Technology

Technology-based Innovative Assessment

This section presents an overview of critical developments in technology-driven, classroom-based innovative assessment practices. It uses a framework organized around cognitive constructs, assessment functionality, and automaticity to review the technological developments of innovative assessments and identify how they have been advanced to meet researcher and practitioner needs.

Author/Presenter

Xiaoming Zhai

Eric Wiebe

Year
2023
Short Description

This section presents an overview of critical developments in technology-driven, classroom-based innovative assessment practices. It uses a framework organized around cognitive constructs, assessment functionality, and automaticity to review the technological developments of innovative assessments and identify how they have been advanced to meet researcher and practitioner needs.

Technology-based Innovative Assessment

This section presents an overview of critical developments in technology-driven, classroom-based innovative assessment practices. It uses a framework organized around cognitive constructs, assessment functionality, and automaticity to review the technological developments of innovative assessments and identify how they have been advanced to meet researcher and practitioner needs.

Author/Presenter

Xiaoming Zhai

Eric Wiebe

Year
2023
Short Description

This section presents an overview of critical developments in technology-driven, classroom-based innovative assessment practices. It uses a framework organized around cognitive constructs, assessment functionality, and automaticity to review the technological developments of innovative assessments and identify how they have been advanced to meet researcher and practitioner needs.

Technology-based Innovative Assessment

This section presents an overview of critical developments in technology-driven, classroom-based innovative assessment practices. It uses a framework organized around cognitive constructs, assessment functionality, and automaticity to review the technological developments of innovative assessments and identify how they have been advanced to meet researcher and practitioner needs.

Author/Presenter

Xiaoming Zhai

Eric Wiebe

Year
2023
Short Description

This section presents an overview of critical developments in technology-driven, classroom-based innovative assessment practices. It uses a framework organized around cognitive constructs, assessment functionality, and automaticity to review the technological developments of innovative assessments and identify how they have been advanced to meet researcher and practitioner needs.

Technology-based Innovative Assessment

This section presents an overview of critical developments in technology-driven, classroom-based innovative assessment practices. It uses a framework organized around cognitive constructs, assessment functionality, and automaticity to review the technological developments of innovative assessments and identify how they have been advanced to meet researcher and practitioner needs.

Author/Presenter

Xiaoming Zhai

Eric Wiebe

Year
2023
Short Description

This section presents an overview of critical developments in technology-driven, classroom-based innovative assessment practices. It uses a framework organized around cognitive constructs, assessment functionality, and automaticity to review the technological developments of innovative assessments and identify how they have been advanced to meet researcher and practitioner needs.

Justice-Centered STEM Education with Multilingual Learners: Conceptual Framework and Initial Inquiry into Pre-service Teachers’ Sense-Making

When pressing societal challenges (e.g., COVID-19, access to clean water) are sidelined in science classrooms, science education fails to leverage the knowledge and experiences of minoritized students in school, thus reproducing injustices in society. Our conceptual framework for justice-centered STEM education engages all students in multiple STEM subjects, including data science and computer science, to explain and design solutions to pressing societal challenges and their disproportionate impact on minoritized groups.

Author/Presenter

Scott E. Grapin

Alison Haas

N’Dyah McCoy

Okhee Lee

Year
2023
Short Description

Our conceptual framework for justice-centered STEM education engages all students in multiple STEM subjects, including data science and computer science, to explain and design solutions to pressing societal challenges and their disproportionate impact on minoritized groups. In the first part of this article, we extend our conceptual framework by articulating the affordances of justice-centered STEM education for one minoritized student group that has been traditionally denied meaningful STEM learning experiences: multilingual learners (MLs). In the second part of the article, we report on an initial inquiry into how 14 undergraduate pre-service teachers made sense of our conceptual framework after participating in lessons from our COVID-19 instructional unit.

Scaling STEM-ID—Research Strategies to Inform Initial Scaling of Middle School Engineering Curricula

This work-in-progress paper discusses ****, a three-year middle school Engineering and Technology course sequence that integrates foundational mathematics and science in an engineering context through challenges that introduce students to advanced manufacturing tools such as computer aided design (CAD) and 3D printing and incorporate engineering concepts such as pneumatics, aeronautics, and robotics. The paper will describe research strategies informing the initial scaling of the **** curricula following its iterative development over several years in a previous large-scale project.

Author/Presenter

Dyanne Baptiste Porter

Jessica D Gale

Meltem Alemdar

Sunni Haag Newton

Abeera P. Rehmat

Talia Capozzoli

Jeffrey H Rosen

Jasmine Choi

Roxanne Moore

Year
2023
Short Description

This work-in-progress paper discusses a three-year middle school Engineering and Technology course sequence that integrates foundational mathematics and science in an engineering context through challenges that introduce students to advanced manufacturing tools such as computer aided design (CAD) and 3D printing and incorporate engineering concepts such as pneumatics, aeronautics, and robotics.

Connecting Classroom Assessment with Learning Goals and Instruction Through Theories of Learning

In this report section, we discuss the importance of aligning classroom assessments with learning goals and instructional practices to both shape and evaluate students’ learning opportunities. We describe a plausible solution for improving alignment by integrating theories of learning in the design of classroom assessments. We discuss ways in which the specification of theories of learning as learning progressions can improve alignment between classroom assessments and instruction by focusing on the content, task design, and data generated from classroom assessments.

Author/Presenter

Leanne R. Ketterlin-Geller

Christopher J. Harris

Year
2023
Short Description

In this report section, we discuss the importance of aligning classroom assessments with learning goals and instructional practices to both shape and evaluate students’ learning opportunities.

Can Generative AI and ChatGPT Outperform Humans on Cognitive-Demanding Problem-Solving Tasks in Science?

This study aimed to examine an assumption regarding whether generative artificial intelligence (GAI) tools can overcome the cognitive intensity that humans suffer when solving problems. We examine the performance of ChatGPT and GPT-4 on NAEP science assessments and compare their performance to students by cognitive demands of the items. Fifty-four 2019 NAEP science assessment tasks were coded by content experts using a two-dimensional cognitive load framework, including task cognitive complexity and dimensionality.

Author/Presenter

Xiaoming Zhai

Matthew Nyaaba

Wenchao Ma

Lead Organization(s)
Year
2024
Short Description

This study aimed to examine an assumption regarding whether generative artificial intelligence (GAI) tools can overcome the cognitive intensity that humans suffer when solving problems. We examine the performance of ChatGPT and GPT-4 on NAEP science assessments and compare their performance to students by cognitive demands of the items.

Can Generative AI and ChatGPT Outperform Humans on Cognitive-Demanding Problem-Solving Tasks in Science?

This study aimed to examine an assumption regarding whether generative artificial intelligence (GAI) tools can overcome the cognitive intensity that humans suffer when solving problems. We examine the performance of ChatGPT and GPT-4 on NAEP science assessments and compare their performance to students by cognitive demands of the items. Fifty-four 2019 NAEP science assessment tasks were coded by content experts using a two-dimensional cognitive load framework, including task cognitive complexity and dimensionality.

Author/Presenter

Xiaoming Zhai

Matthew Nyaaba

Wenchao Ma

Lead Organization(s)
Year
2024
Short Description

This study aimed to examine an assumption regarding whether generative artificial intelligence (GAI) tools can overcome the cognitive intensity that humans suffer when solving problems. We examine the performance of ChatGPT and GPT-4 on NAEP science assessments and compare their performance to students by cognitive demands of the items.