The document provides guidance to mapping teams on developing, modifying, and analyzing common assessments, with sections outlining the process for each scenario and examples of assessment data reports from Mastery Manager that can be used to inform future assessment and curriculum decisions. Key steps include establishing learning outcomes, aligning questions, and examining assessment and teacher reflection data to determine if assessments adequately measure taught content.
The document discusses challenges with typical metrics used in software testing. It notes that counts, percentages and trends used are often inaccurate and lack context. Metrics need to be tied to objectives and drive organizational change to be effective. Sampling approaches in testing need to approximate the actual quality, but randomness may not find as many defects as methodical testing. The presentation provides examples of nominal, ordinal, interval and ratio measures and recommends using the appropriate levels of measurement. It also addresses issues with deriving ratios from lower levels of data and challenges in measuring trends over time.
This document discusses identifying usability issues during user testing. Some key points include:
- Usability issues can range from obvious problems that prevent task completion to more subtle inconsistencies. Understanding what constitutes an issue is important.
- Issues are typically identified by directly observing participants complete tasks and noting where they have difficulties, delays, or get off track. Automated remote studies can also identify some issues.
- Multiple observers are preferable to identify more issues. Issues should be analyzed by frequency, severity, and impact on tasks and user flows to prioritize improvements.
Learning-Based Evaluation of Visual Analytic Systems.BELIV Workshop
This document proposes a "learning-based evaluation" method for assessing visual analytics systems. The goal is to directly measure how much knowledge users gain from interacting with a system. It involves giving users a new but related task after use and testing their proficiency. This allows evaluating if the system helped users learn about the interface, data or problem domain. The document outlines applying this to the VAST Challenge and integrating it with other evaluation methods. It argues this approach matches what clients like agencies need to see to adopt systems.
Statistics in the age of data science, issues you can not ignoreTuri, Inc.
This document discusses issues in statistics that data scientists can and cannot ignore when working with large datasets. It begins by outlining the talk and defining key terms in data science. It then explains that model assessment, such as estimating model performance on new data, becomes easier with more data as statistical adjustments are not needed. However, more data and variables are not always better, as noise, collinearity, and overfitting can still occur. Several examples are given where common machine learning algorithms can be fooled into achieving high accuracy on training data even when the target variable is random. The conclusion emphasizes that data science, statistics, and domain expertise each provide unique perspectives, and effective teams need to understand all views.
The document discusses 7 quality control tools used to identify, analyze, and resolve problems in a systematic manner. The tools include check sheets, histograms, Pareto charts, cause-and-effect diagrams, scatter plots, defect concentration diagrams, and control charts. These simple but powerful tools can help solve day-to-day work problems and identify solutions by collecting and analyzing process data.
This document summarizes the evaluation of the Team Climate Inventory (TCI) questionnaire using structural equation modeling. It discusses prior analyses that validated the six-factor structure of the TCI based on aggregated data, which ignores the nested data structure. The current study aims to validate the TCI for use as an independent variable by verifying its six-dimension construct using exploratory factor analysis and structural equation modeling on individual-level data from two time periods. Results found some dimensions may have more than one factor and that items models fit better than scores models. Future work includes validating the models on additional data and modifying item models based on exploratory factor analysis results.
About Joseph Ours' Presentation – “Bad Metric – Bad!”
Metrics have always been used in corporate sectors, primarily as a way to gain insight into what is an otherwise invisible world. Organizations blindly adopt a set of metrics as a way of satisfying some process transparency requirement, rarely applying any statistical or scientific thought behind the measures and metrics they establish and interpret. Many metrics do not represent what people believe they do and as a result can lead to erroneous decisions. Joseph looks at some of the common and some of the humorous testing metrics and determines why they are failures. He further discusses the real purpose of metrics, metrics programs and finishes with pitfalls into which you fall.
The document discusses the 7 QC tools, which are statistical tools used for problem solving. It describes each tool in detail: 1) Pareto diagram arranges items by contribution to identify few major factors, 2) Cause-effect diagrams show relationships between problems and causes, 3) Histograms show data distributions and patterns, 4) Control charts separate random and assignable variations, 5) Scatter diagrams show relationships between two variables, 6) Graphs provide visual representations of data, and 7) Check sheets standardize data collection. These 7 tools were developed in Japan and are still widely used for quality improvement and problem solving.
The document discusses challenges with typical metrics used in software testing. It notes that counts, percentages and trends used are often inaccurate and lack context. Metrics need to be tied to objectives and drive organizational change to be effective. Sampling approaches in testing need to approximate the actual quality, but randomness may not find as many defects as methodical testing. The presentation provides examples of nominal, ordinal, interval and ratio measures and recommends using the appropriate levels of measurement. It also addresses issues with deriving ratios from lower levels of data and challenges in measuring trends over time.
This document discusses identifying usability issues during user testing. Some key points include:
- Usability issues can range from obvious problems that prevent task completion to more subtle inconsistencies. Understanding what constitutes an issue is important.
- Issues are typically identified by directly observing participants complete tasks and noting where they have difficulties, delays, or get off track. Automated remote studies can also identify some issues.
- Multiple observers are preferable to identify more issues. Issues should be analyzed by frequency, severity, and impact on tasks and user flows to prioritize improvements.
Learning-Based Evaluation of Visual Analytic Systems.BELIV Workshop
This document proposes a "learning-based evaluation" method for assessing visual analytics systems. The goal is to directly measure how much knowledge users gain from interacting with a system. It involves giving users a new but related task after use and testing their proficiency. This allows evaluating if the system helped users learn about the interface, data or problem domain. The document outlines applying this to the VAST Challenge and integrating it with other evaluation methods. It argues this approach matches what clients like agencies need to see to adopt systems.
Statistics in the age of data science, issues you can not ignoreTuri, Inc.
This document discusses issues in statistics that data scientists can and cannot ignore when working with large datasets. It begins by outlining the talk and defining key terms in data science. It then explains that model assessment, such as estimating model performance on new data, becomes easier with more data as statistical adjustments are not needed. However, more data and variables are not always better, as noise, collinearity, and overfitting can still occur. Several examples are given where common machine learning algorithms can be fooled into achieving high accuracy on training data even when the target variable is random. The conclusion emphasizes that data science, statistics, and domain expertise each provide unique perspectives, and effective teams need to understand all views.
The document discusses 7 quality control tools used to identify, analyze, and resolve problems in a systematic manner. The tools include check sheets, histograms, Pareto charts, cause-and-effect diagrams, scatter plots, defect concentration diagrams, and control charts. These simple but powerful tools can help solve day-to-day work problems and identify solutions by collecting and analyzing process data.
