Exploring the use of social media tools among students for teaching and learning purpose

Social media network is a fairly recent word used to define a form of learning that can be performed via websites online learning. The exploring of the potential use of social media tools and impact of contingent factors on the relationship between three predictors was investigated. A total of 235 valid responses were received from undergraduate students Faculty of Computing, Universiti Teknologi Malaysia (UTM) in the study. Several factors have been found to correlate with social media use, active learning both to affect teaching and learning. The researchers made use of the structural equation modelling (SEM) method with the SmartPLS program to shed a light on the adoption process. The results show that the use of social media positively and significantly relates to active learning, which in turn affect teaching and learning

Task-technology fit and technology acceptance model application to structure and evaluate the adoption of social media in academia

NurulAmalinMohamad2020_VocationalEducationforAutismSpectrumThe 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

Chronology of brain tumor classification of intelligent systems based on mathematical modeling, simulation and image processing techniques

Tumor classification using image processing techniques is becoming a powerful tool nowadays. Based on the importance of this technique, the motivation of this review paper is to present the chronology of brain tumor classification using the digital images and govern the mathematical modeling and simulation of intelligent systems. The intelligent system involves artificial neural network (ANN), fuzzy logic (FL), support vector machine (SVM), and parallel support vector machine (PSVM). The chronology of brain tumor classification presents the latest part of the literature reviews related to the principal, type and interpretation of segmentation and classification of brain tumors via the large digital dataset from magnetic resonance imaging (MRI) images. This paper has been classified the modeling and simulation in classical and automatic models. Around 115 literature reviews in high ranking journal and high citation index are referred. This paper contains 6 contents, including mathematical modeling, numerical simulation, image processing, numerical results and performance, lastly is the conclusion to standardize the frame concept for the future of chronological framework involving the mathematical modeling and simulation. Research outcome to differentiate the tumor classification based on MRI images, modeling and simulation. Future work outlier in segmentation and classification are given in conclusion

3D medical image visualization and VE model to determine the pathology zone of tumor evidence-based using some numerical methods and simulation

This paper presents some integrated mathematical modeling and simulation for visualizing a 3D medical image and estimating the volume of tumor growth. Thus, these two indicators will determine the pathology zone and to provide revised evidence-based on tumor histology, location, growth and the treatment effect. There are three phases of modeling and simulation for volume visualization of the 3D tumor. The first phase is converting from 2D signal images to 2D digital images based on edge detection of the tumor. Geodesic Active Contour (GAC) model based on additive operator splitting (AOS) will be used to detect the contour line of a brain tumor on 2D images. The second phase is pre-constructing of 3D digital image from the 2D images by applying two numerical models such as an image manifold model (IM) and volume estimation model (VE). The third phase is implementing the numerical simulation and visualizing the 3D medical image on a hardware and software computational platform. The numerical comparison of VE and IM will be investigate using some performance measurements and interpretation in terms of VE, RMSE, run time and computational complexity cost. In this case study, the medical image is based on a set of 2D MRI brain tumor images from Kubang Krian Hospital Malaysia (HKK). The numerical results will determine the pathology zone and to provide revised evidence-based on tumor informatics. As a conclusion, this paper proof an alternative numerical model is superior to construct and visual the 3D medical images. Thus, volumetric image estimation from the 2D image and extended to a 3D volume image is essential for accurate evaluation of the high resolution 3D medical images

Use of E-Learning by University Students in Malaysian Higher Educational Institutions: A Case in Universiti Teknologi Malaysia

This paper examines university students' intention to utilize e-learning. In this paper, we apply and use the theory of a technology acceptance model. We employ the structural equation modeling approach with a SmartPLS software to investigate students' adoption process. Findings indicate that the content of e-learning and self-efficacy has a positive impact and substantially associated with perceived usefulness and student satisfaction, which impact university students' intention to utilize e-learning. Although e-learning has gained acceptance in universities around the world, the study of the intention to use e-learning is still largely unexplored in Malaysia. The developed model is employed to explain the university student's intention to utilize e-learning. The study concludes that university students in Malaysia have positive perceptions toward e-learning and intend to practice it for educational purposes

