4 Works

Development and testing of an ARSD algorithm: Read, Understand, Learn, & Excel (Kucheria et al., 2019)

Priya Kucheria, McKay Moore Sohlberg, Jason Prideaux & Stephen Fickas
Purpose: An important predictor of postsecondary academic success is an individual’s reading comprehension skills. Postsecondary readers apply a wide range of behavioral strategies to process text for learning purposes. Currently, no tools exist to detect a reader’s use of strategies. The primary aim of this study was to develop Read, Understand, Learn, & Excel, an automated tool designed to detect reading strategy use and explore its accuracy in detecting strategies when students read digital, expository...

Enhancing anomia assessment (Fergadiotis et al., 2019)

Gerasimos Fergadiotis, William D. Hula, Alexander M. Swiderski, Chia-Ming Lei & Stacey Kellough
Purpose: In this study, we investigated the agreement between the 175-item Philadelphia Naming Test (PNT; Roach, Schwartz, Martin, Grewal, & Brecher, 1996) and a 30-item computer adaptive PNT (PNT-CAT; Fergadiotis, Kellough, & Hula, 2015; Hula, Kellough, & Fergadiotis, 2015) created using item response theory (IRT) methods.Method: The full PNT and the PNT-CAT were administered to 47 participants with aphasia in counterbalanced order. Latent trait-naming ability estimates for the 2 PNT versions were analyzed in a...

Enhancing anomia assessment (Fergadiotis et al., 2019)

Gerasimos Fergadiotis, William D. Hula, Alexander M. Swiderski, Chia-Ming Lei & Stacey Kellough
Purpose: In this study, we investigated the agreement between the 175-item Philadelphia Naming Test (PNT; Roach, Schwartz, Martin, Grewal, & Brecher, 1996) and a 30-item computer adaptive PNT (PNT-CAT; Fergadiotis, Kellough, & Hula, 2015; Hula, Kellough, & Fergadiotis, 2015) created using item response theory (IRT) methods.Method: The full PNT and the PNT-CAT were administered to 47 participants with aphasia in counterbalanced order. Latent trait-naming ability estimates for the 2 PNT versions were analyzed in a...

Development and testing of an ARSD algorithm: Read, Understand, Learn, & Excel (Kucheria et al., 2019)

Priya Kucheria, McKay Moore Sohlberg, Jason Prideaux & Stephen Fickas
Purpose: An important predictor of postsecondary academic success is an individual’s reading comprehension skills. Postsecondary readers apply a wide range of behavioral strategies to process text for learning purposes. Currently, no tools exist to detect a reader’s use of strategies. The primary aim of this study was to develop Read, Understand, Learn, & Excel, an automated tool designed to detect reading strategy use and explore its accuracy in detecting strategies when students read digital, expository...

Registration Year

  • 2019
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Resource Types

  • Other
    4