Microsoft En

A Vision for Life Long Learning – Year 2020

By: Randy Hinrichs
Group Research Manager
Learning Science and Technology
Microsoft Research

1

Overview

Technology in education has two faces: one of transformation and one of hype.
The printing press revolutionized access to education, and in the process an
explosion in scientific inquiry was born. Teachers could finally produce and
communicate content to a growing number of students entering an industrial
revolution. Classrooms emerged as a great solution to disseminate content and
augment interaction with faculty and other students. Traditional apprenticeships
with experts polished the student to perfection.

Within a short period of time, the industrial workforce ballooned and with it the
student body. The need to scale student to teacher interactions encouraged us to
turn to other technologies: radio, television, computers, and the World Wide Web.
Individually, these technologies couldn’t increase the ratio of experts to novices,
or significantly add to their real world experience. The “educational
transformation” hype emerged around these technologies and they didn’t deliver
as their evangelists claimed.

“I believe that the motion picture is destined to revolutionize our
educational system and that in a few years it will supplant largely, if not
entirely, the use of textbooks.” (Thomas Edison, 1913).

“Radio may come as a vibrant and challenging textbook of the air”.
(Benjamin Darrow, 1932, Founder and first director of the Ohio School of
the Air).

There won’t be schools in the future…. I think the computer will blow up
the school. … but this will happen only in communities of children who
have access to computers on a sufficient scale.” (Seymour Papert, MIT,
“Trying to Predict the Future”, Popular Computing, October 1984)

One thing Mr. Papert got right was that access to computers, especially ones that
are connected to communities would have an impact on education. The
transformative differentiator for the next generation is the programmability of our
interconnected networks. With increases in software programmability, we
increase interactivity, increase communication, increase learner adaptability,
increase shared visualizations, increase shared laboratory access, and increase
experiential learning. In 20 years, we’re going to see an impact equal to the
printing press. This time we’ll see a global, diverse, educated workforce
delivering dependable innovation, shared vision, and collaborative creativity.

The sweet spot for the use of technology in education may clearly be that
software personalizes the learning experience, connects all the components, and
emancipates publication for targeted and effective interaction. In the future, no
one owns content as an end product. It is molecular at its origin. MIT will give
away their content for free, other institutions will follow with interactivity

2

innovations, and quality content will be consumed in chunks by whoever needs it.
Through a filter of standards, tools and personalization templates (both for
individuals and groups) we’ll be able to aggregate learning content, the
relationships between the content, and our context for using the content in such a
way as it becomes part of our own personal value proposition when studying or
working with others. The objective: obtain and create knowledge at the right time,
in the right place, in the right way, on the right device, for the right person.

Learning 2020 – Innovative, Creative, Collaborative Workforce

Let’s imagine where technology will be in 20 years to help us set a vision for
taking advantage of this new power for education. Such an exercise will allow us
to visualize a roadmap for getting there.

It Begins at Birth – Intelligent Toys

From the first few months of life, children play with toys that teach them various
concepts. In 2020, toys begin capturing children’s learning experiences by using
embedded technology that records information about the child’s habits,
preferences and progress to provide parents with a better understanding of their
child’s development. Toys provide parents with the child’s learning profile,
sending private information to the parent’s information appliance so they can use
the information in the selection and purchase additional toys that will enhance the
child’s motivation and experience.

Preschool – Game Based Learning

Over the course of the preschool years, children increase their play in Learning
2020 by engaging in supportive virtual reality games in which they build on their
psychomotor, reading, writing and math skills they learn in school. Interaction
with other students and teachers in the environment helps identify learner
strengths and deficiencies. The environments individualize around the children’s
content preferences, and create classroom activities that encourage children to
expand their abilities through problem solving environments, complete with on-
line personalized mentoring by parents and teachers. The games build critical
thinking skills using simulated, situational environments that engage other
members of the family and community to play along.

