Undergraduate

Exploring the Viral Spread of Disease and Disinformation

The worldwide COVID-19 pandemic has highlighted the importance of mathematical models in predicting the spread of the coronavirus (Srinivas 2020; Stevens & Muyskens 2020) and assessing the effectiveness of various safety measures in reducing that spread (Li et al 2020). These models can be extremely sophisticated, drawing on the expertise of applied mathematicians, epidemiologists, public health experts, and others, but at its core, there is a notion of exponential growth that is relevant for the secondary mathematics curriculum.

Author/Presenter

Samuel Otten

Julia Bemke

Jerred Webb

Lead Organization(s)
Year
2022
Short Description

The tasks described in this chapter are intended to build connections between these real-world dangers of viral spread and some relevant topics from the secondary mathematics curriculum. We also explore a link between mathematical reasoning and media literacy—the ability to discern the commercial, ideological, or political motivations of media and the recognition that receivers negotiate the meaning of messages (Aufderheide, 1993)—so that, just as we know to take safety precautions with regard to an airborne coronavirus, we can also help our students learn to take precautions against the spread of misinformation on social media.

Classroom Orchestration of Computer Simulations for Science and Engineering Learning: A Multiple-Case Study Approach

This multiple case study focused on the implementation of a computer-aided design (CAD) simulation to help students engage in engineering design to learn science concepts. Our findings describe three case studies that adopted the same learning design and adapted it to three different populations, settings, and classroom contexts: at the middle-school, high-school, and pre-service teaching levels.

Author/Presenter

Jennifer Chiu

Ying Ying Seah

James P. Bywater

Corey Schimpf

Tugba Karabiyik

Sanjay Rebello

Charles Xie

Short Description

This multiple case study focused on the implementation of a computer-aided design (CAD) simulation to help students engage in engineering design to learn science concepts. Our findings describe three case studies that adopted the same learning design and adapted it to three different populations, settings, and classroom contexts: at the middle-school, high-school, and pre-service teaching levels.

Classroom Orchestration of Computer Simulations for Science and Engineering Learning: A Multiple-Case Study Approach

This multiple case study focused on the implementation of a computer-aided design (CAD) simulation to help students engage in engineering design to learn science concepts. Our findings describe three case studies that adopted the same learning design and adapted it to three different populations, settings, and classroom contexts: at the middle-school, high-school, and pre-service teaching levels.

Author/Presenter

Jennifer Chiu

Ying Ying Seah

James P. Bywater

Corey Schimpf

Tugba Karabiyik

Sanjay Rebello

Charles Xie

Short Description

This multiple case study focused on the implementation of a computer-aided design (CAD) simulation to help students engage in engineering design to learn science concepts. Our findings describe three case studies that adopted the same learning design and adapted it to three different populations, settings, and classroom contexts: at the middle-school, high-school, and pre-service teaching levels.

Classroom Orchestration of Computer Simulations for Science and Engineering Learning: A Multiple-Case Study Approach

This multiple case study focused on the implementation of a computer-aided design (CAD) simulation to help students engage in engineering design to learn science concepts. Our findings describe three case studies that adopted the same learning design and adapted it to three different populations, settings, and classroom contexts: at the middle-school, high-school, and pre-service teaching levels.

Author/Presenter

Jennifer Chiu

Ying Ying Seah

James P. Bywater

Corey Schimpf

Tugba Karabiyik

Sanjay Rebello

Charles Xie

Short Description

This multiple case study focused on the implementation of a computer-aided design (CAD) simulation to help students engage in engineering design to learn science concepts. Our findings describe three case studies that adopted the same learning design and adapted it to three different populations, settings, and classroom contexts: at the middle-school, high-school, and pre-service teaching levels.

Using Machine Learning to Predict Engineering Technology Students’ Success with Computer-Aided Design

Computer-aided design (CAD) programs are essential to engineering as they allow for better designs through low-cost iterations. While CAD programs are typically taught to undergraduate students as a job skill, such software can also help students learn engineering concepts. A current limitation of CAD programs (even those that are specifically designed for educational purposes) is that they are not capable of providing automated real-time help to students.

Author/Presenter

Jasmine Singh

Viranga Perera

Alejandra J. Magana

Brittany Newell

Jin Wei-Kocsis

Ying Ying Seah

Greg J. Strimel

Charles Xie

Year
2022
Short Description

Computer-aided design (CAD) programs are essential to engineering as they allow for better designs through low-cost iterations. While CAD programs are typically taught to undergraduate students as a job skill, such software can also help students learn engineering concepts. A current limitation of CAD programs (even those that are specifically designed for educational purposes) is that they are not capable of providing automated real-time help to students. To encourage CAD programs to build in assistance to students, we used data generated from students using a free, open-source CAD software called Aladdin to demonstrate how student data combined with machine learning techniques can predict how well a particular student will perform in a design task.

