Instructional Practices

CAREER: Cultivating Teachers' Epistemic Empathy to Promote Responsive Teaching

This CAREER award aims to study the construct of "epistemic empathy" and examine how it can be cultivated in science and mathematics teacher education, how it functions to promote responsive teaching, and how it shapes learners' engagement in the classroom. In the context of this project, epistemic empathy is defined as the act of understanding and appreciating another's cognitive and emotional experience within an epistemic activity aimed at the construction, communication, and critique of knowledge.

Lead Organization(s): 
Award Number: 
1844453
Funding Period: 
Mon, 07/01/2019 to Sun, 06/30/2024
Full Description: 

When students perceive that their sense-making resources, including their cultural, linguistic, and everyday experiences, are not relevant to their science and mathematics classrooms, they may view these fields as inaccessible to them. This in turn creates an obstacle to their engagement and active participation which becomes particularly consequential for students from traditionally underrepresented populations. This issue points at the pressing need to prepare science and mathematics teachers to open up their instruction to students’ diverse ideas and meaning-making repertoires. This CAREER award aims to address this need by studying the construct of teachers’ "epistemic empathy” which is defined as the act of understanding and appreciating another's cognitive and emotional experience within an epistemic activity—an activity aimed at the construction, communication, and critique of knowledge. Through epistemic empathy, teachers take learners' perspectives and identify with their sense-making experiences in service of fostering their inquiries. The project’s goals are to examine how epistemic empathy can be cultivated in science and mathematics teacher education, how it functions to promote responsive teaching, and how it shapes learners' engagement in the classroom.

The five research questions will be: (1) Do the ways in which pre-service teachers display epistemic empathy change throughout a course aimed at promoting attention to and knowledge about learners’ varied ways of knowing in science and mathematics?; (2) How do the teaching domain and teaching context influence how teachers express epistemic empathy, and the concerns and tensions they report around empathizing with learners’ thinking and emotions?; (3) How does epistemic empathy shape the ways in which teachers understand and reflect on their roles, goals, and priorities as science or mathematics teachers?; (4) How does epistemic empathy shape teachers’ responsiveness to student thinking and emotions during instruction?; and (5) How does teachers’ epistemic empathy influence how students orient and respond to each other’s thinking in science and mathematics classrooms?

To address these questions, the project will conduct a series of design-based research studies working with science and mathematics pre-service and in-service K-12 teachers (n=140) to design, implement, and analyze ways to elicit and cultivate their epistemic empathy. Further, the project will explore how epistemic empathy shapes teachers’ views of their roles, goals, and priorities as science or mathematics teachers and how it influences their enactment of responsive teaching practices. The project will also examine the influence of teachers’ epistemic empathy on student engagement, in particular in the ways students attend and respond to each other’s epistemic experiences in the classroom. Data collection will include video and audio recording of teacher education and professional development sessions; collection of teachers’ work within those sessions such as their responses to a pre- and post- video assessment task and their written analyses of different videos of student inquiry; interviews with the teachers; and videos from the teachers’ own instruction as well as teachers’ reflections on these videos in stimulated recall interviews. These data will be analyzed using both qualitative methods (i.e., discourse analysis, interaction analysis) and quantitative methods (i.e., blind coding, descriptive statistics). The project’s outcomes will be: (1) an instructional model that targets epistemic empathy as a pedagogical resource for teachers, with exemplars of activities and tasks aimed at developing teachers' attunement to and ways of leveraging learners' meaning-making repertoires (2) local theory of teachers' learning to epistemically empathize with learners in science and mathematics; and (3) empirical descriptions of how epistemic empathy functions to guide and shape teachers' responsiveness and students' engagement. An advisory board will provide feedback on the project’s progress, as well as formative and summative evaluation.

Teacher Professional Learning to Support Student Motivational Competencies During Science Instruction (Collaborative Research: Linnenbrink-Garcia)

This project will bring together a multi-disciplinary team of researchers and science teachers to identify a set of practices that science teachers can readily incorporate into their planning and instruction. The project will design, develop, and test a research-based professional learning approach to help middle school science teachers effectively support and sustain student motivational competencies during science instruction.

