Search results

Presently the whole world has been experiencing a pandemic threat of coronavirus diesease 2019 (COVID-19) and at the same time facing unprecedented changes in everything including education. E-learning has evolved as the only alternative of knowledge transmission even in third world nations, and e-assessment has been playing an increasingly important role in this digital transformation of education. But how far and of what depth it has made its place among students' minds need to be studied to leverage its full potential to transform students' learning needs. This study reports an investigation made in this direction.

An online survey consisting of 40 questions in Google Forms was conducted to collect primary data on students' perception of e-assessment among 200 Indian students pursuing higher education from several geographical locations. The quantitative methodological approach was followed. The data were analyzed descriptively and inferentially.

The results were analyzed based on the model of acceptance and usage of e-assessment (MAUE), and findings revealed that students' overall perception toward e-assessment was of moderate level and this perception varies depending on their gender, academic level, nature of the stream of study and their economic condition. Of the eight domains investigated, students showed better perception in the perceived usefulness, perceived ease of use, compatibility, subjective norms and self-efficacy domains, while they cut a sorry figure in domains like awareness, resource facilitation and information technology (IT) support. It became evident from their responses that COVID was instrumental in enhancing their interest in e-assessment.

The implication of this study lies in strengthening e-assessment by attending to the factors as noted in the MAUE in India and alike developing nations having huge space left for e-learning to reach a boom.

This is an empirical investigation conducted in India on the state of students' perception of the e-assessment in the backdrop of the COVID-19 outbreak. To do this work, the authors conducted online surveys, and the write-up of the findings focus on the survey data only.

Limited facilities operating and modernization budgets require organizations to carefully identify, prioritize and authorize projects to ensure allocated resources align with strategic objectives. Traditional facility prioritization methods using risk matrices can be improved to increase granularity in categorization and avoid mathematical error or human cognitive biases. These limitations restrict the utility of prioritizations and if erroneously used to select projects for funding, they can lead to wasted resources. This paper aims to propose a novel facility prioritization methodology that corrects these assessment design and implementation issues.

A Mamdani fuzzy logic inference system is coupled with a traditional, categorical risk assessment framework to understand a facilities’ consequence of failure and its effect on an organization’s strategic objectives. Model performance is evaluated using the US Air Force’s facility portfolio, which has been previously assessed, treating facility replicability and interruptability as minimization objectives. The fuzzy logic inference system is built to account for these objectives, but as proof of ease-of-adaptation, facility dependency is added as an additional risk assessment criterion.

Results of the fuzzy logic-based approach show a high degree of consistency with the traditional approach, though the value of the information provided by the framework developed here is considerably higher, as it creates a continuous set of facility prioritizations that are unbiased. The fuzzy logic framework is likely suitable for implementation by diverse, spatially distributed organizations in which decision-makers seek to balance risk assessment complexity with an output value.

This paper fills the identified need for portfolio management strategies that focus on prioritizing projects by risk to organizational operations or objectives.

This research aims to explore leadership approaches that foster deeper learning and facilitate the transition from traditional schooling to a model aligned with the demands of the post-industrial digital knowledge society.

Employing a mixed-methods approach, the authors conducted surveys among school principals within a network of schools embracing deeper learning based on ten distinct but interlocking criteria that define this particular model of deeper learning. Through in-depth follow-up interviews with school leaders, the authors investigated the factors and obstacles that support sustainable implementation and scalability of deeper learning, with a specific focus on the role of transformational leadership.

During the implementation of transformative practices like deeper learning, school leaders demonstrate diverse perspectives on the necessary changes for their successful integration. Leaders inclined toward a “transactional” leadership style concentrate on changes within individual classrooms. Conversely, leaders exemplifying “transformational leadership” possess a broader vision and address systemic factors such as teacher collaboration, assessment regulations and the effective utilization of time and space within schools. To achieve widespread adoption of deeper learning across schools and the education system, it is essential to recruit more transformational leaders for formal leadership positions and reorient leadership training toward transformational approaches.

The deeper learning model developed for this intervention encompasses a four-stage process: Teachers initially collaborate in small teams to co-design interdisciplinary, deeper learning units. The actual units consist of three sequences: knowledge acquisition, where students gain knowledge through direct instruction supplemented by personalized learning on digital platforms; team-based co-creative and co-constructive tasks facilitated by teachers once students have acquired a solid knowledge base and the completion of authentic tasks, products or performances in sequence III. While small groups of intrinsically motivated teachers have successfully implemented the model, achieving broader scalability and dissemination across schools requires significant “transformational leadership” to challenge traditional norms regarding teacher collaboration, assessment practices and the efficient use of time and space in schools.

This paper presents a structured model of deeper learning based on ten distinct but interlocking quality criteria tested within a network of 26 schools. The model has demonstrated transformative effects on participating schools, albeit primarily observed in smaller substructures of large secondary schools. Teachers who previously worked independently have begun to collaboratively design learning experiences, resulting in “hybrid” classrooms where physical and digital spaces merge and extend to include maker spaces and out-of-school learning environments. Traditional summative assessments have been replaced by various forms of embedded formative assessment. However, these innovations are currently driven by small groups of intrinsically motivated teachers. The research provides insights into the type of school leadership necessary for comprehensive scaling and system-wide dissemination of deeper learning.

The aim of the article is to develop a framework for assessment for contemporary commercial music (CCM) in a music department that is still organised in a traditional way. Assessment of CCM in tertiary institutions and external graded music exams were described and analysed, followed by the presentation of an assessment framework.

This research design is a content analysis. Data was collected through purposive sampling of primary sources of CCM syllabi. These syllabi are used descriptively and analytically for comparison.