This document summarizes the evaluation of the Team Climate Inventory (TCI) questionnaire using structural equation modeling. It discusses prior analyses that validated the six-factor structure of the TCI based on aggregated data, which ignores the nested data structure. The current study aims to validate the TCI for use as an independent variable by verifying its six-dimension construct using exploratory factor analysis and structural equation modeling on individual-level data from two time periods. Results found some dimensions may have more than one factor and that items models fit better than scores models. Future work includes validating the models on additional data and modifying item models based on exploratory factor analysis results.
About Joseph Ours' Presentation – “Bad Metric – Bad!”
Metrics have always been used in corporate sectors, primarily as a way to gain insight into what is an otherwise invisible world. Organizations blindly adopt a set of metrics as a way of satisfying some process transparency requirement, rarely applying any statistical or scientific thought behind the measures and metrics they establish and interpret. Many metrics do not represent what people believe they do and as a result can lead to erroneous decisions. Joseph looks at some of the common and some of the humorous testing metrics and determines why they are failures. He further discusses the real purpose of metrics, metrics programs and finishes with pitfalls into which you fall.
The document discusses the 7 QC tools, which are statistical tools used for problem solving. It describes each tool in detail: 1) Pareto diagram arranges items by contribution to identify few major factors, 2) Cause-effect diagrams show relationships between problems and causes, 3) Histograms show data distributions and patterns, 4) Control charts separate random and assignable variations, 5) Scatter diagrams show relationships between two variables, 6) Graphs provide visual representations of data, and 7) Check sheets standardize data collection. These 7 tools were developed in Japan and are still widely used for quality improvement and problem solving.
The document discusses various techniques for problem analysis that can be used to identify the root causes of issues in organizations. It outlines models and methods like force field analysis, fishbone diagram, five whys, cause-and-effect analysis and interrelationship digraph that can help analyze problems systematically. These techniques verify the problem, identify potential causes through tools like brainstorming, and trace the line of causality to determine the key factors contributing to an identified effect or problem.
The document summarizes Berea College's efforts to integrate data analysis skills across its social science curriculum. It discusses using ready-made modules from an online data resource to teach skills like reading frequencies, interpreting bivariate tables, testing hypotheses using data, and writing conclusions. Students work through a module comparing earnings by sex and race in class and as homework. They then present their findings and get peer feedback on a written analysis. Pre/post-tests and paper assessments show significant gains in students' quantitative skills and confidence working with data to tell "stories" about social issues.
This document provides a template for students to write a problem-analysis report. It outlines the required sections which include an executive summary, introduction discussing the background and scope of the problem, methodology, discussion of findings, conclusions drawn, and recommendations. The introduction defines the nature and statement of the problem and objectives. The discussion presents evidence and findings from data gathering. Conclusions infer implications and relate discussions to ideas. Recommendations provide options by weighing pros and cons to determine the best solution. Supplementary sections include appendices, sources, and glossary. The template aims to guide students in thoroughly analyzing an identified problem and providing a solution.
This is an example of a one-group pretest-posttest design. It is a weak design because there is no control group for comparison. The researchers cannot determine if the change in grief is due to the therapy or some other factor like the passage of time. Adding a control group that does not receive the therapy would strengthen the design by allowing for comparison.
An overview of how to undertake a problem tree analysis as part of the formative evaluation of a project's design. This is taken from the Evaluation Toolbox www.evaluationtoolbox.net.au
The document provides an overview of several quality tools including brainstorming, check sheets, priority matrices, cause-and-effect diagrams, in-depth analysis, Pareto charts, and flow charts. It describes the purpose, benefits, and basic process for conducting each tool. For brainstorming, it outlines the types, phases, and advantages. For check sheets, it provides an example template. For cause-and-effect diagrams, it shows an example fishbone diagram. And for Pareto charts, it illustrates how to construct one and identify the major causes of issues.
The first requirement for an online mathematics homework engine is to encourage students to practice and reinforce their mathematics skills in ways that are as good or better than traditional paper homework. The use of the computer and the internet should not limit the kind or quality of the mathematics that we teach and if possible it should expand it.
Now that much of the homework practice takes place online we have the potential of a new and much better window into how students learn mathematics but we must continue to ensure that students are studying the mathematics we want to have learned and not just mathematics that is easily gradable. Several of the open source mathematics engines that do this well are represented at this conference.
The WeBWorK mathematics rendering engine started twenty years ago as a stand alone application. Since then homework questions contributed by many, many mathematicians to the OpenProblemLibrary (OPL) have created a collection of over 30,000 Creative Commons licensed problems primarily directed toward calculus but ranging from basic algebra through matrix linear algebra.
I’ll present one of the adaptations of WeBWorK which allows it to render mathematics questions for a standard Moodle quiz in much the same way that STACK functions. Both STACK and WeBWorK vastly increase Moodle’s ability to handle mathematics. Using the Moodle quiz format will make the OPL available to many more educators and allows utilization of Moodle’s facility at collecting student data.
If there is time I’ll show a second adaptation which allows WeBWorK to serve as an assignment type within Moodle. These same mechanisms allow active WeBWorK questions to be embedded in other learning management systems, in interactive textbooks and even HTML pages. This capability fits well with an emerging trend to use smaller, more specialized, inter-operating components for online education.
The document discusses different methods for evaluating the impact of an education program called the Balsakhi program in India. It compares the results of 4 different evaluation methods: 1) pre-post comparison showed a test score gain of 26.42 points, 2) simple difference comparison showed Balsakhi students scored 5.05 points lower, 3) difference-in-differences estimated an impact of 6.82 points, and 4) a regression controlling for covariates estimated an impact of 1.92 points. Randomization was proposed as the best method to construct a valid counterfactual for estimating true program impact.
This document discusses the importance of data collection in the classroom for assessment, accountability, collaboration, problem solving, and providing feedback. It defines what constitutes data and explains that data collection has two components: information gathering and decision making. Several models for data-based decision making are presented for academic and behavioral issues. The document provides tips on how to properly collect objective, measurable baseline data and tips for managing the data collected. It demonstrates how to graph data using different chart types and how to use data to make intervention and instructional decisions.
The document provides an overview of different types of preference assessments, including single stimulus, paired stimulus, and multiple stimulus preference assessments. It describes the procedures for each type of assessment, including how to present stimuli, collect data, and calculate and interpret the results. Single stimulus assessments involve presenting one item at a time while paired stimulus assessments present two items simultaneously. Multiple stimulus assessments present multiple items at once without replacement. The document provides guidance on which type of assessment may be most appropriate based on a learner's abilities and needs.
