Confidentiality of student records in the electronic frontier: professors' and administrators' obligations

2000 ◽  
Vol 18 (4) ◽  
pp. 301-313 ◽  
Author(s):  
William Hillison ◽  
Carl Pacini ◽  
Paul F Williams
Keyword(s):  
Student Records ◽  
Electronic Frontier

A Silenced Population

Crisis ◽  
2017 ◽  
Vol 38 (6) ◽  
pp. 433-442 ◽  
Author(s):  
Kim Gryglewicz ◽  
Melanie Bozzay ◽  
Brittany Arthur-Jordon ◽  
Gabriela D. Romero ◽  
Melissa Witmeier ◽  
...  
Keyword(s):  
At Risk ◽  
Depressive Symptomatology ◽  
The United States ◽  
Future Research ◽  
At Risk Youth ◽  
Peer Relationship ◽  
Student Records ◽  
Cross Sectional ◽  
Increased Risk ◽  
Method Student

Abstract. Background: Given challenges that exceed the normal developmental requirements of adolescence, deaf and hard-of-hearing (DHH) youth are believed to be at elevated risk for engaging in suicide-related behavior (SRB). Unfortunately, little is known about the mechanisms that put these youth potentially at risk. Aims: To determine whether peer relationship difficulties are related to increased risk of SRB in DHH youth. Method: Student records (n = 74) were retrieved from an accredited educational center for deaf and blind students in the United States. Results: Peer relationship difficulties were found to be significantly associated with engagement in SRB but not when accounting for depressive symptomatology. Limitations: The restricted sample limits generalizability. Conclusions regarding risk causation cannot be made due to the cross-sectional nature of the study. Conclusion: These results suggest the need for future research that examines the mechanisms of the relationship between peer relationship difficulties, depression, and suicide risk in DHH youth and potential preventive interventions to ameliorate the risks for these at-risk youth.

Transgender Students

2018 ◽  
Author(s):  
Suzanne E. Eckes ◽  
Maria M. Lewis
Keyword(s):  
School Districts ◽  
Gender Identity ◽  
Legal Framework ◽  
Legal Issues ◽  
Cutting Edge ◽  
Legal Authority ◽  
Relevant Research ◽  
Student Records ◽  
Growing Body ◽  
Transgender Students

Controversies over school policies that impact transgender students have garnered increased attention in recent years. For example, some transgender students have been prohibited from using the restroom that aligns with their gender identity, and others have not been addressed by their preferred names. Thus, in this chapter, we focus on cutting-edge issues that relate specifically to transgender students. In doing so we explore the legal landscape related to transgender student inclusion. We will begin with an overview of relevant research, followed by a presentation of the legal framework and finishing with a discussion of important legal issues, including topics such as access to facilities, privacy, pronouns and student records, athletics, and dress codes. As this chapter will demonstrate, unprecedented efforts in research have revealed alarming inequities experienced by transgender individuals. Concurrently, with some limitations or exceptions, there is a growing body of legal authority that has been successfully relied upon to protect the rights of transgender students. To be certain, the law impacting transgender individuals is multifaceted and evolving. Of notable significance, transgender students who have initiated legal claims against school districts for their discriminatory practices have all ended in favorable outcomes for the students.

Explaining the Variability in School Nurse Workload and Educational Outcomes

2021 ◽  
pp. 019394592110179
Author(s):  
Claire McKinley Yoder ◽  
Mary Ann Cantrell ◽  
Janice L. Hinkle
Keyword(s):  
High School ◽  
Educational Outcomes ◽  
Structural Equation ◽  
Secondary Analysis ◽  
School Nurse ◽  
Equation Model ◽  
Individual Student ◽  
Student Records ◽  
9Th Grade ◽  
Nurse Workload

This secondary analysis examined the variability in the effects of school nurse workload on individual student outcomes of 9th grade attendance, being on track to graduate, and high school graduation. A principal axis factor analysis of the variables underlying school nurse workload and a structural equation model of the latent construct school nurse workload in 5th grade and the three outcome variables was tested using data from student records ( N = 3,782). Two factors explained 82% of the variability in school nurse workload: acuity and volume factor and social determinants of health factor. The model had acceptable fit indices and school nurse workload explained between 35% and 52% of the variability in the outcomes with a moderate effect size (.6–.72). Creating school nurse workload assignments that maximize student educational outcomes may improve graduation from high school, which in turn increases the resources available for lifelong health.

scholarly journals Integrating machine learning and blockchain to develop a system to veto the forgeries and provide efficient results in education sector

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Dhruvil Shah ◽  
Devarsh Patel ◽  
Jainish Adesara ◽  
Pruthvi Hingu ◽  
Manan Shah
Keyword(s):  
Machine Learning ◽  
Education Sector ◽  
Student Records ◽  
Job Roles ◽  
Student Data ◽  
Disruptive Technologies ◽  
Valid Data ◽  
The Future ◽  
Student Achievements ◽  
The University

AbstractAlthough the education sector is improving more quickly than ever with the help of advancing technologies, there are still many areas yet to be discovered, and there will always be room for further enhancements. Two of the most disruptive technologies, machine learning (ML) and blockchain, have helped replace conventional approaches used in the education sector with highly technical and effective methods. In this study, a system is proposed that combines these two radiant technologies and helps resolve problems such as forgeries of educational records and fake degrees. The idea here is that if these technologies can be merged and a system can be developed that uses blockchain to store student data and ML to accurately predict the future job roles for students after graduation, the problems of further counterfeiting and insecurity in the student achievements can be avoided. Further, ML models will be used to train and predict valid data. This system will provide the university with an official decentralized database of student records who have graduated from there. In addition, this system provides employers with a platform where the educational records of the employees can be verified. Students can share their educational information in their e-portfolios on platforms such as LinkedIn, which is a platform for managing professional profiles. This allows students, companies, and other industries to find approval for student data more easily.

Family Life Pathfinders on the New Electronic Frontier

1999 ◽  
Vol 48 (1) ◽  
pp. 31 ◽  
Author(s):  
Charles A. Smith
Keyword(s):  
Family Life ◽  
Electronic Frontier

A Computer Tutorial on Consequences in Operant Learning

1997 ◽  
Vol 24 (3) ◽  
pp. 216-217 ◽  
Author(s):  
Robert B. Graham
Keyword(s):  
Correct Answer ◽  
Operant Learning ◽  
Study Guide ◽  
Questionnaire Data ◽  
General Psychology ◽  
Student Records ◽  
Student Reaction ◽  
Computer Tutorial ◽  
Behavioral Programming ◽  
Course Credit

This article describes a computer tutorial that teaches the fundamentals of consequences and contingencies in operant teaming. The tutorial content is appropriate for courses in general psychology, learning, and behavioral programming. Applications to animal and human situations are emphasized. The software repeats questions until the student is able to provide the correct answer, but spaces its repetitions to maximize retention. It saves student records as a basis for assignment of course credit. Student reaction to this form of presentation was very favorable. Questionnaire data showed that the students perceived the tutor as more useful in preparing for a test than a text or study guide would have been.

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