Quantitative

Extending and Investigating the Impact of the High School Model-based Educational Resource (Collaborative Research: Wilson)

This project builds on a line of work that has developed and studied the Model Based Educational Resource (MBER), a year-long curriculum for high school biology. The project will generate rigorous causal evidence on how this approach to biology teaching and learning can support student learning, and foundational information on how to support high school teachers in improving their teaching. It will also provide resources to expand and update MBER to reflect the changing high school science landscape by integrating Earth Science standards into the year long sequence.

Lead Organization(s): 
Award Number: 
1813538
Funding Period: 
Wed, 08/01/2018 to Sun, 07/31/2022
Full Description: 

This project builds on a line of work that has developed and studied the Model Based Educational Resource (MBER), a year-long curriculum for high school biology. In classrooms using MBER, modeling serves as an anchoring practice that keeps the inquiry tied to the goal of making sense of the world, helping teachers to engage their students in a range of cognitive and social activities that lead to deep understanding of scientific ideas. This project will generate rigorous causal evidence on how this approach to biology teaching and learning can support student learning, and foundational information on how to support high school teachers in improving their teaching. This funding will also provide resources to expand and update MBER to reflect the changing high school science landscape by integrating Earth Science standards into the year long sequence. The study will address the general research question: What is the impact of the Model Based Educational Resource (MBER) on high school students' science achievement, and what factors influence that impact? In addition to generating important research findings, the materials revised and studied in this project will be open-source and freely available to teachers and schools.

This study addresses a significant gap in the research on next generation curriculum materials. While there is emerging agreement about the importance of instructional materials in supporting teachers in effectively engaging students in the practices of science, there is very little empirical evidence to support such claims. The goal of this project is to study the impact of the MBER program through a cluster randomized trial and expand the promise of efficacy and feasibility established in previous work. This study will be able to make causal claims by using an experimental design in which 32 high school teachers serve as their own controls, and by using multi-level modeling in the analysis. This study will advance the field's knowledge about the impact of innovative materials on student learning, measured by both project-level assessments and the state science test. Exploratory research questions will examine a) how using the MBER program develops teachers' vision of the Next Generation Science Standards, b) how student learning is mediated by the fidelity of implementation of the materials, c) how teachers interact with materials designed to be modified for their classroom context, and d) to what extent the MBER materials provide equitable opportunities to learn and close achievement gaps.

Science Communities of Practice Partnership

This project will study implementation of an effective professional learning model for elementary science teachers that includes teacher leaders, administrators and university educators in a system perspective for improving science instruction in ways that make it sustainable.

Award Number: 
1813012
Funding Period: 
Wed, 08/01/2018 to Sun, 07/31/2022
Full Description: 

This project will study implementation of an effective professional learning model for elementary science teachers that includes teacher leaders, administrators and university educators in a system perspective for improving science instruction in ways that make it sustainable. The working model involves reciprocal communities of practice, which are groups of teachers, leaders and administrators that focus on practical tasks and how to achieve them across these stakeholder perspectives. The project will provide evidence about the specific components of the professional development model that support sustainable improvement in science teaching, will test the ways that teacher ownership and organizational conditions mediate instructional change, and will develop four tools for facilitating the teacher learning and the accompanying capacity building. In this way, the project will produce practical knowledge and tools necessary for other school districts nationwide to create professional learning that is tailored to their contexts and therefore sustainable.

This study posits that communication among district teachers, teacher leaders, and administrators, and a sense of ownership for improved instruction among teachers can support sustainable change. As such, it tests a model that fosters communication and ownership through three reciprocal communities of practice--one about district leadership including one teacher per school, coaches and university faculty; another about lesson study including teachers, coaches and faculty; and a third about instructional innovation including teachers and administrators, facilitated by coaches. The research design seeks to inform what the communities of practice add to the effects in a quasi-experimental study involving 72 third to fifth grade teachers and 6500 students in four urban school districts. Mixed methodologies will be used to examine shifts in science teaching over three years, testing the professional development model and the mediating roles of reform ownership and organizational conditions.

