'Reading tutor' presentation slideshows

Course selection presentation 2012-2013

Course selection presentation 2012-2013. Course selection Overview. Introduction Graduation Requirements Clarification of Terms: Course levels, Compulsory and Prerequisite courses, Independent study, Challenge for Credit, and On-line courses. French Immersion Certificate Requirements

505 views • 37 slides

Kenneth Reeder, Jon Shapiro & Jane Wakefield The University of British Columbia

Effectiveness of speech recognition technology in promoting reading proficiency and attitudes for Canadian immigrant children. Kenneth Reeder, Jon Shapiro & Jane Wakefield The University of British Columbia. What is The Reading Tutor?.

489 views • 36 slides

Toward Exploiting EEG Input in a Reading Tutor

Toward Exploiting EEG Input in a Reading Tutor. Jack Mostow, Kai-min Chang, and Jessica Nelson Project LISTEN www.cs.cmu.edu/~listen Carnegie Mellon University.

401 views • 31 slides

Toward Exploiting EEG Input in a Reading Tutor

Toward Exploiting EEG Input in a Reading Tutor. Jack Mostow, Kai-min Chang, and Jessica Nelson Project LISTEN www.cs.cmu.edu/~listen Carnegie Mellon University.

320 views • 31 slides

Are all questions created equal?: Factors that influence cloze question difficulty.

Are all questions created equal?: Factors that influence cloze question difficulty. Brooke Soden Hensler Carnegie Mellon University (starting graduate school at Florida Center for Reading Research this Fall) Joseph E. Beck Carnegie Mellon University.

349 views • 28 slides

Introduction

337 views • 27 slides

Introduction

282 views • 27 slides

If I Have a Hammer: Computational Linguistics in a Reading Tutor that Listens

423 views • 25 slides

Questions and Answers

Q uestions and Answers. a bout. Questions and Answers. Lessons from generating, scoring, and analyzing questions in a Reading Tutor for children Jack Mostow Project LISTEN ( www.cs.cmu.edu /~ listen ) AAAI Symposium on Question Generation keynote, Nov. 5, 2011, Arlington, VA.

488 views • 25 slides

If I Have a Hammer: Computational Linguistics in a Reading Tutor that Listens

346 views • 25 slides

Read for LIFE

231 views • 22 slides

Welcome Parents

Welcome Parents. Jackie Naughton I graduated from Indiana University Bloomington. I student taught in 3 months in Brown County and 3 months in Ireland. I was a Reading Tutor at Peifer Elementary. This is my 5th year at Homan. My Philosophy on Reading. Skills Prospective

341 views • 21 slides

Some Useful Design Tactics for Mining ITS Data

Some Useful Design Tactics for Mining ITS Data. Jack Mostow Project LISTEN ( www.cs.cmu.edu/~listen ) Carnegie Mellon University Funding: National Science Foundation ITS 04 Workshop on Analyzing Student-Tutor Interaction Logs to Improve Educational Outcomes, Maceio, Brazil. Outline.

212 views • 20 slides

The SPACE project: Speech Algorithms for Clinical and Educational Applications

319 views • 18 slides

The SPACE project: Speech Algorithms for Clinical and Educational Applications

191 views • 18 slides

Experimenter-defined measures in a Reading Tutor that Listens

Experimenter-defined measures in a Reading Tutor that Listens. Jack Mostow Project LISTEN ( www.cs.cmu.edu/~listen ) Carnegie Mellon University Funding: National Science Foundation IERI PI Meeting, Sept. 9-10, 2004. Tutoring: Dr. Joseph Beck, mining tutorial data

151 views • 14 slides

Evaluating the Effect of Predicting Oral Reading Miscues

Evaluating the Effect of Predicting Oral Reading Miscues. Satanjeev Banerjee, Joseph Beck, Jack Mostow Project LISTEN (www.cs.cmu.edu/~listen) Carnegie Mellon University Funding: NSF IERI. Why Predict Miscues?. Reading Tutor helps children learn to read.

221 views • 11 slides

Mining Data from Randomized Within-Subject Experiments in an Automated Reading Tutor

Mining Data from Randomized Within-Subject Experiments in an Automated Reading Tutor Joseph E. Beck and Jack Mostow Project LISTEN ( www.cs.cmu.edu/~listen ), Carnegie Mellon University Funded by National Science Foundation and The Heinz Endowments.

85 views • 1 slides

Sigh, smell touch, see, tuh, uh smell

Explicit Comprehension Instruction in an Automated Reading Tutor that Listens: Year 1 Jack Mostow, Albert Corbett, Joseph Valeri, and Juliet Bey (Project LISTEN, Carnegie Mellon University); Nell K. Duke (Michigan State University); Christina Trotochaud (Grand Ledge Public Schools).

153 views • 1 slides