This project will develop and test a digital platform for middle school mathematics classrooms to help students deepen and communicate their understanding of mathematics. The digital platform will allow students to collaboratively create representations of their mathematics thinking, incorporate ideas from other students, and share their work with the class.
The project will develop and study a professional development program focused on fraction for interventionists who work with grades four and five students with mathematics disabilities and difficulties.
This conference focuses on the use of virtual/mixed reality simulation in the preparation of secondary science teachers. The conference convenes experts in simulation in teacher preparation, practicing high school teachers, and teacher candidates to engage in a design process related to mixed reality simulations. Conference attendees will identify important gaps in science teacher preparation and design prototype simulation environments for addressing those gaps.
Technical assistance is being provided to key leaders in state education agencies (SEAs) to: 1) build SEA leaders' knowledge about effective mathematical professional development research; 2) deepen their understanding about necessary supports and structures that should be in place; and 3) enable SEA leaders to incorporate what they learn and analyze to their existing mathematics college- and career-readiness standards implementation plans.
One crucial predictor of success in STEM disciplines is spatial reasoning ability, which involves mentally manipulating and representing objects in space. However, STEM courses often neglect the purposeful development of spatial reasoning skills, and limited knowledge exists on effective training methods. This project aims to address this gap by: 1) identifying neural and cognitive processes associated with successful mental rotation, a fundamental aspect of spatial reasoning; 2) assessing the responsiveness of these processes to training; and 3) measuring the transfer of training effects to real-world STEM problems, specifically focusing on introductory chemistry.
One crucial predictor of success in STEM disciplines is spatial reasoning ability, which involves mentally manipulating and representing objects in space. However, STEM courses often neglect the purposeful development of spatial reasoning skills, and limited knowledge exists on effective training methods. This project aims to address this gap by: 1) identifying neural and cognitive processes associated with successful mental rotation, a fundamental aspect of spatial reasoning; 2) assessing the responsiveness of these processes to training; and 3) measuring the transfer of training effects to real-world STEM problems, specifically focusing on introductory chemistry.
This mixed-method exploratory study will examine how bilingual teachers working in elementary schools in Massachusetts and Puerto Rico understand the role and skills of engineers in society. In turn, it will examine how teachers adapt existing engineering lessons so that those activities and concepts are more culturally and linguistically accessible to their students.
This exploratory proposal is researching and developing professional learning activities to help high school teachers use available and emerging social media to teach scientific argumentation. The project responds to the growing emphasis on scientific argumentation in new standards.
This project envisions a future of work where advanced technologies provide automated, job-embedded, individualized feedback to drive professional learning of the future worker. To achieve this goal, it addresses a fundamental question: Are evaluative or non-evaluative feedback systems more effective in driving professional learning? This question will be tested on professionals where objective, fine-grained feedback is especially critical to improvement--the teaching professions. This research will be situated within English and language arts (ELA) instruction in middle and high school classrooms, where underperformance and inequality in literacy outcomes are persistent problems facing the U.S. Current methods of supporting teacher learning through feedback are sparse, cumbersome, subjective, and evaluative. Thus, a major reconceptualization is needed to provide feedback mechanisms that- meaningfully affect teacher practice and are accessible to all. In partnership with TeachFX, an industry leader in technology-enabled instructional feedback, this project will work with teachers to design and test systems of automated feedback. Insights from the study will lead to feedback systems that empower teaching professionals, generate continued professional learning, and ultimately, increase student achievement.
This project envisions a future of work where advanced technologies provide automated, job-embedded, individualized feedback to drive professional learning of the future worker. To achieve this goal, it addresses a fundamental question: Are evaluative or non-evaluative feedback systems more effective in driving professional learning? This question will be tested on professionals where objective, fine-grained feedback is especially critical to improvement--the teaching professions. This research will be situated within English and language arts (ELA) instruction in middle and high school classrooms, where underperformance and inequality in literacy outcomes are persistent problems facing the U.S. Current methods of supporting teacher learning through feedback are sparse, cumbersome, subjective, and evaluative. Thus, a major reconceptualization is needed to provide feedback mechanisms that- meaningfully affect teacher practice and are accessible to all. In partnership with TeachFX, an industry leader in technology-enabled instructional feedback, this project will work with teachers to design and test systems of automated feedback. Insights from the study will lead to feedback systems that empower teaching professionals, generate continued professional learning, and ultimately, increase student achievement.
