https://www.socictopen.socict.org/files/original/9de72cbebc32db7c787568941cc17b33.pdf 6903c26e9ce6ea46a16591cab7384185 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Assessed by Machines: Development of a TAM-Based Tool to Measure AI-based Assessment Acceptance Among Students Creator An entity primarily responsible for making the resource José Carlos Sánchez-Prieto, Juan Cruz-Benito, Roberto Therón, Francisco García-Peñalvo Description An account of the resource In recent years, the use of more and more technology in education has been a trend. The shift of traditional learning procedures into more online and tech-ish approaches has contributed to a context that can favor integrating Artificial-Intelligence-based or algorithm-based assessment of learning. Even more, with the current acceleration because of the COVID-19 pandemic, more and more learning processes are becoming online and are incorporating technologies related to automatize assessment or help instructors in the process. While we are in an initial stage of that integration, it is the moment to reflect on the students' perceptions of being assessed by a non-conscious software entity like a machine learning model or any other artificial intelligence application. As a result of the paper, we present a TAM-based model and a ready-to-use instrument based on five aspects concerning understanding technology adoption like the AI-based assessment on education. These aspects are perceived usefulness, perceived ease of use, attitude towards use, behavioral intention, and actual use. The paper's outcomes can be relevant to the research community since there is a lack of this kind of proposal in the literature. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource artificial intelligence, E-Assessment, adoption Identifier An unambiguous reference to the resource within a given context 10.9781/ijimai.2020.11.009 Source A related resource from which the described resource is derived International Journal of Interactive Multimedia and Artificial Intelligence Publisher An entity responsible for making the resource available Universidad Internacional de La Rioja (UNIR) Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Technology