Because the parent is more involved, the access to outside content is monitored
and manual personalization of student interest can be adjusted accordingly
during prescribed home activities as well. The technology objective is to
construct a safe environment for the child while engaged in technology driven
learning experiences. For real world interactions, video playbacks of children
engaged in learning activities are frequent and reviewed by student, teacher and
parent.

3

The Early Years – Social Collaboration and Filtering
Auto-Recommended Group Formation
Since many parents send their children to kindergarten and traditional K-8
schools, while others home school their children, Learning in 2020 focuses on
creating learning environments that facilitate communication and collaboration.
Technology networks kids together in groups to learn and practice their
combined skills. Whether children are working on art or science, they work with
embedded technology that measures their performance. Capture technologies
record student interactions, teacher guidance and parent profiles to provide
individualized and group feedback. Continuous personalization ensures each
participant brings something unique and cooperative to the group keeping
membership optimal. Children communicate with ubiquitous devices that provide
targeted feedback to each other while working in groups, identifying
compatibilities and suggesting what questions to ask. Group communication is
the core objective, with shared activities as the principal methodology.
Student Generated Interactive e-Books
Students use wearable technologies to exchange, collect, communicate and
present information either posted to large screen displays, or holographic 3D
environments. As they collect information, it automatically maps to the learning
objectives for their skill group and displays cumulative data about the group’s
success in onscreen graphics for easy monitoring. Anonymity is crucial, as
performance indicators supplant grades. The focus on learning is group
accomplishment of tasks, with individual contributions sent to the teacher and the
student. The environment queries the student when it doesn’t receive adequate
information and works to help students draw similar inferences that other kids
drew during similar exercises. Videos are served up to the students when they
don’t understand how to do something.

Students complete most of their projects by designing reusable e-books rich with
simulations to share their work with others, creating long-term digital portfolios to
be shared throughout the years. Teachers help students enhance screen literacy
skills by building interactive multimedia for reuse among other learning
populations worldwide. Sharing is the key objective, and working in diverse
populations is preferred.

Teachers share their activities, thoughts, and technology ideas with a virtual
team of experts in business, higher education and other institutions. A strong
focus on integrating workflow and student activities throughout the community is
enhanced by technology communication systems and easy to use large screen
displays that encourage teachers to work together in distances to align industry,
institution and schools together in real time knowledge construction and practice.
Virtual Mentors
Teachers are mentors, still using their nurturing techniques in the learning
spaces to socialize children. In addition, each child has their own virtual mentor
that can be accessed anytime. The mentor follows the children’s activities on-

4

line, suggesting new ideas and dialoguing interactively to understand the
student’s emotions and competencies. When children go on-line, the experience
is secure and private. On-line content is filtered by the virtual mentor, who
constantly reports noteworthy events to the parents, teachers and other
interested parties. Embedded assessment is constantly sent to the teacher,
parent and mentor. The virtual mentor consistently maps to performance goals
and adjusts student activities to keep kids more focused on learning rather than
relying on test taking. Parents can participate in their children’s activities
wherever they are via wireless mobile video computing and emerging
communication technologies.
Kindergarten 2020 Scenario
Alicia wakes up this morning excited about what the day will bring. Today, she
gets to meet with her discovery group. This group of students has been pre-
selected through learning traits collected by toys that she used prior to entering
kindergarten and shared with the school upon enrollment. The group has similar
interests and meets 3 days a week. Today, they are going on a virtual safari to
Africa.

Alicia likes animals a great deal and the group is going to experience how
elephant families are similar to her own. Upon entering the virtual safari, she
immediately experiences the size and weight of the elephants as they are
presented in a 3-D environment where she feels as if she could reach out and
touch them. During the safari, the virtual mentor points out how elephants are
similar to our families and how important the mother is to the survival of the
babies. Alicia gets to name one of the baby elephants and she and her teacher
send a message to her mom telling her of Alicia’s new friend.

During the day, Alicia demonstrated two acts of kindness towards another
student. She received a personalized award at the end of the day. A copy of the
award was immediately forwarded to her parents. Her dad, while traveling,
received notice on his cell phone that Alicia was recognized in school and calls
up a video interface to share his excitement with her. When Alicia arrives home
she finds balloons waiting complete with her mother’s outstretched arms.

