Student’s Performance Evaluation of an Institute Using Various Classification Algorithms

2017 ◽  
pp. 229-238 ◽  
Author(s):  
Shiwani Rana ◽  
Roopali Garg
Keyword(s):  
Performance Evaluation ◽  
Classification Algorithms ◽  
Student’S Performance

scholarly journals Student's Performance Evaluation by Fuzzy Logic

2016 ◽  
Vol 102 ◽  
pp. 98-105 ◽  
Author(s):  
Alibek Barlybayev ◽  
Altynbek Sharipbay ◽  
Gulden Ulyukova ◽  
Talgat Sabyrov ◽  
Batyrkhan Kuzenbayev
Keyword(s):  
Fuzzy Logic ◽  
Performance Evaluation ◽  
Student’S Performance

Teaching physiology by combined passive (pedagogical) and active (andragogical) methods.

1995 ◽  
Vol 268 (6) ◽  
pp. S66 ◽  
Author(s):  
D Richardson ◽  
B Birge
Keyword(s):  
Performance Evaluation ◽  
Teaching Methods ◽  
Information Source ◽  
Basic Material ◽  
Performance Outcome ◽  
Significant Difference ◽  
Other Information ◽  
Acceptable Model ◽  
Student’S Performance ◽  
Overall Performance

Pedagogy and andragogy are models of education based, respectively, on passive and active learning. This project compared two balanced sections of an undergraduate course in physiology. Both sections used the pedagogical method of didactic lectures to present basic material. Students in section 01 were given multiple-choice examinations, a pedagogical procedure, over the lecture content for the purpose of performance evaluation. In section 02 the lectures were used as an information source, which students combined with other information researched in the library to draft essays on assigned topics, i.e., an andragogical approach. Grading of the essays constituted 75% of a student's performance evaluation, with participation in class discussions making up the remaining 25%. There was no significant difference in overall performance outcome between the two sections (P > 0.47). Students from both sections valued the lectures, even though they served a different purpose in each section. However, overall the student rating of section 02 was significantly higher than that of section 01 (P < or = 0.05). This reflected different teaching methods rather than different teachers, because the ratings of the two instructors were virtually identical (P > 0.98). These results suggest that a combined pedagogical and andragogical approach is an acceptable model for teaching introductory physiology.

scholarly journals Classification Approach for Evaluating Students Performance in Covid 19 Pandemic

2021 ◽  
Vol 10 (4) ◽  
pp. 110-113
Author(s):  
Poonam Sawant ◽  
Sachin Gupta ◽  
Yogesh Sharma ◽  
Anamika Singh
Keyword(s):  
Performance Evaluation ◽  
Student Performance ◽  
Evaluation System ◽  
Predictive Analytics ◽  
Educational Institutions ◽  
Classification Approach ◽  
Performance Evaluation System ◽  
Machine Learning Classifiers ◽  
Online Platforms ◽  
Student’S Performance

Student performance evaluation and analysis is a necessary task for improving students’ quality now a days. The main aim of this research is to analyze students’ performance during Covid-19 pandemic. Covid-19 pandemic impact has been extensive, affecting the education sector in India as well as world. In attempt to reduce the spread of Covid-19 government decided to temporarily close educational institutions. In response to schools and colleges closures, UNESCO recommended the use of distance learning programmes and online platforms to reach learners remotely and limit the disruption of education. This impacts not only on students’ phycology, on their performance too. Although there are many systems that have been implemented predictive analytics till date, better advancements is needed. Machine learning classifiers and related technologies can be used efficiently in performance evaluation. At the end of this paper, we have proposed an Architecture of Student’s Performance Evaluation System with classification techniques.

Sign in / Sign up

Export Citation Format

Share Document