Category Archives: Educational Computing

The practice of education is being changed by the electronic devices many of us carry in our pockets — by the access they provide to encyclopedia knowledge and by the ability to contact people around the world almost instantly. Let’s talk about what’s happening now by posting our thoughts here. To read about the History of Computing in Learning and Education (what happened between 1960 and 1990) please check out the HCLE Virtual Museum Blog (https://hclemuseum.wordpress.com). If you’re more interested in the future of learning and education, try the category called Open Educative Systems.

Are Equity and Access Enough?

One of LO*OP Center’s volunteers sent me the following questionnaire as part of his college research on Computers and Society. The wording of the questions suggested to me that we need to get smarter about the factors that impact ‘equity’ and ‘access’ to digital technology.

The first question seemed to be designed to establish my bona fides:

What has your experience been with providing low-income communities with access to technology?

newspaper article on ComputerTown USA! from May 26, 1980

ComputerTown USA! News in  neighborhoods in 1980

My response:

Before personal computers became prevalent and smart phones were invented I was filling the trunk of my car with small computers and demonstrating their use across California.
I ran a public access computer center that provided extremely low-cost access. I participated in ComputerTown, USA!, the first project to put computers in libraries for patrons’ use. This greatly facilitated access in low income communities. I also introduced computer literacy to teachers.

My experience is that members of low-income communities are just as capable of using computers and other high-tech devices as wealthy people. Access is related to having the means to purchase hardware and software but it is much more. Effective access requires a sense of agency, a commitment to continuous learning, permission to do things differently, and the availability of long-term mentors, factors that are often lacking in low-income communities.

The questionnaire continued:

Do you feel as though people from low-income households have equal access to technology?

My response:

Of course not. Income determines access to all commodities including food, health care, digital devices and connectivity.

To me the question seems like a throwback to the early 1900s when many people believed that poverty was an inherited trait like eye color or being able to curl your tongue. It’s not the poverty that’s inherited in our DNA. The poverty is maintained through cultural practices, the learned behaviors that are passed from grandparent to parent to child. Some cultural practices allow us to survive, thrive and celebrate our unique community identities. Others sap our self confidence, tell us things like, “our people are farm hands, not land owners.” Traditional cultures often rely on what worked in the past because the environment didn’t change much from one generation to the next. Schools can counter this stay-the-same mentality. They can give children permission to go beyond their heritage, to carry forward the language, art, cuisine and styles of their ancestors while revising work habits, attitudes toward money, and rejection of new technologies.

Are people from low-income communities any more or less inclined to pursue technology related studies than those from higher income communities?

Although it isn’t politically correct to admit it, most of us “apprentice” in our own families and follow careers that are similar to our parents. Our studies are highly influenced by our career choices. If your family is economically stressed you are usually less “inclined” to take risks because you have little or

no financial cushion to absorb the blow if you fail. We (educators and technologists) are making strides toward bringing low income students into our ranks but the cultural and educational barriers remain high. It’s important that we not “blame the victim.”  Instead we need to analyze more deeply the relationship between low-income and adoption of untried technologies and the risks of pursuing them. 

What do you think our education system can do to assist in giving equal access to technology and technology related skills?

Access is just the first step in the process of creating equal representation in electronic technology ownership, use, and employment. Schools are discovering that simply giving each child a tablet computer helps but does not solve the problem. Motivation is just as important. To address motivation our educational system must improve student perception of self-efficacy and overcome cultural inhibitions that prohibit participation in new employment patterns and financial success.

There is no one “silver bullet”, no single intervention that schools can implement that will magically lead to equal access to ed tech and subsequent economic success. Even multiple changes in schooling will not be enough. We need to see schools as one in a chain of community institutions that surround and support those among us who are not thriving.

 

words related to education and development

Word Cloud from Africa Voices Dialogue Workshop on 5 Feb., 2022

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Research Interest Histories and the Forces that Shape Them

journal reprintsMany of us who read research literature may notice that research is a very “trendy” business. For example, the areas of “personalized learning” and “individualized instruction” became very popular for about 10 years between the late 1990s and the early 2010s. Subsequently this subject has faded away and few papers address the topic. Why?

Generalizing from my personal experience, I doubt that the shift in trend results from loss of interest on the part of the researchers. If one invests 10 years of study on a topic, boredom is unlikely to cause the shift. Perhaps we should explore three other possible influences.

First to come to mind is results. Many research projects focus on very tough nuts to crack. Figuring how to provide a custom curriculum for every student at scale isn’t easy. After chipping away at such a problem for 10 years it may continue to be of interest but an investigator may be daunted by how far in the distance a solution still appears. When significant results are scarce a line of research may be difficult to continue to pursue.

A second force may be the acceleration of technical change. In a field like education, one is concerned not only with the content being taught, the tools used to deliver that content become a subject of study in their own right. As computing devices infiltrated teaching practice, I’ve seen educational researchers struggle to separate the impact of motivation to play with the machine from both learner and investigator focus on the instructional content. Instead of varying one experimental factor at a time, researchers changed the phenomenon being investigated, the experimental methods employed and the situational context from one experiment to the next. No wonder results about the impact of computing in education have been inconclusive and/or unrepeatable.

