skip to main content


This content will become publicly available on May 1, 2024

Title: Empowering Elementary Students with Community-Based Engineering: A Teacher’s Experience in a Rural School District
This paper presents a case study of an elementary teacher, Holly, who participated in a federally funded summer professional development (PD) program aimed at integrating community-based engineering into elementary education. The study examines how Holly’s teaching practices and beliefs about teaching engineering contributed to the significant improvements in her students’ attitudes toward engineering and their perceptions of engineering as a potential career. Data were collected over three years through multiple methods, including post-PD interviews, lesson recordings, and a post-teaching interview. We analyzed classroom videos using a video analysis protocol. We used open coding to analyze the interviews. Once the analysis of the interviews and videos was completed, we engaged in a sense-making process to identify connections across data points (videos and interviews). Our findings showed that Holly extensively incorporated scientific inquiry into her lessons. This approach enabled students to develop their inquiry skills and facilitated a smooth transition to engineering design activities. By connecting class activities to the local context, students were able to see the relevance of engineering to their everyday lives and take ownership of their learning. This study emphasizes the potential of community-focused engineering to foster meaningful science and engineering practices in elementary education.  more » « less
Award ID(s):
1916673
NSF-PAR ID:
10419414
Author(s) / Creator(s):
; ; ;
Date Published:
Journal Name:
Education Sciences
Volume:
13
Issue:
5
ISSN:
2227-7102
Page Range / eLocation ID:
434
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
More Like this
  1. This research paper describes a study of elementary teacher learning in an online graduate program in engineering education for in-service teachers. While the existing research on teachers in engineering focuses on their disciplinary understandings and beliefs (Hsu, Cardella, & Purzer, 2011; Martin, et al., 2015; Nadelson, et al., 2015; Van Haneghan, et al., 2015), there is increasing attention to teachers' pedagogy in engineering (Capobianco, Delisi, & Radloff, 2018). In our work, we study teachers' pedagogical sense-making and reflection, which, we argue, is critical for teaching engineering design. This study takes place in [blinded] program, in which teachers take four graduate courses over fifteen months. The program was designed to help teachers not only learn engineering content, but also shift their thinking and practice to be more responsive to their students. Two courses focus on pedagogy, including what it means to learn engineering and instructional approaches to support this learning. These courses consist of four main elements, in which teachers: 1) Read data-rich engineering education articles to reflect on learning engineering; 2) Participate in online video clubs, looking at classroom videos of students’ engineering and commenting on what they notice; 3) Conduct interviews with learners about the mechanism of a pull-back car; and 4) Plan and teach engineering lessons, collecting and analyzing video from their classrooms. In the context of this program, we ask: what stances do teachers take toward learning and teaching engineering design? What shifts do we observe in their stances? We interviewed teachers at the start of the program and after each course. In addition to reflecting on their learning and teaching, teachers watched videos of students’ engineering and discussed what they saw as relevant for teaching engineering. We informally compared summaries from previous interviews to get a sense of changes in how participants talked about engineering, how they approached teaching engineering, and what they noticed in classroom videos. Through this process, we identified one teacher to focus on for this paper: Alma is a veteran 3rd-5th grade science teacher in a rural, racially-diverse public school in the southeastern region of the US. We then developed content logs of Alma's interviews and identified emergent themes. To refine these themes, we looked for confirming and disconfirming evidence in the interviews and in her coursework in the program. We coded each interview for these themes and developed analytic memos, highlighting where we saw variability and stability in her stances and comparing across interviews to describe shifts in Alma's reasoning. It was at this stage that we narrowed our focus to her stances toward the engineering design process (EDP). In this paper, we describe and illustrate shifts we observed in Alma's reasoning, arguing that she exhibited dramatic shifts in her stances toward teaching and learning the EDP. At the start of the program, she was stable in treating the EDP as a series of linear steps that students and engineers progress through. After engaging and reflecting on her own engineering in the first course, she started to express a more fluid stance when talking more abstractly about the EDP but continued to take it up as a linear process in her classroom teaching. By the end of the program, Alma exhibited a growing stability across contexts in her stance toward the EDP as a fluid set of overlapping practices that students and engineers could engage in. 
    more » « less
  2. Objective Over the past decade, we developed and studied a face-to-face video-based analysis-of-practice PD model. In a cluster randomized trial, we found that the face-to-face model enhanced elementary science teacher knowledge and practice, and resulted in important improvements to student science achievement (student treatment effect, d = 0.52; Taylor et al., 2017: Roth et al., 2018). The face-to-face PD model is expensive and difficult to scale. In this poster, we present the results of a two-year design-based research study to translate the face-to-face PD into a facilitated online PD experience. The purpose is to create an effective, flexible, and cost-efficient PD model that will reach a broader audience of teachers. Perspective/Theoretical Framework The face-to-face PD model is grounded in situated cognition and cognitive apprenticeship frameworks. Teachers engage in learning science content and practices in the context in which they will be teaching. In addition, there are scaffolded opportunities for teachers to learn from model videos by experienced teachers, try model units, and ultimately develop their own unit, with guidance. The PD model also attends to the key features of effective PD as described by Desimone (2009) and