The FACT2 Learning Analytics Task Group report summarizes their work in 2013-2014. Their goals were to develop professional learning for faculty on learning analytics and identify best practices. In fall 2013, they presented findings at several SUNY conferences on using data to enhance student experience. A spring 2014 pilot at SUNY Oswego used a retention system called Starfish for nearly 1,000 at-risk students. The task group defined learning analytics as software collecting multiple data sets to predict and impact student success. They recommended establishing an ongoing working group to develop learning analytic practices and tools across SUNY.
Designing Systemic Learning Analytics at the Open University
Belinda TynanPro-Vice-Chancellor Learning & TeachingThe Open University, UK
Simon Buckingham Shum Knowledge Media InstituteThe Open University, UK
Replay from today's webinar in the SoLAR online open course Strategy & Policy for Systemic Learning Analytics. Thanks to the Australian Office for Learning and Technology for sponsoring this, and to George Siemens for convening (replay):
Abstract: The OU has been analysing student data and feeding this back to faculties since its doors opened 40 years ago. However, the emergence of learning analytics technologies open new possibilities for engaging in more effective sensemaking of richer learner data, and more timely interventions. We will introduce the framework we are developing to orchestrate the rollout of a systemic organisational analytics infrastructure (both human and technical), and discuss some of the issues that arise. We will also describe how strategic research efforts will key into this design, should they prove effective.
Learn@UW Executive Committee Roadmap Presentation, July 2014Tanya Joosten
I chaired a strategic visioning process as a member of the Learn@UW Executive Committee for UW System in 2013-2014. See https://www.wisconsin.edu/systemwide-it/projects/academic-roadmap/ for more information.
Using A Research Lens To Examine Your COVID-19 Pandemic ResponseTanya Joosten
FEATURED SESSION
Using A Research Lens To Examine Your COVID-19 Pandemic Response
Date: Tuesday, November 17th
Time: 11:45 AM to 12:30 PM
Conference Session: Concurrent Session 4
Session Modality: Virtual
Lead Presenter: Tanya Joosten (National Research Center for Distance Education and Technological Advancements (DETA) and the University of Wisconsin-Milwaukee)
Track: Research, Evaluation, and Learning Analytics
Location: Zoom Room 1
Session Duration: 45min
Brief Abstract:
Using a recently developed research toolkit to drive our discussion, this session will help you identify meaningful research questions, variables, measures, instrumentation and other data collection tools, and data collection techniques to more effectively understand your and your institution’s response to providing instruction and support remotely during COVID-19 pandemic.
Designing Systemic Learning Analytics at the Open University
Belinda TynanPro-Vice-Chancellor Learning & TeachingThe Open University, UK
Simon Buckingham Shum Knowledge Media InstituteThe Open University, UK
Replay from today's webinar in the SoLAR online open course Strategy & Policy for Systemic Learning Analytics. Thanks to the Australian Office for Learning and Technology for sponsoring this, and to George Siemens for convening (replay):
Abstract: The OU has been analysing student data and feeding this back to faculties since its doors opened 40 years ago. However, the emergence of learning analytics technologies open new possibilities for engaging in more effective sensemaking of richer learner data, and more timely interventions. We will introduce the framework we are developing to orchestrate the rollout of a systemic organisational analytics infrastructure (both human and technical), and discuss some of the issues that arise. We will also describe how strategic research efforts will key into this design, should they prove effective.
Learn@UW Executive Committee Roadmap Presentation, July 2014Tanya Joosten
I chaired a strategic visioning process as a member of the Learn@UW Executive Committee for UW System in 2013-2014. See https://www.wisconsin.edu/systemwide-it/projects/academic-roadmap/ for more information.
