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.

Behold! The Trojan Horse (from 1985)

or Escape from the Classroom 25.7

ABSTRACT

This background paper for a symposium on the school of the future reviews the current instructional applications of computers in the classroom (the computer as a means or the subject of instruction), and suggests strategies that administrators might use to move toward viewing the computer as productivity tool for students, i.e., its use for word processing, database management, and other applications. Factors favoring the use of computers as a means or object of instruction are discussed, including teacher ignorance compounded by uninformed teacher trainers, and a bias in the literature in favor of the current approaches. Steps that principals can take to encourage the extension of teacher use of productivity tools to student use of appropriate tools are suggested. Fourteen references are listed. (MES)

INTRODUCTION

“I wouldn’t mind learning to write programs to solve MY math and science homework problems!”

“Well, I want to learn to USE the computer, not program it!”

“I’m a writer. I want to use the computer to help me compose and edit my work.”

“Ha! The computer is not a typewriter! It’s a scientific tool. I want to use the computer to help with experiments. Why should I have to write a program that is already on the market? I need to learn to use programs.” (Jackson, 1984:65)

These comments, made by middle school students in a critique of their school’s “computer unit”, reflect my own approach to computing. The computer (with appropriate software) is a tool that I use to accomplish my goals. It almost never “teaches me anything (except humility) although I occasionally use it as an electronic page turner for text stored on diskette. I often bump up against the limits of hardware or software and realize that there is no way for me to command the computer to do exactly what I want done. But the computer never tells me what to do nor does it make judgements about my performance. Who would want it any other way?

Apparently, the adults who inhabit most schools (i.e. teachers and administrators) have other ideas about the role computers should play in the classroom. The computer is seen as an “instructional tool”, a fantastic new delivery medium that teachers can use to expand their influence beyond the ordinary limits of time, space and human patience.

In this paper, I will explore a current teacher-administrator vision of classroom computing and identify some of the factors that keep computing “instructional”. Next I will suggest some strategies that principals might use to encourage teachers to move toward viewing the computer as a “productivity tool” for their students. I will close with some comments on how the instructional view of computing works to prevent substantive change in our secondary schools.

VISIONS OF CLASSROOM COMPUTING

To avoid misunderstanding, let us begin by differentiating clearly between ”instructional use” and” productivity use” of computers. Instructional computing includes a variety of methods of managing and delivering curriculum and student  evaluation. The familiar five ‘C’s’ come under this heading: Computer-asisted-instruction (CAI), computer managed instruction(CMI), computer based instruction (CBI), computer aided learning (CAL) and computer aided teaching(CAT) (Lawton 1982). We might apply the title: Computer as means of instruction to these uses. Other instructional computing subjects are: computer literacy, computer science, and computer programing. These three might be more appropriately entitled: Computer as object of instruction. There is some variation of opinion about who should qualify as computer literate. Many proponents felt that “anyone who has written a program“ has paid the appropriate dues (Nevision 1976) while others have stronger programing requirements (Leurhman 1984) or advocate for components of history, terminology, and social implications (Klasen 1981). But all agree that information about computing forms the bulk of the curriculum to be studied. The literature of computers in education is replete with suggestions and arguments about the methodology, impact and effectiveness of instructional computing – both the “computer as means” and “computer as object” varieties. One can even find reference to use of computers as ”Tool,Tutor, and Tutee” (Region VI TEC Center, 1983). But further investigation usually reveals that ”tool” means tool for the teacher to use in delivery, management or evaluation. When the ”tool” reaches the hands of the student, it will be applied only as a “tool for solving problems” defined and presented by the teacher. A search for published discussion of in-school use of the computer as a tool for use by students under their autonomous control yields little fruit.