High School – Increased Community Communication
Personalized Digital Libraries in Project Based Learning
Once children become more familiar with study and communication habits, they
need content to be served up to them even more effectively. Learning in 2020
combines the student personalization with the virtual mentor and sends the
information out to coordinated work projects designed for community learning.
Secured broadband video conferencing appears on every device, digital cameras
capture visual content, workspaces grow more complex, and collaboration tools
are linked directly to personalized digital libraries. These libraries stay with a
learner for life. Digital highlighting, digital conversations, group note-taking and
other personal annotations make the asset active throughout the individual’s life
and can be shared with colleagues at any time.

5

No longer the dusty box of papers in the basement, learners collect a kind of
“clipping service” so that a trip back through memory lane becomes an updated
re-immersion in the subject matter, a kind of academic band between learning
experiences. As students work on building a motor, for example, large screen
displays coordinate visualizations for them to work together. They see the visual
designs, on their devices and they build the motor from graphical components
that simulate what they’ll be doing in the laboratory. All their notes, their
conversations with other students, their workflow, their graphics and video
captured during their research period are all recorded and stored for student
review.
Internet in Your Ear
Since students are working more often in distributed groups, they need to be able
to get information more effectively. Students work in groups and ask questions
aloud, receiving information through earpieces that feed constant information and
personalized entertainment upon request. As the students work on an
experiment trying to figure out how electromagnetism works, for example, they
talk through their devices to ask for definitions of words, or ask for a simulation to
show them how something like Faraday’s law works. Sometimes explanations
don’t work, so calling up a simulation can help them grasp a concept better.
Once they think they understand, they apply the principle to the design and ask
for feedback from teachers and co-workers.

Teachers can listen into conversations as well, and they control input when
necessary for group messaging or for helping students stay on task. Centralized
visualized displays are constantly updated to project student progress, tasks to
be performed, and provide guided instructions for learning more about a topic
and to help with task completion. Experts are available on-line to evaluate the
engineering quality of the students’ projects. They are also available to students
when they are presenting results, so they can help them deliver their results
more effectively. If students are buying materials for their products, the
transactions are integrated into their digital financial records, approved by the
appropriate person and delivered to the laboratories immediately.
Ubiquitous Student Controlled Interfaces
Voice recognition is the standard method of both input and output, occurring
mostly outside the classroom where students spend much more time. Students
work in laboratories communicating with devices that record student interactions,
record hypothesis, previous student engagements, and direct communication
links to communities that specialize in the use of the equipment and in the history
of effective construction.

Underlying the user’s experience is a ubiquitous interface that launches content
based on what the student is working on. The interface is a 3D visual bar that
can be visually refined to map to the user’s experience. For example, if a student
begins studying Computer Science, the visual bar identifies his learning
objective, his location, his tools, his co-workers, his relevant e-mails, his

6

notifications, the videos, related lectures and text, the experiments, the
simulations, the top 10 reading lists, the polls, and the alerts for participating
class members. Underneath, likes an assessment tool that reminds the students
where to focus attention.

Students work in sophisticated visual environments deconstructing and
constructing objects on the screen allowing them to question why things work the
way they do. Imagine students using intelligent reusable visual components to
build a plane that flies, a bridge that spans a ravine, or an electronic device that
can actually be built by another team. As students work in simulated
environments with smart learning objects, they begin to understand the
underlying scientific principles, and each principle is measured and displayed to
allow students to know where they are and what they need to work on next.
Force feedback devices provide input that simulates real world instrumentation.
Students develop a reason to learn math, and they enhance their communication
skills by documenting and annotating their work for review by others.
Learning Style Adaptation
As students work in collaborative environments, the learning objects adapt
immediately to their learning styles in 2020. The tools model the user throughout
their learning career. It maps their preexisting knowledge to the kinds of learning
objects that are useful to them for rapid learning, much like the toys they used as
preschoolers. Now, in this stage of their learning careers, their emotional
responses are being tracked to help them refine their ability to interact even more
effectively with others.

