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Mobile-learning (M-learning) apps have grown in popularity and demand in recent years and have become a typical occurrence in modern educational systems, particularly with the deployment of M-learning initiatives. The key objective of this study was to reveal the key factors that impact university students' behavioural intention and actual use of mobile learning in their education. The technology acceptance model (TAM) is used in this study to investigate the impacts of several factors found in the literature on students' adoption of M-learning systems in higher education. The data was gathered from 176 university students who completed a paper questionnaire. The data was analyzed using the SEM technique. The findings revealed that perceived mobile value (PMV), academic relevance (AR), and self-management of M-learning (SML) are the primary drivers of students' acceptance of M-learning and, as a result, the success of M-learning projects' implementation. The findings of this study give crucial information on how higher education institutions may improve students' acceptance of M-learning in order to promote students' attitudes toward M-learning (ATT) it and their behavioural intentions (BIM) to use it in the teaching and learning process. These findings have significant implications for the acceptance and use of M-learning.

The key objective of this study was to reveal the key factors that impact university students' continued usage intentions with respect to Learning Management Systems (LMSs). Given the context-dependent nature of e-learning, the Unified Theory of Acceptance and Use of Technology (UTAUT) model was applied and extended with constructs principally related to LMSs. The newly added constructs include learning tradition, self-directed learning, and e-learning self-efficacy. The extended model, which measures continued usage intentions with respect to LMSs, was validated with empirical data collected via an online survey questionnaire completed by a sample of 590 higher education students in three private universities in Jordan. PLS-SEM- "Partial least squares structural equation modelling" was employed to examine the various hypotheses introduced in the model. The results demonstrated that: (1) performance expectancy, e-learning self-efficacy, effort expectancy, facilitating conditions, and social influence have a direct positive influence on continued usage intentions, (2) effort expectancy has a direct positive effect on performance expectancy, (3) performance expectancy partially mediates the relationship between effort expectancy and continued usage intentions, and (4) self-directed learning and learning tradition have direct negative effects on continued usage intentions. The outcomes of this study have valuable theoretical and practical implications for researchers, higher education institutions (HEIs), and developers of LMSs.

Social media (SM) provide new opportunities to foster collaboration and engagement between students. However, the moderating effect of cyberstalking and cyberbullying on the relationship between students' academic performance and collaborative learning has not yet been addressed. Therefore, this study aims to bridge the literature gap concerning the use of SM and explore its effect on student performance through Cyberstalking and cyberbullying. A questionnaire was designed based on both the Technology Acceptance Model and Constructivism Theory for data collection. It was handed to 538 university students. This study found a significant relationship between social presence, perceived usefulness, perceived ease of use, and perceived enjoyment with SM use. As shown by the use of communication and communication indicated by the results, SM is a powerful tool for developing and enhancing educational settings. However, this study found a negative relationship between student interactions and SM use. A positive relationship was found from SM use on collaborative learning and student performance that was dampened by Cyberstalking, which is considered a dampening factor and a moderator. Moreover, collaborative learning was reported to be negatively influenced by perceived usefulness as Cyberbullying was found to dampen the relationship between student performance and collaborative learning.

This research intends to investigate factors affecting students' behavioural intentions to use a massive open online courses (MOOCs) system. Integrating the technology acceptance model (TAM) with the innovation diffusion theory (IDT), the present research proposes an extended technology acceptance model. Testing of data collected from 1148 students using (MOOCs) system in Malaysia achieved the research objective. The findings obtained via a quantitative research method, based on analysing the results using a Structure Equation Modeling (SEM). The outcomes reveal that six views of novelty features swayed students' a (MOOCs) scheme behavioural objective. The properties of the relative advantages, intricacy, trialability, observability, compatibility, and perceived enjoyment on the perceived ease of use are significant. Also, the effects of the relative advantages, complexity, trialability, observability, compatibility, and perceived enjoyment on the usefulness have a substantial impact. Therefore, the practical outcomes offer robust backing for the integrative method between TAM and IDT. The results recommend a prolonged model of TAM with IDT for the taking of MOOCs) system used to improve students learning performance, which can help decision makers in higher education, universities and colleges to planning, evaluating and executing the use of (MOOCs) systems.

The purpose of this research is to investigate the learners' interaction patterns when integrating a Collaborative Metacognitive Community (CMC) model within asynchronous text-based online learning in order to enhance their Higher Level Thinking Skills (HLTS). Message postings and reflective journals were extracted from learners' contributions and analyzed thematically. Interviews were used to gather learners' perspectives regarding the implementation of CMC in asynchronous text-based online learning. Furthermore, a checklist for HLTS was constructed to further examine the learners' interaction patterns. The results of this study revealed that learners who exhibited HLTS significantly in their message postings could be classified into three interaction patterns: proactive, progressive and partisan. Learners in the proactive group contributed to the highest number of message postings displaying HLTS. However, partisan learners were found to be dependent on others and contributed to the least number of message postings projected by HLTS. Implications of integrating the CMC model within asynchronous text-based online learning to enhance learners' HLTS and the recommendations for future research work are presented in this article.

This research aims to explore and investigate potential factors influencing students' academic achievements and satisfaction with using online learning platforms. This study was constructed based on Transactional Distance Theory (TDT) and Bloom's Taxonomy Theory (BTT). This study was conducted on 243 students using online learning platforms in higher education. This research utilized a quantitative research method. The model of this research illustrates eleven factors on using online learning platforms to improve students' academic achievements and satisfaction. The findings showed that the students' background, experience, collaborations, interactions, and autonomy positively affected students' satisfaction. Moreover, effects of the students' application, remembering, understanding, analyzing, and satisfaction was positively aligned with students' academic achievements. Consequently, the empirical findings present a strong support to the integrative association between TDT and BTT theories in relation to using online learning platforms to improve students' academic achievements and satisfaction, which could help decision makers in universities and higher education and colleges to plan, evaluate, and implement online learning platforms in their institutions.

Social media is widely considered to improve collaborative learning among students and researchers. However, there is a surprising lack of empirical research in Malaysian higher education to improve performance of students and researchers through the effective use of social media that facilitates desirable outcomes. Thus, this study offers a review of the empirical literature, and its distinctiveness stems from the focus on collaborative learning and engagement to understand the interactive factors relevant that affect academic performance. This study also explores factors that contribute to the enhancement of collaborative learning and engagement through social media. It is unique in that it highlights that the effective use of social media for collaborative learning, engagement, and intention to use social media"--a phenomenon that relies on the theory of social constructivist learning. The findings showed that collaborative learning, engagement, and intention to use social media positively and significantly relate to the interactivity of research group members with peers and research students with supervisors to improve their academic performance in Malaysian higher education.

This study is dedicated to the research of vocabulary learning strategies (VLSs) employed by a group of Saudi Arabian learners in an EFL (English as a foreign language) context. The rationale for the study is to clarify a pronounced lack of research on the EFL context in Saudi Schools Abroad (SSA), and a dearth of prior research into VLSs in this context. In particular, this research intends to explore how do students at Saudi School Malaysia (SSM) employ VLSs in their actual learning process. Therefore, this study is conducted on cognitive theory of learning studies, the mental processes involved in the learning process. Moreover, this study conducted an analysis of studies dedicated to VLSs through secondary students at Saudi school in Malaysia based on previous research problems of models and theories. In addition, this study applied quantitative approach, and the questionnaire was conducted using 105 students. The results of this study revealed the percentage and frequency have further underscored this role and the significance of vocabulary learning in both students and teachers. Also, the results show that students at SSM have employed the five categories of VLSs at a medium level and almost at a close range.