A few peachy references do show up if one is persistent. Marc Tucker comments:

“What is important, in my opinion, is helping the student to acquire the skills necessary to use the computer as a powerful tool in a wide range of applications, a tool at the service of the student. For some students, the power of this tool will come through an ability to program it, but for many it could and should come from knowing how to use the computer, its peripheral equipment, its associated telecommunications systems and off-the-shelf applications programs, to get things done – how to use it for writing, editing, getting and analyzing information, making drawings and graphs, doing differentiations in mathematics, recording and interpreting laboratory data, and countless other tasks. These are the skills likely to be increasingly important over the years for vast numbers of present day students (Tucker: 316)

These computer applications, often called “productivity tools“ in the lingo of office automation, are no different when used by students than when used by office clerical staff or business executives. In fact, teachers are beginning to discover the secret of computerized productivity tools for themselves. When asked to rank tasks in order of importance, teachers in one study responded: 1) select courseware, 2) integrate courseware, 3) help students with special needs through understanding principles of instruction, 4) do word processing. “However, if only those with a personal knowledge of particular applications were considered, the items above ranked; 4 [word processing],1 [select courseware]” (Godard,1984:14). Word processing was ranked as the most important task, leaving courseware selection to second place. In other words, those in the know know that productivity tools such as word processing make it worthwhile to learn to operate a computer.

Although teachers are beginning to realize that productivity tools exist, the prevailing attitude was expressed by this comment from an instructor from the San Mateo County TEC Center at the 1984 West Coast Computer Faire in San Francisco:

“Oh, no, we don’t teach advanced programs like VisiCalc. Our students [teachers] are still beginners. They’re learning to program in BASIC.

This teacher of teachers was evidently unaware that it takes several days, if  not weeks, for an individual to produce a useful program in BASIC (some of us never do achieve that goal) but that most people who sit down with VisiCalc or a similar spreadsheet application program experience gains in productive output within a few hours.

FACTORS FAVORING INSTRUCTIONAL COMPUTING

The step from teacher use of productivity tools to student use of those same tools should be an easy one. Why isn’t it happening in classrooms? The answer is documented in thousands of articles about introducing computers into schools. They discuss the development and use of ”educational software”, not application programs. They assume that the teacher’s role is to transmit the facts and skills of the curriculum, to “instruct”. The computer is seen only as an instrument to augment that role. Teachers produce lesson plans, lectures, grades, dittos, assignments and student gains on test scores. Software that helps in these tasks, no mater how crudely, is offered to teachers.

The factors identified so far, teacher ignorance compounded by uninformed teacher trainers and reinforced by a one-sided literature, would be sufficient to seriously hamper any teacher who set out to acquire knowledge of productivity tools and then to transmit this knowledge to students. But the problem gets worse when we consider the roles teachers set themselves and their students.The step from teacher use to student use can not be taken until teachers really do use general purpose productivity tools for themselves. Teachers simply do not have time to master all possible uses of computers. Until we stop encouraging them to become masters at curriculum development and complex computer programing all within a single summer ”vacation” they will miss the personal advantages of word processing, spreadsheets, simplified database management packages, and electronic communications.

Not only are teachers naive about their own productivity, they rarely think of their task as one of increasing the student’s ability to produce his own learning. Almost nowhere is the teacher presented with Arthur J. Lewis’ point of view that:

we can encourage students to assume responsibility for their own learning – to become self-directed, lifelong learners. The ultimate goal of education is to shift to the individual the burden of his or her own education. (Lewis, 1983:10)

Teachers present the opposite point of view by placing themselves between the learner and the subject matter to be mastered. When they chose this strategy in computer use they are under constant fire to acquire skills at a formidable pace just to keep up with some students. Some teachers react by refusing to allow students to use productivity tools at all.

Why might a teacher not wish to permit a student to use a word processor, spreadsheet or database management program to prepare work for class credit? Because to do so will require adjustments in student evaluation, teacher pedagogy, and the teacher’s role vis-a-vis the student. For example, the teacher can no longer give credit for spelling, arithmetic, or a “normally neat” presentation. Just how much improvement in content should be expected when the student no longer has to retype after editing? How can a naive teacher evaluate “help” received by the student from parents, friends, and software? And how does a teacher cope with a student who has demonstrated the motivation and the capacity to master the use of this computer tool ON HIS OWN, without the guiding hand of the teacher? The consequences of keeping computing “instructional” are now being seen in schools around the country. As Decker Walker points out in “Computers in the Curriculum,” (Walker,1985)

the current mechanisms for curricular change are on overload. We can’t design courses, develop materials, train teachers and obtain equipment fast enough.