This project envisions a future of work where advanced technologies provide automated, job-embedded, individualized feedback to drive professional learning of the future worker. To achieve this goal, it addresses a fundamental question: Are evaluative or non-evaluative feedback systems more effective in driving professional learning? This question will be tested on professionals where objective, fine-grained feedback is especially critical to improvement--the teaching professions. This research will be situated within English and language arts (ELA) instruction in middle and high school classrooms, where underperformance and inequality in literacy outcomes are persistent problems facing the U.S. Current methods of supporting teacher learning through feedback are sparse, cumbersome, subjective, and evaluative. Thus, a major reconceptualization is needed to provide feedback mechanisms that- meaningfully affect teacher practice and are accessible to all. In partnership with TeachFX, an industry leader in technology-enabled instructional feedback, this project will work with teachers to design and test systems of automated feedback. Insights from the study will lead to feedback systems that empower teaching professionals, generate continued professional learning, and ultimately, increase student achievement.
This project envisions a future of work where advanced technologies provide automated, job-embedded, individualized feedback to drive professional learning of the future worker. To achieve this goal, it addresses a fundamental question: Are evaluative or non-evaluative feedback systems more effective in driving professional learning? This question will be tested on professionals where objective, fine-grained feedback is especially critical to improvement--the teaching professions. This research will be situated within English and language arts (ELA) instruction in middle and high school classrooms, where underperformance and inequality in literacy outcomes are persistent problems facing the U.S. Current methods of supporting teacher learning through feedback are sparse, cumbersome, subjective, and evaluative. Thus, a major reconceptualization is needed to provide feedback mechanisms that- meaningfully affect teacher practice and are accessible to all. In partnership with TeachFX, an industry leader in technology-enabled instructional feedback, this project will work with teachers to design and test systems of automated feedback. Insights from the study will lead to feedback systems that empower teaching professionals, generate continued professional learning, and ultimately, increase student achievement.
The project will create a digital environment for middle school mathematics teachers that is combined with a student collaborative platform for a problem-solving curriculum. The goal is to design and develop the digital collaborative platform so networks of teachers can create, use, and share teaching resources for planning, enactment, and reflection on student thinking.
This project will engage teams of students and teachers of grades 7-12 in four competitive Challenges to design innovative strategies for carbon mitigation in areas such as transportation, agriculture or energy use. The project expands the typical boundaries of schools by enabling teams of students in multiple locations to collaborate in model-based reasoning through online discussion forums, using social media, and crowdsourcing ideas to construct possible solutions to environmental challenges. Project research will examine the impacts of the project on student learning and engagement.
The goals of this project are to 1) develop methods for analyzing data collected to document the institutional setting of mathematics teaching that are specific to equity and access for all middle school students to high quality mathematics instruction; and 2) develop an instrument for assessing the quality of mathematics instruction that focuses specifically on the extent to which all students are supported to substantially participate in academically rigorous mathematics.
High-quality early educational experiences, particularly in mathematics, are crucial for students’ success in K-12 schooling. To create these foundational experiences for young children, early childhood educators need opportunities to enhance their mathematics teaching through job-embedded, sustained professional learning. This partnership development project establish a collaboration among early childhood mathematics educators, school and district leaders, the state department of education, and university faculty in Delaware that aims to enhance children’s early mathematics learning by collaboratively designing support systems for strengthening their teachers’ professional learning.
Tutoring programs that are jointly supported by schools and universities can offer benefits to both parties. The programs, however, are only helpful to the extent they respond to the needs and interests of the students and schools they serve. This project will establish a partnership between a large, urban university and a small, rural high school to collaboratively create a tutoring program to support the mathematics learning of students with learning disabilities.
This project will engage in a community-wide effort to synthesize the literature from a broad range of fields and to use the findings to create frameworks that will guide the planning, implementation, and scale-up of efforts to improve geographic education over the next decade. This will result in a set of publicly reviewed, consensus reports that will guide collaborative efforts and broaden awareness of the acute need for geographic literacy and geographic science education.
This project examines the effect of an assessment system that automatically generates feedback based on students’ open-ended assessment responses in chemistry and physics consistent with a previously-developed learning progression that describes the successively more complex understandings students can develop about electrical interactions. The scoring system will provide individualized feedback to students and class summaries to their teachers.
This project examines the effect of an assessment system that automatically generates feedback based on students’ open-ended assessment responses in chemistry and physics consistent with a previously-developed learning progression that describes the successively more complex understandings students can develop about electrical interactions. The scoring system will provide individualized feedback to students and class summaries to their teachers.
