scholarly journals Faculty Level Support of Graduate Attribute Assessment and Continuous Improvement Process

2018 ◽  
Author(s):  
Aneta George ◽  
Liam Peyton
Keyword(s):  
Continuous Improvement ◽  
Computer Engineering ◽  
Information Analysis ◽  
Engineering Programs ◽  
Continuous Improvement Process ◽  
Common Process ◽  
Improvement Process ◽  
Faculty Level ◽  
Analysis System ◽  
The University

We survey the approaches taken at several universities for faculty level support of graduate attribute assessment and continuous improvement process and present the approach taken at the University of Ottawa. Our approach consists of a common process for continuous improvement across programs, supported by templates for key tasks, and a common set of performance indicators for graduate attribute assessment supported by our Graduate Attribute Information Analysis system. We demonstrate our approach across three engineering programs (electrical engineering, computer engineering and software engineering) and report on specific issues encountered and results obtained. 

scholarly journals Cohort Analysis and Reporting for Graduate Attribute Assessment

2018 ◽  
Author(s):  
Aneta George ◽  
Liam Peyton
Keyword(s):  
Performance Management ◽  
Performance Indicators ◽  
Cohort Analysis ◽  
Information Analysis ◽  
Engineering Programs ◽  
Graduate Attributes ◽  
Historic Data ◽  
And Performance ◽  
Analysis System ◽  
The University

The Graduate Attribute Information Analysis system (GAIA) was developed at the University of Ottawa to support data collection and performance management of graduate attributes for engineering programs at the program level and at the course level [10]. This paper reports on our research to develop support for cohort analysis and reporting by providing a single consistent view of graduate attributes (GA) and performance indicators for groups of students who started and finished an engineering program at the same time. This is supported by two special purpose reports: Graduate Attribute Report per Cohort (GAR/C) and Course Progression Report per Cohort (CPR/C). The former shows average GA data per attribute, the latter tracks student achievement as students progress in their program. It also adds to the historic data trend analysis for a program. Furthermore, a COOP Progress Report per cohort (COOPR/C) is generated.

scholarly journals SCALABILITY OF A GRADUATE ATTRIBUTES ASSESSMENT AND CONTINUOUS IMPROVEMENT PROCESS

2015 ◽  
Author(s):  
Steven Dew ◽  
Robert Driver ◽  
Glen Thomas ◽  
Mrinal Mandal ◽  
Phillip Choi
Keyword(s):  
Continuous Improvement ◽  
Individual Student ◽  
University Of Alberta ◽  
Graduate Attributes ◽  
Continuous Improvement Process ◽  
Student Assessments ◽  
Improvement Process ◽  
Key Aspects ◽  
The University ◽  
Naive Approach

The recent Canadian Engineering Accreditation Board (CEAB) requirements mandating a graduate attributes (GA) assessment and continuous improvement process present a potentially huge burden for assessment, analysis and data management. Designing a robust GA management system and scaling to a large multi-program engineering faculty represents a significant challenge. This paper presents a hierarchical approach developed at the University of Alberta to address these challenges for one of the largest programs in Canada. A set of specific overarching principles has allowed us to significantly reduce the overall task. Key aspects include the exploitation of common indicators and measures where possible. The system currently employs 451 measures and 93,240 individual student assessments vs potentially about 1000 measures and 106 student assessments for a similar, but naïve, approach. A multiyear strategy is described to monitor progress and demonstrate a continuous improvement system.

scholarly journals The Process of Continual Improvement of Engineering Programs at the University of Manitoba: Now and Next

2013 ◽  
Author(s):  
Nariman Sepehri ◽  
Witold Kinsner ◽  
Jean-Paul Burak ◽  
Cyrus Shafai ◽  
Udaya Annakkage ◽  
...  
Keyword(s):  
Program Improvement ◽  
Curriculum Management ◽  
Engineering Programs ◽  
Continual Improvement ◽  
Effective Feedback ◽  
Graduate Attributes ◽  
Continuous Improvement Process ◽  
Improvement Process ◽  
University Of Manitoba ◽  
The University

This paper describes the process that has been implemented for continual improvement of the Engineering programs at the University of Manitoba. The continuous improvement process developed is founded on: (i) assessment of graduate attributes, (ii) evaluation of student success, and (iii) further improvement of the programs. Graduate attributes are assessed both directly and indirectly. The direct assessment of attributes is through course-embedded procedures, while the indirect assessment is through compilation of many activities at both the Program, Department and Faculty levels, as well as via effective feedback from the students and the external engineering community. Together these assessments provide important information for the newly- established Curriculum Management Committee (CMC) to identify/prioritize needs, make recommendations and oversee the implementation of improvements. We describe steps taken to ensure a sustainable continuous program improvement process.

scholarly journals PENGGUN AAN DELAPAN LANGKAH DAN TUJUH ALAT (DELTA) UNTUK MEMPERBAIKI NILAI MATEMATIKA EKONOMI 1 DI FAKULTAS EKONOMI UNIVERSITAS SURABAYA

2003 ◽  
Vol 2 (2) ◽  
Author(s):  
Stefanus Budy Widjaja
Keyword(s):  
Quality Management ◽  
Continuous Improvement ◽  
Process Improvement ◽  
Managerial Decision ◽  
Quality Performance ◽  
Quality Improvement Process ◽  
Continuous Improvement Process ◽  
Improvement Process ◽  
The Right ◽  
The University

Nowadays implementation of quality management needs some techniques to collect information for managerial decision-making so continuous improvement process can be achieved. One of the important aspects in quality management is making decision base on facts or data. Facts or data could be collected through quality performance measurement and must be processed through statistical-analytical process. The Eight Steps and Seven Tools (DELTA in Indonesian Phrases, means DELapan langkah dan Tujuh Alat) is a statistical method that is developed to facilitate the quality improvement process, identify operational problems, and make the right actions to solve tire problems. The spreading of this successful method in Japan has been done by conducting periodic national convention on Quality Control Circle.This paper describes how to implement this method for solving the problem of teaching-leaming-process-improvement for Mathematical 1 subject in Faculty of Economics, the University of Surabaya. At the end, this paper discusses evidences that indicate about the usefulness of this method.

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