Worse yet, there is a perceived need for “educational software” that no one seems to be able to supply. Many advocacy groups, including National Commission on Industrial Innovation and Apple Computer’s “Kid’s Can’t Wait” program are attempting to use what Walker describes as “intervention from higher authorities.” Such use of political pressure may succeed in getting hardware inside the school building, but the same bottleneck is encountered at the building level: untrained teachers, difficulty in integrating computing into the existing curriculum and lack of software. Walker’s third strategy, that of sidestepping the formal school program and acquiring computing skills through alternative channels, solves half of the problem. It gets some kids using computers. However, it exacerbates the equity issue which we will discuss further below.

The fact that many parents are seeing to it that kids have access to computers and their accompanying productivity software places many public school teachers in an uncomfortable position. Either they must permit the use of computer output in their classes or they risk losing all credibility in the eyes of many students.

PRINCIPAL TO THE RESCUE!

The development of this dilemma signals a critical turning point in the use of computers at any school. It is important that the classroom teacher receive strong support from the principal and the district or the road taken is likely to be drill and practice administered under strictly controlled access conditions. The teacher must be provided with the opportunity to become an active computer tool user so that he or she can understand and share in the changes that the students are experiencing. Opportunity often takes the form of a computer in the teacher’s lounge(Le 1983) and the availability of software of the same type the students are using. In addition, manuals, magazines, and knowledgeable personnel (often another teacher) need to be identified and at hand.

The building principal is likely to be uniquely positioned to mobilize space, “emergency funds”, and staff assignments to optimize the acquisition of computing skills by the teachers. He can set an emotional tone that favors encouragement of student use of computer tools without requiring the teacher to be an expert on every piece of software the students use. The principal can also use the authority of his or her office to face the problem of equal access to computing facilities for all students. High priority can be given to having at least one computer with productivity software available to students in a resource center or library during school hours. If campus facilities are off limits to students after hours, the principal can make arrangements with public libraries and other community facilities to insure that students who do not have private computing resources can use the public ones (Loop1982). Equity problems are not easy to deal with but limiting computer use to structured drill and practice for set periods of time is no solution at all.

SUBSTITUTE OR SUBSTANTIVE CHANGE?

Now that we have come full circle – back to that paradigm of instructional computing, drill and practice – let us see if we can understand how computing might be used to maintain the status quo in schools. The argument rests on George Spindler’s notion of “substitute change” and “change in principle” (Spindler 1985). Substitute change occurs when a new technique or “instrumentality” is adopted for performing the same task by the same people. Spindler offers the example of substituting a gas-powered rototiller for a horse-drawn plow to prepare field for planting. The same farmer uses a new technique to perform an old task. There may be some increase in speed and capacity with an accompanying decrease in labor required. However, the same field is plowed by the same person. Now consider change in principle – ownership of the fields is consolidated, large, high-sped cultivator-planters are employed by entirely different personnel. Such a change has major impact on the daily life of the farmer. A change from delivery of curricular material by the teacher through books and lectures to the delivery of the same material via computer is a substitute change. It permits the maintenance of a teacher-centered classroom within which a constant body of facts and skills are transmitted to the student. The addition of six to eight weeks worth of facts about computers or a new course in computer programing does not constitute change in principle for a school.

