A Web-Based Course and Instructor Online Evaluation System

2015 ◽  
Author(s):  
Sahar A. El Rahman
Keyword(s):  
Evaluation System ◽  
Web Based ◽  
Online Evaluation

scholarly journals Design and Implementation of an Anonymous and Secure Online Evaluation Protocol

Electronics ◽  
2020 ◽  
Vol 9 (9) ◽  
pp. 1415
Author(s):  
Nikolaos Petrakos ◽  
Stefanos Monachos ◽  
Emmanouil Magkos ◽  
Panayiotis Kotzanikolaou
Keyword(s):  
Evaluation System ◽  
State Of The Art ◽  
Course Evaluations ◽  
Cryptographic Protocol ◽  
Web Based ◽  
Academic Environments ◽  
Design And Implementation ◽  
Online Evaluation ◽  
Evaluation Protocol ◽  
Security Properties

Course evaluations have become a common practice in most academic environments. To enhance participation, evaluations should be private and ensure a fair result. Related privacy-preserving method and technologies (e.g., anonymous credentials, Privacy Attribute-Based Credentials, and domain signatures) fail to address, at least in an obvious way, the minimal security and practicality requirements. In this paper, we propose, evaluate, and implement an efficient, anonymous evaluation protocol for academic environments. The protocol borrows ideas from well-known and efficient cryptographic approaches for anonymously submitting ballots in Internet elections for issuing one-time credentials and for anonymously broadcasting information. The proposed protocol extends the above approaches in order to provably satisfy properties such as the eligibility, privacy, fairness and verifiability of the evaluation system. Compared to the state of the art, our approach is less complex and more effective, while security properties of the proposed protocol are verified using the ProVerif cryptographic protocol verifier. A web-based implementation of the protocol has been developed and compared to other approaches and systems.

A Resident-Driven Mobile Evaluation System Can Be Used to Augment Traditional Surgery Rotation Evaluations

2021 ◽  
pp. 000313482110111
Author(s):  
Kurun Partap S Oberoi ◽  
Akia D Caine ◽  
Jacob Schwartzman ◽  
Sayeeda Rab ◽  
Amber L Turner ◽  
...  
Keyword(s):  
Medical Education ◽  
Graduate Medical Education ◽  
General Surgery ◽  
Residency Program ◽  
Evaluation System ◽  
Clinical Rotation ◽  
Web Based ◽  
General Surgery Residency ◽  
Surgery Residency Program ◽  
To Receive

Background The Accreditation Council for Graduate Medical Education requires residents to receive milestone-based evaluations in key areas. Shortcomings of the traditional evaluation system (TES) are a low completion rate and delay in completion. We hypothesized that adoption of a mobile evaluation system (MES) would increase the number of evaluations completed and improve their timeliness. Methods Traditional evaluations for a general surgery residency program were converted into a web-based form via a widely available, free, and secure application and implemented in August 2017. After 8 months, MES data were analyzed and compared to that of our TES. Results 122 mobile evaluations were completed; 20% were solicited by residents. Introduction of the MES resulted in an increased number of evaluations per resident ( P = .0028) and proportion of faculty completing evaluations ( P = .0220). Timeliness also improved, with 71% of evaluations being completed during one’s clinical rotation. Conclusions A resident-driven MES is an inexpensive and effective method to augment traditional end-of-rotation evaluations.

scholarly journals A web-based, branching logic questionnaire for the automated classification of migraine

2018 ◽  
Author(s):  
Eric A. Kaiser ◽  
Aleksandra Igdalova ◽  
Geoffrey K. Aguirre ◽  
Brett Cucchiara
Keyword(s):  
Migraine Without Aura ◽  
Large Scale ◽  
Automated Analysis ◽  
Automated Classification ◽  
Online Questionnaire ◽  
Demographic Differences ◽  
Web Based ◽  
Online Evaluation ◽  
Automated Algorithm

AbstractObjectiveTo identify migraineurs and headache-free individuals with an online questionnaire and automated analysis algorithm.MethodsWe created a branching-logic, web-based questionnaire—the Penn Online Evaluation of Migraine (POEM)—to obtain standardized headache history from a previously studied cohort. Responses were analyzed with an automated algorithm to assign subjects to one of several categories based on ICHD-3 (beta) criteria. Following a pre-registered protocol, this result was compared to prior diagnostic classification by a neurologist following a direct interview.ResultsOf 118 subjects contacted, 90 (76%) completed the questionnaire; of these 31 were headache-free, 29 migraine without aura (MwoA), and 30 migraine with aura (MwA). Mean age was 41 ± 6 years and 76% were female. There were no significant demographic differences between groups. The median time to complete the questionnaire was 2.5 minutes. Sensitivity of the POEM tool was 42%, 59%, and 70%, and specificity was 100%, 84%, and 94% for headache-free, MwoA, and MwA, respectively. Sensitivity and specificity of the POEM tool for migraine overall (with or without aura), was 83% and 90%, respectively.ConclusionsThe POEM web-based questionnaire, and associated analysis routines, identifies headache-free and migraine subjects with good specificity. It may be useful for classifying subjects for large-scale research studies.Trial Registration:https://osf.io/sq9ef

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