Improving Feedbacks for ITS Assessment of Concept Maps

Assessment in intelligent tutoring system (ITS) on concept maps (CM) matches an expert CM to a learner CM. Feedbacks are provided to the learner as semantic comments andvisual corrections. In this paper, quality of feedbacks is improved by using an ontological semantic for matching, formalized as a correlation feedback. Matchings are selected based on an overall assignment solution providing a suboptimal set of correlation feedbacks to the learner

Research priorities in land use and land-cover change for the Earth System and Integrated Assessment Modelling

This special issue has highlighted recent and innovative methods and results that integrate observations and modelling analyses of regional to global aspect of biophysical and biogeochemical interactions of land-cover change with the climate system. Both the Earth System and the Integrated Assessment modeling communities recognize the importance of an accurate representation of land use and land-cover change to understand and quantify the interactions and feedbacks with the climate and socio-economic systems, respectively. To date, cooperation between these communities has been limited. Based on common interests, this work discusses research priorities in representing land use and land-cover change for improved collaboration across modelling, observing and measurement communities. Major research topics in land use and land-cover change are those that help us better understand (1) the interaction of land use and land cover with the climate system (e.g. carbon cycle feedbacks), (2) the provision of goods and ecosystem services by terrestrial (natural and anthropogenic) land-cover types (e.g. food production), (3) land use and management decisions and (4) opportunities and limitations for managing climate change (for both mitigation and adaptation strategies

The Use of a Mock Environment Summit to Support Learning about Global Climate Change

NOTE: This is a large file, 26.6 mb in size! This article advocates the use of a Learner-Centered Environment (LCE) to teach Earth System Science. In this instance, LCE takes the form of a mock environmental summit in which students play the roles of country representatives and participate in activities such as writings, class discussions, presentations and negotiations. Rubrics developed for each activity are used both to assess student learning and to communicate feedback to students about their work. The study suggests that the adoption of an LCE enhanced student learning of content and critical skills. The frequent student presentations were found to play a major role in student learning. The rubrics served as scaffolding for knowledge construction, helped students to self-assess and maintain their quality of work, and allowed instructors to provide quick and efficient feedback. The development of basic learner-centered tools and teaching practices will help Earth System Science instructors provide learning environments most suitable for their discipline. Educational levels: Graduate or professional

Freshwater ecosystem services in mining regions : modelling options for policy development support

The ecosystem services (ES) approach offers an integrated perspective of social-ecological systems, suitable for holistic assessments of mining impacts. Yet for ES models to be policy-relevant, methodological consensus in mining contexts is needed. We review articles assessing ES in mining areas focusing on freshwater components and policy support potential. Twenty-six articles were analysed concerning (i) methodological complexity (data types, number of parameters, processes and ecosystem-human integration level) and (ii) potential applicability for policy development (communication of uncertainties, scenario simulation, stakeholder participation and management recommendations). Articles illustrate mining impacts on ES through valuation exercises mostly. However, the lack of ground-and surface-water measurements, as well as insufficient representation of the connectivity among soil, water and humans, leave room for improvements. Inclusion of mining-specific environmental stressors models, increasing resolution of topographies, determination of baseline ES patterns and inclusion of multi-stakeholder perspectives are advantageous for policy support. We argue that achieving more holistic assessments exhorts practitioners to aim for high social-ecological connectivity using mechanistic models where possible and using inductive methods only where necessary. Due to data constraints, cause-effect networks might be the most feasible and best solution. Thus, a policy-oriented framework is proposed, in which data science is directed to environmental modelling for analysis of mining impacts on water ES

Does functional soil microbial diversity contribute to explain within-site plant beta-diversity in an alpine grassland and a <i>dehesa</i> meadow in Spain?

Questions: Once that the effects of hydrological and chemical soil properties have been accounted for, does soil microbial diversity contribute to explain change in plant community structure (i.e. within-site beta-diversity)? If so, at which spatial scale does microbial diversity operate? Location: La Mina in Moscosa Farm, Salamanca, western Spain (dehesa community) and Laguna Larga in the Urbión Peaks, Soria, central-northern Spain (alpine grassland). Methods: The abundance of vascular plant species, soil gram-negative microbial functional types and soil chemical properties (pH, available phosphorus, and extractable cations) were sampled at both sites, for which hydrological models were available. Redundancy analysis (RDA) was used to partition variation in plant community structure into hydrological, chemical and microbial components. Spatial filters, arranged in scalograms, were used to test for the spatial scales at which plant community structure change. Results: In the case of the dehesa the diversity of soil gram-negative microbes, weakly driven by soil pH, contributed to a small extent (adj-R2 = 2%) and at a relative medium spatial scale to explain change in plant community structure. The abundance of a few dehesa species, both annual (Trifolium dubium, Vulpia bromoides) and perennial (Poa bulbosa, Festuca ampla), was associated with either increasing or decreasing soil microbial diversity. In the alpine meadow the contribution was negligible. Conclusions: Microbial diversity can drive community structure, though in the hierarchy of environmental factors structuring communities it appears to rank lower than other soil factors. Still, microbial diversity appears to promote or restrain individual plant species. This paper aims to encourage future studies to use more comprehensive and insightful techniques to assess microbial diversity and to combine this with statistical approaches such as the one used here

