Cognitive Science

Looking Back and Looking Forward: Increasing the Impact of Educational Research on Practice

The focus of this conference is to carefully examine past and current research with an eye toward improving its impact on practice and to create concrete steps that could shape the nature and impact of mathematics education research.

Lead Organization(s): 
Award Number: 
1941494
Funding Period: 
Sun, 09/01/2019 to Mon, 08/31/2020
Full Description: 

The focus of the proposed conference is to carefully examine past and current research with an eye toward improving its impact on practice. This conference is designed to create concrete steps that could shape the nature and impact of mathematics education research for years to come. A diverse group of 50 participants will be invited to participate. Participants include 10 experienced K-12 educators whose perspectives will be used to anchor the conference in problems of practice. Other participants represent senior through more junior scholars who have demonstrated a commitment to addressing the disconnect between research and practice, along with technology experts to advise participants on capabilities and innovative uses of modern technologies for instruction, assessment and data management.

The overarching goal for the conference is to help the field of mathematics education think deeply about the most productive ways to answer the following questions: [1] Why hasn't past research had a more direct impact on practice? What can be learned from this historical analysis for future research? [2] What is a possible vision for research that would have a more direct impact on practice? What questions should be asked? What methods should be used? What concrete steps can be taken to launch the new research programs? [3] What are the implications of adopting new kinds of research programs? If they gain traction, how will such changes affect the broader education community and infrastructure, including preservice teacher education, teacher professional development, and the training of future researchers? How should the roles of researchers and teachers change? What incentive structures might motivate these changes? How will new programs of research interact with existing programs?

Generalized Embodied Modeling to Support Science through Technology Enhanced Play (Collaborative Research: Danish)

The project will develop and research a new Mixed Reality environment (MR), called GEM-STEP, that leverages play and embodiment as resources for integrating computational modeling into the modeling cycle as part of science instruction for elementary students.

Lead Organization(s): 
Partner Organization(s): 
Award Number: 
1908632
Funding Period: 
Thu, 08/01/2019 to Sun, 07/31/2022
Full Description: 

The project will develop and research a new Mixed Reality environment (MR), called GEM-STEP, that leverages play and embodiment as resources for integrating computational modeling into the modeling cycle as part of science instruction for elementary students. GEM stands for Generalized Embodied Modeling. Through these embodied, play-as-modeling activities, students will learn the core concepts of science, and the conceptual skills of modeling and systematic measurement. MR environments use new sensing technologies to help transform young children's physical actions during pretend play into a set of symbolic representations and parameters in a science simulation. As students physically move around the classroom, the computer will track their motion and interactions with selected objects and translate their physical activity into a shared display. For example, students pretend they are water particles and work together to model different states of matter. The children see their activity projected onto a computer simulation where a model of a water particle is displayed over the video of themselves. As students collectively reflect upon the nature of a water molecule, they refine their understanding of water as ice, a liquid or a gas. The proposed innovation allows the students to program and revise their own mixed reality simulations as part of their modeling cycle. Embodied and computational modeling will help students to reflect on their models in a unique way that will make their models more computationally accurate and enhance their understanding of the underlying concepts.

The project will research how using the body as a component of the modeling cycle differs from and interacts with the articulation of a scientific model through more structured computational means. The project will investigate the benefits of combining embodiment with computational elements in GEM:STEP by studying the range of concepts that students can learn in this manner. Lessons will be developed to address different disciplinary core ideas, such as states of matter, pollination as a complex system, or decomposition, as well as cross-cutting concepts of systems thinking, and energy/matter flow, all of which link directly to upper elementary science curriculum. Project research will gather data to understand what kinds of models students develop, what learning processes are supported using GEM:STEP, and what learning results. The data will include: (1) documenting and analyzing what students modeled and how accurate the models are; (2) recording student activity using audio and voice to code their activity to document learning processes and to look at how different forms of modeling interact with one another to promote learning; and (3) pre-post content measures to assess learning. All of the software that is developed for GEM:STEP will be made available as Open Source projects, allowing other researchers to build upon and extend this work. The results of the research will be disseminated in academic conferences and peer reviewed journals. The motion tracking software is already available on Github, a popular open-source repository. Once developed, the aim is to implement GEM:STEP in a wide range of classroom contexts, supported by a user-friendly interface, teacher guides, and professional development.

Generalized Embodied Modeling to Support Science through Technology Enhanced Play (Collaborative Research: Enyedy)

The project will develop and research a new Mixed Reality environment (MR), called GEM-STEP, that leverages play and embodiment as resources for integrating computational modeling into the modeling cycle as part of science instruction for elementary students.

