Reinforcement of student-centered learning through social e-learning and e-assessment

Al-Ansi, Abdullah M.

doi:10.1007/s43545-022-00502-9

Cited by 20 publications

(9 citation statements)

References 13 publications

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“…e-Learning has been beneficial during the pandemic, as confirmed by Ortega, Villalta, Rodriguez, Arpi et al [28], but at the same time, there has been a challenge in terms of lab work, practicals or clinical-based competencies wherelearning could not be addressed effectively. Similar findings relating to STEM disciplines were reported by Al-Ansi [29]. Evidence has shown progress in developed economies on mHealth and e-Learning that would be useful if integrated within various curricula so that health practitioners (both staff and students) do not miss out on their clinical competency training.…”

Section: Discussionsupporting

confidence: 80%

mHealth and e-Learning in health sciences curricula: a South African study of health sciences staff perspectives on utilisation, constraints and future possibilities

Noorbhai

Ojo

2023

BMC Med Educ

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Background Over the last decade, developments in e-Learning and technologies are creating the groundwork for health sciences and medical education. Literature demonstrates that we have yet to reach any form of consensus about which indicators are needed to assess and teach quality health sciences and medical education through technology or innovation. There is, therefore, a greater need for a tool or platform that is properly constructed, validated and tested within health sciences. Methods This paper presents a study, which is part of a larger research project assessing staff and students’ perceptions of the importance and relevance of different aspects of e-Learning and mHealth in health sciences curricula at four universities in South Africa. The specific objectives of this study were to: (i) assess health sciences staffs’ perceptions and understanding of these two applications; and (ii) establish challenges and opportunities of e-Learning and mHealth applications in the health sector, as well as perceptions on the importance and relevance of these applications to their curricula and future practices. A combination of Focus Group Discussions (FGDs) and a key-informant interview was used. A total of 19 staff from four universities participated. Atlast.ti was used for the data analysis and the findings were coded using a primarily deductive thematic coding framework. Results The findings revealed that not all staff members are equipped or trained with new applications or technologies, such as mHealth. Most participants believed that diverse technologies and tools could be integrated with mHealth and e-Learning. Furthermore, participants agree that a new multi-modal platform, in the form of a learning management system (LMS) with relevant applications (and possible plugins) integrated, tailored towards health sciences will benefit all stakeholders, and be valuable to higher education and health sectors. Conclusions Digitalisation as well as digital citizenship is gradually being integrated into teaching and learning. It is imperative to adapt the health sciences curricula through constructive alignments and promote health sciences education in the current 4IR. This would allow graduates to be better prepared for digitalised practice environments.

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Section: Discussionsupporting

confidence: 80%

mHealth and e-Learning in health sciences curricula: a South African study of health sciences staff perspectives on utilisation, constraints and future possibilities

Noorbhai

Ojo

2023

BMC Med Educ

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“…The Eidos system visualizes non-local neurons as unique graphic shapes, where the dendritic color and thickness indicate the direction and intensity of the impact of neuron receptors on the degree of activation or inhibition. The method for predicting an object's future states may be seen visually thanks to non-local neurons [31][32][33]. The future state of the control object is represented by a non-local neuron, which indicates the intensity and direction of the variables that are significantly impacting it [34][35][36].…”

Section: Resultsmentioning

confidence: 99%

Intelligent Risk Analysis of Investment Projects in the Extractive Industry

Al-Ansi,

Garad,

Ryabtsev

2024

JII

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This study introduces an advanced technology for risk analysis in investment projects within the extractive industry, specifically focusing on innovative mining ventures. The research primarily investigates various determinants influencing project risks, including production efficiency, cost, informational content, resource potential, organizational structure, external environmental influences, and environmental impacts. In addressing the research challenge, system-cognitive models from the Eidos intellectual framework are employed. These models quantitatively reflect the informational content observed across different gradations of descriptive scales, predicting the transition of the modelled object into a state corresponding to specific class gradations. A comprehensive analysis of strengths, weaknesses, opportunities and threats (SWOT) has been conducted, unveiling the dynamic interplay of development factors against the backdrop of threats and opportunities within mineral deposits exploitation projects. This analysis facilitates the identification of critical problem areas, bottlenecks, prospects, and risks, considering environmental considerations. The application of this novel intelligent technology significantly streamlines the development process for mining investment projects, guiding the selection of ventures that promise enhanced production efficiency, cost reduction, and minimized environmental harm. The methodological approach adopted in this study aligns with the highest standards of academic rigour, ensuring consistency in the use of professional terminology throughout the article and adhering to the stylistic and structural norms prevalent in leading academic journals. By leveraging an intelligent, systematic framework for risk analysis, this research contributes valuable insights into optimizing investment decisions in the mining sector, emphasizing sustainability and economic viability.

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“…We assume that with an increase in the average pixel values by 3%, the embryos also develop normally, then the task of classifying eggs for three days of incubation is performed based on the equation: (4) Where 𝛽 = 𝑋 & 8 * 1.03 is the threshold average pixel value for the i-th day of incubation. The Vision Assistant module allows you to quickly and easily try various processing methods, as well as view the results of the operation of certain filters and functions on images of various types [28]- [31]. To continue working on the project, National Instruments provides the ability to export the finished Vision Assistant project to LabVIEW.…”

Section: Resultsmentioning

confidence: 99%

The Use of a Vision System for Monitoring Chick Embryos in Incubator

Al-Ansi,

Ryabtsev,

Utkina

2023

Spekta

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Background: Determine the quality of hatching eggs and control the process of their embryonic development, it is necessary to perform candling of eggs, which makes it possible to identify and eliminate the causes of low hatching of chicks. Contribution: The proposed vision system for processing images of chicken eggs makes it possible to distinguish fertilized eggs from unfertilized ones, which makes it possible to change the parameters of the incubator in the event of a large number of dead embryos. Method: With the help of the National Instruments Vision Assistant module, which simplifies the collection, reproduction and storage of images recorded using a video camera connected via a FireWire interface, an incubator vision system has been developed. Results: The yield of healthy chicks is increased due to the periodic automatic candling of eggs and the timely regulation of parameters during the incubation process. Conclusion: Being able to monitor embryo development more closely allows you to determine the optimal time to change incubation parameters, such as humidity, to create the best conditions for egg hatching, leading to more efficient chick production. Similarly, the ability to use different light and temperature conditions to influence chick hatch time can allow for a faster incubation process and hatch healthy chicks in a shorter period of time.

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Reinforcement of student-centered learning through social e-learning and e-assessment

Cited by 20 publications

References 13 publications

mHealth and e-Learning in health sciences curricula: a South African study of health sciences staff perspectives on utilisation, constraints and future possibilities

mHealth and e-Learning in health sciences curricula: a South African study of health sciences staff perspectives on utilisation, constraints and future possibilities

Intelligent Risk Analysis of Investment Projects in the Extractive Industry

The Use of a Vision System for Monitoring Chick Embryos in Incubator

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