Jul 08 2008Min Chi Wins ITS Best Student Paper
Congratulations to Min Chi!
At the Intelligent Tutoring Systems conference, she won the Best Student Paper award for her paper "Eliminating the Gap between the High and Low Students through Meta-Cognitive Strategy Instruction"
Jul 07 2008Ben Shih Wins EDM'08 Best Paper
Congratulations to Ben Shih on winning best paper at EDM '08.
Shih, B., Koedinger, K., and Scheines, R. A Response Time Model for Bottom-Out Hints as Worked Examples. Pages 117-126.
See the paper here: http://www.educationaldatamining.org/EDM2008/uploads/proc/12_Shih_35.pdf
Jul 07 2008Min Chi Wins EDM '08 Best Poster
Congratulations to Min Chi on winning best poster at EDM'08.
Chi, M., Jordan, P., VanLehn, K., and Hall, M. Reinforcement Learningbased Feature Selection For Developing Pedagogically Effective Tutorial Dialogue Tactics. Pages 258-265.
C
lick to see the full paper.
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May 12 2008PSLC papers at EDM2008
This year's conference has
8 full papers and 4 posters/young researchers' track papers.
Accepted as full paper:
Ryan Baker, Albert Corbett and Vincent Aleven. Improving Contextual
Models of Guessing and Slipping with a Truncated Training Set.
Ryan Baker, Adriana de Carvalho. Labeling Student Behavior Faster and
More Precisely with Text Replays.
Mingyu Feng, Joseph Beck, Neil Heffernan and Ken Koedinger. Can an
Intelligent Tutoring System Predict Math Proficiency as Well as a
Standardized Test?
Ken Koedinger, Kyle Cunningham, Alida Skogsholm and Brett Leber. An
open repository and analysis tools for fine-grained, longitudinal
learner data.
Collin Lynch, Kevin Ashley, Niels Pinkwart and Vincent Aleven.
Argument graph classification with Genetic Programming and C4.5.
Jack Mostow, Xiaonan Zhang. Analytic Comparison of Three Methods to
Evaluate Tutorial Behaviors.
Philip Pavlik, Hao Cen, Lili Wu and Ken Koedinger. Using Item-type
Performance Covariance to Improve the Skill Model of an Existing
Tutor.
Benjamin Shih, Kenneth Koedinger and Richard Scheines. A Response
Time Model for Bottom-Out Hints as Worked Examples.
Accepted as poster/young researchers' track:
Elizabeth Ayers, Rebecca Nugent and Nema Dean. Skill Set Profile
Clustering Based on Weighted Student Responses.
Mingyu Feng, Neil Heffernan, Joseph Beck and Ken Koedinger. Can we
predict which groups of questions students will learn from?
Min Chi, Pamela Jordan, Kurt VanLehn and Moses Hall. Reinforcement
Learning-based Feature Selection For Developing Pedagogically
Effective Tutorial Dialogue Tactics.
Xiaonan Zhang, Jack Mostow, Nell Duke, Christina Trotochaud, Joseph
Valeri and Albert Corbett. Mining Free-form Spoken Responses to Tutor
Prompts.
Apr 25 2008Open position: Flash research programmer
From the posting:
We are looking for a research programmer to help our lab in the development of web-based tutoring software. The candidate's duties will include the development of computer-based tutors, using the Cognitive Tutor Authoring Tools (CTAT), a software package for authoring intelligent tutors that has been developed within our lab, maintaining and extending the Flash-based tools within CTAT, and helping to create, maintain, and extend a website with CTAT-built tutors for middle-school math.
Read the full description.
(If the link does not work, go to http://hr.web.cmu.edu/prospective/, click on "Search Staff Job Listing", and search job number 4608.)
Feb 15 2008PSLC Summer School Registration is Open
The PSLC Summer School is an intensive 1-week course on technology-enhanced learning experiments and building intelligent tutoring systems. The summer school will provide a conceptual background and considerable hands-on experience in developing, running and analyzing technology-enhanced learning experiments. This year's summer school will be held July 7-11, 2008.
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Feb 05 2008Internship Opportunities with HumRRO
HumRRO's internship is available to graduate students currently enrolled in full time masters or Ph.D. accredited programs. The traditional summer internship at HumRRO is for 3 months; however, a 6-12 month internship will be considered. Our internship is a paid, full time opportunity. Regardless of duration, internship duties and responsibilities are the same; however, variations are possible depending upon the technical content and timeline of the particular projects in need of staffing. An intern will serve as a research assistant/associate on one or more projects. Typical tasks include literature review, synthesis, and analysis; data collection, entry, and analysis; survey and other instrument development and administration; and documentation of findings. HumRRO is looking for a responsible, motivated team player with strong technical and communication skills to assist in our contract research activities. HumRRO project directors will provide technical supervision and mentoring to help make the most of the intern's exposure to and experience with our applied research setting.
›› Selection
Selection is competitive and will be based on review of application materials and reference assessment for evidence of research promise, academic achievement, and writing ability. Finalists will be interviewed telephonically.
›› Application Process
Applications for HumRRO's internship are due on or before March 1. Each applicant must provide HumRRO with the following: 1) a resume and cover letter; 2) a one-page personal statement of career goals and internship interests; 3) official transcript(s) of graduate work; and 4) contact information for two references (i.e. the name, address, phone number, and email address; recommendation letters are not needed). The traditional internship at HumRRO is for three months. Candidates who desire a longer opportunity must submit with their application a justification for the additional time.
Interested candidates should submit their application to:
Jessica Terner
66 Canal Center Plaza, Suite 400
Alexandria, VA 22314
›› Correspondence and Information
If you have questions or would like additional information regarding the HumRRO internship, please contact:
Jessica Terner
(703) 706-5687
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Jan 31 2008First Annual iSLC Student/Postdoc Conference
The First Annual iSLC Student/Postdoc Conference will be a meeting of junior researchers from the NSF-funded Science of Learning Centers (SLCs). During this threeday conference, participants will spend time discussing their common interests for understanding and improving how people learn in a variety of settings and will share and learn about useful methods for conducting research to achieve these goals. The goals of the meeting are to initiate and foster research collaborations between SLCs and to build a network of young researchers who will be the future of the field of learning sciences. These outcomes are to be achieved in a setting in which all of the researchers are brought together to communicate and share their ideas. The scientific importance of the meeting will be in the productive collaborations that are formed. Bringing together young researchers from different geographic areas, disciplines, and domains of expertise will foster an understanding of how learning science problems can be studied from different angles, and create new, integrative ways of attacking those problems in hopes of reaching a sound solution. The solutions produced by these collaborations will simultaneously have a broader impact on the academic field of learning sciences as well as the potential to inform educators, museum curators, parents, or anyone else who makes it their goal to foster learning of children, adolescents or adults.
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Jan 15 2008Post-doctoral Research Position: Conceptual Learning in Physics
Post-doctoral Research Position: Conceptual Learning in Physics
Applications are invited for a two-year research position for a post-doc with an interest in learning and problem solving. We are looking for a cognitive psychologist/scientist or a science education researcher with a strong background in cognition, to join us (Brian Ross, Jose Mestre, and Tim Nokes) to examine the learning of complex concepts in a problem-solving domain. Some knowledge of physics is useful but not required. The post-doc will be involved in helping design, conduct, analyze, and write up the research at the Beckman Institute, University of Illinois.
Submit vita, statement of research interests, and three letters of reference to Brian Ross (bhross@uiuc.edu) by March 1. If you have questions, please contact Brian Ross or Jose Mestre (mestre@uiuc.edu).
