The document summarizes the results of a survey on the use of adaptive learning technology in K-12 education which found that 40% of respondents reported using adaptive learning software, with the top grades being 3-5, and that while educators saw benefits like personalized learning, there were also challenges around technology infrastructure and aligning software with pedagogical approaches.
Adaptive Learning – the application of computer science, big data and machine learning techniques, combined with state-of-the-art pedagogy – has enabled the creation of new learning systems that adapt to the needs of each and every learner. Adaptive learning creates at scale – and at low cost – the experience of a personal tutor, guaranteeing proficiency while dramatically reducing time spent learning, returning thousands of hours of productive time back to the business.
Fortunately, it is easy to make the move to adaptive learning. In this session, we explore what is adaptive learning, how it works and the benefits of transforming your learner experience for the business, the learner and the training function.
The presentation is brief presentation which requires elaboration as per users experience and need of the students. It is about how ict can be integrated in education, what are general online and offline tools which can be used.
Adaptive Learning – the application of computer science, big data and machine learning techniques, combined with state-of-the-art pedagogy – has enabled the creation of new learning systems that adapt to the needs of each and every learner. Adaptive learning creates at scale – and at low cost – the experience of a personal tutor, guaranteeing proficiency while dramatically reducing time spent learning, returning thousands of hours of productive time back to the business.
Fortunately, it is easy to make the move to adaptive learning. In this session, we explore what is adaptive learning, how it works and the benefits of transforming your learner experience for the business, the learner and the training function.
The presentation is brief presentation which requires elaboration as per users experience and need of the students. It is about how ict can be integrated in education, what are general online and offline tools which can be used.
model of curriculum develpoment by willes and bondi. although it is very difficult to find this model in google any way i got it so sharing with you . hape u like it
Open, Distance and eLearning in India: Status and TrendsCEMCA
Presentation on 22 September 2013 at the National Conference on Higher Education: Emerging trends organised by Raj Bhawan, Bihar. (uses some slides from other other sources)
we need new techniques foe teaching and learning. our life is changing its own way so methods of learning should be changed accordingly. here author has focused on blending of class room learning and on line learning; its called blended learning. its very useful for innovative teacher and students.
Meaning and Definition of Mobile Technologies – Use of Smart Phones in learning – Smart Phones in Schools, Colleges and Universities – Smart Phones in Open Schools, Colleges and Universities – Mobile Phones in Distance Learning.
Presentation given by Rebecca Ferguson at the ORT University Institute of Education, Montevideo, Uruguay on 12 April 2016. It deals with the Innovating Pedagogy reports produced annually since 2012 by the Institute of Educational Technology (IET) at The Open University (OU).
Defining Adaptive Learning Technology: What it is, how it works, and why it’s...DreamBox Learning
As online learning opportunities expand and blended learning models continue to evolve, it's critical to ensure education remains student-centered and focused on key learning goals. Whether students are in the classroom or using technology, it’s important for all of them to receive personalized, differentiated support as they learn. The use of "adaptive" learning technology is increasing as a way to improve the differentiation and personalization of learning for each unique student.
Attend this web seminar to learn from an experienced public educator, curriculum leader, and digital learning designer. Participants will hear about recent trends in adaptive learning, the pedagogical implications of adaptive technologies, and how digital experiences can empower students to think independently, receive specific feedback, and self-direct their learning
Every math educator has seen first-hand evidence that student understanding of mathematics is far from where we’d like it to be. And in the world of EdTech, educators have seen the term “adaptive learning” become increasingly popular as companies try to support student learning in mathematics with new technologies. In this kickoff webinar to launch the new Adaptive Math Learning community on edWeb.net, Dr. Tim Hudson, Senior Director of Curriculum Design of DreamBox Learning provided an overview of learning, mathematics, and adaptive technologies — and ways to separate hype from reality.
To join the Adaptive Math Learning community, all you need is a passion for ensuring the success of all students, an interest in understanding more about learning technologies, and a healthy dose of skepticism. Ultimately, the quality of digital learning is just as important as the quality of classroom learning. Both need to be adaptive. Tim explored what his hopes and aspirations are for the successful learning and math education of all students in the 21st century (or any century). He also discussed how to distinguish between hype, hope, and reality when considering the strengths and limitations of educational technologies and adaptive math technologies. View the webinar and learn what you can expect to gain from this new Adaptive Math Learning community.
model of curriculum develpoment by willes and bondi. although it is very difficult to find this model in google any way i got it so sharing with you . hape u like it
Open, Distance and eLearning in India: Status and TrendsCEMCA
Presentation on 22 September 2013 at the National Conference on Higher Education: Emerging trends organised by Raj Bhawan, Bihar. (uses some slides from other other sources)
we need new techniques foe teaching and learning. our life is changing its own way so methods of learning should be changed accordingly. here author has focused on blending of class room learning and on line learning; its called blended learning. its very useful for innovative teacher and students.
