Carl Reid is a software engineer with experience implementing machine learning and data aggregation software in Python, Swift, and Javascript. He has a B.S. in Computer & Information Science from the University of Oregon and has worked as a grader, research assistant, and software engineer. Reid enjoys data analysis, statistics, networks, and network security. He is looking for new challenges in system implementation.
2018 Library Assessment Conference: How many seats do we need in our library?brightspot
Elliot Felix and Martha Kyrillidou (QualityMetrics, LLC) presented “How Many Seats Do We Need in Our Library? A New Utilization-Based Forecasting Model”
EAD and Its Implications in an M.ICT Graduate's Early CareerRichard
This document discusses Richard Wenchao He's experience applying concepts from his Master of Information and Communication Technology degree to various IT-related jobs. It outlines his education and work history in IT and how concepts from Enterprise Architecture Development helped him address challenges in projects involving e-learning evaluation, research reporting, and developing an online educational program. These concepts helped improve processes, streamline tasks, and address limitations in resources, personnel, and existing frameworks.
Regan McMurray has a Bachelor's degree in Mathematics from Brigham Young University with a 3.46 GPA. She has worked at Eastman Chemical Company creating predictive models to increase safety and analyzing permit renewal data. As an intern at Intermountain Healthcare, she built models to predict patient bad debt and studied sepsis patients. Her experience also includes tutoring, assisting professors, and supervising a busy campus math lab. She founded a student advisory council and mentored sixth graders in her free time.
The document discusses an EduGuide web application that would help students make decisions during the college admissions process. It would maintain a profile for each student based on their application results, run them through an analytics engine to predict college fit, and provide recommendations. Data would be collected from various sources and displayed on a live feed. The application aims to provide an affordable alternative to private college counselors and be free for students to encourage cooperation. Potential monetization strategies include banner ads, affiliate marketing, and sponsorships from related education companies.
Learning context is all you need for task general artificial intelligenceLibgirlTeam
The document discusses the limitations of task-specific machine learning systems and proposes that learning context is all that is needed for task-general artificial intelligence (AI). It argues that a single machine learning model that can learn to distinguish an unbounded amount of contexts and provide output accordingly would be a task-general AI. It reviews related works on context-sensitive language models and models that can learn long-range contextual dependencies. The document suggests further investigating task-specific vs. task-general AI and AI vs. artificial general intelligence (AGI).
International Journal on Computational Science & Applications (IJCSA)ijcsa
International Journal on Computational Science & Applications (IJCSA) is a Bi-monthly peer-reviewed and refereed open access journal that publishes articles which contribute new results in all areas of the Computational Science & Applications. Computational science is interdisciplinary fields in which mathematical models are combined with scientific computing methods to study of a wide range of problems in science and engineering. Modeling and simulation tools find increasing applications not only in fundamental research, but also in real-world design and industry applications.
Carl Reid is a software engineer with experience implementing machine learning and data aggregation software in Python, Swift, and Javascript. He has a B.S. in Computer & Information Science from the University of Oregon and has worked as a grader, research assistant, and software engineer. Reid enjoys data analysis, statistics, networks, and network security. He is looking for new challenges in system implementation.
2018 Library Assessment Conference: How many seats do we need in our library?brightspot
Elliot Felix and Martha Kyrillidou (QualityMetrics, LLC) presented “How Many Seats Do We Need in Our Library? A New Utilization-Based Forecasting Model”
EAD and Its Implications in an M.ICT Graduate's Early CareerRichard
This document discusses Richard Wenchao He's experience applying concepts from his Master of Information and Communication Technology degree to various IT-related jobs. It outlines his education and work history in IT and how concepts from Enterprise Architecture Development helped him address challenges in projects involving e-learning evaluation, research reporting, and developing an online educational program. These concepts helped improve processes, streamline tasks, and address limitations in resources, personnel, and existing frameworks.
