Do learner’s gender and ethnicity really matter for academic performance evaluation

2009 ◽  
Vol 2 (2) ◽  
pp. 28-51
Author(s):  
Elvia Shauki ◽  
Ratnam Alagiah ◽  
Brenton Fiedler ◽  
Krystyna Sawon
Keyword(s):  
Academic Performance ◽  
Performance Evaluation

scholarly journals The community of researchers and “academic performance” evaluation

2021 ◽  
Vol 50 (2) ◽  
pp. 164-170
Author(s):  
L.I. Jakobson ◽  
Keyword(s):  
Academic Performance ◽  
Performance Evaluation ◽  
Performance Management ◽  
Correct Evaluation ◽  
Evaluation Systems ◽  
Ideal Solutions ◽  
Science Management ◽  
Community Of Researchers ◽  
The Cost ◽  
Working Out

An evaluation of “academic performance” is considered in the context of performance management in the sphere of science. An emphasis is made on the dependence of the evaluation on interests and, accordingly, on an inherently unrealistic development of an “objectively correct” evaluation which would be unanimously approved by those whose interests are not identical. A variety of researchers’ interest is stated together with a lack of institutionalized norms for working out a consolidated position. At the same time, the paper points out the deep-rooted nonidentical nature of the interests of scientists and those who design and implement the policy in the sphere of science. The demand of policy subjects for the formalization of evaluations, even at the cost of roughening the realities is also underscorred. Considering these realities, the conclusion is made about the hopelessness of the search for ideal solutions. At the same time, another conclusion is made that “academic performance” evaluation implemented in the sphere of science management could gradually become more acceptable for researchers. However, it depends not so much on the study and discussions of various evaluation systems as on the development of the research community and the formation of conditions for an effective dialogue between the latter and the subjects of the science policy.

Students’ Opinion on the Faculty Performance Evaluation Instrument

2012 ◽  
Vol 9 (1) ◽  
Author(s):  
Francis Ann R. Sy ◽  
Violeta B. Felisilda
Keyword(s):  
Academic Performance ◽  
Performance Evaluation ◽  
Teaching Effectiveness ◽  
Student Evaluation ◽  
Evaluation Process ◽  
Degree Program ◽  
State University ◽  
Evaluation Instrument ◽  
Faculty Performance ◽  
The Mean

Students’ feedback on faculty performance is an influential measure in obtaining the objectives of teaching effectiveness. Southern Leyte State University-Tomas Oppus usually experiences student evaluation reactions on faculty performance. Considering that success of the evaluation process is the instrument itself, this research dealt with students’ degree program profile and academic performance; determined their opinion on the criteria’s appropriateness and the instrument’s validity, reliability, objectivity, and utility and their attitude upon it; and, determined relationship between academic performance and degree program on opinions of the four criteria. Through the descriptive one shot survey, stratified sampling was employed to college freshmen, juniors and seniors with different courses of SY 2010-2011. The mean, percentage, frequency, and chisquare were used. The students’ opinion on the appropriateness of the criteria was very appropriate and very high on the four criteria. They manifested positive attitude on the instrument. Their academic performance and degree program have no significant relationship with their opinion on the instrument. Student’s opinion of the evaluation instrument was very appropriate, yet, it has to be revisited because some items, though minimal, were moderately appropriate. Keywords - Performance Evaluation Instrument, Southern Leyte State University-Tomas Oppus

scholarly journals Identifying Mis-Configured Author Profiles on Google Scholar Using Deep Learning

2021 ◽  
Vol 11 (15) ◽  
pp. 6912
Author(s):  
Jiaxin Tang ◽  
Yang Chen ◽  
Guozhen She ◽  
Yang Xu ◽  
Kewei Sha ◽  
...  
Keyword(s):  
Machine Learning ◽  
Academic Performance ◽  
Performance Evaluation ◽  
Deep Learning ◽  
Computer Science ◽  
Citation Analysis ◽  
Case Studies ◽  
Google Scholar ◽  
Manual Annotation ◽  
University Ranking

Google Scholar has been a widely used platform for academic performance evaluation and citation analysis. The issue about the mis-configuration of author profiles may seriously damage the reliability of the data, and thus affect the accuracy of analysis. Therefore, it is important to detect the mis-configured author profiles. Dealing with this issue is challenging because the scale of the dataset is large and manual annotation is time-consuming and relatively subjective. In this paper, we first collect a dataset of Google Scholar’s author profiles in the field of computer science and compare the mis-configured author profiles with the reliable ones. Then, we propose an integrated model that utilizes machine learning and node embedding to automatically detect mis-configured author profiles. Additionally, we conduct two application case studies based on the data of Google Scholar, i.e., outstanding scholar searching and university ranking, to demonstrate how the improved dataset after filtering out the mis-configured author profiles will change the results. The two case studies validate the importance and meaningfulness of the detection of mis-configured author profiles.

The appreciative democratic voice of DEA: A case of faculty academic performance evaluation

2014 ◽  
Vol 48 (1) ◽  
pp. 20-28 ◽  
Author(s):  
Muhittin Oral ◽  
Amar Oukil ◽  
Jean-Louis Malouin ◽  
Ossama Kettani
Keyword(s):  
Academic Performance ◽  
Performance Evaluation
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