Strengthening Data Literacy across the Curriculum (SDLC)

This project is developing and studying high school curriculum modules that integrate social justice topics with statistical data investigations to promote skills and interest in data science among underrepresented groups in STEM.

Award Number: 
1813956
Funding Period: 
Sun, 07/01/2018 to Wed, 06/30/2021
Full Description: 

The Strengthening Data Literacy across the Curriculum (SDLC) project is an exploratory/early stage design and development effort that aims to promote understanding of core statistical concepts and interest in quantitative data analysis among high school students from underrepresented groups in STEM. Led by a collaboration of researchers and developers at Education Development Center (EDC), statistics educators at California Polytechnic State University (Cal Poly), and technology developers at The Concord Consortium, the project is creating and studying a set of curriculum modules targeted to high school students who are taking mathematics or statistics classes that are not at advanced-placement (AP) levels. Iteratively developed and tested in collaboration with high school statistics and social studies teachers, the modules consist of applied data investigations structured around a four-step data investigation cycle that engage students in explorations of authentic social science issues using large-scale data sets from the U.S. Census Bureau. The project hypothesizes that students who engage in guided investigations using data visualization tools to explore and visualize statistical concepts may develop deeper understandings of these concepts as well as the data investigation process. Similarly, high school students – particularly those from historically marginalized groups who are underrepresented in STEM fields – may develop greater interest in statistics when they can use data to examine patterns of social and economic inequality and questions related to social justice.

One module, Investigating Income Inequality in the U.S., focuses on describing, comparing, and making sense of quantitative variables. Students deepen their understanding of this content by investigating questions such as: How have incomes for higher- and lower-income individuals in the U.S. changed over time? How much income inequality exists between males and females in the U.S.? Does education explain the wage gap between males and females? Another module, Investigating Immigration to the U.S., focuses on describing, comparing, and making sense of categorical variables. Students investigate questions such as: Are there more immigrants in the U.S. today than in previous years? Where have immigrants to the U.S. come from, now and in the past? Are immigrants as likely as the U.S. born to be participating in the labor force, after adjusting for education? Students conduct these analyses using the Common Online Data Analysis Platform (CODAP), an open-source set of tools that supports data visualization and conceptual understanding of statistical ideas over calculations. Lessons encourage collaborative inquiry and provide students with experiences in multivariable analysis—an important domain that is underemphasized in current high school mathematics and statistics curricula but critical for analyzing data in a big-data world.

The project is using a mixed methods approach to study three primary research questions: 1) What is the feasibility of implementing SDLC modules, and what supports may teachers and students need to use the modules? 2) In what ways may different features and components of the SDLC modules help to promote positive student learning and interest outcomes? 3) To what extent do students show greater interest in statistics and data analysis, as well as improved understandings of target statistical concepts, after module use? To investigate these questions, the project has worked with 12 mathematics and six social studies teachers in diverse public high schools in Massachusetts and California to conduct iterative research with over 600 students. Through this work, the project aims to build knowledge of curriculum-based approaches that prepare and attract more diverse populations to data science fields.

Improving Multi-Dimensional Assessment and Instruction: Building and Sustaining Elementary Science Teachers' Capacity through Learning Communities (Collaborative Research: Lehman)

The main goal of this project is to better understand how to build and sustain the capacity of elementary science teachers in grades 3-5 to instruct and formatively assess students in ways that are aligned with contemporary science education frameworks and standards. To achieve this goal, the project will use classroom-based science assessment as a focus around which to build teacher capacity in science instruction and three-dimensional learning in science.

Lead Organization(s): 
Partner Organization(s): 
Award Number: 
1813938
Funding Period: 
Sun, 07/01/2018 to Thu, 06/30/2022
Full Description: 

This is an Early-Stage Design and Development collaborative effort submitted to the assessment strand of the Discovery Research PreK-12 (DRK-12) Program. Its main goal is to better understand how to build and sustain the capacity of elementary science teachers in grades 3-5 to instruct and formatively assess students in ways that are aligned with contemporary science education frameworks and standards. To achieve this goal, the project will use classroom-based science assessment as a focus around which to build teacher capacity in science instruction and three-dimensional learning in science. The three dimensions will include disciplinary core ideas, science and engineering practices, and crosscutting concepts. These dimensions are described in the Framework for K-12 Science Education (National Research Council; NRC, 2012), and the Next Generation Science Standards (NGSS; NGSS Lead States, 2013). The project will work closely with teachers to co-develop usable assessments and rubrics and help them to learn about three-dimensional assessment and instruction. Also, the project will work with teachers to test the developed assessments in diverse settings, and to create an active, online community of practice.