Lead Organization(s): 
Partner Organization(s): 
Award Number: 
1908791
Funding Period: 
Thu, 08/01/2019 to Sun, 07/31/2022
Full Description: 

The project will develop and research a new Mixed Reality environment (MR), called GEM-STEP, that leverages play and embodiment as resources for integrating computational modeling into the modeling cycle as part of science instruction for elementary students. GEM stands for Generalized Embodied Modeling. Through these embodied, play-as-modeling activities, students will learn the core concepts of science, and the conceptual skills of modeling and systematic measurement. MR environments use new sensing technologies to help transform young children's physical actions during pretend play into a set of symbolic representations and parameters in a science simulation. As students physically move around the classroom, the computer will track their motion and interactions with selected objects and translate their physical activity into a shared display. For example, students pretend they are water particles and work together to model different states of matter. The children see their activity projected onto a computer simulation where a model of a water particle is displayed over the video of themselves. As students collectively reflect upon the nature of a water molecule, they refine their understanding of water as ice, a liquid or a gas. The proposed innovation allows the students to program and revise their own mixed reality simulations as part of their modeling cycle. Embodied and computational modeling will help students to reflect on their models in a unique way that will make their models more computationally accurate and enhance their understanding of the underlying concepts.

The project will research how using the body as a component of the modeling cycle differs from and interacts with the articulation of a scientific model through more structured computational means. The project will investigate the benefits of combining embodiment with computational elements in GEM:STEP by studying the range of concepts that students can learn in this manner. Lessons will be developed to address different disciplinary core ideas, such as states of matter, pollination as a complex system, or decomposition, as well as cross-cutting concepts of systems thinking, and energy/matter flow, all of which link directly to upper elementary science curriculum. Project research will gather data to understand what kinds of models students develop, what learning processes are supported using GEM:STEP, and what learning results. The data will include: (1) documenting and analyzing what students modeled and how accurate the models are; (2) recording student activity using audio and voice to code their activity to document learning processes and to look at how different forms of modeling interact with one another to promote learning; and (3) pre-post content measures to assess learning. All of the software that is developed for GEM:STEP will be made available as Open Source projects, allowing other researchers to build upon and extend this work. The results of the research will be disseminated in academic conferences and peer reviewed journals. The motion tracking software is already available on Github, a popular open-source repository. Once developed, the aim is to implement GEM:STEP in a wide range of classroom contexts, supported by a user-friendly interface, teacher guides, and professional development.

Using Animated Contrasting Cases to Improve Procedural and Conceptual Knowledge in Geometry

This project aims to support stronger student outcomes in the teaching and learning of geometry in the middle grades through engaging students in animated contrasting cases of worked examples. The project will design a series of animated geometry curricular materials on a digital platform that ask students to compare different approaches to solving the same geometry problem. The study will measure changes in students' procedural and conceptual knowledge of geometry after engaging with the materials and will explore the ways in which teachers implement the materials in their classrooms.

Award Number: 
1907745
Funding Period: 
Thu, 08/01/2019 to Sun, 07/31/2022
Full Description: 

This project aims to support stronger student outcomes in the teaching and learning of geometry in the middle grades through engaging students in animated contrasting cases of worked examples. Animated contrasting cases are a set of two worked examples for the same geometry problem, approached in different ways. The animations show the visual moves and annotations students would make in solving the problems. Students are asked to compare and discuss the approaches. This theoretically-grounded approach extends the work of cognitive scientists and mathematics educators who have shown this approach supports strong student learning in algebra. The project will design a series of animated geometry curricular materials on a digital platform that ask students to compare different approaches to solving the same geometry problem. The study will measure changes in students' procedural and conceptual knowledge of geometry after engaging with the materials and will explore the ways in which teachers implement the materials in their classrooms. This work is particularly important as geometry is an understudied area in mathematics education, and national and international assessments at the middle school level consistently identify geometry as a mathematics content area in which students score the lowest.

