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Yuting Liu; Peng Peng; Xueye Yan – Grantee Submission, 2025
In this meta-analysis of 54 longitudinal studies with over 58,000 students in kindergarten through 12th grade, we examined the predictive nature of early numeracy measured at or before the first year of formal schooling in relation to later mathematics. Results showed that early numeracy significantly predicted mathematics measured after 6 months…
Descriptors: Numeracy, Mathematics Skills, Mathematics Education, Predictor Variables
Noelle M. Suntheimer; Sharon Wolf – Grantee Submission, 2023
This study investigated whether transitory and persistent poverty spells were associated with children's learning (literacy and numeracy scores) and executive function outcomes in Ghana. Children resided in the Greater Accra region (N = 2,154; 49% female; M[subscript age] = 5.2 years at wave-1) and were followed at four-time points over three…
Descriptors: Poverty, Correlation, Executive Function, Learning Processes
Melissa Lee; Chun-Wei Huang; Kelly Collins; Mingyu Feng – Grantee Submission, 2025
Math anxiety has been found to negatively correlate with math achievement, affecting students' choices to take fewer math classes and avoid math educational opportunities. Educational technology tools can ameliorate some of the negative effects of math anxiety. We examined students' math anxiety, effort in an educational technology platform, and…
Descriptors: Correlation, Mathematics Anxiety, Mathematics Achievement, Outcomes of Education
Haim, Aaron; Heffernan, Neil T. – Grantee Submission, 2022
Studies have shown that on-demand assistance, additional instruction given on a problem per student request, improves student learning in online learning environments. Students may have opinions on whether an assistance was effective at improving student learning. As students are the driving force behind the effectiveness of assistance, there…
Descriptors: Learning Management Systems, Student Attitudes, Learning Processes, Online Courses
Joseph Wong; Edward Chen; Natalie Au-Yeung; Bella Lerner; Lindsey Richland – Grantee Submission, 2022
Historically, learning for young students has occurred in formal, in-person classroom environments, but the distance learning context has opened a myriad of learning modalities. To this end, we aim to better understand how deploying learning experience design (LXD) approach supports or hinders children's engagement while participating in an…
Descriptors: Learning Processes, Attention Control, Learning Experience, Learner Engagement
Jin, Hui; Delgado, Cesar; Bauer, Malcolm I.; Wylie, E. Caroline; Cisterna, Dante; Llort, Kenneth F. – Grantee Submission, 2019
In this article, we report on a three-pronged effort to create a hypothetical learning progression for quantification in science. First, we drew from history and philosophy of science to define the quantification competency and develop hypothetical levels of the learning progression. More specifically, the quantification competency refers to the…
Descriptors: Science Education, History, Philosophy, Scientific Principles
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
Sally P. W. Wu; Martina A. Rau – Grantee Submission, 2019
Recent research suggests that drawing activities can help students learn concepts in the science, technology, engineering, and mathematics (STEM) disciplines. In particular, drawing activities, which mimic the practices of STEM professionals, can help students engage with visual-spatial content. However, prior work has also shown that students…
Descriptors: Freehand Drawing, STEM Education, Learning Processes, College Students
Steven Moore; Huy Anh Nguyen; John Stamper – Grantee Submission, 2021
While generating multiple-choice questions has been shown to promote deep learning, students often fail to realize this benefit and do not willingly participate in this activity. Additionally, the quality of the student-generated questions may be influenced by both their level of engagement and familiarity with the learning materials. Towards…
Descriptors: Multiple Choice Tests, Learning Processes, Learner Engagement, Familiarity
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Grantee Submission, 2022
This paper demonstrates how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. We examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance prediction; and (2) what types of in-game features were associated with student…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Tara L. Hofkens; Jessica Whittaker; Robert C. Pianta; Virginia Vitiello; Erik Ruzek; Arya Ansari – Grantee Submission, 2022
Despite research demonstrating the importance of mathematics achievement to children's educational success and trajectories, many children enter kindergarten without the foundational mathematics skills needed to succeed (Garcia & Weiss, 2015). Children's executive function (EF) skills and their learning-related behaviors (Anthony & Ogg,…
Descriptors: Preschool Education, Preschool Children, Executive Function, Mathematics Achievement
Luo, Rufan; Pace, Amy; Levine, Dani; Iglesias, Aquiles; de Villiers, Jill; Golinkoff, Roberta Michnick; Wilson, Mary Sweig; Hirsh-Pasek, Kathy – Grantee Submission, 2021
Children learning two languages (Dual Language Learners; DLLs) represent a rapidly growing population in the United States. DLLs are disproportionately more likely to live in families of low socioeconomic status (SES), which places many of them at risk for poor dual-language outcomes. To date, most studies on SES and dual language development have…
Descriptors: Bilingualism, English Language Learners, Spanish, Learning Processes
Jessica Drescher; Lily Steyer; Carrie Townley-Flores; Keith Humphreys – Grantee Submission, 2022
The potential spillover effects of the United States' opioid epidemic on children's educational outcomes have received surprisingly little attention from researchers. Accordingly, this study leverages national datasets of county-level opioid prescription rates and public school students' third- to eighth-grade academic achievement to provide the…
Descriptors: Narcotics, Academic Achievement, Educational Attainment, Incidence
Levine, Dani; Pace, Amy; Luo, Rufan; Hirsh-Pasek, Kathy; Golinkoff, Roberta Michnick; de Villiers, Jill; Igesias, Aquiles; Wilson, Mary Sweig – Grantee Submission, 2020
Early language competence is a reliable and powerful predictor of children's success in school, and word gaps linked to socioeconomic status disparities have cascading effects on academic outcomes. While early research -- such as the work of Hart and Risley (1995) -- focused on gaps in vocabulary, growing evidence reveals wide gaps in syntax as…
Descriptors: Language Skills, Socioeconomic Status, Screening Tests, Social Differences
Guerrero, Tricia A.; Griffin, Thomas D.; Wiley, Jennifer – Grantee Submission, 2020
The Predict-Observe-Explain (POE) learning cycle improves understanding of the connection between empirical results and theoretical concepts when students engage in hands-on experimentation. This study explored whether training students to use a POE strategy when learning from social science texts that describe theories and experimental results…
Descriptors: Prediction, Observation, Reading Comprehension, Correlation
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