Beyond Fossil Fuels: Biofuel Opportunities for AfricaXZ3
This document discusses opportunities for renewable energy in Africa beyond fossil fuels. It notes that Africa has low electrification rates and energy consumption. Renewable sources like biomass, hydro, geothermal, wind and solar are discussed. Specific opportunities for biofuels in West Africa are examined. The creation of the African Biofuel and Renewable Energy Fund (ABREF) is proposed to finance biofuel and renewable energy projects, with the goals of contributing to industry development in Africa and providing returns through certified emission reduction credits.
Conversion of Marine Fishing Vessel Diesel Engines for Use with Straight Vege...XZ3
This document discusses converting marine fishing vessel diesel engines to use straight vegetable oil (SVO) as fuel instead of fossil diesel. It provides background on rising oil costs and dependence on imports as motivation. Converting engines is estimated to cost €1500 per engine. Using SVO provides environmental benefits but may currently cost 11-18 cents more per liter than untaxed diesel. Subsidizing SVO to account for its environmental benefits could make it cost competitive across the EU. The conclusion is that promoting SVO use would have political, social, environmental and economic benefits and should be considered a viable alternative to fossil diesel for fishermen.
Breeding Sustainable Energy Crops For The Developing WorldXZ3
This document proposes a research project to develop Jatropha curcas as a sustainable energy crop for developing countries. The goals are to establish a Jatropha germplasm collection, evaluate varieties for yield and other traits, conduct a breeding program to develop improved varieties adapted to marginal lands, and establish Jatropha as a cash crop in Haiti. The project would address Haiti's needs for environmental restoration, economic development, and reduced fuel imports by developing Jatropha as a crop for hillsides and biodiesel production.
The document discusses opportunities for using coconut oil as a biofuel in Pacific Islands. Key points include:
1) Coconut oil can replace or be blended with diesel fuel in engines, providing economic benefits through lower local costs compared to imported diesel.
2) Using coconut oil can support local agro-industries and reduce emissions compared to diesel. However, straight coconut oil requires engine adaptations.
3) Producing biodiesel from coconut oil is more expensive than using straight coconut oil due to chemical processing requirements.
The document provides information about a 2 tank system conversion kit for diesel engines to run on straight vegetable oil (SVO).
The conversion kit contains all the necessary parts to modify the engine, including a second fuel tank, fuel filters, pumps, heat exchanger, sensors and wiring. Detailed instructions and diagrams for installation are also included.
Additional information is given about available second fuel tank models and accessories that can be selected, with pricing. The kit aims to allow operation of the engine according to the included "Vegetable Oil Quality Standard" specifications.
Can It Be Done: I ran my Mercedes on Straight Vegetable Oil XZ3
1) The author has been running his 1980 Mercedes on straight vegetable oil (SVO) for 5 months without issues. Others are surprised that a diesel engine can run on vegetable oil.
2) Rudolph Diesel originally designed diesel engines to run on vegetable oil. The author discusses various types of vegetable-based fuels including SVO, biodiesel (B100), and a B20 blend.
3) Benefits of using vegetable oil over diesel include reducing emissions, being carbon neutral, reducing reliance on oil companies, and saving money on fuel costs. The author provides details on gathering, filtering, and using vegetable oil as fuel.
A Comparison of Liquid Biofuels in Home Heating FurnacesXZ3
A study tested various biofuel blends in home heating furnaces and found that a 20% blend of waste vegetable oil (WVO) performed well and was the first biofuel to be cheaper than petroleum heating oil. Field tests of 20% WVO and soybean oil (SVO) blends found no issues after several months of use. Using less refined plant oils and waste oils reduces biofuel production costs and brings the prices below the petroleum barrier. Future studies are needed on long-term storage stability and delivery issues for biofuel heating to help establish local production in Connecticut.
This document discusses using straight vegetable oil or waste vegetable oil as an alternative fuel to diesel for vehicles. It provides annual savings estimates of using these fuels which include reducing diesel consumption by over 6,800 gallons and $9,221 in savings per year. It also outlines operational questions about how these fuels work and their environmental impacts such as being carbon neutral and reusing a waste product.
Characterization Of Jatropha Curcas L. Seed And Its OilXZ3
The document analyzes the physical properties and composition of Jatropha curcas L. seeds and oil from Argentina and Paraguay. It finds:
1) The seeds have high levels of protein (26.2%) and carbohydrates (56.5%) in the press extraction cake.
2) The oil from both sources is highly unsaturated, with linoleic acid being the most abundant fatty acid (42.6% for Paraguayan oil and 53.3% for Argentinean oil).
3) Both oils have high acidity (26.8 mg KOH/g oil) which prevents direct transesterification for biodiesel production.
Adapting A VW Golf Car For Using Pure Rapeseed Oil As FuelXZ3
This document summarizes research adapting a VW Golf automobile to run on pure rapeseed oil as fuel. Key points:
- A VW Golf with a 1.9L diesel engine was modified using an Elsbett one-tank conversion kit, allowing it to use pure rapeseed oil as fuel.
- Initial tests were conducted in winter conditions down to -7°C. The modified engine started and drove without issues, showing rapeseed oil fuel consumption was slightly higher than diesel but better than biodiesel.
- Component temperature measurements showed the electric fuel heater brought oil temperatures over 60°C within 1.5-1.7 minutes, allowing warm engine operation on rapeseed oil even below
Biodiesel Production from Jatropha curcas Oil Using Potassium CarbonateXZ3
This document summarizes a study on producing biodiesel from Jatropha curcas (JTC) oil using potassium carbonate as an unsupported catalyst. Key findings include:
1) Potassium carbonate produced the least amount of soap compared to other base catalysts and can be recovered from JTC seedcake ash, making it suitable for biodiesel production from JTC oil.
2) The transesterification of JTC oil appeared complete within 15 minutes using 5% potassium carbonate and a 6:1 methanol to oil ratio or 4% potassium carbonate and a 9:1 ratio, both at 60°C.
3) FTIR-ATR analysis was used to monitor the
This document provides links to resources about organic gardening and farming techniques, including manuals on increasing plant yields by 400%, rainwater harvesting, green roofs, straight vegetable oil vehicles, garden therapy for the disabled, volunteering on organic farms in Europe, solar energy training, and eco-friendly coffee bean development projects. The resources aim to educate about city, backyard, and urban farming using organic and sustainable methods.
The document discusses various techniques for problem analysis that can be used to identify the root causes of issues in organizations. It outlines models and methods like force field analysis, fishbone diagram, five whys, cause-and-effect analysis and interrelationship digraph that can help analyze problems systematically. These techniques verify the problem, identify potential causes through tools like brainstorming, and trace the line of causality to determine the key factors contributing to an identified effect or problem.
