Search results

This paper tactics to implement the attack detection in medical Internet of things (IoT) devices using improved deep learning architecture for accomplishing the concept bring your own device (BYOD). Here, a simulation-based hospital environment is modeled where many IoT devices or medical equipment are communicated with each other. The node or the device, which is creating the attack are recognized with the support of attribute collection. The dataset pertaining to the attack detection in medical IoT is gathered from each node that is considered as features. These features are subjected to a deep belief network (DBN), which is a part of deep learning algorithm. Despite the existing DBN, the number of hidden neurons of DBN is tuned or optimized correctly with the help of a hybrid meta-heuristic algorithm by merging grasshopper optimization algorithm (GOA) and spider monkey optimization (SMO) in order to enhance the accuracy of detection. The hybrid algorithm is termed as local leader phase-based GOA (LLP-GOA). The DBN is used to train the nodes by creating the data library with attack details, thus maintaining accurate detection during testing.

This paper has presented novel attack detection in medical IoT devices using improved deep learning architecture as BYOD. With this, this paper aims to show the high convergence and better performance in detecting attacks in the hospital network.

From the analysis, the overall performance analysis of the proposed LLP-GOA-based DBN in terms of accuracy was 0.25% better than particle swarm optimization (PSO)-DBN, 0.15% enhanced than grey wolf algorithm (GWO)-DBN, 0.26% enhanced than SMO-DBN and 0.43% enhanced than GOA-DBN. Similarly, the accuracy of the proposed LLP-GOA-DBN model was 13% better than support vector machine (SVM), 5.4% enhanced than k-nearest neighbor (KNN), 8.7% finer than neural network (NN) and 3.5% enhanced than DBN.

This paper adopts a hybrid algorithm termed as LLP-GOA for the accurate detection of attacks in medical IoT for improving the enhanced security in healthcare sector using the optimized deep learning. This is the first work which utilizes LLP-GOA algorithm for improving the performance of DBN for enhancing the security in the healthcare sector.

The purpose of this research is to discuss a variety of empirical findings suggesting that surprise is positively related with enhanced memory recall. This opens the door for the assumption that surprising stimuli can be used in a controlled way to enhance learning.

A predictive model based on a Darwinian interpretation of this phenomenon is proposed. The model is coined CLEBS, which stands for “computer‐based learning enhanced by surprise”.

A discussion on how the model can be tested is provided in the context of a finance‐oriented Web‐based learning task, where subjects learn about investment instruments such as stocks and bonds.

Important implications are discussed, including possible applications in a variety of areas of interest to organizations in general.

The purpose of this papers is to provide an overview of how students and teachers in Taiwan conceptualize learning, especially in technology-enhanced learning environments. Their conceptions of learning reveal the extent to which the prevalence of technological use in education has facilitated students to cultivate a more advanced conception of learning and develop a deeper learning approach.

It reviews a total of nine relevant case studies, covering the contexts of conventional schools (from elementary schools to college, and cram schools) as well as technology-enhanced environments (internet-assisted learning and mobile learning); and participants from Grade 2 students to adult learners as well as teachers. Their conceptions of learning and preferred learning approaches are summarized.

Results of the studies show the Taiwanese students’ and teachers’ conceptions of learning in general and of technology-enhanced learning in particular. The students tended to be passive learners to receive instructions and considered examinations as a short-term goal for their study, with surface learning approaches commonly adopted. Despite technology may help to promote their cultivation of a more sophisticated conception of learning, many of them still opted for rote memorization and practice as the major ways to study. The potentials of technology in enhancing learning thus have not been fully realized.

The results shed light on an Asian-specific educational culture which is exam oriented. They reveal the challenges regarding the use of technology in education, which hinder the promotion of students’ advanced conceptions of learning. They also highlight the directions of future work to create a more accessible and gratifying technology-enhanced environment.

The purpose of this study was to analyse institutional strategy documents relating to technology-enhanced learning.

In total, 84 documents were sampled from 71 leading higher education institutions (HEIs), identified through the Quacquarelli Symonds World University Rankings 2018. Qualitative content analysis with a directed approach was used to analyse the strategy documents. The specific theory used was disruptive innovation. The use of “innovation”, or variants thereof, was counted in each document. Ten case studies from the sample were used for content analysis.

Technology-enhanced learning-related strategy documents are conservative, advocating the more efficient use of existing technologies, or the incremental enhancement of existing technologies, but not transformation through technology.

By evaluating the extent to which selected institutional strategies engage with innovation in technology-enhanced learning, this study argues HEIs advocate sustaining innovation or efficiency innovation to a greater extent than disruptive innovation.

The purpose of this study is to scrutinise individual learning strategies in their workplace when they were experiencing digital innovation. Moreover, the respective enablers and challenges of each category of strategies were explored to conceptualise supporting features needed in the digital learning environment.

This study adopts a qualitative inquiry to understand employees’ workplace learning strategies and the respective enablers, and challenges in each category of strategies. Twenty employees across different industries were interviewed, and a two-cycle inductive coding analysis was adopted to identify the categories of learning strategies.

Four categories of workplace learning strategies were identified: self-driven, social-leveraged, enterprise-oriented and information and technology-enhanced (IT-enhanced) strategies. Enablers and challenges of each category were also presented in this study.

The findings provide insights for individuals to establish a repertoire of learning strategies. The inadequate use of IT-enhanced strategies is additionally addressed.

This study examined workplace learning strategies in the context of digital innovation. Based on the empirical findings and existing literature, this study proposes a framework with the supporting features for a digital learning environment.