Lead Organization(s): 
Award Number: 
1813047
Funding Period: 
Sat, 09/01/2018 to Wed, 08/31/2022
Full Description: 

Science teachers identify fostering student motivation to learn as a pressing need, yet teacher professional learning programs rarely devote time to helping teachers understand and apply motivational principles in their instruction. This project will bring together a multi-disciplinary team of researchers and science teachers to identify a set of practices that science teachers can readily incorporate into their planning and instruction. The project will design, develop, and test a research-based professional learning approach to help middle school science teachers effectively support and sustain student motivational competencies during science instruction. The approach will include use of materials addressing student motivational processes and how to support them, evaluation tools to measure student motivational competencies, lesson planning tools, and instruments for teacher self-evaluation. The translation to practice will include recognition of student diversity and consider ways to facilitate context-specific integration of disciplinary and motivational knowledge in practice. The project will focus on middle school science classrooms because this period is an important motivational bridge between elementary and secondary science learning. This project will enhance understanding of teacher pedagogical content knowledge (PCK) in that it frames knowledge about supporting motivational competencies in science as PCK rather than general pedagogical knowledge.

This early stage design and development project will iteratively develop and study a model of teacher professional learning that will help middle school science teachers create, modify, and implement instruction that integrates support for students' motivational competencies with the science practices, crosscutting concepts, and disciplinary core ideas specified in science curriculum standards. A design-based research approach will be used to develop and test four resources teachers will use to explicitly include attention to student motivational competencies in their lesson planning efforts. The resources will include: 1) educational materials about students' motivational processes with concrete examples of how to support them; 2) easy-to-implement student evaluation tools for teachers to gauge students' motivational competencies; 3) planning tools to incorporate motivational practices into science lesson planning; and 4) instruments for teacher self-evaluation. A collaborative group of educational researchers will partner with science teachers from multiple school districts having diverse student populations to jointly develop the professional learning approach and resources. This project will contribute to systemic change by moving motivational processes from an implicit element of educating students, to an explicit and intentional set of strategies teachers can enact. Research questions will focus on how teachers respond to the newly developed professional learning model, and how students respond to instruction developed through implementing the model.

Using Technology to Capture Classroom Interactions: The Design, Validation, and Dissemination of a Formative Assessment of Instruction Tool for Diverse K-8 Mathematics Classrooms

This project will refine, expand, and validate a formative assessment tool called Math Habits Tool (MHT) for kindergarten through 8th grade classrooms. MHT is intended to capture and understand patterns of in-the-moment teacher-student and student-student classroom interactions in ways that can promote more equitable access to high quality math learning experiences for all students.

Lead Organization(s): 
Award Number: 
1814114
Funding Period: 
Sat, 09/15/2018 to Wed, 08/31/2022
Full Description: 

An important aspect of mathematics teaching and learning is the provision of timely and targeted feedback to students and teachers on the teaching and learning processes. However, many of the tools and resources focused on providing such feedback (e.g., formative assessment) are aimed at helping students. However, formative assessment of teaching can be equally transformative for teachers and school leaders and is a key component of improved teacher practice. This project will refine, expand and validate a formative assessment tool called Math Habits Tool (MHT) for kindergarten through 8th grade classrooms. MHT is intended to capture and understand patterns of in-the-moment teacher-student and student-student classroom interactions in ways that can promote more equitable access to high quality math learning experiences for all students. The tablet or computer-based tool is intended for use with teacher leaders, principals, coaches, and others interested in assessing teacher practice in a formative way.

This project will continue the development of the MHT through: (1) the integration of an access component; (2) analysis of videos collected during prior studies covering a diverse set of classrooms across the K-8 spectrum; (2) a validation study using validity-argument approach; and (3) the development, piloting, and refinement of professional development modules that will guide math educators, researchers, and practitioners in using the MHT effectively as a formative assessment of instruction. The revised MHT will be validated through analyses of video data from a range of K-8 classrooms with varying demographics and contexts such as socio-economic status, language backgrounds, gender, school settings (e.g., urban, rural, suburban), and race, with particular attention to increasing accessibility to mathematics learning by students who are traditionally underserved, including emergent bilingual students. The data analysis plan involves video coding with multiple checks on reliability, dimensionality analysis with optimal scaling, correlation analysis, and hierarchical linear modeling.