Regan McMurray has a Bachelor's degree in Mathematics from Brigham Young University with a 3.46 GPA. She has worked at Eastman Chemical Company creating predictive models to increase safety and analyzing permit renewal data. As an intern at Intermountain Healthcare, she built models to predict patient bad debt and studied sepsis patients. Her experience also includes tutoring, assisting professors, and supervising a busy campus math lab. She founded a student advisory council and mentored sixth graders in her free time.
The document discusses an EduGuide web application that would help students make decisions during the college admissions process. It would maintain a profile for each student based on their application results, run them through an analytics engine to predict college fit, and provide recommendations. Data would be collected from various sources and displayed on a live feed. The application aims to provide an affordable alternative to private college counselors and be free for students to encourage cooperation. Potential monetization strategies include banner ads, affiliate marketing, and sponsorships from related education companies.
Learning context is all you need for task general artificial intelligenceLibgirlTeam
The document discusses the limitations of task-specific machine learning systems and proposes that learning context is all that is needed for task-general artificial intelligence (AI). It argues that a single machine learning model that can learn to distinguish an unbounded amount of contexts and provide output accordingly would be a task-general AI. It reviews related works on context-sensitive language models and models that can learn long-range contextual dependencies. The document suggests further investigating task-specific vs. task-general AI and AI vs. artificial general intelligence (AGI).
International Journal on Computational Science & Applications (IJCSA)ijcsa
International Journal on Computational Science & Applications (IJCSA) is a Bi-monthly peer-reviewed and refereed open access journal that publishes articles which contribute new results in all areas of the Computational Science & Applications. Computational science is interdisciplinary fields in which mathematical models are combined with scientific computing methods to study of a wide range of problems in science and engineering. Modeling and simulation tools find increasing applications not only in fundamental research, but also in real-world design and industry applications.
Italian family life remains very traditional, with men contributing little to household duties and childcare, while boys are given more freedom than girls. Business etiquette in northern Italy is more direct and focused on efficiency, while the southern style is more leisurely and relationship-focused, with haggling over deals common. The document provides a 38-slide PowerPoint presentation on various aspects of Italian culture such as family life, food, etiquette, travel tips, and trivia.
ICT Development in Kyrgyzstan - Presentation for University of WashingtonBolot Bazarbaev
The document discusses information and communication technology (ICT) development in Kyrgyzstan. It provides an overview of the current situation of ICT and telecommunications in the country, including government policies to support the industry and statistics on mobile, internet, and fixed telephone access. The document outlines Kyrgyzstan's goals to modernize its telecommunications network through projects that expand telephone access to rural areas, install fiber optic infrastructure, and advance the overall development of the technology industry in support of an information society.
This document discusses methods for assessing manipulative performance, including rubrics, checklists, progress charts, and performance tests. It provides guidelines for developing and administering performance tests, such as ensuring the tasks are typical and adequately practiced, involve multiple skills, and can be completed in one class period. Key aspects to measure include speed, quality, procedure, and product. Rules for checklists include making them simple to use and balancing the weight of checklist items. A rubric should clearly differentiate performance levels and incorporate quality scales.
Mergers and acquisitions involve combining two companies to capitalize on their mutual strengths and synergies. A merger unifies two similar companies, while an acquisition involves a larger company purchasing a smaller one. These strategies allow companies to scale up operations, gain market share, and leverage each other's expertise and resources. Key considerations for mergers and acquisitions include ensuring strategic fit, capitalizing on synergies, evaluating market opportunities, and creating long-term value for stakeholders. Comprehensive planning is required for integration activities like financial modeling, governance, HR strategy, and marketing.
The document discusses design-driven development and human interactions with enterprise applications and knowledge. It describes how interactions have evolved from paper to desktop PCs to mobile/tablet devices. It advocates for a design-driven development approach where user needs are observed and used to design solutions, rather than starting with technical specifications. The document also outlines Adobe's role in designing, developing, managing content, and analyzing enterprise applications.
