This study explores using transfer learning in machine learning for natural language processing (NLP) to create generic automated essay scoring (AES) models, providing instant online scoring for statewide writing assessments in K-12 education. The goal is to develop an instant online scorer that is generalizable to any prompt, addressing the…

Heightened concerns about the health of the teaching profession highlight the importance of studying the early teacher pipeline. This exploratory, descriptive article examines preservice teachers' expressed motivation for pursuing a teaching career. Using data from a large teacher education program in Texas, we use a natural language processing…

"Am I a girl?" This question from a long-ago English class (quoted by Kennedy, 1983) illustrates what was once considered suitable practice for language learners. Over the decades, ideas for the content of a language lesson have reflected developing theories of second language learning and teaching. This essay draws on materials,…

The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…

In this study we argue that narrative storytelling and expository discussion, as 2 distinct discourse genres, differ both in linguistic expression and in their underlying principles of organization--schema-based in narratives and category-based in exposition. Innovative analyses applied to 160 personal-experience narratives and expository essays…