So many automated processes have been built in for them: inquiry style, learning
style, personalized activity selection, multimedia preferences, physical
requirements, and favourite hardware devices. For example, if the student is in
research mode, natural dialogue inquiry and social filtering tools configure a
working environment for asking questions and validating hypotheses. If students
like rich multimedia and are working in astronomy, they automatically connected
to the Sky Server which access all the telescopic pictures of the stars, introduces
an on-line expert talking about the individual constellations, and pulls up a
chatting environment with other students who are looking at the same
environment.

If the student is struggling with a concept, the intelligent tutoring services turn on
automatically. If the student needs to practice a psychomotor skill or is restricted
because of physical limitations, hardware devices are immediately recommended
to assist the student, and locations at various schools nearby are identified for
the student to use the equipment. If the student is having difficulty with complex
processes or principles either assisted or augmented reality is initiated and the
student jumps into a virtual world scenario that gives them an enhanced
perspective of the problem and allows them to play the actor solving problems.
This is especially useful in engineering and scientific solutions because they also
reveal the math behind the phenomena, giving the student real world examples,

7

with the theoretical supporting math. Discovering the visualizations of math can
be highly contagious.

High School 2020 Scenario
Eddy’s day starts when his Internet earring goes off at 6:30 with his favorite
music playing. He wakes up, and sees his schedule for the day on his wall
screen. He notices that he has early lunch today so he makes sure to bring a
snack along with him. After getting ready, Eddy returns to grab his learning tablet
and notices that he has received a bus alert with an exact GPS location. His bus
is running 15 minutes late so he has some extra time to get ready. He tells his
virtual mentor to identify his daily learning packet that he has received from
school which contains all of his work projects, meetings and notes for the day.
They are read to Eddy via voice in his earring.

Eddy has team deliverables due to be presented in his first class period. He
will review the presentation with his team through his two way video tablet on the
way to school. He compares his schedule to his teacher’s schedule and picks a
time he can log in for the remote meeting for a 1 on 1. His calendar is
automatically updated with the new appointment and a message is sent to all the
team members, including the teacher. Eddy’s virtual mentor checks the bus
online and announces to Eddy that it is just turning down his street. He gathers
his tablet and his gym bag and heads out the door.

Upon entering the bus, Eddy’s clothes scan his student number and the
school is immediately notified that he has made the bus and will be conferencing
in en route. Eddy arrives to school 15 minutes late, but has been in constant
communication with his team going over last minute details for the presentation
and they’re good to go. His music comes up and he listens to his favorite song as
he walks across campus. He arrives and joins the project team who are
reviewing details about the Persian Gulf War that are relevant to Eddy’s school
mates in Egypt on this project. Eddy reviews a vision of the history of the
discussion and watches as personalized information puts the discussion into
context for him. A set of questions are automatically configured for him to review
and a green light goes on indicating it’s his turn to engage.

An alert appears on his tablet right before the end of the period, reminding
him that he is to meet his science team outside today. Today in science, Eddy is
completing his personalized learning project. This project was designed
especially for Eddy’s learning style and allows him to use an observation-based
instructional process. While outside, Eddy works on the effects of light on plants,
using his virtual biosphere to experiment. He collects real-time data from various
laboratories throughout the world, helping him manage his unique ecosystem.

He begins a dialogue with plant specialists whom he encountered over the
Internet. The software recognizes that Eddy struggles with some terminology as
his interaction rate seems too low. His questions don’t seem to map directly to

8

the content. His virtual mentor immediately provides support resources and
appears on his screen ready to show and tell. The virtual mentor asks Eddy
some questions and explains some of the concepts that he is having trouble with.
After finishing the tutoring session, Eddy submits his project for team review
again and receives an A, the standard grade of all high school students.

