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        <title>Latest Articles from JUCS - Journal of Universal Computer Science</title>
        <description>Latest 5 Articles from JUCS - Journal of Universal Computer Science</description>
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            <title>Latest Articles from JUCS - Journal of Universal Computer Science</title>
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		    <title>JobMatcher: Multi-Layer Personalized and Inclusive Job Recommendations</title>
		    <link>https://lib.jucs.org/article/157024/</link>
		    <description><![CDATA[
					<p>JUCS - Journal of Universal Computer Science 32(2): 286-302</p>
					<p>DOI: 10.3897/jucs.157024</p>
					<p>Authors: Mashael M. Alsulami, Kholoud Althobaiti, Haneen Algethami</p>
					<p>Abstract: Job recommendation systems play a critical role in matching individuals with relevant career opportunities based on their skills and experiences. However, many existing systems struggle to balance precision and contextual relevance, leading to mismatches in job recommendations. In this paper we introduce JobMatcher, a multilayered recommendation system that integrates a well established technique, cosine similarity and KNN clustering with ChatGPT based evaluation. Initial recommendations are generated through content-based filtering and refined via clustering similar job descriptions aligned with user profiles by seniority and trajectory. To enhance contextual accuracy, GPT 3.5 turbo was prompted to act as an expert evaluator, scoring top recommendations based on skill relevance and career fit using structured and unbiased prompts. In a user study with seven domain experts and ten user profiles, system-selected jobs scored significantly higher (mean = 3.43 compared to 2.99 for KNN clustering, p = 0.0035), with moderate inter-rater agreement (Kendall&rsquo;s W = 0.417). JobMatcher bridges algorithmic filtering with human like evaluation, offering a scalable, intelligent solution for improved job matching.</p>
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		    <category>Research Article</category>
		    <pubDate>Sat, 28 Feb 2026 16:00:07 +0000</pubDate>
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		    <title>Developing a BYOD Scale to Measure the Readiness Level: Validity and Reliability Analyses</title>
		    <link>https://lib.jucs.org/article/23769/</link>
		    <description><![CDATA[
					<p>JUCS - Journal of Universal Computer Science 23(12): 1113-1131</p>
					<p>DOI: 10.3217/jucs-023-12-1113</p>
					<p>Authors: Murat Topaloglu, Dilek Kırar</p>
					<p>Abstract: The BYOD programme is a trend that aims to provide companies and workers with the next generation of security methods and flexible business models. These have been developed recently as a result of technological developments, especially in smart devices. Individuals from the "Y generation", who are also called the millennials, have a significant influence on shaping the present and future technology. Y generation employees want to use their own devices, including their own personal applications. Allowing employees to use their own devices does not mean that you will lose anything or have no control. For this reason, the BYOD policy, when implemented at a good level, significantly increases business performance and increases the productivity with the benefits provided by mobility. The BYOD tendency, which is difficult to avoid, increases the productivity of employees and the flexibility of the company in the eyes of the employees, by letting them use their own devices in the business environment. Moreover, it reflects positively on the employees' morale, with a subsequent increase in company loyalty. The aim of this study is to evaluate the validity and reliability analyses done during the development of the scale which aims to measure the effects of BYOD on workers and to assess its security components, benefits, applicability and sustainability. Our goal is to revise the previous research done and present objective values and findings obtained from the analyses. These values were based on the demographic information and the answers given by participants about to what extent BYOD is known and legal, its vulnerabilities in infrastructure and data security, the way it affects workers' perceptions individually and in general, and the benefits it provides. SPSS 20 program was used for descriptive statistics, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), item analyses and correlation coefficients.</p>
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			]]></description>
		    <category>Research Article</category>
		    <pubDate>Thu, 28 Dec 2017 00:00:00 +0000</pubDate>
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		    <title>Analyzing Communication Dimensions in a Ubiquitous Learning Environment</title>
