INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Teaching Aptitude is the innate ability or the interest of a person to acquire the required skills towards teaching through proper training. Studies reveal that there is a significant positive correlation between teaching aptitude and success in teaching and teaching effectiveness. It has been observed in recent times that a large number of students get themselves enrolled in a Bachelor of Education (B.Ed.) course without having any interest or aptitude towards the profession. So, the present paper is an attempt to study on the Teaching Aptitude of B.Ed Trainees of Upper Assam. Teaching Aptitude Test developed by S.C Gakhar and Rajnish is used for the study. Descriptive and Inferential statistics is used for analysing the data. The study found that majority of the B.Ed. trainees’ fall in the category of above average teaching aptitude; female B.Ed. trainees are found to have higher teaching aptitude than male teacher trainees. Both arts and science background B.Ed. trainees and graduate and post graduate B.Ed. trainees have the same aptitude towards teaching.
"A Study on the Teaching Aptitude of B.Ed. Trainees of Upper Assam, India", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 12, page no.a203-a209, December-2023, Available :http://www.ijnrd.org/papers/IJNRD2312029.pdf
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2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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