The two research questions will be: (1) How well do these assessments function with respect to aspects of validity for classroom use, particularly in terms of indicators of student proficiency, and tools to support teacher instructional practice?; and (2) In what ways do providing these assessment tasks and rubrics, and supporting teachers in their use, advance teachers' formative assessment practices to support multi-dimensional science instruction? The research and development components of this project will produce assessments and rubrics, which can directly impact students and teachers in the districts and states that have adopted the NGSS, as well as those that have embraced the vision of science teaching and learning embodied in the NRC Framework. The project will consist of five major tasks. First, the effort will iteratively develop assessments and rubrics for formative use, using an evidence-centered design approach. Second, it will collect data from evidence-based revision and redesign of the assessments from teachers piloting the assessments and rubrics, project cognitive laboratory studies with students, and an external review of the assessments design products. Third, it will study teachers' classroom use of assessments to understand and document how they blend assessment and instruction. The project will use pre/post questionnaires, video recordings, observation field notes, and pre/post interviews. Fourth, the study will build the capacity of participating teachers. Teacher Collaborators (n=9) will engage in participatory design of the assessment tasks and act as technical assistants to the overall implementation process. Teacher Implementers (n=15) will use the assessments formatively as part of their instructional practice. Finally, the work will develop a community of learners through the development of a technical assistance infrastructure, and leveraging teacher expertise to formatively assess students' work, using the assessments designed to be diagnostic and instructionally informative. External reviewers and an advisory board will provide formative feedback on the project's processes and summative evaluation of the project's results. The main outcomes of this endeavor will be prototypes of elementary science multi-dimensional assessments and new knowledge for the field on the underlying theory for developing teachers' capacity for engaging in multi-dimensional science instruction, learning, and assessment.

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.

CAREER: Supporting Elementary Science Teaching and Learning by Integrating Uncertainty Into Classroom Science Investigations

The goal of this study is to improve elementary science teaching and learning by developing, testing, and refining a framework and set of tools for strategically incorporating forms of uncertainty central to scientists' sense-making into students' empirical learning.

Lead Organization(s): 
Award Number: 
1749324
Funding Period: 
Fri, 06/01/2018 to Wed, 05/31/2023
Full Description: 

The goal of this study will be to improve elementary science teaching and learning by developing, testing, and refining a framework and set of tools for strategically incorporating forms of uncertainty central to scientists' sense-making into students' empirical learning. The framework will rest on the notion that productive uncertainty should be carefully built into students' empirical learning experiences in order to support their engagement in scientific practices and understanding of disciplinary ideas. To re-conceptualize the role of empirical investigations, the study will focus on the transitions between the experiences and processes students seek to understand, classroom investigations, evidence, and explanatory models as opportunities for sense-making, and how uncertainty can be built into these transitions. The project's underlying assumption is that carefully implementing these forms of uncertainty will help curriculum developers and teachers avoid the oversimplified investigations that are prevalent in K-8 classrooms that stand in stark contrast to authentic science learning and the recommendations of the Framework for K-12 Science Education (National Research Council, 2012). Accordingly, the project will seek to develop curriculum design guidelines, teacher tools, professional development supports, and four elaborated investigations, including sets of lessons, videos, and assessments that embed productive uncertainty for second and fifth graders and designed for use with linguistically, culturally, and socio-economically diverse students.

