The incorporation of artificial intelligence (AI) into language education has created new opportunities for improving the instruction and acquisition of Chinese characters. Nevertheless, the cognitive difficulties linked to the acquisition of Chinese characters, such as their intricate visual features and lack of clear meaning, necessitate thoughtful deliberation when developing AI-supported learning interventions. The objective of this project is to explore the capacity of a collaborative method between humans and machines in teaching Chinese characters, utilising the advantages of both human expertise and AI technology. We specifically investigate the utilisation of ChatGPT, a substantial language model, for the creation of instructional materials and evaluation methods aimed at teaching Chinese characters to individuals who are not native speakers. The study utilises a mixed-methods approach, which involves both qualitative examination of lesson plans created by ChatGPT and quantitative evaluation of student learning outcomes. The results indicate that the suggested framework for human-machine collaboration can successfully tackle the cognitive difficulties associated with learning Chinese characters, resulting in enhanced learner involvement and performance. Nevertheless, the research also emphasises the constraints of AI-generated material and the significance of human involvement in guaranteeing the accuracy and dependability of educational interventions. This research adds to the expanding collection of literature on AI-assisted language learning and offers practical insights for educators and instructional designers who aim to use AI tools into Chinese language curriculum. The results emphasise the necessity of employing a multi-disciplinary strategy in AI-supported language learning, incorporating knowledge from cognitive psychology, educational technology, and second language acquisition.

Manual scavenging refers to the practice of manually cleaning, carrying, disposing or handling human excreta from dry latrines and sewers. It is one of the most dehumanizing and deplorable practices that violate basic human rights and dignity. This practice is linked to India’s caste system where so-called lower castes are expected to perform this job. Despite being outlawed in 1993, manual scavenging continues to exist in India due to socio-economic discrimination and lack of rehabilitation of manual scavengers. This paper attempts to provide an in-depth understanding. The harsh realities by qualitative systemic review of manual scavenging in India and how it negatively impacts human rights. It reviews relevant literature on the prevalence, causes, adverse effects, and laws against manual scavenging. The results indicate that manual scavenging is still practiced across many states in India. Manual scavengers face grave health hazards and socio-economic hardships. The laws against manual scavenging have failed to abolish this practice due to administrative apathy, lack of rehabilitation support for liberated scavengers, and continued prevalence of dry latrines necessitating manual disposal of excreta. The paper emphasizes the need for more concerted efforts by the government and civil society to end manual scavenging to uphold human rights, dignity, and justice for all. There is an urgent need for extensive awareness campaigns, social support, and proper rehabilitation of liberated scavengers into alternative professions.

The present study aims at analyzing the various factors influencing consumer attitudes towards the adoption of electric vehicles (EVs) in Saudi Arabia. The study evaluates consumer attitudes, their impact on shaping behaviours, and whether consumer intention mediates the relationship between consumer attitude and purchase behaviour towards EVs. This research employs a mixed-method approach, including literature review, surveys, and data analysis. It investigates EV adoption dimensions encompassing individual, social, economic, and environmental factors. Data collected from 397 current and potential EV owners in Saudi Arabia provide insights into their attitudes and behaviours. Survey findings indicate that in Saudi Arabia, safety rating, social influence, economic value, operating cost, and product variety significantly shape consumer attitudes and influence EV adoption. However, factors like range anxiety, charging infrastructure, environmental concern, and performance expectancy are less significant in affecting consumer attitudes toward EVs and their adoption. Investigating multiple dimensions and employing a mixed-method approach, the study enhances the existing knowledge of consumer attitudes toward EVs in the unique context of Saudi Arabia’s sustainable mobility transition. Policymakers and industry stakeholders can utilize these findings to expedite the shift to sustainable transportation in the Kingdom. This research also guides future investigations in this burgeoning field.