Over the past three decades, the Technology Acceptance model (TAM) has garnered considerable attention in higher education. COVID-19 boosted the development of TAM as multiple studies were rapidly ...undertaken during the pandemic. This, however, created a gap in our current understanding of the directions and trends of TAM advancement. The purpose of this study is to obtain insight into the advancement of TAM throughout the pandemic. It would assist researchers in comprehending the advancement and direction of TAM studies in higher education, such as gaining an understanding of the prevalent external variables for TAM, the statistical analysis employed, research methodologies, the technologies studied, and the geographic location of the research conducted. Finally, research gaps and future directions for TAM studies are presented. A systematic review utilizing PRISMA was conducted on 104 sampled publications. It was found that self-efficacy, subjective norms, experience, and enjoyment were the external variables most frequently used in TAM, while internal motivation received minimal attention. The existing studies have focused mainly on student samples, so further investigation is needed into lecturers, higher education personnel, and mixed groups. Further study is also required on qualitative and mixed methods, with the partial least square structural equation model currently dominating statistical analysis. Future technologies such as 5G, AI, cloud computing, augmented reality, virtual reality, and BYOD represent new TAM-related research gaps. The majority of studies have been undertaken in Asian countries, such as China and those in southeast Asia. This new systematic literature review provides insight into the trend of TAM advancement in the sustainability of higher education during the pandemic, the identified research gaps, and recommendations for future research directions. These findings also serve as a reference for future research by enhancing the foundation established by previous reviews and research on TAM, thereby facilitating the model’s ongoing expansion.
E-wallets are one of the breakthroughs brought forth by the evolution of FinTech, which has been accentuated by the global outbreak of COVID-19. Therefore, it is critical to comprehend the factor of ...e-wallet acceptance. As this technology advances, substantial knowledge and research gaps become apparent. Previous studies on e-wallet acceptance have overlooked the importance of motivation and self-efficacy. There is a dearth of focus on certain age groups, such as Gen Z, which is currently the trendsetter of new technologies. This study aims to close the gaps regarding the lack of focus toward Gen Z, motivation, and self-efficacy in understanding e-wallet acceptance by combining the Technology Acceptance Model (TAM) with Self-Determination Theory (SDT), Self-Efficacy (SE), and Digital Media Self-Efficacy (DMSE) to fully understand the factors influencing e-wallet acceptance among Gen Z, using 233 samples to test 16 hypotheses derived from the identified research and knowledge gaps. External Regulation (ER), SE, and DMSE are the determinants of acceptance, according to Structural Equation Model analysis conducted. Mediation analysis reveals that Attitude toward Use (AT) is the full mediator of Perceived Usefulness (PU) and Perceived Ease of Use (PEU). The quintessential outcome of this research is the Model of E-Wallet Acceptance among Gen Z, which is significant for FinTech industries looking to strategically roll out e-wallet initiatives as well as a point of exploration for numerous future academic research and development.
Self-Determination Theory (SDT) has been studied to comprehend human motivation, particularly in education. Numerous studies have been conducted at universities regarding online learning as a ...technology to mitigate the effects of COVID-19. On the basis of these expansions, however, there is a knowledge gap regarding what constitutes advancement, future direction, and research gaps regarding SDT in university online learning. This new systematic literature review analyzed 49 articles using PRISMA to bridge the knowledge gap. Currently, SDT research in online learning at university does not extensively integrate other theories and models, but there is a trend toward acceptance models and cognitive theories. Future research should incorporate additional SDT factors such as intrinsic motivation, external regulation, identified regulation, and amotivation in addition to autonomy, competence, and relatedness. As most research samples students, a research gap involving lecturers and mixed groups is suggested. The future is anticipated to be dominated by quantitative research, leaving qualitative and mixed methods as points of exploration. This review sheds light on the advancements, future direction, and research gaps regarding SDT in university-level online learning. It could serve as a basis for future research in SDT within the context of online education.
Low Higher Order Thinking Skills (HOTS) among students is a persistent and pervasive challenge in modern classroom. The problem remains for years despite the intensive manoeuvres to solve it. Yet, ...the need to enhance HOTS is imperative in ensuring quality education. The purpose of this research is to enhance HOTS among students in Mathematics using an online learning environment. The online learning environment was developed based on Polya's problem solving model. However, the system is not discussed in this paper. There are three research objectives which are to investigate the current HOTS achievement among students, to study the effect of the developed online learning environment in nurturing HOTS among samples and finally to study how learning process taken place to achieve HOTS among sample while engaging the system. This research implemented experimental research design with a set of pre and posttest and the developed online learning environment as intervention. A total of 76 samples were sampled for the preliminary study and another 32 samples for the four weeks treatment using cluster random sampling technique. Samples are from three schools from a district in Malaysia. Finding shows that the current HOTS achievement among students are still low at mean = 32.05, σ = 15.87. During the intervention, samples show improvement in their HOTS from mean = 39.52, σ = 11.65 in the pretest to higher level in the posttest at mean = 77.84, σ = 12.84. The Paired-Samples T Test conducted to identify the differences between the pre and posttest shows a statistically significant difference at t (31) = -11.58, p < 0.05. Indicating that an online learning environment using Polya's problem solving for four weeks enhance HOTS among samples. The process of how samples achieve HOTS is also reported. This research shows the importance of integrating technology and inquiry in modern classroom to increase students' thinking skill ability. Finding suggests that HOTS can be nurtured via technology enhanced learning environment.