The document summarizes Berea College's efforts to integrate data analysis skills across its social science curriculum. It discusses using ready-made modules from an online data resource to teach skills like reading frequencies, interpreting bivariate tables, testing hypotheses using data, and writing conclusions. Students work through a module comparing earnings by sex and race in class and as homework. They then present their findings and get peer feedback on a written analysis. Pre/post-tests and paper assessments show significant gains in students' quantitative skills and confidence working with data to tell "stories" about social issues.
This document provides a template for students to write a problem-analysis report. It outlines the required sections which include an executive summary, introduction discussing the background and scope of the problem, methodology, discussion of findings, conclusions drawn, and recommendations. The introduction defines the nature and statement of the problem and objectives. The discussion presents evidence and findings from data gathering. Conclusions infer implications and relate discussions to ideas. Recommendations provide options by weighing pros and cons to determine the best solution. Supplementary sections include appendices, sources, and glossary. The template aims to guide students in thoroughly analyzing an identified problem and providing a solution.
This is an example of a one-group pretest-posttest design. It is a weak design because there is no control group for comparison. The researchers cannot determine if the change in grief is due to the therapy or some other factor like the passage of time. Adding a control group that does not receive the therapy would strengthen the design by allowing for comparison.
An overview of how to undertake a problem tree analysis as part of the formative evaluation of a project's design. This is taken from the Evaluation Toolbox www.evaluationtoolbox.net.au
The document provides an overview of several quality tools including brainstorming, check sheets, priority matrices, cause-and-effect diagrams, in-depth analysis, Pareto charts, and flow charts. It describes the purpose, benefits, and basic process for conducting each tool. For brainstorming, it outlines the types, phases, and advantages. For check sheets, it provides an example template. For cause-and-effect diagrams, it shows an example fishbone diagram. And for Pareto charts, it illustrates how to construct one and identify the major causes of issues.
The first requirement for an online mathematics homework engine is to encourage students to practice and reinforce their mathematics skills in ways that are as good or better than traditional paper homework. The use of the computer and the internet should not limit the kind or quality of the mathematics that we teach and if possible it should expand it.
Now that much of the homework practice takes place online we have the potential of a new and much better window into how students learn mathematics but we must continue to ensure that students are studying the mathematics we want to have learned and not just mathematics that is easily gradable. Several of the open source mathematics engines that do this well are represented at this conference.
The WeBWorK mathematics rendering engine started twenty years ago as a stand alone application. Since then homework questions contributed by many, many mathematicians to the OpenProblemLibrary (OPL) have created a collection of over 30,000 Creative Commons licensed problems primarily directed toward calculus but ranging from basic algebra through matrix linear algebra.
I’ll present one of the adaptations of WeBWorK which allows it to render mathematics questions for a standard Moodle quiz in much the same way that STACK functions. Both STACK and WeBWorK vastly increase Moodle’s ability to handle mathematics. Using the Moodle quiz format will make the OPL available to many more educators and allows utilization of Moodle’s facility at collecting student data.
If there is time I’ll show a second adaptation which allows WeBWorK to serve as an assignment type within Moodle. These same mechanisms allow active WeBWorK questions to be embedded in other learning management systems, in interactive textbooks and even HTML pages. This capability fits well with an emerging trend to use smaller, more specialized, inter-operating components for online education.
The document discusses different methods for evaluating the impact of an education program called the Balsakhi program in India. It compares the results of 4 different evaluation methods: 1) pre-post comparison showed a test score gain of 26.42 points, 2) simple difference comparison showed Balsakhi students scored 5.05 points lower, 3) difference-in-differences estimated an impact of 6.82 points, and 4) a regression controlling for covariates estimated an impact of 1.92 points. Randomization was proposed as the best method to construct a valid counterfactual for estimating true program impact.
This document discusses the importance of data collection in the classroom for assessment, accountability, collaboration, problem solving, and providing feedback. It defines what constitutes data and explains that data collection has two components: information gathering and decision making. Several models for data-based decision making are presented for academic and behavioral issues. The document provides tips on how to properly collect objective, measurable baseline data and tips for managing the data collected. It demonstrates how to graph data using different chart types and how to use data to make intervention and instructional decisions.
The document provides an overview of different types of preference assessments, including single stimulus, paired stimulus, and multiple stimulus preference assessments. It describes the procedures for each type of assessment, including how to present stimuli, collect data, and calculate and interpret the results. Single stimulus assessments involve presenting one item at a time while paired stimulus assessments present two items simultaneously. Multiple stimulus assessments present multiple items at once without replacement. The document provides guidance on which type of assessment may be most appropriate based on a learner's abilities and needs.
Beyond Fossil Fuels: Biofuel Opportunities for AfricaXZ3
This document discusses opportunities for renewable energy in Africa beyond fossil fuels. It notes that Africa has low electrification rates and energy consumption. Renewable sources like biomass, hydro, geothermal, wind and solar are discussed. Specific opportunities for biofuels in West Africa are examined. The creation of the African Biofuel and Renewable Energy Fund (ABREF) is proposed to finance biofuel and renewable energy projects, with the goals of contributing to industry development in Africa and providing returns through certified emission reduction credits.
Conversion of Marine Fishing Vessel Diesel Engines for Use with Straight Vege...XZ3
This document discusses converting marine fishing vessel diesel engines to use straight vegetable oil (SVO) as fuel instead of fossil diesel. It provides background on rising oil costs and dependence on imports as motivation. Converting engines is estimated to cost €1500 per engine. Using SVO provides environmental benefits but may currently cost 11-18 cents more per liter than untaxed diesel. Subsidizing SVO to account for its environmental benefits could make it cost competitive across the EU. The conclusion is that promoting SVO use would have political, social, environmental and economic benefits and should be considered a viable alternative to fossil diesel for fishermen.
Breeding Sustainable Energy Crops For The Developing WorldXZ3
This document proposes a research project to develop Jatropha curcas as a sustainable energy crop for developing countries. The goals are to establish a Jatropha germplasm collection, evaluate varieties for yield and other traits, conduct a breeding program to develop improved varieties adapted to marginal lands, and establish Jatropha as a cash crop in Haiti. The project would address Haiti's needs for environmental restoration, economic development, and reduced fuel imports by developing Jatropha as a crop for hillsides and biodiesel production.
The document discusses opportunities for using coconut oil as a biofuel in Pacific Islands. Key points include:
1) Coconut oil can replace or be blended with diesel fuel in engines, providing economic benefits through lower local costs compared to imported diesel.
2) Using coconut oil can support local agro-industries and reduce emissions compared to diesel. However, straight coconut oil requires engine adaptations.
3) Producing biodiesel from coconut oil is more expensive than using straight coconut oil due to chemical processing requirements.
The document provides information about a 2 tank system conversion kit for diesel engines to run on straight vegetable oil (SVO).