Teacher Professional Learning to Support Student Motivational Competencies During Science Instruction (Collaborative Research: Marchand)

This project will bring together a multi-disciplinary team of researchers and science teachers to identify a set of practices that science teachers can readily incorporate into their planning and instruction. The project will design, develop, and test a research-based professional learning approach to help middle school science teachers effectively support and sustain student motivational competencies during science instruction.

Award Number: 
1812976
Funding Period: 
Sat, 09/01/2018 to Wed, 08/31/2022
Full Description: 

Science teachers identify fostering student motivation to learn as a pressing need, yet teacher professional learning programs rarely devote time to helping teachers understand and apply motivational principles in their instruction. This project will bring together a multi-disciplinary team of researchers and science teachers to identify a set of practices that science teachers can readily incorporate into their planning and instruction. The project will design, develop, and test a research-based professional learning approach to help middle school science teachers effectively support and sustain student motivational competencies during science instruction. The approach will include use of materials addressing student motivational processes and how to support them, evaluation tools to measure student motivational competencies, lesson planning tools, and instruments for teacher self-evaluation. The translation to practice will include recognition of student diversity and consider ways to facilitate context-specific integration of disciplinary and motivational knowledge in practice. The project will focus on middle school science classrooms because this period is an important motivational bridge between elementary and secondary science learning. This project will enhance understanding of teacher pedagogical content knowledge (PCK) in that it frames knowledge about supporting motivational competencies in science as PCK rather than general pedagogical knowledge.

This early stage design and development project will iteratively develop and study a model of teacher professional learning that will help middle school science teachers create, modify, and implement instruction that integrates support for students' motivational competencies with the science practices, crosscutting concepts, and disciplinary core ideas specified in science curriculum standards. A design-based research approach will be used to develop and test four resources teachers will use to explicitly include attention to student motivational competencies in their lesson planning efforts. The resources will include: 1) educational materials about students' motivational processes with concrete examples of how to support them; 2) easy-to-implement student evaluation tools for teachers to gauge students' motivational competencies; 3) planning tools to incorporate motivational practices into science lesson planning; and 4) instruments for teacher self-evaluation. A collaborative group of educational researchers will partner with science teachers from multiple school districts having diverse student populations to jointly develop the professional learning approach and resources. This project will contribute to systemic change by moving motivational processes from an implicit element of educating students, to an explicit and intentional set of strategies teachers can enact. Research questions will focus on how teachers respond to the newly developed professional learning model, and how students respond to instruction developed through implementing the model.

Teacher Professional Learning to Support Student Motivational Competencies During Science Instruction (Collaborative Research: Harris)

This project will bring together a multi-disciplinary team of researchers and science teachers to identify a set of practices that science teachers can readily incorporate into their planning and instruction. The project will design, develop, and test a research-based professional learning approach to help middle school science teachers effectively support and sustain student motivational competencies during science instruction.

Lead Organization(s): 
Award Number: 
1907480
Funding Period: 
Sat, 09/01/2018 to Wed, 08/31/2022
Full Description: 

Science teachers identify fostering student motivation to learn as a pressing need, yet teacher professional learning programs rarely devote time to helping teachers understand and apply motivational principles in their instruction. This project will bring together a multi-disciplinary team of researchers and science teachers to identify a set of practices that science teachers can readily incorporate into their planning and instruction. The project will design, develop, and test a research-based professional learning approach to help middle school science teachers effectively support and sustain student motivational competencies during science instruction. The approach will include use of materials addressing student motivational processes and how to support them, evaluation tools to measure student motivational competencies, lesson planning tools, and instruments for teacher self-evaluation. The translation to practice will include recognition of student diversity and consider ways to facilitate context-specific integration of disciplinary and motivational knowledge in practice. The project will focus on middle school science classrooms because this period is an important motivational bridge between elementary and secondary science learning. This project will enhance understanding of teacher pedagogical content knowledge (PCK) in that it frames knowledge about supporting motivational competencies in science as PCK rather than general pedagogical knowledge.