An ideal education is the one that enhance cognitive ability. In Malaysia, educators are currently putting enormous effort to uplift higher order think-ing skills (HOTS) among students at various ...educational levels. The ad-vancement of technology enables educators to apply online learning envi-ronment to further catalyze the effort. Integration of correct pedagogy is es-sential, 5E inquiry model by Bybee was implemented to 5E online learning environment – a learning environment developed for this research. The pur-pose of this research is to enhance HOTS among the samples. Thus, the cog-nitive impact of the learning environment was studied. The current gap of the learning activities that improve HOTS was addressed by probing into the activities done by samples. Samples are thirty-three secondary school students and had treatment with the learning environment for 4 weeks. T-test conducted found that samples’ HOTS statistically significant higher af-ter treatment compared to prior to the treatment, t (32) = - 20.95, p < 0.05 that indicates the treatment improve samples’ HOTS. The learning activities that materialize HOTS improvement is engaging learning module and HOTS related video. This research proves that human HOTS ability can be nur-tured by using technology enhanced learning environment with the appro-priate pedagogical approach. Deeper fundamental research regarding the pro-cess of learning that nurture HOTS is highly recommended in the future – one of the authors is currently working on.
In light of the increasing importance digital economy, the significance of computational thinking has grown exponentially, becoming imperative in both workplace and academic settings such as ...universities. This article addresses the critical need to comprehend the factors influencing the acceptance of computational thinking. The dataset introduces an extensive questionnaire comprising five constructs and 25 items, rooted in the extended Technology Acceptance Model. Notably, the model incorporates facilitating conditions and subjective norm, providing a comprehensive framework for understanding acceptance. Data collection involved 132 undergraduate university students sampled through purposive sampling, specifically targeting courses with a focus on computational thinking. The resulting dataset serves as a valuable resource for future research, offering detailed insights into the factors determining the acceptance of technology in educational contexts beyond mere thinking skills. Given the scarcity of research on technology acceptance in developing nations, this dataset holds particular significance, serving as a foundation for potential cross-cultural comparisons. The dataset contributes to the field by presenting a robust acceptance model, explaining 74.2 per cent of the variance in behavioural intention, 60.2 per cent in perceived usefulness, and 56.1 per cent in perceived ease of use. This high explanatory power positions the dataset as a superior resource for replication, benchmarking, and broader applicability in diverse contexts, thereby enhancing the understanding of computational thinking acceptance across different populations and settings. This dataset stands among the pioneering efforts to assess the novel covariance-based structural equation model algorithm within SmartPLS 4, presenting a valuable resource for future research employing the same mechanism.
Mental health problems in society are becoming new and more distressing as explained by the Ministry of Health Malaysia and the World Health Organization. Mental problems occur amongst working ...adults, the elderly, adolescents and children, men and women. Recent research confirms that the causes of mental health problems are due to genetic problems, personal problems, financial problems, learning pressures and stress at workplace. The effects of mental health problems can lead to depression, emotional tension, personality disorder and suicide. In order to obtain a wealth of information, researchers have accompanied critical analysis studies by viewing at several empirically established from previous studies. The first finding shows that mental illness classified as a brain disorder, an emotional disorder and an abnormal attitude. The second finding explains that the level of mental health knowledge among students is still low. The third study examines the causes of schizophrenia, which have four causes of the disease, namely genetic factors, drugs, work stress and poverty. The fourth finding explains the experience of caring for a mentally ill person who is also having trouble in the life of the patient's family. Generally, this study explains that mental illness is a problem that has various negative effects on various people. Implications of mental illness transpire over the long term if treatment not properly performed. Therefore, proactive initiatives prerequisite to be taken by all parties to ensure the quality of life of the people will perfect and normal devoid of interruption of mental illness.
This study proposes a unified theoretical model to integrate the full spectrum of Self-Determination Theory, self-efficacy, and the Technology Acceptance Model in understanding the acceptance of ...technology enhanced learning among university students during the Covid-19 pandemic. In the proposed theoretical model, 7 hypotheses were tested to understand the acceptance of technology enhanced learning. A total of 303 university students participated in this study. The Heterotrait-Monotrait (HTMT) ratio of correlation was applied to measure Discriminant Validity for the Covariance-Based Structural Equation Model. Based on the results, the unified theoretical model provided better insight to understanding acceptance of technology enhanced learning (R
2
= .71). Intrinsic motivation (IM), amotivation, motivation, and technology enhanced self-efficacy (TELSE) were identified as significant determinants of students’ perceived ease of use (PEU). Amotivation, motivation and TELSE were significant determinants of students’ perceived usefulness (PU) towards technology enhanced learning. During the Covid-19 pandemic, students had internalised external regulation and identified regulation. The empirical results also revealed that the relationship between amotivation and PEU were moderated by gender. Gender also played a role in moderating the effects of amotivation and motivation relationships towards PU. However, the relationships between IM and motivation toward PEU and TELSE to PU were vulnerable towards the moderating effects of gender and students' field of study. In conclusion, students’ view on technology acceptance have changed since the pandemic, therefore, their participation in design, development, and implementation of learning resources is much needed than before to improve their psychological motivation.
Ubiquitous Hub for Digital Natives Rosli, Mohd Shafie; Saleh, Nor Shela; Aris, Baharuddin ...
International journal of emerging technologies in learning,
01/2016, Letnik:
11, Številka:
2
Journal Article
Recenzirano
Odprti dostop
This study was conducted to construct a model on ubiquitous hub for digital natives. Respondents were 250 digital native generation students, from a higher learning institution in Malaysia. The ...result of the regression, structural equation model and path analysis revealed that multitask as well as gratification and reward nurture digital natives to learn in ubiquitous computing environment. Digital natives characteristics of reliant on graphic for communication, and attitude toward technology are rejected from the model based on the statistical evidence. Test of the relationship between multitask toward gratification and reward via structural equation model shows that both influence each other. Conclusion on the set-up of ubiquitous hub for digital natives based on the model derived are discussed.
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