Monitorización y Evaluación Participativa en Agricultura Regenerativa: Del conocimiento y los impactos locales a la adopción a gran escala

The advanced state of land degradation affecting more than 3,200 million people worldwide have raised great international concern regarding the sustainability of socio-ecological systems, urging the large-scale adoption of contextualized sustainable land management. The agricultural industrial model is a major cause of land degradation due to the promotion of unsustainable management practices that deteriorate the quality of soils compromising their capacity to function and deliver ecosystem services. The consequences derived from land degradation are especially devastating in semi-arid regions prone to desertification, where rainfall scarcity and irregularity intensifies crop failure risks and resource degradation, compromising the long term sustainability of these regions. Regenerative agriculture (RA) has recently gained increasing recognition as a plausible solution to restore degraded agroecosystems worldwide. RA is a farming approach foreseen to reverse land degradation, increase biodiversity, boost production and enhance the delivery of multiple ecosystem services by following a series of soil quality restoration principles and practices. Despite its promising benefits, RA has been limitedly adopted in semiarid regions. Major reasons explaining this seemingly incongruous mismatch are the scarce and contrasting empirical data proving its effectiveness, top-down research approaches and lack of farmer involvement in agroecosystem restoration projects and decision-making, and the generally slow response of soils to management changes in semiarid regions, which may delay the appearance of visible results discouraging farmers from adopting RA. In the high steppe plateau of southeast Spain, an on-going process of large-scale landscape restoration through adoption of regenerative agriculture was initiated in 2015. The high steppe plateau is one of the European regions most affected by land degradation and desertification processes and represents one of the world´s largest areas for the production of rainfed organic almonds. In 2015, local farmers created the AlVelAl association with the support of the Commonland Foundation, business entrepreneurs, regional governments, and research institutions, and started to apply RA at their farms. The objective was to restore vast extensions of degraded land for increasing the productivity and biodiversity of their agroecosystems, increasing the resilience to climate change, generating job opportunities and enhancing social cohesion in the region, in a time frame of 20 years following Commonlands´ 4-Returns approach. However, the limited empirical information supporting RA effectiveness, the lack of reference examples in the region, and the slowness with which visible ecological restoration processes usually occur in semiarid regions were considered major obstacles hindering RA adoption in the region. To effectively address this knowledge gap, support farmers and expedite RA adoption, this research proposed horizontal research fostering the creation of learning communities between farmers and researchers, putting together local and scientific knowledge to improve the understanding of RA. This thesis presents a participatory monitoring and evaluation research (PM&E) applying a combination of social and ecological methods to evaluate the potential of PM&E to enhance knowledge exchange between farmers and researchers on Regenerative Agriculture in the context of the high steppe plateau. The aim of this thesis is twofold: on one hand, to increase the understanding on RA impacts, on the other hand, to evaluate the potential contribution of PM&E to enable social learning and contribute to the adaptation and long term adoption of RA in the high steppe plateau and semiarid regions in general. To facilitate PM&E of the impacts of sustainable land management and agricultural innovations like RA, Chapter 2 presents a participatory methodological framework that guides the identification and selection of technical and local indicators of soil quality, generating a monitoring system of soil quality for PM&E by farmers and researchers. The methodological framework includes the development of a visual soil assessment tool integrating local indicators of soil quality for farmers´ monitoring. The framework consists of 7 phases: 1) Definition of research and monitoring objectives; 2) Identification, selection and prioritization of Technical Indicators of Soil Quality (TISQ); 3) Identification, selection and prioritization of Local Indicators of Soil Quality; 4) Development of a visual soil assessment tool integrating LISQ; 5) Testing and validation of the visual soil evaluation tool; 6) Monitoring and assessment of sustainable land management impacts by researchers and farmers using TISQ and the visual soil evaluation tool respectively and; 7) Exchange of monitoring results between all involved participants, and joint evaluation of impacts. To facilitate PM&E of RA in the steppe highlands, Phases 1 to 5 were applied through a series of