicz strategy divides problemsolving into definite steps including motivation, exploration, and reflection as well as the morecommon define, plan, execute and check steps. The McMaster problem solving program uses astructure similar to that of Wankat and Oreovicz and implements it across entire curricula.Gray’s structured approach emphasizes pattern-matching that starts with a small number ofgeneral equations that students reduce to fit a
practicumrelative to their partner.It has been shown that students exhibit different learning styles which contribute to theircomprehension and assimilation of instructional information especially in a classroomenvironment with a single dimensional presentation format[10] [11]. In order to mitigate a learningstyle bias on the dissemination of the laboratory procedures, the laboratory assignments wereprovided prior to the laboratory exercise and contained both explanatory figures and diagrams.Students had time to study and reflect on the assignment and to ask questions prior to thescheduled laboratory period. An audio-visual pre-lab brief accompanied each lab to preview thelaboratory assignment and procedures. The instructor was available during the
predication accuracy was 75% suggests that higheraccuracy could be achieved given additional student attributes. Although less tangible factorssuch as intrinsic motivation and self-efficacy may be reflected in data such as high school GPA,they are likely some of the highest drivers in ultimate student retention but are not specificallycollected in this study. A recommendation for future study would be to utilize questionnaires orsurveys to gather information pertaining to self-efficacy, intrinsic motivation, sense ofcommunity, and other less tangible factors for retention, along with an ultimate reason forleaving for those students who do not stay in engineering. Prediction accuracy may also beimproved with a larger number of students for training
(e.g., verbally or visually), how information ispreferentially organized (e.g., inductive vs. deductive), how information is processed (e.g.,actively vs. reflectively), and how understanding progresses (e.g., sequentially vs. globally).7These styles are relatively stable and concern cognitive, affective and psychological behaviorsProceedings of the 2013 Midwest Section Conference of the American Society for Engineering Education 2about how learners perceive, interact with, and respond to a learning environment.8 Numerousprevious studies have considered learning styles for engineering students. One example is a studyof a small sample of
and IT focus. For systemeffectiveness, general surveys will be open, random, pertinent and online. Open forums willgather comments which can be discussed or analyzed at any time.Idea generation and feedback should be done in a way which can enhance the project design.After gathering all the feedbacks, the design of NA curriculum adapts the technology changingand reflectively embeds into teaching.2.Active, flexible and basic online NA trainingA simple training system will reinforce the technical basics of NA. The system will cover basicTCP/IP, naming conventions, backup, theory, DNS, topologies, basic user admin, rightsmanagement and databases. This system will allow self-study that frees faculty evaluation time.Ultimately it will guide
Likert scale and analysis are used to determine API as a composite effectof academic performance. For the Likert scale to measure API, an interval scale is used. In thiscase, the data also used numbers to indicate order and relative distance between points on thescale.The project is heavily data driven, from planning and implementation to completion. This paperpresents the results of some of the surveys administered and summarized by an externalevaluator on the final day of class to assess students’ responses to different aspects of theprogram, the following assessments were made: Weekly Reflection assessments-Student survey to weekly perceptions through the six- week duration of the program. Survey responses from students and faculty
scoring tools that detail the expectations and requirements for anassignment32. Specifically, rubrics are advantageous when a “judgment of quality” is required tocritique a work, which is often the case for writing samples33. More generally, rubrics are usedto judge the quality of constructs (e.g. reports, presentations, etc.) made by students duringperformance tests, which require students to exhibit high-level skills to complete an authentic(i.e. real-world) challenge34. As a result, rubrics are commonly used in the classroom as bothassessment and teaching tools to enhance student learning35. For instance, an instructor mayprovide students with a rubric to guide them in completion of a task. Reflecting on the rubrichelps students assess their