GIS as new tools and approach in state planning and monitoring: the experience of Negeri Sembilan, Malaysia

Malaysian planning methodology has changed over the years as emphasis has shifted from producing plan, which described a state of affairs expected of some future date, to one which acknowledged the continuous and cyclical nature of planning. Thus planning should be based on the identification of needs and goals, the formulation and evaluation of alternative courses of action and monitoring of adopted programmes. Using examples from current Geographical Information Systems (GIS) implementation projects, this paper will discuss GIS development and application for planning and monitoring of development in one of the Malaysian states, Negeri Sembilan. The development include a well-integrated and comprehensive database which is part of the important elements that could determine the ultimate success of GIS application in plan making. A distinctive feature of the Negeri Sembilan GIS (GIS9) that was developed for this purpose is that it is capable of operating on two distinct levels of planning – the state and district level. It is used to assist decision-making, taking into account among other things, the current scenarios of the proposed development, physical constraint and future impacts. The monitoring system that has been developed for both the state and district levels make it possible to evaluate the success of plan implementation. While the adopted data sharing framework is seen as a strong basis for extension of GIS development as well as integration and coordination in all state and local agencies involved in ensuring the success of the implementation of state development plan. The implementation of GIS9 has also contributed to raising recognition of the importance of vertical integration of the developed and maintained datasets at regional and local levels. This paper will discuss the approach and overall strategies employed in the preparation of GIS9 database and development plans monitoring system for the Negeri Sembilan State

Multiple perspectives of resilience: A holistic approach to resilience assessment using cognitive maps in practitioner engagement

Resilience has become a regulatory concept influencing investment decisions in the water and wastewater sector. However, current assessments predominantly focus on technical resilience and on engineering solutions. Here we propose an alternative, more holistic approach that captures multiple perspectives of resilience by eliciting and comparing cognitive maps of diverse agents both from within as well as external to a wastewater utility. We use Fuzzy Cognitive Mapping as a practical tool to elicit subjective views on resilience mechanisms and illustrate the methodology in co-production with professionals from the wastewater sector in the Belfast area (Northern Ireland). We find that the proposed participatory process facilitates a more reflective , inclusive and integrated assessment than current approaches. Screening for risks and vulnerabilities using this new approach can foster an integrated system perspective by (i) systematically identifying connections between (sub)systems which are normally assessed separately, (ii) detecting feedbacks between system components which may reveal unintended consequences of resilience interventions and by (iii) obtaining a wider portfolio of potential interventions to increase overall resilience. We conclude that the suggested approach may be useful for strategic planning purposes within a utility and for improving cross-departmental communication among both internal and external agents. © 2020 The Author

Analysing Regional Sustainability Through a Systemic Approach: The Lombardy Case Study

The intrinsic complexity of the sustainability concept challenges research towards more sophisticated ways to model and assess the dimensions underlying it. However, currently adopted modelling techniques and indicators frameworks are not able to give an integrated assessment through the different components of sustainability, providing incomplete visuals of the reality that they aim to catch. This paper tries to assess how the INSURE methodology can provide a contribution in the analysis of sustainability through indicator frameworks, describing its application to the Lombardy region (Italy). Developed on the course of a 6th European Framework Program – financed project to measure sustainability in the European regions, the methodology provides two distinct sustainability representations, based on a quantitative “top-down” System Dynamics model and on a qualitative “bottom-up” System Thinking approach. The models are then linked to a hierarchical indicator framework setting policy priorities. The overall objective is thus to create a set of regional indicators, adapting the models of regional sustainability to different policy agendas. The purpose of the paper is twofold: defining a new approach to sustainability appraisal, and assessing how the Region is holistically behaving towards sustainable development. Starting from a basis analysis of the main shortcomings highlighted by the use of most adopted methodologies, the paper will verify the contribution given by the INSURE methodology to research in the fields of modelling and indicators approaches, providing insights over methodological adjustments and the results obtained from the application to Lombardy. The conclusions will show how the methodology has tried to overcome identified constraints in current models, like the strong dependence on existing datasets of the obtained representations, the under-coverage of “immaterial factors” role and the scarce integration between sustainability dimensions.ustainable Development, Regional Economics, Econometric and Input Output Models, Development Planning and Policy, Regional Analyses