• español
  • English
  • français
  • Deutsch
  • português (Brasil)
  • italiano
  • Contacto
  • Sugerencias
    • español
    • English
    • français
    • Deutsch
    • português (Brasil)
    • italiano
    • español
    • English
    • français
    • Deutsch
    • português (Brasil)
    • italiano
    JavaScript is disabled for your browser. Some features of this site may not work without it.
    Gredos. Repositorio documental de la Universidad de SalamancaUniversidad de Salamanca
    Consorcio BUCLE Recolector

    Listar

    Todo GredosComunidades y ColeccionesPor fecha de publicaciónAutoresMateriasTítulosEsta colecciónPor fecha de publicaciónAutoresMateriasTítulos

    Mi cuenta

    AccederRegistro

    Estadísticas

    Ver Estadísticas de uso
    Estadísticas totales de uso y lectura

    ENLACES Y ACCESOS

    Derechos de autorPolíticasGuías de autoarchivoFAQAdhesión USAL a la Declaración de BerlínProtocolo de depósito, modificación y retirada de documentos y datosSolicitud de depósito, modificación y retirada de documentos y datos

    COMPARTIR

    Ver ítem 
    •   Gredos Principal
    • Repositorio Científico
    • Publicaciones periódicas EUSAL
    • ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal
    • ADCAIJ - 2020
    • ADCAIJ, Vol.9, n.2
    • Ver ítem
    •   Gredos Principal
    • Repositorio Científico
    • Publicaciones periódicas EUSAL
    • ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal
    • ADCAIJ - 2020
    • ADCAIJ, Vol.9, n.2
    • Ver ítem

    Compartir

    Exportar

    RISMendeleyRefworksZotero
    • edm
    • marc
    • xoai
    • qdc
    • ore
    • ese
    • dim
    • uketd_dc
    • oai_dc
    • etdms
    • rdf
    • mods
    • mets
    • didl
    • premis

    Citas

    Título
    Digital Information Needs for Understanding Cell Divisions in the Human Body
    Autor(es)
    Jamal, Amani
    Munshi, Asmaa
    Aljojo, Nahla
    Qadah, Talal
    Zainol, Azida
    Palabras clave
    Digital information needs
    user acceptance
    technology acceptance model
    leap motion
    Digital information needs
    user acceptance
    technology acceptance model
    leap motion
    Fecha de publicación
    2020-06-28
    Editor
    Ediciones Universidad de Salamanca (España)
    Citación
    ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 9 (2020)
    Resumen
    Information needs for understanding cell divisions in the human body is important in the learning process. Although sketches, images and blocks of 3D puzzles were used for teaching and learning, unfortunately those tools are static and incapable of being manipulated. Hence, digital information is the best tool for the teaching and learning of cell divisions in the human body via software applications. A cell motion is a digital information application developed using leap motion to demonstrate cell movement in the human body. However, the factors that influence students towards adopting this application are not obvious and often ignored. The method for evaluating the factors influencing its user's acceptance is the Technology Acceptance Model (TAM) via a questionnaire distributed among medical students to gain statistically valid quantitative results through hypothesis-testing. The result indicates that digital information needs for the understanding of cell divisions in the human body are influenced by the user's Perceived Ease of Use (PEOU) and Perceived Usefulness (PU). However, the Attitude (AT) towards use did have a significant effect on PU and PEOU. Moreover, PEOU had a strong and significant influence on PU, while AT positively influenced users' behavioural intention (BI) of using digital information needs for the understanding of cell divisions in the human body.
    URI
    https://hdl.handle.net/10366/146088
    ISSN
    2255-2863
    Aparece en las colecciones
    • ADCAIJ, Vol.9, n.2 [9]
    Mostrar el registro completo del ítem
    Ficheros en el ítem
    Nombre:
    Digital_Information_Needs_for_Understand.pdf
    Tamaño:
    917.3Kb
    Formato:
    Adobe PDF
    Thumbnail
    Visualizar/Abrir
     
    Universidad de Salamanca
    AVISO LEGAL Y POLÍTICA DE PRIVACIDAD
    2024 © UNIVERSIDAD DE SALAMANCA
     
    Universidad de Salamanca
    AVISO LEGAL Y POLÍTICA DE PRIVACIDAD
    2024 © UNIVERSIDAD DE SALAMANCA