Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText. Kick-your-searchterm to multiple Engines kick-your-query now !>

A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

10.3390/s20216337 http://scihub22266oqcxt.onion/10.3390/s20216337 33172039!7664242!33172039     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Sensors+(Basel) 2020 ; 20 (21): ä Nephropedia Template TP {{tp|p=33172039|t=2020. A Multimodal Real-Time Feedback Platform Based on Spoken Interactions for Remote Active Learning Support |pdf=|usr=}}{{33172039}} gab.com Text A Multimodal Real-Time Feedback Platform Based on Spoken Interactions for Remote Active Learning Support JO: Sensors (Basel) http://www.kidney.de/pget.php?&tw=1&pmid=33172039 #FOAvip While technology has helped improve process efficiency in several domains, it still has an outstanding debt to education. In this article, we introduce NAIRA, a Multimodal Learning Analytics platform that provides Real-Time Feedback to foster collaborative learning activities' efficiency. NAIRA provides real-time visualizations for students' verbal interactions when working in groups, allowing teachers to perform precise interventions to ensure learning activities' correct execution. We present a case study with 24 undergraduate subjects performing a remote collaborative learning activity based on the Jigsaw learning technique within the COVID-19 pandemic context. The main goals of the study are (1) to qualitatively describe how the teacher used NAIRA's visualizations to perform interventions and (2) to identify quantitative differences in the number and time between students' spoken interactions among two different stages of the activity, one of them supported by NAIRA's visualizations. The case study showed that NAIRA allowed the teacher to monitor and facilitate the learning activity's supervised stage execution, even in a remote learning context, with students working in separate virtual classrooms with their video cameras off. The quantitative comparison of spoken interactions suggests the existence of differences in the distribution between the monitored and unmonitored stages of the activity, with a more homogeneous speaking time distribution in the NAIRA supported stage. Twit Text FOAVip A Multimodal Real-Time Feedback Platform Based on Spoken Interactions for Remote Active Learning Support ????Sensors (Basel) http://www.kidney.de/pget.php?&tw=1&pmid=33172039 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33172039 #FOAvip English Wikipedia <ref>{{Cite pmid|33172039}}</ref> A Multimodal Real-Time Feedback Platform Based on Spoken Interactions for Remote Active Learning Support #MMPMID33172039 Cornide-Reyes H; Riquelme F; Monsalves D; Noel R; Cechinel C; Villarroel R; Ponce F; Munoz R Sensors (Basel) 2020[Nov]; 20 (21): ä PMID33172039show ga While technology has helped improve process efficiency in several domains, it still has an outstanding debt to education. In this article, we introduce NAIRA, a Multimodal Learning Analytics platform that provides Real-Time Feedback to foster collaborative learning activities' efficiency. NAIRA provides real-time visualizations for students' verbal interactions when working in groups, allowing teachers to perform precise interventions to ensure learning activities' correct execution. We present a case study with 24 undergraduate subjects performing a remote collaborative learning activity based on the Jigsaw learning technique within the COVID-19 pandemic context. The main goals of the study are (1) to qualitatively describe how the teacher used NAIRA's visualizations to perform interventions and (2) to identify quantitative differences in the number and time between students' spoken interactions among two different stages of the activity, one of them supported by NAIRA's visualizations. The case study showed that NAIRA allowed the teacher to monitor and facilitate the learning activity's supervised stage execution, even in a remote learning context, with students working in separate virtual classrooms with their video cameras off. The quantitative comparison of spoken interactions suggests the existence of differences in the distribution between the monitored and unmonitored stages of the activity, with a more homogeneous speaking time distribution in the NAIRA supported stage. |Betacoronavirus[MESH] |COVID-19[MESH] |Coronavirus Infections/pathology/virology[MESH] |Education, Distance/*methods[MESH] |Feedback[MESH] |Humans[MESH] |Learning[MESH] |Mobile Applications[MESH] |Pandemics[MESH] |Pneumonia, Viral/pathology/virology[MESH] |SARS-CoV-2[MESH] |Social Networking[MESH]A Multimodal Real-Time Feedback Platform Based on Spoken Interactions (epmc).pdf DeepDyve Pubget Overpricing