Using A Research Lens To Examine Your COVID-19 Pandemic ResponseTanya Joosten
FEATURED SESSION
Using A Research Lens To Examine Your COVID-19 Pandemic Response
Date: Tuesday, November 17th
Time: 11:45 AM to 12:30 PM
Conference Session: Concurrent Session 4
Session Modality: Virtual
Lead Presenter: Tanya Joosten (National Research Center for Distance Education and Technological Advancements (DETA) and the University of Wisconsin-Milwaukee)
Track: Research, Evaluation, and Learning Analytics
Location: Zoom Room 1
Session Duration: 45min
Brief Abstract:
Using a recently developed research toolkit to drive our discussion, this session will help you identify meaningful research questions, variables, measures, instrumentation and other data collection tools, and data collection techniques to more effectively understand your and your institution’s response to providing instruction and support remotely during COVID-19 pandemic.
Update on development of system-wide program of learning outcomes assessment, both within Massachusetts public higher education and within the new Multistate Collaborative to Advance Learning Outcomes Assessment. Presented by Pat Crosson, Senior Advisor for Academic Policy, and Bonnie Orcutt, Director of Learning Outcomes Assessment, to the Massachusetts Board of Higher Education on January 28, 2014.
The following slides are meant to provide a bit of background information about the "New" Discovery Center, our recent merger, the work we complete, and the services we offer!
Florida Virtual School, the nation’s largest state K-12 virtual school, engages in multiple instructional research partnerships each year. In this presentation, members of the FLVS leadership team will discuss the process of designing organizational research goals and partnering with external researchers, in addition to sharing the challenges and best practices in managing research partnerships—from research methods/design to data collection and security. Additionally, a summary of ongoing instructional research projects at FLVS will be offered. This presentation will appeal to both providers and researchers as an opportunity to learn more about working together in the important process of research partnership.
The American Public University System (APUS) will discuss strategies to engage faculty and administrators in ongoing assessment processes at the fully online distance learning institution. As a result of these strategies, faculty and administrators are increasingly integrating assessment information into daily decision-making processes to improve on academic courses and programs.
Keeping the Faith: Conversations to Advance the Middle School Concept with Integrity
Many educators continue to provide authentic middle school programs and practices - even when faced with budgetary challenges and public misperceptions. Presenters will share suggestions for articulating and advocating the middle school concept. Using presentation software, audience participants will engage in discussing these issues in an open forum.
Presenters: Bob Houghton, Howard Coleman, Kathleen Roney, Laurie Ramirez & Dave Strahan-Appalachian State University, UNC-Wilmington, & Western Carolina University
Update on development of system-wide program of learning outcomes assessment, both within Massachusetts public higher education and within the new Multistate Collaborative to Advance Learning Outcomes Assessment. Presented by Pat Crosson, Senior Advisor for Academic Policy, and Bonnie Orcutt, Director of Learning Outcomes Assessment, to the Massachusetts Board of Higher Education on January 28, 2014.
The following slides are meant to provide a bit of background information about the "New" Discovery Center, our recent merger, the work we complete, and the services we offer!
Florida Virtual School, the nation’s largest state K-12 virtual school, engages in multiple instructional research partnerships each year. In this presentation, members of the FLVS leadership team will discuss the process of designing organizational research goals and partnering with external researchers, in addition to sharing the challenges and best practices in managing research partnerships—from research methods/design to data collection and security. Additionally, a summary of ongoing instructional research projects at FLVS will be offered. This presentation will appeal to both providers and researchers as an opportunity to learn more about working together in the important process of research partnership.
The American Public University System (APUS) will discuss strategies to engage faculty and administrators in ongoing assessment processes at the fully online distance learning institution. As a result of these strategies, faculty and administrators are increasingly integrating assessment information into daily decision-making processes to improve on academic courses and programs.
Keeping the Faith: Conversations to Advance the Middle School Concept with Integrity
Many educators continue to provide authentic middle school programs and practices - even when faced with budgetary challenges and public misperceptions. Presenters will share suggestions for articulating and advocating the middle school concept. Using presentation software, audience participants will engage in discussing these issues in an open forum.
