Project Grant 2214594
- This Project Grant award from the National Science Foundation's STEM Education program supports the development of the Tutor Engagement Assistant (TEA) system by The Washington University. The TEA system aims to improve the quality of teaching assistant-student interactions in computing courses through $400,722 in funding from July 1, 2022 to June 30, 2024. Specifically, the TEA system will help undergraduate teaching assistants quickly debug student code and construct personalized problem...
- The National Science Foundation awarded a $399,592 Project Grant under the STEM Education (formerly Education and Human Resources) program to Virginia Polytechnic Institute & State University, doing business as Virginia Tech, to redesign, implement, and evaluate a training program for computer science teaching assistants (TAs) to help motivate student engagement in large CS courses. The project aims to use evidence-based practices to train about 80 CS TAs per semester on inclusive teaching...
- This National Science Foundation (NSF) Project Grant under the STEM Education program (CFDA 47.076) provides $192,197 to the University of Maryland Baltimore County (UMBC) to develop an innovative inquiry-based learning tool called "TD-Tutor" (Technical Debt Tutor). The project aims to improve undergraduate computing education curricula and prepare students to recognize, evaluate, and manage technical debt in software systems. TD-Tutor will be implemented and evaluated across three...
- The Texas A&M Engineering Experiment Station (Tees) received a $300,000 Project Grant award from the National Science Foundation Division of Undergraduate Education to develop an online, intelligent tutoring system for automated system integration. Funded under the NSF's STEM Education program (CFDA #47.076), the three-year project will create a problem-solving environment to enhance student learning in STEM subjects. Leveraging just-in-time tutoring approaches and online delivery, the...
- This $400,000 project grant awarded by the National Science Foundation (NSF) under the STEM Education program (CFDA 47.076) aims to develop and evaluate the T-PRACTISE system, a framework for fostering engaged asynchronous online and hybrid learning among diverse students, such as adult learners. The project plans to: 1) design, implement, and pilot a proof-of-concept T-PRACTISE system to reduce training and engagement disparities in an asynchronous online environment; 2) adapt and extend...
- This $841,392 Project Grant awarded by the National Science Foundation's STEM Education program (CFDA 47.076) will develop and evaluate a scalable, explainable, teacher-in-the-loop adaptive learning system built on large language models. The project aims to address challenges in traditional adaptive learning systems by leveraging generative AI to automatically generate high-quality learning content and recommendations, while ensuring educators remain central to the instructional process. The...
- This Project Grant award from the National Science Foundation (NSF) under the STEM Education (CFDA 47.076) program provides $344,869 to Tufts University to develop and implement professional development for Learning Assistants (LAs) to improve their facilitation of student learning in active learning STEM courses. The key objectives are to design and implement a new LA pedagogy course sequence based on recent research (Goal 1) and investigate how this pedagogy sequence impacts LA facilitation...
- The National Science Foundation awarded a $1.8 million Project Grant to the University of Colorado Boulder under the Engineering (47.041) federal grant program. The award will fund the development of an AI-augmented tutoring analytics and performance support model to improve the work and professional growth of tutors. Specifically, the university will create a tutoring analytics system using deep learning to analyze tutor-student dialog and provide personalized feedback to tutors. A toolkit will...
- The University of Memphis received a $299,333 Project Grant award from the National Science Foundation on August 1, 2021 to improve the quality of teaching assistant feedback to undergraduate students in introductory computer science courses. Funded through the NSF's STEM Education program (CFDA #47.076), the project aims to provide leadership and ensure the vitality of the nation's science, technology, engineering and mathematics education enterprise. Specifically, the University will develop...
- This Project Grant award from the National Science Foundation (NSF) under the STEM Education (CFDA 47.076) program is funding a $299,813 project titled "Engaging Individual Education Plan Teams as Co-Designers of Middle Grades Computing Activities for Autistic Students." The project aims to develop tools and resources to create computational thinking activities for autistic students that are co-designed with their Individualized Education Plan (IEP) teams. The co-design process will...
