The purpose of this article was to reduce the dissimilarities in the literature regarding the use of social media for training and its impact on students' academic performance in higher education institutions. The main method of data collection for task-technology fit (TTF) and the technology acceptance model (TAM) was a questionnaire survey. This research hypothesizes that TTF applied to social media for learning will affect technology, task, and social characteristics that in turn improve students' satisfaction and students' academic performance. It also posits that the behavioral intent to use social media for learning will affect comprehension efficiency, ease of use, and enjoyment, all of which also improve students' satisfaction and students' academic performance. The data collection questionnaire was conducted with 162 students familiar with social media. Quantitative structural equation modeling was employed to analyze the results. A significant relationship was found between technology, task, and social features with TTF for utilizing social media for academic purposes, all of which fostered student enjoyment and improved outcomes. Similarly, a clear relationship was found between comprehension efficiency, ease of use, and enjoyment with behavioral intentions to utilize social media for academic purposes that positively affected satisfaction and achievement. Therefore, the study indicates that TTF and behavioral intentions to use social media improve the active learning of students and enable them to efficiently share knowledge, information, and discussions. We recommend that students utilize social media in pursuit of their educational goals. Educators should also be persuaded to incorporate social media into their classes at higher education institutions. INDEX TERMS Task-technology fit, technology acceptance model, social media.
Background: E-learning is increasingly becoming a preference in higher education institutions worldwide; this is intended to assist educational institutions in achieving objectives to meet the proportion of individuals with their educational opportunities. Nevertheless, instructors and students frequently have concerns with their capacity to succeed in E-learning environments.Objectives: This study aimed to presents common eLearning challenges in regard to e-learning courses structure and its relations to various factors, for instance; students' autonomy, prior knowledge and experience, students-students dialogue, and students-instructor dialogue, and proposes solutions to these challenges based on the transactional distance theory. Moreover, this study presents evidence from Abuhassna et al. / Contemporary Educational Technology, 2022, 14(1), ep338 / 23Malaysian higher institutions based on theoretical models for e-learning course structure and its relations to the factors mentioned above.Methods: Data have been collected from 680 university learners all over Malaysia. Data were then examined using exploratory factor analysis, confirmatory factor analysis, and structural equation modelling employing Smart PLS 3.0 software. Results and conclusion:Research findings indicated that e-learning course structure was affected by all dimensions of overall path analysis findings: student autonomy, students background, student-instructor dialogue, and student-student dialogue. However, the e-learning course structure showed insignificant with students' prior experience.Implications: Implications for universities are discussed accordingly. Such findings provide vital support to the integrative association among collaborative control (CC) and transactional distance theory (TDT) regarding e-learning environments experience, which might support universities administrators in the higher education industry to implement, plan and evaluate online learning platforms applications in their institutions.
In order to eliminate discrepancies between the literature on the use of digital media for education and its effects on students’ academic achievement in higher education institutions, this article aims to develop a model that would identify essential aspects that are predicted to continue to play a large role in TTF and CT for learning, which could be used to improve academic performance in higher education. The purpose of this study was to investigate the characteristics and aspects of digital media and the relationship between their use in the TTF and CT theories to determine how they affect research students’ satisfaction and AP in HE institutions. Data for the TTF and CT theories were collected using a questionnaire survey. A questionnaire survey was the primary method of data collection. A total of 1330 students who were acquainted with digital media participated in the data collection survey from Universiti Kebangsaan Malaysia. To assess the findings, quantitative structural equation modeling was used. Technological, task, and social characteristics were found to have a substantial association with TTF for using digital media sites for academic purposes, which had a favorable impact on satisfaction and educational achievement. Similar to this, a significant relationship between online communication, reasons for communicating, communication self-efficacy, and attitude toward using features with TC was found to exist for utilizing digital media sites for educational purposes that positively impacted satisfaction as well as academic performance. The study concludes that TTF and CT concepts for using digital media enhance students’ active learning and give them the ability to effectively exchange knowledge, data, and discussions. In order to further their educational objectives, we advise students to make use of digital media platforms. Additionally, educators in higher education institutions need to be convinced to use digital media platforms in their lessons.
The aim of this research was to reduce the dissimilarities in the literature regarding the use of social media platforms (SMPs) for training and its impact on students' satisfaction and academic performance in higher education institutions. The main method of data collection for Communication Theory (CT) was a questionnaire survey. This research hypothesizes that CT applied to social media platforms for learning will affect online communication, motives to communicate, communication self-efficacy and attitude towards usethat in turn improve students' satisfaction and students' academic performance. The data collection questionnaire was conducted with 309 students familiar with social media platforms. Quantitative structural equation modeling was employed to analyze the results. A significant relationship was found between online communication, motives to communicate, communication self-efficacy and attitude towards usefeatures with TC for utilizing social media platforms for academic purposes that positively affected satisfaction and academic performance. Therefore, the study indicates that TC theory to use social media improve the collaborative learning of students and enable them to efficiently share knowledge, information, and discussions. We recommend that students utilize social media platforms in pursuit of their educational goals. Educators should also be persuaded to incorporate social media platforms into their classes at higher education institutions.
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