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- W3160793813 abstract "At the onset of 2020, Covid-19 pandemic began and disrupted teaching and learning activities with substantial implications for resources and operations. Against this backdrop, the configural causal effects of task-technology fit, technology-induced engagement and motivation, gender, and residential location on learning performance are examined. The proposed association was tested with a dyad sample of faculty members and students (n = 16) using fuzzy sets (fsQCA) analysis. Results show that (i) task-technology fit, and technology-induced motivation emerge as necessary conditions for high learning performance; (ii) task-technology fit, technology-induced engagement and motivation are sufficient conditions for high learning performance among female students, (iii) task-technology fit, technology-induced engagement and motivation are sufficient conditions for high learning performance among students living in urban areas and (iv) task-technology fit is a sufficient condition for high learning performance among female students living in rural areas irrespective of technology-induced engagement and motivation. Implications for theory and policy prescriptions are offered for practitioners." @default.
- W3160793813 created "2021-05-24" @default.
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- W3160793813 date "2021-05-19" @default.
- W3160793813 modified "2023-10-18" @default.
- W3160793813 title "The configurational effects of task-technology fit, technology-induced engagement and motivation on learning performance during Covid-19 pandemic: An fsQCA approach" @default.
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- W3160793813 doi "https://doi.org/10.1007/s10639-021-10580-6" @default.
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