Tag Archives: Intelligent tutors and tools

EXP: Development of Human Language Technologies to Improve Disciplinary Writing and Learning through Self-Regulated Revising

8/01/2017-7/31/2020 PIs: Rebecca Hwa, Diane Litman, Amanda Godley University of Pittsburgh Award Details Writing and revising are essential parts of learning, yet many college students graduate without demonstrating improvement or mastery of academic writing. This project explores the feasibility of improving students’ academic writing through a revision environment that integrates natural language processing methods, best […]

EXP: Collaborative Research: Empowering Learners to Conduct Experiments

9/01/2017-8/31/2019 PI: Casper Harteveld, Gillian Smith Northeastern University Award Details This project seeks to transform current practices in the teaching of scientific research methods by shifting the fundamental dynamics and focusing in a scientific domain that is relatable to a broad audience: designing and conducting social and behavioral science experiments. Scientific inquiry is key to […]

Convergence HTF: Collaborative: Workshop on Convergence Research about Multimodal Human Learning Data during Human Machine Interactions

9/01/2017-8/31/2018 PI: Gautam Biswas Vanderbilt University Award Details Intelligent, interactive, and highly networked machines — with which people increasingly share their autonomy and agency — are a growing part of the landscape, particularly in regard to work. As automation today moves from the factory floor to knowledge and service occupations, insight and action are needed […]

EXP: Automatically Synthesizing Valid, Personalized, Formative Assessments of CS1 Concepts

9/01/2017-08/31/2020 PI: Andrew Ko University of Washington Award Details Millions of people worldwide are trying to learn to code in schools, colleges, universities, and online. To do so successfully, they need significant practice and meaningful feedback that responds to their specific confusions and builds upon the knowledge they already have. Unfortunately, good practice content is […]

CAREER: Improving Adaptive Decision Making in Interactive Learning Environments

3/1/17-2/28/22 PIs: Min Chi North Carolina State University Award Details Interactive Learning Environments (ILEs) hold great promise for improving student performance in STEM education. While, traditionally, such systems have focused on teaching students subject matter, an equally important facet is to teach them how become better learners. The objective of this project is to develop […]

EXP: Assessing ‘Complex Epistemic Performance’ in Online Learning Environments

9/1/16-8/31/18 PIs: William Cope, ChengXiang Zhai, Duncan Ferguson, Willem Els University of Illinois at Urbana-Champaign Award Details This project will develop online software tools to assess and offer feedback to learners communicating complex scientific or technical information. “Complex epistemic performance” here refers to knowledge representations in reports or case studies which involve not only facts […]

EXP: Inq-Blotter – A Real Time Alerting Tool to Transform Teachers’ Assessment of Science Inquiry Practices

9/1/16-8/31/18 PIs: Janice Gobert, Michael Sao Pedro Rutgers University Award Details This EXP project addresses the need for real-time diagnostic tools for teachers that can assess students’ needs, i.e. provide formative assessment, in order to improve science instruction. The project will extend, pilot, implement, and study Inq-Blotter, a scalable, web-based alerting system that enables teachers’ […]

DIP: Graphical Model Construction by System Decomposition: Increasing the Utility of Algebra Story Problem Solving

9/1/16-8/31/19 PIs: Kurt VanLehn, Jon Wetzel, Fabio Augusto Milner Arizona State University Award Details This project studies a new genre of learning technology that may remove a notorious bottleneck in STEM education: mathematical model construction. These days, computers can solve complex mathematical problems, but humans must still define the problem for the computer, which is […]

EXP: Exploratory Study on the Adaptive Online Course and its Implication on Synergetic Competency

9/1/16-8/31/18 PIs: Noboru Matsuda, Norman Bier, Larry Johnson Texas A&M University Award Details Most online courseware helps teach facts and concepts, while a different type of online learning software called intelligent tutoring systems can effectively teach skills in a way that is tailored to each learner. Unfortunately, these two tools are rarely integrated because of […]

EXP: Modeling Perceptual Fluency with Visual Representations in an Intelligent Tutoring System for Undergraduate Chemistry

9/1/16-8/31/19 PIs: Martina Rau, Xiaojin Zhu, Robert Nowak University of Wisconsin-Madison Award Details Instructors often use visuals to help students learn (e.g., pie charts of fractions, or ball-and-stick models of chemical molecules) and assume that students can quickly discern relevant information (e.g., whether or not two visuals show the same chemical) once that visual representation […]