A national research agency received a grant “to frame a program of research reviews [focused on learning technology] that would summarize, synthesize, and
draw conclusions from the research. An ongoing program of research reviews would help educators, developers, and policymakers to monitor and apply the
latest research in the development and implementation of learning technologies and also to identify key questions and methodologies for future research and
That’s an ambitious assignment given the scope and speed of the “
spontaneous explosion of entrepreneurial activity in education.
" They called last week and we discussed how to structure a next-gen research program.
First, I drew the distinction between backward-looking and forward-leaning research. Traditional methodologies, including randomized controlled trials, are useful for accurately identifying attributable
effects of interventions in stable environments. Unfortunately, that doesn’t apply to much in this category. We’re in one big design phase -- designing
learning tools, experiences, and environments. That suggests short cycle directional research focused on improvement and innovation and conducted in
conjunction with product development. I’ve suggested that
helping teachers find and create their own short-cycle experiments
could lead to improved efficacy.
These days, most tech tools are developed in a lean startup environment, starting with a hunch,
validating with data, and running iterative product releases on short product development cycles that incorporate customer feedback. With hundreds of
organizations conducting simultaneous development, a connection to primary research, a network of schools willing to try stuff (e.g., League of Innovative
Schools) and some data gathering infrastructure would be valuable.
And speaking of primary research, at this point in the conversation I mention Kaplan CAO Bror Saxberg, the sector’s most persistent advocate for more
primary research into the neurobiology of learning.
Moving on, I discussed important categories of research:
Adaptive learning tools
(assessment and instruction): Reading, writing, and math in elementary, middle, and high. This could include a “bake-off” between existing products, an
extension of STEMworks Database, from Change the Equation, which provides information on promising preK-12 products. Study the unique pathways to
competence traveled by different students. (I’m planning classroom trials of writing assessments.)
Blended school models
: Utilizing Innosight Institute’s " Classifying K-12 blended learning,” a program of research
could evaluate the effectiveness of new models.
Creating and evaluating models of multi-modal learning progressions using a variety of assessment and observation instruments, and extension of School of One. The hypothesis to test: will matching level and best learning modality boost learning?
I keep saying that motivation sciences will yield the big breakthroughs in this decade, but that will require a handful of big data research projects
that analyzes how different students respond to different learning experiences.
Lots of us assume that getting rid of seat time and allowing students to progress at their own rate will work better but there’s not much research on
that topic and it changes everything -- learning environments, tools, schedules, funding, and staffing -- and deserves more study.
as noted last week in Better Learning Online, researchers should consider
R&D partnerships with online learning providers-they already live in the data rich learning environment of the future.
The work of RethinkAutism and PresenceLearning suggest the
potential for a new generation of tools aimed at special needs. A focused special needs R&D agenda could dramatically improve learning for millions
of students in the near future.
Their final question was “What audiences might be interested in edtech research?” My answer, “Everyone!” Well, at least a lot more than would have been the
case a decade ago. Now that parents, students, and teachers are leading the subversive app adoption revolution, there are millions of us trying to figure
out what works.
Product reviews and Yelp-like user feedback is a start. Bake-offs and prizes like ASAP help focus and accelerate
innovation. Crowdsourcing will enlist thousands of classrooms in efficacy trials. Adding a research infrastructure to the hypothesis testing and rapid
development cycles now common among lean startups would accelerate innovation and build sector knowledge. It’s time for next-gen research on next gen
The opinions expressed in Vander Ark on Innovation are strictly those of the author(s) and do not reflect the opinions or endorsement of Editorial Projects in Education, or any of its publications.