I attended the Pittsburgh Summer LearnLab at Carnegie Mellon over the summer (2016). The work that I did over the week of the LearnLab went into this presentation. I conducted two linear regression models, two support vector classification models, a hierarchical clustering analytics, and a Latent Class Analysis.
Visit BobBodily.com for more information about my research.
Using real-time dashboards to improve student engagement in virtual learning ...Bob Bodily
In this presentation, I discuss the technical requirements for collecting learning analytics data in an open environment, the analytics system we have created to facilitate real-time data collection, screenshots of our student and instructor dashboards, and some statistical analyses conducted to improve our dashboards.
Visit BobBodily.com for more information about my research.
Designing, developing, and evaluating a real time student dashboardBob Bodily
We discuss the technical infrastructure needed to capture student data in an open learning environment (beyond the LMS), our iterative design process along with dashboard prototypes, and our dashboard evaluation results from focus groups and a survey.
Visit BobBodily.com for more information about my research.
The RISE Framework: Using learning analytics for the continuous improvement o...Bob Bodily
We present the Resource Inspection, Selection, and Enhancement (RISE) framework, a learning analytics framework designed to enable teachers to engage in the continuous improvement process. This framework helps identify resources that should be evaluated by a teacher or an instructional designer.
Visit BobBodily.com for more information about my research.
Examining the effect of a real time student dashboard on student behavior and...Bob Bodily
In this presentation we present a randomized control trial research study conducted to determine the effect of a real-time student dashboard on student behavior and student achievement. We also present on some of our design changes to increase student use of our dashboards.
Visit BobBodily.com for more information about my research.
I attended the Pittsburgh Summer LearnLab at Carnegie Mellon over the summer (2016). The work that I did over the week of the LearnLab went into this presentation. I conducted two linear regression models, two support vector classification models, a hierarchical clustering analytics, and a Latent Class Analysis.
Visit BobBodily.com for more information about my research.
Using real-time dashboards to improve student engagement in virtual learning ...Bob Bodily
In this presentation, I discuss the technical requirements for collecting learning analytics data in an open environment, the analytics system we have created to facilitate real-time data collection, screenshots of our student and instructor dashboards, and some statistical analyses conducted to improve our dashboards.
Visit BobBodily.com for more information about my research.
Designing, developing, and evaluating a real time student dashboardBob Bodily
We discuss the technical infrastructure needed to capture student data in an open learning environment (beyond the LMS), our iterative design process along with dashboard prototypes, and our dashboard evaluation results from focus groups and a survey.
Visit BobBodily.com for more information about my research.
The RISE Framework: Using learning analytics for the continuous improvement o...Bob Bodily
We present the Resource Inspection, Selection, and Enhancement (RISE) framework, a learning analytics framework designed to enable teachers to engage in the continuous improvement process. This framework helps identify resources that should be evaluated by a teacher or an instructional designer.
Visit BobBodily.com for more information about my research.
Examining the effect of a real time student dashboard on student behavior and...Bob Bodily
In this presentation we present a randomized control trial research study conducted to determine the effect of a real-time student dashboard on student behavior and student achievement. We also present on some of our design changes to increase student use of our dashboards.
Visit BobBodily.com for more information about my research.
Data Driven Instructional Decision MakingA framework.docxwhittemorelucilla
Data Driven
Instructional Decision Making
A framework
Data –Driven Instruction
Data-driven instruction is characterized by cycles
that provide a feedback loop
in which teachers plan and deliver instruction, assess student
understanding through the collection of data, analyze the data, and
then pivot instruction based on insights from their analysis.
From: Teachers know best: Making Data Work For Teachers and Students
Bill & Melinda Gates Foundation
https://s3.amazonaws.com/edtech-production/reports/Gates-TeachersKnowBest-MakingDataWork.pdf
Data-Driven Decision Making Process Cycle
Data Planning
and
Production
Data Analysis
Developing
an Action
Plan
Monitoring
progress
Measuring
Success
Implementing
the Action
Plan
Data is used
From : Teachers know best: Making Data Work For Teachers and Students
Bill & Melinda Gates Foundation
https://s3.amazonaws.com/edtech-production/reports/Gates-
TeachersKnowBest-MakingDataWork.pdf
Data –Driven Instruction Feedback Loop
Data Planning
and
Production
Data Analysis
Developing an
Action Plan
Monitoring
progress
Measuring
Success
Implementing
the Action
Plan
Data –Driven Instruction Feedback Loop
Data Planning
and
Production
Data Analysis
Developing an
Action Plan
Monitoring
progress
Measuring
Success
Implementing
the Action
Plan
Instructors need to
facilitate this data –driven
instruction decision loop
in a timely and smooth
fashion
…and on an ongoing basis
• Per student
• Per class
• Per group
Data –Driven Instruction Feedback Loop
Roles Inherent in the Data-Driven Instruction
Decision Making Loop
• Planner
• Data Producer
• Data Analyst
• Monitor
• Reporter
• Data End User
• IT
• Operations and Logistics
Data Planning and Production Questions
• What questions are to be addressed in future data-informed
conversations? Which questions are more important?