The document summarizes a research roadmap for future enterprise information systems (FInES) through 2025. It outlines four knowledge spaces: (1) socio-economic, (2) enterprises, (3) enterprise systems, and (4) enabling technologies. For each space, it identifies research challenges. The roadmap provides a vision of future internet-based enterprises and enterprise systems that are humanistic, agile, cognitive, sensing, community-oriented, and sustainable. It also discusses new approaches to enterprise governance, knowledge management, and flexible engineering of proactive and autonomous enterprise systems.
This document takes the reader on a journey through scales of size from 1 meter to distances of billions of light years and back down to fractions of an atom. It explores scales from the macrocosm of the universe down to the microcosm inside an atom in factors of 10. At each level of magnitude, it describes what can be observed, from leaves on a tree to galaxies and nebulae or atomic structures. It encourages thinking about humanity's place in the vast cosmos and how much remains to be learned.
Making Sense of Lecture Capture: A Case Study of Peer and Teacher InfluenceIlkka Kukkonen
This document summarizes findings from a case study on how teacher and peer influence can help students make sense of lecture capture videos. The study examined 14 student pairs viewing two statistics videos and answering questions. It found that teacher actions like highlighting and examples accelerated learning by prompting students to extract important cues. While imitating the teacher did not lead to better performance, studying first and then solving example problems did. Peer questioning and feedback also disrupted ongoing sensemaking in a way that led to deeper understanding through revision. The conclusions indicate that teacher and peer interactions are significant stimuli for guiding students to find meaningful explanations in difficult video content.
The document discusses various aspects of Cuban culture including family life, social etiquette, business etiquette, and trivia. It notes that in Cuba, men are expected to be breadwinners while women can work in various professions but are still responsible for housework and childcare. Cuban social etiquette values generosity and hospitality with open houses and welcoming of visitors. Business meetings involve small talk initially and it is acceptable to interrupt others while speaking.
The document discusses implementing a drug-free workplace and includes sections on assessing workplace alcohol and drug problems, the steps to becoming a drug-free workplace, emphasizing the benefits of a drug-free program, and safe celebrations in the office. It also provides a download link for a PowerPoint presentation with over 100 slides on various topics related to addressing alcohol and drugs in the workplace such as developing policies and training supervisors and employees.
Baxter Ranch was featured in the 2009 Tour of Homes. The document provides a brief description of Baxter Ranch and its inclusion in the 2009 home tour event. In 3 sentences or less, the document discusses Baxter Ranch being included in the Tour of Homes for that year.
Data Mining Protein Structures' Topological Properties to Enhance Contact Ma...jaumebp
1. The document discusses a contact map prediction method that was one of the top performers in CASP8. It uses topological properties of proteins like recursive convex hulls along with machine learning to predict contacts.
2. The method was tested on CASP8 targets, achieving high accuracy scores. Analysis of the predictive rules provided insights into which features were most important.
3. While performance was good, there is still room for improvement, such as better ranking of predictions or using correlated mutations. The contact map prediction approach is valuable as in CASP8 it was competitive with methods using 3D structure prediction.
5/25/2020 Rubric Detail – 31228.202030
https://ucumberlands.blackboard.com/webapps/rubric/do/course/gradeRubric?mode=grid&isPopup=true&rubricCount=1&prefix=_843783_1&course_i… 1/4
Rubric Detail
A rubric lists grading criteria that instructors use to evaluate student work. Your instructor linked a rubric to this item
and made it available to you. Select Grid View or List View to change the rubric's layout.
Show Descriptions Show Feedback
Name: ITS836 (8 Week) Research Paper Rubric
Description: Please use this rubric for grading research papers
Exit
Grid View List View
No requirements are met
Includes a few of the required components as speci�ed in the assignment.
Includes some of the required components as speci�ed in the assignment.
Includes most of the required components as speci�ed in the assignment.
Includes all of the required components as speci�ed in the assignment.
Requirements
--
No Evidence 0 (0.00%) points
Limited Evidence 3 (3.00%) points
Below Expectations 7 (7.00%) points
Approaches Expectations 11 (11.00%) points
Meets Expectations 15 (15.00%) points
Fails to provide enough content to show a demonstration of knowledge
Major errors or omissions in demonstration of knowledge.
