Early Findings of the
A Report of the
December 2003
Prepared By
Dr. Mary Gatta
Director of Research and Analysis
In 2002, the U.S. Department of Labor, Women’s Bureau, and the U.S. Department of Labor, Employment and Training Administration, awarded the New Jersey Department of Labor a grant of $500,000 to pilot a project to determine whether online learning, which had proved effective in increasing the skills of college-educated workers, could prove equally effective in improving the skills and earnings of low-wage workers. Slightly more than 100 working single mothers, all of whom earned less than 250 percent of the poverty level, were accepted into the pilot program and received computers, Internet access and online courses to improve their skills. The main findings are summarized in the conclusion of the report.
While the
demonstration project does not officially end until
The Skills Training Crisis for
Two-Fifths of American Workers
Imagine you are a high school educated single mother with two children under the age of ten. You are working two jobs- 3 days you are a part-time bookkeeper at your local church, and your weekends are spent waitressing at the diner by your apartment. You earn about $15,000 a year, and are literally living paycheck to paycheck. A few slow shifts at the diner in a week and you are unable to pay all your bills this month. You know you need skills training in order to get a higher paying job, but you do not know when you will fit classes into your day or how you will pay for them. Yet time binds and financial cost are only some of the barriers that you face in trying to attain workplace skills. Locating affordable and “off hours” childcare (such as on nights and weekends when many classes are offered) often proves to be a daunting and expensive task. In addition, you may be among the one-third of families earning $15,000 or less who do not own a car, making the act of just getting to class a challenge. What are you to do?
This woman’s experience is
played out day after day throughout the
Much evidence has
demonstrated that a major factor in explaining these low incomes is low skill
attainment. A large number of workers
simply do not possess the high level skills demanded of the current workforce,
and without access to skills training opportunities will continue to be left
behind. Labor market trends indicate
that there will be significant growth in jobs that require competent or
advanced skills, while much slower growth in jobs that require basic or minimal
skills throughout the early part of the 21st Century.[1] Further these high level skill demands are
required in all industries, including industries that are not typically
associated with high level skill demands.
For example, 59.4 percent of sales related jobs in the service sector
require skills beyond those of a high school graduate.[2] Partly as a result of these changing skill
demands[3]
across industries, high school educated workers have seen their incomes drop 27
percent over the past three decades[4]. Indeed, high school educated and below workers
are a very large fraction of our workforce. In 2002, 40 percent of all workers
– 42 percent of employed men and 38 percent of employed women – had a high school
degree or less. In absolute numbers this
equates to 46 million workers (26 million men and 20 million women)[5]
who are experiencing decreased labor market returns to their skills.
While the American working
poor earn less and have fewer years of education than workers at higher rungs
in society, there is much agreement that any movement up the socio-economic
ladder is dependent on education and training.
In fact, in order to achieve economic success in the 21st
Century, it is clear that one must broadly define education and training to
include not just completing a high school diploma or a community college
degree, but also mastering additional training and certifications in technical
areas, information technology and/or soft skills.
However, while few doubt that education and skills training have positive effects on labor market rewards and economic self sufficiency, the real challenge for low wage workers is attaining that education and training. The working poor face a set of barriers that makes the traditional ways of delivering skills training difficult, if not impossible. Foremost, childcare needs place a burden on many individuals in this population that often prevents them from attending traditional education programs. Locating affordable childcare and “off hours” childcare (such as on nights and weekends when many classes are offered) often proves to be a daunting task. In addition, a large percentage of non-college educated workers are located in jobs with irregular schedules, such as those characteristic of the service sector, making it difficult to attend classes that are inflexible in their scheduling. In addition to childcare needs and irregular schedules, transportation also proves to be a significant barrier, making the act of just getting to classes a challenge. Nationally, one-third of households earning less than $15,000 a year do not own a car (Stovern, 2002 as quoted in Van Horn and Schaffner, 2003). This is especially relevant in suburban and rural areas where typically there are not extensive public transportation systems. Furthermore, non-college educated workers often find very little access to employer-sponsored training. Lisa Lynch and Sandra Black (1995) found that employers’ investment decisions in regard to employee training are influenced by the characteristics of the workers that they employ. Overall, they found that employees who are perceived as having a high turnover rate and/or possess lower levels of formal education are less likely to receive employer provided training.[6] As a result of these barriers workers either forego training opportunities, or spend years attempting to complete credentials or degrees by taking one to two classes every few months. The relevant question then is not whether skills training is needed, but what is the best way to deliver that training to the working poor.
