The Manchester repair: an instructional video
Sign Up to like & getrecommendations! Published in 2017 at "International Urogynecology Journal"
DOI: 10.1007/s00192-017-3284-9
Abstract: ObjectiveThe Manchester repair, developed in the UK by Donald, described in 1908, and later modified by Fothergill, is a well-studied and proven surgical treatment for uterovaginal prolapse when uterine preservation is desired. This operation is… read more here.
Keywords: repair instructional; manchester repair; instructional video; manchester ... See more keywords
“I Forgot I Wasn’t Saving the World”: the Use of Formative and Summative Assessment in Instructional Video Games for Undergraduate Biology
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Science Education and Technology"
DOI: 10.1007/s10956-017-9701-5
Abstract: This study examined the role of formative and summative assessment in instructional video games on student learning and engagement. A 2 (formative feedback: present vs absent) × 2 (summative feedback: present vs absent) factorial design with an… read more here.
Keywords: summative assessment; biology; instructional video; assessment ... See more keywords
AUTOMATED OFFICE BLOOD PRESSURE MEASUREMENT ASSITED BY INSTRUCTIONAL VIDEO IN HYPERTENSIVE PATIENTS
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Hypertension"
DOI: 10.1097/01.hjh.0000836092.17170.f6
Abstract: Objective: Automated office blood pressure (AOBP) is a better estimate of true blood pressure (BP) than clinic BP by physicians; however, measurement is complicated and requires some assistance by medical staffs especially for elderly patients.… read more here.
Keywords: aobp; home; instructional video; clinic ... See more keywords
Order-Constrained Representation Learning for Instructional Video Prediction
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3149329
Abstract: In this paper, we propose a weakly-supervised approach called Order-Constrained Representation Learning (OCRL) to predict future actions from instructional videos by observing incomplete steps of actions. Most conventional methods focus on predicting actions based on… read more here.
Keywords: semantics; task; instructional video; prediction ... See more keywords