Using Machine Learning to Predict Engineering Technology Students’ Success with Computer-Aided Design

Computer-aided design (CAD) programs are essential to engineering as they allow for better designs through low-cost iterations. While CAD programs are typically taught to undergraduate students as a job skill, such software can also help students learn engineering concepts. A current limitation of CAD programs (even those that are specifically designed for educational purposes) is that they are not capable of providing automated real-time help to students.

Author/Presenter

Jasmine Singh

Viranga Perera

Alejandra J. Magana

Brittany Newell

Jin Wei-Kocsis

Ying Ying Seah

Greg J. Strimel

Charles Xie

Year
2022
Short Description

Computer-aided design (CAD) programs are essential to engineering as they allow for better designs through low-cost iterations. While CAD programs are typically taught to undergraduate students as a job skill, such software can also help students learn engineering concepts. A current limitation of CAD programs (even those that are specifically designed for educational purposes) is that they are not capable of providing automated real-time help to students. To encourage CAD programs to build in assistance to students, we used data generated from students using a free, open-source CAD software called Aladdin to demonstrate how student data combined with machine learning techniques can predict how well a particular student will perform in a design task.

Using Machine Learning to Predict Engineering Technology Students’ Success with Computer-Aided Design

Computer-aided design (CAD) programs are essential to engineering as they allow for better designs through low-cost iterations. While CAD programs are typically taught to undergraduate students as a job skill, such software can also help students learn engineering concepts. A current limitation of CAD programs (even those that are specifically designed for educational purposes) is that they are not capable of providing automated real-time help to students.

Author/Presenter

Jasmine Singh

Viranga Perera

Alejandra J. Magana

Brittany Newell

Jin Wei-Kocsis

Ying Ying Seah

Greg J. Strimel

Charles Xie

Year
2022
Short Description

Computer-aided design (CAD) programs are essential to engineering as they allow for better designs through low-cost iterations. While CAD programs are typically taught to undergraduate students as a job skill, such software can also help students learn engineering concepts. A current limitation of CAD programs (even those that are specifically designed for educational purposes) is that they are not capable of providing automated real-time help to students. To encourage CAD programs to build in assistance to students, we used data generated from students using a free, open-source CAD software called Aladdin to demonstrate how student data combined with machine learning techniques can predict how well a particular student will perform in a design task.

The Development of Critical Teaching Skills for Preservice Secondary Mathematics Teachers Through Video Case Study Analysis

Using social learning theory with the central concept of a community of practice, we situate this work within a secondary mathematics methods course to unpack preservice secondary mathematics teachers (PSMTs) development through the use of video case studies. We analyzed six sessions of the course in which PSMTs engaged in discussions about video segments of mathematics teaching rooted in the Teaching for Robust Understanding (TRU) framework for high-quality instruction. Analysis of this data showed opportunities for PSMTs to develop critical skills for teaching (Hiebert et al., 2007).

Author/Presenter

Helene S. Leonard

Youngjun Kim

Su San Lim

Victoria D. Bonaccorso

Joseph DiNapoli

Eileen Murray

Lead Organization(s)
Year
2021
Short Description

Using social learning theory with the central concept of a community of practice, we situate this work within a secondary mathematics methods course to unpack preservice secondary mathematics teachers (PSMTs) development through the use of video case studies. We analyzed six sessions of the course in which PSMTs engaged in discussions about video segments of mathematics teaching rooted in the Teaching for Robust Understanding (TRU) framework for high-quality instruction.

360 Video as an Immersive Representation of Practice: Interactions between Reported Benefits and Teacher Noticing

This study examined and compared teachers’ perceived affordances of 360 video as a representation of practice and their professional noticing of students’ mathematics in 360 videos. Data were collected from both preservice and inservice teachers (n = 34) enrolled in one of three mathematics pedagogy courses. Data included participant responses after watching a 360 video of a primary grades mathematics lesson on the commutative property. Teachers described an important student action and indicated where they focused while watching the video.

Author/Presenter

Karl Wesley Kosko 

Tracy Weston

Julie Amador

Lead Organization(s)
Year
2021
Short Description

This study examined and compared teachers’ perceived affordances of 360 video as a representation of practice and their professional noticing of students’ mathematics in 360 videos. Results from this study suggest that referencing teacher movement and student tables or groups is associated with a higher focus on student actions and that 360 video affords opportunities for teachers to notice students’ mathematical thinking.

Representations of Practice Used in Mathematics Methods Courses

This preliminary study explored how many representations of standard videos, animations/comics, and 360 videos are being used in mathematics methods courses to teach future teachers. Drawing on knowledge from prior studies on standard videos, this study aimed to address the gaps in literature to encompass other representations that are being utilized and obtained. Analyses show that standard videos are the primary medium being used to teach future teachers in math methods, followed by animations/comics, and then 360 videos.

Author/Presenter

Christine K. Austin

Karl W. Kosko

Lead Organization(s)
Year
2022
Short Description

This preliminary study explored how many representations of standard videos, animations/comics, and 360 videos are being used in mathematics methods courses to teach future teachers. Drawing on knowledge from prior studies on standard videos, this study aimed to address the gaps in literature to encompass other representations that are being utilized and obtained.