This early stage design and development project will iteratively develop and study a model of teacher professional learning that will help middle school science teachers create, modify, and implement instruction that integrates support for students' motivational competencies with the science practices, crosscutting concepts, and disciplinary core ideas specified in science curriculum standards. A design-based research approach will be used to develop and test four resources teachers will use to explicitly include attention to student motivational competencies in their lesson planning efforts. The resources will include: 1) educational materials about students' motivational processes with concrete examples of how to support them; 2) easy-to-implement student evaluation tools for teachers to gauge students' motivational competencies; 3) planning tools to incorporate motivational practices into science lesson planning; and 4) instruments for teacher self-evaluation. A collaborative group of educational researchers will partner with science teachers from multiple school districts having diverse student populations to jointly develop the professional learning approach and resources. This project will contribute to systemic change by moving motivational processes from an implicit element of educating students, to an explicit and intentional set of strategies teachers can enact. Research questions will focus on how teachers respond to the newly developed professional learning model, and how students respond to instruction developed through implementing the model.

This project was previously funded under award #1813086.

Professional Development Supports for Teaching Bioinformatics through Mobile Learning

This project will investigate the professional development supports needed for teaching bioinformatics at the high school level. The project team will work with biology and mathematics teachers to co-design instructional modules to engage students with core bioinformatics concepts and computational literacies, by focusing on local community health issues supported through mobile learning activities.

Lead Organization(s): 
Award Number: 
1812738
Funding Period: 
Sat, 09/01/2018 to Mon, 02/28/2022
Full Description: 

Bioinformatics is an emerging area of research that develops new knowledge through computational analysis of vast biological and biomedical data. This project will investigate the professional development supports needed for teaching bioinformatics at the high school level. Building from a robust literature in professional development design research, project team will work with biology and mathematics teachers to co-design instructional modules to engage students with core bioinformatics concepts and computational literacies, by focusing on local community health issues supported through mobile learning activities. The overarching goal of the project is to help create an engage population of informatics-informed students who are capable of critically analyzing information and able to solve local problems related to their health and well-being.

The project team will use a design-based implementation research approach to identify the curricular and instructional supports needed to achieve the teaching and learning goals through iterative project revisions, employing mixed methods to evaluate teacher and student learning processes and outcomes. Teachers from local high needs schools will participate in a three-week summer workshop, where they will learn about state-of-the-art bioinformatics content, project-based pedagogies that promote computational literacy, and strategies integrate mobile technologies into instruction.  They will implement the instructional units during the year, and the summer workshop will be revised and delivered to an expanded cohort of teachers the following summer. The data collection and analysis conducted on teachers' enactment of these modules will reveal the professional development and implementation areas needed to support particular populations, specifically underrepresented groups in STEM, to engage with bioinformatics learning and take authentic action on local community issues.

Translating a Video-based Model of Teacher Professional Development to an Online Environment

This project will adapt an effective in-person teacher professional development model to an online approach. A defining feature of the Science Teachers Learning from Lesson Analysis (STeLLA) Professional Development program is its use of videos of classroom instruction and examples of student work to promote teacher learning. Adapting the STeLLA program to an online learning model can reach a broader and more diverse audience, such as teachers working in rural school districts and underserved communities.

Lead Organization(s): 
Partner Organization(s): 
Award Number: 
1813127
Funding Period: 
Sat, 09/01/2018 to Tue, 08/31/2021
Full Description: 

Improving the quality of teaching is essential to improving student outcomes. But what are the most effective ways to support teachers' professional development?  BSCS Science Learning and the University of Minnesota STEM Education Program Area explore this question by adapting an effective teacher professional development model -- that meets face-to-face in real-time -- to an online approach. A defining feature of the Science Teachers Learning from Lesson Analysis (STeLLA) Professional Development program is its use of videos of classroom instruction and examples of student work to promote teacher learning. Skilled facilitators guide teachers' analysis and discussion of other teachers' work; then, teachers begin to apply the analytical techniques they have learned to their own teaching. Adapting the STeLLA program to an online learning model is important because it can reach a broader and more diverse audience such as teachers working in rural school districts and underserved communities. To further promote the reach of STeLLA, the online version of STeLLA will engage and prepare teacher leaders to support their peers' engagement and understanding.