participatory methods including a first meeting with AlVelAl board members for the definition of research objectives, farm visits, participatory workshops, and conducting formal and informal interviews, among others. Technical indicators of soil quality were identified, selected and prioritized by researchers through an extensive literature review and ad-hoc expert consultation with expertise in soil quality assessment and monitoring. Local indicators of soil quality were identified, selected, prioritized and validated by farmers in two participatory workshops. The co-developed visual soil assessment tool, named the farmer manual, was tested and validated during the second workshop. Local indicators selected by farmers focused mostly on supporting, regulating and provisioning ecosystem services including water regulation, erosion control, soil fertility and crop performance. Technical indicators selected by researchers focused mostly on soil properties including aggregate stability, soil nutrients, microbial biomass and activity, and leaf nutrients, covering crucial supporting services. The combination of local and technical indicators provided complementary information, improving the coverage and feasibility of RA impact assessment, compared to using technical or local indicators alone. The methodological framework developed in this chapter facilitated the identification and selection of local and technical indicators of soil quality to generate relevant monitoring systems and visual soil assessment tools adapted to local contexts, thus improving knowledge exchange and mutual learning between farmers and researchers to support the implementation of RA and optimize the provision of ecosystem services. Implementation of RA usually happens gradually due to socioeconomic, informational, practical, environmental and political constraints Thus, RA adoption by farmers, in practice, translates into different combinations of RA practices, with a diversity of management, based on farmer capabilities, environmental conditions, and expected restoration results. To help the design, adoption and implementation of most effective RA practices to optimize the restoration of agroecosystems, Chapter 3 presents the impacts of the different combinations of RA practices implemented by participating farmers on crucial soil quality and crop performance indicators using previously selected technical indicators of soil quality over a period of 2 years. This chapter corresponds to the application of phase 6 of the methodological framework developed in Chapter 2. RA impacts were assessed in 9 farms on one field with regenerative management and one nearby field with conventional management based on frequent tillage, that were selected together with farmers. Fields were clustered under regenerative management based on the RA practices applied and distinguished 4 types of RA treatments: 1) reduced tillage with green manure (GM), 2) reduced tillage with organic amendments (OA), 3) reduced tillage with green manure and organic amendments (GM&OA), and 4) no tillage with permanent natural covers and organic amendments (NT&OA). The impacts of RA compared to conventional management were evaluated by comparing physical (bulk density and aggregate stability), chemical (pH, salinity, total N, P, K, available P, and exchangeable cations) and biological (SOC, POC, PON, microbial activity) properties of soil quality, and the nutritional status of almond trees (leaf N, P and K). Our results show that GM improved soil physical properties, presenting higher soil aggregate stability. We found that OA improved most soil chemical and biological properties, showing higher contents of SOC, POC, PON, total N, K, P, available P, exchangeable cations and microbial respiration. RA treatments combining ground covers and organic amendments (GM&OA and NT&OA) exhibited greater overall soil quality restoration than individual practices. NT&OA stood out for presenting the highest soil quality improvements. All RA treatments maintained similar crop nutritional status compared to conventional management. We concluded that RA has strong potential to restore the physical, chemical and biological quality of soils of woody agroecosystems in Mediterranean drylands without compromising their nutritional status. Furthermore, farming management combinations of multiple regenerative practices are expected to be more effective than applying individual RA practices. In parallel to researchers´ assessment of RA impacts, farmers assessed RA impacts in their farms by using the farmer manual jointly developed in participatory workshops. Chapter 4 presents the RA impact results from farmers´ assessment, and documented farmers´ insights, in the third year of PM&E, on the visual soil assessment process using the farmer manual, and on PM&E outcomes regarding the facilitation of participation and learning processes. This chapter corresponds to the application of phase 6 and phase 7 of the methodological framework developed in Chapter 2. Farmers´ visual soil assessment indicated regenerative agriculture as a promising solution to restore degraded agroecosystems in semiarid