This is a Proposed Schema of 21st Century Skills Flexible Learning Approach. The …
This is a Proposed Schema of 21st Century Skills Flexible Learning Approach. The Discover, Learn, Practice, Collaborate and Assess (DLPCA) strategy was conceptualized for this blended learning technique with the goal of integrating the instructors, students, and readily available technologies to meet the challenges of higher education during this pandemic.
Student projects in D-Lab classes are defined by community partners and social …
Student projects in D-Lab classes are defined by community partners and social ventures around the world. We don’t always know what is needed, but our community partners do, and our students have technical knowledge and skills to contribute to that work. Each semester, through a selection of full-semester classes, our students form into teams to work on projects framed by community partners – NGOs, local nonprofits, and social entrepreneurs. At the end of each semester, students present their work to their peers, partners, and guests.
This module gives a comprehensive overview about daily living assistive technologies for …
This module gives a comprehensive overview about daily living assistive technologies for people with disabilities as well as the latest smart technologies.
Watch the clip, Bomba or Baseball, from Alma's Way to spark conversations …
Watch the clip, Bomba or Baseball, from Alma's Way to spark conversations about dancing and not getting things right on the first try. Then, introduce the activity to help students practice developing their coordination skills and work to strengthen their large muscles.
NOTE: The PDF document assets and Support Materials are also available in Spanish.
Physical movement is one of the most engaging ways to interact with …
Physical movement is one of the most engaging ways to interact with AI systems. Dancing with AI is a week-long workshop curriculum in which students conceptualize, design, build, and reflect on interactive physical-movement-based multimedia experiences. Students will learn to build interactive AI projects using two new Scratch Extension tools developed for this curriculum.
The goal of this curriculum is to engage students with interactive lessons and projects, and to have them think critically about AI and natural interaction. Throughout this course, students will have open-ended discussions on questions such as:
- How do we compare and contrast forms of representation? - How do we interact with other humans vs. how do we interact with AI? - What are forms of bias that can arise from improperly trained machine learning models, and how can we remediate those biases? - What kind of projects can you create with interactive AI that will benefit your community?
These questions will allow students to reflect on their own abilities as consumers and creators of interactive AI, and have them think critically about the ways it can help and harm society.
CODAP (Common Online Data Analysis Platform) is an open-source data visualization and …
CODAP (Common Online Data Analysis Platform) is an open-source data visualization and analysis tool made available by the Concord Consortium. It's available at https://codap.concord.org/. CODAP can be used across the curriculum to help students summarize, visualize, and interpret data, advancing their skills to use data as evidence to support a claim.
This professional learning resource includes guides to get started, tutorials that demonstrate the features and functionality of CODAP, sample lessons, and links to online forum sites.
Understanding the types, processes, and frameworks of workflows and analyses is helpful …
Understanding the types, processes, and frameworks of workflows and analyses is helpful for researchers seeking to understand more about research, how it was created, and what it may be used for. This lesson uses a subset of data analysis types to introduce reproducibility, iterative analysis, documentation, provenance and different types of processes. Described in more detail are the benefits of documenting and establishing informal (conceptual) and formal (executable) workflows.
Data citation is a key practice that supports the recognition of data …
Data citation is a key practice that supports the recognition of data creation as a primary research output rather than as a mere byproduct of research. Providing reliable access to research data should be a routine practice, similar to the practice of linking researchers to bibliographic references. After completing this lesson, participants should be able to define data citation and describe its benefits; to identify the roles of various actors in supporting data citation; to recognize common metadata elements and persistent data locators and describe the process for obtaining one, and to summarize best practices for supporting data citation.
This is a workshop PowerPoint slides about data curation. It aims to …
This is a workshop PowerPoint slides about data curation. It aims to instruct researchers (especially in the University of Hong Kong) how to manage their research data. Some basic theories and how research data are managed in Lifecycle are covered in it.
Learn how instructional designers use data to inform the creation of a …
Learn how instructional designers use data to inform the creation of a Learning Persona. Learning Personas help determine the needs of the training and help ...
When entering data, common goals include creating data sets that are valid, …
When entering data, common goals include creating data sets that are valid, have gone through an established process to ensure quality, are organized, and reusable. This lesson outlines best practices for creating data files. It will detail options for data entry and integration, and provide examples of processes used for data cleaning, organization and manipulation.
Data management planning is the starting point in the data life cycle. …
Data management planning is the starting point in the data life cycle. Creating a formal document that outlines what you will do with the data during and after the completion of research helps to ensure that the data is safe for current and future use. This lesson describes the benefits of a data management plan (DMP), outlines the components of a DMP, details tools for creating a DMP, provides NSF DMP information, and demonstrates the use of an example DMP.
Designed specifically for Comprehensive School Counseling Program (CSCP) staff, this 5-part mini-series …
Designed specifically for Comprehensive School Counseling Program (CSCP) staff, this 5-part mini-series will guide participants through a project to address a gap that exists in their school’s student achievement, behavior, or attendance data.By the end of this webinar, participants will be able to use data to identify students requiring supplemental supports, identify evidence of disproportionality, and select a target group for intervention.
Designed specifically for Comprehensive School Counseling Program (CSCP) staff, this 5-part mini-series …
Designed specifically for Comprehensive School Counseling Program (CSCP) staff, this 5-part mini-series will guide participants through a project to address a gap that exists in their school’s student achievement, behavior, or attendance data.By the end of this webinar, participants will be able to integrate root cause analysis into our Tier 2 approach and align interventions to the root cause for maximum impact.
Quality assurance and quality control are phrases used to describe activities that …
Quality assurance and quality control are phrases used to describe activities that prevent errors from entering or staying in a data set. These activities ensure the quality of the data before it is collected, entered, or analyzed, as well as actively monitoring and maintaining the quality of data throughout the study. In this lesson, we define and provide examples of quality assurance, quality control, data contamination and types of errors that may be found in data sets. After completing this lesson, participants will be able to describe best practices in quality assurance and quality control and relate them to different phases of data collection and entry.
When first sharing research data, researchers often raise questions about the value, …
When first sharing research data, researchers often raise questions about the value, benefits, and mechanisms for sharing. Many stakeholders and interested parties, such as funding agencies, communities, other researchers, or members of the public may be interested in research, results and related data. This lesson addresses data sharing in the context of the data life cycle, the value of sharing data, concerns about sharing data, and methods and best practices for sharing data.
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