'Item pool' presentation slideshows

Large Scale Machine Learning for Content Recommendation and Computational Advertising

Large Scale Machine Learning for Content Recommendation and Computational Advertising. Deepak Agarwal, Director, Machine Learning and Relevance Science, LinkedIn, USA CSOI, Big Data Workshop, Waikiki, March 19 th 2013. Disclaimer.

1.21k views • 108 slides

Anita L. Stewart Institute for Health & Aging University of California, San Francisco

Class 3 Methods of Developing New Measures and How to Select Measures for Your Study October 8, 2009. Anita L. Stewart Institute for Health & Aging University of California, San Francisco. Overview of Class 3. Overview: sequence of developing new measures Rationale for multi-item measures

975 views • 88 slides

Oregon Content Standards and Assessment System Evaluation

Oregon Content Standards and Assessment System Evaluation. Prepared for the Oregon Department of Education by WestEd Dr. Stanley Rabinowitz Dr. Edynn Sato May 18, 2007. One of several key projects funded by the Gates Foundation

581 views • 47 slides

Submitted by the experts from Republic of Korea Seoul National University Professor Jaehong Park

ELSA-2-5. Proposal for Rulemaking Process of Electrical Safety Regulation for Fuel Cell Vehicle High Voltage Systems. Submitted by the experts from Republic of Korea Seoul National University Professor Jaehong Park blue@snu.ac.kr May 2008. Contents. Introduction

532 views • 40 slides

Submitted by the experts from Republic of Korea Seoul National University Professor Jaehong Park

ELSA-2-5. Proposal for Rulemaking Process of Electrical Safety Regulation for Fuel Cell Vehicle High Voltage Systems. Submitted by the experts from Republic of Korea Seoul National University Professor Jaehong Park blue@snu.ac.kr May 2008. Contents. Introduction

405 views • 40 slides

Trainee evaluation method

Trainee evaluation method. Ass. Prof. Dr. Abdul Sattar KHAN. MBBS, MPH, MCPS, MRCGP (UK), FRIPH (UK), FHAE (UK). Family & Community Medicine Department College of Medicine King Faisal University. Objectives. At the end of the session, participants are expected to know:

390 views • 29 slides

Technical Considerations in Alignment for Computerized Adaptive Testing

Technical Considerations in Alignment for Computerized Adaptive Testing. Liru Zhang, Delaware DOE Shudong Wang, NWEA 2014 CCSSO NCSA New Orleans, LA June 25-27, 2014. Background of Alignment.

386 views • 24 slides

Multiple Perspectives on CAT for K-12 Assessments: Possibilities and Realities

Multiple Perspectives on CAT for K-12 Assessments: Possibilities and Realities. Alan Nicewander Pacific Metrics. The following are some putative advantages of CAT relative to paper-based tests, and so-called linear tests delivered by computer. Some of these are listed below with comments:

349 views • 21 slides

Ron D. Hays, Ph.D. UCLA Department of Medicine February 11, 2010, ~12:15-1:15pm

Introduction to the Patient-Reported Outcomes Measurement Information System (PROMIS) UCLA Center for East-West Medicine 2428 Santa Monica Blvd., Suite 208. Ron D. Hays, Ph.D. UCLA Department of Medicine February 11, 2010, ~12:15-1:15pm http://twitter.com/RonDHays

291 views • 19 slides

Ron D. Hays, Ph.D. UCLA Department of Medicine February 11, 2010, ~12:15-1:15pm

Introduction to the Patient-Reported Outcomes Measurement Information System (PROMIS) UCLA Center for East-West Medicine 2428 Santa Monica Blvd., Suite 208. Ron D. Hays, Ph.D. UCLA Department of Medicine February 11, 2010, ~12:15-1:15pm http://twitter.com/RonDHays

195 views • 19 slides

CTB CADDS Sally Valenzuela Director, Publishing Strategic Initiatives CTB/McGraw-Hill

CTB CADDS Sally Valenzuela Director, Publishing Strategic Initiatives CTB/McGraw-Hill. Abstract. Evidence-based item development approaches require item authors to make explicit how items provide validity evidence to support claims.

281 views • 16 slides

Developed and Narrated by

235 views • 14 slides

Data Collection Strategies An Overview

Data Collection Strategies An Overview. How Do We Assess ?. Data Collection Strategies. BEFORE collecting data, your first question should be. Has someone already collected the information from my sample of interest?. Personal interview Focus group Telephone poll Telephone interview

234 views • 11 slides

Data Collection Strategies An Overview

Data Collection Strategies An Overview. How Do We Assess ?. Data Collection Strategies. BEFORE collecting data, your first question should be. Has someone already collected the information from my sample of interest?. Personal interview Focus group Telephone poll Telephone interview

258 views • 11 slides

SPOT

SPOT. Concerns, Data, Next Steps. Student Perceptions of Teaching. New Administration Software from Scantron New Academic Senate Policy New Items/Survey Form (ACE, Iowa Item Pool) New formative evaluation questions for open-ended responses New Scale (1 to 6 previous 1 to 5)

277 views • 10 slides