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Educational games are an increasingly popular teaching tool in modern classrooms. However, the development of complementary tools for teachers facilitating classroom gameplay is lacking. We present the results of a…
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AI in education has many potential uses as well as limits, challenges, and dangers. In this brief, the authors explore how to promote equitable and just educational futures with AI.
AI in education has…
Shining Light on Preschool Science Investigations: Exploring Shadows and Strengthening Visual Spatial Skills
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Young children are naturally interested in light and shadows, thus providing a meaningful context to introduce preschool science investigations. As children explore how shadows are made and change, they also have…
Using Simulations to Support Students’ Conceptual Development Related to Wildfire Hazards and Risks from an Experiential Learning Perspective
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From the experiential learning perspective, this study investigates middle and high school students (n = 1009) who used an online module to learn about wildfire hazards, risks, and impacts through computational simulations…
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The Spiral Notebook app is a digital portfolio tool that enables teachers to efficiently capture multiple representations of classroom practice via documents, images, and videos, and organize, share, and discuss evidence…
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In this free life sciences learning game, middle school students can play as a young scientist faced with scientific challenges across multiple oceanic ecosystems. Wake: Tales from the Aqualab addresses the NGSS practices…
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StoryMaker is a powerful learning platform developed by PBS NewsHour Student Reporting Labs to build the next generation of media creators through media-making projects. These lesson plans and activities provide a strong…
Using Artificial Intelligence Teaching Assistants to Guide Students in Solar Energy Engineering Design
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Engineering projects, such as designing a solar farm that converts solar radiation shined on the Earth into electricity, engage students in addressing real-world challenges by learning and applying geoscience knowledge. To…
Impact of an Adaptive Dialog that Uses Natural Language Processing to Detect Students’ Ideas and Guide Knowledge Integration
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This study leverages natural language processing (NLP) to deepen our understanding of how students integrate their ideas about genetic inheritance while engaging in an adaptive dialog. …
How Does an Adaptive Dialog Based on Natural Language Processing Impact Students from Distinct Language Backgrounds?
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This study takes advantage of advances in Natural Language Processing (NLP) to build an idea detection model that can identify ideas grounded in students’ linguistic experiences.
This study takes…
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We present a detailed empirical investigation of feature-based, recurrent neural network, and pre-trained transformer models on scoring content in real-world formative assessment data. We demonstrate that recent neural…
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We use natural language processing (NLP) to identify student ideas in science explanations. The identified ideas, along with Knowledge Integration (KI) pedagogy, informed the design of a question bank to support students…
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Students benefit from dialogs about their explanations of complex scientific phenomena, and middle school science teachers cannot realistically provide all the guidance they need. We study ways to extend generative teacher…
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This paper describes how plate tectonics and rock genesis, two topics that are typically addressed separately in secondary Earth science classes, can be taught together as an integrated system.
This…
Best of Both Worlds: Developing an Innovative, Integrated, Intelligent, and Interactive System of Technologies Supporting In-Person and Digital Experiences for Early Mathematics
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Mathematics is a core component of cognition. Unfortunately, most young children and teachers cannot access research-based early childhood mathematics resources. Building on a quarter-century of research, we are developing…
Combining Natural Language Processing with Epistemic Network Analysis to Investigate Student Knowledge Integration within an AI Dialog
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In this study, we used Epistemic Network Analysis (ENA) to represent data generated by Natural Language Processing (NLP) analytics during an activity based on the Knowledge Integration (KI) framework. The activity features…
Employing Automatic Analysis Tools Aligned to Learning Progressions to Assess Knowledge Application and Support Learning in STEM
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We discuss transforming STEM education using three aspects: learning progressions (LPs), constructed response performance assessments, and artificial intelligence (AI). Using LPs to inform instruction, curriculum, and…
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The changing landscape of geoscience learning has initiated growing interest in engaging science learners with climate data. One approach to teaching climate is the application of broadly accessible digital science…
Developing Elementary Teachers’ Climate Change Knowledge and Self-efficacy for Teaching Climate Change Using Learning Technologies
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Elementary teachers require support through professional learning activities to enhance their climate change literacy and bolster their self-efficacy for teaching climate change. This study explores methods for supporting…
Exploring Teachers’ Eye-Tracking Data and Professional Noticing When Viewing a 360 Video of Elementary Mathematics
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Research incorporating either eye-tracking technology or immersive technology (virtual reality and 360 video) into studying teachers’ professional noticing is recent. Yet, such technologies allow a better understanding of…
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This study employs the Experiential Learning Theory framework to investigate students’ use of a wildfire simulation. We analyzed log files automatically generated by middle and high school students (n = 1515) as they used…
What Distinguishes Students’ Engineering Design Performance: Design Behaviors, Design Iterations, and Application of Science Concepts
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Engineering design that requires mathematical analysis, scientific understanding, and technology is critical for preparing students for solving engineering problems. In simulated design environments, students are expected…
NLP-Enabled Automated Assessment of Scientific Explanations: Towards Eliminating Linguistic Discrimination
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As use of artificial intelligence (AI) has increased, concerns about AI bias and discrimination have been growing. This paper discusses an application called PyrEval in which natural language processing (NLP) was used to…
Seeing Our World Through Data: Sixth Graders Integrating Data Investigations in Collaborative Knowledge Building
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Prior research has explored innovative ways to introduce data science to young learners, emphasizing not only the development of data skills but also the connection of data science to students’ authentic inquiries and…
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Students benefit from having opportunities to explore extensive, complex datasets using technology tools that are intuitive and accessible. Likewise, middle school teachers require convenient access to captivating datasets…