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Resource | Modification Indices for Diagnostic Classification Models
Diagnostic classification models (DCMs) are psychometric models for evaluating a student’s mastery of the essential skills in a content domain based upon their responses to a set of test items. Currently, diagnostic model and/or Q-matrix misspecification is a known problem with limited avenues for remediation. To address this problem, this paper defines a one-sided score statistic that is a…
Diagnostic classification models (DCMs) are psychometric models for evaluating a student’s mastery of the essential skills in a content domain based upon their responses to a set of test items. Currently, diagnostic model and/or Q-matrix misspecification is a known problem with limited avenues for remediation. To address this problem, this paper defines a one-sided score statistic that is a…
Posted: Monday, May 22
Resource | Patterns of Using Multimodal External Representations in Digital Game-based Learning
Although prior research has highlighted the significance of representations for mathematical learning, there is still a lack of research on how students use multimodal external representations (MERs) to solve mathematical tasks in digital game-based learning (DGBL) environments. This exploratory study was to examine the salient patterns problem solvers demonstrated using MERs when they engaged in…
Although prior research has highlighted the significance of representations for mathematical learning, there is still a lack of research on how students use multimodal external representations (MERs) to solve mathematical tasks in digital game-based learning (DGBL) environments. This exploratory study was to examine the salient patterns problem solvers demonstrated using MERs when they engaged in…
Posted: Monday, May 22
Resource | Exploring Students’ Learning Support Use in Digital Game-based Math Learning: A Mixed-Methods Approach Using Machine Learning and Multi-cases Study
Digital game-based math learning environments (math DGBLE) are promising platforms that provide students with opportunities to master conceptual understanding and cultivate mathematical thinking, on which the contemporary mathematics education places an emphasis. Literature on learning support in digital game-based learning (DGBL) rarely investigate learners' support-use behaviors and interaction…
Digital game-based math learning environments (math DGBLE) are promising platforms that provide students with opportunities to master conceptual understanding and cultivate mathematical thinking, on which the contemporary mathematics education places an emphasis. Literature on learning support in digital game-based learning (DGBL) rarely investigate learners' support-use behaviors and interaction…
Posted: Monday, May 22
Resource | Effects of Game-based Learning Supports on Students’ Math Performance and Perceived Game Flow
Adopting a pretest–posttest experimental design with repeated measures, this study examined the effects of three types of game-based learning supports in the form of modeling on knowledge development that contributed to successful math problem solving and students’ perceived game flow. Forty-one sixth-grade students participated in the study and played a 3D architecture game that aims to promote…
Adopting a pretest–posttest experimental design with repeated measures, this study examined the effects of three types of game-based learning supports in the form of modeling on knowledge development that contributed to successful math problem solving and students’ perceived game flow. Forty-one sixth-grade students participated in the study and played a 3D architecture game that aims to promote…
Posted: Monday, May 22
Resource | Infect, Attach or Bounce off?: Linking Real Data and Computational Models to Make Sense of the Mechanisms of Diffusion
This study explores how the interplay between data and model design shifts 6th graders’ students' ideas about diffusion as they build a range of models (“paper and pencil” and computational models). We present a new web-based environment and approach that integrates model-based and data-based features in the same display which facilitates the comparison of models and real-world data. Further, we…
This study explores how the interplay between data and model design shifts 6th graders’ students' ideas about diffusion as they build a range of models (“paper and pencil” and computational models). We present a new web-based environment and approach that integrates model-based and data-based features in the same display which facilitates the comparison of models and real-world data. Further, we…
Posted: Monday, May 22
Resource | MoDa: Designing a Tool to Interweave Computational Modeling with Real-world Data Analysis for Science Learning in Middle School
Coordinating modeling and real-world data is central to building scientific theories. This paper examines how a complementary focus on modeling and data contributed to 8th grade students’ learning of mechanisms underlying wildfire smoke spread in MoDa, a web-based environment that integrates computational modeling side-by-side with real-world data for comparison and validation. Epistemic network…
Coordinating modeling and real-world data is central to building scientific theories. This paper examines how a complementary focus on modeling and data contributed to 8th grade students’ learning of mechanisms underlying wildfire smoke spread in MoDa, a web-based environment that integrates computational modeling side-by-side with real-world data for comparison and validation. Epistemic network…
