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To hear some ed tech enthusiasts tell it, online learning is sweeping aside the barriers that have in the past prevented access to education. But such pronouncements are premature. As it turns out, students often carry these barriers right along with them, from the real world into the virtual one.

These dismally low numbers provide a reminder that “access” to education is more complicated than simply throwing open the digital doors to whoever wants to sign up. So how can we turn the mere availability of online instruction in STEM into true access for female students?

One potential solution to this information-age problem comes from an old-fashioned source: single-sex education. The Online School for Girls, founded in 2009, provides an all-female e-learning experience.

Eight of the top 10 computer science departments now use Python to teach coding, as well as 27 of the top 39 schools

Java is frequently used in high school advanced courses, so the transition to Java in college is a natural one for students

3 ways to get every student coding

nstead of starting with an elective for computer science, create a class that is required for all students. Better still, integrate it into the core curriculum for a math or science class, or maybe even art.

day it is integrated into a required class called CSTEM (the C stands for creativity, collaboration and computer science)

ust as advances in technology enabled the growth of science, the extremely rapid growth of technology we’re experiencing today is impacting our perspectives, tools, and priorities now. But beyond some mild clamor for a focus on “STEM,” there have been only minor changes in how we think of content–this is spite of extraordinary changes in how students connect, access data, and function on a daily basis.

What kind of changes might we expect in a perfect-but-still-classroom-and-content-based world? What might students learn in the future? Of course any response at all is pure speculation, but if we draw an arc from classical approaches to the Dewey approach to what might be next–factoring in technology change, social values, and criticisms of the current model–we may get a pretty decent answer. This assumes, of course a few things (all of which may be untrue): 1. We’ll still teach content 2. That content will be a mix of skills and knowledge 3. Said skills and knowledge will be thematically arranged into “content areas”

The Content Of The Future: 8 Content Areas For Tomorrow’s Students 1. Literacy Big Idea: Reading and writing in physical & digital spaces Examples of traditional ideas and academic content areas included: Grammar, Word Parts, Greek & Latin Roots, The Writing Process, Fluency; all traditional content areas 2. Patterns Big Idea: How and why patterns emerge everywhere under careful study Examples of traditional ideas and academic content areas include: Grammar, Literature, Math, Geometry, Music, Art, Social Studies, Astronomy 3. Systems Big Idea: The universe—and every single thing in it–is made of systems, and systems are made of parts. Examples of traditional ideas and academic content areas include: Grammar, Law, Medicine, Science, Math, Music, Art, Social Studies, History, Anthropology, Engineering, Biology; all traditional content areas by definition (they’re systems, yes?) 4. Design Big Idea: Marrying creative and analytical thought Examples of traditional ideas and academic content areas include: Literature, Creativity, Art, Music, Engineering, Geometry 5. Citizenship Big Idea: Responding to interdependence Examples of traditional ideas and academic content areas include: Literature, Social Studies, History; Civics, Government, Theology 6. Data Big Idea: Recognizing & using information in traditional & non-traditional forms Examples of traditional ideas and academic content areas include: Math, Geometry, Science, Engineering, Biology; 7. Research Big Idea: Identifying, evaluating, and synthesizing diverse ideas Examples of traditional ideas and academic content areas include: English, Math, Science; Humanities 8. Philosophy Big Idea: The nuance of thought Examples of traditional ideas and academic content areas include: Ethics, Literature/Poetry, Art, Music; Humanities

Sam Levin, an alum of Monument who is currently a sophomore at the University of Oxford in England studying biological sciences, started the program in 2010. Frustrated with his public-high-school schedule and realizing that his friends weren’t inspired to learn, Levin complained to his mother about how unhappy he and his classmates were, to which she responded: “Why don’t you just make your own school?” And so he did — albeit in small steps. In ninth grade, Levin started a school-wide garden that was solely cared for by students; some woke up early on Saturdays to work with the plants. The garden is still functioning and serves at-need families in the community. After witnessing the commitment that his classmates had to nurturing something they had created themselves, Levin was convinced that they were capable of putting more time and energy into their studies — as long as it was something they cared about. “I was seeing the exact opposite in school. Kids weren’t even doing the things they needed to do to get credit. There was something at odds with students getting up to work for no credit or money [on the garden] at 7 in the morning, but not wanting to wake up to read or do a science experiment,” says Levin. “I saw the really amazing and powerful things that happened when high school students stepped it up and were excited about something.”

The semester is split in half, with the first nine weeks focused on natural and social sciences. Each Monday morning, the students formulate a question with the help of their classmates. For example, “How are plants from different parts of a mountain different from each other?” or “What causes innovation?” The students spend the rest of the week researching the answer and creating a presentation to summarize their findings to share with their classmates at the end of the week for feedback and critique. The students are in charge of keeping themselves on task, creating their research plans and meeting their deadlines.

By taking ownership of their learning, the students at Monument are forced to think creatively and capitalize on their own talents in order to excel. The class framework is similar to what will be expected of them in college and in the workforce, when they have to make their own educated and independent decisions.

Clearly, MIT BLOSSOMS (the name stands for Blended Learning Open Source Science Or Math Studies) isn’t gaining fans by virtue of its whiz-bang technology. Rather, it exerts its appeal through an unassuming but remarkably sophisticated understanding of what it is that students and teachers actually need. It’s an understanding that is directly at odds with the assumptions of most of the edtech universe.

For example: BLOSSOMS is not “student-centered.” In its Twitter profile, the program is described as “teacher-centric”—heresy at a moment when teachers are supposed to be the “guide on the side,” not the “sage on the stage.” The attention of students engaged in a BLOSSOMS lesson, it’s expected, will be directed at the “guest teacher” on the video or at the classroom teacher leading the interactive session.

All this is blasphemy in view of the hardening orthodoxy of the edtech establishment. And all this is perfectly aligned with what research in psychology and cognitive science tells us about how students learn. We know that students do not make optimal choices when directing their own learning; especially when they’re new to a subject, they need guidance from an experienced teacher. We know that students do not learn deeply or lastingly when they have a world of distractions at their fingertips. And we know that students learn best not as isolated units but as part of a socially connected group. Modest as it is from a technological perspective, MIT BLOSSOMS is ideally designed for learning—a reminder that more and better technology does not always lead to more and better education.

mary and secondary school pupils in

Teaching programming skills to children is seen as a long-term solution to the “skills gap” between the number of technology jobs and the people qualified to fill them

Our new curriculum teaches children computer science, information technology and digital literacy: teaching them how to code,and how to create their own programs; not just how to work a computer, but how a computer works and how to make it work for you.”