Eddy heads to the cafeteria where he picks up his pre-ordered lunch and
debits his student account. After lunch, Eddy has 3 more projects to check in on
and then a free period. During his free period, Eddy has signed up to learn
Chinese from a school in Beijing. Eddy signs in to the course and begins talking
to his classmates via embedded cameras and a virtual interface for picking
objects up. Students walk through the video/virtual city talking and discussing the
environment around them. When Eddy doesn’t pronounce his words right, a
voice monitor appears and shows Eddy the right lip and tongue movements. He
repeats and one of his virtual classmates tells him “most excellent”.

After school is over, Eddy has basketball practice. Eddy’s basketball is
hooked to sensors that monitor the pressure on the ball, his trajectory and his
travel speed before he makes a shot. During his bench time, his video glasses
show him professionals making shots and highlights past games that he has
played that he reviews during his next warm up. Eddy receives an alert that his
mother has to work late today and that she’s arranged for Eddy to go home with
another mom, whose virtual mentor leaves Eddy a message, a picture of the car,
and a time she’ll meet him at a GPS designated location. Eddy arrives home
after practice and calls his girlfriend. His snack is awaiting him in the refrigerator,
calories, carbs and protein all listed in his personal health indicator. Eddy spends
the rest of his event going over movie reviews with his girlfriend for their weekend
date.

College and Lifelong Learning
College has changed a lot in twenty years, as college students work more often
with industry partners, co-working on projects. College has benefited from
improving the learning process over twenty years and students are ready to take
on much more sophisticated experience working on their own rather than sitting
in classes listening to lectures. They are more responsible for finding a person to
work with to create solutions to real world problems. Industry and non-profit
community organizations are excited about working with students as they share
their workloads and help prepare students to gain work experience. Similarly,
industry workers who want to learn more about various topics are happy to join
teams of eager students with great ideas.

Scholastic reputation management might begin at the high school level, but it
gets serious in college. Students study broader and deeper and require much
more concentration and time on applying learning. All the tools for
personalization, collaborating, communicating, and building are still available.
The dominant technologies revolve around great visualization and
programmability, laboratory tools, project management and ubiquity of tool

9

access. Students are required to attend only the right lectures and can receive
them in their ear or watch them on 2-way interactive video tablets; in addition,
they utilize immersive visual environments in which they work on long term
projects with customers who are actually working citizens.

Student projects are monitored with real time assessment monitors that map to
the workflow metrics in the companies. Students are evaluated by their
successful deliverables, their timeliness, their ability to work on teams, and their
communication styles that have been monitored in process. Virtual mentors
continuously adapt student interactions with their lifelong digital profiles, and map
the effectiveness of their contributions to published company goals. Industry
takes careful steps to identify recruiting requirements and detailed reports are
shared between institutions to ensure student learning and return on investment.
Super Simulations and Sensors
Simulation technologies and powerful sensor technologies provide scaleable
models for engaging in the learning by doing. Simulations allow students the
opportunity to build integrated environments with objects in one environment that
serve similar purposes in another environment. This level of programmability
across multiple visual environments is the metric for successful development. As
students move from the visual world to the real world, sensors in laboratories
provide students with feedback as they reconstruct and deconstruct various
objects in real time, with real materials. The laboratory environment becomes
ubiquitous, and students spend the majority of their time working on projects.
Intelligent Laboratory Objects
Embedded technology now designs learning into any object used in education.
Students receive physical components that instruct the student how to design,
test, and connect them together. Students build robots frequently to perform
various functions to prove their concepts. If the student fails to create a solution,
he automatically remediates to a visual environment for practice and better
visualization of key concepts. If the student still struggles with the content and
actions, he is sent back to the original set of instruction and exercises through an
on-line video conferencing environment. Internet based laboratories are the norm
where students are able to run laboratory experiments wherever they find them,
meaning that not all schools don’t have to budget to build exactly the same
capabilities. Instrumentation is managed remotely and students work together in
laboratory groups to learn how to use equipment effectively.
Project Management
Students write more software in 2020, not least because all scientific disciplines
require increasing amounts of computing sophistication. So, they must be taught
to identify opportunities and customers, manage their requirements, provide
effective documentation, and manage source code, release management, testing
and usability. Students manage several projects with outside customers through
internet interfaces, virtual conferences, and shared workspaces. Task analysis
software is personalized and everyone who is responsible for an action item is
automatically notified, as well as all the related collaborators. Voice technology