The hypothesis of this work is that if specific forms of scientific uncertainty are carefully selected, and if teachers can implement these forms of uncertainty, elementary students will have more robust opportunities to develop disciplinary practices and ideas in ways consistent with the Next Generation Science Standards (NGSS) (Lead States, 2013). Employing Design-Based Research, the three research questions will be: (1) What opportunities for sense-making do elementary school empirical investigations afford where we might strategically build uncertainty?; (2) How can we design learning environments where uncertainty in empirical investigations supports opportunities for learning?; and (3) In classrooms with sustained opportunities to engage with uncertainty in empirical investigations, what progress do students make in content understandings and the practices of argumentation, explanation, and investigation? The work will consist of three design cycles: Design Cycle 1 will involve two small groups of six teachers in adapting their curricula to incorporate uncertainty, then describe how students engage around uncertainty in empirical investigations. Design Cycle 2 will involve the same small groups in implementing and refining task structures, tools, and teacher instructional strategies. In Design Cycle 3, teachers and researchers will further refine lesson materials, assessments, and supports. The project will partner with one school district and engage in design research with groups of teachers to develop: (1) a research-based description, with exemplars of opportunities for student sense-making within empirical investigations at both early and upper elementary grades; (2) a set of design principles and tools that allow teachers to elicit and capitalize on sense-making about uncertainty in investigations; and (3) four elementary investigations elaborated to incorporate and exemplify the first two products above. These materials will be disseminated through a website, and established networks for supporting implementation of the NGSS. An advisory board will oversee project progress and conduct both formative and summative evaluation.

Measuring Early Mathematical Reasoning Skills: Developing Tests of Numeric Relational Reasoning and Spatial Reasoning

The primary aim of this study is to develop mathematics screening assessment tools for Grades K-2 over the course of four years that measure students' abilities in numeric relational reasoning and spatial reasoning. The team of researchers will develop Measures of Mathematical Reasoning Skills system, which will contain Tests of Numeric Relational Reasoning (T-NRR) and Tests of Spatial Reasoning (T-SR).

Award Number: 
1721100
Funding Period: 
Fri, 09/15/2017 to Tue, 08/31/2021
Full Description: 

Numeric relational reasoning and spatial reasoning are critical to success in later mathematics coursework, including Algebra 1, a gatekeeper to success at the post-secondary level, and success in additional STEM domains, such as chemistry, geology, biology, and engineering. Given the importance of these skills for later success, it is imperative that there are high-quality screening tools available to identify students at-risk for difficulty in these areas. The primary aim of this study is to develop mathematics screening assessment tools for Grades K-2 over the course of four years that measure students' abilities in numeric relational reasoning and spatial reasoning. The team of researchers will develop Measures of Mathematical Reasoning Skills system, which will contain Tests of Numeric Relational Reasoning (T-NRR) and Tests of Spatial Reasoning (T-SR). The measures will be intended for use by teachers and school systems to screen students to determine who is at-risk for difficulty in early mathematics, including students with disabilities. The measures will help provide important information about the intensity of support that may be needed for a given student. Three forms per grade level will be developed for both the T-NRR and T-SR with accompanying validity and reliability evidence collected. The Discovery Research K-12 program (DRK-12) seeks to significantly enhance the learning and teaching of science, technology, engineering and mathematics (STEM) by preK-12 students and teachers, through research and development of innovative resources, models and tools (RMTs). Projects in the DRK-12 program build on fundamental research in STEM education and prior research and development efforts that provide theoretical and empirical justification for proposed projects.

The development of the T-NRR and T-SR measures will follow an iterative process across five phases. The phases include (1) refining the construct; (2) developing test specifications and item models; (3) developing items; (4) field testing the items; and (5) conducting validity studies. The evidence collected and evaluated during each phase will contribute to the overall evaluation of the reliability of the measures and the validity of the interpretations made using the measures. Item models, test specifications, and item development will be continuously evaluated and refined based on data from cognitive interviews, field tests, and reviews by mathematics educators, teachers of struggling students, teachers of culturally and linguistically diverse populations, and a Technical Advisory Board. In the final phase of development of the T-NRR and T-SR, reliability of the results will be estimated and multiple sources of validity evidence will be collected to examine the concurrent and predictive relation with other criterion measures, classification accuracy, and sensitivity to growth. Approximately 4,500 students in Grades K-2 will be involved in all phases of the research including field tests and cognitive interviews. Data will be analyzed using a two-parameter IRT model to ensure item and test form comparability.


