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Education Data Science
EDS Projects
By:
Kennedy Reed
Sense of community motivates students and teachers alike. Studies have shown that teacher collaboration relates to effective learning experiences and school social environments. Research also shows that representing students' culture in their learning can increase their engagement.
Exploring Mathematical Language Use and Classroom Dynamics in Quantitative Methods
By:
Jiner Zheng
Mathematical success relies heavily on understanding and using specific language and vocabulary. Developing mathematical language through both informal and explicit instruction is vital for helping students navigate math content.
How Tutor Discourse Shares or Splits Attention Across Students in Small-Group Tutoring
By:
Qingyang (Ashley) Zhang
Tutoring is an important educational tool and what the teacher attends to has important consequences for more equitable learning. In small group tutoring, instructors pay individualized attention to students to offer opportunities for authentic engagement and mastery learning.
Learning the Curve: The Language of Text-Based Data Visualizations Adoption in ELA Teachers
By:
Dorna Abdi
As the integration of technology in education continues to grow, understanding how teachers adopt and utilize new tools is critical for enhancing instructional practices.
Navigating the Nuances: Quantifying Linguistic Diversity in Online Tutoring
By:
Jürgen Dieber
Online tutoring, a practice integral to educational adaptability during the post-pandemic era, hinges on effective tutor-student interactions.
By:
Richard (Chenming) Tang
Race and gender biases have been a long-standing issue in paper textbooks, but prior research showed that online literacy development materials still carry significant biases and misrepresentations, potentially exacerbating the problem at a much larger scale.
Teacher Ratings of Machine-Generated Instructional Scaffolds for K12 Math Classrooms
By:
Rizwaan Malik
This study investigates the potential of Large Language Models (LLMs) in generating instructional scaffolds comparable to human-crafted materials, focusing on the development of warmup tasks that review and activate prior knowledge.
Text Mining of Online Student Reviews of Postsecondary Institutions Using Large Language Models
By:
Kathy Yin
Choosing a college for the next four years is perceived as a high-stakes and high-risk decision for students. Oftentimes, students rely on word-of-mouth (WOM) from parents, families, peers, and guidance counselors to compare college choices.
The Role of Gender and Race in Children’s Empathy Skills Across a Preschool Year
By:
Emma Strouse
Children’s ability to recognize and respond appropriately to peers’ emotional states becomes increasingly significant as children enter formal schooling, where they will encounter diverse social situations.
Using LLMs To Improve Formulaic Readability Measures: A RoBERTa Approach
By:
Anvit Garg
Measuring text complexity is a crucial aspect of how we define and operationalize reading levels and metrics in K-12 curriculums and beyond. Applying Large language models (LLMs) to measure readability and complexity offers a new opportunity over older, more rigid, formulaic metrics.
The growing skills gap, driven by continuous technological advancement and shifts in the global labor market, has become one of the most critical issues for younger generations.
Could non-career-focused online credentials make you more employable?
Online courses issuing certificates have gotten substantially more popular over recent years. However, the market value of online credentials remains ambiguous, especially regarding non-career-focused credentials such as wine tasting, personal branding, or relationship building.
Over the past 50 years, the socioeconomic status (SES) achievement gap in math has widened as academia and practice have failed to deeply understand the underlying mechanisms and take adequate action to inhibit the growth of this inequality.
The United States school system has been historically and infamously racially segregated. That is due, in part, to school districts' enrollment and school assignment policies, which often rely upon residential arrangements.
Peer review is a cornerstone of scientific evaluation with over 200 years of history. High-stakes publication venues have important effects on the career of individual researchers, funding of various laboratories, reputation of institutions, and the collective knowledge of society.
Linguistic Indicators of the Growth Mindset
We analyze students’ essay responses and post-intervention outcomes(n= 4059) to find how language might correlate with stress levels.
Modeling Student Growth Over Time in Algebra I from a Digital Learning Environment
Algebra 1 holds significant importance as a mathematics course due to its content and its potential impact on students' long-term outcomes. Thus, monitoring students' achievement in Algebra 1 becomes crucial.
Not Just Data: Why Data Equity Matters in Education Program Evaluation
In program evaluation, evaluators make hundreds of decisions that impact millions of students who participate in educational programs outside of school every year.
Public Perspectives on Masking Policy in Schools
The COVID-19 pandemic has prompted the U.S. government to implement mitigation strategies, including school closures and mask mandates, to reduce infections and deaths.
Rescuing Moroccan Students Before It Is Too Late: Drop Out Early Warning System (Dews)
As a nation navigating its course through education reform, Morocco faces a critical challenge with its student dropout rates.
Sit Down Now: Computationally Identifying Classroom Management Practices
Classroom management is essential to the work of teaching and learning, affecting teacher retention, school climate, and academic and behavioral outcomes for students. Yet, teachers face difficulties developing competencies in classroom and behavior management.
Understanding Learner Performance on a Massive Open Online Practice Platform
The recent rise of online learning and practice platforms has not only given the promise to close the enormous current gap in educational resources around the world, but also put forward the need for a better understanding of their effectiveness and contributing factors.
Using Data to Understand the STEAM Curriculum Priorities of K-12 Schools
In recent years, interest in STEAM (science, technology, engineering, arts, and mathematics) Education has increased as an approach to teaching and learning that guides student inquiry, collaboration, and problem-solving.
Using Large Language Models to Examine Family Stresses During Pandemic
The COVID-19 pandemic has exposed families with young children to various difficulties and challenges, significantly affecting children’s early experiences and overall development.
