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Title:      ABET-DRIVEN GRADING AND STATISTICAL ONLINE TOOLS FOR COURSE OUTCOMES ASSESSMENT
Author(s):      Haydar Moussalem, Amin Haj-Ali, Hiba Alawieh, Mohamad Merhi, Mohamad Hajj-Hassan, Houssein Hajj-Hassan and Bassam Hussein
ISBN:      978-989-8533-85-2
Editors:      Piet Kommers, Pascal Ravesteijn, Guido Ongena and Pedro Isaías
Year:      2019
Edition:      Single
Keywords:      Course assessment, Course Outcomes, ABET, Student Learning, Continuous Improvement, Best Educational Practices
Type:      Full Paper
First Page:      261
Last Page:      266
Language:      English
Cover:      cover          
Full Contents:      click to dowload Download
Paper Abstract:      Working towards ABET accreditation; it is indispensable to conduct course assessment to improve student learning, performance, and the educational process. Assessment determines whether or not the goals of teaching and learning are being met and triggers needed corrective measures. It provides indicators to instructors and course coordinators to assess the attainment of course outcomes (COs) and consequently the overall program outcomes in order to adapt the teaching methodologies and techniques to address any anomalies. In this paper, we report the integration of the course assessment process into the university management system (UMS). Two tools are presented, the course grading tool for individual class sections and the coordinator statistical tool for all offered class sections. The course class section grading tool is used by the instructor to assess the students’ performance on the designated course activities and generate an assessment report. The coordinator statistical tool is used to collect all offered course sections data and provides a report including the course activities statistics. The coordinator uses this report to analyze the results, synthesize the instructor recommendations, and propose corrective actions to close the loop of continuous improvement. Both tools are interrelated and represent an opportunity for instructors and course coordinators to assess their students and consequently make significant and positive changes to teaching and learning based on best practices in higher education. As a case study, data from 31 sections of a basic Electric Circuits course were collected for a detailed statistical analysis.
   

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