Posted: Monday, May 22
Resource | Exploring the Potential of an Online Suite of Practice-Based Activities for Supporting Preservice Elementary Teachers in Learning How to Facilitate Argumentation-Focused Discussions in Mathematics and Science
This study explored the use of a three-part suite of practice-based activities -- one- and two-player online simulations, an avatar-based simulation, and a virtual teaching simulator—for supporting preservice teachers in learning how to facilitate argumentation-focused discussions in elementary mathematics and science. We share findings from analysis of survey data examining four elementary…
This study explored the use of a three-part suite of practice-based activities -- one- and two-player online simulations, an avatar-based simulation, and a virtual teaching simulator—for supporting preservice teachers in learning how to facilitate argumentation-focused discussions in elementary mathematics and science. We share findings from analysis of survey data examining four elementary…
Posted: Monday, May 22
Resource | Eliciting Learner Knowledge: Enabling Focused Practice Through an Open-Source Online Tool
Eliciting and interpreting students’ ideas are essential skills in teaching, yet pre-service teachers (PSTs) rarely have adequate opportunities to develop these skills. In this study, we examine PSTs’ patterns of discourse and perceived learning through engaging in an interactive digital simulation called Eliciting Learner Knowledge (ELK). ELK is a seven-minute, chat-based virtual role play…
Eliciting and interpreting students’ ideas are essential skills in teaching, yet pre-service teachers (PSTs) rarely have adequate opportunities to develop these skills. In this study, we examine PSTs’ patterns of discourse and perceived learning through engaging in an interactive digital simulation called Eliciting Learner Knowledge (ELK). ELK is a seven-minute, chat-based virtual role play…
Posted: Monday, May 22
Resource | “Unnatural How Natural It Was”: Using a Performance Task and Simulated Classroom for Preservice Secondary Teachers to Practice Engaging Student Avatars in Scientific Argumentation
Facilitating discussions is a key approach that science teachers use to engage students in scientific argumentation. However, learning how to facilitate argumentation-focused discussions is an ambitious teaching practice that can be difficult to learn how to do well, especially for preservice teachers (PSTs) who typically have limited opportunities to tryout and refine this teaching practice.…
Facilitating discussions is a key approach that science teachers use to engage students in scientific argumentation. However, learning how to facilitate argumentation-focused discussions is an ambitious teaching practice that can be difficult to learn how to do well, especially for preservice teachers (PSTs) who typically have limited opportunities to tryout and refine this teaching practice.…
Posted: Monday, May 22
Resource | Examining Elementary Science Teachers' Responses to Assessments Tasks Designed to Measure Their Content Knowledge for Teaching About Matter and its Interactions
Despite the importance of developing elementary science teachers' content knowledge for teaching (CKT), there are limited assessments that have been designed to measure the full breadth of their CKT at scale. Our overall research project addressed this gap by developing an online assessment to measure elementary preservice teachers' CKT about matter and its interactions. This study, which was…
Despite the importance of developing elementary science teachers' content knowledge for teaching (CKT), there are limited assessments that have been designed to measure the full breadth of their CKT at scale. Our overall research project addressed this gap by developing an online assessment to measure elementary preservice teachers' CKT about matter and its interactions. This study, which was…
Posted: Monday, May 22
Resource | Undergraduate Engineering and Education Students Reflect on Their Interdisciplinary Teamwork Experiences Following Transition to Virtual Instruction Caused by COVID-19
This study explores undergraduate engineering and education students’ perspectives on their interdisciplinary teams throughout the rapid transition to online learning and instruction from a face-to-face to a virtual format. In this qualitative study, students’ reflections and focus groups from three interdisciplinary collaborations were analyzed using the lens of Social Cognitive Theory. COVID-19…
This study explores undergraduate engineering and education students’ perspectives on their interdisciplinary teams throughout the rapid transition to online learning and instruction from a face-to-face to a virtual format. In this qualitative study, students’ reflections and focus groups from three interdisciplinary collaborations were analyzed using the lens of Social Cognitive Theory. COVID-19…
Posted: Monday, May 22
Resource | COVID-19 as a Magnifying Glass: Exploring the Importance of Relationships as Education Students Learn and Teach Robotics via Zoom
Ed+gineering, an NSF-funded program, adapted hands-on robotics instruction for online delivery in response to the COVID-19 pandemic. This qualitative multiple case study shares the experiences of participating education students in spring 2021 as they collaborated virtually with engineering students and fifth graders to engineer bioinspired robots in an afterschool technology club adapted to be…