THE TUTOR ENGAGEMENT ASSISTANT (TEA): PROMOTING HIGH-QUALITY TA-STUDENT INTERACTIONS -THIS PROJECT AIMS TO SERVE THE NATIONAL INTEREST BY DEVELOPING A NEW SOFTWARE TOOL TO SUPPORT TEACHING ASSISTANT (TA)-STUDENT INTERACTIONS. INCREASING CLASS SIZES IN COMPUTING HAVE LED TO A GREATER RELIANCE ON UNDERGRADUATE TAS TO SUPPORT STUDENT LEARNING. MANY TAS ARE OFTEN ONLY SLIGHTLY MORE EXPERIENCED THAN THE STUDENTS THEY HELP. PROVIDING HELP TO A LEARNER IS A COMPLEX COGNITIVE PROCESS THAT REQUIRES: 1) UNDERSTANDING THE PROBLEM, 2) DEBUGGING THE LEARNER'S INCORRECT SOLUTION, 3) IDENTIFYING CONCEPTUAL GAPS, AND 4) DETERMINING HOW TO BEST FILL THE CONCEPTUAL GAPS. THE GOAL OF THIS PROJECT IS THE DEVELOPMENT OF THE TUTOR ENGAGEMENT ASSISTANT (TEA) SYSTEM. THE TEA SYSTEM WILL HELP UNDERGRADUATE TAS TO QUICKLY DEBUG STUDENT CODE AND CONSTRUCT PERSONALIZED PROBLEM SETS TO STRUCTURE THEIR INTERACTIONS WITH STUDENTS. THIS PROJECT HOPES TO LEAD TO MORE EFFICIENT AND EDUCATIONALLY EFFECTIVE TA HELP IN COMPUTING COURSES NATIONWIDE, AND SHOULD CONTRIBUTE TO RESEARCH IN THE LEARNING SCIENCES, HCI, AND COMPUTING EDUCATION. THIS WORK IS BASED ON TWO THEORIES: SOCIAL CONSTRUCTIONISM AND COGNITIVE LOAD. IT DRAWS ON THE ICAP FRAMEWORK THAT LINKS COGNITIVE ENGAGEMENT WITH ACTIVE LEARNING OUTCOMES. THE PROJECT WILL EXPLORE THE IMPACT OF TEA ON TIME ON TASK, TYPE OF HELP, COGNITIVE LOAD, LEARNER ENGAGEMENT, SELF-EFFICACY, ATTITUDE TOWARDS HELP, HELP-SEEKING BEHAVIOR, AND LEARNING. THE RESEARCH PLAN CONSISTS OF THREE PHASES: 1) BASELINE DATA COLLECTION, 2) FORMATIVE EVALUATION, AND 3) TEA DEPLOYMENT. THE PROJECT WILL LEAD TO 1) A DETAILED UNDERSTANDING OF TUTOR-STUDENT INTERACTIONS THROUGH OBSERVATION STUDIES, 2) NEW APPROACHES TO HELP TUTORS QUICKLY UNDERSTAND STUDENT ERRORS VIA A GUIDED WALKTHROUGH OF AUTOMATICALLY GENERATED CORRECTIONS, 3) TECHNIQUES FOR IDENTIFYING AND CURATING PERSONALIZED PROBLEM SETS FOR STUDENTS, AND 4) AN EVALUATION OF THE IMPACT OF PERSONALIZED PROBLEM SETS ON THE QUALITY OF TUTOR-STUDENT INTERACTIONS AND STUDENT LEARNING. THE NSF IUSE: EHR PROGRAM SUPPORTS RESEARCH AND DEVELOPMENT PROJECTS TO IMPROVE THE EFFECTIVENESS OF STEM EDUCATION FOR ALL STUDENTS. THROUGH THE ENGAGED STUDENT LEARNING TRACK, THE PROGRAM SUPPORTS THE CREATION, EXPLORATION, AND IMPLEMENTATION OF PROMISING PRACTICES AND TOOLS. THIS AWARD REFLECTS NSF'S STATUTORY MISSION AND HAS BEEN DEEMED WORTHY OF SUPPORT THROUGH EVALUATION USING THE FOUNDATION'S INTELLECTUAL MERIT AND BROADER IMPACTS REVIEW CRITERIA.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $0 | 5/28/25 | ||
| Not listed | $99.1k | 6/9/22 |