The purpose of this phenomenological study was to examine how integrative STEM teachers utilize the "Standards for Technological and Engineering Literacy" (STEL) to foster and assess 21st-century learning in technology and engineering classes at multiple Virginia public secondary schools. The theory guiding this study was Kolb's…

High-quality field-based experiences are at the core of teacher preparation programs; however, the COVID-19 pandemic severely limited access to such placements for pre-service teachers. This descriptive study examined how virtual tutoring in a summer-semester intermediate literacy course impacted both pre-service teachers and students served.…

Literacy skills are critical to students' academic achievement and setting them on a path to successful high school graduation and readiness for college and careers. "Passport Reading Journeys" [TM] is a supplemental literacy curriculum designed to help improve reading comprehension, vocabulary, word study, and writing skills of…

Literacy skills are critical to students' academic achievement and setting them on a path to successful high school graduation and readiness for college and careers. "Passport Reading Journeys" [TM] is a supplemental literacy curriculum designed to help improve reading comprehension, vocabulary, word study, and writing skills of…

Literacy skills are critical to students' academic achievement and setting them on a path to successful high school graduation and readiness for college and careers. "Passport Reading Journeys" [TM] is a supplemental literacy curriculum designed to help improve reading comprehension, vocabulary, word study, and writing skills of…

In this investigation, we examined how youth during learning conversations at an informal science education camp negotiated and authored identities as learners of science. Using identity theory as our analytical lens, we investigated by application of qualitative methodology the socially constructed nature of youth's identities. We focused on the…

Intelligent tutors have become increasingly accurate at detecting whether a student knows a skill, or knowledge component (KC), at a given time. However, current student models do not tell us exactly at which point a KC is learned. In this paper, we present a machine-learned model that assesses the probability that a student learned a KC at a…