The major findings from the content analysis are presented as an assessment framework for CCM. The assessment framework has implications for teaching and learning vocal CCM at both undergraduate and postgraduate in higher education.

The study focused on the development of assessment criteria for CCM, in a music department where no degree specialisation for CCM exists, and CCM is manifested in the principal instrument only. The framework for assessment may be useful to practitioners and academics who are attempting to introduce CCM in classically oriented music departments and where external constraints prohibit the introduction of a degree specialising in CCM.

This article presents an authentic assessment framework for CCM, that considers its style and performance practices.

This paper investigates the performance assessment of liner shipping industry and presents a multi-dimensional evaluation framework to ensure both financial and non-financial monitoring. The traditional performance assessment approach is based on the financial indicators such as ratio analysis, but it is limited to the fiscal perspective. The meaning of performance has dramatically changed and non-financial (and intangible) assets increased their importance in recent years. Under these circumstances, the multi-attribute performance assessment methods play a critical role to combine many aspects of the business. Balanced Scorecard (BSC) is originally developed for the multi-attribute performance assessment and its philosophy on business process evaluation pioneered the importance of key performance indicators and the quality management issues including the internal customer. Service quality and the business performance assessment are some of the hot issues in the liner shipping industry and the long term competitiveness is a critical concern in the recent liner shipping business. The BSC method is utilized to ensure a cumulative analysis of the short/long and tangible/intangible indicators of performance and computes the weight of each criterion by using Fuzzy-AHP method in the liner shipping industry.

The shift from paper portfolios to e-portfolios has arrived in educational institutions worldwide. This study investigates e-portfolio systems as a means of improving performance-centered assessment, enriching students’ learning experiences and documenting the students’ progress and achievements. The current study reveals the experience of implementing a course-level framework for e-portfolios and an approach taken in initiating student electronic portfolios in the Department of Educational Technology (DET) at Ajman University of Science and Technology, UAE. Data was obtained in several ways, including Likert scale responses and interviews with the participants; students’ journals and final reports; notes from the Practicum site supervisor and the DET lab technician; and analysis of the electronic portfolio product. The work and responses of the Practicum students were compared for three consecutive Practicum classes. Analysis of the results showed that developing formative and summative portfolios fluctuated extensively between the three Practicum classes of DET graduates, as did the outcomes. In spite of this fact, the findings suggested that the use of e-portfolios could serve as an influential learning and assessment tool when driven by a clear understanding of the desired outcome and the specific skills to be assessed, and when sufficiently mentored, peer-reviewed, and based on sensible principles.

The purpose of this paper is to better understand the theory and practice of peer review in open-access mega-journals (OAMJs). OAMJs typically operate a “soundness-only” review policy aiming to evaluate only the rigour of an article, not the novelty or significance of the research or its relevance to a particular community, with these elements being left for “the community to decide” post-publication.

The paper reports the results of interviews with 31 senior publishers and editors representing 16 different organisations, including 10 that publish an OAMJ. Thematic analysis was carried out on the data and an analytical model developed to explicate their significance.

Findings suggest that in reality criteria beyond technical or scientific soundness can and do influence editorial decisions. Deviations from the original OAMJ model are both publisher supported (in the form of requirements for an article to be “worthy” of publication) and practice driven (in the form of some reviewers and editors applying traditional peer review criteria to OAMJ submissions). Also publishers believe post-publication evaluation of novelty, significance and relevance remains problematic.

The study is based on unprecedented access to senior publishers and editors, allowing insight into their strategic and operational priorities. The paper is the first to report in-depth qualitative data relating specifically to soundness-only peer review for OAMJs, shedding new light on the OAMJ phenomenon and helping inform discussion on its future role in scholarly communication. The paper proposes a new model for understanding the OAMJ approach to quality assurance, and how it is different from traditional peer review.

The main purpose of this study was to examine the relationship between student ratings and teacher ratings on a university-level writing assignment in order to investigate the extent to which students have the ability and wherewithal to accurately and reliably assess themselves on a finished writing product. The Pearson Product Moment coefficient was used to determine whether or not there was a statistical correlation between student scores and teacher scores while the Intra-Class Coefficient and Spearman Brown Prophecy formula were used to determine the degree of agreement between raters as well as amongst all of the raters for an average reliability score. In this case the results were very promising as it was found that student and teacher scores correlated very highly and demonstrated a strong degree of agreement. This suggests that self assessment may be used to assist students in this particular context to better understand the conventions of English writing and ultimately improve their overall writing ability.

This study aims to address the issue of practicing information security risk assessment (ISRA) on cloud solutions by studying municipalities and large organizations in Sweden.

Four large organizations and five municipalities that use cloud services and conduct ISRA to adhere to their information security risk management practices were studied. Data were gathered qualitatively to answer the study’s research question: How is ISRA practiced on the cloud? The Coat Hanger model was used as a theoretical lens to study and theorize the practices.

The results showed that the organizations aimed to follow the guidelines, in the form of frameworks or their own experience, to conduct ISRA; furthermore, the frameworks were altered to fit the organizations’ needs. The results further indicated that one of the main concerns with the cloud ISRA was the absence of a culture that integrates risk management. Finally, the findings also stressed the importance of a good understanding and a well-written legal contract between the cloud providers and the organizations using the cloud services.

As opposed to the previous research, which was more inclined to try out and evaluate various cloud ISRA, the study provides insights into the practice of cloud ISRA experienced by the organizations. This study represents the first attempt to investigate cloud ISRA that organizations practice in managing their information security.