Presenters: Bob Houghton, Howard Coleman, Kathleen Roney, Laurie Ramirez & Dave Strahan-Appalachian State University, UNC-Wilmington, & Western Carolina University
E-LEARNING TECHNOLOGIES
Tutorial by Martin Ebner, Martin Schön and Sandra Schön
CC BY SA BIMS e.V. | Martin Ebner, Martin Schön, Sandra Schön | April 2014
URL: http://creativecommons.org/licenses/by-sa/2.0/de/
ABLE - the NTU Student Dashboard - University of DerbyEd Foster
implementing a university wide learning analytics system.
Presentation Overview:
- Introduction
- Developing the NTU Student Dashboard
- Transitioning from pilot phase to whole institution roll-out
- Embedding the resource into working practices
- Future development
Moving Forward on Learning Analytics - A/Professor Deborah West, Charles Darw...Blackboard APAC
Learning analytics is a 'hot topic' in education with many institutions seeking to make better use of the data available via various systems. One of the key challenges in this process is to understand the business questions that people working in various roles in institutions would like to be able to answer. However, it is also important that these questions are appropriately structured and specific in order to gather the relevant data. This session builds on the workshop run at last year's Blackboard Learning and Teaching conference where participants explored business questions and use cases for learning analytics from a range of perspectives.
Delivered at Innovate and Educate: Teaching and Learning Conference by Blackboard. 24 -27 August 2015 in Adelaide, Australia.
Learning analytics futures: a teaching perspectiveRebecca Ferguson
Talk given by Rebecca Ferguson on 22 November 2018 int Universita Ca'Foscario Venezia at the event Nuovi orizzonti della ricerca pedagogica: evidence-based learning e learning analytics
Introduction to Designing Assessment Plans Workshop 1Lisa M. Snyder
At the completion of this workshop, participants will be able to:
Identify the components of an assessment plan and explain to colleagues the purpose and process of assessment
Write observable, measurable learning outcomes for their program
Draft a curriculum map that identifies specific courses where program learning outcomes are addressed
Develop a plan, including a timeline, to gather, analyze, and interpret assessment data
Faculty as students: One model for faculty to develop and teach onlineKathy Keairns
Learn about the University of Denver's Teaching Online Workshop (TOW), an intensive online workshop where new online instructors experience online learning from the student perspective and learn best practices for developing and teaching an online course.
Learn how and why the Quality Matters standards were integrated into an existing faculty development workshop and how the workshop has evolved over time.
Information session at the 2015 Distance Teaching & Learning Conference in Madison, WI.
Australian university teacher’s engagement with learning analytics: Still ea...Blackboard APAC
This session reports the results of a recent OLT-funded national exploratory study addressing the relevant factors and their impact when implementing learning analytics for student retention purposes. The project utilised a mixed-method research design and yielded a series of outputs, including the development of a non-technical overview of learning analytics, focusing on linking the fields of student retention and learning analytics resulting in an institution level survey focusing on sector readiness and decision making relating to utilising learning analytics for retention purposes. An academic level survey was administered to academic staff exploring their progress, aspirations and support needs relating to learning analytics. Follow-up interviews expanded on their experiences with learning analytics to date. An evidence-based framework was developed, mapping important factors affecting learning analytics decision making and implementation. This was illustrated by a suite of five case studies developed by each of the research partner institutions detailing their experiences with learning analytics and demonstrating why elements in the framework are important. These findings were shared and tested at a National Forum in April 2015.
Delivered at Innovate and Educate: Teaching and Learning Conference by Blackboard. 24 -27 August 2015 in Adelaide, Australia.
Presentation by Russ Little. Provides an overview of Integrated Planning and Advising Systems (IPAS). Demonstrates how the Student Success Plan software and My Academic Plan (MAP) function, and evidence of their effectiveness.