This project draws on prior work that documents the impact of comparison on students' learning in algebra. Providing students with opportunities to compare multiple strategies is recommended by a range of mathematics policy documents, as research has shown this approach promotes flexibility and enhances conceptual knowledge and procedural fluency. More specifically, the approach allows students to compare the effectiveness and efficiency of mathematical arguments in the context of problem solving. An initial pilot study on non-animated contrasting cases in geometry shows promise for the general approach and suggests that animating the cases has the potential for stronger student learning gains. This study will examine the extent to which the animated cases improve students' conceptual and procedural knowledge of geometry and identify factors that relate to changes in knowledge. The project team will develop 24 worked example contrasting cases based on design principles from the prior work in algebra. The materials will be implemented in four treatment classrooms in the first cycle, revised, and then implemented in eight treatment classrooms. Students' written work will be collected along with data on the nature of the classroom discussions and small-group interviews with students. Teachers' perspectives on lessons will also be collected to support revision and strengthening of the materials. Assessments of students' geometry knowledge will be developed using measures with demonstrated validity and reliability to measure changes in student learning.

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.

Engaging High School Students in Computer Science with Co-Creative Learning Companions (Collaborative Research: Magerko)

This research investigates how state-of-the-art creative and pedagogical agents can improve students' learning, attitudes, and engagement with computer science. The project will be conducted in high school classrooms using EarSketch, an online computer science learning environments that engages learners in making music with JavaScript or Python code.

Award Number: 
1814083
Funding Period: 
Sat, 09/15/2018 to Wed, 08/31/2022
Full Description: 
This research investigates how state-of-the-art creative and pedagogical agents can improve students' learning, attitudes, and engagement with computer science. The project will be conducted in high school classrooms using EarSketch, an online computer science learning environments that engages over 160,000 learners worldwide in making music with JavaScript or Python code. The researchers will build the first co-creative learning companion, Cai, that will scaffold students with pedagogical strategies that include making use of learner code to illustrate abstraction and modularity, suggesting new code to scaffold new concepts, providing help and hints, and explaining its decisions. This work will directly address the national need to develop computing literacy as a core STEM skill.
 
The proposed work brings together an experienced interdisciplinary team to investigate the hypothesis that adding a co-creative learning companion to an expressive computer science learning environment will improve students' computer science learning (as measured by code sophistication and concept knowledge), positive attitudes towards computing (self-efficacy and motivation), and engagement (focused attention and involvement during learning). The iterative design and development of the co-creative learning companion will be based on studies of human collaboration in EarSketch classrooms, the findings in the co-creative literature and virtual agents research, and the researchers' observations of EarSketch use in classrooms. This work will address the following research questions: 1) What are the foundational pedagogical moves that a co-creative learning companion for expressive programming should perform?; 2) What educational strategies for a co-creative learning companion most effectively scaffold learning, favorable attitudes toward computing, and engagement?; and 3) In what ways does a co-creative learning companion in EarSketch increase computer science learning, engagement, and positive attitudes toward computer science when deployed within the sociocultural context of a high school classroom? The proposed research has the potential to transform our understanding of how to support student learning in and broaden participation through expressive computing environments.

Design and Development of Transmedia Narrative-based Curricula to Engage Children in Scientific Thinking and Engineering Design (Collaborative Research: Ellis)

This project will address the need for engineering resources by applying an innovative pedagogy called Imaginative Education (IE) to create middle school engineering curricula. In IE, developmentally appropriate narratives are used to design learning environments that help learners engage with content and organize their knowledge productively. This project will combine IE with transmedia storytelling.

Lead Organization(s): 
Award Number: 
1814033
Funding Period: 
Sun, 07/15/2018 to Thu, 06/30/2022
Full Description: 

Engineering is an important component of the Next Generation Science Standards (NGSS). However, resources for supporting teachers in implementing these standards are scarce. This project will address the need for resources by applying an innovative pedagogy called Imaginative Education (IE) to create middle school engineering curricula. In IE, developmentally appropriate narratives are used to design learning environments that help learners engage with content and organize their knowledge productively. To fully exploit the potential of this pedagogy, this project will combine IE with transmedia storytelling. In transmedia storytelling, different elements of a narrative are spread across a variety of formats (such as books, websites, new articles, videos and other media) in a way that creates a coordinated experience for the user. Once created, the curricula will be implemented in classrooms to research its impact on (1) increasing learners' capacities to engage in both innovative and direct application of engineering concepts, and (2) improving learners' science, technology, engineering, and mathematics (STEM) identity. 