A third force is inconsistency in funding for research. Funders, like the rest of us, tend to be dazzled by the latest and greatest innovations that are grabbing the headlines. A foundation may invest millions in a line of research such as personalized learning over a period of years and then suddenly switch to a sexier topic. When I follow the individual researchers who were publishing on personalized learning ten years ago, they show up today in searches for data analytics, MOOCs, AI in education, or workforce retraining. Personalization is no longer an effective keyword. Personalization may be an underlying factor in any or all of these new titles but the connection is difficult to track.

What makes interest histories important? By failing to sustain a line of research from conception of a problem to solution, we waste huge amounts of money and slow the impact of research way down. We discourage careers and often fail to recognize brilliant, although preliminary advances. We make it harder for those with an underlying passion for the same interest to find each other and collaborate.

complex sociogramToday we have some wonderful data visualization tools to make interest histories easier to track and thereby encourage valuable collaborations. We can display mesh diagrams showing student-professor relationships as well as co-authorship of papers and patterns of citations. We can see which journals are featuring articles we need to read, what conferences we would benefit from attending and how siloed groups of practitioners can cross-fertilize each other. The migration of keywords that indicate an underlying interest can come to light. Perhaps an even more practical use of such analytical methods would be to alert us when promising research initiatives begin to starve from loss of funding. I doubt that lack of interest is a key force here. It’s time we paid attention to what is driving trends in research.

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LOGO Programming: It’s fascinating but does it change lives? – A 40 year question

New video on Jamaican girls using LOGO

The comment by Artemis Papert in this video (at minute 3:40) is key. These girls are learning how to approach a problem and segment it into solvable chunks. Bravo! But we are still making major educational decisions on the basis of anecdotal evidence. We have now been using LOGO with kids for over 40 years. Where are the longitudinal studies to tell us what the outcomes have been in these children’s lives? It’s not enough just to notice that kids enjoy the activity, can generate artistic displays or to claim that it “works”. We need evidence of whether learning to code in this way correlates with changes in future education, work and leisure activities. The studies must be “goal free”. In other words, the research design cannot be biased so that negative findings are suppressed. Although I am a strong advocate for everyone to learn the rudiments of programming, I still want evidence that indicates that the proposition “there is no relationship between exposure to programming in LOGO and desired educational outcomes” is false.

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Girls, Coding and History

Whirlwind Computer, 1951 with 3 men and 1 woman

Whirlwind Computer, 1951

The article,

Innovators Assemble: Ada Lovelace, Walter Isaacson, and the Superheroines of Computing

featured in the latest online issue of the Communications of the ACM got me to thinking…

What’s keeping girls out of computing today?

I invite you to consider two differences between the social circumstances under which the historical female programmers/operators in the article got into computing and the path we are encouraging girls to follow today. Although Lovelace is an exception, most of the war-years computer women had already left school before they started to work with machines. They may have demonstrated math or mechanical ability earlier but they received their computer training on the job. There were no computer classes in high schools, colleges or universities. (Lovelace was tutored privately so she, too, did not learn math in a crowded classroom).

Fast forward to today and our campaigns to get girls into coding. To qualify for a job in this field, girls will have had to brave co-ed classrooms with cliques of boys who pick on geeky girls and cliques of non-geeky girls who are likely to be even more punishing. The pressure against geekiness was even present, although probably less harsh, during my own personal experience in an all girls private high-school.

10 kids, about 2nd grade, in modern computer classroom.

Boys still on one side, girls on the other

At the 1979 computer literacy project, ComputerTownUSA!, initiated by Bob Albrecht and Ramon Zamora, we found that we had to plan “girls only” events to keep the boys from crowding the girls away from the keyboard. This says nothing about aptitude for the task but does suggest that some “affirmative action” is necessary to create an environment in which most girls will be willing to learn computing.

A second difference in social context is the war effort during the 1940s. Then, women moved into many male-dominated occupations and were considered patriots because the boys were at the front.

It was an era of full-employment when all hands (and minds) were needed regardless of gender. Today’s climate of unemployment and downward wage pressure amplifies competition which sometime emerges as sexist rationale. Those who dominate a field, in this case, white males, are likely to use any excuse to make the classroom and workplace inhospitable to competitors. Highlighting historic women technologists and contemporary female role models can go a long way toward encouraging today’s girls to aspire to STEM careers. In addition, we need to create work environments where boys and men, who are still brought up with an ethic that they should be bringing home the bacon, are not moved or permitted to harass girls and women in order to protect their own status.

Poster of 1940's woman in red bandana using an electric drill

Patriots.

 

Of course, this essay doesn’t solve the problem. But we do an injustice to young women if we use historical figures to encourage them to enter the fray and don’t point out that they face some significantly different challenges from their forebears.

I’d like to hear your ideas about how we can get more girls and women involved in the creative side of computing and even whether you think this is a good idea. The form below will help continue the conversation.

 

 

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