10

eases communication as students wear technology in their clothing allowing
them to access both content and people wherever they are. Students are finally
getting a grip on how to program software, teach programming to their co-
workers or team members, and manage software projects.
Higher Education 2020 Scenario
Sumi wakes up in the morning, talks to her visual display on the wall and her
virtual mentor brings up a visualized schedule for the day. Sumi has a
videoconference meeting with her advisor at 10:00 and an economics project
review to log into at 10:30. She logs into her project review venue from her room
at 10:30. As the team leader (in this case the professor) moves from one key
concept to the next, a Q&A session appears on the screen to check to see if
Sumi understands the concepts.

The video session pauses as Sumi answers the questions, messaging to her
co-workers for clarification. Sumi is struggling with one concept and her virtual
mentor appears with more detail and a short video that was served up on the
topic. The virtual mentor knows that Sumi is a visual learner and responds better
to video with examples. After further explanation and follow-up questions, Sumi
is still struggling with the topic, so a teaching assistant is notified and
automatically schedules a meeting to help Sumi understand the material.

After 10-15 minutes Sumi renters the video conferencing meeting. The
system summarizes the key points that she missed real time, including all
student questions. She pauses the video and submits a question and a series of
discussions return on topic. The answer she is looking for comes from one of the
industry members that she has worked with before. She returns to the video.
The session ends at 12:00 and Sumi heads over to campus for a lunch meeting.

As she bikes over to the restaurant, an audio notification sounds from a chip
in her sun hat. The Health Sciences department announces a blood drive, and
she sends a voice command signing her up for it. Her online schedule is
automatically updated for a future reminder. Sumi eats lunch with a couple of
friends, and conducts a virtual meeting with classmates in her Urban Planning
project team. She’s promised herself not to multitask like this when she’s with
friends, but she’s got a deadline and it can’t be helped. Sigh! Time is still the
currency of the 21st century.

Her virtual project manager, a professional urban planner from a local firm,
sends her great feedback on their combined project, including customer notes, a
marketing video and graphical simulator showing the park improvements in the
new housing development she’s been working on. All of the voice commands she
sends to the project manager are automatically logged and distributed to her co-
workers.

Architecture class begins at 1:30 and Sumi attends in person as they are
handling real building materials today. 3-D simulation software is provided at a
study kiosk that allows Sumi to tweak her design and model and experiment with

11

different physical materials before spending time in the studio. She finds the
name of a materials expert in her ubiquitous working interfaces, asks a quick
reference question, makes a change to her virtual design and sends the list of
materials to the studio. To help herself prepare, Sumi calls up previous projects
through her course interface and reviews comments from her instructors, both in
ink-written format and through personalized video feedback. She’s such an
overachiever. Some things never change.
Lifelong Learner 2020 Scenario
Caramela registers for an advanced circuit board design course. She’s having
a problem in her response time and needs to learn more about crystallography.
Based on her learning requirements and the course objectives, personalized
academic material is downloaded into Caramela’s choice of form factors (one for
the car, one for reading on her tablet, one for her graphical environment). Her
wallet receives the transaction receipts and her expense reports automatically
reports to her company and the bill is paid instantly.

A mandatory session on campus is available via teleconference, and although
Caramela is on her way to the airport at the time, the session is recorded and
sent to her wireless audio device which she’ll interact with on the plane. As she
reviews and interacts with the material, she watches information automatically
populate into her assessment monitor that she filled out with information on why
she’s taking this course. She identifies which content is useful to her, examines
the auto-generated goal maps and aligns the information with her current
projects. An e-mail is automatically generated for her to send to her co-workers,
customers and teacher to update them on new ideas she has that could be
related.

