Contemporary Perspectives in Data Mining, Volume 3

Xing,Wanli; Zhao,Henglv

Topics

AdministrationViolenceSupervisionLeadership

Adult EducationCorp. Training and Continuing Ed.LiteracyTransformative Learning

Assessment & EvaluationProgram EvaluationAlternative AssessmentGradingStandardized Testing

Social ContextHistory of SchoolingPhilosophyUrban EducationEconomics and School-to-workRural EducationSociology of EducationWar and EducationPost-Industrial Education

CounselingSecondary SchoolsCollege Advising

CurriculumControlArtsSocial StudiesHealth and NutritionLanguage ArtsMathematicsPeace StudiesScience

DiversityRace and EthnicityAt-Risk StudentsSpecial NeedsGender and Sexuality

Early Childhood EducationPre-School and Child CareEarly Childhood Development

Higher EducationAdmissions and TuitionFacultyPolicyStudent and Community Life

International EducationComparative EducationEducational Development

LearningCognitionParental InfluenceEducational Psychology

PolicyReformCharters & VouchersHigh-Stakes TestingStandardsAthletes and AcademicsDropoutsIndependent SchoolsPhilanthropyPoliticsReligionTracking

Research MethodsQualitative MethodsSurvey ResearchExperimental ResearchLibrariesWriting for Publication

Teacher EducationProfessional DevelopmentSchools of EducationStudent Teaching

TeachingTeaching ProfessionSupply and DemandWorking Conditions

TechnologyTechnology in the ClassroomDistance LearningTechnology EducationPublishing and CommunicationOnline Publishing

IntersectionsPolicy and Teaching Practice

Discussion
My Experience Technology - Good for Students AND Teachers Fiddling with Indicators while using Toxic Tests Ode to Dewey Clearly Articulated Proposal--Thank You!
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Contemporary Perspectives in Data Mining, Volume 3

reviewed by Wanli Xing & Henglv Zhao - October 19, 2018

Title: Contemporary Perspectives in Data Mining, Volume 3
Author(s): Kenneth D. Lawrence & Ronald K. Klimberg (Eds.)
Publisher: Information Age Publishing, Charlotte
ISBN: 1641130547, Pages: 168, Year: 2017
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Cite This Article as: Teachers College Record, Date Published: October 19, 2018
https://www.tcrecord.org ID Number: 22538, Date Accessed: 9/26/2021 11:37:14 PM

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About the Author
Wanli Xing Texas Tech University E-mail Author WANLI XING is an assistant professor in instructional technology at Texas Tech University with a background in learning sciences, statistics, computer science, and mathematical modeling. His research interests include educational data mining, learning analytics, and CSCL. Henglv Zhao Texas Tech University E-mail Author HENGLV ZHAO is a PhD candidate in the college of education at Texas Tech University with a research concentration in educational data mining.

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