65 research outputs found

    A review of virtual reality applications in an educational domain

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    The use of virtual reality (VR) applications has grown tremendously in recent years. This paper focuses on the review of existing virtual reality applications in higher educational institutions. The VR applications are still not widely used although it helps students learn and enhances their performance. Moreover, some factors that lead to the limited use of virtual reality are lack of communication, delay in technology development, weak acquisition of knowledge, etc. This paper provides a comprehensive overview of virtual reality applications in educational institutions. The reviewed articles are taken from databases such as Science Direct, Ebscohost, and Scopus. Furthermore, the reviewed eighteen articles are published between 2016 and 2021. The study analyzed the reviewed articles based on different factors such as fields, purpose, targets, methods, citations, factors, and limitations. The findings revealed that virtual reality applications could play an essential role in the education domain. The reviewed articles highlighted the significant contribution of virtual reality applications in the education domain and their impact on the students’ performance. Moreover, the study revealed the critical factors used in VR environments, such as ease of use, efficiency, interactive environments, effectiveness, and learning environments

    Learning from the pandemic: the impacts of moving student-staff partnerships online

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    While numerous studies on the impacts of COVID-19 on university learning and teaching are now emerging, there has been less critical attention focused on the impact of the shift to online engagement on student-staff partnership (SSP) practices. This article analyses the experiences and perceptions of students and staff from an Australian university as they shifted their partnership practices online during the pandemic. It provides valuable insights into the specific positive and negative impacts of online SSP for students and staff, foregrounding both groups’ perceptions of the accessibility and communication aspects of online SSP. The study’s findings lead to the recommendation of a blended approach and will be of use as SSP programs recalibrate for a post-COVID context

    DAEN: Deep Autoencoder Networks for Hyperspectral Unmixing

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    Integration of educational technology during the Covid-19 pandemic: An analysis of teacher and student receptions

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    This study analyzes the integration of an educational technology platform and relates the difficulties faced amidst the Covid-19 pandemic. Initially, we sought to identify the chief barriers educators face when considering the adoption of Information and Communication Technology (ICT). Factors influencing primary and secondary education teachers’ (n = 15) and students’ (n = 335) perspectives on ICT integration for mathematics instruction were identified and analyzed from the perspective of different contexts (school vs home) and circumstances (in-person vs remote learning). Although we acknowledge the need for immediate decisions by educational stakeholders to facilitate online learning, our findings indicate the necessity of (a) careful examination of the features of potential platforms or tools and (b) a trial of such features prior to integration within an educational system. From an instructional design perspective, educational technologists should pay special attention to the degree of gamification, especially beyond the primary school level, as it may negatively impact incentives for student interaction and engagement. Where possible, the integration of technology should be driven by pedagogical goals and not technological pressures.</p

    Integrating teachers’ TPACK levels and students’ learning motivation, technology innovativeness, and optimism in an IoT acceptance model

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    The growing use of the Internet of Things (IoT) around the world has encouraged researchers to investigate how and why the IoT is implemented in colleges and universities. Previous studies have focused on individual attitudes rather than the integration of attitudes from two different perspectives. Furthermore, other studies have investigated the use of the IoT in non-educational settings, ignoring the effect of the IoT related to the technology acceptance model (TAM) and technological pedagogical content knowledge (TPACK) model. The present work aims to address this research gap by determining the main factors that influence acceptance of the IoT, leading to increased awareness in collaborative learning, where technology forms the core tool in enhancing the use of the IoT. A questionnaire was used to collect data from teachers and students from colleges and universities in Oman and the United Arab Emirates (UAE). The data were analyzed through the structural equation modeling (SEM) method. The findings indicated that there are two levels of positive effects on the intention to use IoT. The first level is technology features, which are represented by technology optimism and technology innovation; these factors are crucial to using the IoT. The second level is learning motivation, which has a close relationship with teachers’ knowledge, and content pedagogy, which has a significant effect on the familiarity with IoT tools and applications. TAM constructs have a positive and direct impact on the intention to use IoT. The practical and managerial implications show that teachers, educators, and students can obtain benefits from these results to help IoT features to suit users’ needs

    Determinants influencing the continuous intention to use digital technologies in Higher Education

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    There is increasing evidence that the lack of access to digital information and technologies is not widely considered in the educational sectors when focusing on the perceived experience, tutor quality and students’ satisfaction. In this paper, we report on an evaluation of a project aiming to bridge the use of digital information in the educational sector by proposing an integrated model that measures teachers’ quality, uncertainty avoidance effects and students’ satisfaction concerning TAM constructs and the perceived experience of digital information in education (DIE). The model and hypotheses were validated using data collected from a survey of 553 students at a college level. The results revealed that users may perceive the importance of DIE based on several external factors that enhance their learning and teaching experiences. The personal characteristics of the user including his/her readiness to use technology are crucial in correlation with the perceived ease of use. In addition, the high quality of the tutor in some cultures may enhance the perceived usefulness of the technology. Other factors such as flow of information, uncertain avoidance and satisfaction may strongly assess the continuous intention to use the technology

    Exploring the role of biodegradable plastics

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    The Hilltop 9-21-1984

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    This document created through a generous donation of Mr. Paul Cottonhttps://dh.howard.edu/hilltop_198090/1102/thumbnail.jp

    Measuring institutions’ adoption of artificial intelligence applications in online learning environments: integrating the innovation diffusion theory with technology adoption rate

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    Artificial intelligence applications (AIA) increase innovative interaction, allowing for a more interactive environment in governmental institutions. Artificial intelligence is user-friendly and embraces an effective number of features among the different services it offers. This study aims to investigate users’ experiences with AIA for governmental purposes in the Gulf area. The conceptual model comprises the adoption properties (namely trialability, observability, compatibility, and complexity), relative advantage, ease of doing business, and technology export. The novelty of the paper lies in its conceptual model that correlates with both personal characteristics and technology-based features. The results show that the variables of diffusion theory have a positive impact on the two variables of ease of doing business and technology export. The practical implications of the current study are significant. We urge the concerned authorities in the governmental sector to understand the significance of each factor and encourage them to make plans, according to the order of significance of the factors. The managerial implications provide insights into the implementation of AIA in governmental systems to enhance the development of the services they offer and to facilitate their use by all users
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