An innovative approach to addressing the barriers of attaining skills training is to provide the training via online learning. Online learning provides significant advantages to both the participants in the skills training program and their families that are not available in traditional settings. First, online learning offers flexibility in time and place. Participants can learn at their own pace, in their homes (or virtually anywhere), and attend classes when they can fit them into their schedules-taking classes at any hour or any day of the week. Further, online learning is cost effective, as participants save money and time in childcare and commuting when they receive skills training via technology in their homes.
While
online learning may not be appropriate for everyone---it places a premium on
discipline and self motivation---it has many advantages. In addition to flexibility in time and space,
skills training online offers opportunities for literacy that reach beyond
course content. Students are increasing
their skills using the very tool – the computer- that is markedly affecting the
type of skills that are demanded in our laborforce. Through online learning participants also
increase their facility with computers and the Internet, learn how to
troubleshoot technology, and improve their typing skills. By bringing the computer into the home, these
benefits extend beyond the workers themselves and also help to also increase
family literacy. While access to
computers and the Internet has increased over the past years, research
continues to demonstrate that disparities across social class and educational
level persist. According to the
The
As noted earlier,
all participants in the
A Composite of the Participants
Table 1 |
|
||||||
|
Demographic Breakdown |
|||||||
|
County |
|
|
Middlesex |
Monmouth |
Morris |
All Counties |
|
|
Participants |
21 |
23 |
17 |
39 |
28 |
128 |
|
|
|
|
|
|
|
|
|
|
|
Age |
|
|
|
|
|
|
|
|
Low Age |
20 |
22 |
22 |
21 |
48 |
20 |
|
|
High Age |
54 |
49 |
46 |
50 |
20 |
54 |
|
|
Average Age |
36 |
33 |
34 |
29 |
26 |
32 |
|
|
|
|
|
|
|
|
|
|
|
Ethnicity |
|
|
|
|
|
|
|
|
African American |
12 |
7 |
9 |
24 |
18 |
56 |
|
|
Hispanic |
4 |
9 |
3 |
4 |
6 |
24 |
|
|
White |
5 |
7 |
5 |
10 |
4 |
47 |
|
|
Asian |
0 |
0 |
0 |
0 |
0 |
0 |
|
|
Native American |
0 |
0 |
0 |
1 |
0 |
1 |
|
|
|
|
|
|
|
|
|
|
|
Highest Degree |
|
|
|
|
|
|
|
|
Less than High School |
1 |
0 |
0 |
6 |
0 |
7 |
|
|
High School |
13 |
15 |
8 |
14 |
18 |
68 |
|
|
Associate |
|
|
1 |
10 |
7 |
18 |
|
|
Some college |
5 |
6 |
2 |
7 |
4 |
24 |
|
|
Bachelor |
0 |
0 |
3 |
0 |
3 |
6 |
|
|
Technical* some
women reported in both HS and technical categories |
1 |
2 |
2 |
6 |
4 |
15 |
|
|
Graduate |
1 |
0 |
1 |
0 |
0 |
2 |
|
|
|
|
|
|
|
|
|
|
|
Marital Status |
|
|
|
|
|
|
|
|
Single |
15 |
13 |
10 |
32 |
14 |
84 |
|
|
Divorced |
3 |
5 |
5 |
5 |
7 |
25 |
|
|
Separated |
3 |
5 |
2 |
2 |
7 |
19 |
|
|
|
|
|
|
|
|
|
|
|
Personal Characteristics |
|
|
|
|
|
|
|
|
Disabled (either physical or learning) |
1 |
2 |
1 |
1 |
2 |
7 |
|
|
English as a Second Language |
4 |
0 |
4 |
2 |
9 |
19 |
|
|
Average Number of Children |
2 |
2 |
|||||