The introduction of computer-based productivity tools for student use is a small change, but it is a change in principle. It acknowledges that the product of schooling is learning, not teaching. Further, it establishes a partnership between the student (or learner) and the tool. It is the beginning of a school-wide shift predicted by futurists, from CAI or CMI to computer applications and programing (Dede1983). But it is also a hope shared by more conservative educators such as Henry Levin:

In our view there must be a greater component of problem solving, analytical reasoning, reading, and writing across the curriculum, rather than limiting instruction in these areas to specific courses. The computer should be considered a tool for learning rather than a subject that will displace more fundamental learning required for an educational foundation. (Levin,1983:5)

John Holt, George Leonard, Herb Cole and scores of other radical educators of the sixties accused the schools of blindfolding the children and holding them back from the real learning of which they were capable. Many of us who helped to bring computers into classrooms in these vents thought we were importing an educational Trojan horse which would help students to tear down the constricting school walls from the inside out. Today we see our valiant charger giving educational pony rides while parents and politicians alike decry the impending downfall of our civilization because the educational systems is failing to prepare the next generation for responsible, creative adulthood.

Can anyone believe a problem of such magnitude is soluble with “better educational software?”

2015 Addendum:

Students, teachers, schools, computers and the internet have come a long way since the early 1980s when the research for this paper was conducted. Even so, the underlying tension between Teacher-centered and Learner-centered education is clearly visible in the 2015 discourse about computer use in schools. The connected electronic device, whether game box, telephone, tablet or general purpose computer, has done its work as Trojan Horse and empowered students to breach the walls of the classroom. Students now engage in sophisticated learning activities any time, anywhere although they may not always label such activities “educational”. Those who used to oppose all use of computing for learning have backed away from that position and now focus on the role of electronic technology in the teacher-led classroom.

2025 Addendum:

I’m still fighting this fight with some superficial changes. Today many educators are bemoaning what they view as “cheating” when students use AI-based Large Language Models (LLMs) to access facts and improve grammar and narrative style in essays. While there are some pitfalls to be avoided when relying on AI to ‘tell the truth’, forbidding its use seems like insisting students use their fists to pound in nails instead of hammers when building a house. There is a digital Trojan Horse in the pocket of almost every American teenager and its breaking down the schoolhouse walls. My grandchildren no longer expect their school teachers to dispense the knowledge they need to thrive in the world they are inheriting. The kids will surge ahead. I predict that educators who don’t adapt will be left behind.

 

REFERENCES

Computer Training Opportunities, Course Announcement Brochure from Region VI Teacher Education and Computer Center, Hayward, CA, September November, 1983

Dede,Christopher; ”Likely Evolution of Computer Use in Schools” in Educational Leadership, v41 n1 p2 Sept,1983

Godard, Wiliam P.; Pereira Mendoza, Lionel; “Three Perspectives for Computer Applications in Education” in AEDS Journal, v17 n3 p14-23 Spr, 1984

Havelock, Ronald G.,The Change Agent’s Guide to Innovation In Education, Educational Technology Publications, Englewood Cliffs, NewJersey, 1973

Jackson, Roberta; “Learning With and About Computers” in Computers in the Schools, v1 n3 p 65-71 Fall 1984

Klasen, Dan; “Computer Literacy” in Harper, Denis 0.; Stewart, James H.; RUN: Computer Education, Brooks/Cole Publishing Company, Monterey, CA; 1983

Lawton, Johnny; Gerschner, Vera T.; “A Review of the Literature on Attitudes Towards Computers and Computerized Instruction” in Journal of Research and Development in Education, v16 n1 p 50-55 Fall, 1982

Le, Helen C.; “How to Lure Teachers to the Microcomputer” in Principal, v62 n3 p26-27 jan, 1983

Levin, Henry M.; Rumberger, Russell W.; “Secondary Education in an Age of High Technology” in NASP Bulletin, v67 n467 p49-55 Dec, 1983

Lewis, Arthur J.; “Education for the 21st Century” in Educational Leadership, v41 n1 p10 Sept, 1983

Loop, Liza; Anton, Julie; Zamora, Ramon; ComputerTown; Reston, VA, 1983

Nevison, John M.; Computing as a matter of course: the instructional use of computers at Dartmouth College; Kiewit Computation Center, Dartmouth, NH, 1976

Tucker, Marc; “Computers in Schools: A Plan in Time Saves Nine” in Theory Into Practice, V2 n4 p 313-320

Walker, Decker F.; ”Computers in the Curriculum” photocopy of typescript from author, Stanford University, 1985

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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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