Does Multiple Choice Have a Future in the Age of AI?
Check out our latest paper, accepted to the International Conference on Learning Analytics and Knowledge (LAK) 2025.
PLUS joins learning engineering virtual institute
Does Multiple Choice Have a Future in the Age of AI?
Check out our latest paper, accepted to the International Conference on Learning Analytics and Knowledge (LAK) 2025.
Personalized Professional Development for Tutors
Personalized Professional Development for Tutors
Personalized Professional Development for Tutors
To be successful at supporting students' growth, educators need training on more than just math content. They also need to know how to react to errors, how to identify and address their own biases, how to build relationships with learners, how to use technology successfully, and much more! Our training is personalized for each mentor and addressed all the competencies a mentor needs to be successful. We offer upfront training at the start of a semester as well as continued on the job training through our growing library of asynchronous lessons in the PLUS web app.
To be successful at supporting students' growth, educators need training on more than just math content. They also need to know how to react to errors, how to identify and address their own biases, how to build relationships with learners, how to use technology successfully, and much more! Our training is personalized for each mentor and addressed all the competencies a mentor needs to be successful. We offer upfront training at the start of a semester as well as continued on the job training through our growing library of asynchronous lessons in the PLUS web app.
To be successful at supporting students' growth, educators need training on more than just math content. They also need to know how to react to errors, how to identify and address their own biases, how to build relationships with learners, how to use technology successfully, and much more! Our training is personalized for each mentor and addressed all the competencies a mentor needs to be successful. We offer upfront training at the start of a semester as well as continued on the job training through our growing library of asynchronous lessons in the PLUS web app.
100% free for tutors
On-site & Remote delivery
Scenario-based learning
SMART Framework
The PLUS Education program was founded on internal studies conducted by experts at Carnegie Mellon University. Our research-backed curriculum covers 13 distinct skill sets from 5 key domains identified as critical for educator success: Social Emotional Learning, Mastery of Content, Advocacy, Building Relationships, and Utilizing Technology Tools.
The Competencies
Social Emotional Learning
Social Emotional Learning
Apply Social-Emotional Learning Practices
Engage and Motivate Students
Foster Independent Learning
Manage the Learning Environment
Mastering Content
Mastering Content
Understand Math Content
Understand Educational Policies and Norms
Apply Tutoring Skills
Understand Literacy Content
Advocacy
Advocacy
Use Culturally Responsive Teaching Practices
Demonstrate Awareness of Bias
Practice Self-Care
Relationships
Relationships
Build Relationships with Students
Communicate with Caregivers
Technology Tools
Technology Tools
Use Technology Effectively
Stay Organized
Research Backed Training
Results indicate tutors are learning from our brief, scenario-based lessons with tutors performing an average of 20% better on posttest compared to pretest.
When the Tutor Becomes the Student: Design and Evaluation of Efficient Scenario-based Lessons for Tutors
These results also guided the creation of a preliminary super-competency scheme through the creation of SMART supports. Such schematic recategorization of mentor super-competencies will improve mentor training and optimize their efficiency in helping students with particular barriers to learning.
An Evaluation of Perceptions Regarding Mentor Competencies for Technology-based Personalized Learning
The first solution is PL2 Training, which contains the resource library discussed previously and also houses asynchronous lessons for on-demand and as-needed access by mentors...The second solution, PL2 Toolkit, repackages student EdTech status features, goal setting, and recommended resources allowing mentors to personalize the learning experience for their students.
Scenario-based Training and On-the-Job Support for Equitable Mentoring
Analysis of earlier lessons has shown some evidence of mentor learning in pre-post prediction with substantial improvement in pre-post mentor explanation ability. This evidence supports our hypothesis that short, scenario-based lessons can have a positive impact on mentor learning of how to attend to student self-efficacy.
Development of Scenario-based Mentor Lessons
Results indicate tutors are learning from our brief, scenario-based lessons with tutors performing an average of 20% better on posttest compared to pretest.
When the Tutor Becomes the Student: Design and Evaluation of Efficient Scenario-based Lessons for Tutors
These results also guided the creation of a preliminary super-competency scheme through the creation of SMART supports. Such schematic recategorization of mentor super-competencies will improve mentor training and optimize their efficiency in helping students with particular barriers to learning.
An Evaluation of Perceptions Regarding Mentor Competencies for Technology-based Personalized Learning
The first solution is PL2 Training, which contains the resource library discussed previously and also houses asynchronous lessons for on-demand and as-needed access by mentors...The second solution, PL2 Toolkit, repackages student EdTech status features, goal setting, and recommended resources allowing mentors to personalize the learning experience for their students.
Scenario-based Training and On-the-Job Support for Equitable Mentoring
Analysis of earlier lessons has shown some evidence of mentor learning in pre-post prediction with substantial improvement in pre-post mentor explanation ability. This evidence supports our hypothesis that short, scenario-based lessons can have a positive impact on mentor learning of how to attend to student self-efficacy.
Development of Scenario-based Mentor Lessons
Results indicate tutors are learning from our brief, scenario-based lessons with tutors performing an average of 20% better on posttest compared to pretest.
When the Tutor Becomes the Student: Design and Evaluation of Efficient Scenario-based Lessons for Tutors
These results also guided the creation of a preliminary super-competency scheme through the creation of SMART supports. Such schematic recategorization of mentor super-competencies will improve mentor training and optimize their efficiency in helping students with particular barriers to learning.
An Evaluation of Perceptions Regarding Mentor Competencies for Technology-based Personalized Learning
The first solution is PL2 Training, which contains the resource library discussed previously and also houses asynchronous lessons for on-demand and as-needed access by mentors...The second solution, PL2 Toolkit, repackages student EdTech status features, goal setting, and recommended resources allowing mentors to personalize the learning experience for their students.
Scenario-based Training and On-the-Job Support for Equitable Mentoring
Analysis of earlier lessons has shown some evidence of mentor learning in pre-post prediction with substantial improvement in pre-post mentor explanation ability. This evidence supports our hypothesis that short, scenario-based lessons can have a positive impact on mentor learning of how to attend to student self-efficacy.
Development of Scenario-based Mentor Lessons
Join Us!
Join Us!
Interested in becoming a PLUS Tutor? Reach out now to get involved and start training!