Mediterranean drylands, although observed soil quality improvements were relatively small compared to conventional management, and more time and efforts are needed to attain desired restoration targets. The monitoring results on RA reported by farmers were complementary to researchers´ findings using technical indicators of soil quality. Farmers’ evaluation of the research project highlighted the PM&E research as an educational process that helped them look differently at their land and their restoration efforts and facilitated the creation of relationships of support and trust, learning and capacity building that are fundamental conducive conditions to enhance farming innovation efficiency and adoption. Farmers confirmed that generating spaces for farmer-to-farmer diffusion of knowledge and on-farm experiences is a key driver to expedite farming testing and adoption of innovations. Farmers insights revealed the need to actively involve them in all decision making phases of VSA tools and support them in initial implementation, in order to develop tools that meet farmers´ needs, to enhance VSA tool adoption, and facilitate reaching restoration goals. Furthermore, farmers´ evaluation of the farmer manual suggested the need to reinforce the multipurpose usefulness and potential benefits of collectively recording restoration progress in a systematized way, to enhance VSA tool adoption. Farmers´ insights on the PM&E research reinforces the importance of developing learning communities of farmers and researchers that provide a platform for exchange of experiences and support, as a crucial factor to favor social learning and support the adoption of long-term agricultural innovations. The success of PM&E research for agroecosystem restoration can be improved by integrating iterative phases where farmers can evaluate and adjust research activities and outcomes. We concluded that the process of PM&E that leads to enhanced social capital, social learning and improved understanding of restoration efforts has as much value as the actual restoration outcomes on the ground. Social learning is considered an important precondition for the adoption of contextualized sustainable land management and farming innovations like RA. The main objective of involving farmers and researchers in PM&E of RA was to enable social learning for enhanced understanding of RA impacts and support adoption of RA. Although there is a growing body of literature asserting the achievement of social learning through participatory processes, social learning has been loosely defined, sparsely assessed, and only partially covered when measured. Confirming that a participatory process has favored social learning implies demonstrating that there has been an acquisition of knowledge and change in perceptions at individual and collective level in the people involved in the participatory process, and that this change in perceptions has been generated through social relations. Chapter 5 presents an assessment of how the PM&E research process enabled social learning by effectively increasing knowledge exchange and understanding of RA impacts between participating farmers and researchers, and multiple stakeholders of farmers´ social networks. Occurrence of social learning was assessed by covering its social-cognitive (perceptions) and social-relational (social networks) dimensions. This chapter discusses the potential of PM&E to foster adoption and out-scaling of sustainable land management and farming innovations like RA by promoting the generation of information fluxes between farmers and researchers participating in PM&E and the agricultural community of which they form part. To assess changes in farmers´ perceptions and shared fluxes of information on RA before starting the PM&E and after three years of research, we applied fuzzy cognitive mapping and social network analysis as graphical semi-quantitative methods. Our results showed that PM&E enabled social learning amongst participating farmers who strengthened and enlarged their social networks on information sharing, and presented a more complex and broader common understanding of regenerative agriculture impacts and benefits. This supports the idea that PM&E thereby creates crucial preconditions for the adoption and out-scaling of RA. This study was one of the first studies in the field of natural resource management and innovation adoption proving that social learning occurred by providing evidence of both the socialcognitive and social-relational dimension. Our findings are relevant for the design of PM&E processes, agroecosystem Living Labs, and landscape restoration initiatives that aim to support farmers´ adoption and out-scaling of contextualized farming innovations and sustainable land management. We concluded that PM&E where the democratic involvement of participants is the bedrock of the whole research process and the needs and concerns of the farming community are taken as the basis for collaborative research represents a great opportunity to generate inclusive, engaging, efficient, and sound restoration processes and transitions towards sustainable and resilient agroecosystems

