scholarly journals Visual Progression Analysis of Student Records Data

Author(s):  
Mohammad Raji ◽  
John Duggan ◽  
Blaise DeCotes ◽  
Jian Huang ◽  
Bradley Vander Zanden
Keyword(s):  
Crisis ◽  
2017 ◽  
Vol 38 (6) ◽  
pp. 433-442 ◽  
Author(s):  
Kim Gryglewicz ◽  
Melanie Bozzay ◽  
Brittany Arthur-Jordon ◽  
Gabriela D. Romero ◽  
Melissa Witmeier ◽  
...  

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.


Author(s):  
Suzanne E. Eckes ◽  
Maria M. Lewis

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.


2021 ◽  
pp. 019394592110179
Author(s):  
Claire McKinley Yoder ◽  
Mary Ann Cantrell ◽  
Janice L. Hinkle

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.


Author(s):  
Dhruvil Shah ◽  
Devarsh Patel ◽  
Jainish Adesara ◽  
Pruthvi Hingu ◽  
Manan Shah

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.


1997 ◽  
Vol 24 (3) ◽  
pp. 216-217 ◽  
Author(s):  
Robert B. Graham

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.


2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anne Louise Nortcliffe ◽  
Sajhda Parveen ◽  
Cathy Pink-Keech

Purpose Black British minority ethnics (BME) students are nationally underachieving in comparison to their Ethnic Chinese and White peers, showing typically a 16 per cent graduate attainment gap in the UK. Previous research has suggested that the attainment gap could be explained by BME student disengagement, as the students typically commute from family home to University, and they work part time. However, peer-assisted learning (PAL) has been shown to have a positive impact on addressing and resolving student alienation and disengagement. However, a question still remains regarding whether student perceptions hold up to statistical analysis when scrutinised in comparison to similar cohorts without PAL interventions. The paper aims to discuss these issues. Design/methodology/approach This paper presents the results of a statistical study for two cohorts of students on engineering courses with a disproportionately high representation of BME students. The research method involved a statistical analysis of student records for the two cohorts to ascertain any effect of correlation between: PAL; student ethnicity; and student parental employment on student academic performance and placement attainment. Findings The results indicate that PAL has no significant impact on the academic performance; however, PAL has a positive impact on the placement/internship attainment for BME students and students from parental households with parents in non-managerial/professional employment. Research limitations/implications The research limitations are that the cohorts are small, but more equal diverse mix of different social categories than any other courses. However, as the cohorts are less than 30 students, comparing social categories the data sets are small to have absolute confidence in the statistical results of academic performance. Even the t-test has its limitations as the subjects are human, and there are multiple personal factors that can impact an individual academic performance; therefore, the data sets are heterostatic. Practical implications The results highlight that there is need for pedagogy interventions to support: ideally all BME students from all social categery to secure placements; BME students who are unable to go on placement to gain supplementary learning that has the same impact on their personal development and learning as placement/internship experience; and White students from managerial/professional family households to engage more in their studies. Social implications Not addressing and providing appropriate pedagogy interventions, in the wider context not addressing/resolving the BME academic and placement attainment gap, a set of students are being disadvantaged to their peers through no fault of their own, and compounding their academic attainment. As academics we have a duty to provide every opportunity to develop our student attainment, and as student entry is generally homogeneous, all students should attain it. Originality/value Previous research evaluation of PAL programmes has focused on quantitative students surveys and qualitative semi-structured research interviews with students on their student engagement and learning experience. On the other hand, this paper evaluates the intervention through conducting a quantitative statistical analysis of the student records to evaluate the impact of PAL on a cohort’s performance on different social categories (classifications) and compares the results to a cohort of another group with a similar student profile, but without PAL intervention implementation.


2019 ◽  
Vol 13 (3) ◽  
Author(s):  
Wally Boston ◽  
Sebastián R. Díaz ◽  
Angela M. Gibson ◽  
Phil Ice ◽  
Jennifer Richardson ◽  
...  

As the growth of online programs continues to rapidly accelerate, concern over retention is increasing. Models for understanding student persistence in the face-to-face environment are well established, however, the many of the variables in these constructs are not present in the online environment or they manifest in significantly different ways. With attrition rates significantly higher than in face-to-face programs, the development of models to explain online retention is considered imperative. This study moves in that direction by exploring the relationship between indicators of the Community of Inquiry Framework and student persistence. Analysis of over 28,000 student records and survey data demonstrates a significant amount of variance in re-enrollment can be accounted for by indicators of Social Presence.


2022 ◽  
Vol 6 ◽  
pp. 792-808
Author(s):  
Benzar Glen Grepon ◽  
◽  
Niño Baran ◽  
Kenn Migan Vincent Gumonan ◽  
Aldwin Lester Martinez ◽  
...  

Purpose–Colleges and Universities have been established to provide educational services to the people. Like any other organization, the school has processes and procedures similar to business or industry that involve admissions, processing of data, and generation of reports. Those processes are made possible through a centralized system in storing, processing, and retrieval of data and information, the majority of the schools in the country are already adopting computer-based systems to address their needs especially on their student and school-related transactions. The absence of a computer system and the complexity of the transactions of the college which makes the personnel be loaded with paper works in storingand keeping student records and information is the motivating factor why the School Management Information System has been designed and developed for a community college in the northern part of Mindanao.Method-This paper discusses the Major Functionalities and Modules of the systemthroughits implementation methodology which is the AgileModel and its impact on the delivery of services and procedures in the overall operation of the college.Results–The project has been evaluated based on ISO 25010,a quality model used for product/software quality evaluation systems. Based on the results of the evaluation, SMIS has been Functional, Usable, and Reliable with an average for every criterion above 4.04indicating very good performance based on a Likert scale descriptive interpretation.Conclusion–Based on the preceding findings of the study, the respondents agreed that the developed e-school system was functional and lifted the transaction process of the school. The faculty and staff have benefited from making use of the system. The overall quality and performance of the system was verygood in terms of functionality, usability, andreliability.Recommendations–It is recommended that future development such as the smartphone and tablet-based attendance monitoring should be integrated, a kiosk for grades and schedule viewing should also be placed inside the campus that is connected to the database server. Online student information systems should also be developed for the benefit of the students and parents, in easily monitoring school-related activities and requirements.Research Implications–The study enabled the centralization of school and student data in storing, processing and retrieval. The System has been implemented in the college and has been updated now and then for continuous quality improvement.


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