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Qin, Fen; Li, Kai; Yan, Jianyuan
British journal of educational technology, September 2020, 2020-09-00, 20200901, Letnik: 51, Številka: 5Journal Article
Artificial Intelligence (AI) has penetrated the field of education. Trust has long been regarded as a driver for the acceptance of technology. Netnography and interviews were used to investigate trust in AI‐based educational systems from the perspective of users. We identified the factors influencing trust in AI‐based educational systems and categorized them as being related to technology, context and individual. Technology‐related factors encompass functionality, helpfulness, interpretability, dependability and interaction interface. Context‐related factors encompass benevolence of educational organizations, data management, teachers’ competencies, official norms and knowledge characteristics. Individual‐related factors encompass perception of the nature of learning, propensity to interact with teachers, perception of AI and autonomy orientation. The results from this paper will contribute to the literature on trust in technology and AI ethics in education.
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Dostop do baze podatkov JCR je dovoljen samo uporabnikom iz Slovenije. Vaš trenutni IP-naslov ni na seznamu dovoljenih za dostop, zato je potrebna avtentikacija z ustreznim računom AAI.
Leto | Faktor vpliva | Izdaja | Kategorija | Razvrstitev | ||||
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JCR | SNIP | JCR | SNIP | JCR | SNIP | JCR | SNIP |
Baze podatkov, v katerih je revija indeksirana
Ime baze podatkov | Področje | Leto |
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Povezave do osebnih bibliografij avtorjev | Povezave do podatkov o raziskovalcih v sistemu SICRIS |
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Vir: Osebne bibliografije
in: SICRIS
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