Featured Research

from universities, journals, and other organizations

Computer Model Can Predict Human Behavior And Learning

Date:
November 10, 2008
Source:
Penn State
Summary:
A new computer model can predict how people will complete a controlled task and how the knowledge needed to complete that task develops over time.

A computer model that can predict how people will complete a controlled task and how the knowledge needed to complete that task develops over time is the product of a group of researchers, led by a professor from Penn State's College of Information Sciences and Technology.

Related Articles


Frank Ritter, associate professor of IST and psychology, and his research associates, used the Soar programming language, which is designed to represent human knowledge, on a 20-trial circuit troubleshooting task most recently done by 10 students at the University of Nottingham, UK.

Each participant was to identify faults in a circuit system after memorizing the organization of its components and switches. This process was repeated 20 times for each person, with the series of tests chosen randomly each time. Their choices and reaction times were recorded and compared with the computer model's results.

Much like the students, the computer model, called Diag, learned as it went through each test and developed the knowledge for completing the task quickly and efficiently.

"The model does not merely accurately predict problem-solving time for the human participants; it also replicates the strategy that human participants use, and it learns at the same rate at which the participants learn," Ritter said.

In most cases, the model came within two to four seconds of predicting how long it would take each participant to solve the problem and it fit eight out of the 10 participants' problem-solving times very well. Ritter said the results outlined in the paper were consistent with previous trials, showing the development of regularity in the model.

"The project shows we can predict human learning on a fine-grained level," Ritter said. "Everyone thinks that's possible, but here's an actual model doing it. The model provides a detailed representation of how a transfer works, and that transfer process is really what education is about."

Ritter worked with Peter Bibby and two research assistants at the University of Nottingham.


Story Source:

The above story is based on materials provided by Penn State. Note: Materials may be edited for content and length.


Journal Reference:

  1. Ritter et al. Modeling How, When, and What Is Learned in a Simple Fault-Finding Task. Cognitive Science A Multidisciplinary Journal, 2008; 32 (5): 862 DOI: 10.1080/03640210802221999

Cite This Page:

Penn State. "Computer Model Can Predict Human Behavior And Learning." ScienceDaily. ScienceDaily, 10 November 2008. <www.sciencedaily.com/releases/2008/11/081107143755.htm>.
Penn State. (2008, November 10). Computer Model Can Predict Human Behavior And Learning. ScienceDaily. Retrieved October 24, 2014 from www.sciencedaily.com/releases/2008/11/081107143755.htm
Penn State. "Computer Model Can Predict Human Behavior And Learning." ScienceDaily. www.sciencedaily.com/releases/2008/11/081107143755.htm (accessed October 24, 2014).

Share This



More Computers & Math News

Friday, October 24, 2014

Featured Research

from universities, journals, and other organizations


Featured Videos

from AP, Reuters, AFP, and other news services

Microsoft Riding High On Strong Surface, Cloud Performance

Microsoft Riding High On Strong Surface, Cloud Performance

Newsy (Oct. 24, 2014) — Microsoft's Q3 earnings showed its tablets and cloud services are really hitting their stride. Video provided by Newsy
Powered by NewsLook.com
The Best Apps to Organize Your Life

The Best Apps to Organize Your Life

Buzz60 (Oct. 23, 2014) — Need help organizing your bills, schedules and other things? Ko Im (@konakafe) has the best apps to help you stay on top of it all! Video provided by Buzz60
Powered by NewsLook.com
Nike And Apple Team Up To Create Wearable ... Something

Nike And Apple Team Up To Create Wearable ... Something

Newsy (Oct. 23, 2014) — For those looking for wearable tech that's significantly less nerdy than Google Glass, Nike CEO Mark Parker says don't worry, It's on the way. Video provided by Newsy
Powered by NewsLook.com
Chameleon Camouflage to Give Tanks Cloaking Capabilities

Chameleon Camouflage to Give Tanks Cloaking Capabilities

Reuters - Innovations Video Online (Oct. 22, 2014) — Inspired by the way a chameleon changes its colour to disguise itself; scientists in Poland want to replace traditional camouflage paint with thousands of electrochromic plates that will continuously change colour to blend with its surroundings. The first PL-01 concept tank prototype will be tested within a few years, with scientists predicting that a similar technology could even be woven into the fabric of a soldiers' clothing making them virtually invisible to the naked eye. Matthew Stock reports. Video provided by Reuters
Powered by NewsLook.com

Search ScienceDaily

Number of stories in archives: 140,361

Find with keyword(s):
 
Enter a keyword or phrase to search ScienceDaily for related topics and research stories.

Save/Print:
Share:  

Breaking News:

Strange & Offbeat Stories

 

Space & Time

Matter & Energy

Computers & Math

In Other News

... from NewsDaily.com

Science News

Health News

Environment News

Technology News



Save/Print:
Share:  

Free Subscriptions


Get the latest science news with ScienceDaily's free email newsletters, updated daily and weekly. Or view hourly updated newsfeeds in your RSS reader:

Get Social & Mobile


Keep up to date with the latest news from ScienceDaily via social networks and mobile apps:

Have Feedback?


Tell us what you think of ScienceDaily -- we welcome both positive and negative comments. Have any problems using the site? Questions?
Mobile iPhone Android Web
Follow Facebook Twitter Google+
Subscribe RSS Feeds Email Newsletters
Latest Headlines Health & Medicine Mind & Brain Space & Time Matter & Energy Computers & Math Plants & Animals Earth & Climate Fossils & Ruins