Revealing knowledge structure in lesson texts using a computational text pattern-matching approach

• In Event: FR - Technology Integration

Short Description

The purpose of this investigation is to further confirm and extend the utility of the computational approach for measuring knowledge structures (KS) inherent in lesson text artifacts beyond English into other language texts, in this case fifty narrative and fifty expository texts, with translated versions in five languages, the English base language, and Arabic, Chinese, Dutch, and Korean. This approach could provide researchers with another measurement tool applicable to any languages to better understand the mediating influence of lesson text artifacts on learning processes and outcomes.

Authors

• Kyung Kim, Pennsylvania State University

• Roy B Clariana, Pennsylvania State University

• Mona A Alqahtani, Pennsylvania State University

• Hengtao Tang, Penn State