7 papers
Measuring Curriculum-Labor Market Alignment at the Scale of a Program Portfolio
Sherzod Turaev, Saja Aldabet, Mary John +4
A college offering several overlapping computing degrees implicitly assumes that its programs are differentiated in line with how the labor market segments computing work and that,…
Measuring Curriculum Alignment across Topical Coverage, Competency, and Cognitive Depth: A Longitudinal Framework Applied to CS2013 and CS2023
Sherzod Turaev, Mary John, Saja Aldabet +3
Undergraduate computer science is governed by international curricular guidelines revised about once a decade, yet programs lack a reliable, reproducible way to measure how complet…
The Nonverbal Syntax Framework: An Evidence-Based Tiered System for Inferring Learner States from Observable Behavioral Cues
Sherzod Turaev, Mary John, Jaloliddin Rustamov +4
Understanding learners' cognitive and affective states underpins adaptive educational systems and effective teaching. Although research links nonverbal cues to internal states, no…
Abnormal Head Movements in Neurological Conditions: A Knowledge-Based Dataset with Application to Cervical Dystonia
Saja Al-Dabet, Sherzod Turaev, Nazar Zaki
Abnormal head movements (AHMs) manifest across a broad spectrum of neurological disorders; however, the absence of a multi-condition resource integrating kinematic measurements, cl…
Ocular-Induced Abnormal Head Posture: Diagnosis and Missing Data Imputation
Saja Al-Dabet, Sherzod Turaev, Nazar Zaki +2
Ocular-induced abnormal head posture (AHP) is a compensatory mechanism that arises from ocular misalignment conditions, such as strabismus, enabling patients to reduce diplopia and…
PoseGaze-AHP: A Knowledge-Based 3D Dataset for AI-Driven Ocular and Postural Diagnosis
Saja Al-Dabet, Sherzod Turaev, Nazar Zaki +2
Diagnosing ocular-induced abnormal head posture (AHP) requires a comprehensive analysis of both head pose and ocular movements. However, existing datasets focus on these aspects se…