Some signi�cant but not major errors or omissions in demonstration of knowledge.
A few errors or omissions in demonstration of knowledge.
Demonstrates strong or adequate knowledge of the materials; correctly represents knowledge
from the readings and sources.
Content
--
No Evidence 0 (0.00%) points
Limited Evidence 3 (3.00%) points
Below Expectations 7 (7.00%) points
Approaches Expectations 11 (11.00%) points
Meets Expectations 15 (15.00%) points
5/25/2020 Rubric Detail – 31228.202030
https://ucumberlands.blackboard.com/webapps/rubric/do/course/gradeRubric?mode=grid&isPopup=true&rubricCount=1&prefix=_843783_1&course_i… 2/4
g
Fails to provide a critical thinking analysis and interpretation
Major errors or omissions in analysis and interpretation.
Some signi�cant but not major errors or omissions in analysis and interpretation.
A few errors or omissions in analysis and interpretation.
Provides a strong critical analysis and interpretation of the information given.
Critical Analysis
--
No Evidence 0 (0.00%) points
Limited Evidence 5 (5.00%) points
Below Expectations 10 (10.00%) points
Approaches Expectations 15 (15.00%) points
Meets Expectations 20 (20.00%) points
Fails to demonstrate problem solving.
Major errors or omissions in problem solving.
Some signi�cant but not major errors or omissions in problem solving.
A few errors or omissions in problem solving.
Demonstrates strong or adequate thought and insight in problem solving.
Problem Solving
--
No Evidence 0 (0.00%) points
Limited Evidence 5 (5.00%) points
Below Expectations 10 (10.00%) points
Approaches Expectations 15 (15.00%) points
Meets Expectations 20 (20.00%) points
Source or example selection and integration of knowledge.
PIAAC Session at COABE 2015_Jill Castek PresentationAIRPIAAC
Powerpoint slides from Jill Castek's presentation at COABE 2015 Conference on "Using PIAAC's Education and Skills Online to Examine Adults' Skills Locally".
Italian family life remains very traditional, with men contributing little to household duties and childcare, while boys are given more freedom than girls. Business etiquette in northern Italy is more direct and focused on efficiency, while the southern style is more leisurely and relationship-focused, with haggling over deals common. The document provides a 38-slide PowerPoint presentation on various aspects of Italian culture such as family life, food, etiquette, travel tips, and trivia.
ICT Development in Kyrgyzstan - Presentation for University of WashingtonBolot Bazarbaev
The document discusses information and communication technology (ICT) development in Kyrgyzstan. It provides an overview of the current situation of ICT and telecommunications in the country, including government policies to support the industry and statistics on mobile, internet, and fixed telephone access. The document outlines Kyrgyzstan's goals to modernize its telecommunications network through projects that expand telephone access to rural areas, install fiber optic infrastructure, and advance the overall development of the technology industry in support of an information society.
This document discusses methods for assessing manipulative performance, including rubrics, checklists, progress charts, and performance tests. It provides guidelines for developing and administering performance tests, such as ensuring the tasks are typical and adequately practiced, involve multiple skills, and can be completed in one class period. Key aspects to measure include speed, quality, procedure, and product. Rules for checklists include making them simple to use and balancing the weight of checklist items. A rubric should clearly differentiate performance levels and incorporate quality scales.
Mergers and acquisitions involve combining two companies to capitalize on their mutual strengths and synergies. A merger unifies two similar companies, while an acquisition involves a larger company purchasing a smaller one. These strategies allow companies to scale up operations, gain market share, and leverage each other's expertise and resources. Key considerations for mergers and acquisitions include ensuring strategic fit, capitalizing on synergies, evaluating market opportunities, and creating long-term value for stakeholders. Comprehensive planning is required for integration activities like financial modeling, governance, HR strategy, and marketing.