The conversion kit contains all the necessary parts to modify the engine, including a second fuel tank, fuel filters, pumps, heat exchanger, sensors and wiring. Detailed instructions and diagrams for installation are also included.
Additional information is given about available second fuel tank models and accessories that can be selected, with pricing. The kit aims to allow operation of the engine according to the included "Vegetable Oil Quality Standard" specifications.
Can It Be Done: I ran my Mercedes on Straight Vegetable Oil XZ3
1) The author has been running his 1980 Mercedes on straight vegetable oil (SVO) for 5 months without issues. Others are surprised that a diesel engine can run on vegetable oil.
2) Rudolph Diesel originally designed diesel engines to run on vegetable oil. The author discusses various types of vegetable-based fuels including SVO, biodiesel (B100), and a B20 blend.
3) Benefits of using vegetable oil over diesel include reducing emissions, being carbon neutral, reducing reliance on oil companies, and saving money on fuel costs. The author provides details on gathering, filtering, and using vegetable oil as fuel.
A Comparison of Liquid Biofuels in Home Heating FurnacesXZ3
A study tested various biofuel blends in home heating furnaces and found that a 20% blend of waste vegetable oil (WVO) performed well and was the first biofuel to be cheaper than petroleum heating oil. Field tests of 20% WVO and soybean oil (SVO) blends found no issues after several months of use. Using less refined plant oils and waste oils reduces biofuel production costs and brings the prices below the petroleum barrier. Future studies are needed on long-term storage stability and delivery issues for biofuel heating to help establish local production in Connecticut.
This document discusses using straight vegetable oil or waste vegetable oil as an alternative fuel to diesel for vehicles. It provides annual savings estimates of using these fuels which include reducing diesel consumption by over 6,800 gallons and $9,221 in savings per year. It also outlines operational questions about how these fuels work and their environmental impacts such as being carbon neutral and reusing a waste product.
Characterization Of Jatropha Curcas L. Seed And Its OilXZ3
The document analyzes the physical properties and composition of Jatropha curcas L. seeds and oil from Argentina and Paraguay. It finds:
1) The seeds have high levels of protein (26.2%) and carbohydrates (56.5%) in the press extraction cake.
2) The oil from both sources is highly unsaturated, with linoleic acid being the most abundant fatty acid (42.6% for Paraguayan oil and 53.3% for Argentinean oil).
3) Both oils have high acidity (26.8 mg KOH/g oil) which prevents direct transesterification for biodiesel production.
Adapting A VW Golf Car For Using Pure Rapeseed Oil As FuelXZ3
This document summarizes research adapting a VW Golf automobile to run on pure rapeseed oil as fuel. Key points:
- A VW Golf with a 1.9L diesel engine was modified using an Elsbett one-tank conversion kit, allowing it to use pure rapeseed oil as fuel.
- Initial tests were conducted in winter conditions down to -7°C. The modified engine started and drove without issues, showing rapeseed oil fuel consumption was slightly higher than diesel but better than biodiesel.
- Component temperature measurements showed the electric fuel heater brought oil temperatures over 60°C within 1.5-1.7 minutes, allowing warm engine operation on rapeseed oil even below
Biodiesel Production from Jatropha curcas Oil Using Potassium CarbonateXZ3
This document summarizes a study on producing biodiesel from Jatropha curcas (JTC) oil using potassium carbonate as an unsupported catalyst. Key findings include:
1) Potassium carbonate produced the least amount of soap compared to other base catalysts and can be recovered from JTC seedcake ash, making it suitable for biodiesel production from JTC oil.
2) The transesterification of JTC oil appeared complete within 15 minutes using 5% potassium carbonate and a 6:1 methanol to oil ratio or 4% potassium carbonate and a 9:1 ratio, both at 60°C.
3) FTIR-ATR analysis was used to monitor the
This document provides links to resources about organic gardening and farming techniques, including manuals on increasing plant yields by 400%, rainwater harvesting, green roofs, straight vegetable oil vehicles, garden therapy for the disabled, volunteering on organic farms in Europe, solar energy training, and eco-friendly coffee bean development projects. The resources aim to educate about city, backyard, and urban farming using organic and sustainable methods.
Diesel -Therm: The Solution for Freezing Problems with BiofuelsXZ3
Diesel-Therm is a fuel preheater that prevents diesel and biodiesel from gelling at low temperatures by warming the fuel before it reaches the filter. It installs directly before the fuel filter and consists of an electric heater, thermostat, and control unit. By keeping the fuel fluid, it avoids clogged filters and ensures reliable engine operation even in very cold conditions without the need for additives. The device has been proven effective and is used by many commercial vehicle manufacturers and operators.
Algae have potential as a feedstock for biofuels because they are photosynthetic and can grow much faster than land crops. Algae can be used to produce biodiesel from algal oil, as well as ethanol, butanol and other biofuels from algal carbohydrates. Algae have advantages over land crops for biofuels in that they do not require arable land, can yield much more energy per acre, and can absorb carbon dioxide from the atmosphere. Several companies are working to scale up algae production and develop cost-effective systems to commercially produce algae-derived fuels and products.
Manod Saini is seeking a professional opportunity where he can contribute and learn. He has experience as a Customer Support Engineer and Assistant Manager - IT. He has professional certifications in CCNP, CCNA, and networking. He has experience managing networks, servers, virtualization, Microsoft technologies, Trend Micro, Cisco technologies including routing, switching, VoIP, and more. He currently works as an Assistant Manager - IT where his responsibilities include managing the network infrastructure, servers, wireless access, backups, and assisting with the help desk.
Ivy worldwide hp womm select program summaryDana Harrold
This document provides summaries of several word-of-mouth marketing initiatives by HP. It describes the 31 Days of the Dragon campaign which sold out a laptop model through blogger giveaways. It also outlines the HP Magic Giveaway campaign which drove brand awareness through a product giveaway encouraged recipients to share with others. Additionally, it summarizes the HP Mini 1000 Vivienne Tam Edition launch which increased consideration of a designer netbook and the Back-to-School Better Together Giveaway that promoted notebook and netbook companion solutions. Finally, it discusses the HP ENVY Local Marketing Events that launched a new notebook line through local influencer events.
Us retail online store customer ratings and reviews full versionDana Harrold
The document summarizes customer reviews and ratings from online stores for several HP notebook series. It finds that HP's G-series notebooks received mostly positive reviews, with display quality and performance being the top liked features. Common complaints were short battery life and touchpad issues. Reviewers requested additional ports and a backlit keyboard. The analysis of online reviews provided insights to help HP improve product messaging, design, and sales.
