https://journals.e-palli.com/home/index.php/ijm/issue/feedInternational Journal of Metaverse2023-12-30T08:48:11+00:00Managing Editormanagingeditor.ijm@e-palli.comOpen Journal Systems<p><strong><em>The International Journal of Metaverse (IJM) </em></strong>is an open-access and double-blind peer-reviewed international journal publishing articles that emphasize research, development, and application within or between the fields of Innovative Research<em><strong>.</strong></em> The IJM reviews papers within <strong>the shortest possible time</strong> of submission and publishes accepted articles online first immediately upon receiving the final versions.</p> <p><em><strong>ISSN: 2837-2417 (Online)</strong></em></p> <p><strong>Aim & Scope<br /></strong>IJM aims to provide a platform for scientists, development workers, practitioners, and academicians to promote more visibility internationally and provide the opportunity to discuss critically and analyze different issues in science and technology. The journal also aims to be the most important journal in scientific societies by getting indexed in Scopus, Web of Science, and high-impact factors in the coming years.</p> <p><strong>Frequencies of publication<br /></strong>One issue in a year while it accepts articles throughout the years and publishes online first immediately after acceptance of the final version.</p> <p><strong>Area of publication</strong><br />◉ Digital technologies<br />◉ Metaverse<br />◉ Artificial intelligence<br />◉ Blockchain<br />◉ Virtual reality<br />◉ Augmented reality, etc.</p>https://journals.e-palli.com/home/index.php/ijm/article/view/2286The Mediating Effect of AI Trust on AI Self-Efficacy and Attitude Toward AI of College Students2023-11-28T02:58:15+00:00Brandon N Obenzabobenza@umindanao.edu.phJasper Simon Ian E Baguiobobenza@umindanao.edu.phKaryl Maxine W Bardagobobenza@umindanao.edu.phLemuel B Granadobobenza@umindanao.edu.phKelvin Carl A Lorecobobenza@umindanao.edu.phLevron P Matugasbobenza@umindanao.edu.phDarcy John Talabocbobenza@umindanao.edu.phRolemir Kirk Don D Zayasbobenza@umindanao.edu.phJohn Harry S Caballobobenza@umindanao.edu.phRia Bianca R Caangaybobenza@umindanao.edu.ph<p>This quantitative study investigated the mediating effect of AI trust on the relationship between AI self-efficacy and attitude toward AI of college students in Region XI, Philippines. Using adapted questionnaires, the data were gathered online via Google Forms, where the respondents were selected using stratified random sampling. Validity and reliability tests were employed on the measurement model, descriptive statistics were also used to describe the constructs in the study, while mediation analysis using the standard algorithm-bootstrapping of SmartPLS 4.0 was performed to assess the hypothesized mediation model. The findings revealed that the constructs of the study are valid and reliable. Moreover, college students also demonstrated moderate levels of AI trust and attitude toward AI and a high level of AI self-efficacy. Finally, the mediation analysis suggests that AI trust is deemed to have a substantial mediating effect on the relationship between AI self-efficacy and attitude toward AI of college students.</p>2023-12-31T00:00:00+00:00Copyright (c) 2023 Brandon N. Obenza, Jasper Simon Ian E. Baguio, Karyl Maxine W. Bardago, Lemuel B. Granado, Kelvin Carl A. Loreco, Levron P. Matugas, Darcy John Talaboc, Rolemir Kirk Don D. Zayas, John Harry S. Caballo, Ria Bianca R. Caangay