346 research outputs found
Promises and pitfalls of the Belt and Road Initiative
No full textFor more about the East-West Center, see http://www.eastwestcenter.org/Bipul Chatterjee and Saurabh Kumar, Executive Director and Policy Analyst, respectively, at CUTS International, explain that “China may accrue significant benefits if it reduces tariffs through free trade zones, particularly on products from BRI countries.
Enhanced Student Class Attendance by Using Concept of Flipped Classroom Approach
No full textPurpose: The absenteeism of students in the classroom at an education institute is the interventional issue for this study and the flipped classroom method is used to solve or minimize this issue.
Methodology: This study was conducted on 100 (before and after) students of the 2020-21 session (Bangla, English, Philosophy, Mathematics and Statistics courses) of two reputed colleges in Dhaka City. The collected data were analyzed and compared using independent t-test methods, where instructional intervention was an independent variable, and class attendance and mid-term mark were considered dependent variables.
Results: The results of this study show that the class attendance and mid-term exam mark of students in the two groups (flipped method and traditional method) are statistically significant at a 5% level of significance (class attendance t =15.54, p = 0.00, <0.05, mid-term exam mark, t =17.83, p = 0.00, <0.05). The classroom class attendance and mid-term exam mark for the students in the flipped method group (class attendance: mean score 89.62, mid-term exam mark: mean score 20.58) were significantly greater than that of the traditional method group (class attendance: mean score 49.22, mid-term exam mark: mean score 8.54).
Limitations: In this study, only 100 students’ data was collected from two reputed colleges in Dhaka city, consequently the results obtained from this study may not represent the overall context.
Contribution: These two statistical results indicate the flipped classroom approach is better than the traditional approach. Thus, applying flipped classroom model to teaching keeps students engaged in a variety of activities before/in/after class, increased learning interest, and reduces student absenteeism.
Novelty: The method applied in this study has opened new horizons instead of the long-standing conventional idea in the field of education
A novel latent factor model for recommender system
No full textABSTRACT Matrix factorization (MF) has evolved as one of the better practice to handle sparse data in field of recommender systems. Funk singular value decomposition (SVD) is a variant of MF that exists as state-of-the-art method that enabled winning the Netflix prize competition. The method is widely used with modifications in present day research in field of recommender systems. With the potential of data points to grow at very high velocity, it is prudent to devise newer methods that can handle such data accurately as well as efficiently than Funk-SVD in the context of recommender system. In view of the growing data points, I propose a latent factor model that caters to both accuracy and efficiency by reducing the number of latent features of either users or items making it less complex than Funk-SVD, where latent features of both users and items are equal and often larger. A comprehensive empirical evaluation of accuracy on two publicly available, amazon and ml-100 k datasets reveals the comparable accuracy and lesser complexity of proposed methods than Funk-SVD
Sustainability Marketing and Its Outcomes: A Discussion in the Context of Emerging Markets
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Fattening The Long Tail Items in E-Commerce
No full textChannelizing product sales with the aid of Recommender Systems is ubiquitous in e-commerce firms. Recommender systems help consumers by reducing their search cost by directing them to interesting and useful products. It also helps e commerce firms by pushing the range of products a user may purchase on their e-commerce platform. The emergence of marketplace model provides platform for large fragmented buyers and sellers, where shelf space is not a constraint. Owing to unlimited shelf space, it is in the interest of e-commerce platforms to push niche products to idiosyncratic users. However, the current recommender systems, in general, recommends popular and obvious products leading to a few Long-Tail items. In this paper, our focus is on matching the niche products to idiosyncratic users such that the needs of users are satiated. We propose an innovative and robust model of matrix factorization that engenders recommendations based on a user’s optimal liking of the long-tail items. We also propose an adaptive model that pursues to promote the long tail items in the recommendation list. Comprehensive empirical evaluations consistently show the gains of the proposed techniques for handling the long tail on real world data sets like Amazon dataset over different algorithms
Comparison of depression and anxiety levels among students: An observational study in Dhaka City
No full textElectronic Waste and Sustainability: Reflections on a Rising Global Challenge
No full textGlobalization, technological advancements, advent of the internet, near-universal availability of mobile phones and changing consumer preferences have led to a boom in the electrical and electronics industry. Such products are now available in almost all countries of the world. The increased availability and consumption of electronic products have also led to rapid rise in the volumes of electronic waste (e-waste) globally. Markets have traditionally not paid sufficient attention to post-consumption behavior for electronic products and hence safe disposal and management of e-waste has always remained a critical issue. There are significant sustainability issues related with e-waste at local as well as at global levels which call for increased attention of governments, businesses, and societies. This paper reflects on the sustainability aspects of e-waste and resulting global challenges. It also reviews the sustainability related issues due to e-waste from different approaches and offers discussion on the relevant policy implications
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