Ed+gineering, an NSF-funded program, adapted hands-on robotics instruction for online delivery in response to the COVID-19 pandemic. This qualitative multiple case study shares the experiences of participating education students in spring 2021 as they collaborated virtually with engineering students and fifth graders to engineer bioinspired robots in an afterschool technology club adapted to be…
Posted: Monday, May 22
Resource | Science Teaching and Learning in Linguistically Super-Diverse Multicultural Classrooms
American schools are becoming more linguistically diverse as immigrants and resettled refugees who speak various languages and dialects arrive at the United States from around the world. This demographic change shifts US classrooms toward super-diversity as the new norm or mainstream in all grade levels (Enright 2011; Park, Zong and Batalova 2018; Vertovec 2007). In super-diverse classroom…
American schools are becoming more linguistically diverse as immigrants and resettled refugees who speak various languages and dialects arrive at the United States from around the world. This demographic change shifts US classrooms toward super-diversity as the new norm or mainstream in all grade levels (Enright 2011; Park, Zong and Batalova 2018; Vertovec 2007). In super-diverse classroom…
Posted: Monday, May 22
Resource | Leading for Justice, Leading for Learning: Conceptualizing Urban School Leadership for Antiracist Mathematics Teaching and Learning
Urban school leaders can support mathematics instruction that acknowledges and sustains students’ racialized and cultured ways of knowing and being. Yet, leadership for racial justice is often discussed separately from instructional improvement. In this conceptual inquiry, we investigate how leadership can integrate antiracist practices into teaching and learning. We synthesize justice-focused…
Urban school leaders can support mathematics instruction that acknowledges and sustains students’ racialized and cultured ways of knowing and being. Yet, leadership for racial justice is often discussed separately from instructional improvement. In this conceptual inquiry, we investigate how leadership can integrate antiracist practices into teaching and learning. We synthesize justice-focused…
Posted: Monday, May 22
Resource | Preparing for a Data-Rich World: Civic Statistics Across the Curriculum
Civic Statistics by its nature is highly interdisciplinary. From a cross-curricular perspective, teaching and learning Civic Statistics faces specific challenges related to the preparation of teachers and the design of instruction. This chapter presents examples of how Civic Statistics resources and concepts can be used in different courses and subject areas. Because topical issues and current…
Civic Statistics by its nature is highly interdisciplinary. From a cross-curricular perspective, teaching and learning Civic Statistics faces specific challenges related to the preparation of teachers and the design of instruction. This chapter presents examples of how Civic Statistics resources and concepts can be used in different courses and subject areas. Because topical issues and current…
Posted: Monday, May 22
Resource | Advancing Social Justice Learning Through Data Literacy
Students need “critical data literacy” skills to help make sense of the multitude of information available to them, especially as it relates to high-stakes issues of social justice. The authors describe two curriculum modules they developed—one on income equality, one on immigration—that help students learn to analyze data in order to shed light on complex social issues and evaluate claims…
Students need “critical data literacy” skills to help make sense of the multitude of information available to them, especially as it relates to high-stakes issues of social justice. The authors describe two curriculum modules they developed—one on income equality, one on immigration—that help students learn to analyze data in order to shed light on complex social issues and evaluate claims…
Posted: Monday, May 22
Resource | MindHive: An Online Citizen Science Tool and Curriculum for Human Brain and Behavior Research
MindHive is an online, open science, citizen science platform co-designed by a team of educational researchers, teachers, cognitive and social scientists, UX researchers, community organizers, and software developers to support real-world brain and behavior research for (a) high school students and teachers who seek authentic STEM research experiences, (b) neuroscientists and cognitive/social…
MindHive is an online, open science, citizen science platform co-designed by a team of educational researchers, teachers, cognitive and social scientists, UX researchers, community organizers, and software developers to support real-world brain and behavior research for (a) high school students and teachers who seek authentic STEM research experiences, (b) neuroscientists and cognitive/social…
Posted: Monday, May 22
Resource | Flip It: An Exploratory (Versus Explanatory) Sequential Mixed Methods Design Using Delphi and Differential Item Functioning to Evaluate Item Bias
The Delphi method has been adapted to inform item refinements in educational and psychological assessment development. An explanatory sequential mixed methods design using Delphi is a common approach to gain experts' insight into why items might have exhibited differential item functioning (DIF) for a sub-group, indicating potential item bias. Use of Delphi before quantitative field testing to…
