Establishing a School-Wide Systematic Closed-Loop Course Evaluation Process to Improve Course and Instructor Effectiveness

2015 ◽  
Vol 27 (5) ◽  
pp. 3-13
Author(s):  
Jacqueline E. McLaughlin ◽  
Amy Sloane ◽  
Elizabeth Billings ◽  
Mary T. Roth
Keyword(s):  
Closed Loop ◽  
Evaluation Process ◽  
Course Evaluation ◽  
Instructor Effectiveness

Evaluation of Deviation Zone Based on Maximum Conformance to Tolerances

2011 ◽  
Author(s):  
Ahmad Barari
Keyword(s):  
Closed Loop ◽  
Evaluation Process ◽  
Accurate Estimation ◽  
Tolerance Zone ◽  
Coordinate Metrology ◽  
Inspection Process ◽  
Geometric Deviations ◽  
The Given ◽  
Best Fit ◽  
Deviation Zone

The accurate estimation of the geometric deviations is not possible only by manipulating the Euclidian distances of the discrete measured points from substitute geometry. The real geometric deviations of a measured surface need to be calculated based on the desired tolerance zone of the surface. This fact is usually neglected in common practices in the coordinate metrology of surfaces. The importance of considering the desired tolerance zone in estimation of the optimum deviation zone is demonstrated in this paper. Then a best fit method is presented which complies with the tolerance requirements of the designed surface. The developed fitting methodology constructs a substitute geometry to minimizes the residual deviations corresponding to the given tolerance zone and the needs of down-stream operations that use the results of the inspection process. It is shown how the developed objective function can be adopted for a case of closed-loop manufacturing process, when the under-cut residual deviations of the manufactured part can be corrected by a down-stream operation. In order to validate the proposed methodology, experiments are conducted. The results show a significant reduction of uncertainties in coordinate metrology of geometric surfaces. Implementation of this method directly results in increasing the accuracy of the entire tolerance evaluation process, and less uncertainty in quality control of the manufactured parts.

Students' Perceptions of the Value of Teaching Evaluations

1993 ◽  
Vol 76 (3) ◽  
pp. 995-1000 ◽  
Author(s):  
Patricia L. Dwinell ◽  
Jeanne L. Higbee
Keyword(s):  
Effective Means ◽  
Evaluation Process ◽  
Course Evaluation ◽  
Teaching Evaluations ◽  
Evaluation Form

This research examined how 187 students assessed a course evaluation form, the anonymity of the evaluation process, the fairness and accuracy students attribute to the task of completing evaluations of instruction, and students' perceptions of the extent to which teachers and administrators make use of the information provided by evaluations. 92% of the student-participants believed that the rating forms provided an effective means of evaluating instruction. The majority thought instructors pay attention to evaluation results and change their behavior accordingly. Only 2% believed that their anonymity was not protected. Students appeared to have more faith in their own evaluations than in those of other students. They also lacked confidence in the use of evaluations for determining salary increases or tenure and promotion.

A New Explanation for Students’ Course Evaluation Tendencies

1973 ◽  
Vol 10 (2) ◽  
pp. 115-124 ◽  
Author(s):  
Kent L. Granzin ◽  
John J. Painter
Keyword(s):  
Factor Analysis ◽  
Attitude Change ◽  
Stepwise Regression ◽  
Predictive Power ◽  
Evaluation Process ◽  
Course Evaluation ◽  
Predictor Variables ◽  
Regression Equations ◽  
Student Course Evaluation

This study of the student course evaluation process discovered significant correlations between course ratings and variables representing commitment and course-end attitudes toward the course. It found relationships of lesser significance for attitude change measures, while demographics provided generally nonsignificant correlations. Stepwise regression equations developed for their power to predict course ratings relied most heavily on course-end attitude variables. Factor analysis of the variable set revealed 6 factors underlying the course evaluation structure studied, and this analysis guided formulation of new regression equations having reduced predictive power but greater independence among included predictor variables. Conclusions focused on the study’s contributions to understanding the course evaluation process and suggested steps an instructor might take to improve his ratings.

EVALUATION OF CLOSED-LOOP CONTROL SYSTEM FOR RESTORING STANDING AND SITTING FUNCTIONS BY FUNCTIONAL ELECTRICAL STIMULATION

2005 ◽  
Vol 17 (01) ◽  
pp. 19-26 ◽  
Author(s):  
CHENG-LIANG LIU ◽  
CHUNG-HUANG YU ◽  
SHIH-CHING CHEN ◽  
CHANG-HUNG CHEN
Keyword(s):  
Electrical Stimulation ◽  
Functional Electrical Stimulation ◽  
Closed Loop ◽  
Spinal Cord Injuries ◽  
Control Method ◽  
Control Strategies ◽  
Evaluation Process ◽  
Closed Loop Control ◽  
Loop Control ◽  
Loop Control System

Functional electrical stimulation (FES) is a method for restoring the functional movements of paraplegic or patients with spinal cord injuries. However, the selection of parameters that control the restoration of standing up and sitting functions has not been extensively investigated. This work provides a method for choosing the four main items involved in evaluating the strategies for sit-stand-sit movements with the aid of a modified walker. The control method uses the arm-supported force and the angles of the legs as feedback signals to change the intensity of the electrical stimulation of the leg muscles. The control parameters, Ki and Kp, are vary for different control strategies. Four items are collected through questionnaires and used for evaluation. They are the maximum reactions of the two hands, the average reaction of the two hands, largest absolute angular velocity of the knee joints, and the sit-stand-sit duration time. The experimental data are normalized to facilitate comparison. Weighting factors are obtained and analyzed from questionnaires answered by experts and are added to evaluation process for manipulation. The results show that the best strategy is the closed-loop control with parameters Ki=0.5 and Kp=0.

