Factors influencing students' acceptance of m-learning: An investigation in higher education

M-learning will play an increasingly significant role in the development of teaching and learning methods for higher education. However, the successful implementation of m-learning in higher education will be based on users' acceptance of this technology. Thus, the purpose of this paper is to study the factors that affect university students' intentions to accept m-learning. Based on the unified theory of acceptance and use of technology (UTAUT) (Venkatesh et al., 2003), this study proposes a model to identify the factors that influence the acceptance of m-learning in higher education and to investigate if prior experience of mobile devices affects the acceptance of m-learning. A structural equation model was used to analyse the data collected from 174 participants. The results indicate that performance expectancy, effort expectancy, influence of lecturers, quality of service, and personal innovativeness were all significant factors that affect behavioural intention to use m-learning. Prior experience of mobile devices was also found to moderate the effect of these constructs on behavioural intention. The results of this research extend the UTAUT in the context of m-learning acceptance by adding quality of service and personal innovativeness to the structure of UTAUT and provide practitioners and educators with useful guidelines for designing a successful m-learning system

Toward mobile learning deployment in higher education

This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Mobile Learning (M-learning) refers to any kind of learning which takes place within and beyond the traditional learning environment via wireless mobile devices. These devices are able to move with the learner to allow learning anytime, anywhere. M-learning is considered as the next step beyond electronic learning (E-learning) and distance learning (D-learning) by using mobile wireless devices with internet connectivity to facilitate formal and informal learning. Over the past decade M-learning has become gradually popular in university settings by providing mobile access to learning resources, collaborative learning and to exchange formative evaluation and feedback between students and instructors. Therefore, M-learning involves learning activities that are not restricted to a specific time or place. Despite the familiarity with M-learning as a new paradigm in modern education, there has been a shortage of research concerning how to deploy this technology in a successful way. The integration of M-learning in a university environment needs to involve some aspects in terms of the readiness of users and institutions, users‟ acceptance and engagement, and the sustainability of the system. There are some initial models that investigate the implementation of M-learning which provide some guidelines that work as starting point for the future of M-learning deployment. However, there is no theoretical model that provides guidelines for staged deployment of M-learning. In addition, there was no clear definition of sustainability factors that will assure continues evaluation and upgrade of M-learning systems after deployment. The aims of this research work are to study students‟ readiness for M-learning, investigate the factors that affect students‟ acceptance and analyse M-learning literature in order to propose and evaluate a model which can be used to foster the sustainable deployment of M-learning within teaching and learning strategies in higher education institutions. The research was conducted in Brunel University, West London. Data were collected from School of Information, Computing and Mathematical Science students using three surveys: the first studied students‟ readiness for M-learning, the second investigated factors that affect students‟ acceptance of M-learning and the last one developed and evaluated a sustainable M-learning deployment model. The outcome of this research lead to a conceptual model that gives a wide overview of all elements that need to be addressed in the M-learning environment and bridges the gap between the pre- and post-implementation phases in order to ensure sustainability. Furthermore, the model provides university educators with a planned approach to incorporate M-learning in higher education curriculums with the aim of improving teaching and learning

Design and Analysis the Fiber Laser Weapon System FLWS

The laser weapon system has many advantages over traditional projectile weapons such as bullets and rockets. This paper presents a new design of fiber laser weapon system FLWS. Design of FLWS requires the expansion of application fields as diverse as quantum mechanics and aerodynamics. FLWS has been designed for destruction any target, for example a spy aircrafts and missiles. FLWS consist of 16-fiber individual of an ytterbium fiber laser with optical core radius of ~ 20μm, each fiber emitting a single-mode of CW power about 10 kW with initial beam spot size (50mm) and have a beam director radius of ~20cm It has been demonstrated by simulations, the power needed to destroy any target made of steel (missile or aircraft) approximately about 73500watts.This represents a threshold power of FLWS, which must be overcome to destroy the target. The threshold power varies considerably depending on many factors as the range of FLWS (RFLWS), attenuation of atmosphere μ and reflectivity of skin target. The quality beam of threshold power is inversely proportional to M2 factor N-fiber and RFLWS. Keywords: Laser Weapon, Fiber laser, M2 factor, Attenuation of atmosphere μ, Beam divergence

Analysis and Study of the Effect of Atmospheric Turbulence on Laser weapon in Iraq

One of the most important challenges facing the development of laser weapons is represented by the attenuation of the laser beam as it passed through the layers of atmosphere.This paper presents a theoretical study to simulate the effect of turbulence attenuation and calculates the decrease of laser power in Iraq. The refractive index structure C_n^2 is very important parameter to measure the strength of the atmospheric turbulence, which is affected by microclimate conditions, propagation path, season and time in the day. The results of measurements and predictions are based on the Kolmogorov turbulence theory. It was demonstrated by simulations that the laser weapons in Iraq were severely affected due to the large change in temperatures, the limited effective range of laser weapon to a few kilometers as a result of high attenuation and the middle of stratosphere considered as a homogeneous and a suitable area for the work of laser weapons, so be a favorite area of fighter aircraft

