ASEE PEER - Joe Jien-Jou Lin

Joe Jien-Jou Lin

Paper listing

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https://peer.asee.org/authors/3348

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Artificial Intelligence Methods To Forecast Engineering Students' Retention Based On Cognitive And Non Cognitive Factors

Conference Session: Student Recruitment and Retention
Collection: 2008 Annual Conference & Exposition
Authors: P.K. Imbrie, Purdue University; Joe Jien-Jou Lin, Purdue University; Alexander Malyscheff, Purdue University

Comparison Of Four Methodologies For Modeling Student Retention In Engineering

Conference Session: Modeling Student Data
Collection: 2010 Annual Conference & Exposition
Authors: P.K. Imbrie, Purdue University; Joe Jien-Jou Lin, Purdue University; Kenneth Reid, Ohio Northern University

Model Of Students' Success: Important Factors Of Student Persistence In Engineering

Conference Session: Student Poster Session
Collection: 2010 Annual Conference & Exposition
Authors: Joe Jien-Jou Lin, Purdue University; P.K. Imbrie, Purdue University; Qu Jin, Purdue University

Use Of A Neural Network Model And Noncognitive Measures To Predict Student Matriculation In Engineering

Conference Session: Cognitive and Motivational Issues in Student Performance II
Collection: 2007 Annual Conference & Exposition
Authors: P.K. Imbrie, Purdue University; Joe Jien-Jou Lin; Tayo Oladunni, Purdue University, West Lafayette; Kenneth Reid