scholarly journals Goals and principles for programmatic river restoration monitoring and evaluation: collaborative learning across multiple projects

2017 ◽  
Vol 5 (1) ◽  
pp. e1257 ◽  
Author(s):  
Christine Weber ◽  
Ulrika Åberg ◽  
Anthonie D. Buijse ◽  
Francine M.R. Hughes ◽  
Brendan G. McKie ◽  
...  
Keyword(s):  
Collaborative Learning ◽  
River Restoration ◽  
Monitoring And Evaluation ◽  
Restoration Monitoring

Progress, problems and prospects in Australian river repair

2013 ◽  
Vol 64 (7) ◽  
pp. 642 ◽  
Author(s):  
Kirstie Fryirs ◽  
Bruce Chessman ◽  
Ian Rutherfurd
Keyword(s):  
Adaptive Management ◽  
River Restoration ◽  
Management Practice ◽  
Monitoring And Evaluation ◽  
River Management ◽  
Integrative Approach ◽  
Stream Management ◽  
Diverse Discipline ◽  
Base Management ◽  
Economic Perspectives

Effective river restoration requires an integrative approach among researchers, managers and stakeholders, grounded in sound science. Using Australia as a case study, we examined contemporary responses to the following three global challenges for river management: first, to base management practice on ‘best available science’ (BAS); second, to integrate diverse, discipline-bound knowledge within cross-disciplinary and trans-disciplinary approaches; and third, to achieve adaptive management based on monitoring and evaluation. Analysis of 562 papers from the six Australian national stream-management conferences held since 1996 provided insight into the rapidly growing area of management, and the degree to which these three challenges are being met. The review showed that discipline-bound abiotic or biotic science was the focus of 46% of papers. Cross-disciplinary science, defined as the integration of biophysical sciences, was presented in 36% of papers, and trans-disciplinary science, defined as the merging of biophysical science with social and economic perspectives, in 17%. Monitoring and evaluation results were presented in only 12% of papers, whereas applications of adaptive management were reported in a mere 2%. Although river management has been transformed in recent decades, much remains to be done to create a holistic foundation for river restoration that links biophysical science to social science and economics.

Design on Monitoring and Evaluation Methods for CSCL System

2013 ◽  
Vol 336-338 ◽  
pp. 2213-2216
Author(s):  
Wei Yan
Keyword(s):  
Collaborative Learning ◽  
Learning Experience ◽  
Computer Mediated Communication ◽  
Monitoring And Evaluation ◽  
Evaluation Methods ◽  
Learning Processes ◽  
The Other ◽  
Computer Supported Collaborative Learning ◽  
Mediated Communication ◽  
Computer Mediated

The problem of capitalizing on experience of how to track and analyze the learning processes is of particular interest in Computer Supported Collaborative Learning (CSCL) environments, where learning is usually based on the interactions occurring among peers. This paper provides some examples of DPs addressing tracking problems in CSCL environments. Our DPs have been elaborated with a twofold aim to contribute to the field by proposing possible solutions to tracking problems frequently faced in CSCL; on the other hand, by using DPs as a tool for sharing experience, we hope to inform the development of functions that could be integrated in Computer Mediated Communication (CMC) systems in order to support the monitoring, evaluation and assessment of the learning experience and therefore augment its effectiveness.

Providing effective feedback, monitoring and evaluation to on-line collaborative learning discussions

2011 ◽  
Vol 27 (4) ◽  
pp. 1372-1381 ◽  
Author(s):  
Santi Caballé ◽  
Thanasis Daradoumis ◽  
Fatos Xhafa ◽  
Angel Juan
Keyword(s):  
Collaborative Learning ◽  
Monitoring And Evaluation ◽  
Effective Feedback ◽  
Feedback Monitoring ◽  
On Line

scholarly journals The need for complementary hydraulic analysis in post-restoration monitoring of river restoration projects

