The Effects of Task-Based Instruction on High School Students’ Writing Outcomes

The goal of this study was to see whether task-based instruction could enhance EFL students' writing fluency and accuracy. Sixty grade 11 students from two complete classrooms at Dai An High School in Tra Vinh Province, Vietnam, participated in this research. The experimental group was taught to write essays using task-based training, whereas the control group was trained using product-based training. Writing skills were assessed before and after the exam. The fourteen-week intervention with task-based training showed significant improvements in post-test scores for the experimental group. The current study also developed a fresh and innovative teaching strategy to help local teachers enhance their performance.

Identity Based Online Hate Content- Empirical Analysis

The content which is expressed over the internet and its associated social media based on any of the protected characteristics like gender, religion, race, and disability is referred to online hate content. This article aims to examine the user responses on online hate content and determine the predictors of on online hate content. With an objective to identify the determinants of online hate content, the data has been collected from 716 internet users using research instrument designed for the purpose. Both online and offline modes are used for collecting the data. A comprehensive analysis is made using partial least squares path modeling (PLS-PM) package from an open-source software R. The analysis of structural model revealed that the attitude and opinions towards different protected characteristics such as gender, religion, race and disability are influencers of online hate content. Further, the analysis of measurement models revealed the role of measuring indicators.

STUDENT’S ICT USE MOTIVES

Research on the second-level digital divide suggests that motivational factors are crucial for its comprehensive understanding. However, the literature survey indicates a lack of research on ICT usage motives and their relation with student alienation. Using data from an offline survey on university students, this study establishes psychometric properties of student's ICT usage motive scale in the Kashmiri context. Based on SCT theory, the scale distinguishing between three underlying ICT usage motives: socialising, Instrumental and mood management, with the latter two motives negatively correlated with each other. Further analysis shows that instrumental motive reflected a moderate negatively correlation with learned helplessness (LH), learning disinterest (LD) and learning discouragement (LDC) dimensions of student alienation. Socialising motive showed a moderate positive correlation with classroom isolation (CIS). CFA (n= 575) model showed the least metric invariance with regard to gender and residential background.

Fear of Missing Out, Social Media Use and Psychological Wellbeing among University Students

With the extensive use of internet, social networking has become an important part of social interactions in our lives. The use of social networking affects the physical and mental health of an individual. Various aspects associated with prolonged and frequent use of social networking is comparable to behavioural addiction as it shows symptoms of increased dependence and withdrawal. Hence there is a need to understand the various factors which may be associated with compulsive use of social media. Fear of missing out (FoMO) has been associated with negative affect, poor mental health and excessive use of social media. The current research was conducted on a student sample of 267 boys and girls and found that the relationship between FoMO and psychological wellbeing was mediated by use of social media. The research has important implications as usage of internet and social media is on a continuous rise. The individual differences in the usage need ascribed to personal factors in order for a better understanding of the phenomenon.

Exploring the Relationships Among Gratifications-Sought, Social Media Usage, and Social Support Among Chinese Temporary Migrants

Based on a uses and gratifications 2.0 approach, this study identified three social and psychological gratifications (i.e., entertainment, information seeking, socializing) and four affordance-related gratifications (i.e., immediate contacts, controllability, bandwagon, and being there) that motivated Chinese temporary migrants to use social media. Both types of gratifications were positively linked to social media usage among temporary migrants. Social media usage positively predicted social support, while different patterns of social media usage were related to different types of social support.

Female University Student WSDS Smartphone Dependence Scale Scores Correlate With Actual Use Time of Smartphones

The authors investigated correlations between self-reported WSDS (Wakayama Smartphone-Dependence Scale) scores and actual time spent using smartphones. The WSDS was one of a set of questionnaires administered to 134 female university students. For iPhone (Apple Inc., CA) users, the Screen Time feature was used to monitor use time. Of three WSDS rankings, subscales 2 (using a smartphone for extended periods of time and neglecting social obligations and other tasks) and 3 (using a smartphone while doing something else and neglect of etiquette) were associated with actual smartphone use time. Subscale 1 (immersion in internet communication) was associated with demographic characteristics. These findings suggest the usefulness of the WSDS.

Statistical Analysis of Human Emotions to Suggest Suitable Music as per Individual's Mood

There is music recommendation software and music providers that are well explored and commonly used, but those are generally based on simple similarity calculations and manually tagged parameters. This project proposes a music recommendation system based on emotion detection of users, automatic computing, and classification. Music is recommended based on the emotion expressed and temper of the user. Like artists and genre, emotion of the user can also be a crucial recommendation point for music listeners. The different mооds in whiсh the system will сlаssify the imаges аre hаррy, neutrаl, аnd sаd. The system will рre-sоrt the songs according to their genre in the above-mentioned categories. This research project gives us advancement in the music industry with the help of machine learning and artificial intelligence and will reduce the hassle of selecting songs in our leisure time and will automatically play songs by detecting the emotion of the user. This data can be used to play the songs that match the current mood detected from the provided input by the user.

An Empirical Investigation on University Students' Smartphone Dependency

The purpose of this research is to explore how the social needs, social values, and social influences affect the university students' smartphone dependency in Bangladesh perspectives. The researcher used structured survey methods and a non-probability convenience sampling procedure to collect the primary data. For data analysis purposes, the SmartPLS software was used. The data was collected from both undergraduate and master's students, and 532 respondents' data set was considered to analyze the proposed hypotheses. The analysis results indicated that social needs, social values, and social influences have a positive relationship and significantly influence university students' smartphone dependency. The study focused on smartphone dependency of university students, which has become one of the crucial gadgets to carry among the youth. The demand for smartphone usage is significantly increasing in Bangladesh, and previous studies have not been focused on this area. The research limitations of this study are also presented, and the authors suggested directions of future research as well.

A Comprehensive Synthesis of Theories of Mobile Shopping Adoption and Narrative Review

This paper aims to synthesize and integrate the existing literature on MSA adoption and provide directions for future research through narrative review by classifying and organizing the accumulated knowledge into a thematic framework. The paper's theoretical, conceptual approaches, and results were organized into three themes: online distribution channel (theoretical approaches and antecedent factors of MSA adoption, consumer characteristics), advanced technology for in-store shopping (marketing aspects of MSA), and technology perspectives (technology aspects of MSA). The 25 theories of mobile shopping app (MSA) adoption and usage (at the individual level) from 22 reviewed papers were summarized, defined, and mapped with authors. Research questions have been proposed for theories used in reviewed papers and new theories. MSA adoption is at an emergent stage of evolution with fragmentation of theoretical and methodological approaches. While theories of technology adoption and behavioral intentions have been used predominantly, most studies have adopted a multi-theoretic approach or have extended/modified the model with hedonic, situational, and behavioral constructs. The findings related to consumer characteristics of MSA adoption, anchor constructs, moderator and mediator variables, and marketing and technology features of MSA are synthesized and organized according to the themes. Theoretical and practical implications are drawn, research limitations are identified, and future research directions are suggested.

Religion and Spirituality as Determinants of Privacy and Benefits to Use Mobile Applications

The main purpose of this study is to investigate the effect of spirituality and religious values on the intention to use mobile apps. The study proposed an extension to privacy calculus theory to identify the effectiveness of religion and spirituality on the intention to use mobile apps. A self-administered questionnaire was created to collect data. Sample size is 1,031 Kuwait communication market mobile users. Structural equation modeling technique is used to measure the fitness of the research model. The results show that religion and spirituality significantly affect privacy and benefits. However, results also show that privacy has no effect on the intention to use mobile apps, but benefits do have a significant effect.