This research will be led by Smith College and Springfield Technical Community College in collaboration with Springfield (MA) Public Schools (SPS). Additional expertise in evaluating the findings will be provided by the Collaborative for Educational Services and an external advisory board of leaders in STEM education and transmedia storytelling. The project will result in the development of a transmedia learning environment that includes two NGSS-aligned, interdisciplinary engineering units and seven lessons that integrate science and engineering. The research study will be implemented in four phases in eight SPS middle schools. Approximately 900 students will participate each year. In Phase 1, the project team will collaborate with SPS teachers to create engineering units, lessons, and standards-based achievement measures. In Phase 2, teachers in the treatment group will participate in professional development (PD) workshops covering IE, transmedia learning environments, structure of the curriculum, and connections to NGSS. In Phase 3 the curricula will be implemented in treatment classrooms and both treatment and control group students will be assessed. In Phase 4, testing and assessment will continue in SPS schools and will be expanded to rural and suburban classrooms. Teachers in these classrooms will use online multimedia PD that will ensure scalability and mirrors the structure and content of in-person PD. Data analysis will provide evidence of whether this imaginative and transmedia educational approach improves students' capacities for using engineering concepts and enhances their STEM identity.


Project Videos

2019 STEM for All Video Showcase

Title: Transforming Engineering Education for Middle School (TEEMS)

Presenter(s): Beth McGinnis-Cavanaugh, Sonia Ellis, & Crystal Ford


Design and Development of Transmedia Narrative-based Curricula to Engage Children in Scientific Thinking and Engineering Design (Collaborative Research: McGinnis-Cavanaugh)

This project will address the need for engineering resources by applying an innovative pedagogy called Imaginative Education (IE) to create middle school engineering curricula. In IE, developmentally appropriate narratives are used to design learning environments that help learners engage with content and organize their knowledge productively. This project will combine IE with transmedia storytelling.

Partner Organization(s): 
Award Number: 
1813572
Funding Period: 
Sun, 07/15/2018 to Thu, 06/30/2022
Project Evaluator: 
Collaborative for Educational Services (CES)
Full Description: 

Engineering is an important component of the Next Generation Science Standards (NGSS). However, resources for supporting teachers in implementing these standards are scarce. This project will address the need for resources by applying an innovative pedagogy called Imaginative Education (IE) to create middle school engineering curricula. In IE, developmentally appropriate narratives are used to design learning environments that help learners engage with content and organize their knowledge productively. To fully exploit the potential of this pedagogy, this project will combine IE with transmedia storytelling. In transmedia storytelling, different elements of a narrative are spread across a variety of formats (such as books, websites, new articles, videos and other media) in a way that creates a coordinated experience for the user. Once created, the curricula will be implemented in classrooms to research its impact on (1) increasing learners' capacities to engage in both innovative and direct application of engineering concepts, and (2) improving learners' science, technology, engineering, and mathematics (STEM) identity. 

This research will be led by Smith College and Springfield Technical Community College in collaboration with Springfield (MA) Public Schools (SPS). Additional expertise in evaluating the findings will be provided by the Collaborative for Educational Services and an external advisory board of leaders in STEM education and transmedia storytelling. The project will result in the development of a transmedia learning environment that includes two NGSS-aligned, interdisciplinary engineering units and seven lessons that integrate science and engineering. The research study will be implemented in four phases in eight SPS middle schools. Approximately 900 students will participate each year. In Phase 1, the project team will collaborate with SPS teachers to create engineering units, lessons, and standards-based achievement measures. In Phase 2, teachers in the treatment group will participate in professional development (PD) workshops covering IE, transmedia learning environments, structure of the curriculum, and connections to NGSS. In Phase 3 the curricula will be implemented in treatment classrooms and both treatment and control group students will be assessed. In Phase 4, testing and assessment will continue in SPS schools and will be expanded to rural and suburban classrooms. Teachers in these classrooms will use online multimedia PD that will ensure scalability and mirrors the structure and content of in-person PD. Data analysis will provide evidence of whether this imaginative and transmedia educational approach improves students' capacities for using engineering concepts and enhances their STEM identity.


Project Videos

2019 STEM for All Video Showcase

Title: Transforming Engineering Education for Middle School (TEEMS)

Presenter(s): Beth McGinnis-Cavanaugh, Sonia Ellis, & Crystal Ford


Developing a Generalized Storyline that Organizes the Supports for Evidence-based Modeling of Long-Term Impacts of Disturbances in Complex Systems

This project will support students to develop evidence-based explanations for the impact of disturbances on complex systems.

