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A Systematic Examination of Teachers’ Optimism Based on Gender in A Diverse Educational Context Islam, Md. Muzahid; Mimi, Afshana; Khatun, Murshida; Sarker, Pramath Chandra; Haque, Md. Nazmul
International Journal of Multi Discipline Science (IJ-MDS) Vol 8, No 1 (2025): Volume 8 Number 1 February 2025
Publisher : STKIP Singkawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26737/ij-mds.v8i1.5845

Abstract

Optimism is a factor that evaluates variations in the extent to which individuals expect the future to be mostly fortunate. Additionally, it has a relationship with indicators of enhanced physical and mental health. This study evaluated the optimism levels of male and female teachers in distinct education settings, focusing particular attention on factors including gender, residence, and schooling level. The Revised Life Orientation Test (LOT-R) was utilised in the study as an instrument to evaluate teacher optimism. An equal number of teachers from primary and secondary schools, divided into gender-specific groups of 40, participated in this randomised sample study. Data were obtained using a questionnaire technique. MS Excel and GraphPad 8.0.1 were used to analyse the data. PAST edition 4.13 was utilised for creating the research's statistical figures within the context of the data evaluation process. The investigation's initial results demonstrated several notable patterns. First of all, male teachers were generally more optimistic than female teachers. Secondly, when it came to instructing in rural areas, male educators appeared more optimistic than female educators. Thirdly, male teachers were noticeably more optimistic in the field of their primary schooling. Lastly, there was a greater degree of optimism among male educators in the context of secondary school. This research would be a significant approach to promoting optimism in educational institutions and society by helping human development specialists understand how gender impacts optimism.
FROM CHALKBOARDS TO CHATBOTS: AI TOOLS FOR PERSONALISED LEARNING IN HIGHER EDUCATION IN BANGLADESH Haque, Md. Nazmul; Jahan, Mst. Musfak; Siddik, Abu Bokkor; Hossain, S M Saadat; Rahman, Mohammad Mustafizur
JTechLP: Journal of Technology in Language Pedagogy Vol 5, No 1, March (2026): JTechLP: Journal of Technology in Language Pedagogy
Publisher : Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/jtechlp.v5i1, March.83401

Abstract

This study explores the potential of Artificial Intelligence (AI) tools to improve teaching-learning pedagogy at the universities in Bangladesh, focusing on the development of personalized learning pathways for educators and students. Applying a mixed-methods research design, data were collected from 10 teachers and 40 students of six universities through a Google Docs questionnaire. The findings indicate a widespread acknowledgement of AI tools for their capacity to generate ideas and to clarify complex concepts, provide instant feedback, and adapt educational experiences to meet individual requirements. Most of the respondents reported that AI tools helped them personalize their learning paths, manage study time more effectively, and improve overall understanding through customized resources. Faculty members also acknowledge the value of AI in supporting teaching practices, mentioning its role in preparing course plans and lectures, and enabling quick access to relevant information. However, participants raised important concerns about ethical challenges, such as plagiarism, over-reliance on technology, and possible negative impacts on critical thinking and creativity. They emphasize the need for proper guidance and institutional support to use AI responsibly. As AI offers significant benefits for higher education, the study suggests that adequate training, academic integrity, and a balanced approach to preserve meaningful human-machine interaction in the learning process are needed to integrate AI in education.