Employers are facing difficulties in selecting the most suitable candidates for employment and the transition from education to work is challenging for young graduates. Therefore, it is important to have indicators that could show the suitability of a potential candidate for his/her chosen job. A person who possesses knowledge but lacks confidence may struggle to perform assigned tasks, while an overly confident person with limited knowledge is likely to make errors in their job. Although there is existing research on learning analytics related to assessments, the research on learning analytics specifically focused on the confidence-knowledge relationship based on assessment data is still lacking. This article aims to examine the application of analytics in providing insights based on assessment data that can be utilized by potential employers. To achieve this, a systematic review was carried out, analyzing a total of 141 articles. The findings contribute to a better understanding of t.....

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The unprecedented challenges posed by the global COVID-19 pandemic have significantly impacted various sectors, with the agri-food system proving especially vulnerable to disruptions. Ensuring food security and bolstering the resilience of agri-food systems in the aftermath of the pandemic has emerged as a crucial concern. Utilizing the PRISMA protocol, this systematic literature review systematically searched relevant databases and repositories using specific keywords related to agri-food security in the pre and post-pandemic context. The final review incorporated 37 articles. The results revealed that the pandemic profoundly impacted all facets of the agri-food sector, particularly agri-food systems. Despite this, we identified several measures that were implemented or recommended to mitigate disruptions caused by the pandemic and ensure the resilience of the agrifood sector for future similar events. Robust policy measures, promotion of urban agriculture, support for small-scale far.....

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The increasing prevalence of exploratory factor analysis (EFA) applications in scholarly literature reflects its popularity and the convenience of computer-assisted analysis. With advancements in computer hardware and software, the complexity and variations of EFA analysis have also grown. Despite the availability of sophisticated computer programming, the appropriate utilization of EFA necessitates users to make informed judgments. Additionally, users are responsible for searching and identifying suitable statistical software to accommodate their data and analysis requirements. This review aims to enhance understanding of the EFA technique and summarize the analysis options available for EFA in R packages. A total of 50 packages were examined in this study. Specifically, the review focuses on (1) diagnostic functions, (2) factor extraction, (3) factor retention, (4) factor rotation, and (5) complex data and technique features provided by these packages. The review summarizes the avail.....

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This study delves into the integration of Project-Based Learning (PBL) and Computational Thinking (CT) to enhance 21st century learning. Through a Narrative Literature Review (NLR), pivotal strategies for effective implementation are identified. These include fostering collaborative pedagogy, employing visualization tools, embracing diverse inquiry approaches, providing scaffolding, integrating local materials, and incorporating framework elements. The findings highlight the significance of comprehensive frameworks and underscore areas for further research to enrich teaching practices. By adapting the PRISMA framework and reviewing relevant articles from 2017 to 2022, this study offers valuable insights for educators aiming to integrate PBL-CT successfully into their teaching methodologies. It emphasizes the need for constructivist and collaborative approaches to learning, along with the utilization of visualization tools to aid comprehension. Moreover, diverse inquiry approaches coupl.....

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This article has been retracted: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/about/policies/article-withdrawal). This article has been retracted at the request of the Principal Editor. After a thorough investigation, the Editor has concluded that the review process for this article was compromised. The acceptance was based on information from at least two reviewer reports that were submitted from email accounts provided to the journal as suggested reviewers during the submission of the article. Although purportedly real reviewer accounts, the Editor has concluded that these were not of appropriate, independent reviewers. This manipulation of the peer-review process represents a clear violation of the fundamentals of peer review, our publishing policies, and publishing ethics standards. Apologies are offered to the reviewers whose identities were assumed and to the readers of the journal that this deception was not detected during the submission process...

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Mobile apps for sign language are a fascinating area of research that merits a lot of attention. These apps are widely used due to their affordability and usability. Nevertheless, the quality of these apps needs to be evaluated if they are to have a significant influence. The outcomes of app quality assessment can also stimulate app development efforts and improvements to their functionality and accuracy. Therefore, to gain more in depth understanding, four academic databases (Science Direct, IEEE, Association for Computing Machinery, and Web of Science) were searched as part of a systematic literature review. The review highlighted that sign language apps require further development to support users in achieving the greatest possible usage and learning experience. We present a solution framework based on a quality assessment criterion for sign language mobile apps that could be adopted by academics and developers. Alternative identification, criteria, and development are the three pri.....

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Mobile apps for sign language are a fascinating area of research that merits a lot of attention. These apps are widely used due to their affordability and usability. Nevertheless, the quality of these apps needs to be evaluated if they are to have a significant influence. The outcomes of app quality assessment can also stimulate app development efforts and improvements to their functionality and accuracy. Therefore, to gain more in depth understanding, four academic databases (Science Direct, IEEE, Association for Computing Machinery, and Web of Science) were searched as part of a systematic literature review. The review highlighted that sign language apps require further development to support users in achieving the greatest possible usage and learning experience. We present a solution framework based on a quality assessment criterion for sign language mobile apps that could be adopted by academics and developers. Alternative identification, criteria, and development are the three pri.....

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The authors regret that they have missed to add the second affiliation of the author A.S. Albahri. The additional affiliation of A.S. Albahri should be included as follows: Technical College, Imam Ja'afar Al-Sadiq University, Baghdad, Iraq. The authors would like to apologise for any inconvenience caused. © 2023 Elsevier Ltd..

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