others. We adhered closely to the design principles of the face-to-face model as described by Roth et al., 2018. Methods We followed a design-based research approach (DBR: Cobb et al., 2003: Shavelson et al., 2003) to examine the online program components and how they promoted or interfered with the development of teachers’ knowledge and reflective practice. Of central interest was the examination of mechanisms for facilitating teacher learning (Confrey, 2006). To accomplish this goal, design researchers engaged in iterative cycles of problem analysis, design, implementation, examination, and redesign (Wang & Hannafin, 2005). Data We iteratively designed, tested, and revised 17 modules across three pilot versions. Three small groups of teachers engaged in both synchronous and asynchronous components of the larger online course. They responded to surveys and took part in interviews related to the PD. The PD facilitators took extensive notes after each iteration. The development team met weekly to discuss revisions. Results We found that community building required the same incremental trust-building activities that occur in face-to-face PD. Teachers began with low-risk activities and gradually engaged in activities that required greater vulnerability (sharing a video of themselves teaching a model unit for analysis and critique by the group). We also identified how to contextualize technical tools with instructional prompts to allow teachers to productively interact with one another about science ideas asynchronously. As part of that effort, we crafted crux questions to surface teachers’ confusions or challenges related to content or pedagogy. Facilitators leveraged asynchronous responses to crux questions in the synchronous sessions to push teacher thinking further than would have otherwise been possible in a 2-hour synchronous video-conference. Significance Supporting teachers with effective, flexible, and cost-efficient PD is difficult under the best of circumstances. In the era of COVID-19, online PD has taken on new urgency. AERA members will gain insight into the construction of an online PD for elementary science teachers/ Full digital poster available at: https://aera21-aera.ipostersessions.com/default.aspx?s=64-5F-86-2E-15-F8-C3-C0-45-C6-A0-B7-1D-90-BE-46 
    more » « less
  3. Objective Over the past decade, we developed and studied a face-to-face video-based analysis-of-practice professional development (PD) model. In a cluster randomized trial, we found that the face-to-face model enhanced elementary science teacher knowledge and practice and resulted in important improvements to student science achievement (student treatment effect, d = 0.52; Taylor et al, 2017; Roth et al, 2018). The face-to-face PD model is expensive and difficult to scale. In this paper, we present the results of a two-year design-based research study to translate the face-to-face PD into a facilitated online PD experience. The purpose is to create an effective, flexible, and cost-efficient PD model that will reach a broader audience of teachers. Perspective/Theoretical Framework The face-to-face PD model is grounded in situated cognition and cognitive apprenticeship frameworks. Teachers engage in learning science content and effective science teaching practices in the context in which they will be teaching. There are scaffolded opportunities for teachers to learn from analysis of model videos by experienced teachers, to try teaching model units, to analyze video of their own teaching efforts, and ultimately to develop their own unit, with guidance. The PD model attends to the key features of effective PD as described by Desimone (2009) and others. We adhered closely to the design principles of the face-to-face model as described by Authors, 2019. Methods We followed a design-based research approach (DBR; Cobb et al., 2003; Shavelson et al., 2003) to examine the online program components and how they promoted or interfered with the development of teachers’ knowledge and reflective practice. Of central interest was the examination of mechanisms for facilitating teacher learning (Confrey, 2006). To accomplish this goal, design researchers engaged in iterative cycles of problem analysis, design, implementation, examination, and redesign (Wang & Hannafin, 2005) in phase one of the project before studying its effect. Data Three small pilot groups of teachers engaged in both synchronous and asynchronous components of the larger online course which began implementation with a 10-week summer course that leads into study groups of participants meeting through one academic year. We iteratively designed, tested, and revised 17 modules across three pilot versions. On average, pilot groups completed one module every two weeks. Pilot 1 began the work in May 2019; Pilot 2 began in August 2019, and Pilot 3 began in October 2019. Pilot teachers responded to surveys and took part in interviews related to the PD. The PD facilitators took extensive notes after each iteration. The development team met weekly to discuss revisions. We revised all modules between each pilot group and used what we learned to inform our development of later modules within each pilot. For example, we applied what we learned from testing Module 3 with Pilot 1 to the development of Module 3 for Pilots 2, and also applied what we learned from Module 3 with Pilot 1 to the development of Module 7 for Pilot 1. Results We found that community building required the same incremental trust-building activities that occur in face-to-face PD. Teachers began with low-risk activities and gradually engaged in activities that required greater vulnerability (sharing a video of themselves teaching a model unit for analysis and critique by the group). We also identified how to contextualize technical tools with instructional prompts to allow teachers to productively interact with one another about science ideas asynchronously. As part of that effort, we crafted crux questions to surface teachers’ confusions or challenges related to content or pedagogy. We called them crux questions because they revealed teachers’ uncertainty and deepened learning during the discussion. Facilitators leveraged asynchronous responses to crux questions in the synchronous sessions to push teacher thinking further than would have otherwise been possible in a 2-hour synchronous video-conference. Significance Supporting teachers with effective, flexible, and cost-efficient PD is difficult under the best of circumstances. In the era of covid-19, online PD has taken on new urgency. NARST members will gain insight into the translation of an effective face-to-face PD model to an online environment. 
    more » « less
  4. Abstract Background