The document discusses evaluating training programs through various methods. It outlines the goals of evaluation, such as assessing progress, evaluating curriculum and staff, and justifying expenditures. Common myths about evaluation are debunked, such as the ideas that results cannot be measured or that evaluation will lead to criticism. Effective evaluation requires collecting data at different stages using instruments like questionnaires, observations, interviews and performance reviews. The document provides guidance on developing these instruments and conducting evaluations to improve training programs.
The document describes the development of an evaluation tool for educators in the Alaska Gateway School District. It outlines the key components of the evaluation system, including four performance standards (learning environment, planning, instructional delivery, and professionalism), student learning objectives, cultural standards, observations, and other sources of information. It establishes goals for the evaluation process to be streamlined, linked to indicators, supportive of educators, and useful for professional development. Groups of educators will work to determine proficiency indicators within each of the four performance standards by reviewing examples from approved frameworks and choosing those that align with the standard's supporting categories.
From this presentation you will learn how to prioritize decision-making criteria with your team. You need to agree on criteria priorities in order to make decisions together.
Bioscience Laboratory Workforce Skills - part IIbio-link
This document discusses developing core skill standards for bioscience laboratory work. It provides examples of existing skill standard formats and proposes a new format. The new format includes critical work functions, key activities, and performance criteria for each activity. It also suggests developing authentic assessments that require students to complete real-world tasks instead of just knowing information. Groups are asked to brainstorm assessments for sample laboratory tasks. The goal is to develop a consensus skill standard format and identify assessments that ensure students gain the essential skills for bioscience laboratory careers.
This document provides an overview and instructions for using the 7 Quality Control tools: check sheets, stratification, Pareto charts, cause-and-effect (fishbone) diagrams, histograms, control charts, and scatter diagrams. It describes the objective, rules, background and importance of each tool. For each tool, it addresses the purpose, when to use it, procedure, and benefits. The overall goal is to present these tools to address problem solving and quality improvement through structured data collection and analysis.
Hide Assignment InformationTurnitin®This assignment will be SusanaFurman449
Hide Assignment Information
Turnitin®
This assignment will be submitted to Turnitin®.
Instructions
Course objective:
CO2. Explain how ethical frameworks shape business decisions.
Prompt:
Select and research ONE of the following companies that has been in the news for an ethical dilemma. Prepare a PowerPoint about this company's ethical dilemma and resulting ethical failure, according to the following instructions. Sources are provided to assist you getting started (click company name link). You will need to further research the company as well as applicable ethical frameworks and related law in your text and required readings.
NOTE: In preparing this project, refer to your Week 1 Lesson Readings and Resources on ethical frameworks.
CHOOSE ONE OF THESE COMPANIES/ISSUES: The Links are a factual starting point for your information and further research.
1. Boeing - 737 MAX-8 Jet death crashes.
2. Purdue Pharma - opioid crisis, deceptive marketing.
The following resources will also assist your PowerPoint.
· What is Ethical Dilemma?
· Checklist of guidelines when you face ethical dilemmas
· Guidelines to Prepare an APA PowerPoint
· How to Add Speaker Notes in PowerPoint
Assignment Instructions:
1. Create a 12– 15 slide PowerPoint presentation that includes:
· Title slide with your name, course, date, school, title of presentation;
· Agenda slide - This lists the key points covered in the PPT;
· Content slides containing bullet points information with illustrations, diagrams, pictures, graphics etc., as appropriate to the slide's content;
· Speaker's notes on each slide - either text presented in the Speaker Notes section at the bottom of the slides or Audio through your Voice speaking (or both); (Note: Speaker's Notes are not duplication of the text on the slides. They are explanatory narrative.)
2. Identify the company you selected;
· explain the company and its industry;
· provide the factual background of the problem; and
· clearly state the ethical dilemma presented by the situation. There should be only ONE ethical dilemma. The company had two choices: the act it chose and an alternative it did not do.
3. Identify and define at least oneethical framework that the company apparently employed in making its decision. Note -- Not "Should have used." It is not acceptable to say it did not act ethically or did not use a framework. Analyze it. Frameworks include utilitarianism, free market ethics, deontology, virtue ethics , etc., covered in your course readings.
4. Then, identify and define at least oneethical framework that the company should have used when the problem arose, and explain how to apply it for them to have reached a better result than what actually happened. Be clear.
5. Identify and explain measures the company should implement to avoid this type of problem in the future.
6. Within your discussion include whether the company had a code of ethics or policy that seemed to apply to the situation, and if so, what went wrong with that ...
The document provides guidance on creating and using rubrics for grading complex assignments. It defines rubrics as tools that explicitly state criteria for assignments and may be used for grading. The workshop objectives are to describe rubrics, their purpose, types of rubrics, characteristics of good rubrics, and develop a rubric for an assignment. Guidance is provided on creating analytic and holistic rubrics, including identifying criteria and defining performance levels.
The document discusses the process of data preparation for analysis. It involves checking data for accuracy, developing a database structure, entering data into the computer, and transforming data. Key steps include logging incoming data, screening for errors, generating a codebook to document the database structure and variables, entering data using double entry to ensure accuracy, and transforming data through handling missing values, reversing items, calculating scale totals, and collapsing variables into categories.
The document outlines a three-step process for teachers and students at Audenried High School to analyze benchmark data:
1) Teachers access benchmark data through the school district website and create PDFs of class and student performance.
2) Teachers analyze the data to inform instruction by identifying class strengths and weaknesses.
3) Students take ownership of their learning by examining their own performance, setting goals, and creating plans to improve for the next benchmark. Students graph their results over time and store materials in folders.
Cause and Effect Analysis is a technique for identifying all the possible causes (inputs) associated with a particular problem / effect (output) before narrowing down to the small number of main, root causes which need to be addressed.
Qualtrics experts will share with you new advanced methods to measure leadership traits and highlight individual strengths and weaknesses. Multi-rater assessments, 360-degree employee or student feedback provides a holistic view of an individual by gathering feedback from peers, direct reports while comparing the results with their own self evaluation.
Building a Peer Evaluation Program: Best practices for beginners
What is peer evaluation
Why run peer evaluation
Peer evaluation workflow / process
Competencies & items
Reports
What to do with results
Data Driven Decision Making PresentationRussell Kunz
The document discusses how to implement a data-driven decision making process that drives cultural change at community colleges, noting that such a process requires defining value for all stakeholders, collecting and analyzing relevant data to identify issues and root causes, and using the findings to implement changes that are evaluated through post-testing to determine effectiveness.
Microsoft Excel is a spreadsheet program used to record and analyse numerical and statistical data. Microsoft Excel provides multiple features to perform various operations like calculations, pivot tables, graph tools, macro programming, etc.
An Excel spreadsheet can be understood as a collection of columns and rows that form a table. Alphabetical letters are usually assigned to columns, and numbers are usually assigned to rows. The point where a column and a row meet is called a cell.
