Performance evaluation of students using online courses

Autor:	S. Sankar Ganesh, Win Sein, Peer Mohammad Ashraf, Peerzada Danish, Anita Jessie J
Rok vydání:	2020
Předmět:	Multidisciplinary business.industry Online learning E-learning (theory) education Questionnaire Correlation Mathematics education Effective method The Internet Analysis of variance business Psychology Statistical software
Zdroj:	Indian Journal of Science and Technology. 13:1440-1449
ISSN:	0974-5645 0974-6846
DOI:	10.17485/ijst/v13i13.307
Popis:	Objectives: The present study was aimed to find the effective method to assess the performance of students and their interest towards e-learning. Methods: Questionnaire survey was conducted among Indian students and their response were identified on various aspects; assessment, interaction, evaluation and feedback. Statistical analysis: The responses were collected and the data were analyzed with statistical software. Results: Interaction and evaluation aspects had high impact; signifying 40% of the students agree that online learning is more effective, innovative and convenient than the conventional way of learning. Assessment and interaction showed the highest positive correlation (0.564) when compared to the evaluation and feedback (0.440). The evaluation has attained significant value in the statistical analysis of ANOVA. Keywords: Internet; Assessment; e-learning; Statistical software; Correlation
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::a02015e9202c4e1471c04a681ec5b235 https://doi.org/10.17485/ijst/v13i13.307 Zobrazit plný text záznamu