Impact of Blended Learning through Learn Smart Classroom on English Academic Writing Accuracy among School Students of FGEI Pakistan

Abstract

This study compares and contrasts the Learn Smart Classroom (LSC) model of blended learning for improving academic writing accuracy in English as a foreign language (EFL) for secondary school students in Pakistan's Federal Government Educational Institutions (FGEI) network. Using a mixed-methods concurrent triangulation methodology, the study analyses how digital scaffolds might overcome the limits of rote-based grammar-translation procedures, interlingual L1 transfer, and informal digital shorthand in academic writing. Qualitative/descriptive data from a comprehensive sample of English language teachers (Nₜ=41) with their FGEI campuses was cross-referenced with quantitative data from a cleaned and validated secondary school student sample (Nₛ=276). Vygotsky’s Sociocultural Theory, Sweller’s Cognitive Load Theory, and Krashen's Affective Filter Hypothesis guide the research. Descriptive statistical research shows that lecture-based writing instruction promotes grammatical, lexical, and syntactical errors, while the LSC's digital scaffolding and quick feedback loops greatly minimize writing errors. The considerable mismatch between high self-reported confidence in paragraph writing (M=4.00) and high syntactic and lexical mistakes, backed by educator feedback, prompts the investigation of students' competency. The study found that the LSC model's low-stakes, self-paced, and participatory setting helps overcome this emotional filter. These empirical findings indicate systemic integration, professional teacher training, and local curriculum modification to maintain the formal academic register of writing.