Blackboard Analytics for Learn @JCU – a proactive approach to the use of data...Blackboard APAC
Committed to providing a supportive and safe educational environment that fosters student engagement and success, James Cook University (JCU) has taken a proactive approach to the use of data in a dual-pronged approach to improve the student experience and curriculum design. Blackboard Analytics for Learn is a key tool within these initiatives. Analytics for Learn provides real-time data that can be used by staff in a variety of roles to support student success. This presentation will outline how JCU is adapting Analytics for Learn, including discussion of initial customisations made to 'out-of-the-box' reports and the development of personalised dashboards, as well as providing an overview of the coordinated approach to the staged 'roll-out' and adoption of reports and dashboards.
Delivered at Innovate and Educate: Teaching and Learning Conference by Blackboard. 24 -27 August 2015 in Adelaide, Australia.
Similar to FACT2 Learning Analytics Task Group Phase 2 report - CIT2014 (20)
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Francesca Gottschalk - How can education support child empowerment.pptxEduSkills OECD
Francesca Gottschalk from the OECD’s Centre for Educational Research and Innovation presents at the Ask an Expert Webinar: How can education support child empowerment?
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
2. 2013-14 Task Group Goals
• Will be to..
– develop the professional learning opportunities
for SUNY faculty and staff
– “identify and share known best practices and
exemplary uses of Learning Analytics for
assessment, and early intervention strategies.”
3. Task Group Activities
Fall 2013
• Presented first year Task Group findings and best practices about
Learning Analytics at several SUNY conferences.
– “Using Big Data to Enhance the Student Experience” panel
presentation at “Building a Smarter University: Big Data, Innovation
and Ingenuity”, October 2013.
– “Enhancing Excellence in Assessment: Institutional Effectiveness and
Learning Analytics” presented at SUNY Council on Assessment (ScoA)
at The College at Brockport, Stony Brook University, and the
University at Albany.
Spring 2014
• Presented best practices about Learning Analytics at through SUNY
webinars.
– “Learning Analytics: Best Practices for Student Assessment”
– “Learning Analytics: Predicting Student Success in A Course”
4. Spring 2014 Pilot
• SUNY Oswego has piloted Starfish retention
system over one academic year
– Nearly 1,000 students targeted in programs with
known persistence issues (freshman and transfer
students)
– 750 courses, 360 instructors, 100 advisors involved
• Impact being assessed; compared to previous
performance of a similar cohort
– scope of impact being measured
(effect vs. effort to "scale up" and track against all students)
6. Learning Analytics - Working Definition
• Software that collects and analyzes multiple
data sets related to the process of learning to
PREDICT and IMPACT student success.
Learning Analytics Task Group of FACT2
Learning Analytics Webinar: Tools & Best Practices for Student Assessment, 4/14/2014
Online course
assignments
Social
media
activities
Student
data
Data potentially collected in…
Blended and online learning environments,
and other emergent resources connected to
the teaching and learning experience.
7. Predictive Analytics: Building Models
Placement for success and completion..
– which students should be steered toward which
courses? Which programs?
Can advising leverage student data?
– If so, what are the best predictors of
performance?
Collect
Data
Data
Analysis
Actionable
Results
8. Development of Large Scale
Approaches
Predictive Analytics Reporting (PAR) Framework
and “Data Cookbook”
9. Predictive Analytics: Building Models
Can we identify
characteristics of a
successful
outcome?
an
unsuccessful
outcome?
DATA SOURCES
Grade in course
Can it be predicted by other
data?
• Major
• High school GPA
• English placement exam
score
• Math placement exam
score
• HS Regent scores….
• SAT Verbal, SAT math
• SAT Writing“every student with a HS
average of 83 or less, did not
successfully complete the
course…”
10. Learning
Outcomes
Teaching &
Learning
activity
Teaching &
Learning
activity
Student
assignments
Teaching &
Learning
activity
Student
assignments
Grading
Evaluate
outcomes
met for
course?
Typically, student
assessment data is
collected a the end of a
course and data is used
to report on outcomes.
“Learning analytics is
not in itself the goal
but could provide a
basis for decision
making for effective
action.”