Monitorización y Evaluación Participativa en Agricultura Regenerativa: Del conocimiento y los impactos locales a la adopción a gran escala

The advanced state of land degradation affecting more than 3,200 million people worldwide have raised great international concern regarding the sustainability of socio-ecological systems, urging the large-scale adoption of contextualized sustainable land management. The agricultural industrial model is a major cause of land degradation due to the promotion of unsustainable management practices that deteriorate the quality of soils compromising their capacity to function and deliver ecosystem services. The consequences derived from land degradation are especially devastating in semi-arid regions prone to desertification, where rainfall scarcity and irregularity intensifies crop failure risks and resource degradation, compromising the long term sustainability of these regions. Regenerative agriculture (RA) has recently gained increasing recognition as a plausible solution to restore degraded agroecosystems worldwide. RA is a farming approach foreseen to reverse land degradation, increase biodiversity, boost production and enhance the delivery of multiple ecosystem services by following a series of soil quality restoration principles and practices. Despite its promising benefits, RA has been limitedly adopted in semiarid regions. Major reasons explaining this seemingly incongruous mismatch are the scarce and contrasting empirical data proving its effectiveness, top-down research approaches and lack of farmer involvement in agroecosystem restoration projects and decision-making, and the generally slow response of soils to management changes in semiarid regions, which may delay the appearance of visible results discouraging farmers from adopting RA. In the high steppe plateau of southeast Spain, an on-going process of large-scale landscape restoration through adoption of regenerative agriculture was initiated in 2015. The high steppe plateau is one of the European regions most affected by land degradation and desertification processes and represents one of the world´s largest areas for the production of rainfed organic almonds. In 2015, local farmers created the AlVelAl association with the support of the Commonland Foundation, business entrepreneurs, regional governments, and research institutions, and started to apply RA at their farms. The objective was to restore vast extensions of degraded land for increasing the productivity and biodiversity of their agroecosystems, increasing the resilience to climate change, generating job opportunities and enhancing social cohesion in the region, in a time frame of 20 years following Commonlands´ 4-Returns approach. However, the limited empirical information supporting RA effectiveness, the lack of reference examples in the region, and the slowness with which visible ecological restoration processes usually occur in semiarid regions were considered major obstacles hindering RA adoption in the region. To effectively address this knowledge gap, support farmers and expedite RA adoption, this research proposed horizontal research fostering the creation of learning communities between farmers and researchers, putting together local and scientific knowledge to improve the understanding of RA. This thesis presents a participatory monitoring and evaluation research (PM&E) applying a combination of social and ecological methods to evaluate the potential of PM&E to enhance knowledge exchange between farmers and researchers on Regenerative Agriculture in the context of the high steppe plateau. The aim of this thesis is twofold: on one hand, to increase the understanding on RA impacts, on the other hand, to evaluate the potential contribution of PM&E to enable social learning and contribute to the adaptation and long term adoption of RA in the high steppe plateau and semiarid regions in general. To facilitate PM&E of the impacts of sustainable land management and agricultural innovations like RA, Chapter 2 presents a participatory methodological framework that guides the identification and selection of technical and local indicators of soil quality, generating a monitoring system of soil quality for PM&E by farmers and researchers. The methodological framework includes the development of a visual soil assessment tool integrating local indicators of soil quality for farmers´ monitoring. The framework consists of 7 phases: 1) Definition of research and monitoring objectives; 2) Identification, selection and prioritization of Technical Indicators of Soil Quality (TISQ); 3) Identification, selection and prioritization of Local Indicators of Soil Quality; 4) Development of a visual soil assessment tool integrating LISQ; 5) Testing and validation of the visual soil evaluation tool; 6) Monitoring and assessment of sustainable land management impacts by researchers and farmers using TISQ and the visual soil evaluation tool respectively and; 7) Exchange of monitoring results between all involved participants, and joint evaluation of impacts. To facilitate PM&E of RA in the steppe highlands, Phases 1 to 5 were applied through a series of