The document discusses design-driven development and human interactions with enterprise applications and knowledge. It describes how interactions have evolved from paper to desktop PCs to mobile/tablet devices. It advocates for a design-driven development approach where user needs are observed and used to design solutions, rather than starting with technical specifications. The document also outlines Adobe's role in designing, developing, managing content, and analyzing enterprise applications.
The document summarizes a research roadmap for future enterprise information systems (FInES) through 2025. It outlines four knowledge spaces: (1) socio-economic, (2) enterprises, (3) enterprise systems, and (4) enabling technologies. For each space, it identifies research challenges. The roadmap provides a vision of future internet-based enterprises and enterprise systems that are humanistic, agile, cognitive, sensing, community-oriented, and sustainable. It also discusses new approaches to enterprise governance, knowledge management, and flexible engineering of proactive and autonomous enterprise systems.
This document takes the reader on a journey through scales of size from 1 meter to distances of billions of light years and back down to fractions of an atom. It explores scales from the macrocosm of the universe down to the microcosm inside an atom in factors of 10. At each level of magnitude, it describes what can be observed, from leaves on a tree to galaxies and nebulae or atomic structures. It encourages thinking about humanity's place in the vast cosmos and how much remains to be learned.
Making Sense of Lecture Capture: A Case Study of Peer and Teacher InfluenceIlkka Kukkonen
This document summarizes findings from a case study on how teacher and peer influence can help students make sense of lecture capture videos. The study examined 14 student pairs viewing two statistics videos and answering questions. It found that teacher actions like highlighting and examples accelerated learning by prompting students to extract important cues. While imitating the teacher did not lead to better performance, studying first and then solving example problems did. Peer questioning and feedback also disrupted ongoing sensemaking in a way that led to deeper understanding through revision. The conclusions indicate that teacher and peer interactions are significant stimuli for guiding students to find meaningful explanations in difficult video content.
The document discusses various aspects of Cuban culture including family life, social etiquette, business etiquette, and trivia. It notes that in Cuba, men are expected to be breadwinners while women can work in various professions but are still responsible for housework and childcare. Cuban social etiquette values generosity and hospitality with open houses and welcoming of visitors. Business meetings involve small talk initially and it is acceptable to interrupt others while speaking.
The document discusses implementing a drug-free workplace and includes sections on assessing workplace alcohol and drug problems, the steps to becoming a drug-free workplace, emphasizing the benefits of a drug-free program, and safe celebrations in the office. It also provides a download link for a PowerPoint presentation with over 100 slides on various topics related to addressing alcohol and drugs in the workplace such as developing policies and training supervisors and employees.
Baxter Ranch was featured in the 2009 Tour of Homes. The document provides a brief description of Baxter Ranch and its inclusion in the 2009 home tour event. In 3 sentences or less, the document discusses Baxter Ranch being included in the Tour of Homes for that year.
Data Mining Protein Structures' Topological Properties to Enhance Contact Ma...jaumebp
1. The document discusses a contact map prediction method that was one of the top performers in CASP8. It uses topological properties of proteins like recursive convex hulls along with machine learning to predict contacts.
2. The method was tested on CASP8 targets, achieving high accuracy scores. Analysis of the predictive rules provided insights into which features were most important.
3. While performance was good, there is still room for improvement, such as better ranking of predictions or using correlated mutations. The contact map prediction approach is valuable as in CASP8 it was competitive with methods using 3D structure prediction.
5/25/2020 Rubric Detail – 31228.202030
https://ucumberlands.blackboard.com/webapps/rubric/do/course/gradeRubric?mode=grid&isPopup=true&rubricCount=1&prefix=_843783_1&course_i… 1/4
Rubric Detail
A rubric lists grading criteria that instructors use to evaluate student work. Your instructor linked a rubric to this item
and made it available to you. Select Grid View or List View to change the rubric's layout.
Show Descriptions Show Feedback
Name: ITS836 (8 Week) Research Paper Rubric
Description: Please use this rubric for grading research papers
Exit
Grid View List View
No requirements are met
Includes a few of the required components as speci�ed in the assignment.
Includes some of the required components as speci�ed in the assignment.
Includes most of the required components as speci�ed in the assignment.
