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?:abstract
  • Adult assessments have evolved to keep pace with the changing nature of adult literacy and learning demands. As the importance of information and communication technologies (ICT) continues to grow, measures of ICT literacy skills, digital reading, and problem solving in technology-rich environments (PSTRE) are increasingly important topics for exploration through computer-based assessment (CBA). The Program for the International Assessment of Adult Competencies (PIAAC) is the first international household survey of adult skills predominantly collected using ICT skills. This international survey is conducted in over 40 countries and measures key cognitive and workplace skills including literacy, numeracy, and problem-solving in technology-rich environments (PSTRE). These skills are not only critical to individual prosperity but are also key drivers of economic growth and societal advancement (Organization for Economic Co-operation and Development. This study tackled with the association between process data and employment-related variables from three aspects. First, what employment-related variables significantly affected the success on PSTRE items, what features can be extracted from the groups formed based on significant variables, and how were the features different between groups. Second, what was the latent clustering structure of process data, and how were the clusters related to employment-related variables. The first aspect was a top-down approach, whereas the second aspect was a bottom-up approach. Lastly, whether test takers’ choice of response behaviors or problem-solving strategies were consistent across multiple items, and what employment-related characteristics were shared among different consistency groups. The most important implication of the present study was that features identified from process data shed light on how much intervention a certain group of test takers might need. There was clear evidence from process data for the steps to read emails, filter the irrelevant email, and submit requests. Given sufficient evidence for each required step, further analyses could potentially determine at which specific step an intervention was needed. It also provides the possibility of scoring complex items like PSTRE items base on process data in the future. (xsd:string)
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  • http://piaacgateway.com/s/2020_Liao_He_Jiao_Log-Files-Sequential-Patterns.pdf. (PIAAC) (xsd:string)
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  • PIAAC-Bibliography (xsd:string)
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  • 2020 (xsd:gyear)
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  • 2020 (xsd:gyear)
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  • 82 (xsd:string)
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  • english (xsd:string)
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  • Using log files to identify sequential patterns in PIAAC problem solving environments by U.S. adults' employment-related variables (xsd:string)
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  • techreport (xsd:string)
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  • 82, 2020 (xsd:string)
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  • PIAAC - Programme for the International Assessment of Adult Competencies (xsd:string)
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  • 2020 (xsd:string)
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