Learning Analytics Webinar: Tools & Best Practices for Student Assessment, 4/14/2014
11. Prior assessment techniques…
Focused on course outcomes,
but no real-time data for
interventions….
Learning Analytics Webinar: Tools & Best Practices for Student Assessment, 4/14/2014
12. What happened?
Why did it happen?
What will happen?
How can we improve learning?
Descriptive
Analytics
Diagnostics
Analytics
Predictive
Analytics
Prescriptive
Analytics
2014 State of
the Art
for
Learning
Analytics
Learning Analytics Webinar: Tools & Best Practices for Student Assessment, 4/14/2014
13. Learning
Analytic
Tools need to
• Align with learning
principles & pedagogy
• Robust data analysis
• Ethical considerations
• Institutional capacity
Is there a thoughtful educational plan
for interventions and student
feedback?
Learning Analytics Webinar: Tools & Best Practices for Student Assessment, 4/14/2014
14. RISKS & CONSIDERATIONS
Ethics of Data Collection.
Permissions?
What is the educational plan for interventions and student feedback?
Learning Analytics Webinar: Tools & Best Practices for Student Assessment, 4/14/2014
16. LATG Recommendations
• Develop a mechanism to encourage and support the
adoption of Learning Analytics
– For course placements, assessment, and degree
completion
– Through
• professional education programs
• enabling data access
• Identify large Learning Analytics systems
– for predictive analytics and intervention strategies
– Expand & continue Pilots in process for system adoption,
such as StarFish.
– Identify, pilot and adopt learning analytics assessment
tools for course use.
17. Recommendations:
Specifically:
• Establish an ongoing working group to develop
Learning Analytic practices, tools and support
services.
• Develop best practices for campuses interested in
adoption
– resource allocation, effort involved, faculty
development, organizational change management
• Develop educational programs to encourage
campus adoption
18. Recommendation: Data Practices
• Establish common data definitions (e.g.
definitions of "at risk" students)
– leverage national data definition standards, such as
the “Data Cookbook” developed by the Predictive
Analytics Reporting framework.
• Facilitate access to data and develop supporting
policies for data access and privacy - ethical
considerations.
• Develop common indicators and measurements
to assess impact across multiple campuses
Data potentially collected in…
Blended and online learning environments,
Online assignments,
Online portals,
Enrollment data,
And other emergent resources connected to the teaching and learning experience.
Identify the factors that directly and positively influence student success and momentum towards completing a high value postsecondary credential.2
The PAR Framework is predicated on identifying factors that affect success and loss among undergraduate students, with a focus on at-risk, first-time, new, and nontraditional students. While attention had initially been paid only to online students, the sample now includes records of students from on-the-ground, blended, and online programs. Viewing normalized data through a multi-institutional lens and using complete sets of undergraduate data based on a common set of measures with common data definitions provides insights that are not available when looking at records from a single institution.
PAR Framework participation depends on having partner institutions (figure 1) provide a full set of de-identified undergraduate student data that allows for comparative investigation of student success trends over time, at the individual student, course, and degree level. PAR members provide incremental data updates at the end of each term/course enrollment period to measure changes over time, evaluate the impact of student success interventions, and enable the PAR predictive models to be adjusted and tuned for current data.
Typically, student assessment data is collected a the end of a course and data is used to report on outcomes.
LA can now enable interventions and feedback at the time students need it.
To support personalizing the student experience; customize course materials.
develop learning analytics that are learning-centric
Can better support a cycle of predicting success, assessment and just in time feedback. (show diagram)
Ultimately, analysing data to improve learning requires tools that align with pedagogical principles alongside sound data analysis skills, ethical considerations and institutional capacities that can ensure value-driven and valuable interventions.
Data collection and the tools that measure it are not neutral and instead reflect what we
consider to be ‘good’ education, pedagogy, and assessment practices, which are all
fundamental issues at the heart of learning analytics development.