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PurposeThe purpose of this study was to determine the impact of perceived usability and students' personality traits on their learning gain in an e-learning context at the university level.Design/methodology/approachThe factors examined are related to individual characteristics such as students' personality traits, as well as to perceptual characteristics such as the perceived usability of the platform used. A total of 110 undergraduate students participated in the study. A one-group pretest-posttest research design was adopted. Big 5 personality test, System Usability Scale (SUS) and a general knowledge assessment questionnaire were used.FindingsPerceived usability of Zoom platform is statistically significantly correlated with students' learning gain (r = 0.294, p = 0.002, s). Concerning learning effectiveness in the current e-learning scenario, students' final performance was found to be statistically significantly higher than the initial (p = 0.000, s). A hierarchical regression analysis (R2 = 0.146) unveiled that Zoom's perceived usability and personality traits are significant predictors for learning gain (p = 0.011, s).Research limitations/implicationsThe findings of this research provide important implications regarding the design of lessons in an e-learning context.Social implicationsA substantial fraction of the educational process is going online, especially in higher education. Thus, a thorough understanding of the factors which influence learning gain in an e-learning context is of significance.Originality/valueThe main contribution of this study is that it quantifies the variance of the learning gain explained by two factors, namely, SUS and personality.

Purpose The purpose of this paper is to investigate the impact of personality traits on the perceived usability evaluation of e-learning platforms. In specific, perceived usability levels of the educational platforms and tools used in primary and secondary education in Greece are demonstrated. The impact which personality traits and other individual-related factors have on the perceived usability were also examined. Design/methodology/approach In total, 2,239 Greek primary and secondary education teachers participated in the study through an online survey. The system usability scale (SUS) and Big 5 personality test questionnaires were adopted, as well as a demographics questionnaire and nine platforms were examined: e-me, eclass, Google Classroom, Microsoft Teams, Cisco Webex, Edmodo, Padlet, Skype and Zoom. Findings Most platforms were rated as satisfactory in terms of perceived usability as measured by SUS. SUS scores were not found to be significantly related with participants’ age, gender, private/public school, working relationship. Furthermore, openness to new experience and extraversion demonstrated the strongest positive correlation with perceived usability evaluation. Research limitations/implications The current study used a sample of Greek teachers as participants, so the generalizability of results without considering cultural or organizational issues is of questionable validity. The Big 5 personality test is widely adopted; however, it seems that it does not capture comprehensively all possible dimensions of personality. Practical implications Acknowledging the correlations between personality traits and perceived usability for each platform, teachers may now choose the most user-friendly one depending on the personality traits. Designers can adapt their systems to meet users’ needs accordingly. Moreover, the reported results provide a frame of reference for the respective organizations and companies to compare the quality of user experience of their products and services. Thus, development costs of an e-learning platform/tool can be reduced accordingly. Social implications Text. Originality/value Perceived usability of a technological system affects the way users interact with it and consequently the whole learning experience. Thus, factors which may affect perceived usability and, in turn, the learning outcomes are of paramount importance and should be exhaustively examined. Giving that personality affects or is related to, other parameters related with technology (technology adoption, perceived and actual use, acceptance, interaction, perceived ease of use), this study addresses a significant research gap and sheds light to the before-mentioned issues.