Program leaders put a tremendous amount of thought into how they recruit students for engineering summer camps. Recruitment methods can include information sessions, established partnerships with school districts, and teacher or school counselor nominations of students. This study seeks to assess if the methods used to recruit students broaden participation or have any impact on students’ perceptions of engineering. Two identical week-long summer camps were hosted by the University of Texas at Austin (UT Austin) in the summer of 2022. Camps were entirely free for all campers. A specific goal of the camp was to promote engineering as a career pathway for students from groups that have been historically excluded from STEM majors. Campers were rising 8th and 9th grade students in two cities near UT Austin; this age was intentionally identified as students who have sufficient STEM backgrounds to engage in meaningful engineering design challenges, and who are also at a critical inflection point with respect to decisions that put them on a trajectory to study engineering in college. Summer camp topics ranged from additive manufacturing to the chemical properties of water proofing, and students did activities such as constructing a prosthetic limb from recovered materials or designing an electronic dance game pad.
In one camp session, students primarily found out about the camp by being nominated by counselors at their schools, with an intentional focus on recruiting students who might not otherwise be exposed to engineering. In the other camp session, parents signed up campers after hearing about the camp via information sent through the schools. All students who applied were accepted to the camps. Identical pre- and post-camp surveys asked campers questions about their knowledge of what engineers do, their interest in math and science, and what factors are important to them when choosing a career. Survey analysis showed that there were statistically significant differences in answers to questions between the groups in the pre-camp surveys, but post-camp surveys show that these differences disappeared after participating in the summer camp. Students whose parents directly enrolled them in the camp had higher pre-camp interest in science and technology; thus, counselor nominations may be a method to recruit students who might not have been interested in engineering had they not attended the camp. Additionally, prior to participating, campers recruited via counselor nominations had a narrower view of what engineers do than the parent-enrolled campers, but after camp the two groups had similar perceptions of what engineers do. The results of this study confirm literature findings regarding the importance of exposing young learners to engineering as a profession and broaden their views of opportunities in this field. The recruitment methods used for these camps show that nomination-based recruitment methods have the potential for greater impact on changing students’ engineering trajectories.
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Creating online supports for at home making and STEM projects during COVID-19 (Work in Progress)
Our NSF-funded project, CoBuild19, sought to address the large-scale shift to at-home learning based on nationwide school closures that occurred during COVID-19 through creating making/STEM activities for families with children in grades K-6. Representing multiple organizations, our CoBuild19 project team developed approximately 60 STEM activities that make use of items readily available in most households. From March through June 2020, we produced and shared videos and activity guides, averaging 3+ new activities per week. Initially, the activities consisted of whatever team members could pull together, but we soon created weekly themes with associated activities, including Design and Prototype Week, Textiles Week, Social and Emotional Learning Week, and one week which highlighted kids sharing cooking and baking recipes for other kids.
All activities were delivered fully online. To do so, our team started a Facebook group on March 13, 2020. Membership grew to 3490 followers by April 1st, to 4245 by May 1st, and leveled off at approximately 5100 members since June 2020. To date, 22 of our videos have over 1000 views, with the highest garnering 23K views. However, we had very little participation in the form of submitted videos, images, or text from families sharing what they were creating, limiting our possible analyses. While we had some initial participation by members, as the FB group grew, substantive evidence of participation faded. To better understand this drop, we polled FB group members about their use of the activities. Responses (n = 101) were dominated by the option, "We are glad to know the ideas are available, but we are not using much" (49%), followed by, "We occasionally do activities" (35%). At this point, we had no data about home participation, so we decided to experiment with different approaches.
Our next efforts focused on conducting virtual maker/STEM camps. Leveraging the content produced in the first months of CoBuild19, we hosted two rounds of Camp CoBuild by the end of July, serving close to 100 campers. The camps generated richer data in the form of recorded Zoom camp sessions where campers made synchronously with educators and youth-created Flipgrid videos where campers shared their process and products for each activity. We also collected post-camp surveys and some caregiver interviews. Preliminary analyses have focused on the range of participant engagement and which malleable factors may be associated with deeper engagement. Initial feedback from caregivers indicated that their children gained confidence to experiment with simple materials through engaging in these activities.
This project sought to fill what we perceived as a developing need in the community at a large scale (e.g., across the US). Although we have not achieved the level of success we expected, the project achieved quick growth that took us in a different direction than we originally intended. Overall, we created content that educators and families can use to engage kids with minimal materials. Additionally, we have a few models of extended engagement (e.g., Camp CoBuild) that we can develop further into future offerings.
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- Award ID(s):
- 2027368
- NSF-PAR ID:
- 10342775
- Date Published:
- Journal Name:
- Zone 1 Conference of the American Society for Engineering Education
- ISSN:
- 2332-368X
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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Background: Short-term forecasts of infectious disease burden can contribute to situational awareness and aid capacity planning. Based on best practice in other fields and recent insights in infectious disease epidemiology, one can maximise the predictive performance of such forecasts if multiple models are combined into an ensemble. Here, we report on the performance of ensembles in predicting COVID-19 cases and deaths across Europe between 08 March 2021 and 07 March 2022.
