Effect of postsecondary education on the economic status of persons who are deaf or hard of hearing

This article examines the effect that postsecondary education has on earnings and the duration of time spent in the Social Security disability programs for young persons who are deaf or hard of hearing. Our hypothesis is that investments in postsecondary training increase the likelihood of employment for persons who are deaf or hard of hearing and thus reduce dependency on disability-related income support programs. A longitudinal data set based upon records from the National Technical Institute for the Deaf and Social Security administrative records is used for this analysis. We find that those who graduate, even those who graduate with vocational degrees, experience significant earnings benefits and reductions in the duration of time spent on federal disability programs when compared with those who do not graduate with a degree. This finding suggests that reductions in the duration of time spent on Social Security programs are not limited to those with the highest level of scholastic aptitude and that investments in post-secondary education can benefit a broad group of deaf and hard-of-hearing persons. In addition, the data show that individuals who attend college, but withdraw before graduation, fair no better economically than individuals who never attended college.     

Mode of communication, perceived level of understanding, and perceived quality of life in youth who are deaf or hard of hearing

Given the important role of parent-youth communication in adolescent well-being and quality of life, we sought to examine the relationship between specific communication variables and youth perceived quality of life in general and as a deaf or hard-of-hearing (DHH) individual. A convenience sample of 230 youth (mean age = 14.1, standard deviation = 2.2; 24% used sign only, 40% speech only, and 36% sign + speech) was surveyed on communication-related issues, generic and DHH-specific quality of life, and depression symptoms. Higher youth perception of their ability to understand parents' communication was significantly correlated with perceived quality of life as well as lower reported depressive symptoms and lower perceived stigma. Youth who use speech as their single mode of communication were more likely to report greater stigma associated with being DHH than youth who used both speech and sign. These findings demonstrate the importance of youths' perceptions of communication with their parents on generic and DHH-specific youth quality of life.     

Improving the Acquisition of Novel Vocabulary Through the Use of Imagery Interventions

The purpose of this study was to investigate the impact of imagery interventions on the vocabulary acquisition abilities of second grade students. A total of 15 students were randomly assigned to three different intervention conditions: Word Only, which involves the simple verbal presentation of a vocabulary word; Dual Coding, in which a picture was paired with the vocabulary word, and Image Creation, in which students were told to create a mental picture of the vocabulary word in their mind and draw it on paper. These students were taught a total of 21 vocabulary words: seven animal and habitat words, seven musical instrument terms, and seven science terms. A Latin square design was used, in which each group of students rotated through each of the interventions, being exposed to a different treatment condition for each category of words. Participants were measured on the number of words they were successfully able to acquire through the use of experimenter designed comprehension measures. While no statistical significance was shown between the interventions across the word categories, a significant difference was found between the Image Creation and Word Only interventions within the science terms category. Students also reported that the imagery interventions facilitated the ease with which they learned the words. The findings have implications for increasing the success of classroom instruction, specifically for presenting novel vocabulary words to early elementary learners using imagery methods.     

A tale of three campuses: Unearthing theories of residential life that shape the student learning experience

Frank Shushok Jr., T. Laine Scales, Rishi Sriram, and Vera Kidd share some initial thoughts about responses to their Campus Residential Experience Survey. Do you recognize your institution?     

Analysis of self-regulated learning processing using statistical models for count data

Researchers often use measures of the frequency of self-regulated learning (SRL; Zimmerman, American Educational Research Journal, 45(1), 166–183, 2000) processing as a predictor of learning gains. These frequency data, which are really counts of SRL processing events, are often non-normally distributed, and the accurate analysis of these data requires the use of specialized statistical models. In this study, we demonstrate how to implement and interpret count statistical models in path and latent profile analyses to investigate the role of SRL as a mediator of the relation between pretest and posttest conceptual understanding. Our findings from a sample of 170 college students using a computer to learn about the circulatory system show that SRL does mediate the aforementioned relation, and that count models are a more accurate representation of SRL processing data than standard analysis models based on ordinary least squares estimation. The results of our path analyses revealed which specific SRL processes were related to learning, above and beyond the effect of prior knowledge. Our latent profile analysis revealed two groups of participants, indicative of Brophy’s (2004) model of schematic and aschematic learners. We conclude with implications and future directions for basic and applied SRL research.     

Computers in Artificial Intelligence Education

Both the origin and development of artificial intelligence (AI) are connected with the origin and development of computers. Computers play a very important role in engineering education. AI influences such disciplines like CAD, CASE, CAE, and others. The specific experience concerning AI education at a technical university has been gathered in this paper. There is stressed need of good balance between theoretical background and individual training with computers as well as importance of personal experience in solving practical AI.