Guided by theories of situated cognition and cognitive apprenticeship this project focuses on two questions: How can the STeLLA professional development model be adapted to an online environment? and Does participation in the online model show meaningful teacher and student outcomes related to science teaching and learning? Challenges related to adaptation include understanding the duration and intensity of teacher engagement, the quality of their science content learning experiences, and how teacher learning is scaffolded across the online and traditional model. The project will unfold in two phases. Phase 1 uses a design-based research approach to rapidly enact, test, and revise online program components while remaining true to the design principles underlying the traditional STeLLA PD program. Phase 2 uses a quasi-experimental approach to test STeLLA Online's influence on teacher content knowledge, pedagogical content knowledge, practice and on upper elementary student science achievement. Comparisons will be made between STeLLA Online, face-to-face STeLLA, and a traditional professional development program that emphasizes deepening content knowledge only. This comparison leverages data from a previously-completed cluster randomized trial of STeLLA funded by the NSF.

Supporting Teachers in Responsive Instruction for Developing Expertise in Science (Collaborative Research: Linn)

This project takes advantage of advanced technologies to support science teachers to rapidly respond to diverse student ideas in their classrooms. Students will use web-based curriculum units to engage with models, simulations, and virtual experiments to write multiple explanations for standards-based science topics. The project will also design planning tools for teachers that will make suggestions relevant research-proven instructional strategies based on the real-time analysis of student responses.

Partner Organization(s): 
Award Number: 
1813713
Funding Period: 
Sat, 09/01/2018 to Wed, 08/31/2022
Full Description: 

Many teachers want to adapt their instruction to meet student learning needs, yet lack the time to regularly assess and analyze students' developing understandings. The Supporting Teachers in Responsive Instruction for Developing Expertise in Science (STRIDES) project takes advantage of advanced technologies to support science teachers to rapidly respond to diverse student ideas in their classrooms. In this project students will use web-based curriculum units to engage with models, simulations, and virtual experiments to write multiple explanations for standards-based science topics. Advanced technologies (including natural language processing) will be used to assess students' written responses and summaries their science understanding in real-time. The project will also design planning tools for teachers that will make suggestions relevant research-proven instructional strategies based on the real-time analysis of student responses. Research will examine how teachers make use of the feedback and suggestions to customize their instruction. Further we will study how these instructional changes help students develop coherent understanding of complex science topics and ability to make sense of models and graphs. The findings will be used to refine the tools that analyze the student essays and generate the summaries; improve the research-based instructional suggestions in the planning tool; and strengthen the online interface for teachers. The tools will be incorporated into open-source, freely available online curriculum units. STRIDES will directly benefit up to 30 teachers and 24,000 students from diverse school settings over four years.

Leveraging advances in natural language processing methods, the project will analyze student written explanations to provide fine-grained summaries to teachers about strengths and weaknesses in student work. Based on the linguistic analysis and logs of student navigation, the project will then provide instructional customizations based on learning science research, and study how teachers use them to improve student progress. Researchers will annually conduct at least 10 design or comparison studies, each involving up to 6 teachers and 300-600 students per year. Insights from this research will be captured in automated scoring algorithms, empirically tested and refined customization activities, and data logging techniques that can be used by other research and curriculum design programs to enable teacher customization.

Supporting Teachers in Responsive Instruction for Developing Expertise in Science (Collaborative Research: Riordan)

This project takes advantage of advanced technologies to support science teachers to rapidly respond to diverse student ideas in their classrooms. Students will use web-based curriculum units to engage with models, simulations, and virtual experiments to write multiple explanations for standards-based science topics. The project will also design planning tools for teachers that will make suggestions relevant research-proven instructional strategies based on the real-time analysis of student responses.

Lead Organization(s): 
Award Number: 
1812660
Funding Period: 
Sat, 09/01/2018 to Wed, 08/31/2022
Full Description: 

Many teachers want to adapt their instruction to meet student learning needs, yet lack the time to regularly assess and analyze students' developing understandings. The Supporting Teachers in Responsive Instruction for Developing Expertise in Science (STRIDES) project takes advantage of advanced technologies to support science teachers to rapidly respond to diverse student ideas in their classrooms. In this project students will use web-based curriculum units to engage with models, simulations, and virtual experiments to write multiple explanations for standards-based science topics. Advanced technologies (including natural language processing) will be used to assess students' written responses and summaries their science understanding in real-time. The project will also design planning tools for teachers that will make suggestions relevant research-proven instructional strategies based on the real-time analysis of student responses. Research will examine how teachers make use of the feedback and suggestions to customize their instruction. Further we will study how these instructional changes help students develop coherent understanding of complex science topics and ability to make sense of models and graphs. The findings will be used to refine the tools that analyze the student essays and generate the summaries; improve the research-based instructional suggestions in the planning tool; and strengthen the online interface for teachers. The tools will be incorporated into open-source, freely available online curriculum units. STRIDES will directly benefit up to 30 teachers and 24,000 students from diverse school settings over four years.