Meaning and Definition of Mobile Technologies – Use of Smart Phones in learning – Smart Phones in Schools, Colleges and Universities – Smart Phones in Open Schools, Colleges and Universities – Mobile Phones in Distance Learning.
Presentation given by Rebecca Ferguson at the ORT University Institute of Education, Montevideo, Uruguay on 12 April 2016. It deals with the Innovating Pedagogy reports produced annually since 2012 by the Institute of Educational Technology (IET) at The Open University (OU).
Defining Adaptive Learning Technology: What it is, how it works, and why it’s...DreamBox Learning
As online learning opportunities expand and blended learning models continue to evolve, it's critical to ensure education remains student-centered and focused on key learning goals. Whether students are in the classroom or using technology, it’s important for all of them to receive personalized, differentiated support as they learn. The use of "adaptive" learning technology is increasing as a way to improve the differentiation and personalization of learning for each unique student.
Attend this web seminar to learn from an experienced public educator, curriculum leader, and digital learning designer. Participants will hear about recent trends in adaptive learning, the pedagogical implications of adaptive technologies, and how digital experiences can empower students to think independently, receive specific feedback, and self-direct their learning
Every math educator has seen first-hand evidence that student understanding of mathematics is far from where we’d like it to be. And in the world of EdTech, educators have seen the term “adaptive learning” become increasingly popular as companies try to support student learning in mathematics with new technologies. In this kickoff webinar to launch the new Adaptive Math Learning community on edWeb.net, Dr. Tim Hudson, Senior Director of Curriculum Design of DreamBox Learning provided an overview of learning, mathematics, and adaptive technologies — and ways to separate hype from reality.
To join the Adaptive Math Learning community, all you need is a passion for ensuring the success of all students, an interest in understanding more about learning technologies, and a healthy dose of skepticism. Ultimately, the quality of digital learning is just as important as the quality of classroom learning. Both need to be adaptive. Tim explored what his hopes and aspirations are for the successful learning and math education of all students in the 21st century (or any century). He also discussed how to distinguish between hype, hope, and reality when considering the strengths and limitations of educational technologies and adaptive math technologies. View the webinar and learn what you can expect to gain from this new Adaptive Math Learning community.
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In this webinar, Dr. Tim Hudson shares insights about leveraging technology to improve student learning. At a time when schools are exploring “flipped” and “blended” learning models, it’s important to deeply understand how to design effective learning experiences, curriculum, and differentiation approaches. The quality of students’ digital learning experiences is just as important as the quality of their educational experiences inside the classroom. Having worked for over 10 years in public education as a teacher and administrator, Dr. Hudson has worked with students, parents, and teachers to improve learning outcomes for all students. As Curriculum Director at DreamBox Learning, he provides an overview of Intelligent Adaptive Learning, a next generation technology available to schools that uses sound pedagogy to tailor learning to each student’s unique needs. This webinar focuses on how administrators and teachers can make true differentiation a reality by focusing on learning goals and strategic use of technology.
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Computers are a familiar sight in classrooms in the 21st century, and technology has been used to streamline many educational tasks. CAL started in the 1950s and 1960s mainly in USA. Term often used interchangeably with Computer-Based Instruction (CBI), Web Based Instruction (WBI), Computer-Assisted Learning (CAL), Computer-Enriched Instruction (CEI), and Web Based Training (WBT). Logo project was the first CAL system that was based on a specific learning approach.
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Walk this Way! Active Learning Strategies for Math Instruction:
To promote student learning and engagement in an active learning environment, and make math more meaningful, hands-on activities can be incorporated into the traditional lectures. The presenter shared some active learning strategies and activities to be incorporated into the math classrooms to promote student engagement and learning.
Presentation from a flipped summer classroom workshop held during May and June 2014 for Arts & Science Faculty at CU Boulder.
Workshop was presented by ASSETT - Arts & Science Support of Education Through Technology.