Project Videos

2020 STEM for All Video Showcase

Title: Measuring Early Mathematical Reasoning Skills

Presenter(s): Leanne Ketterlin Geller


A Partnership to Adapt, Implement and Study a Professional Learning Model and Build District Capacity to Improve Science Instruction and Student Understanding (Collaborative Research: Borko)

This project will work in partnership with the Santa Clara Unified School District (SCUSD) to adapt a previously designed Professional Learning (PL) model based on the District's objectives and constraints to build the capacity of teacher leaders and a program coordinator to implement the adapted PL program. The project is examining the sustainability and scalability of a PL model that supports the development of teachers' pedagogical content knowledge and instructional practices.

Lead Organization(s): 
Award Number: 
1720930
Funding Period: 
Sun, 10/01/2017 to Thu, 09/30/2021
Full Description: 

The Lawrence Hall of Science (the Hall) and Stanford University teams have previously developed and tested the efficacy of a program of Professional Learning (PL) which is focused on improving teachers' ability to support students' ability to engage in scientific argumentation. Key components of the PL model include a week-long summer institute and follow-up sessions during the academic year that incorporate additional pedagogical input, video reflection, and planning time. In this project, the Hall and Stanford are working in partnership with the Santa Clara Unified School District (SCUSD) to adapt the PL model based on the District's objectives and constraints, to build the capacity of teacher leaders and a program coordinator to implement the adapted PL program. This will enable the District to continue to adapt and implement the program independently at the conclusion of the project. Concurrently, the project is studying the adaptability of the PL model and the effectiveness of its implementation, and is developing guidelines and tools for other districts to use in adapting and implementing the PL model in their local contexts. Thus, this project is contributing knowledge about how to build capacity in districts to lead professional learning in science that addresses the new teaching and learning standards and is responsive to the needs of their local context.

The project is examining the sustainability and scalability of a PL model that supports the development of teachers' pedagogical content knowledge and instructional practices, with a particular focus on engaging students in argument from evidence. Results from the Hall and Stanford's previous research project indicate that the PL model is effective at significantly improving teachers' and students' classroom discourse practices. These findings suggest that a version of the model, adapted to the context and needs of a different school district, has the potential to improve the teaching of science to meet the demands of the current vision of science education. Using a Design-Based Implementation Research approach, this project is (i) working with SCUSD to adapt the PL model; (ii) preparing a district project coordinator and cadre of local teacher leaders (TLs) to implement and further adapt the model; and (iii) studying the adaptation and implementation of the model. The outcomes will be: a) a scalable PL model that can be continually adapted to the objectives and constraints of a district; b) a set of activities and resources for the district to prepare and support the science teacher leaders who will implement the adapted PL program internally with other teachers; and c) knowledge about the adaptations and resources needed for the PL model to be implemented independently by other school districts. The team also is researching the impact of the program on classroom practices and student learning.


Project Videos

2020 STEM for All Video Showcase

Title: Accomplishments and Struggles in a 3-Way RPP

Presenter(s): Emily Weiss, Hilda Borko, Coralie Delhaye, Jonathan Osborne, Emily Reigh, Tricia Ringel, Craig Strang, & Krista Woodward

2019 STEM for All Video Showcase

Title: Building District Leadership in Scientific Argumentation

Presenter(s): Coralie Delhaye, Emily Reigh, & Emily Weiss

2018 STEM for All Video Showcase


Project MAPLE: Makerspaces Promoting Learning and Engagement

The project plans to develop and study a series of metacognitive strategies that support learning and engagement for struggling middle school students during makerspace experiences. The study will focus narrowly on establishing a foundational understanding of how to ameliorate barriers to engaging in design learning through the use of metacognitive strategies.