SPSS (Statistical Package for the Social Sciences) is a versatile and responsive program designed to undertake a range of statistical procedures. SPSS software is widely used in a range of disciplines and is available from all computer pools within the University of South Australia.
DOE is an essential tool to ensure products and processes satisfy Quality by Design requirements imposed by regulatory agencies. Using a QbD approach to develop your testing process can help you reduce waste, meet compliance criteria and get to market faster.
DOE helps you create a reliable QbD process for assessing formula robustness, determining critical quality attributes and predicting shelf life by using a few months of historical data.
Minitab is a statistics package developed at the Pennsylvania State University by researchers Barbara F. Ryan, Thomas A. Ryan, Jr., and Brian L. Joiner in conjunction with Triola Statistics Company in 1972.
It began as a light version of OMNITAB 80, a statistical analysis program by NIST, which was conceived by Joseph Hilsenrath in years 1962-1964 as OMNITAB program for IBM 7090. The documentation for OMNITAB 80 was last published 1986, and there has been no significant development since then.
R is a language and environment for statistical computing and graphics."
"R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering) and graphical techniques, and is highly extensible."
"One of R's strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed.“
Data Management Lab: Data mapping exercise instructionsIUPUI
Spring 2014 Data Management Lab: Session 1 Data mapping exercise instructions (more details at http://ulib.iupui.edu/digitalscholarship/dataservices/datamgmtlab)
What you will learn:
1. Build awareness of research data management issues associated with digital data.
2. Introduce methods to address common data management issues and facilitate data integrity.
3. Introduce institutional resources supporting effective data management methods.
4. Build proficiency in applying these methods.
5. Build strategic skills that enable attendees to solve new data management problems.
Designing and Conducting Formative Evaluationscloder6416
This document provides an overview of formative evaluation and its importance in improving project design. Formative evaluation involves testing a project before or during implementation to ensure needs are being met, feedback is collected, and the design is finalized. It describes different evaluation methods like one-on-one interviews and small group testing that provide early feedback to improve the design. The document emphasizes evaluating in a real-world context and being prepared to identify and address problems to strengthen instruction.
This chapter discusses revising instructional materials based on data collected during formative evaluations, including summarizing data to identify weaknesses and suggesting revisions. The document provides guidance on analyzing data from one-to-one trials, small group trials, and field tests to evaluate learner performance and identify problems, such as with specific content, objectives, or time required to complete materials. Revisions are then made to address issues indicated by the evaluation data.
This document provides tips for fast-tracking a quantitative methodology dissertation, including establishing clear goals and communication with your committee, developing strong research questions and variables of interest, planning an appropriate data collection and analysis strategy using validated instruments and statistical software, and maintaining consistency throughout the process. Key recommendations include running a power analysis, using pre-existing surveys when possible, and having a detailed plan for addressing each research question and analyzing the data. Following these tips can help students efficiently complete the methodology chapter and overall dissertation.
This chapter discusses using a program's logic model to focus an evaluation. It describes how a logic model shows the relationship between inputs, activities, outputs, and outcomes of a program. An evaluation should select which specific elements to evaluate, as evaluating the entire program at once would be impossible.
The chapter outlines three types of evaluation questions - effort, effectiveness, and efficiency. Effort questions relate to inputs and activities, effectiveness questions relate to outputs and outcomes, and efficiency questions relate to costs and benefits. It also discusses process evaluations, which focus on inputs and activities, and outcome evaluations, which focus on outcomes and goals. The document provides guidance on using a logic model to develop evaluation questions to focus an evaluation.
This handout is connected to the Mentoring Program Evaluation & Goals webinar from Monday, May 16, 2011, as part of the free monthly webinar series from Friends for Youth's Mentoring Institute.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Infrastructure Challenges in Scaling RAG with Custom AI modelsZilliz
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
CAKE: Sharing Slices of Confidential Data on BlockchainClaudio Di Ciccio
Presented at the CAiSE 2024 Forum, Intelligent Information Systems, June 6th, Limassol, Cyprus.
Synopsis: Cooperative information systems typically involve various entities in a collaborative process within a distributed environment. Blockchain technology offers a mechanism for automating such processes, even when only partial trust exists among participants. The data stored on the blockchain is replicated across all nodes in the network, ensuring accessibility to all participants. While this aspect facilitates traceability, integrity, and persistence, it poses challenges for adopting public blockchains in enterprise settings due to confidentiality issues. In this paper, we present a software tool named Control Access via Key Encryption (CAKE), designed to ensure data confidentiality in scenarios involving public blockchains. After outlining its core components and functionalities, we showcase the application of CAKE in the context of a real-world cyber-security project within the logistics domain.
Paper: https://doi.org/10.1007/978-3-031-61000-4_16
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
1. The data is coming, the data is coming!
A Self Help Guide to planning an effective Assessment Meeting:
Early Release Days January 31st, February 13th, and March 16th
2. Mapping Team Scenarios
In most situations your mapping team will be in
one of the following three modes:
1. Developing common assessment(s) from
scratch.
2. Modifying an existing common assessment for
alignment with Key Outcomes.
3. Analyzing data from previously administered
common assessments.
3. Based upon your team’s
current status, click on the
most applicable scenario!
Quickly
!
1. Developing common assessment(s) from
scratch.
2. Modifying an existing common
assessment for alignment with Key
Outcomes.
3. Analyzing data from previously
administered common assessments.
4. Developing a CA from Scratch
When developing a common assessment here
are some things to keep in mind. Before the
first question is created, it is important to have
established Key Outcomes/Local Standards.
• To read an explanation of this process click here.
• To view an example visit the Chemistry Master Map
in the District Entity 2006-2007 of Curriculum
Mapper and download the Local Standards located
at the top of August.
*Although you are being provided with the materials necessary to complete this
activity with a mapping team, it has been our experience that it can be
efficiently and accurately completed by the facilitator with Scott and Matt’s
assistance. This can save the group time and allow the mapping team to
focus on minor revisions and the development of test questions.
5. Developing a CA from Scratch – Con’t
Now that your Key Outcomes/Local Standards
are finished and attached to the Master Map,
you are ready to begin developing test
questions. A good resource to share with your
mapping team would be Stiggins’ chart titled,
“Links Among Achievement Targets and
Assessment Methods.” Click here to view.
Stiggins’ document will help the mapping team
determine the appropriate type(s) of assessment
based on what they are assessing.
6. Developing a CA from Scratch – Con’t
The following clip discusses the process the mapping team will engage in to create
their common assessment. Double-click the video to begin.
*Clip courtesy of the Assessment Training Institute
7. Developing a CA from Scratch – Con’t
• Request Members bring sample questions
pertaining to the Key Outcomes to the next
meeting.