The ability to project oneself into a future landscape is a critical aspect for studying and practicing the science of foresight and foresight-based learning systems. The purpose of this paper is to discuss how we can construct immersive spatial narratives through multimedia-enhanced learning approaches, to increase deeper learner immersion and levels of creativity to transport the learner into a simulated 2030 landscape by reducing the distance between the projected reality and the Self.

The author designed a foresight-based course on the Future of Mobile Learning underpinned by a new learning system that embraced the concept of immersive spatial narratives, combining physical, virtual and cognitive learning spaces, which enable students to explore complex, undiscovered or unstructured knowledge. Practicing was carried out on 35 students who had completed the course during the preceding three years through a questionnaire and interviews to establish increased levels of creativity in a simulated future landscape.

The paper established that the addition of multimedia learning environments and tools to foresight-based learning creates immersive spatial narratives that increase creativity and learner ability to project him/herself into a simulated future landscape. In all, 75 per cent of the respondents stated that having to think about the future and place themselves in a practicing landscape increased their creative skills.

A new, foresight-based learning system driven by the concept of immersive spatial narratives, enhanced with student-created multimedia learning tools. The system demonstrated how this approach helps to increase learner creativity and the ability to transition from their Present Self to their Future Self.

The purpose of this paper is to examine the determinants of learners' satisfaction with a new blended learning method, namely online video presentations.

The study tests the proposed model using responses from 353 students who were exposed to the new method. Regression analysis was used to test the hypotheses.

The results show that both the perceived social (e.g. reduction in comparison bias) and utilitarian (e.g. presentation originality) benefits increase satisfaction with the online video presentation method, from both the creator's and the learner's perspectives.

This study provides several guidelines to instructors employing blended learning methods, as well as designers of platforms that enable blended learning.

This study provides a model to understand the determinants of learners' satisfaction with a new blended learning method. It looks at these determinants from both the content creators' perspective and the content viewer's perspective.

Organizational learning capabilities are embedded in organizational communication systems and processes related to knowledge creation and articulation. The emergence of new organizational forms (such as horizontal organizations) in rapidly‐changing environments and hyper‐competitive markets underscores the need to better understand these foundational sources of learning. In fact, the reason horizontal organizations may find success is that their structure is intended to promote communications systems and processes which enhance a knowledge‐response sequence similar to a stimulus‐response sequence associated with learning. These systems permit managers to quickly gather information, respond with agility in making decisions, and continue to make ongoing adjustments. Firms which understand the need to build their communications capabilities may be characterized as meta‐learning organizations. Resource‐based theory suggests that communications systems and processes are thus sources of competitive advantage. Future empirical research on organizational learning may progress by evaluating specific measures of communication process as proxies for learning processes.

Various technology-enhanced learning software and tools exist where technology becomes the main driver for these developments at the expense of pedagogy. The literature reveals the missing balance between technology and pedagogy in the continuously evolving technology-enhanced learning domain. Consequently, e-learners struggle to realise the pedagogical value of such e-learning artefacts. This paper aims to understand the different pedagogical theories, models and frameworks underpinning current technology-enhanced learning artefacts to pave the way for designing more effective e-learning artefacts.

To achieve this goal, a review is conducted to survey the most influential pedagogical theories, models and frameworks. To carry out this review, five major bibliographic databases have been searched, which has led to identifying a large number of articles. The authors selected 34 of them for further analysis based on their relevance to our research scope. The authors critically analysed the selected sources qualitatively to identify the most dominant learning theories, classify them and map them onto the key characteristics, criticism, approaches, models and e-learning artefacts.

The authors highlighted the significance of pedagogies underpinning e-learning artefacts. Furthermore, the authors presented the common and special aspects of each theory to support our claim, which is developing a hybrid pedagogical approach. Such a hybrid approach remains a necessity to effectively guide learners and allow them to achieve their learning outcomes using e-learning artefacts.

The authors found that different pedagogical approaches complement rather than compete with each other. This affirms our recommended approach to adopt a hybrid approach for learning to meet learners' requirements. The authors also found that a substantive consideration for context is inevitable to test our evolving understanding of pedagogy.

The purpose of this paper is to investigate the possible benefits of a work‐based learning (WBL) model in “social entrepreneurship” for enhancing graduate employability and an appreciation for “responsible” entrepreneurship.

Pre‐ and post‐course experience surveys were conducted with the yearly cohorts, followed by focus group discussions with students in each semester between 2008 and 2011. In addition, ten not‐for‐profit (NFP) industry partners were interviewed for their feedback on the enhanced curriculum.

The findings strongly validate the adoption of WBL curriculum for social entrepreneurship in enhancing graduate employability and opportunities for responsible entrepreneurship education. The case study also provides insights into how to overcome the key challenges relating to designing and implementing WBL models through a curriculum innovation in social entrepreneurship.

Further research with longitudinal data is needed to validate the link between students undertaking work‐based learning and enhanced graduate employability. Future research should also investigate whether there is a major difference in the associated benefits and challenges of WBL initiatives between “social” and “for‐profit” enterprises.

Higher education providers could consider incorporating WBL as part of their response to the employability agenda, in a climate where employers are increasingly seeking graduates who possess entrepreneurial skills and an awareness of ethical and environmental concerns emerging from the new post‐global recession economic era.

Social entrepreneurship has received scant attention within the field of WBL. This case study demonstrates how this field can inform the WBL model to enhance graduate employability. It also provides a case for how WBL within the NFP sector can produce more socially responsible graduates who are capable of adding value to the CSR initiatives of organisations across sectors.