scholarly journals Research on Performance Management of Administrative Departments in Colleges and Universities

2018 ◽  
Vol 9 (1) ◽  
pp. 22-45
Author(s):  
Kideste Yusef ◽  
Randy B. Nelson ◽  
Felecia Dix-Richardson

The current climate of criminal justice agencies reveals eroding community trust of local police advanced by growing attention to violence among police and citizens, differential justice in our courts, limited governmental accountability, and decades of overreliance on the correctional system and the mass incarceration of our most vulnerable citizens. The policies and practices of criminal justice agencies coupled with the conditions in which many Americans live have contributed to an overrepresentation of African Americans/Blacks within police interactions and arrests, in courts and sentencing, corrections, and juvenile justice. Similarly, the underrepresentation of African American/Blacks as practitioners and workers within these agencies have yielded a dichotomized view in which African Americans represent “the most of the worst and least of the best.” In effort to reverse these trends, the Florida Historically Black Colleges and Universities Expanding the Bench Project utilizes the consortium of Florida’s Historically Black Colleges and Universities (FL HBCUs) as an effective mechanism to educate and train criminal justice, sociology, social work, education, psychology, and STEM science faculty and students on performance management using the Results-Based Accountability framework. The purpose of the Annie E. Casey Foundation sponsored project is to increase the representation of people of color with knowledge and expertise in program evaluation. With approximately 3,000 students (undergraduate/graduate) and 30+ faculty members represented among the social, education, and behavioral science disciplines of FL HBCUs, the consortium is uniquely positioned to develop and train current and future human service professionals, leaders, and experts in Florida and nationally.


2021 ◽  
Vol 2066 (1) ◽  
pp. 012078
Author(s):  
Yuanfu Mao ◽  
Zhifeng Yu

Abstract With the acceleration of the application of information technology in Colleges and universities in China, the efficiency of higher education is constantly improving. The focus of teaching management in Colleges and universities is to continuously improve the teaching level of colleges and universities, and the key is to strengthen the management of students’ performance. Performance warning is a form of student performance management. In recent years, data mining technology is more and more mature, and its application is also very wide. Many students have applied data mining technology to university management. In this paper, we apply data mining technology to college students’ performance early warning, and use Apriori algorithm in association rules to design and build college students’ performance early warning platform, and select two classes of students as the research object to verify. In this study, we choose the English course scores of two classes as the test data, and define the performance warning, which is based on the score below 60. The results show that six students in class a will be subject to performance warning, while seven students in class B will be subject to performance warning. In addition, the performance early warning platform designed by this method, the early warning accuracy rate is as high as 92.85%, the accuracy rate is high, has certain application advantages.


2017 ◽  
Vol 58 (2) ◽  
pp. 187-193 ◽  
Author(s):  
Yaxi Zhao ◽  
Loredana Marchica ◽  
Jeffrey L. Derevensky ◽  
Howard J. Shaffer

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