The Delphi method has been adapted to inform item refinements in educational and psychological assessment development. An explanatory sequential mixed methods design using Delphi is a common approach to gain experts' insight into why items might have exhibited differential item functioning (DIF) for a sub-group, indicating potential item bias. Use of Delphi before quantitative field testing to…
Posted: Monday, May 22
Resource | Flip It: An Exploratory (Versus Explanatory) Sequential Mixed Methods Design Using Delphi and Differential Item Functioning to Evaluate Item Bias
The Delphi method has been adapted to inform item refinements in educational and psychological assessment development. An explanatory sequential mixed methods design using Delphi is a common approach to gain experts' insight into why items might have exhibited differential item functioning (DIF) for a sub-group, indicating potential item bias. Use of Delphi before quantitative field testing to…
The Delphi method has been adapted to inform item refinements in educational and psychological assessment development. An explanatory sequential mixed methods design using Delphi is a common approach to gain experts' insight into why items might have exhibited differential item functioning (DIF) for a sub-group, indicating potential item bias. Use of Delphi before quantitative field testing to…
Posted: Monday, May 22
Survey | Opportunities for Research Within the Data Science Education Community
Monday, June 26, 3:00–5:00pm ET Hosts: Katherine Miller, The Concord Consortium; Seth Jones, Middle Tennessee State University; Kirsten Daehler, WestEd; David Weintrop, University of Maryland; and Chad Dorsey, The Concord Consortium The goal of this workshop session is to invite early career researchers interested in data science education (DSE) into the DSE community. The session includes…
Monday, June 26, 3:00–5:00pm ET Hosts: Katherine Miller, The Concord Consortium; Seth Jones, Middle Tennessee State University; Kirsten Daehler, WestEd; David Weintrop, University of Maryland; and Chad Dorsey, The Concord Consortium The goal of this workshop session is to invite early career researchers interested in data science education (DSE) into the DSE community. The session includes…
Posted: Monday, May 22
Resource | Examining the Influence of COVID-19 on Elementary Mathematics Standardized Test Scores in a Rural Ohio School District
In the United States, national and state standardized assessments have become a metric for measuring student learning and high-quality learning environments. As the COVID-19 pandemic offered a multitude of learning modalities (e.g., hybrid, socially distanced face-to-face instruction, virtual environment), it becomes critical to examine how this learning disruption influenced elementary…
In the United States, national and state standardized assessments have become a metric for measuring student learning and high-quality learning environments. As the COVID-19 pandemic offered a multitude of learning modalities (e.g., hybrid, socially distanced face-to-face instruction, virtual environment), it becomes critical to examine how this learning disruption influenced elementary…
Posted: Monday, May 22
Resource | Examining the Influence of COVID-19 on Elementary Mathematics Standardized Test Scores in a Rural Ohio School District
In the United States, national and state standardized assessments have become a metric for measuring student learning and high-quality learning environments. As the COVID-19 pandemic offered a multitude of learning modalities (e.g., hybrid, socially distanced face-to-face instruction, virtual environment), it becomes critical to examine how this learning disruption influenced elementary…
In the United States, national and state standardized assessments have become a metric for measuring student learning and high-quality learning environments. As the COVID-19 pandemic offered a multitude of learning modalities (e.g., hybrid, socially distanced face-to-face instruction, virtual environment), it becomes critical to examine how this learning disruption influenced elementary…
Posted: Monday, May 22
Resource | AI for Tackling STEM Education Challenges
Artificial intelligence (AI), an emerging technology, finds increasing use in STEM education and STEM education research (e.g., Zhai et al., 2020b; Ouyang et al., 2022; Linn et al., 2023). AI, defined as a technology to mimic human cognitive behaviors, holds great potential to address some of the most challenging problems in STEM education (Neumann and Waight, 2020; Zhai, 2021). Amongst these is…
Artificial intelligence (AI), an emerging technology, finds increasing use in STEM education and STEM education research (e.g., Zhai et al., 2020b; Ouyang et al., 2022; Linn et al., 2023). AI, defined as a technology to mimic human cognitive behaviors, holds great potential to address some of the most challenging problems in STEM education (Neumann and Waight, 2020; Zhai, 2021). Amongst these is…
Posted: Friday, May 19
Resource | AI for Tackling STEM Education Challenges
Artificial intelligence (AI), an emerging technology, finds increasing use in STEM education and STEM education research (e.g., Zhai et al., 2020b; Ouyang et al., 2022; Linn et al., 2023). AI, defined as a technology to mimic human cognitive behaviors, holds great potential to address some of the most challenging problems in STEM education (Neumann and Waight, 2020; Zhai, 2021). Amongst these is…
Artificial intelligence (AI), an emerging technology, finds increasing use in STEM education and STEM education research (e.g., Zhai et al., 2020b; Ouyang et al., 2022; Linn et al., 2023). AI, defined as a technology to mimic human cognitive behaviors, holds great potential to address some of the most challenging problems in STEM education (Neumann and Waight, 2020; Zhai, 2021). Amongst these is…