participatory methods including a first meeting with AlVelAl board members for the definition of research objectives, farm visits, participatory workshops, and conducting formal and informal interviews, among others. Technical indicators of soil quality were identified, selected and prioritized by researchers through an extensive literature review and ad-hoc expert consultation with expertise in soil quality assessment and monitoring. Local indicators of soil quality were identified, selected, prioritized and validated by farmers in two participatory workshops. The co-developed visual soil assessment tool, named the farmer manual, was tested and validated during the second workshop. Local indicators selected by farmers focused mostly on supporting, regulating and provisioning ecosystem services including water regulation, erosion control, soil fertility and crop performance. Technical indicators selected by researchers focused mostly on soil properties including aggregate stability, soil nutrients, microbial biomass and activity, and leaf nutrients, covering crucial supporting services. The combination of local and technical indicators provided complementary information, improving the coverage and feasibility of RA impact assessment, compared to using technical or local indicators alone. The methodological framework developed in this chapter facilitated the identification and selection of local and technical indicators of soil quality to generate relevant monitoring systems and visual soil assessment tools adapted to local contexts, thus improving knowledge exchange and mutual learning between farmers and researchers to support the implementation of RA and optimize the provision of ecosystem services. Implementation of RA usually happens gradually due to socioeconomic, informational, practical, environmental and political constraints Thus, RA adoption by farmers, in practice, translates into different combinations of RA practices, with a diversity of management, based on farmer capabilities, environmental conditions, and expected restoration results. To help the design, adoption and implementation of most effective RA practices to optimize the restoration of agroecosystems, Chapter 3 presents the impacts of the different combinations of RA practices implemented by participating farmers on crucial soil quality and crop performance indicators using previously selected technical indicators of soil quality over a period of 2 years. This chapter corresponds to the application of phase 6 of the methodological framework developed in Chapter 2. RA impacts were assessed in 9 farms on one field with regenerative management and one nearby field with conventional management based on frequent tillage, that were selected together with farmers. Fields were clustered under regenerative management based on the RA practices applied and distinguished 4 types of RA treatments: 1) reduced tillage with green manure (GM), 2) reduced tillage with organic amendments (OA), 3) reduced tillage with green manure and organic amendments (GM&OA), and 4) no tillage with permanent natural covers and organic amendments (NT&OA). The impacts of RA compared to conventional management were evaluated by comparing physical (bulk density and aggregate stability), chemical (pH, salinity, total N, P, K, available P, and exchangeable cations) and biological (SOC, POC, PON, microbial activity) properties of soil quality, and the nutritional status of almond trees (leaf N, P and K). Our results show that GM improved soil physical properties, presenting higher soil aggregate stability. We found that OA improved most soil chemical and biological properties, showing higher contents of SOC, POC, PON, total N, K, P, available P, exchangeable cations and microbial respiration. RA treatments combining ground covers and organic amendments (GM&OA and NT&OA) exhibited greater overall soil quality restoration than individual practices. NT&OA stood out for presenting the highest soil quality improvements. All RA treatments maintained similar crop nutritional status compared to conventional management. We concluded that RA has strong potential to restore the physical, chemical and biological quality of soils of woody agroecosystems in Mediterranean drylands without compromising their nutritional status. Furthermore, farming management combinations of multiple regenerative practices are expected to be more effective than applying individual RA practices. In parallel to researchers´ assessment of RA impacts, farmers assessed RA impacts in their farms by using the farmer manual jointly developed in participatory workshops. Chapter 4 presents the RA impact results from farmers´ assessment, and documented farmers´ insights, in the third year of PM&E, on the visual soil assessment process using the farmer manual, and on PM&E outcomes regarding the facilitation of participation and learning processes. This chapter corresponds to the application of phase 6 and phase 7 of the methodological framework developed in Chapter 2. Farmers´ visual soil assessment indicated regenerative agriculture as a promising solution to restore degraded agroecosystems in semiarid