Similar to Defining Adaptive Learning Technology (20)
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Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
1. Adaptive Learning Technology:
What it is, how it works, and
why it‟s being used
Tim Hudson, PhD
Senior Director of Curriculum Design
DreamBox Learning
@DocHudsonMath
December 3, 2013
2. Session Overview
• Share results of the first K-12 survey to focus
exclusively on adaptive learning technology
• Define characteristics of adaptive learning
• Examine the pedagogical implications of
adaptive technologies
• Consider how digital experiences can empower
students to think independently, receive specific
feedback, and self-direct their learning.
3. Survey Goals
• Determine how many educators are currently
using programs they believe to be adaptive
• Assess the general understanding and
perception of adaptive learning technology by
professionals considering ed-tech products
• Clear up confusion about level of adaptivity in
available learning programs
Note: Survey conducted by Tech & Learning
(www.techlearning.com) and commissioned by DreamBox
Learning
4. Survey Definition
―Adaptive learning systems are softwarebased technologies that automatically
customize curriculum to the knowledge level
of the learner. The algorithms actively track
and access student performance to provide
feedback to the teacher and student about
the student‘s progress on an ongoing basis.‖
6. Logistical Classroom Reality
March 1:
Long
Division
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Division
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Division
March 1:
Long
Division
March 1:
Long
Division
March 1:
Long
Division
7. If teachers could work 1-1 with ALL…
Decimal
Long
Division
Basic
Multiplication
Requires More:
• Assessments
• Time for Testing
• Time for Scoring
• Data
• Content Knowledge
• Resources
Step-by-Step
Scaffolding
Partial
Quotients
Fraction
Division
9. Survey Respondents
• 3,000 educators, technology
directors, administrators
• 2/3 are in public school systems
• 40% reported using adaptive learning
software (1,200 users)
15. Perceived ‘Bugs’
Value
Too much screen time for students
Doesn’t engage students
Teachers have too little control
Not aligned with Common Core
Not rigorous enough
Other
Count
219
210
202
132
102
287
Percentage
26.32%
25.24%
24.28%
15.87%
12.26%
34.50%
16. Type of ‘Adaptivity’
Value
Linear lesson sequence and assessment preand post- lesson
Real-time and continuous adaptivity
(instantaneously within and between lessons)
Recommending lessons after direct
instruction.
Other
Count
Percentage
403
43.71%
344
37.31%
126
13.67%
49
5.31%
17. Most Important Aspect?
Rank Average
8.94
8.04
7.89
6.65
Feature
Real-time & continuous adaptivity
(instantaneously within & between lessons)
Recommending lessons after direct
instruction
Linear lesson sequence & assessment preand post-lesson
Other
18. Obstacles or Challenges
Value
Lack sufficient budget
Don’t have necessary tech infrastructure
We’ve tried software before & it didn’t help
Don’t philosophically agree with use of tech
or learning software
Other
Count
950
Percentage
55.43%
443
25.85%
51
2.98%
39
2.28%
624
36.41%
19. The “Other” Challenges
Value
Lack of information or awareness
Can’t give a reason/don’t know
Not ready
Don’t want
Investigating it now
Count
155
114
73
48
47
Percentage
25.29%
18.60%
11.91%
7.83%
7.67%
21. Confusion about „Adaptive‟
Programs have elements of adaptive
learning but are not fully adaptive:
•
•
•
•
Adaptive testing only
Assessment only
Test prep only
Differentiation depends on teacher
assignment of content
• Pedagogical understanding
24. Learning Requires Adaptivity
―…pay close attention to the
individual progress of each
student and devise tasks that
are appropriate…‖
―Present students with ‗just
manageable difficulties‘ – that
is, challenging enough to
maintain engagement, but not
so difficult as to lead to
discouragement.‖
p. 24
Bransford, J.D., Brown, A.L., & Cocking, R.R. (Eds.). (2000). How people learn: Brain, mind, experience, and school (2nd ed.). Washington, D.C.: National Academy Press.
25. Learning Requires Feedback
―…assessments should
provide students with
opportunities to revise and
improve their thinking, help
students see their own
progress over [time], and
help teachers identify
problems that need to be
remedied.‖
p. 25
Bransford, J.D., Brown, A.L., & Cocking, R.R. (Eds.). (2000). How people learn: Brain, mind, experience, and school (2nd ed.). Washington, D.C.: National Academy Press.
