Vincent Aleven
Associated IES Content
Grant
Enhancing Student Learning with an Orchestration Tool for Personalized Teacher-Student Interactions in Classrooms Using Intelligent Tutoring Software Education Technology
In this project, researchers will develop and test a tool that offers new ways for middle school teachers to use results from student work in intelligent tutors to facilitate instruction and learning. Data-driven analytics offer potential for providing insight into how students learn in technology-enhanced learning environments. However, less is known about optimizing the design of user interfaces to present analytics to teachers to improve instruction and enhance and personalize student lea...
Federal funding program:
Award number:
R305A180301
Grant
Effects of Mixed-Reality, Real-Time Analytics Teacher Tools on Teachers and Student Learning
In this project, the researchers will develop and pilot test a classroom orchestration tool running on mixed-reality smart glasses to provide real-time awareness and decision support to middle school mathematics teachers. The new tool, Lumilo 2, will operate with and build upon the researchers' prior IES-funded work developing intelligent tutoring software (ITS) to provide personalized and adaptive guidance to students as they engage in complex problem-solving practice (R305A180301, R305A210...
Federal funding program:
Award number:
R305A240281
FY2023
FY2023 Single-Session Peer Review Panel
Grant
Data Science for Education (DS4EDU)
Because of increased capabilities for collecting and analyzing education data, the field has new opportunities for research-based, data-driven improvements in education activities. However, education practitioners have not been fully able to leverage these developments and data to inform large scale improvements in the field. In this program, trainers will prepare education practitioners to use established and emerging data science methods with an emphasis on statistical thinking and computa...
Federal funding program:
Award number:
R305B230008
Grant
Optimizing AI-Based Tutoring Software for Middle-School Mathematics on Smartphones
In this project, researchers will conduct design-based research with students, parents, and teachers to develop a mobile data-optimized tutoring system to promote deliberate math practice for middle-school students, combined with a new system for parent-student motivational nudges to encourage parents to support their children in doing homework. The research team will optimize units from the Mathtutor platform-a comprehensive web-based tutoring system for middle-school mathematics-and specif...
Federal funding program:
Award number:
R305A220386
Grant
Use of Machine Learning to Adaptively Select Activity Types and Enhance Student Learning with an Intelligent Tutoring System
When preparing instructional materials and lesson plans, teachers and instructional designers choose from an almost overwhelming set of student activity types. A fundamental problem in education is determining what combinations and sequences of activity types are most effective in supporting student learning. This research team hypothesizes that significant gains in robust learning are possible by careful selecting among a diverse set of activity types. To address this issue, the researchers...
Federal funding program:
Award number:
R305A130215
Grant
Combining Advantages of Collaborative and Individual Learning with an Intelligent Tutoring System for Fractions
Classroom instruction often involves both individual and collaborative modes of learning. Yet relatively little is known about the ways in which these learning modes complement each other, or how best to combine them. In this project, the research team will combine features of both individual and collaborative learning interventions that each on their own have evidence of efficacy into a revised version of a current web-based intelligent tutoring system. Previous research has found that inte...
Federal funding program:
Award number:
R305A120734
Grant
Post-doctoral Training Program in Interdisciplinary Education Research
The postdoctoral program trained four scientists to do rigorous research on learning conditions related to curriculum, instruction, and assessment for diverse K–12 student populations.
Federal funding program:
Award number:
R305B110003
Grant
Bringing Cognitive Tutors to the Internet: A Website that Helps Middle-School Students Learn Math
Students in American schools consistently perform lower in mathematics than their counterparts in many other countries. One possible way to improve math achievement is to augment in-school mathematics learning with after-school activities. However, after-school tutoring is limited and, of the many websites available for math instruction, few are free and few offer guided learning by doing. The researchers propose to develop a website for middle-school mathematics (grades 6-8) where students ...
Federal funding program:
Award number:
R305A080093
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