An efficient, reliable and valid assessment for affective states during online learning
Oi-ling Siu,
Kelvin F. H. Lui,
Yi Huang
et al.
Abstract:The current study aims to develop an efficient, reliable and valid assessment, the affective states for online learning scale (ASOLS), for measuring learners’ affective states during online learning using a sample of 173 young learners. The assessment consists of 15 items which assess five affective states, including concentration, motivation, perseverance, engagement, and self-initiative. To improve efficiency, five items (one for each affective state) are randomly selected and presented every 30 min during o… Show more
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