30. Adaptivity Alone Doesn‟t Result
in Learning & Understanding
Math
Packet
2
Math
Packet
3
Math
Packet
4
Math
Math
Packet
Packet Math
1
2 Packet
3
Math
Packet
3
Math
Packet
8
Math
Packet
7
Will County, Illinois One-Room Schoolhouse, http://polarbearstale.blogspot.com/
32. “Adaptivity” as “Behavior Reinforcement”
• Conditioning the mind to
remember information using
tiny, incremental skill steps given
to students in repetitive feedback
loops
http://teorije-ucenja.zesoi.fer.hr/doku.php?id=instructional_design:programmed_instruction
38. Common Teaching Cycle
Whole
Class or
Small
Group
Instruction
Use Data
Summatively
Guided
Practice
Use Data
Formatively
to Plan
Whole
Class
Assessment
39. Teaching as Content Delivery
Whole
Class or
Small
Group
Instruction
Use Data
Summatively
Guided
Practice
Use Data
Formatively
to Plan
Whole
Class
Assessment
40. Instruction
Let Me
Show You
How To Do
X
Now You
Go Do
X
Maybe You
Need to Be
Shown X
Again
You Know
X
Can You
Independently
Do
X?
41. Who is doing the thinking?
Let Me
Show You
How To Do
X
Now You
Go Do
X
Maybe You
Need to Be
Shown X
Again
You Know
X
Can You
Independently
Do
X?
45. Digital Content Delivery
Explicit
Input, Video
Lecture,
Textbook
Reading,
Record it in
the
Gradebook
Dependent
Practice, Ho
mework, W
orksheet
Independent
Mistakes on
the Quiz or
Test
Practice,
Quiz,
Test
46. No Pedagogical Change
Explicit
Input, Video
Lecture, Textbo
ok Reading,
Record it in
the
Gradebook
Dependent
Practice,
Homework,
Worksheet
Independent
Mistakes on the
Quiz or Test
Practice,
Quiz,
Test
47. Massive Open Online Course (MOOC)
―Each MOOC varies in content, requirements,
prerequisites and length, Tarte said. Some will
contain video lectures, some might have
selected readings, and some courses provide
quizzes periodically so students can test their
understanding of the material.‖
High School to Offer College Courses Online
www.emissourian.com, November 27, 2013
48. Curse of the Familiar
―You, hungry entrepreneur…are going
to take some familiar feature of
classroom experience – the textbook,
the flashcard, the lecture, the
worksheet, the sticker, the behavior
chart – and you will digitize that
feature.‖
-Justin Reich on EdWeek
November 20, 2013
http://blogs.edweek.org/edweek/edtechresearcher/2013/11/edtech_start-ups_and_the_curse_of_the_familar.html
49. School & Home Work
At School:
Explicit
Instruction &
Problem
Solving
Use Data
Summatively
At Home:
Practice
Problems
Maybe you
need to be
shown X
again
Whole
Class
Assessment
52. Common “Adaptive” Design
Explicit Input,
Video Lecture,
Textbook Reading,
Data inform
the Adaptive
Engine
Dependent
Practice, ―Workshe
et‖ Problems
Mistakes on the
Quiz or Test Items
Digitized
Quiz/Test
Items
53. Curse of the Familiar
―If our problems are mere inefficiencies
– if we need students doing basically
exactly what they've been doing before
but faster – then the gambit of building
apps that mirror typical classroom
practices will work out great.‖
-Justin Reich on EdWeek
November 20, 2013
http://blogs.edweek.org/edweek/edtechresearcher/2013/11/edtech_start-ups_and_the_curse_of_the_familar.html
54. Curse of the Familiar
―If you think that the problems in
classrooms are not just about kids
doing things a little faster, but doing
different things than is current
practice, then you need to build things
that will be unfamiliar.‖
-Justin Reich on EdWeek
November 20, 2013
http://blogs.edweek.org/edweek/edtechresearcher/2013/11/edtech_start-ups_and_the_curse_of_the_familar.html
55. SAMR Model by Dr. Ruben R. Puentedura, www.hippasus.com/rrweblog
56. Active and Passive
"The old teaching method — you know, where a
teacher says something and you write it down and
then take a test — that's about as passive as it
gets… This idea pushes kids to be more actively
involved since, by and large, it's something we're
both learning together. That leads to a lot of
innovative teaching — and a lot of innovative
learning, for that matter.‖
―Coding in the Curriculum‖ September 2013
http://mashable.com/2013/09/22/coding-curriculum
58. DreamBox Approach to Adaptive
Student‘s
Own
Ideas &
Intuition
Engage with
& Make
Sense of a
Situation or
Context
Engine
Adapts &
Differentiates
Student
Independently
Transfers
―Offline,‖ Too
Specific, In
stant, Cust
om
Feedback
59. Engineered for Realizations
Student‘s
Own
Ideas &
Intuition
Engage with
& Make
Sense of a
Situation or
Context
Engine
Adapts &
Differentiates
Student
Independently
Transfers
―Offline,‖ Too
Specific,
Instant,
Custom
Feedback
60. Don‟t Start by Telling
