A Case of Implementation of an iPeer Software Tool to Assess and Develop Engineering Students Teamwork Capabilities in a Large Class Environment

2020 ◽  
Author(s):  
Saija Bezuidenhout
Keyword(s):  
Large Class ◽  
Engineering Students ◽  
Software Tool ◽  
Class Environment

scholarly journals ANALISIS PENGARUH JADWAL KULIAH MALAM, STATUS BEKERJA DAN LINGKUNGAN KELAS TERHADAP TINGKAT KONSENTRASI KEGIATAN BELAJAR MENGAJAR MAHASISWA TEKNIK INDUSTRI UNIVERSITAS RIAU KEPULAUAN

2017 ◽  
Vol 6 (2) ◽  
Author(s):  
Vera Methalina Afma
Keyword(s):  
Engineering Students ◽  
Industrial Engineering ◽  
Working Environment ◽  
Work Status ◽  
Teaching Materials ◽  
Engineering Program ◽  
Class Environment ◽  
Stanford Sleepiness Scale ◽  
Working Status ◽  
Expected Outcomes

Penelitian ini bertujuan untuk mengetahui dan menganalisa pengaruh jadwal perkuliahan malam, status bekerja dan lingkungan kelas terhadap tingkat konsentrasi mahasiswa Teknik Industri di Universitas Riau Kepulauan.Pada penelitian ini, variabel yang akan diteliti adalah faktor kelelahan mahasiswa, status bekerja dan lingkungan kelas terhadap tingkat konsentrasi mahasiswa. Data pada penelitian ini diperoleh melalui kuesioner persepsi dan kuesioner Standford Sleepiness Scale. Kuesioner akan disebarkan kepada 80 orang mahasiswa Teknik Industri Universitas Riau Kepulauan. Dari hasil penelitian dapat disimpulkan bahwa jadwal kuliah malam tidak berpengaruh padatingkat konsentrasi mahasiswa dalam belajar, status bekerja tidak berpengaruh pada tingkat konsentrasi mahasiswa, lingkungan kerja berpengaruh pada tingkat konsentrasi mahasiswa, dan jadwal kuliah malam, status bekerja dan lingkungan kerjasama-samaberpengaruhterhadaptingkatkonsentrasimahasiswa.Adapun luaran yang diharapkan dari penelitian ini adalah jurnal penelitian ilmiah Dimensi Universitas Riau Kepulauan atau Jurnal Profisiensi Program Studi Teknik Industri Universitas Riau Kepulauan dan pengayaan bahan ajar pada mata kuliah ErgonomiKata Kunci;jadwalkuliah, status bekerja, lingkungan, Standford Sleepiness Scale The aim of this study is to identify and analyze the effect of learning night schedule , working status and class environment to the concentration of Industrial Engineering students at the Riau KepulauanUniversity. The variables are fatigue factor of student, working status and class environment. The method in this study areperception questionnaires and Stanford Sleepiness Scale that will be distributed to 80 person of Industrial Engineering students of Riau KepulauanUniversity.The  results of this study are schedule is not effect to the  concentration of students, work status is not effect to the  concentration of students, working environment iseffect to the concentration of students, and schedules, working  status and the class environment is together effected to the concentration of students. The expected outcomes of this study is journal Dimensi of Riau KepulauanUniversitasor JournalProficiency of Industrial Engineering Program, Riau KepulauanUniversity and Ergonomic teaching materials. Keywords :schedule, working status, class environment, Standford Sleepiness Scale Questionnaires

scholarly journals Enhancing Student Engagement through Small Group Pedagogies in a Large Class Environment

2012 ◽  
Vol 03 (06) ◽  
pp. 824-828
Author(s):  
Ayse A. Bilgin ◽  
David Bulger ◽  
Greg Robertson ◽  
Sigurbjorg Gudlaugsdottir
Keyword(s):  
Student Engagement ◽  
Small Group ◽  
Large Class ◽  
Class Environment

Teaching Large Classes

2021 ◽  
pp. 784-799
Author(s):  
Japhet E. Lawrence
Keyword(s):  
Higher Education ◽  
Student Engagement ◽  
Large Class ◽  
Large Classes ◽  
Daunting Task ◽  
Class Environment ◽  
Student Enrolment ◽  
Daunting Challenge ◽  
Assessment Strategies

Higher education around the world are experiencing significant growth in student enrolment, as a result, educators face the daunting challenge of teaching larger classes, while improving the quality of instruction and subsequent value delivered to students. Large class can become a daunting task to any teacher who has never taught a large class before and teaching a large group of students can be intimidating for both students and lecturers. The purpose of this article is to identify effective teaching and assessment strategies to address the challenges of teaching in large class environment. It focusses on the idea of student engagement as a strategy to address the challenges faced by large class learning environments. By focusing on student engagement and adapting teaching and assessment strategies to promote critical thinking, it is possible to overcome the challenges posed by large class environments into opportunities for effective student learning. The study provides valuable direction for faculty faced with teaching and supporting large-class environments in higher education.