Methods: We used open-source tools to develop a public European COVID-19 Forecast Hub. We invited groups globally to contribute weekly forecasts for COVID-19 cases and deaths reported by a standardised source for 32 countries over the next 1–4 weeks. Teams submitted forecasts from March 2021 using standardised quantiles of the predictive distribution. Each week we created an ensemble forecast, where each predictive quantile was calculated as the equally-weighted average (initially the mean and then from 26th July the median) of all individual models’ predictive quantiles. We measured the performance of each model using the relative Weighted Interval Score (WIS), comparing models’ forecast accuracy relative to all other models. We retrospectively explored alternative methods for ensemble forecasts, including weighted averages based on models’ past predictive performance.
Results: Over 52 weeks, we collected forecasts from 48 unique models. We evaluated 29 models’ forecast scores in comparison to the ensemble model. We found a weekly ensemble had a consistently strong performance across countries over time. Across all horizons and locations, the ensemble performed better on relative WIS than 83% of participating models’ forecasts of incident cases (with a total N=886 predictions from 23 unique models), and 91% of participating models’ forecasts of deaths (N=763 predictions from 20 models). Across a 1–4 week time horizon, ensemble performance declined with longer forecast periods when forecasting cases, but remained stable over 4 weeks for incident death forecasts. In every forecast across 32 countries, the ensemble outperformed most contributing models when forecasting either cases or deaths, frequently outperforming all of its individual component models. Among several choices of ensemble methods we found that the most influential and best choice was to use a median average of models instead of using the mean, regardless of methods of weighting component forecast models.
Conclusions: Our results support the use of combining forecasts from individual models into an ensemble in order to improve predictive performance across epidemiological targets and populations during infectious disease epidemics. Our findings further suggest that median ensemble methods yield better predictive performance more than ones based on means. Our findings also highlight that forecast consumers should place more weight on incident death forecasts than incident case forecasts at forecast horizons greater than 2 weeks.
Funding: AA, BH, BL, LWa, MMa, PP, SV funded by National Institutes of Health (NIH) Grant 1R01GM109718, NSF BIG DATA Grant IIS-1633028, NSF Grant No.: OAC-1916805, NSF Expeditions in Computing Grant CCF-1918656, CCF-1917819, NSF RAPID CNS-2028004, NSF RAPID OAC-2027541, US Centers for Disease Control and Prevention 75D30119C05935, a grant from Google, University of Virginia Strategic Investment Fund award number SIF160, Defense Threat Reduction Agency (DTRA) under Contract No. HDTRA1-19-D-0007, and respectively Virginia Dept of Health Grant VDH-21-501-0141, VDH-21-501-0143, VDH-21-501-0147, VDH-21-501-0145, VDH-21-501-0146, VDH-21-501-0142, VDH-21-501-0148. AF, AMa, GL funded by SMIGE - Modelli statistici inferenziali per governare l'epidemia, FISR 2020-Covid-19 I Fase, FISR2020IP-00156, Codice Progetto: PRJ-0695. AM, BK, FD, FR, JK, JN, JZ, KN, MG, MR, MS, RB funded by Ministry of Science and Higher Education of Poland with grant 28/WFSN/2021 to the University of Warsaw. BRe, CPe, JLAz funded by Ministerio de Sanidad/ISCIII. BT, PG funded by PERISCOPE European H2020 project, contract number 101016233. CP, DL, EA, MC, SA funded by European Commission - Directorate-General for Communications Networks, Content and Technology through the contract LC-01485746, and Ministerio de Ciencia, Innovacion y Universidades and FEDER, with the project PGC2018-095456-B-I00. DE., MGu funded by Spanish Ministry of Health / REACT-UE (FEDER). DO, GF, IMi, LC funded by Laboratory Directed Research and Development program of Los Alamos National Laboratory (LANL) under project number 20200700ER. DS, ELR, GG, NGR, NW, YW funded by National Institutes of General Medical Sciences (R35GM119582; the content is solely the responsibility of the authors and does not necessarily represent the official views of NIGMS or the National Institutes of Health). FB, FP funded by InPresa, Lombardy Region, Italy. HG, KS funded by European Centre for Disease Prevention and Control. IV funded by Agencia de Qualitat i Avaluacio Sanitaries de Catalunya (AQuAS) through contract 2021-021OE. JDe, SMo, VP funded by Netzwerk Universitatsmedizin (NUM) project egePan (01KX2021). JPB, SH, TH funded by Federal Ministry of Education and Research (BMBF; grant 05M18SIA). KH, MSc, YKh funded by Project SaxoCOV, funded by the German Free State of Saxony. Presentation of data, model results and simulations also funded by the NFDI4Health Task Force COVID-19 (
https://www.nfdi4health.de/task-force-covid-19-2 ) within the framework of a DFG-project (LO-342/17-1). LP, VE funded by Mathematical and Statistical modelling project (MUNI/A/1615/2020), Online platform for real-time monitoring, analysis and management of epidemic situations (MUNI/11/02202001/2020); VE also supported by RECETOX research infrastructure (Ministry of Education, Youth and Sports of the Czech Republic: LM2018121), the CETOCOEN EXCELLENCE (CZ.02.1.01/0.0/0.0/17-043/0009632), RECETOX RI project (CZ.02.1.01/0.0/0.0/16-013/0001761). NIB funded by Health Protection Research Unit (grant code NIHR200908). SAb, SF funded by Wellcome Trust (210758/Z/18/Z). -
