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Eric J. Bruns; Kristine Lee; Chayna Davis; Michael D. Pullmann; Kristy Ludwig; Mark Sander; Cheryl Holm-Hansen; Sharon Hoover; Elizabeth M. McCauley – Grantee Submission, 2023
Schools offer an advantageous setting for prevention, early identification, and treatment of mental health problems for youth. However, school mental health (SMH) services are typically not based on evidence for effectiveness, nor are they efficiently delivered, with SMH practitioners (SMHPs) able to only treat a small number of students in need.…
Descriptors: Program Effectiveness, Program Length, Learner Engagement, Problem Solving
Nina K. Simms; Bryan J. Matlen; Benjamin D. Jee; Dedre Gentner – Grantee Submission, 2023
Visual comparisons are pervasive in science, technology, engineering, and mathematics (STEM) instruction and practice. In previous work, adults' visual comparisons of simple stimuli were faster and more accurate when the layout of a display facilitated alignment of corresponding elements--the "spatial alignment principle" (Matlen et al.,…
Descriptors: Spatial Ability, Biological Sciences, Visual Aids, Stimuli
Erin Ottmar; Ji-Eun Lee; Kirk Vanacore; Siddhartha Pradhan; Lauren Decker-Woodrow; Craig A. Mason – Grantee Submission, 2023
This paper provides information on datasets for the research project that examined the efficacy of three educational technologies including "From Here to There!", a research-based game for improving algebraic understanding. The dataset contains 4,092 7th-grade students' data collected through a randomized control trial conducted in…
Descriptors: Data, Mathematics Achievement, Algebra, Educational Technology
Tory L. Ash; Samantha C. Maguire – Grantee Submission, 2023
Pervasive disparities in educational outcomes suggest the need to train teachers to better support minoritized students by leading inclusive, equitable, and multicultural classrooms. Given the potential benefits of teacher training in antiracist and culturally responsive instructional practices, we synthesized the available research on diversity…
Descriptors: School Psychology, Diversity, Culturally Relevant Education, Racism
Jeannette Mancilla-Martinez; Min Hyun Oh; Gigi Luk; Adam Rollins – Grantee Submission, 2023
Using state-level data, we report unadjusted and adjusted odds ratio of special education (SPED) trends in Tennessee from 2009-2019 for students in grades 3-8 by 3 language groups: native English speakers (NES), English-proficient bilinguals (EPB) and Current English learners (Current EL). We report trends across all SPED disability categories and…
Descriptors: Special Education, Educational Trends, Elementary School Students, Grade 3
Michael Matta; Sterett H. Mercer; Milena A. Keller-Margulis – Grantee Submission, 2023
Recent advances in automated writing evaluation have enabled educators to use automated writing quality scores to improve assessment feasibility. However, there has been limited investigation of bias for automated writing quality scores with students from diverse racial or ethnic backgrounds. The use of biased scores could contribute to…
Descriptors: Bias, Automation, Writing Evaluation, Scoring
Leslie M. Babinski; Desiree W. Murray; Jill V. Hamm – Grantee Submission, 2023
Adolescents are in a dynamic period of cognitive, emotional, and behavioral development. School-based interventions that focus on social-emotional learning, including the development of self-regulation skills, have been shown to have positive impacts on students' mental health and academic achievement. In this qualitative study, we examine health…
Descriptors: Self Control, Middle School Teachers, Health Education, School Counselors
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Marie-Andree Somers – Grantee Submission, 2023
The learning losses caused by the COVID-19 pandemic make this an important time to identify strategies that can help students accelerate their learning. The Strategic Adolescent Reading Intervention (STARI) is a year-long supplemental reading intervention that is intentionally designed to address the motivational barriers of middle school students…
Descriptors: Urban Schools, School Districts, Reading Instruction, Intervention
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Grantee Submission, 2023
This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction; and…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Brian Freeman; Supriya Tamang; Jesse Wood; Liz M. B. Yadav – Grantee Submission, 2023
The Intercultural Development Research Association (IDRA) was awarded an Education Innovation and Research (EIR) Early Phase grant from the U.S. Department of Education in 2017 to develop, implement, and test a promising program to improve student achievement and educational progress for high-need students: Reenergizing Leadership to Achieve…
Descriptors: Grants, Educational Innovation, Academic Achievement, Program Development
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Amy Adair; Michael Sao Pedro; Janice Gobert; Jessica A. Owens – Grantee Submission, 2023
Developing models and using mathematics are two key practices in internationally recognized science education standards such as the Next Generation Science Standards (NGSS, 2013). In this paper, we used a virtual performance-based formative assessment to capture students' competencies at both "developing" and "evaluating"…
Descriptors: Student Evaluation, Mathematical Models, Competence, Scientific Research
Elizabeth Glennie; Erich Lauff; Roger Studley; Ben Dalton – Grantee Submission, 2023
Earning industry certifications helps people prepare for jobs in a range of careers. Doing so in high school may help students prepare for college as well. Using administrative data on two cohorts of first-time 9th graders in Florida, we examined whether earning a certification was associated with postsecondary enrollment and degree attainment and…
Descriptors: Career Pathways, Credentials, Certification, High School Students
Kirk P. Vanacore; Ashish Gurung; Andrew A. McReynolds; Allison Liu; Stacy T. Shaw; Neil T. Heffernan – Grantee Submission, 2023
As evidence grows supporting the importance of non-cognitive factors in learning, computer-assisted learning platforms increasingly incorporate non-academic interventions to influence student learning and learning related-behaviors. Non-cognitive interventions often attempt to influence students' mindset, motivation, or metacognitive reflection to…
Descriptors: Intervention, Program Effectiveness, Student Behavior, Computer Assisted Instruction
Jordan Rickles; Margaret Clements; Iliana Brodziak de los Reyes; Mark Lachowicz; Shuqiong Lin; Jessica Heppen – Grantee Submission, 2023
Online credit recovery will likely expand in the coming years as school districts try to address increased course failure rates brought on by the coronavirus pandemic. Some researchers and policymakers, however, raise concerns over how much students learn in online courses, and there is limited evidence about the effectiveness of online credit…
Descriptors: Online Courses, Electronic Learning, Repetition, Required Courses
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Husni Almoubayyed; Stephen E. Fancsali; Steve Ritter – Grantee Submission, 2023
Recent research seeks to develop more comprehensive learner models for adaptive learning software. For example, models of reading comprehension built using data from students' use of adaptive instructional software for mathematics have recently been developed. These models aim to deliver experiences that consider factors related to learning beyond…
Descriptors: Middle School Students, Middle School Mathematics, Reading Comprehension, Intelligent Tutoring Systems
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