Mediterranean drylands, although observed soil quality improvements were relatively small compared to conventional management, and more time and efforts are needed to attain desired restoration targets. The monitoring results on RA reported by farmers were complementary to researchers´ findings using technical indicators of soil quality. Farmers’ evaluation of the research project highlighted the PM&E research as an educational process that helped them look differently at their land and their restoration efforts and facilitated the creation of relationships of support and trust, learning and capacity building that are fundamental conducive conditions to enhance farming innovation efficiency and adoption. Farmers confirmed that generating spaces for farmer-to-farmer diffusion of knowledge and on-farm experiences is a key driver to expedite farming testing and adoption of innovations. Farmers insights revealed the need to actively involve them in all decision making phases of VSA tools and support them in initial implementation, in order to develop tools that meet farmers´ needs, to enhance VSA tool adoption, and facilitate reaching restoration goals. Furthermore, farmers´ evaluation of the farmer manual suggested the need to reinforce the multipurpose usefulness and potential benefits of collectively recording restoration progress in a systematized way, to enhance VSA tool adoption. Farmers´ insights on the PM&E research reinforces the importance of developing learning communities of farmers and researchers that provide a platform for exchange of experiences and support, as a crucial factor to favor social learning and support the adoption of long-term agricultural innovations. The success of PM&E research for agroecosystem restoration can be improved by integrating iterative phases where farmers can evaluate and adjust research activities and outcomes. We concluded that the process of PM&E that leads to enhanced social capital, social learning and improved understanding of restoration efforts has as much value as the actual restoration outcomes on the ground. Social learning is considered an important precondition for the adoption of contextualized sustainable land management and farming innovations like RA. The main objective of involving farmers and researchers in PM&E of RA was to enable social learning for enhanced understanding of RA impacts and support adoption of RA. Although there is a growing body of literature asserting the achievement of social learning through participatory processes, social learning has been loosely defined, sparsely assessed, and only partially covered when measured. Confirming that a participatory process has favored social learning implies demonstrating that there has been an acquisition of knowledge and change in perceptions at individual and collective level in the people involved in the participatory process, and that this change in perceptions has been generated through social relations. Chapter 5 presents an assessment of how the PM&E research process enabled social learning by effectively increasing knowledge exchange and understanding of RA impacts between participating farmers and researchers, and multiple stakeholders of farmers´ social networks. Occurrence of social learning was assessed by covering its social-cognitive (perceptions) and social-relational (social networks) dimensions. This chapter discusses the potential of PM&E to foster adoption and out-scaling of sustainable land management and farming innovations like RA by promoting the generation of information fluxes between farmers and researchers participating in PM&E and the agricultural community of which they form part. To assess changes in farmers´ perceptions and shared fluxes of information on RA before starting the PM&E and after three years of research, we applied fuzzy cognitive mapping and social network analysis as graphical semi-quantitative methods. Our results showed that PM&E enabled social learning amongst participating farmers who strengthened and enlarged their social networks on information sharing, and presented a more complex and broader common understanding of regenerative agriculture impacts and benefits. This supports the idea that PM&E thereby creates crucial preconditions for the adoption and out-scaling of RA. This study was one of the first studies in the field of natural resource management and innovation adoption proving that social learning occurred by providing evidence of both the socialcognitive and social-relational dimension. Our findings are relevant for the design of PM&E processes, agroecosystem Living Labs, and landscape restoration initiatives that aim to support farmers´ adoption and out-scaling of contextualized farming innovations and sustainable land management. We concluded that PM&E where the democratic involvement of participants is the bedrock of the whole research process and the needs and concerns of the farming community are taken as the basis for collaborative research represents a great opportunity to generate inclusive, engaging, efficient, and sound restoration processes and transitions towards sustainable and resilient agroecosystems

