Students attending monolingual, bilingual, or trilingual schools at secondary level: does it influence their academic performance in a university bilingual Biology module?

Author(s):  
Pablo Antonio Archila ◽  
Giovanna Danies ◽  
Anne-Marie Truscott de Mejía ◽  
Silvia Restrepo ◽  
Jorge Molina
2021 ◽  
Vol 2 (2) ◽  
pp. 7-14
Author(s):  
Shabiha Anjum

The present study aims to observe the impact of extracurricular activities on the academic performance of students at the secondary level in Multan city. All the students at the secondary level in the public sector of Multan city are the population of this study. Three hundred student’s 9th and 10th classes from (two) secondary schools from Multan city were selected. For this study, the researcher uses a simple random sampling technique. A total of 30 survey questions were developed based on Likert-scale type statement options (SA, A, N, DA, SDA), keeping in mind the objective of the study. The data were tabulated and analyzed by using descriptive statistical techniques. The MS-Excel is used for the descriptive analysis of the data. The study concluded that there is a severe need for the introduction of extracurricular activities, orientation programs for the students of secondary level. Extracurricular activities have a positive influence on students' life by improving their behavior, academic performance, better exam scores, more regular class attendance, a better self-image, due to these aspects which makes the students life more successful. Finally, the study suggests that Government should support the introduction of extracurricular activities in all secondary schools, allocate special funds, appoint special trainers/teachers, and fix their pay equal to other subject teachers.


2021 ◽  
Vol VI (II) ◽  
pp. 105-113
Author(s):  
Muhammad Asghar Ali ◽  
Kosar Younas ◽  
Muhammad Mushtaq

The purpose of the research is to find out the impact of continuous assessment techniques such as oral tests, written test home assignments and re-cape exercises on the academic performance of students at the secondary level. Present research work revolves around some salient issues on continuous assessment implementation with emphasis on the empirical impact of continuous assessment on the academic performance of students in secondary schools. The descriptive research design is most suitable for data collection. Researchers use a simple random sampling technique for sample selection. This study was continued with a sample of 226 secondary school teachers, of which 80 female teachers and 146 were male and 300 students of secondary level. The finding of research shows that four continuous assessment techniques have a significant effect on academic performance. It is recommended that techniques such as oral tests, written tests, home assignments and re-cape exercises should be used for enhancing the academic performance of students at the secondary level.


2021 ◽  
Vol 11 (24) ◽  
pp. 11845
Author(s):  
Ansar Siddique ◽  
Asiya Jan ◽  
Fiaz Majeed ◽  
Adel Ibrahim Qahmash ◽  
Noorulhasan Naveed Quadri ◽  
...  

In the past few years, educational data mining (EDM) has attracted the attention of researchers to enhance the quality of education. Predicting student academic performance is crucial to improving the value of education. Some research studies have been conducted which mainly focused on prediction of students’ performance at higher education. However, research related to performance prediction at the secondary level is scarce, whereas the secondary level tends to be a benchmark to describe students’ learning progress at further educational levels. Students’ failure or poor grades at lower secondary negatively impact them at the higher secondary level. Therefore, early prediction of performance is vital to keep students on a progressive track. This research intended to determine the critical factors that affect the performance of students at the secondary level and to build an efficient classification model through the fusion of single and ensemble-based classifiers for the prediction of academic performance. Firstly, three single classifiers including a Multilayer Perceptron (MLP), J48, and PART were observed along with three well-established ensemble algorithms encompassing Bagging (BAG), MultiBoost (MB), and Voting (VT) independently. To further enhance the performance of the abovementioned classifiers, nine other models were developed by the fusion of single and ensemble-based classifiers. The evaluation results showed that MultiBoost with MLP outperformed the others by achieving 98.7% accuracy, 98.6% precision, recall, and F-score. The study implies that the proposed model could be useful in identifying the academic performance of secondary level students at an early stage to improve the learning outcomes.


2020 ◽  
Vol 15 (01) ◽  
pp. 01-04
Author(s):  
Gulnaz Khan

This study aimed to explore the present status of utilization of the available educational opportunities designed and available for the girls and their counterparts. First of all, to gather the information from the various secondary level sources, a table was designed. Therefore, the authority and the websites of the Census, CBSE, Delhi, ICSE, Delhi, and Allahabad Board, UP was contacted. After seeking their permission, the data was collected and compiled in the designed tables, so that it could fulfill the objectives of the undertaken research. Similarly, focused group discussions were also held with the parents and community members to identify the factors responsible for the girl’s education. The findings of the study reveal that girls have been able to raise their academic status within the available educational opportunities.


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