lead students to reflecting on their errorsprior to resubmission because they lose points for wrong responses. This makes guessing ineffec-tive. Our proficiency exercises are modeled after the TRAKLA system5, 14 and implemented us-ing the JSAV algorithm visualization library15.3. Research MethodsWe viewed this study as the first step in assessing our overall approach. Our goal was to make asmuch progress as possible on answering a number of key questions. Can students learn as well or better using interactive tutorials instead of traditional lecture and textbook? Will students be accepting of a class focused on interactive tutorials rather than tradition- al lecture and textbook? Will our client/server
the answers. Students also appreciated mentors’patience and effort to explain things clearly and comprehensively. To answer students’ researchrelated questions, mentors:1. Asked undergraduates to describe the phenomena and explain what was happening. Graduate mentors then provided ways to think more critically and considerately about the problem. For example, mentors gave students the knowledge to understand the problem and allowed students to think upon and reflect about a problem rather than giving a solution.2. Asked students to investigate answers by searching through primary or secondary data sources. For example, graduate mentors pointed to the people with the expertise or to the literature to guide students to find
supportstructures within the IUPUI School of Engineering & Technology and about their perceptions ofhow the implementation process is going overall. Sample interview probes are: “What kinds ofsupport have been provided during the implementation process?”; “How have studentsresponded to PEL?”; and “How has PEL affected student learning?” Document review. The research team is collecting lesson and unit plans including entry 3)documents and other PEL-related planning materials, assessment rubrics, samples of studentwork, and teacher reflections in order to understand PEL implementation processes and evaluatethe objectives. These data were analyzed using content analysis30. 4) Survey. Implementation surveys were disseminated to all
precipitation values calculated by converting radar images to rainfall amount accurately reflected ground truth. If this could not be accomplished, then the project would be a non-starter. Therefore the students matched actual rain collected by rain gauges to our calculated precipitation values from the radar images. They discovered that there are not only “official” governmental weather stations (often located at airports), but also an ad hoc network of rain gauges reported on by volunteers. The students had an opportunity to travel and see the data collection process of the volunteer network first-hand (Fig. 6). They discovered that some municipal sites apply quality control measures to their data
engineering. For this part,the other instructors edited slides previously made by the senior FSO for the procedural C++course. Because this material did not touch IID or refactoring, the author’s slides (Table 2) linkto corresponding Wikipedia pages, which were deemed sufficient for in-class discussion.4. Evaluation and Reflection Page 23.624.11Over its history, the evolution of ENCMP 100 has involved many stakeholders: administrators,instructors, and students. The impact of the transition from procedural C++ (2008–10), featuringKarel the Robot, to MATLAB (2010–12), featuring IID with Gorillas, is best assessed with amixed approach. This includes
? How many possible triplets are there? How many amino acids are there? Whyis there a difference in these numbers? What is a start codon? What is a STOP codon? What dowe mean by gene regulation? What governs the rate of activation of genes?g) Databases. Where are the data bases located? What is the National Institute of Health? Whosupports it? What does NCBI refer to?h) Character strings described by Numerical Sequences. How do we change a string to anumerical sequence? How do we represent the DNA sequence of length N? How would werepresent the complementary DNA sequence?i) Assume we used the complex conjugate notation of a, t, g, and c. What would be the sum of aand t? Reflecting on our class work? What would be the sum of a DNA sequence?j) A
Page 23.643.9the limited number of students interviewed, names/pseudonyms are not used whendiscussing the interviews. Instead, only the direct quotes are published to better protectthe anonymity of the students. Additionally, Senior Capstone Design project names werenot used, in an effort to protect the students interviewed.For the rated questions, a Likert-type scale was used. To determine mean ratings, anumerical value was assigned, where the low end of the scale = 1 and the high end of thescale = 5. The evaluator would read the questions to the interviewee during the phoneinterview and record the response. Table 5 reflects a portion of the rated questions.Students indicated that the FIPSE-SEAEP did meet their expectations (mean = 4.0