		    <link>https://lib.jucs.org/article/22899/</link>
		    <description><![CDATA[
					<p>JUCS - Journal of Universal Computer Science 22(1): 124-145</p>
					<p>DOI: 10.3217/jucs-022-01-0124</p>
					<p>Authors: Dilek Karahoca, Adem Karahoca, Ayça Kurnaz</p>
					<p>Abstract: This study aims to investigate certain communication dimensions to assess the impact of Computer Mediated Communication (CMC) tendencies of students on ubiquitous environments. Communication dimensions were determined as message content, message interaction, semantic of message, emotional situation, and security. Message content was used as a determiner indicator to measure the effectiveness of communication methods in ubiquitous environments. The effects on the inclination to communicate in ubiquitous learning environments are explained in detail with Partial Least Squares Structural Equation Modeling (PLS-SEM). Message interaction, semantic of message, and security all have a great impact on the adoption of message content; therefore, they promote students' engagement through ubiquitous learning. According to the correlation values, we observed that the user is prone to participate in CMC if the message is meaningful, replied to immediately, sent from someone that looks familiar and sent to the right person.</p>
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			]]></description>
		    <category>Research Article</category>
		    <pubDate>Fri, 1 Jan 2016 00:00:00 +0000</pubDate>
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		    <title>Meta-Cognitive Tool Development for History Teaching: Investigating how Software Usability Affects Student Achievements</title>
		    <link>https://lib.jucs.org/article/23172/</link>
		    <description><![CDATA[
					<p>JUCS - Journal of Universal Computer Science 19(5): 619-638</p>
					<p>DOI: 10.3217/jucs-019-05-0619</p>
					<p>Authors: Dilek Karahoca</p>
					<p>Abstract: This paper presents a Meta-Cognitive Tool (MCT) development for history teaching. It was developed to support teaching history of civilization courses at the engineering faculty. It covers hierarchically arranged concept maps which are presented dynamically by using Extensible Markup Language (XML) files. MCTs are integrated in e-learning portals to support self-learning. MCTs were investigated in terms of the Human Computer Interaction (HCI) discipline to evaluate their usability in online courses. For this purpose, relationships between learners' cognitive abilities, individual differences, and usability of e-learning portal were considered in order to create a model between individual differences and software usability. The usability of MCT was evaluated by 116 (70 male, 46 female) subjects who were registered for the HUM1005 History of Civilization I, a general elective course at the faculty of engineering. They completed four different surveys: an IQ survey, a personality survey, a motivation survey, and a software usability measurement inventory (SUMI). This research compares intelligence, personal factors, and motivation factors with the personal software usability results in order to determine the correlations and associations between the usability of the software and learners individual differences. In the study, results show that the usability of any education tool has effect on achievement of the learner. Noteworthy, a correlation was found between Grade Point Average (GPA) and usability scores.</p>
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			]]></description>
		    <category>Research Article</category>
		    <pubDate>Fri, 1 Mar 2013 00:00:00 +0000</pubDate>
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		    <title>Atomicity as a First-Class System Provision</title>
		    <link>https://lib.jucs.org/article/28396/</link>
		    <description><![CDATA[
					<p>JUCS - Journal of Universal Computer Science 11(5): 651-660</p>
					<p>DOI: 10.3217/jucs-011-05-0651</p>
					<p>Authors: J. Eliot B. Moss, Ravi Rajwar</p>
					<p>Abstract: We argue that atomicity, i.e., atomic actions with most of the traditional "ACID" properties, namely atomicity, consistency, and isolation but perhaps not durability, should be provided as a fundamental first class resource in computer systems. This implies coherent, convenient, and well-engineered support from the hardware, through the run-time system, programming language, and libraries, to the operating system. We articulate the advantages of this approach, indicate what has already been accomplished, and outline what remains to be done to realize the vision.</p>
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			]]></description>
		    <category>Research Article</category>
		    <pubDate>Sat, 28 May 2005 00:00:00 +0000</pubDate>
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