A new course evaluation process

2000 ◽  
Vol 43 (2) ◽  
pp. 125-131 ◽  
Author(s):  
K. Scoles ◽  
N. Bilgutay ◽  
J. Good
Keyword(s):  
Evaluation Process ◽  
Course Evaluation

scholarly journals Comparative Study on Course Evaluation Process: Students’ and Lecturers’ Perceptions

2014 ◽  
Vol 123 ◽  
pp. 380-388 ◽  
Author(s):  
Nur Fadhlina Zainal Abedin ◽  
Jamaliah Mohd Taib ◽  
Hajah Makiah Tussaripah Jamil
Keyword(s):  
Comparative Study ◽  
Evaluation Process ◽  
Course Evaluation

scholarly journals Designing student feedback system within the course evaluation process: dokuz eylül university case study

2017 ◽  
Vol 7 (1) ◽  
pp. 78
Author(s):  
Muhammet Damar ◽  
Aysun Kapucugil Ikiz ◽  
Guzin Ozdagoglu ◽  
Cenk Ozler ◽  
Yasemin Arbak ◽  
...  
Keyword(s):  
Evaluation Process ◽  
Feedback System ◽  
Course Evaluation ◽  
Student Feedback

scholarly journals Online Course Evaluations Response Rates

2013 ◽  
Vol 6 (3) ◽  
pp. 333-338 ◽  
Author(s):  
Faruk Guder ◽  
Mary Malliaris
Keyword(s):  
Survey Data ◽  
Student Participation ◽  
Evaluation Process ◽  
Response Rates ◽  
Course Evaluation ◽  
Course Evaluations ◽  
Online Course ◽  
Participation Rates ◽  
Student Body ◽  
Class Time

This paper studies the reasons for low response rates in online evaluations. Survey data are collected from the students to understand factors that might affect student participation in the course evaluation process. When course evaluations were opened to the student body, an email announcement was sent to all students, and a reminder email was sent a week later. Our study showed that participation rates increased not only when emails were sent, but also when faculty used in-class time to emphasize the importance of completing the evaluations.

scholarly journals Transition from Paper to Online Course Evaluation: Preliminary Trends in Student Response Rate and Overall Professor Evaluation

2015 ◽  
Author(s):  
Christopher R. Dennison ◽  
Cagri Ayranci ◽  
Pierre Mertiny ◽  
Jason P. Carey
Keyword(s):  
Response Rate ◽  
Student Evaluation ◽  
Course Evaluation ◽  
Student Response ◽  
Online Course ◽  
Quality Of Instruction ◽  
Evaluation Of Teaching ◽  
Instructor Effectiveness ◽  
First Time

Student evaluation of teaching (SET) hasbeen used as a metric to arguably evaluate instructoreffectiveness and quality of instruction since the 1920s.SET is used in decisions regarding annual evaluation (offaculty) and is one of the most researched topics inevaluation of instructor effectiveness. Central researchquestions associated with SET include whether SET is anappropriate measure of effectiveness and whether it leadsto improved teaching and quality of graduates.In the fall 2013, the Faculty of Engineering at theUniversity of Alberta for the first time administered SETonline. The transition from paper-based and in class SETto online and out of class SET provides a uniqueopportunity to investigate changes in SET response rateand ratings of overall instructor effectiveness that couldbe attributed to change in protocol and that wouldsuggest protocol-related bias. Our preliminary resultsshow lower response rates for online SET andeffectiveness scores that were outside one standarddeviation of the previous 5-year mean. These findingsshow the importance of continuing to monitor web-basedSET results and point to directions of further research. Atthis time, this will not be possible, as the Faculty ofEngineering has discontinued online SET testing after asingle term.

The Study of Green Evaluation Support System in Manufacturing Process Based on Multi Agent

2011 ◽  
Vol 295-297 ◽  
pp. 500-505
Author(s):  
Hua Zhang ◽  
Xu Gang Zhang ◽  
Yang Hong Wang
Keyword(s):  
Support System ◽  
Manufacturing Process ◽  
Closed Loop ◽  
Evaluation Model ◽  
Evaluation Process ◽  
Management Model ◽  
Knowledge Application ◽  
Analysis And Evaluation ◽  
Valve Stem ◽  
Multi Agent

Owing to the diversity of green evaluation index and multiple-factor related to the process evaluation, existing green evaluation of manufacturing process lacks a set of effective knowledge management model. It leads to the high cost and inefficiency of analysis and evaluation process. A green evaluation model for manufacturing process based on multi agent is presented. Based on the model, green evaluation support system of manufacturing process based on multi agent is developed with the knowledge base introduced. The implementation strategy of green evaluation for manufacturing process is implemented by the closed-loop knowledge chain, which is composed of knowledge mining, knowledge transferring, knowledge application and knowledge feedback. The feasibility of this system is verified by an instance of the valve stem manufacturing process in a valve factory.

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