Posted: Friday, May 19
Resource | AI for Tackling STEM Education Challenges
Artificial intelligence (AI), an emerging technology, finds increasing use in STEM education and STEM education research (e.g., Zhai et al., 2020b; Ouyang et al., 2022; Linn et al., 2023). AI, defined as a technology to mimic human cognitive behaviors, holds great potential to address some of the most challenging problems in STEM education (Neumann and Waight, 2020; Zhai, 2021). Amongst these is…
Artificial intelligence (AI), an emerging technology, finds increasing use in STEM education and STEM education research (e.g., Zhai et al., 2020b; Ouyang et al., 2022; Linn et al., 2023). AI, defined as a technology to mimic human cognitive behaviors, holds great potential to address some of the most challenging problems in STEM education (Neumann and Waight, 2020; Zhai, 2021). Amongst these is…
Posted: Friday, May 19
Resource | Applying Machine Learning to Automatically Assess Scientific Models
Involving students in scientific modeling practice is one of the most effective approaches to achieving the next generation science education learning goals. Given the complexity and multirepresentational features of scientific models, scoring student-developed models is time- and cost-intensive, remaining one of the most challenging assessment practices for science education. More importantly,…
Involving students in scientific modeling practice is one of the most effective approaches to achieving the next generation science education learning goals. Given the complexity and multirepresentational features of scientific models, scoring student-developed models is time- and cost-intensive, remaining one of the most challenging assessment practices for science education. More importantly,…
Posted: Friday, May 19
Resource | Applying Machine Learning to Automatically Assess Scientific Models
Involving students in scientific modeling practice is one of the most effective approaches to achieving the next generation science education learning goals. Given the complexity and multirepresentational features of scientific models, scoring student-developed models is time- and cost-intensive, remaining one of the most challenging assessment practices for science education. More importantly,…
Involving students in scientific modeling practice is one of the most effective approaches to achieving the next generation science education learning goals. Given the complexity and multirepresentational features of scientific models, scoring student-developed models is time- and cost-intensive, remaining one of the most challenging assessment practices for science education. More importantly,…
Posted: Friday, May 19
Resource | Applying Machine Learning to Automatically Assess Scientific Models
Involving students in scientific modeling practice is one of the most effective approaches to achieving the next generation science education learning goals. Given the complexity and multirepresentational features of scientific models, scoring student-developed models is time- and cost-intensive, remaining one of the most challenging assessment practices for science education. More importantly,…
Involving students in scientific modeling practice is one of the most effective approaches to achieving the next generation science education learning goals. Given the complexity and multirepresentational features of scientific models, scoring student-developed models is time- and cost-intensive, remaining one of the most challenging assessment practices for science education. More importantly,…
Posted: Friday, May 19
Resource | A Mixed-Methods Exploration of Mastery Goal Support in 7th-Grade Science Classrooms
Mastery goal structures, which communicate value for developing deeper understanding, are an important classroom support for student motivation and engagement, especially in the context of science learning aligned with the Next Generation Science Standards. Prior research has identified key dimensions of goal structures, but a more nuanced examination of the variability of teacher-enacted and…
Mastery goal structures, which communicate value for developing deeper understanding, are an important classroom support for student motivation and engagement, especially in the context of science learning aligned with the Next Generation Science Standards. Prior research has identified key dimensions of goal structures, but a more nuanced examination of the variability of teacher-enacted and…
Posted: Friday, May 19
Resource | A Mixed-Methods Exploration of Mastery Goal Support in 7th-Grade Science Classrooms
Mastery goal structures, which communicate value for developing deeper understanding, are an important classroom support for student motivation and engagement, especially in the context of science learning aligned with the Next Generation Science Standards. Prior research has identified key dimensions of goal structures, but a more nuanced examination of the variability of teacher-enacted and…
Mastery goal structures, which communicate value for developing deeper understanding, are an important classroom support for student motivation and engagement, especially in the context of science learning aligned with the Next Generation Science Standards. Prior research has identified key dimensions of goal structures, but a more nuanced examination of the variability of teacher-enacted and…
Posted: Friday, May 19