000096124 001__ 96124 000096124 005__ 20230622083313.0 000096124 0247_ $$2doi$$a10.3390/educsci10100276 000096124 0248_ $$2sideral$$a120704 000096124 037__ $$aART-2020-120704 000096124 041__ $$aeng 000096124 100__ $$0(orcid)0000-0001-6470-526X$$aGuillén-Gámez, F.D.$$uUniversidad de Zaragoza 000096124 245__ $$aPrediction of factors that affect the knowledge and use higher education professors from spain make of ict resources to teach, evaluate and research: A study with research methods in educational technology 000096124 260__ $$c2020 000096124 5060_ $$aAccess copy available to the general public$$fUnrestricted 000096124 5203_ $$aDue to the rise of new technologies, further development of digital competence by professors is necessary. The aim of this paper is to know the pedagogical digital competence of lecturers in Spain, focused on a model called PDC-TER: ICT resources to Teach, to Evaluate and to Research; as well as to predict those variables that affect the level of this competence through different regressions (Multiple Linear Regression, MLR). A study has been carried out in the Spanish territory, with a total of 867 lecturers. For it, an ex post facto non-probabilistic study based on the survey technique has been proposed. The results show that the professors have an average level of digital pedagogical competence, while in the 2.0 tools for teaching and research dimensions, it has a medium high level of competence, as well as a medium level in relation to the use of tools 2.0 for the evaluation. Furthermore, one of the variables predictive of the level of digital competence in the three dimensions of the PDC-TER model, is the number of research and innovation projects in which they have participated. These data highlight the need to improve the digital competence of professors in order to meet the demands of the qualified professions of the future, and therefore, prepare students for it. 000096124 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/ 000096124 592__ $$a0.453$$b2020 000096124 593__ $$aComputer Science (miscellaneous)$$c2020$$dQ2 000096124 593__ $$aComputer Science Applications$$c2020$$dQ2 000096124 593__ $$aPhysical Therapy, Sports Therapy and Rehabilitation$$c2020$$dQ2 000096124 593__ $$aPublic Administration$$c2020$$dQ2 000096124 593__ $$aEducation$$c2020$$dQ2 000096124 593__ $$aDevelopmental and Educational Psychology$$c2020$$dQ2 000096124 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion 000096124 700__ $$aMayorga-Fernández, M.J. 000096124 7102_ $$14001$$2625$$aUniversidad de Zaragoza$$bDpto. Ciencias de la Educación$$cÁrea Métod.Invest.Diag.Educac. 000096124 773__ $$g10, 10 (2020), 276 [12 pp]$$tEducation Sciences$$x2227-7102 000096124 8564_ $$s416048$$uhttps://zaguan.unizar.es/record/96124/files/texto_completo.pdf$$yVersión publicada 000096124 8564_ $$s507030$$uhttps://zaguan.unizar.es/record/96124/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada 000096124 909CO $$ooai:zaguan.unizar.es:96124$$particulos$$pdriver 000096124 951__ $$a2023-06-21-15:00:55 000096124 980__ $$aARTICLE