Design and Simulate a New Defense System of Free Electron Laser DSFEL

As a result of rapid progress in the development of offensive weapons, it became necessary to build up an effective defense system against these technically advanced weapons. In this paper, it has been designed and simulates a new defense system of free-electron laser DSFEL with important advantages capable of destroying air targets (static or mobile) within a range of 70 km from the ground level. The proposed defense system consists of three main units a free electron Laser, optical lenses and control system. Numerous parameters were computed, beginning from the specification and quality of free electron Laser and atmosphere attenuation affecting on the laser beam, in addition to the quality of the target should be destroyed. The results of simulations show that the possibility of destroying any target with high precision despite the large attenuation that occurs to the laser beam such as absorption, scattering, turbulence, and reflection. It is clear through simulations that the original power of laser beam will be significantly reduced as a result of numerous and varied losses as they pass through the atmosphere. But as a final result, the laser can be used as an effective weapon to destroy long-range targets

Do Learners’ Characteristics Matter? An Exploration of Mobile-learning Adoption in Self-directed Learning

This paper aims to identify individual characteristics that motivate learners to use mobile-learning. It sheds light on our current knowledge by a) examining an m-learning adoption model which accounts for learners’ characteristics (learning style and personal innovativeness) in addition to previously studied mobile platform characteristics and b) considering the context in which learning occurs (formal and informal). A framework has been introduced and empirically tested. Results suggest that individuals’ learning style and perceived playfulness influence m-learning usage in both learning situations; while performance expectancy and personal innovativeness are only influential in specific learning contexts. This study highlights the role of learners’ characteristics in m-learning adoption and emphasizes the importance of distinguishing between various types of m-learning. This multi-disciplinary research enriches m-learning literature and offers practical implications for educators using mobile technologies as well as developers of virtual learning platforms

Antiinflammatory Therapy with Canakinumab for Atherosclerotic Disease

Background: Experimental and clinical data suggest that reducing inflammation without affecting lipid levels may reduce the risk of cardiovascular disease. Yet, the inflammatory hypothesis of atherothrombosis has remained unproved. Methods: We conducted a randomized, double-blind trial of canakinumab, a therapeutic monoclonal antibody targeting interleukin-1β, involving 10,061 patients with previous myocardial infarction and a high-sensitivity C-reactive protein level of 2 mg or more per liter. The trial compared three doses of canakinumab (50 mg, 150 mg, and 300 mg, administered subcutaneously every 3 months) with placebo. The primary efficacy end point was nonfatal myocardial infarction, nonfatal stroke, or cardiovascular death. RESULTS: At 48 months, the median reduction from baseline in the high-sensitivity C-reactive protein level was 26 percentage points greater in the group that received the 50-mg dose of canakinumab, 37 percentage points greater in the 150-mg group, and 41 percentage points greater in the 300-mg group than in the placebo group. Canakinumab did not reduce lipid levels from baseline. At a median follow-up of 3.7 years, the incidence rate for the primary end point was 4.50 events per 100 person-years in the placebo group, 4.11 events per 100 person-years in the 50-mg group, 3.86 events per 100 person-years in the 150-mg group, and 3.90 events per 100 person-years in the 300-mg group. The hazard ratios as compared with placebo were as follows: in the 50-mg group, 0.93 (95% confidence interval [CI], 0.80 to 1.07; P = 0.30); in the 150-mg group, 0.85 (95% CI, 0.74 to 0.98; P = 0.021); and in the 300-mg group, 0.86 (95% CI, 0.75 to 0.99; P = 0.031). The 150-mg dose, but not the other doses, met the prespecified multiplicity-adjusted threshold for statistical significance for the primary end point and the secondary end point that additionally included hospitalization for unstable angina that led to urgent revascularization (hazard ratio vs. placebo, 0.83; 95% CI, 0.73 to 0.95; P = 0.005). Canakinumab was associated with a higher incidence of fatal infection than was placebo. There was no significant difference in all-cause mortality (hazard ratio for all canakinumab doses vs. placebo, 0.94; 95% CI, 0.83 to 1.06; P = 0.31). Conclusions: Antiinflammatory therapy targeting the interleukin-1β innate immunity pathway with canakinumab at a dose of 150 mg every 3 months led to a significantly lower rate of recurrent cardiovascular events than placebo, independent of lipid-level lowering. (Funded by Novartis; CANTOS ClinicalTrials.gov number, NCT01327846.

Tubular daylight guidance systems cost, value and building codes

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Political Communication vs Cultural Approach to Society Related to the Handling of Covid-19

This study discusses political communication and cultural approach in handling the Covid-19 pandemic. Existing cases are taken into account along in the discussion of this paper to illustrate how measures like communication by political figure influence the Covid-19 mitigation. The cultural relevance of the COVID-19 community engagement message is critical to its effectiveness. Culture-insensitive communication may be seen in the COVID-19 case study as well as in the Ebola information being communicated. It is nevertheless important to recognize that a culture's collection of signals regarding life experience may range from positive behaviours that should be promoted to negative practices that should be addresse