scholarly journals Facilitating forensic examinations of multi-user computer environments through session-to-session analysis of Internet history

2016 ◽  
Vol 16 ◽  
pp. S124-S133 ◽  
Author(s):  
David W. Gresty ◽  
Diane Gan ◽  
George Loukas ◽  
Constantinos Ierotheou
Keyword(s):  
Session Analysis ◽  
Internet History ◽  
Computer Environments

Productivity of Emerging Word Combinations in Toddlers With Specific Expressive Language Impairment

1997 ◽  
Vol 6 (4) ◽  
pp. 34-47 ◽  
Author(s):  
Steven H. Long ◽  
Lesley B. Olswang ◽  
Julianne Brian ◽  
Philip S. Dale
Keyword(s):  
Data Collection ◽  
Young Children ◽  
Language Impairment ◽  
Treatment Approach ◽  
Expressive Language ◽  
Semantic Consistency ◽  
Session Analysis

This study investigated whether young children with specific expressive language impairment (SELI) learn to combine words according to general positional rules or specific, grammatic relation rules. The language of 20 children with SELI (4 females, 16 males, mean age of 33 months, mean MLU of 1.34) was sampled weekly for 9 weeks. Sixteen of these children also received treatment for two-word combinations (agent+action or possessor+possession). Two different metrics were used to determine the productivity of combinatorial utterances. One metric assessed productivity based on positional consistency alone; another assessed productivity based on positional and semantic consistency. Data were analyzed session-by-session as well as cumulatively. The results suggest that these children learned to combine words according to grammatic relation rules. Results of the session-by-session analysis were less informative than those of the cumulative analysis. For children with SELI ready to make the transition to multiword utterances, these findings support a cumulative method of data collection and a treatment approach that targets specific grammatic relation rules rather than general word combinations.

Effects of Computer and Noncomputer Environments on Students' Conceptualizations of Geometric Motions

1994 ◽  
Vol 11 (2) ◽  
pp. 121-140 ◽  
Author(s):  
Kay Johnson-Gentile ◽  
Douglas H. Clements ◽  
Michael T. Battista
Keyword(s):  
Control Group ◽  
Treatment Groups ◽  
Geometric Thinking ◽  
Paper And Pencil ◽  
Computer Environments

This study investigated the effects of computer and noncomputer environments on learning of geometric motions. Two treatment groups, one of which used specially designed Logo computer environments, and one of which used manipulatives and paper and pencil, received eight lessons on geometric motions. Interviews revealed that both treatment groups, especially the Logo group, performed at a higher level of geometric thinking than did a control group. Both treatment groups outperformed the control group on immediate and delayed posttests; though the two treatment groups did not significantly differ on the immediate posttest, the Logo group outperformed the nonLogo group on the delayed posttest. Thus, there was support for the effectiveness of the curriculum and for the notion that the Logo-based version enhanced the construction of higher-level conceptualizations of motion geometry.

A New Algorithmic Identity

2011 ◽  
Vol 28 (6) ◽  
pp. 164-181 ◽  
Author(s):  
John Cheney-Lippold
Keyword(s):  
Theoretical Work ◽  
Computer Code ◽  
Online Marketing ◽  
Computer Algorithms ◽  
Surveillance Networks ◽  
Internet History ◽  
Web Surfing

Marketing and web analytic companies have implemented sophisticated algorithms to observe, analyze, and identify users through large surveillance networks online. These computer algorithms have the capacity to infer categories of identity upon users based largely on their web-surfing habits. In this article I will first discuss the conceptual and theoretical work around code, outlining its use in an analysis of online categorization practices. The article will then approach the function of code at the level of the category, arguing that an analysis of coded computer algorithms enables a supplement to Foucauldian thinking around biopolitics and biopower, of what I call soft biopower and soft biopolitics. These new conceptual devices allow us to better understand the workings of biopower at the level of the category, of using computer code, statistics and surveillance to construct categories within populations according to users’ surveilled internet history. Finally, the article will think through the nuanced ways that algorithmic inference works as a mode of control, of processes of identification that structure and regulate our lives online within the context of online marketing and algorithmic categorization.

Computer Vision Syndrome among Internet Users

2012 ◽  
pp. 782-798
Author(s):  
Liang Hu ◽  
Fan Lu
Keyword(s):  
Computer Vision ◽  
Current Knowledge ◽  
Treatment Strategies ◽  
Computer Users ◽  
Computer User ◽  
Contributing Factors ◽  
Internet Users ◽  
Computer Vision Syndrome ◽  
Computer Environments

The chapter is intended to introduce Computer Vision Syndrome (CVS), a widely spreading but largely unknown epidemic among professional and ordinary computer users, especially internet users. Dr. Sheedy and Dr. Anshel are two leading researchers in the ergonomics and optometry fields, and CVS has been extensively studied in these fields. The authors have summarized their views about CVS, including five major symptoms of CVS, three key contributing factors of CVS, and basic preventive and treatment strategies. Future researches are needed to continue the advancement of current knowledge regarding computer screens, computer task, and computer environments, and to expand research in diverse computer user populations, especially younger computer users.

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