Environmental sustainability competency framework for polytechnics engineering programmes

Sustainability challenges such as degradation of ecosystem, loss in biodiversity, depletion and destruction of natural resources, numerous instances of pollution, and the extreme poverty of millions of human beings all originated from how people think. In an effort to improve the situation, the UN declared the years 2005-2014 as Decade of Education for Sustainable Development (DESD), calling for a thorough integration of competencies in sustainability issues at all levels of education. In line with this, addressing numerous sustainability-related problems requires an urgent need to reorient the school curricula, so that appropriate sustainability competencies are injected. Since the contents of HEIs curricula revolve around knowledge-based goals, skill-based goals and affective goals, this study investigated competencies (Knowledge, Skills and Attitudes) in the environmental sustainability suitable for incorporation into Higher National Diploma (HND) electrical/electronic engineering curriculum in Nigeria. The study employed qualitative approach through document analysis and semi-structured interview with the participants. The documents analyzed were twelve Journal Articles and five Skill Standards. The researchers also conducted interviews with electrical/electronic personnel in the academia and industry. The empirical findings of the semi-structured interviews corroborated the theoretical findings in the documents analyses. The study discovered several competencies in the document analysis as well as interviews, which were ultimately analyzed thematically. The themes include: Climate change, Ecology, Environmental Resource Management, System Thinking, Sustainable urbanization, Recycling/Re-use, and Empathy and Ethics. The researchers analyzed only 17 documents and conduct 10 interviews, thus, conclusions derived from these sources rely on the genuineness of the information provided by the participants. The findings provide the researchers, accreditation body as well as curriculum developers with competencies in environmental sustainability in the events of curriculum upgrade or renewal to integrate sustainability. The findings are the results of triangulated data elicited theoretically and empirically

Saudi international students’ perceptions of their transition to the UK and the impact of social media

In their transition to a new country, international students often feel lost, anxious or stressed. Saudi students in the UK in particular may face further challenges due to the cultural, social and religious differences that they experience. There is a lot of evidence that social media play a crucial role in this experience. By interviewing 12 Saudi students from different cities in the UK, the aim of this study is to investigate how they perceive their transition to the UK and how social media is involved. The analysis indicates that Saudi students’ perceptions of transition tend to fall in to one of two markedly different camps. Some students see transition as an opportunity to detach themselves from their home country and to engage with the new society. Those students turn to social media as a tool allowing them to build bridges with the new society. Other students feel less enthusiastic to make a full engagement with the UK society. Those students find social media as a good tool to maintain connections and links with family and friends in their home country

Examining the impact of digital technologies on students’ Higher Education outcomes:The case of the Virtual Learning Environment and social media

Digital natives is a term used to describe current higher education (HE) students, whose lives are proliferated by digital technologies. To cater to the needs of this new generation of students, HE institutions increasingly adopt digital tools such as virtual learning environments (VLE) and social media (SM). Little is known, however, about the impact of these digital technologies on students’ HE outcomes. Drawing from service productivity theories, this study aims to address this gap. Through exploratory sequential mixed research methods, we identify five HE outcomes and reveal that Learning-Oriented Outcomes are the most important in HE even when digital technologies are not used; and these outcomes are further enhanced when students use VLE. Learning-Oriented Outcomes, however, are the least important when SM is used in HE; students tend to prioritise outcomes related to Knowledge Transfer instead. Our research findings derive theoretical and practical contributions and open up avenues for future research

Modeling of students online social presence on social networking sites with academic performance

Social Presence is a vital component of learning experience. This study develops a predictive model of students' online social presence on social networking sites "SNS". This study used SmartPLS software in the model development process. The study explored five facets of SP and its relationship with students' academic performance. The model is based on the survey data that collected from tertiary students in Malaysia. The findings of this study showed that there is a significant relationship between all five facets of online social presence and students' academic performance. SNS is appropriate tools that supports students' sense of social presence which contributes to better learning and academic performance. Consequently, the developed model can be used by instructional designers, instructors, and researchers to measure students' online social presence and its effect on students' academic performance