2011 ◽  
Vol 8 (2) ◽  
pp. 2609-2626 ◽  
Author(s):  
T. A. Endreny ◽  
M. M. Soulman
Keyword(s):  
River Restoration ◽  
Fish Habitat ◽  
Monitoring Data ◽  
Test Channel ◽  
Natural Channel Design ◽  
Channel Form ◽  
Empirical Relations ◽  
Flow Splitting ◽  
River Training ◽  
Restoration Monitoring

Abstract. River restoration design methods are incrementally improved by studying and learning from monitoring data in previous projects. In this paper, we report post-restoration monitoring data for a Natural Channel Design (NCD) restoration project along 1600 m (10 channel wavelengths) of the Batavia Kill in the Catskill Mountains, NY, implemented in 2001 and 2002. The NCD project used a reference-reach to determine channel form, empirical relations between the project site and reference site bankfull dimensions to size channel geometry, and hydraulic and sediment computations to test channel capacity and sediment stability. In addition 12 cross-vanes and 48 j-hook vanes used in NCD for river training were installed to protect against bank erosion and maintain scour pools for fish habitat. Changes in pool depths were monitored with surveys from 2002–2004, and then after the channel-altering April 2005 flood. Aggradation in pools was attributed to cross-vane arms not concentrating flow in the center of the channel, which subsequently caused flow splitting and 4 partial point bar avulsions during the 2005 flood. Hydrodynamic simulation at the 18 m3s−1 bankfull flow suggested avulsions occurred where vanes allowed erosive bank scour to initiate the avulsion cut, and once the flow was split, the diminished in-channel flow caused more aggradation in the pools. In this project post-restoration monitoring had detected aggradation and considered it a problem. The lesson for the larger river restoration community is monitoring protocol should include complementary hydraulic and sediment analysis to comprehend potential consequences and develop preventative maintenance. River restoration and monitoring teams should be trained in robust hydraulic and sediment analytical methods that help them extend project restoration goals.

scholarly journals Hydraulic analysis of river training cross-vanes as part of post-restoration monitoring

2011 ◽  
Vol 15 (7) ◽  
pp. 2119-2126 ◽  
Author(s):  
T. A. Endreny ◽  
M. M. Soulman
Keyword(s):  
River Restoration ◽  
Bank Erosion ◽  
Monitoring Data ◽  
Catskill Mountains ◽  
Hydraulic Analysis ◽  
Restoration Project ◽  
Return Interval ◽  
River Training ◽  
Restoration Monitoring ◽  
Meander Bends

Abstract. River restoration design methods are incrementally improved by studying and learning from monitoring data in previous projects. In this paper we report post-restoration monitoring data and simulation analysis for a Natural Channel Design (NCD) restoration project along 1600 m of the Batavia Kill (14 km2 watershed) in the Catskill Mountains, NY. The restoration project was completed in 2002 with goals to reduce bank erosion and determine the efficacy of NCD approaches for restoring headwater streams in the Catskill Mountains, NY. The NCD approach used a reference-reach to determine channel form, empirical relations between the project site and reference site bankfull dimensions to size channel geometry, and hydraulic and sediment computations based on a bankfull (1.3 yr return interval) discharge to test channel capacity and sediment stability. The NCD project included 12 cross-vanes and 48 j-hook vanes as river training structures along 19 meander bends to protect against bank erosion and maintain scour pools for fish habitat. Monitoring data collected from 2002 to 2004 were used to identify aggradation of pools in meander bends and below some structures. Aggradation in pools was attributed to the meandering riffle-pool channel trending toward step-pool morphology and cross-vane arms not concentrating flow in the center of the channel. The aggradation subsequently caused flow splitting and 4 partial point bar avulsions during a spring 2005 flood with a 25-yr return interval. Processing the pre-flood monitoring data with hydraulic analysis software provided clues the reach was unstable and preventative maintenance was needed. River restoration and monitoring teams should be trained in robust hydraulic analytical methods that help them extend project restoration goals and structure stability.

