Work-in-Progress: Automation in Undergraduate Classes: Using Technology to Improve Grading Efficiency, Reliability, and Transparency in Large Classes

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Publicado en:Association for Engineering Education - Engineering Library Division Papers (Jun 14, 2015), p. 26.1761.1
Autor principal: Lee Kemp Rynearson
Otros Autores: Reazin, David W
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American Society for Engineering Education-ASEE
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Acceso en línea:Citation/Abstract
Full text outside of ProQuest
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035 |a 2317758478 
045 0 |b d20150614 
100 1 |a Lee Kemp Rynearson 
245 1 |a Work-in-Progress: Automation in Undergraduate Classes: Using Technology to Improve Grading Efficiency, Reliability, and Transparency in Large Classes 
260 |b American Society for Engineering Education-ASEE  |c Jun 14, 2015 
513 |a Conference Proceedings 
520 3 |a Automation in Undergraduate Classes: Using Technology to Improve Grading Efficiency, Reliability, and Transparency in Large ClassesLarge undergraduate classes offer many challenges relating to scale. This paper describes a suiteof automated computer tools developed to assist with these challenges, specifically those relatingto grading and performance analysis for either individual students or classes as a whole. Whilethe computer tools developed are independent of any Learning Management System (LMS), theycould easily be adapted to operate more closely with an LMS in other academic environments.The suite of tools in question allow for automated digital rubric generation, collection fromstudents, return to students, and most notably, analysis. Features include the ability to condenseseveral files submitted by one student into a single PDF for review, the ability to executesubmitted code in three programming languages (Python 3, MATLAB, and ANSI C) whilecapturing the output into a PDF, and the ability to track error conditions such as late submissionand incorrect file names and automatically assign penalties.Statistical reports are generated for each assignment automatically, providing a window intostudents’ performance and possible areas of concern. Automated warnings alert the teachingteam to potential errors in grading, equity issues (such as one section of the class performingsubstantially better or worse than another) or opportunities for improvement in the academicprocess (such as rethinking the pedagogy relating to specific ideas or areas that prove broadlytroublesome). These reports streamline instructor workflow and allow for much deeper insightsinto student performance than time would normally allow.The suite of tools was implemented using Visual Basic for Applications (VBA), Python 3, andMySQL databases. The implementation of these automated tools was inexpensive and providedmany benefits to the instructors and graders in terms of convenience, time saved, graderaccountability, process reliability, and enabling new diagnostic capabilities. Furthermore, costsavings were realized from reduced grader time and from almost eliminating the use of paper tooffset the cost of developing the tools. This paper presents details on each of the tools developedas a part of this effort, results of the adoption of the tools in a large first-year class, the potentialuses of similar tools in other venues, and avenues for future work and development. 
653 |a Automation 
653 |a Reliability 
653 |a Workflow 
653 |a Tools 
653 |a Technology utilization 
653 |a Teachers 
653 |a Diagnostic systems 
653 |a Learning management systems 
653 |a Visual programming languages 
653 |a C (programming language) 
653 |a Visual Basic for Applications 
653 |a Portable document format 
653 |a Students 
653 |a Transparency 
653 |a Databases 
653 |a Errors 
653 |a Ability 
653 |a Technology 
653 |a Warnings 
653 |a Penalties 
653 |a Teaching 
653 |a Programming languages 
653 |a Languages 
653 |a Adoption of innovations 
653 |a Academic achievement 
653 |a Implementation 
700 1 |a Reazin, David W 
773 0 |t Association for Engineering Education - Engineering Library Division Papers  |g (Jun 14, 2015), p. 26.1761.1 
786 0 |d ProQuest  |t Library Science Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/2317758478/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full text outside of ProQuest  |u https://peer.asee.org/work-in-progress-automation-in-undergraduate-classes-using-technology-to-improve-grading-efficiency-reliability-and-transparency-in-large-classes