Lead Organization(s): 
Award Number: 
1813802
Funding Period: 
Sun, 07/15/2018 to Thu, 06/30/2022
Full Description: 

This project will support students to develop evidence-based explanations for the impact of disturbances on complex systems. The project will focus on middle school environmental science disciplinary core ideas in life, Earth, and physical sciences. There are a wide variety of complex systems principles at work in disturbance ecology. This project serves as a starting point on supporting students to coordinate different sources of information to parse out the direct and indirect effects of disturbances on components of a system and to examine the interconnections between components to predict whether a system will return to equilibrium (resilience) or the system will change into a new state (hysteresis). These same complex systems principles can be applied to other scientific phenomena, such as homeostasis and the spread of infectious disease. This project will bring the excitement of Luquillo Long Term Ecological Research (LTER) to classrooms outside of Puerto Rico, and has a special emphasis on low performing, low income, high minority schools in Chicago. Over 6000 students will directly benefit from participation in the research program. The units will be incorporated into the Journey to El Yunque web site for dissemination throughout Chicago Public Schools (CPS) and the LTER network. The units will be submitted for review at the Achieve network, thus extending the reach to teachers around the country. The project will impact science teachers and curriculum designers through an online course on storyline development. This project aims to improve students' ability to engage in argument from evidence and address what the literature has identified as a significant challenge, namely the ability to evaluate evidence. Researchers will also demonstrate how it is possible to make progress on implementing Next Generation Science Standards in low performing schools. Through the web-based platform, these results can be replicated across many other school districts.

Researchers will to use the scientific context of the LTER program to develop a generalized storyline template for using evidence-based modeling to teach basic principles of disturbance ecology. Though a co-design process with middle school teachers in CPS, researchers will test the application of learning principles to a generalized storyline template by developing and evaluating three units on disturbance ecology - one life science, one Earth system science, and one physical science. Through a task analysis, researchers have identified three key areas of support for students to be successful at explaining how a system will respond to a disturbance. First, students need to be able to record evidence in a manner that will guide them to developing their explanation. Causal model diagrams have been used successfully in the past to organize evidence, but little is known about how students can use their causal diagrams for developing explanations. Second, there have been a wide variety of scaffolds developed to support the evaluation of scientific arguments, but less is known about how to support students in organizing their evidence to produce scientific arguments. Third, evidence-based modeling and scientific argumentation are not tasks that can be successfully accomplished by following a recipe. Students need to develop a task model to understand the reason why they are engaged in a particular task and how that task will contribute to the primary goal of explanation.

Moving Beyond Pedagogy: Developing Elementary Teachers' Adaptive Expertise in Using the Epistemic Complexity of Science

The Next Generation Science Standards (NGSS) emphasize the integration of scientific knowledge and the practices of science, a recognition that science classrooms are complex learning environments. Meeting this expectation requires teachers to move beyond traditional routines of practice to become adaptive experts who can adjust their teaching to maximize learning in varied classroom situations.

Lead Organization(s): 
Award Number: 
1812576
Funding Period: 
Tue, 05/15/2018 to Sat, 04/30/2022
Full Description: 

The Next Generation Science Standards (NGSS) emphasize the integration of scientific knowledge and the practices of science, a recognition that science classrooms are complex learning environments. Meeting this expectation requires teachers to move beyond traditional routines of practice to become adaptive experts who can adjust their teaching to maximize learning in varied classroom situations. A teacher who has adaptive expertise is defined as someone who can self-assess and strategically adjust decision-making before, during and after teaching episodes. To become adaptive experts, teachers must understand the foundational ways that scientific knowledge is advanced and develop knowledge of, and practices related to, using argument, language, and dialogical environments--individually and collectively--as tools for learning science. To effectively use these tools requires teachers to shift from viewing science teaching as the transfer or replication of knowledge through routines of practices to one in which students are participants in a more cognitively based approach to learning. How teachers develop adaptive expertise for NGSS-aligned learning environments is still little understood. This project will examine the complex nature of the relationship between these learning tools and teacher orientation that enables teachers to develop adaptive expertise over the course of a multi-year professional development program.

The project will work with 150 Grade 3-5 teachers in Iowa and Alabama to implement a three-year professional development program to assist teachers develop adaptive expertise. Through implementation of an argument-based inquiry approach focused on development of adaptiveness, teachers will be supported as they shift their expertise from routine to adaptiveness. Project data will include teachers' implementation of the approach, their understanding of science argument, and their shifting epistemic orientation. The project will examine selected case studies of teachers to better understand the variations in development of adaptive expertise. The project outcome will be a model of adaptive expertise that can be used by in-service and pre-service educators to advance teacher practices towards adaptive expertise. The aim is to design ways to transfer adaptive expertise to students in STEM. The mixed-method project will integrate analyses with a focus on understanding complexity, using large-scale quantitative data.

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