• As facilitator, we suggest you monitor how
many questions address each of the standards.
The idea isn’t to have the same number of
questions for each of your standards, but rather
an appropriate number of questions relative to
how much time was devoted to each of the
standards on the map and during instruction.
8. Modifying a Common Assessment
This section is for groups that had
common assessments in place before
local standards (derived from Key
Outcomes) were developed. Now that
you have local standards, you need to
see if your assessments are assessing
what you are teaching!
9. Modifying a Common Assessment
When modifying a common assessment, one of the most
important steps is ensuring that the test questions are aligned
to the course’s Key Outcomes/Local Standards. The following
language was taken from your Boot Camp Binder:
1. Examine the Common Assessments for alignment with Standards
Now that the Standards are complete, it is time to work through the common
assessments to see which questions relate to the different standards. During this
process, the mapping team will determine if all of the questions on the common
assessments fit into one of the standards (i.e. are we testing what we said we would
teach?). If we find a question that does not fit into one of the standards that we
created, there are two options. The first is to add another standard covering that
topic. The second option is to either reword the question to make it more
appropriate, or to get rid of the question all together.
2. Check the Thoroughness of the Common Assessment
It may be a good idea to create a tally sheet of how many questions address each of
the standards. The idea isn’t to have the same number of questions for each of your
standards, but rather an appropriate number of questions relative to how much time
was devoted to each of the standards. The mapping team may decide that some
revision to the common assessment is necessary at this time.
10. Modifying a Common Assessment
Some other things to consider:
• Teacher Feedback – specifically comments regarding
the test format (style of
questions, language, length, etc…) or content issues
(either questions on irrelevant material OR too few or
no questions measuring a specific standard).
• Collected Data (possibly from Mastery Manager) –
please help to ensure that mapping team decisions
are based on data which might include trends or
consensus from the team and are not necessarily
reactionary in nature.
• Please view the Analyzing Data pages that follow for more specific
information.
11. Analyzing Data
Based on careful analysis and
inspection, I have concluded
that gasoline is not necessary
for my current mode of
transportation!
How can we use data to
make meaningful and
informed decisions in regards
to our master maps and
common assessments?
*Audio clip courtesy of Bravenet.com
12. Analyzing Data
• As the facilitator, please remember to take time
to celebrate any accomplishments that may be
encountered when analyzing the data!
• Here are a few things to remember as you
examine data with your mapping team:
• NEVER show teacher or student names to the
group.
• Any changes based on data should be based on
trends or consensus from the team. Avoid rushing
to changes without sufficient evidence.
13. Analyzing Data
There are really Teacher Reflections:
two forms of data •Teachers should be given an
that could be opportunity to share resources and
examined: reflections that have been documented
teacher reflections on their diary maps.
and/or
assessment data. •Teachers may have comments on how
thoroughly the assessment measured
what was taught as described on the
master map.
14. Analyzing Data
Assessment Data
If your group gave a common assessment using Mastery
Manager, here are some resources to help you
successfully show them some of the results.
• Please remember to avoid showing teacher or student names on any
reports that you choose.
Begin by logging onto the Mastery Manager website.
• Remember that your login is the first portion of your e-mail address (Ex. jhawk)
and your default password was/is: chsd155
We strongly urge you to change your password ASAP to help protect the
confidentiality of the data!
15. Analyzing Data
Generating Reports
• Locate the name of the assessment that you plan
on examining in the list of assessments.
• Click on the Reports Button on the right side of the
screen.
• A new screen will appear allowing you to choose
many different ways to display your data. In order
to show the test results for ALL students taking the
assessment lumped together, please follow the
directions on the next page!
16. Analyzing Data
#1 - Choose the #2 - Leave
“All Teachers” this on
choice at the top “Combined
of the list. Selected
Sections.”
#4 - Click on
#3 - Choose the
Generate Reports
“All Sections”
to gain access to
choice at the top
the data reports.
of the list.
17. Analyzing Data
After choosing “All Teachers” and “All Sections” and clicking on the generate reports
button, this screen appears allowing you access to a variety of reports.
This reminds you of the
assessment which you
are examining.
The Item Analysis report is a
great report for any
assessment that does not
yet have local standards
linked to test questions.
The Item Analysis by
Learning Objective report is a
great report for assessments
that have established local
standards and have them
linked to test questions. Please remember not to
show any reports that
display teacher or student
names!
Also, please only show
reports that you are
familiar with to avoid
accidentally showing a
report that may embarrass
a colleague.
18. Analyzing Data
If your common assessment does not currently have
local standards assigned to test questions, then the
most relevant report would most likely be the Item
Analysis report. This report shows information on how
students responded to all multiple choice questions.
Please remember that by selecting all teachers and all
sections this combines data for all teachers that gave
this common assessment.
It is possible to attach local standards to questions in
Mastery Manager even after you have given the test.
Once this is done, new reports with more detailed
information will also become available without the need
to re-scan any student answer sheets.
19. Analyzing Data
Sample Size
Remember, this shows This column shows
combined data for all statistically how difficult
teachers giving this the question was. The
common assessment. number relates to the
percentage of students
This area shows the that got the question
number of students correct. Anything
that chose each highlighted in red
response as well as means that less than
the corresponding 50% of the students got
percentage. Green that question correct.
represents what the
correct answer was
while yellow
Average Number of students leaving
represents the most
score on the the question blank.
commonly chosen
incorrect answer. assessment. Number & % of students that
received a multimark answer (most
commonly from poor erasing).
20. Analyzing Data
If your common assessment does have local
standards attached to its test questions, then
another report will offer some very detailed
information for your mapping team. Please
check out the Item Analysis by Learning
Objective report. This report breaks the test
into pieces showing how students performed on
questions related to each of the local standards.
Hear ye, hear ye! The question, “How
do I know if my students have
learned it?” has been answered!
21. Analyzing Data
Displays the standard being
measured, the percentage of
students mastering this
The Mastery Cut Score standard, and which test
refers to the percentage a questions were specifically
student must earn to aligned with this standard.
demonstrate mastery. Displays the Item Analysis for all of
the questions measuring this
standard.
If 70% of students or more
master the standard, this bar
will be green. If 50-69%
master the standard it will be
yellow. It less than 50%
master the standard, the bar
will be red.
22. In Closing…
Thanks for your hard work and
leadership! Your efforts on the
front lines have allowed us to move
forward and improve instruction
and assessment for all our
students! Remember it’s about
answering the question, “How will
we know if our students have
learned what our mapping teams
have determined as important to
the course?”
Keep up the good work! If you
have any questions or need any
assistance, please don’t hesitate
to contact:
Scott Kubelka 455.8500 x31
Matt Timmerman 455.8500 x43