A notification from her instructor arrives on her cell phone with a reminder of
the first online project he wants to discuss. Along with it come a research project
outline, suggested contacts, and an analysis of how her current project that she
identified as the reason to take the class relates to this project. The instructor
reviews her task list and makes a few suggestions on how to work best with her
virtual team.

A couple of days later, Caramela returns from Chicago and emails her boss
with some suggestions for a decrease in resources for their project. She’s figured
out a clever way to solve one of their problems as a result of the first course
interaction and evaluation of workflow for the project. She’s seeing results
already, cool! She decides to take a Q&A exercise to see how to best move
through the rest of the material rather than watch the movie. She decides to work
together with a couple of colleagues, who always share information on the topic
she’s reviewing. She returns home and spends the weekend with the kids.

Two Mondays later, she discovered that she did so well on the timed exam
that the assessment tool suggests to her, the instructor and her colleagues, that
she should probably move on to another interaction level. Caramela is quickly

12

able to advance to a simulated work experience via shared applications from a
real-world 3-dimensional toolset accessible from her laptop. It’s a lot easier to
work on something you can see, she thinks to herself. She starts to take apart
the virtual circuit board she’s been working on, and the 3D environment explains
what functionality has been eliminated. She inserts a new chipset that she
programmed from working on her project in class, and the circuit board reflects
much faster response time. She is enjoying this first week of her semiconductor
course.

In only the first week of her online class, Caramela has already demonstrated
a level of skill to advance her to reach her career potential through a fully
customized learning experience—accessible at her personal convenience and
choice of device, personalized level of learning, and length of time to complete.
She thinks she’ll sign up for another.

Acknowledgements
I’d like to thank Bill Gates for writing the introduction to this vision piece
reminding the readers that it takes more than technology to change education.
The contributions of our General Manager from the Educational Solutions Group,
Sherri Bealkowski, helped gel the industry perspective. Mary Cullinare, from the
same group, provided the down to earth scenarios bringing the vision to life.
Suze Woolf from the Strategic Technology Demonstrations group added her
passion to make sure the teacher’s side of the story got included and made sure
that we kept our feet on solid ground. Several reviewers: Jeff Baxter from
University Relations, Ed Lazowska from the University of Washington, Andy Van
Dam from Brown University provided priceless pearls of wisdom. And, the
gratitude would not be complete without the formatting from Jack Davis.

Author’s Background
Randy Hinrichs is Microsoft Research’s Group Research Manager for Learning
Science and Technology. He manages a large scale Learning Science and
Technology research project at MIT called iCampus, and runs a team of research
developers who are building a .NET based learning research platform called the
Learning Experience Project that is taking advantage of emerging technologies
such as Internet2, multicast videoconferencing, wireless TabletPCs, gaming
technology, web services and embedded technology. He is Microsoft’s industry
board member on the Accreditation Board for Engineering and Technology, IEEE
Learning Task Force, the National Science Foundation’s Corporate Foundation
Alliance, ACM’s eLearning Board, the American Society of Engineering
Education and the International Network of Engineering Education and
Research. He is one of the pioneers and a board member of the Learning
Federation, a consortium of industry, government and universities focused on an
international research agenda for LST.

He has been working as an educational technologist researcher for 25 years. He
wrote two ground breaking books on using the web for education: Web Page

13

Design: A Different Multimedia (cognitive and interactivity design), and Intranets:
What's the Bottom Line (creating learning organizations with intranet technology).
He has testified before Congress for the Web Based Education Commission,
participated in the PITAC Subcommittee on Learning. He frequently keynotes at
many international web education conferences and continues to appear in many
articles both as an intranet strategist and visionary on the web in education. His
penchant is simulation-based technologies that enable activity based learning.
His lifelong passion is to help teachers and students effectively use technology in
education to enhance their learning.

14

Microsoft En

More Related Content

What's hot (15)

Similar to Microsoft En (20)

Microsoft En