The Knowledge Life Cycle for e-learning

In this paper, we examine the semantic aspects of e-learning from both pedagogical and technological points of view. We suggest that if semantics are to fulfil their potential in the learning domain then a paradigm shift in perspective is necessary, from information-based content delivery to knowledge-based collaborative learning services. We propose a semantics driven Knowledge Life Cycle that characterises the key phases in managing semantics and knowledge, show how this can be applied to the learning domain and demonstrate the value of semantics via an example of knowledge reuse in learning assessment management

Stockport College of Further and Higher Education inspection report

Inspection week: May 21–May 25 200

Lessons for PreK-3rd From Montgomery County Public Schools

Presents a case study of how a district improved third-grade reading proficiency rates and narrowed the achievement gap, in spite of growing English Language Learner and low-income populations, by implementing an integrated early learning strategy

Seeing the wood for the trees. Carer related research and knowledge: A scoping review

This NIHR-SSCR funded scoping review provides a comprehensive mapping of what is known about carers and caring, and aims to help inform policy, practice and research in relation to carers. The review was undertaken by searching 10 electronic bibliographic databases, supplemented by additional web searches to identify academic research, grey literature and wider knowledge. The analysis adopts a selective thematic approach covering: carer variables - the characteristics of different types of carer and different caring situations; types of care - the nature of needs of the cared for person and the features of the care situation; the impact of caring – resilience and coping, employment and health; and carer support and needs assessment. The final section highlights key messages identified from the review. It found that caring involves all sections and age groups of the population, with people are likely to experience one or more periods of caregiving over their lifetime. The uniqueness of each caring relationship is also highlighted. In relation to types of carers, knowledge about ‘hard to reach’ groups, such as BAME and LGBT carers, remains sparse. Older carers are also relatively invisible in policy and research terms. It found that much of the knowledge about carers identified in the review relates to their characteristics, their lived experience and the nature of their caregiving, with relatively less being known about the effectiveness of interventions to support them. The report concludes by offering suggestions for policy and practice. An appendix provides a bibliography of the 3,434 items identified in review, classified into 17 types of reference

Effective models of employment-based training

Evolving models of employment-based training (EBT) are responding to skill shortages and the need to develop technical skills at a level higher than a certificate III—the benchmark qualification level considered by many as the minimum for ensuring sustainable job outcomes (Stanwick 2004). This research explored a variety of current employment-based training models and proposed five enhancements for higher-level qualifications. These changes concentrate on maintaining a balance of learning experiences between educational institutions and the workplace. The project was based around case studies in process manufacturing and child care. Thirty-three individuals, representing employers, employees/apprentices, vocational education and training (VET) providers, industry bodies and training package developers were interviewed. The issues and views expressed by those interviewed from both industries were consistent with what was found in the literature review. Current models of employment-based training can usefully be grouped as: two forms of 'fast-tracking' options in a formal apprenticeship model, especially at certificate III level, to address immediate skills shortages. These are accelerated progression models (shorter durations linked to a truly competency-based approach) and intensive up-front training, followed by work-based learning to ensure immediate productivity of the learner in the workplace higher-level VET qualifications gained either through an apprenticeship or by undertaking a vocational course the design of new skill sets/qualifications at various levels of the Australian Qualifications Framework (AQF) alternative provisions for young people. Although these models continue to make a significant contribution to the skilling of the Australian workforce, their full potential is limited by certain persistent issues. These include inconsistent regulatory arrangements, non-compliance by employers and registered training organisations, poor audit processes, variations in the interpretation and practice of competency-based training, and wages and awards. These various factors mean poor completion rates and losses for individuals, employers, governments and other stakeholders. Recent changes in policy direction are attempting to address some of these issues and simultaneously increase interest and growth in the uptake of employment-based training. Any new models of employment-based training should address existing problems, as well as take into account the emerging needs of industry for skilled labour. The design of the models must also address an ageing workforce and allow flexible entry points for all age groups. Furthermore, future employment-based training models also need to keep pace with how work is organised in an environment characterised by increased competition, outsourcing, casualisation and an emphasis on specialisation and innovation. What is becoming apparent is the need for a compendium of models, rather than a 'one size fits all' approach