Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 0 |
Since 2006 (last 20 years) | 8 |
Descriptor
Source
Author
Kaufman, Roger | 2 |
Ackerson, Jack | 1 |
Brown, Mike | 1 |
Carr, Clay | 1 |
Chason, Pat | 1 |
Davani, Holly | 1 |
Druyor, Dale | 1 |
Duan, Minjing | 1 |
Findley, Ken | 1 |
Houk, Kathryn M. | 1 |
McManus, Paul | 1 |
More ▼ |
Publication Type
Journal Articles | 12 |
Reports - Descriptive | 8 |
Reports - Research | 3 |
Guides - Non-Classroom | 1 |
Reports - Evaluative | 1 |
Education Level
Higher Education | 3 |
Postsecondary Education | 1 |
Audience
Location
Massachusetts | 1 |
United States | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Kaufman, Roger – Educational Technology, 2015
Human competence is a vital element for any organization that expects to survive and then thrive. Developing individual performance ability is necessary but not sufficient because trained people alone will not make an organization successful. We must determine what people should deliver and why it should be delivered in order to add measurable…
Descriptors: Professional Development, Capacity Building, Job Performance, Training Methods
Waters, John K. – Campus Technology, 2013
The latest data alert: By 2020, the amount of data generated daily will reach 40 zettabytes, or roughly 5,247 gigabytes for every person on earth. That's one of the findings in a new report published by IT industry analysts at IDC. The study casts doubt on the ability to capture the value of all this data, especially since schools barely tapped…
Descriptors: Information Management, Data, Data Collection, Data Processing
Duan, Minjing – Performance Improvement Quarterly, 2011
By content-analyzing 22 published cases from a variety of professional and academic books and journals, this study examines the status quo of human performance technology (HPT) practitioners' application of five major data collection techniques in their everyday work: questionnaire, interview, focus group, observation, and document collection. The…
Descriptors: Data Collection, Methods, Performance Technology, Questionnaires
Welker, Josh – Computers in Libraries, 2012
Any librarian who has managed electronic resources has experienced the--for want of words--"joy" of gathering and analyzing usage statistics. Such statistics are important for evaluating the effectiveness of resources and for making important budgeting decisions. Unfortunately, the data are usually tedious to collect, inconsistently organized, of…
Descriptors: Library Services, Databases, Academic Libraries, Electronic Libraries
Houk, Kathryn M.; Thornhill, Kate – Journal of Web Librarianship, 2013
Tufts University Hirsh Health Sciences Library created a Facebook page and a corresponding managing committee in March 2010. Facebook Page Insights data collected from the library's Facebook page were statistically analyzed to investigate patterns of user engagement. The committee hoped to improve posting practices and increase user engagement…
Descriptors: Best Practices, Health Sciences, Web 2.0 Technologies, Web Sites
McManus, Paul; Rossett, Allison – Performance Improvement, 2006
Some call them Electronic Performance Support Systems (EPSSs). Others prefer Performance Support Tools (PSTs) or decision support tools. One might call EPSSs or PSTs job aids on steroids, technological tools that provide critical information or advice needed to move forward at a particular moment in time. Characteristic advantages of an EPSS or a…
Descriptors: Program Effectiveness, Performance Technology, Technological Advancement, Data Collection

Watkins, Ryan; Kaufman, Roger – Performance Improvement, 2002
Considers how results of systematic data collection can be used in decision making and how they are often not used properly. Examines two similar yet distinctive perspectives by which the performance technologist can assist organizational leaders in making difficult decisions based on valid and useful data. (Author/LRW)
Descriptors: Data Collection, Decision Making, Performance Technology
Winiecki, Donald J. – Performance Improvement Quarterly, 2008
Within the fields of human performance technology (HPT), human resources management (HRM), and management in general, performance measurement is not only foundational but considered necessary at all phases in the process of HPT. In HPT in particular, there is substantial advice literature on what measurement is, why it is essential, and (at a…
Descriptors: Ethnography, Measurement Techniques, Performance Technology, Human Resources
Brown, Mike – Technology & Learning, 2006
Today, collecting, evaluating, and analyzing data--the basic concepts of scientific study--usually involves electronic probeware. Probeware combines sensors that collect data with software that analyzes it once it has been sent to a computer or calculator. Science inquiry has benefited greatly from the use of electronic probeware, providing…
Descriptors: Data Collection, Information Retrieval, Data Processing, Program Descriptions
Riley, Thomas; Davani, Holly; Chason, Pat; Findley, Ken; Druyor, Dale – Educational Technology, 2003
Discusses level 3 evaluation from Donald Kirkpatrick's Four Level Evaluation Model (level: 1-reaction; 2-learning; 3-behavior; 4-results) to measure training program performance. Highlights include an evaluation planning matrix; increasing evaluation data accuracy and reliability; data collection method selection; designing data collection…
Descriptors: Data Collection, Evaluation Methods, Interviews, Matrices
Carr, Clay; Totzke, Larry – Performance and Instruction, 1995
Discusses two tools necessary for the successful practice of human performance technology: gathering data and interpreting data. The focus is on what data to gather, how to gather it, and how to interpret the data. (Author/JKP)
Descriptors: Data Analysis, Data Collection, Data Interpretation, Human Factors Engineering

Ackerson, Jack – Journal of Interactive Instruction Development, 1995
Discusses how to conduct a top-level analysis of training management functions to identify problems within a training system resulting from rapid growth, the acquisition of new departments, or mergers. The data gathering process and analyses are explained, training management functions and activities are described, and root causes and solutions…
Descriptors: Administration, Data Collection, Evaluation Methods, Industrial Training