%20Undergraduate%20Educatio n%20%28Boyer%20Report%20II%29.pdf?sequence=1 Page 23.648.1231. The Boyer Commission on Educating Undergraduates in the Research University. (1998). Reinventing undergraduate education: A blueprint for America’s research universities. New York: State University of New York. Retrieved from www.umass.edu/research/system/files/boyer_fromRussell.pdf32. Muzaka, V. (2009). The niche of Graduate Teaching Assistants (GTAs): perceptions and reflections. Teaching in Higher Education, 14, 1-12.33. Louis, R. A. & McNair, L. D. (2011). Graduate student identity in engineering and education: The
into their teaching.3Reverse engineering is simply taking an object apart and analyzing its “inner workings,” in orderto understand the secrets behind its operation. However, some researchers use a broader term,Disassemble/Analyze/Assemble (DAA), for these activities.4A study comparing the results of such activities to the more traditional laboratory approachconcludes that DAA activities have the potential to increase student motivation and promotetransfer.5 Transfer refers to the ability to apply or adapt knowledge when seeking a novelsolution to a problem. New courses are being developed that make use of reverse engineeringprojects to help students observe actual designs during “incremental concrete experiences,”allowing them to reflect on
spring of 2012. As a result of this new program, the Capstonecourse in the already existing MET program faced some drastic changes in both content andobjectives.Prior to establishing the new BS ME program, a typical Capstone class included MET andApplied Technology students and focused mainly on production. Twenty-five specimens wereoriginally required, and then we dropped the number to fifteen a few years afterwards. The typeof projects performed reflected the nature of the Applied Technology and MET programs, bothof which are primarily hands-on programs. Much emphasis was on production, quality control,and timely delivery. When possible, we considered industry projects and gave them higherpriority over school-sponsored ones. Traditionally, the
used in industry.One of the challenges to teach a capstone project course is to provide students with sufficient motivationand get them invested in the outcome. To achieve this, Horgan, Smith and Thomas in their 2005 ACEpaper5 suggested a problem domain that accurately reflects the concerns and priorities of a real industryclient. They also proposed a Real World Software Process with four different phases: (1) Phase Zero –developing a project proposal which addresses the client‟s needs and clearly identifies goals and successcriteria, (2) Phase One – requirements gathering, release planning, and the initial development, (3) PhaseN – the generic, repeatable cycle in which the functionality of the system is incrementally extended andthe
ofthe study director and management immediately.(4) Periodically submit to management and the study director written status reports on each study, noting anyproblems and the corrective actions taken.(5) Determine that no deviations from approved protocols or standard operating procedures were made withoutproper authorization and documentation.(6) Review the final study report to assure that such report accurately describes the methods and standard operatingprocedures, and that the reported results accurately reflect the raw data of the nonclinical laboratory study.(7) Prepare and sign a statement to be included with the final study report which shall specify the dates inspectionswere made and findings reported to management and to the study
. Students thenengage in a set of reflective questions that ask them to explain their initial predictions andobservations. The goal is to have students explain the conceptual foundation for their predictionand when necessary use observations to modify or improve the foundational framework toimprove understanding and future predictions for similar situations. Inquiry-based activities areeffective at improving conceptual learning when activities have (i) unambiguous predictionswritten by the student, (ii) an action consisting of an experiment or simulation, and (iii) writtensummary or reconciliation (if needed) conducted by the student. Brief and repeatableexperiments are preferred since there is a perception that computer simulations can be “tricked
using two stages to refine our scoring system. In eachstage, individuals first provide comments on the individual skills in the scoring system. Then wesummarize the feedback from all the individuals and ask the individuals to reflect upon thesummary to see if their opinions have changed. At the end of the feedback for each of the twostages, we synthesize the overall responses and use the results to modify the scoring system. Wehave completed the first stage and are now in the second stage shown below.Delphi Method Stage 1 (this study) 1. Part one: conduct small focus groups and surveys to collect information and comments from our stakeholders 2. Part two: distribute summary to each of the stakeholders for reactions 3. Use part one