Includes all of the required components as speci�ed in the assignment.
Requirements
--
No Evidence 0 (0.00%) points
Limited Evidence 3 (3.00%) points
Below Expectations 7 (7.00%) points
Approaches Expectations 11 (11.00%) points
Meets Expectations 15 (15.00%) points
Fails to provide enough content to show a demonstration of knowledge
Major errors or omissions in demonstration of knowledge.
Some signi�cant but not major errors or omissions in demonstration of knowledge.
A few errors or omissions in demonstration of knowledge.
Demonstrates strong or adequate knowledge of the materials; correctly represents knowledge
from the readings and sources.
Content
--
No Evidence 0 (0.00%) points
Limited Evidence 3 (3.00%) points
Below Expectations 7 (7.00%) points
Approaches Expectations 11 (11.00%) points
Meets Expectations 15 (15.00%) points
5/25/2020 Rubric Detail – 31228.202030
https://ucumberlands.blackboard.com/webapps/rubric/do/course/gradeRubric?mode=grid&isPopup=true&rubricCount=1&prefix=_843783_1&course_i… 2/4
g
Fails to provide a critical thinking analysis and interpretation
Major errors or omissions in analysis and interpretation.
Some signi�cant but not major errors or omissions in analysis and interpretation.
A few errors or omissions in analysis and interpretation.
Provides a strong critical analysis and interpretation of the information given.
Critical Analysis
--
No Evidence 0 (0.00%) points
Limited Evidence 5 (5.00%) points
Below Expectations 10 (10.00%) points
Approaches Expectations 15 (15.00%) points
Meets Expectations 20 (20.00%) points
Fails to demonstrate problem solving.
Major errors or omissions in problem solving.
Some signi�cant but not major errors or omissions in problem solving.
A few errors or omissions in problem solving.
Demonstrates strong or adequate thought and insight in problem solving.
Problem Solving
--
No Evidence 0 (0.00%) points
Limited Evidence 5 (5.00%) points
Below Expectations 10 (10.00%) points
Approaches Expectations 15 (15.00%) points
Meets Expectations 20 (20.00%) points
Source or example selection and integration of knowledge.
PIAAC Session at COABE 2015_Jill Castek PresentationAIRPIAAC
Powerpoint slides from Jill Castek's presentation at COABE 2015 Conference on "Using PIAAC's Education and Skills Online to Examine Adults' Skills Locally".
Search Engines in the fight against Institutional ImpecuniousnessIWMW
Plenary talk given by David Hawking at The Institutional Web Management Workshop 2011, held at the University of Reading from Tuesday 26th to Wednesday 27th July 2011.
The document discusses strategies and technologies for comprehensive assessment programs in academic libraries. It provides examples from Cowles Library at Drake University which structured its assessment process around a data repository, training programs, and linking goals to measurable outcomes. Assessment activities at Cowles led to changes like redesigning service areas and increasing resources in high-need fields based on user survey feedback. The document advocates for libraries to systematically assess user needs and integrate findings into strategic planning to demonstrate their value.
Cst analysis overview sdusd princ 11-16-10cesperez1
The document introduces a multi-step process for teachers to better understand academic standards. The process involves analyzing released items from state standardized tests and local benchmark assessments, identifying student strengths and weaknesses, and examining student work. Breakout groups were given examples to analyze items, assess student performance data, compare item rigor, and determine next steps for instruction. The goal is to help teachers unpack standards through the lens of assessment and apply insights to guide student learning.
Learning Analytics Primer: Getting Started with Learning and Performance Anal...Watershed
Navigating the scope of disruptive analytics solutions to deliver maximum impact. Learn more about the importance of scalable learning in organizations that want to embrace an environment of continuous improvement. Mike Rustici provides a workshop on the five steps to get started with learning and performance analytics. Ranging from gathering your data using methods like experience API, to setting metrics and evaluating impact of learning programs.
- Within the next 2-3 years, Virginia Tech plans to continue using LEAP essential learning outcomes and authentic assessment while also shifting to more qualitative measures and balancing quantitative measures.
