Browsing by Author "Al- Amin"

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Enforced CLT or disguised GTM?: investigating English curriculum implementation in secondary schools in Bangladesh”
(BRAC University, 2019-04) Mehedi, Istiaq Ahmed; Al- Amin
National curriculum and textbooks board (NCTB) curriculum of Secondary level in Bangladesh promotes communicative language teaching (CLT). NCTB curriculum is written to increase the practice of CLT in EFL (English as a foreign language) classrooms. Although CLT has been incorporated in the secondary curriculum, still most of the teachers struggle to implement this in their classroom. Therefore, the execution of the curriculum in classroom is still controversial and doubtful. In this research, researcher tried to explore whether teachers and practitioners are following the CLT method prescribed in the NCTB curriculum, or their effort turns out only to establish camouflaged GTM (Grammar-Translation method) which is trying to inaugurate CLT by following the GTM in Bangladeshi context. More specifically this research is exploring whether the NCTB curriculum promotes CLT or it is encouraging teaching practices which can be termed as disguised GTM. Qualitative research design is chosen for this research so that the phenomena can be explored in details. Researcher have taken intensive interviews of secondary level teachers from different backgrounds to see the bigger picture of this scenario. This research portrays a rich picture of teachers’ practices in the classroom. It also depicts the gap between the curriculum expectation and the real scenario of teaching and learning. At the end some recommendations were made to overcome some of the barriers identified in this research.
Impact of E-Marketing on Book Purchase Tendencies: An Empirical Study on University Undergraduate Students
(2024-06-25) Kabir, Md. Rishad; Hossain, Rashed; Al- Amin; Mahfuzur Rahman, Md.; Sawo, Md. Mehedi Hasan; Mani, Lisa
This study investigates the effects of e-marketing on customer behaviour in book purchases regarding e-mail marketing, social media marketing, and mobile marketing. It also examines the factors influencing the book-purchasing decision and how each e-marketing channel affects customer behaviour. These findings will be essential context for book industry marketers and stakeholders. This quantitative analysis was drawn from survey data in which 205 university undergraduate students from 3 public universities were participated. It is designed to determine the customer's level of acceptance of this or that e-marketing strategy. Regression analysis has been employed to test the relationship between e-marketing strategies and book-buying behaviour, and cross-tabulation has been used to detect demographic patterns. Unlike social media and mobile marketing, e-mail marketing does not affect consumers' intent to purchase books. Regression analysis shows the significance of concentrated marketing campaigns in influencing consumer behaviour. The study's insights might help those in the book sector improve their online advertising campaigns. Opportunities in the digital book market are increasing, and publishers and merchants may exploit them by targeting specific customer categories with tailored content. This study contributes to the existing literature by highlighting the different e-marketing strategies that affect people's decisions to buy books and the demographic factors that play a crucial role in creating these effects.
Prospective Artificial Intelligence (AI) Applications in the University Education Level: Enhancing Learning, Teaching and Administration through a PRISMA Base Review Systematic Review
(2024-10-20) Hossain, Rashed; Sohag, Hossain Jaman; Hasan, Farhatul; Ahmed, Shainjida; Al- Amin; Islam, Md. Mominul
Artificial Intelligent (AI) has been trying to improve education systems by enabling personalized learning, improving administrative efficiency and supporting decision making. This paper conducted the PRISMA based systematic methodology and article selection process were encompassed academic journal articles, conference papers and institutional reports with a focus on studies published between 2019 to 2024 such Key databases like Science Direct, IEEE Xplore and Google Scholar. After screening the 292 published articles, conferences, reports, 84 studies were finalized to conduct this paper for addressing the research gaps. While AI offers significant benefits, including personalized instruction and resource allocation, it also introduces ethical challenges related to data privacy, bias and equitable access to AI tools. The review highlights the role of AI in improving teaching efficiency through real time analytics and in supporting educators by automating routine tasks. Ethical considerations are addressed, particularly how universities manage data security and mitigate the risk of biased decision making. From the implication point of view, the study also explores possible solutions to bridge the digital divide, ensuring the students from diverse socio economic backgrounds can access AI driven learning tools. This research contributes to extend the relevant studies for the growing discourse on AI in education by offering practical insight and recommendations for maximizing AI’s potential while minimizing its risks, providing a roadmap for future research.