Purpose This study examines learner readiness and satisfaction with blended learning systems in India’s post-vaccine classrooms, focusing on the relationship between face-to-face (F2F), online ...learning (OL), and blended learning (BL) indicators and identifying which predictors within these systems most significantly affect learners’ satisfaction (LS). Design/methodology/approach An online survey was conducted with 451 students from both public and private universities in India. The data were analyzed using factor analysis and confirmatory factor analysis, followed by multiple regression to test the hypotheses. Findings The findings reveal a significant positive correlation between learners’ satisfaction and online learning and blended learning, with β values of 28.3 and 27.2, bearing a p -value of 0.000. In contrast, face-to-face (F2F) learning was insignificant, with a β value of 0.070 and a p -value of 0.119. These insights underscore the effectiveness of online and blended learning formats in enhancing learner satisfaction in higher education while also suggesting a re-evaluation of the role of traditional F2F learning methods. The research supports the integration of online learning in higher education due to its balanced mix of teacher-led and student-centered instruction, alongside the practical benefits of reduced travel costs and access to independent study resources. Practical implications This study provides insights into student perceptions and attitudes towards blended learning in India’s post-vaccine classrooms. It highlights the importance of tailoring blended learning strategies to meet colleges’ and universities’ diverse learning needs and goals in this evolving context. The findings serve as a valuable resource for educators and administrators, aiding in designing effective blended learning frameworks suited explicitly for higher education in India. Originality/value While there is extensive literature on F2F, OL, and BL, limited research compares these learning approaches and their impact on learner satisfaction within the Indian higher education context. This study fills this gap by providing valuable insights for shaping educational strategies in India’s post-vaccine classrooms.
Ambiguity has always been a pain in the neck of Natural Language Processing (NLP). Despite enormous AI tools for human language processing, it remains a key concern for Language Technology ...Researchers to develop a linguistically intelligent tool that could effectively understand linguistic ambiguity and creativity possessed by human language. In this regard, the newly designed AI tool ChatGPT has dramatically attracted human attention due to its remarkable ability to answer human questions from a wide range of domains, which needs a reality check. This article scrutinises ChatGPT’s ability to answer and interpret neologisms, codemixing, and linguistically ambiguous sentences. For this, we have tested lexically, syntactically, and semantically ambiguous expressions, codemixed words, as well as a few language game instances. The findings show that ChatGPT still fails to understand linguistically complex sentences, specifically those common in everyday discourse or not part of any standard textbook. More specifically, semantically ambiguous sentences and language games remain an uphill task for ChatGPT to understand. This has implications for further improving the output of ChatGPT.
The COVID-19 pandemic came with a flux of new words, terminologies, and phrases, which led to the rapid coinage or neologisms in the world's different languages. These lexical innovations may take ...place within one language as well as with the combination of two different languages. Therefore, this paper scrutinizes coroneologisms and word-formation processes in Hindi-English code-mixed words. Such a phenomenon happened due to the acceptance of English by Indians besides their mother tongue which makes them bilingual. The data were gathered from newspapers, blogs, social media, TV news, etc. Next, the linguistic analysis of the data revealed different types of word classes in Hindi-English codemixed words such as compounding, affixation, blending, and reduplication. Out of these, compounding and borrowing were reported as the most productive types of coroneologisms in Hindi-English code-mixed words.
Newspapers occupy a significant place in the life of a modern civilized man. They have evolved in due course, to create a distinctive language of their own which, while sharing core features with the ...language of common use, has different ways of conveying messages. The language used in newspapers is also different from literary language but sometimes of a higher standard than the day to day language of communication. Fowler et al. (1979:3) regarded newspapers as exemplifying instances of 'real' language by which they mean "linguistic structures". Used to explore, systematize, transform, and often obscure analysis of reality, to regulate the ideas about behaviour of other people, to classify and rank people, events and objects, to assert institutional or personal status. It clearly shows the actual expectations of society. The main objective of this paper is to discuss the language of matrimonial columns. With a view to explore the data for this paper, material was collected directly from English newspapers which publish a separate column for matrimonial adverts.