scholarly journals Definición de mecanismos para evaluar, monitorear y mejorar el proceso de aprendizaje colaborativo

2021 ◽  
Vol 3 (3) ◽  
pp. 18-28
Author(s):  
Vanessa Agredo Delgado ◽  
Cesar A. Collazos ◽  
Patricia Paderewski
Keyword(s):  
Collaborative Learning ◽  
Learning Process ◽  
Software Tool ◽  
Monitoring And Evaluation ◽  
Software Process Improvement ◽  
Research Area ◽  
Computer Supported Collaborative Learning ◽  
Definition Of ◽  
Collaborative Activities ◽  
Aprendizaje Colaborativo

El aprendizaje colaborativo soportado por computador - CSCL (Computer Supported Collaborative Learning) es un área de investigación que se preocupa por la realización de actividades colaborativas que generen aprendizaje en sus participantes, investigación que ha obtenido el análisis de los beneficios que trae a nivel de aprendizaje individual y las habilidades sociales logradas con su utilización. Para trabajar colaborativamente es necesario aprender a hacerlo, no todo es cuestión de poner en un mismo lugar a un conjunto de personas, brindarles una herramienta software e indicarles que colaboren en la ejecución de una actividad. Es por esto que surge la importancia de crear mecanismos para monitorear y evaluar el proceso de aprendizaje colaborativo en búsqueda de su mejora. Objetivo: describir la creación de mecanismos de monitoreo y evaluación en pro de la mejora del proceso de aprendizaje colaborativo. Metodología: se basa en el seguimiento de las fases generales de la mejora de procesos software que permitió analizar desde el diagnóstico del actual proceso de aprendizaje colaborativo ejecutado hasta la aplicación de mejoras en diferentes estudios de caso. Resultados: se definieron diferentes mecanismos de monitoreo y evaluación del proceso de aprendizaje colaborativo los cuales permitieron la mejora del mismo. Conclusión: la definición de los diferentes mecanismos de monitoreo y evaluación del proceso de aprendizaje colaborativo son útiles y de ayuda para realizar un proceso de mejora en este contexto aunque su aplicación es medianamente sencilla. Computer Supported Collaborative Learning – CSCL is a research area that is concerned about the realization of collaborative activities that generate learning in its participants, research has obtained the analysis of the benefits that brings at the level of individual learning and social skills achieved with its use. For working collaboratively is necessary learn how to do it, not everything is a matter of putting in the same place a set of people, provide them with a software tool and tell them that collaborate in the execution of an activity. That is why the importance of creating mechanisms to monitor and evaluate the collaborative learning process seeking improvement. Objective: describe the creation of mechanisms for monitoring and evaluation in support of collaborative learning process improving. Methodology: based on following up the software process improvement general phases that allowed analysis from diagnosis of the current collaborative learning process executed until implementation of improvements in different case studies. Results: it was defined different mechanisms of monitoring and evaluation of collaborative learning process which allowed its improvement. Conclusion: the definition of the different collaborative learning process mechanisms of monitoring and evaluation are useful and helpful for doing the process improving in this context although its application is moderately simple.  

Collaborative Learning in the Speech-Language Pathology and Audiology Classroom

2008 ◽  
Vol 11 (1) ◽  
pp. 9-11 ◽  
Author(s):  
Carolyn S. Potts ◽  
Sarah M. Ginsberg
Keyword(s):  
Collaborative Learning ◽  
Student Retention ◽  
Student Learning ◽  
Student Learning Outcomes ◽  
Retention Rates ◽  
Speech Language Pathology ◽  
Traditional Lecture ◽  
Language Pathology ◽  
Improve Student Learning

Abstract In recent years, colleges and universities across the country have been called upon to increase the quality of education provided and to improve student retention rates. In response to this challenge, many faculty are exploring alternatives to the traditional “lecture-centered” approach of higher education in an attempt to increase student learning and satisfaction. Collaborative learning is one method of teaching, which has been demonstrated to improve student learning outcomes.

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