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Niu Gao; Saayili Budhiraja; Tianyi Dong; Yoony Lee; Emmanuel Prunty – Grantee Submission, 2024
California schools received over $60 billion from federal and state stimulus funding to help students recover from the pandemic. This infographic summarizes the major programs districts have implemented during the 2022-23 school year. Most districts extended learning time and hired instructional supports, but few provided high-dosage tutoring.…
Descriptors: School Districts, COVID-19, Pandemics, Program Implementation
Samuel Allen Patton; Douglas Fuchs; Emma L. Hendricks; Annie J. Pennell; Meagan E. Walsh; Lynn S. Fuchs; Wen Zhang Tracy; Loulee Yen Haga – Grantee Submission, 2022
Reading nonfiction texts with understanding is important to school success, yet many students struggle to do so. This randomized controlled trial extends previous research by contrasting an earlier iteration of a comprehension tutoring program (Comp) against a variant with strategies for transferring learning (Comp+Transfer). Participants were 189…
Descriptors: Nonfiction, Reading Comprehension, Elementary School Students, Grade 4
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Andrew Chang; Emily Mauer – Grantee Submission, 2024
Teaching elementary students how to read is undeniably crucial, yet a substantial number of children encounter difficulties despite early interventions (NCES, 2022). Cross-age tutoring, a pedagogical approach that pairs older students with younger peers, emerges as a cost-effective solution that brings academic and social benefits to both the…
Descriptors: Cross Age Teaching, Tutoring, Reading Instruction, Elementary School Teachers
Curtis J. Jones; Dongmei Li – Grantee Submission, 2023
Future Forward is an early primary literacy program that pairs one-on-one tutoring with family engagement. The approach of Future Forward is informed by both systems theory and a school-family-community partnership model. With its school-family-community partnership approach, schools are not solely responsible for developing student literacy.…
Descriptors: Elementary Education, Literacy Education, Tutoring, Family Involvement
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A. Chang; E. Mauer; J. Wanzek; S. Kim; N. Scammacca; E. Swanson – Grantee Submission, 2025
Cross-age tutoring is an educational model where an older tutor is paired with a younger tutee, valued for its economic advantages and capacity to engage participants. This model leads to improvements in both academic performance and behavior, as evidenced by Shenderovich et al. ("International Journal of Educational Research, 76,"…
Descriptors: Tutors, Tutoring, Tutorial Programs, Cross Age Teaching
Prihar, Ethan; Patikorn, Thanaporn; Botelho, Anthony; Sales, Adam; Heffernan, Neil T. – Grantee Submission, 2021
As more educators integrate their curricula with online learning, it is easier to crowdsource content from them. Crowdsourced tutoring has been proven to reliably increase students' next problem correctness. In this work, we confirmed the findings of a previous study in this area, with stronger confidence margins than previously, and revealed that…
Descriptors: Electronic Publishing, Group Experience, Tutoring, Individualized Instruction
Benz, Sarah A.; Powell, Sarah R. – Grantee Submission, 2021
Some elementary students may exhibit challenging externalizing or internalizing behaviors in addition to difficulty with mathematics. In this study, we explored the behavioral patterns of 441 3rd-grade students with and without mathematics difficulty (MD). Compared to students without MD, students with MD demonstrated higher rates of externalizing…
Descriptors: Word Problems (Mathematics), Intervention, Mathematics Instruction, Learning Problems
Patikorn, Thanaporn; Heffernan, Neil T. – Grantee Submission, 2020
It has been shown in multiple studies that expert-created on-demand assistance, such as hint messages, improves student learning in online learning environments. However, there are also evident that certain types of assistance may be detrimental to student learning. In addition, creating and maintaining on-demand assistance are hard and…
Descriptors: Electronic Publishing, Group Experience, Tutoring, Electronic Learning
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Jordan, Pamela; Albacete, Patricia; Katz, Sandra – Grantee Submission, 2016
Prior research aimed at identifying linguistic features of tutoring that predict learning found interactions between student characteristics (e.g., incoming knowledge level, gender, and affect) and learning. This paper addresses the question: "What do these interactions suggest for developing adaptive natural-language tutoring systems?"…
Descriptors: Intelligent Tutoring Systems, Tutoring, Natural Language Processing, Student Characteristics
Zippert, Erica L.; Douglas, Ashli-Ann; Tian, Fang; Rittle-Johnson, Bethany – Grantee Submission, 2021
Preschoolers' repeating patterning knowledge is predictive of their concurrent and later math and numeracy knowledge, but strong experimental evidence is needed to determine if these relations are causal. The purpose of the current Study was to examine the causal effects of repeating patterning and numeracy tutoring on repeating patterning,…
Descriptors: Preschool Children, Mathematics Education, Numeracy, Mathematics Skills
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Katz, Sandra; Albacete, Patricia; Jordan, Pamela – Grantee Submission, 2014
Although research on human tutoring highlights the importance of a high degree of "interactivity" between the tutor and student, some instructional strategies that could be carried out interactively are implemented didactically in tutoring systems. This is especially true of summarization, a ubiquitous instructional strategy. We…
Descriptors: Tutoring, Documentation, Intelligent Tutoring Systems, Standards
Sterett H. Mercer; Joanna E. Cannon – Grantee Submission, 2022
We evaluated the validity of an automated approach to learning progress assessment (aLPA) for English written expression. Participants (n = 105) were students in Grades 2-12 who had parent-identified learning difficulties and received academic tutoring through a community-based organization. Participants completed narrative writing samples in the…
Descriptors: Elementary School Students, Secondary School Students, Learning Problems, Learning Disabilities
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Michael Madaio; Justine Cassell; Amy Ogan – Grantee Submission, 2017
During collaborative learning, computer-supported or otherwise, students balance task-oriented goals with the interpersonal goals of relationship-building; these goals may conflict, negatively impacting learning. In peer tutoring, for instance, tutors may avoid providing feedback to their partners to avoid the face-threat to their tutee. In this…
Descriptors: Peer Teaching, Tutoring, Tutors, Teaching Methods
Olney, Andrew M. – Grantee Submission, 2014
This chapter presents a critical analysis of the concept of scaffolding as it has evolved over time. The analysis differs from existing reviews (Stone, 1998a; van de Pol, Volman & Beishuizen, 2010) in at least two ways. First, rather than assuming that scaffolding is a metaphor that needs to be formalized with a normative framework, we closely…
Descriptors: Scaffolding (Teaching Technique), Intelligent Tutoring Systems, Tutoring, Expertise
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Jackson, G. Tanner; Boonthum-Denecke, Chutima; McNamara, Danielle S. – Grantee Submission, 2015
Intelligent Tutoring Systems (ITSs) are situated in a potential struggle between effective pedagogy and system enjoyment and engagement. iSTART, a reading strategy tutoring system in which students practice generating self-explanations and using reading strategies, employs two devices to engage the user. The first is natural language processing…
Descriptors: Natural Language Processing, Feedback (Response), Intelligent Tutoring Systems, Reading Strategies
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