Technical assistance for the establishment of a distance learning environment for learning English is provided by the advancement of information technology and the educational information process. People are still getting used to online teaching methods, and it is becoming more widely accepted. E-learning and online education have advanced significantly in recent years. The teaching paradigm has moved from traditional classroom learning to dynamic web-based learning. As a result, instead of static information, learners have received dynamic learning material tailored to their abilities, requirements, and preferences. To improve the English learning material efficiency, this paper implements an online English learning system based on efficient learning material selection. The English learning materials are preprocessed using normalization. The dimensionality reduction of the data is done using the Kernel-based-Independent Component Analysis (K-ICA). Data classification is performed using the Hypothetical Naïve Bayes Algorithm (HNBA). The student performance like learning efficiency, interactive accuracy rate, and artistic skills are predicted using the linear k-Nearest Neighbors (L-KNN). The proposed system can be simulated by employing the MATLAB tool and the performance is compared with other conventional methodologies. The findings of this study reveal that the presented online learning method may significantly increase students' oral and written skills.

Learning practices commenced to shift from face-to-face offline class learning to online classes with technological networks specifically on sudden COVID-19 crises. . This sort of variation in their learning method sparks question about students' perception of the new learning system. The objective of the study was to compare English language learning, between online classes and Offline-classes and it explicates different students' perceptions of such learning practices regarding the benefits, improvements, and drawbacks of online and offline modes. The research approach of study, proceeds with a quantitative study, using statistical analysis through questionnaire distribution. The participants of the study were the school students, obtained from Government and private schools in Telangana. The quality of the study stands outstanding in addressing the effectiveness of blended learning both online and offline learning and aids to study nature of the approach if integration of learning modes including face-to face and online learning incorporated and the consideration to improvise qualities learning experiences of students. With those aspects, the research is significant to prove the preference of students to elucidate that offline classroom learning is more preferable than online English learning. The value of the research is recognised that it aids the educators, leadership authorities and researchers to understand parameters leading to efficient learning practices, enhanced collaborative student performance outcomes assisting to select the appropriate technologies in case of any pandemic crisis and to inhibit collaborative learning in and out of classroom. The most general obstacles faced by students in online English learning are materials insufficiency, lack of communicative skills training, lacking reading activities participation, absence of interaction, the inability of queries or doubts clarification, and exercise exposure are addressed by the analysis outcomes. The comparative perception outcomes explicated that Offline English language learning stands out as more efficient than the online learning method.