Early in the pandemic we gathered a group of educators to create and share at-home educational opportunities for families to design and make STEAM projects while at home. As this effort, CoBuild19, continued, we decided to extend our offerings to include basic computer programming. To accomplish this, we created an offering called the Design with Code Club (DwCC). We structured DwCC to be different from other common coding offerings in that we wanted the main focus to be on kids designing solutions to problems that might include the use of technology and coding. We were purposeful in this decision for two main reasons. First, we wanted to make our coding club more interesting to girls, where previous research demonstrates their interest in designing solutions. Second, we wanted this effort to be different from most programming instruction, where coding activities use programming as the core of instruction and application in authentic and student-selected contexts plays a secondary role. DwCC was set up so that each of the first four weeks had a different larger challenge that was COVID-19 related and sessions unfolded with alternating smaller challenges, discussion around design and coding instruction that would develop their skills and knowledge of micro:bit capabilities. We culminated DwCC with an open-ended project where the kids were given the challenge of coming up with their own problem for which they might incorporate micro:bit as part of the solution. Because we were doing all of this online, we used the micro:bit interface through Microsoft MakeCode, which includes a functional simulator. From our experiences we realized that simulations are not as enticing as physical computing with a tangible device, so we set up an incentive where youth who participated in at least three sessions of the club would receive a physical micro:bit. We advertised DwCC through Facebook and twitter and had nearly 200 families register their kids to participate. In the end, a total of 52 micro:bits were sent to youth participants. Based on this success, we sought to expand the effort and increase accessibility for groups that are traditionally underrepresented in STEM. In spring 2021, we offered a Girls DwCC. This was a redesigned version of the club where the focus was even more on problem-solving through design. The club was run by all women, including one from the US, an Industrial Engineer from Mexico and a computer programmer from Albania. More than 50 girls from 17 countries participated in the club! We are working on another version of GDwCC that will be offered in Spanish and focus on Latina girls in the US and Mexico. In the most recent iteration of DwCC we are working with an educator at a school for deaf students to create a version of the club that works for their students. We are doing some modification of activities and recreating videos that involve sign language interpretation. In this presentation we will report on the variants of DwCC, results from participant feedback surveys and plans for future versions.more » « less
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The importance of promoting interest in STEM is crucial to the recruitment and retainment of underrepresented populations in the STEM field. We created a one-week summer camp program centered around astronomy using Minecraft to help promote interest in science. We capitalize on data logs collected from two 1-week camps in summer 2019 and code scientific observations made by campers for the types of scientific observations and their level of quality using Cohen’s Kappa. Results showed that the majority of observations are descriptive, comparative, inferential, or analogous, as opposed to being off topic or factual. We discuss possible reasons for this distribution and design implications for future reiterations.more » « less
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We began this project with three goals: (1) engage families in engineering activities, (2) increase the awareness of kids and caregivers as to what engineering is, and (3) increase children’ interest in engineering. We focused on caregivers and home environments because of the important role that at-home experiences with STEM play in triggering interest for many individuals who enter STEM professions. We created and distributed four different kits to families interested in engaging in STEM activities at home. Each kit included a challenge around engineering-related content (e.g., circuits, construction) and contained activity instructions (child) and a facilitation guide (caregivers). However, few instructions were given to caregivers about the expectations of their role while engaging with their children. This paper reports on the findings from family engagement in the Watercolor Bot kit. We sought to explore the roles enacted and behaviors utilized by caregivers as they supported their children during the activity. Our findings add to the conversation about how to define and conceptualize caregiver roles and how the home context/setting influences the types of supports caregivers provide. In contrast to emerging work on caregiver support, we argue that it may be more fruitful to think about the types of support (physical, verbal, content, and managerial) offered rather than defining specific roles (e.g., collaborator, project manager, etc.). We provide implications for designing kits and activities to include specific support for caregivers beyond simply providing project-specific instructions that address caregivers’ needs.more » « less
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Accepted Manuscript1.0
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