Interactive Edification: The Effectual Approach for Apprentices

This paper focuses axis of concentration on the brunt of the interactive edification and the preferences for the recent astuteness in educational associations. In seeking to expand the lenient, indulgent, constraint and understanding of interactive edification strategy on the apprentices, it assesses the affiliation between the regular and effectual measures. Students in a fully interactive based learning surroundings achieved better performance and higher levels of contentment than those in a traditional classroom and those in a less interactive learning atmosphere. The fallout of study designate that there are impacts of an interactive edification and its progression is exceedingly esteemed by the recent world to steadiness the superiority and antagonism in terms of individual advancement and the career elucidation. The study activated by the triangulation of the data derivation and undeviating surveillance of the newest features under succession of students’ acceptances. Keywords: Interaction, Education, Interactive Edification, Apprentic

The Substances of Digital Media in Inventive Diligence: Milieu of Bangladesh

The study scrutinizes the indispensable issues of digital media in the business arena of Bangladesh in term of potential panorama. Digital Bangladesh is a wonderful vision that is dreamt by the government and the literate class for the technological development of Bangladesh. The benefits of digital Bangladesh are many. It will make people think globally and connect them with the whole world economically, socially, politically, academically and even culturally. To make our country digital first of all, uninterrupted power supply has to be ensured and we have to develop computer network skill and ensure equitable access. Bangladesh is re-sounding with the target of achieving digital Bangladesh. From the last decade the creative industries in this country are vastly motivated by modern technology and also open new arena for creative people to live their life as a freelancer for the global village. Digital environment also change the socio-economical situation. Most of the citizen of this country is using cell phone and also internet which is connected them to the global prospect. Key words: Digital Media, Diligences, Creative Industries, Digital Dimension

Consumer Rights Protection: Degree of Awareness and its Present Status in Bangladesh

Consumer rights are considered as the basic human right and violation of consumer rights is considered as the violation of the human rights. The ignorance of the consumers regarding their rights is a contributing factor to poor consumer rights protection in our country. This study aims at measuring the awareness and status of Bangladesh on consumer rights protection. Primary data has been collected from 450 representative samples besides analyzing available secondary data. It has been revealed through our study that 53.3 percent of the population is totally ignorant about their rights as consumer and the remaining 46.7 percent are knowledgeable about rights to a limited extent. 52 percent of the consumers of our country think that they are constantly being deceived by the egoistic businessmen. These consumers can’t do anything other than remaining silent. Our study has suggested a set of action plan classified into four categories i.e.: awareness building program, infrastructure development, legislative based action plan and law enforcing team development, to ensure the protection of consumer rights in Bangladesh. Keywords: Consumer Bill of Rights, Consumer Activist Group, Consumer Awareness, Anti-consumer Rights Practice

DPCSpell: A Transformer-based Detector-Purificator-Corrector Framework for Spelling Error Correction of Bangla and Resource Scarce Indic Languages

Spelling error correction is the task of identifying and rectifying misspelled words in texts. It is a potential and active research topic in Natural Language Processing because of numerous applications in human language understanding. The phonetically or visually similar yet semantically distinct characters make it an arduous task in any language. Earlier efforts on spelling error correction in Bangla and resource-scarce Indic languages focused on rule-based, statistical, and machine learning-based methods which we found rather inefficient. In particular, machine learning-based approaches, which exhibit superior performance to rule-based and statistical methods, are ineffective as they correct each character regardless of its appropriateness. In this work, we propose a novel detector-purificator-corrector framework based on denoising transformers by addressing previous issues. Moreover, we present a method for large-scale corpus creation from scratch which in turn resolves the resource limitation problem of any left-to-right scripted language. The empirical outcomes demonstrate the effectiveness of our approach that outperforms previous state-of-the-art methods by a significant margin for Bangla spelling error correction. The models and corpus are publicly available at https://tinyurl.com/DPCSpell.Comment: 23 pages, 4 figures, and 7 table

EWasteNet: A Two-Stream Data Efficient Image Transformer Approach for E-Waste Classification

Improper disposal of e-waste poses global environmental and health risks, raising serious concerns. The accurate classification of e-waste images is critical for efficient management and recycling. In this paper, we have presented a comprehensive dataset comprised of eight different classes of images of electronic devices named the E-Waste Vision Dataset. We have also presented EWasteNet, a novel two-stream approach for precise e-waste image classification based on a data-efficient image transformer (DeiT). The first stream of EWasteNet passes through a sobel operator that detects the edges while the second stream is directed through an Atrous Spatial Pyramid Pooling and attention block where multi-scale contextual information is captured. We train both of the streams simultaneously and their features are merged at the decision level. The DeiT is used as the backbone of both streams. Extensive analysis of the e-waste dataset indicates the usefulness of our method, providing 96% accuracy in e-waste classification. The proposed approach demonstrates significant usefulness in addressing the global concern of e-waste management. It facilitates efficient waste management and recycling by accurately classifying e-waste images, reducing health and safety hazards associated with improper disposal.Comment: 6 page