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1. Parak Pathak: Winner of the 2018 Clark Medal

   https://doi.org/https://doi.org/10.1257/jep.33.1.231  

   Pakes, Ariel ; Sobel, Joel ( January 2019 , The Journal of economic perspectives)

   The 2018 John Bates Clark medal of the American Economic Association was awarded to Parag Pathak for his contributions to our understanding of the impacts of educational policies. Both the theory and the empirical research was notable for taking the constraints facing administrators seriously. As a result, Parag’s research led directly to educational reforms in many large U.S. cities and abroad. The leading example is Parag (and co-author’s) research on school assignment mechanisms which led many school districts to institute fairer and more efficient procedures for allocating students to schools. The institutional detail Parag learned in working on the assignment problem led to innovative empirical work on the impacts of different types of schools, most notably of charters, which was suggestive of the characteristics of both successful schools and of the types of students who gained from being enrolled in them. His recent work utilizes the data that has been generated by the new assignment rules to provide complete frameworks for the quantitative analysis of the benefits of different assignment mechanisms, and has an enlightening demonstration of those benefits in New York high schools. 

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2. Practitioner Perspectives on COVID-19’s Impact on Computer Science Education Among High Schools Serving Students from Lower and Higher Income Families

   https://doi.org/10.1145/3557047  

   McGill, Monica M. ; Snow, Eric ; Vaval, Luronne ; DeLyser, Leigh Ann ; Wortel-London, Stephanie ; Thompson, Angelica ( January 2022 , ACM Transactions on Computing Education)

   Research Problem. Computer science (CS) education researchers conducting studies that target high school students have likely seen their studies impacted by COVID-19. Interpreting research findings impacted by COVID-19 presents unique challenges that will require a deeper understanding as to how the pandemic has affected underserved and underrepresented students studying or unable to study computing. Research Question. Our research question for this study was: In what ways has the high school computer science educational ecosystem for students been impacted by COVID-19, particularly when comparing schools based on relative socioeconomic status of a majority of students? Methodology. We used an exploratory sequential mixed methods study to understand the types of impacts high school CS educators have seen in their practice over the past year using the CAPE theoretical dissaggregation framework to measure schools’ Capacity to offer CS, student Access to CS education, student Participation in CS, and Experiences of students taking CS. Data Collection Procedure. We developed an instrument to collect qualitative data from open-ended questions, then collected data from CS high school educators (n = 21) and coded them across CAPE. We used the codes to create a quantitative instrument. We collected data from a wider set of CS high school educators ( n = 185), analyzed the data, and considered how these findings shape research conducted over the last year. Findings. Overall, practitioner perspectives revealed that capacity for CS Funding, Policy & Curriculum in both types of schools grew during the pandemic, while the capacity to offer physical and human resources decreased. While access to extracurricular activities decreased, there was still a significant increase in the number of CS courses offered. Fewer girls took CS courses and attendance decreased. Student learning and engagement in CS courses were significantly impacted, while other noncognitive factors like interest in CS and relevance of technology saw increases. Practitioner perspectives also indicated that schools serving students from lower-income families had 1) a greater decrease in the number of students who received information about CS/CTE pathways; 2) a greater decrease in the number of girls enrolled in CS classes; 3) a greater decrease in the number of students receiving college credit for dual-credit CS courses; 4) a greater decrease in student attendance; and 5) a greater decrease in the number of students interested in taking additional CS courses. On the flip-side, schools serving students from higher income families had significantly higher increases in the number of students interested in taking additional CS courses. 

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3. Friends Are Resources Too: Examining College-Going Aspirations in Stable and Newly Established Friendships among Urban and Rural Low-Income Students

   Chen, I ; Young, L ; Schneider, B. ( January 2018 , American Educational Research Association)

   Drawing from social capital theory, this study examines the extent to which stable versus new friendship patterns affect low income students’ educational aspirations in urban and rural high schools. Using whole school sociometric data (744 high school students over a two-year period), this study applies a social influence model to determine the effects of stable and newly established friendships on conformity regarding college-going aspirations. Findings indicate that urban students have more new friends and their educational aspirations increased, conforming to those of their newly established friends. In contrast, rural students have more stable friendships than the urban students and their educational aspirations conformed to those of their stable friends. This work shows that rural students tend not to change their school network size or nominations. However, urban students are more willing to include new students in their school networks which have a positive effect on raising their educational aspirations. 

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4. “What Makes ChatGPT Dangerous is Also What Makes It Special”: High-School Student Perspectives on the Integration or Ban of Artificial Intelligence in Educational Contexts

   https://doi.org/10.46328/ijte.651  

   Famaye, Tolulope ; Bailey, Cinamon Sunrise ; Adisa, Ibrahim ; Arastoopour Irgens, Golnaz ( March 2024 , International Journal of Technology in Education)

   The emergence of ChatGPT, an AI-powered language model, has sparked numerous debates and discussions. In educational research, scholars have raised significant questions regarding the potential, limitations, and ethical concerns around the use of this technology. While research on the application and implications of ChatGPT in academic settings exists, analysis of the perspectives of high-school students are limited. In this study, we use qualitative content analysis to explore the perspectives of high-school students regarding the integration or ban of ChatGPT in their schools through the lens of the Technology Acceptance Model (TAM2). Data was sourced from students’ comments to a New York Times Learning Network article. Findings revealed that students' perceptions about integrating or banning ChatGPT in schools are influenced by their assessments of the technology’s usefulness, personal experiences, societal technology trends, and ethical considerations. Our findings suggest that student perspectives in this study align with those of educators and policymakers while also possessing unique perspectives that cater to their specific needs and experiences. Implications emphasize the significance of an inclusive decision-making process around the integration of AI schools in educational contexts, including students alongside other stakeholders.

    

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5. STEM Excellence and Leadership Program: Increasing the Level of STEM Challenge and Engagement for High-Achieving Students in Economically Disadvantaged Rural Communities

   https://doi.org/10.1177/0162353217745158  

   Ihrig, Lori M. ; Lane, Erin ; Mahatmya, Duhita ; Assouline, Susan G. ( March 2018 , Journal for the Education of the Gifted)

   High-achieving students in economically disadvantaged, rural schools lack access to advanced coursework necessary to pursue science, technology, engineering, and mathematics (STEM) educational and employment goals at the highest levels, contributing to the excellence gap. Out-of-school STEM programming offers one pathway to students’ talent development. Using a concurrent triangulation mixed-methods research design, this study was conducted to evaluate the experiences of 78 high-achieving students and their 32 teachers, participating in an extracurricular, school-based, STEM talent development program for rural students from economically disadvantaged communities. Findings suggest that students and teachers expressed satisfaction with program participation and that they thought more creatively and critically about their work. Results also showed that students’ perceptions of the mathematics and science activities were significantly different, which informs ways to improve programming for future high-achieving, rural students. These findings expand the literature supporting the use of informal STEM education environments for underserved gifted populations to increase engagement in and access to challenging curricula. 

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