• What information (metrics) are needed to answer these question?
• Is the information available and feasibly attainable?
• Are the necessary technology and resources available?
• How can current non-data based instructional decision making be
mapped to data-based instructional decision making process?
• What are the costs associated with this endeavor?
• What are the timelines ?
• How and when will the data be collected and stored?
Data Analysis Questions
• What relations exists between the metrics? What patterns do
the data reveal?
• How many levels of the metric are needed to answer the
questions?
• Do the original questions need to be revised or expanded?
• Do the original metrics need to be redefined or expanded?
• What analytical tools are currently available? What tools
need to be designed to support the analysis?
• What method of analysis or evaluation will be used?
• What are the data limitations, strengths, challenges, context?
Monitor Questions
• How are the metrics evolving as the learning and instructional
processes evolve.
From theory to practice blending the math classroom and creating a data cultu...DreamBox Learning
Transitioning your school to a fully blended model that leverages data to inform school wide goals, drive classroom instruction, and form small groups takes time and buy-in. Whether you’re in the beginning stages of your blended journey, or are several years into it, it’s important to stay dynamic and reflective to ensure your blended initiative is having a positive impact on student success. Hear how Aldeane Comito Ries Elementary was able to take data beyond the classroom and continue to successfully incorporate it into their school’s infrastructure.
Join the staff at Aldeane Comito Ries Elementary to hear about how they:
• Received buy-in from their staff at all levels
• Specifically use data in their day-to-day
• Continue to transform classroom teaching and learning
Learning analytics and Moodle: So much we could measure, but what do we want to measure? A presentation to the USQ Math and Sciences Community of Practice May 2013
Big Data and Advanced Analytics For Improving Teaching Practices In 2023 | Fu...Future Education Magazine
Here are 7 ways of big data and advanced analytics to improve teaching practices: 1. Data Sources in Education 2. The Role of Big Data in Education 3. Advanced Analytics in Education 4. Assessing Teaching Practices with Data 5. Enhancing Teaching Practices with Data
Ethnobotany and Ethnopharmacology:
Ethnobotany in herbal drug evaluation,
Impact of Ethnobotany in traditional medicine,
New development in herbals,
Bio-prospecting tools for drug discovery,
Role of Ethnopharmacology in drug evaluation,
Reverse Pharmacology.
How to Split Bills in the Odoo 17 POS ModuleCeline George
Bills have a main role in point of sale procedure. It will help to track sales, handling payments and giving receipts to customers. Bill splitting also has an important role in POS. For example, If some friends come together for dinner and if they want to divide the bill then it is possible by POS bill splitting. This slide will show how to split bills in odoo 17 POS.
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.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
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.
2. Interview Questions
#1 - As a building administrator, how will you use
data to improve student achievement?
#2 - Create a PowerPoint sharing how you have
used data in your work as a teacher?
3. Assessment and Data (3.1)
What data will you collect?
Data tells the story
Meeting or exceeding goals
Not meeting goals
Multiple measures
State & local standardized assessment data
Classroom data
Teacher data
Walkthroughs
PLC’s
Observation/Evaluation
4. Analyzing the Data (3.2)
Analyzing data is a job of a principal
Analysis of data may show many different things:
Deficiency in math achievement
Patterns of sick leave abuse
Ineffective PLC’s
Discipline concerns
On track to graduate – Early Warning Indicators
5. Implements a Plan (3.3)
What is the plan to hold PLC’s accountable?
What is the plan to increase student achievement
reading?
How will the gap be close between special
education students and general education
students?
How will you intervene with students identified
with Early Warning Indicators?
6. Assisting Staff with Data
(3.4)
Systems put in place
Data requested
Support to prepare assessment
Be reasonable
7. AWSP Leadership
Framework
3.5, 5.5, 8.3
Principal focusing their work based on data
Outlining the work in 3.5, 5.5, 8.3
Principal Actions
What mechanisms will be employed?
What did you do to support improved learning?