    Elementary educators are increasingly asked to teach engineering design, motivating study of how they learn to teach this discipline. In particular, there is a need to examine how teachers reason about pedagogical situations and dilemmas in engineering—how they draw on their disciplinary understandings, attention to students' thinking, and pedagogical practices to support students' learning.

    Purpose/Hypothesis

    The purpose of our qualitative study was to examine elementary teachers' pedagogical reasoning in an online graduate program. We asked: What stances do teachers take toward learning and teaching engineering design? How do these stances shift over the course of the program?

    Design/Method

    We identified two teachers, Alma and Margaret, who exhibited productive shifts in their pedagogical reasoning during the program. Drawing on interviews and videos of their teaching, we developed case studies characterizing their stances toward teaching and learning engineering.

    Results

    Alma shifted in her reasoning about teaching the design process, from treating it as linear, discrete steps to recognizing the dynamic, overlapping nature of design practices. Similarly, Margaret shifted in how she reasoned about failure and iteration, recognizing the need to help students analyze unexpected design performances to learn from and iterate on their designs. For both teachers, these shifts were dynamic and nonlinear, reflecting both context‐sensitivity and growing stability in their reasoning.

    Conclusions

    Engineering teacher educators should provide opportunities for teachers to reason about the specific pedagogical dilemmas in engineering and consider how teachers integrate disciplinary understandings with attention to students' reasoning and actions and pedagogical practices.

     
    more » « less
  5. Artificial Intelligence (AI) enhanced systems are widely adopted in post-secondary education, however, tools and activities have only recently become accessible for teaching AI and machine learning (ML) concepts to K-12 students. Research on K-12 AI education has largely included student attitudes toward AI careers, AI ethics, and student use of various existing AI agents such as voice assistants; most of which has focused on high school and middle school. There is no consensus on which AI and Machine Learning concepts are grade-appropriate for elementary-aged students or how elementary students explore and make sense of AI and ML tools. AI is a rapidly evolving technology and as future decision-makers, children will need to be AI literate[1]. In this paper, we will present elementary students’ sense-making of simple machine-learning concepts. Through this project, we hope to generate a new model for introducing AI concepts to elementary students into school curricula and provide tangible, trainable representations of ML for students to explore in the physical world. In our first year, our focus has been on simpler machine learning algorithms. Our desire is to empower students to not only use AI tools but also to understand how they operate. We believe that appropriate activities can help late elementary-aged students develop foundational AI knowledge namely (1) how a robot senses the world, and (2) how a robot represents data for making decisions. Educational robotics programs have been repeatedly shown to result in positive learning impacts and increased interest[2]. In this pilot study, we leveraged the LEGO® Education SPIKE™ Prime for introducing ML concepts to upper elementary students. Through pilot testing in three one-week summer programs, we iteratively developed a limited display interface for supervised learning using the nearest neighbor algorithm. We collected videos to perform a qualitative evaluation. Based on analyzing student behavior and the process of students trained in robotics, we found some students show interest in exploring pre-trained ML models and training new models while building personally relevant robotic creations and developing solutions to engineering tasks. While students were interested in using the ML tools for complex tasks, they seemed to prefer to use block programming or manual motor controls where they felt it was practical. 
    more » « less