- Looking further out, Virginia Tech will explore emerging trends like learning analytics and degree qualifications profiles, keeping an eye on transparency frameworks and calls to redefine higher education and assessment.
- In the long term, Virginia Tech may see assessment transformed by advances like artificial intelligence, augmented intelligence, and a possible social network for networked, personalized assessment across departments and institutions.
The document discusses strategies for using student performance data from Smarter Balanced Assessments (SBA) to improve instruction. It provides an overview of 2014 SBA field test results and how claims and targets relate to Common Core standards. The document also discusses using interim assessments and digital resources to monitor progress, identify gaps, and promote instructional shifts. Scoring reports and family reports are demonstrated to help analyze results at student, class, and subgroup levels.
Bb Education on Tour | Blackboard Learning Analytics | Chris Eske, Platform S...Blackboard APAC
This document discusses using analytics to drive continual improvement and catalyze change in higher education. It provides examples of how analytics can be used to measure learning outcomes, analyze the costs and effectiveness of instruction, and inform decisions to improve student performance and success. The document advocates asking questions of the data, digging deeper into analyses, and using metrics and insights to take action and measure progress.
Planning your analytics journey - webinar slidesSprout Labs
This document discusses how learning and development professionals can become more data-driven. It defines key terms like learning data and analytics. It explores how to collect and analyze different types of data, including learner behavior, assessments, and business outcomes. The document also discusses emerging approaches like machine learning and artificial intelligence. It provides examples of how data can be used to personalize learning, make predictions, and gain insights to improve performance. Overall, the document promotes taking a more experimental and iterative approach to learning design and using data to continuously improve programs and their impact on business metrics.
1. The document discusses the prospects for using learning analytics to achieve adaptive learning models. It describes adaptive learning and different levels of adaptive technologies, including platforms that react to individual user data and those that leverage aggregated data across users.
2. It outlines the pathway to achieving adaptive learning analytics, including using LMS analytics dashboards, predictive analytics, and adaptive learning analytics. Case studies and examples of existing applications are provided.
3. A proof of concept reference model for learning analytics is proposed, including a basic analytics process and an advanced process using predictive and adaptive algorithms. Linked open data for connecting curriculum standards and digital resources is also discussed.
Talis Insight Asia-Pacific 2018 - Craig Milne and Kelly Johson, Griffith Univ...Talis
This document discusses Griffith University's use of reading list data from their Talis platform to improve management of electronic resources and drive cultural changes. Key points:
- Griffith implemented trimesters in 2017, complicating management of reading lists across multiple time periods.
- Their Talis platform rolls over reading lists each trimester but they clean, analyze, and transform the data using Excel and Tableau to calculate metrics like the percentage of required readings available online.
- This has helped them target conversion of print to electronic resources, identify issues if databases were cancelled, and get a better understanding of resource use to influence selection practices.
- Future goals include providing dashboard access to the data, analyzing usage at the school
This document discusses using education metadata standards like LRMI (Learning Resource Metadata Initiative) to make instructional resources more discoverable. It provides an overview of the LRMI fields of metadata like general information, education specifics, alignments to standards, and examples of how resources can be tagged. Attendees participated in a hands-on activity to tag sample resources using LRMI fields in order to make the content more searchable based on criteria like standards, age, and type. Questions from educators are addressed, and how publishers and organizations can get involved with the metadata standards is discussed.
This document summarizes a workshop on social information retrieval for technology-enhanced learning (SIRTEL09). The workshop aims to influence the state-of-the-art in SIRTEL research through development efforts and feedback. The program includes presentations on recommender systems in technology-enhanced learning, SIRTEL challenges for 2020, resource sharing in social media, collaborative and semantic information retrieval for learning, self-organization and social tagging, and task patterns to support social software engineering.