Leveraging advances in natural language processing methods, the project will analyze student written explanations to provide fine-grained summaries to teachers about strengths and weaknesses in student work. Based on the linguistic analysis and logs of student navigation, the project will then provide instructional customizations based on learning science research, and study how teachers use them to improve student progress. Researchers will annually conduct at least 10 design or comparison studies, each involving up to 6 teachers and 300-600 students per year. Insights from this research will be captured in automated scoring algorithms, empirically tested and refined customization activities, and data logging techniques that can be used by other research and curriculum design programs to enable teacher customization.

GeoHazard: Modeling Natural Hazards and Assessing Risks

This project will develop and test a new instructional approach that integrates a data analysis tool with Earth systems models in a suite of online curriculum modules for middle and high school Earth science students. The modules will facilitate development of rich conceptual understandings related to the system science of natural hazards and their impacts.

Lead Organization(s): 
Award Number: 
1812362
Funding Period: 
Sat, 09/01/2018 to Wed, 08/31/2022
Full Description: 

As human populations grow and spread into areas where extreme natural events impact lives, there is increasing need for innovative Earth science curriculum materials that help students interpret data and and understand the factors and risks associated with natural hazards. Studying the processes underlying these naturally occurring events and the relationships between humans and their environments would enrich the standard Earth science curriculum by providing students with valuable insights about the potential impacts of extreme natural events. This project will respond to that need by developing and testing a new instructional approach that integrates a data analysis tool with Earth systems models in a suite of online curriculum modules for middle and high school Earth science students. Each module will be designed as a sequence of activities lasting approximately 7-10 class periods. These will be stand-alone modules so each teacher can implement just one module or several modules. The modules will facilitate development of rich conceptual understandings related to the system science of natural hazards and their impacts. Students will develop scientific arguments that include risk assessment based on their understanding of real-world data and the particular Earth system being studied. The project will develop a set of computational models designed specifically to explore geoscience systems responsible for natural hazards. An open-source data analysis tool will also be modified for students to create and analyze visualizations of the magnitude, frequency, and distribution of real-world hazards and the impact of those hazards on people. Students will compare data generated from the Earth systems models with real-world data in order to develop an understanding of the cause and progression of natural hazards, as well as to make predictions and evaluate future risks.

The four-year, early stage design and development project will be conducted in two phases. In Phase 1, design-based research will be used to iteratively design and test Earth systems models. A team of five lead teachers will field test modules and provide focus group feedback during the development phase of the curricula. These lead teachers will provide input into the design and development of the tools, the organization and structure of the curriculum, and provide suggestions about classroom implementation to support the development of teacher support materials. After the models are developed, four curriculum modules related to hurricanes, earthquakes, floods, and wildfires will be developed, tested, and revised. In Phase 2, a group of 30 teachers will participate in implementation studies that will test usability of the modules across students from diverse backgrounds and feasibility of implementation across a range of classroom settings. Research will focus on understanding how to support student analysis of real-world datasets in order to improve their conceptual understanding of complex Earth systems associated with natural hazards. The project will also examine the role of uncertainty when students make scientific arguments that include predictions about the behaviors of complex systems and the uncertainties related to risk assessment. The project aims to clarify student views of uncertainty and how teachers can better support student understanding of the inherently uncertain nature of systems, models, and natural hazards, while understanding that models can be used to reduce impact. Questions guiding project research include: (1) How do students use flexible data visualizations to make sense of data and build and refine conceptual models about natural hazards? (2) How do students incorporate data from models and the real world in formulating scientific arguments; how do students use scientific uncertainty to assess risks based on their understanding of a natural hazard system; and how do students quantify and explain risks to humans and compare different sources of risks? And (3) Do GeoHazard curriculum modules help students make gains in risk-infused scientific argumentation practice and conceptual understanding underlying natural hazards? To what extent, for whom, and under what conditions is the GeoHazard curriculum useful in developing risk-infused scientific argumentation practice and conceptual understanding?

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