An educational software tool to teach hyper-heuristics to engineering students based on the bubble breaker puzzle

2014 ◽  
Vol 23 (2) ◽  
pp. 277-285 ◽  
Author(s):  
S. Salcedo-Sanz ◽  
S. Jiménez-Fernández ◽  
J. M. Matías-Román ◽  
J. A. Portilla-Figueras
Keyword(s):  
Engineering Students ◽  
Educational Software ◽  
Software Tool

scholarly journals USING AN ONLINE MARKING SYSTEM FOR A LARGE CLASS ENVIRONMENT

2017 ◽  
Author(s):  
Peter M. Ostafichuk ◽  
Carol P. Jaeger
Keyword(s):  
Software Tool ◽  
Freedom Of Information ◽  
First Year ◽  
Final Exam ◽  
Brief Training ◽  
Class Environment ◽  
Orientation Session ◽  
Time Savings ◽  
Digital Record ◽  
Marking Time

The use of online team marking has the potential to both simplify and expedite the process of marking exams, papers, and other artifacts. An online team marking tool (Crowdmark) has been piloted at UBC in  Mechanical Engineering (125 student midterm) and two common first year introduction to engineering courses (840 student final exam, and 730 student midterm and final exam).Crowdmark, the particular software tool used, printed a unique QR code on each page of each exam and then exams were written by students in a conventional pencil-andpaper fashion. After the exam, papers were digitized and uploaded to the Crowdmark system. Following a brief training and orientation session, all marking took place by teaching assistants through the Crowdmark interface. Overall grader preference was positive, with the majority of graders expressing a strong preference for the Crowdmark system over conventional paper-based grading. In MECH 223, extensive historical data for marking time was available, and a significant reduction in marking time per exam (30%) was observed. This time savings included time saved handling papers and entering grades. Additional benefits were also observed through the use of this system: grades and histograms are available per question in real-time; time and grader tracking data is available; exam regrading is simplified; and there is a digital record of each exam for archiving purposes as well as to prevent issues of students altering papers prior to requesting regrading. Special safeguards had to be put in place due to freedom of information and privacy protection (FOIPP) requirements in British Columbia. We haveobserved a slightly lower cost per graded page with Crowdmark ($0.426/page) compared to a conventional exam ($0.439/page), but this includes outsourcing printing and scanning to an industrial-scale printing company. We consider this essentially cost-neutral, but like Crowdmarkfor all of the other benefits it offers.

scholarly journals A flexible and precise model for the dynamics of animal diseases with single outbreaks 

2012 ◽  
Vol 50 (No. 5) ◽  
pp. 205-212
Author(s):  
Nowak WG
Keyword(s):  
Mathematical Model ◽  
Large Class ◽  
Foot And Mouth Disease ◽  
Software Tool ◽  
Mouth Disease ◽  
Model Parameters ◽  
Microsoft Excel ◽  
Animal Diseases ◽  
Foot And Mouth

This article provides a general and accurate mathematical model for the epidemics dynamics of a large class of animal diseases. The issue is to offer to the scientist interested in applications a quite concise and practicable explanation how to validitate the model parameters by means of the software tool Microsoft Excel<sup>&reg;</sup>. Furthermore, predictions concerning hypothetical scenarii can easily be obtained on the basis of this concept. As specific examples, calculations are presented for the BSE epidemics in the British UK and for an outbreak of foot-and-mouth disease in a district of Lower Austria.

Toward Understanding Collaborative Design Center Trade Study Software Upgrade and Migration Risks

2010 ◽  
Author(s):  
Douglas L. Van Bossuyt ◽  
Irem Y. Tumer
Keyword(s):  
Collaborative Design ◽  
Engineering Students ◽  
Risk Model ◽  
Software Tool ◽  
Smooth Transition ◽  
Software Packages ◽  
User Groups ◽  
Software Upgrade ◽  
Trade Study ◽  
And Migration

Collaborative design centers often employ software tools to conduct trade studies. Commonly, this takes the form of a software program to aggregate and pass data between multiple computer workstations. This allows multiple people to concurrently create a conceptual design. Trade study software continues to evolve to meet the demands of modern collaborative design centers. However, the risks associated with moving from one trade study software tool to another are not well understood. Additionally, little is known about the software preferences of Collaborative Design Center (CDC) staff. This paper determines software preferences of two user groups consisting of graduate and undergraduate mechanical engineering students. This paper then explores the risks in deploying new trade study software in a collaborative design center. A method for estimating and mitigating risks with changing trade study software is presented. Recommendations for a smooth transition between software packages are given. The risk model developed in this paper offers a quick way of estimating and mitigating conversion risk for collaborative design centers.

scholarly journals Instructional Software for Reliability Estimation and Fault Tree Analysis

2013 ◽  
Vol 1 (2) ◽  
pp. 83-109
Author(s):  
Rashpal Ahluwalia
Keyword(s):  
Goodness Of Fit ◽  
Engineering Students ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Software Tool ◽  
Reliability Estimation ◽  
Instructional Software ◽  
Tree Analysis ◽  
Failure Data ◽  
State Dependent

This paper describes a software tool to introduce fundamental concepts of reliability and fault tree analysis to engineering students.  Students can fit common failure distributions to failure data.  The data can be complete, singly censored, or multiply censored.  The software computes distribution and goodness-of-fit parameters.  The students can use the tool to validate hand calculations.  Failure distributions and reliability values for various components can be identified and stored in a database.  Various components and sub-systems can be used to build series- parallel or complex systems.  The components data can also be used to build fault trees.  The software tool can compute reliability of complex state independent and state dependent systems.  The tool can also be used to compute failure probability of the top node of a fault tree.  The software was implemented in Visual Basic with SQL as the database.  It operates on the Windows 7 platform.

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