Wsu Greg Lobdell September 2008 Data And Decision MakingWSU Cougars
The document summarizes research on schools that have shown significant improvement in student achievement over time, known as "Schools of Distinction." The research identified several common characteristics among these schools. They exhibited a culture of high expectations for students, strong collaboration among staff, stable leadership focused on instruction, and frequent use of data to personalize teaching and target interventions. The schools also invested in ongoing professional development for teachers and monitored school improvement plans regularly.
The document discusses the ICT Capabilities surveys and continuum, which were developed to benchmark teachers' and schools' ICT capabilities and assist with ongoing professional learning planning in ICT. The surveys can help teachers, non-teaching staff, principals, and regional directors develop individual and whole-school ICT plans by indicating strengths and areas for growth. The ePotential website provides resources and guidance for using the surveys and continuum as strategic tools to improve teaching and learning over time at individual, school, and statewide levels.
Presentation on Teaching Quantitative Methods using Excel workbook courseware. -- at the 25th International Conference on Technology in Collegiate Mathematics, Boston, March 21 - 24, 2013. A Pearson Education event.
The document discusses the importance of program evaluation for transition educators and service providers. It provides examples of evaluation tools that can be used to evaluate different aspects of transition programs, including student development, interagency collaboration, family involvement, program structures, and team performance. Examples of evaluation tools include pre-post tests, questionnaires, self-assessments, and discussion questions. Criteria for effective evaluation include having specific, measurable goals and indicators to assess outcomes. Barriers to evaluation such as lack of resources or support are also addressed.
Similar to Relevance Ranking of Learning Objects (20)
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
Trusted Execution Environment for Decentralized Process MiningLucaBarbaro3
Presentation of the paper "Trusted Execution Environment for Decentralized Process Mining" given during the CAiSE 2024 Conference in Cyprus on June 7, 2024.
A Comprehensive Guide to DeFi Development Services in 2024Intelisync
DeFi represents a paradigm shift in the financial industry. Instead of relying on traditional, centralized institutions like banks, DeFi leverages blockchain technology to create a decentralized network of financial services. This means that financial transactions can occur directly between parties, without intermediaries, using smart contracts on platforms like Ethereum.
In 2024, we are witnessing an explosion of new DeFi projects and protocols, each pushing the boundaries of what’s possible in finance.
In summary, DeFi in 2024 is not just a trend; it’s a revolution that democratizes finance, enhances security and transparency, and fosters continuous innovation. As we proceed through this presentation, we'll explore the various components and services of DeFi in detail, shedding light on how they are transforming the financial landscape.
At Intelisync, we specialize in providing comprehensive DeFi development services tailored to meet the unique needs of our clients. From smart contract development to dApp creation and security audits, we ensure that your DeFi project is built with innovation, security, and scalability in mind. Trust Intelisync to guide you through the intricate landscape of decentralized finance and unlock the full potential of blockchain technology.
Ready to take your DeFi project to the next level? Partner with Intelisync for expert DeFi development services today!
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...Tatiana Kojar
Skybuffer AI, built on the robust SAP Business Technology Platform (SAP BTP), is the latest and most advanced version of our AI development, reaffirming our commitment to delivering top-tier AI solutions. Skybuffer AI harnesses all the innovative capabilities of the SAP BTP in the AI domain, from Conversational AI to cutting-edge Generative AI and Retrieval-Augmented Generation (RAG). It also helps SAP customers safeguard their investments into SAP Conversational AI and ensure a seamless, one-click transition to SAP Business AI.
With Skybuffer AI, various AI models can be integrated into a single communication channel such as Microsoft Teams. This integration empowers business users with insights drawn from SAP backend systems, enterprise documents, and the expansive knowledge of Generative AI. And the best part of it is that it is all managed through our intuitive no-code Action Server interface, requiring no extensive coding knowledge and making the advanced AI accessible to more users.
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.
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...alexjohnson7307
Predictive maintenance is a proactive approach that anticipates equipment failures before they happen. At the forefront of this innovative strategy is Artificial Intelligence (AI), which brings unprecedented precision and efficiency. AI in predictive maintenance is transforming industries by reducing downtime, minimizing costs, and enhancing productivity.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
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.