Award Number: 
1721236
Funding Period: 
Fri, 09/01/2017 to Sat, 08/31/2019
Full Description: 

The project plans to develop and study a series of metacognitive strategies that support learning and engagement for struggling middle school students during makerspace experiences. The makerspace movement has gained recognition and momentum, which has resulted in many schools integrating makerspace technologies and related curricular practices into the classroom. The study will focus narrowly on establishing a foundational understanding of how to ameliorate barriers to engaging in design learning through the use of metacognitive strategies. The project plans to translate and apply research on the use of metacognitive strategies in supporting struggling learners to develop approaches that teachers can implement to increase opportunities for students who are the most difficult to reach academically. Project strategies, curricula, and other resources will be disseminated through existing outreach websites, research briefs, peer-reviewed publications for researchers and practitioners, and a webinar for those interested in middle-school makerspaces for diverse learners.

The research will address the paucity of studies to inform practitioners about what pedagogical supports help struggling learners engage in these makerspace experiences. The project will focus on two populations of struggling learners in middle schools, students with learning disabilities, and students at risk for academic failure. The rationale for focusing on metacognition within makerspace activities comes from the literature on students with learning disabilities and other struggling learners that suggests that they have difficulty with metacognitive thinking. Multiple instruments will be used to measure metacognitive processes found to be pertinent within the research process. The project will tentatively focus on persistence (attitudes about making), iteration (productive struggle) and intentionality (plan with incremental steps). The work will result in an evidence base around new instructional practices for middle school students who are struggling learners so that they can experience more success during maker learning experiences.

Engaging Students in Scientific Practices: Evaluating Evidence and Explanation in Secondary Earth and Space Science

This project will develop, implement, test, and revise instructional approaches and materials for high school students that focus on the links between scientific evidence and alternative explanations of phenomena relating to Earth and space education. Students will learn to construct diagrams showing the links between explanatory models of natural phenomena and lines of evidence, and then evaluate the plausibility of various alternative explanations for events.

Award Number: 
2027376
Funding Period: 
Fri, 09/01/2017 to Tue, 08/31/2021
Full Description: 

This project will develop, implement, test, and revise instructional approaches and materials for high school students that focus on the links between scientific evidence and alternative explanations of phenomena relating to Earth and space education. Students will examine alternative explanations for natural phenomena associated with extreme weather events, freshwater resource availability, and related topics in learning how to evaluate scientifically valid lines of evidence and explanation. Students will learn to construct diagrams showing the links between explanatory models of natural phenomena and lines of evidence, and then evaluate the plausibility of various alternative explanations for events. It is expected that engagement in these activities will help students gain proficiency in model-based reasoning, critical thinking, planning and analyzing scientifically valid investigations, constructing plausible explanations, engaging in collaborative argumentation, and critically evaluating scientific information.

This 4-year Design and Development project will examine use of Model-Evidence Link (MEL) diagrams that are intended to help students cognitively construct mental scaffolds that assist their engagement in the practices of critical evaluation, plausibility appraisal, and knowledge construction related to science topics that are considered by some as controversial. Prior research has demonstrated the potential educational outcomes of using MEL diagrams, but this project will extend the previous work by examining an approach where students construct their own MEL diagrams (build-a-MELs, or baMELs). The project will examine the use of both pre-constructed MELs and baMELs for effectiveness in promoting student engagement in scientific reasoning and practices. The project will employ design-based research methodologies in pursuing answers to three research questions: (1) Do baMEL activities tested in multiple high school classroom settings promote critical evaluation, plausibility reappraisal, and  scientifically accurate knowledge construction about controversial Earth and space science topics? (2) How do these additional baMELs differ from pre-constructed MELs in promoting critical evaluation, plausibility reappraisal, and knowledge construction? And (3) To what extent does repeated use of both pre-constructed MELs and baMELs result in student engagement of scientific practices (i.e., asking critical questions, using model-based reasoning, planning and analyzing scientifically valid investigations, constructing plausible explanations, engaging in collaborative argumentation, and critically evaluating scientific information)? The project will engage high school students taking Earth and space classes in selected schools of Georgia, New Jersey, and within Philadelphia. Teacher professional development opportunities associated with the project will include summer institutes, classroom supports, and mentoring sessions.

This project was previously funded under award #1721041.

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