―Providing students with opportunities
to first grapple with specific information
relevant to a topic has been shown to
create a ‗time for telling‘ that enables
them to learn much more from an
organizing lecture.‖
How People Learn, p. 58
62. “Unfamiliar” Print Resource
Contexts for Learning
• Cathy Fosnot & Colleagues
• ―10 day‖ Units based on 1 or 2
contexts per unit
• Building a mathematical
community
• Young Mathematicians at Work
64. Dewey, 1916
Democracy & Education
Chapter 12: Thinking in Education
―…thinking is the method of an
educative experience. The essentials
of method are therefore identical with
the essentials of reflection.‖
Democracy and Education: an Introduction to the Philosophy of Education, J. Dewey, 1916
65. Dewey, 1916
―First that the pupil have a genuine situation of
experience—that there be a continuous activity in which
he is interested for its own sake.‖
Field trip + Lunch = Interest
Democracy and Education: an Introduction to the Philosophy of Education, J. Dewey, 1916
66. Dewey, 1916
―Secondly, that a genuine problem develop within this
situation as a stimulus to thought.‖
Is it fair?
Democracy and Education: an Introduction to the Philosophy of Education, J. Dewey, 1916
67. Dewey, 1916
―Third, that he possess the information and make the
observations needed to deal with it.‖
Time for sense-making, modeling,
manipulatives, & conversation
Democracy and Education: an Introduction to the Philosophy of Education, J. Dewey, 1916
68. Dewey, 1916
―Fourth, that suggested solutions occur to him which he
shall be responsible for developing in an orderly way.‖
How do we know when something
“occurs” to a student?
5th grader in intervention: “So it
looks like a half of a fifth is a tenth.
That‟s easy!”
Democracy and Education: an Introduction to the Philosophy of Education, J. Dewey, 1916
69. Dewey, 1916
―Fifth, that he have opportunity and occasion to test his
ideas by application, to make their meaning clear and to
discover for himself their validity.‖
Convince yourself through inquiry,
exploration, feedback
Democracy and Education: an Introduction to the Philosophy of Education, J. Dewey, 1916
74. Fully Adaptive Learning
Program Characteristics
• Content engages & motivates students
• Continual & ongoing assessment that
differentiates uniquely with varying
scaffolds
• Personalized learning path within and
between lessons in real time
• Student performance data immediately
available to teachers
75. Truly Adaptive Learning
Technology requires
dynamic content be built
from the ground up to
invite, analyze and respond
to initial conceptions.
76. Real-Time Formative Assessment
What incorrect answers would we expect on a
problem like 29 + 62?
19 Student adds all four digits
33 Student believes this is a subtraction problem
81 Student does not regroup to the tens place
92 Arithmetic error in ones place
811 Student adds each column independently
2962 Student combines digits
•
•
•
•
How would you ―score‖ each error?
How would you respond to each error?
What lesson(s) need to come before & after?
Which of these errors are ―naturally occurring?‖
79. Angle Measurement – Common Core
4.MD.6
Measure angles in whole-number degrees using a
protractor. Sketch angles of specified measure.
4.MD.7
Recognize angle measure as additive. When an angle is
decomposed into non-overlapping parts, the angle
measure of the whole is the sum of the angle measures
of the parts. Solve addition and subtraction problems to
find unknown angles on a diagram in real world and
mathematical problems, e.g., by using an equation with a
symbol for the unknown angle measure.
80. Digital Substitution
When an angle is decomposed
into non-overlapping parts, the
angle measure of the whole is
the sum of the angle measures
of the parts.
81. Angle Measurement – Common Core
4.MD.5a
An angle is measured with reference to a circle with its
center at the common endpoint of the rays, by
considering the fraction of the circular arc between the
points where the two rays intersect the circle. An angle
that turns through 1/360 of a circle is called a ―onedegree angle,‖ and can be used to measure angles.
4.MD.5b
An angle that turns through n one-degree angles is said to
have an angle measure of n degrees.
82. Angle Measurement – Common Core
4.MD.5a
An angle is measured with reference to a circle with its
center at the common endpoint of the rays, by
considering the fraction of the circular arc between the
points where the two rays intersect the circle. An angle
that turns through 1/360 of a circle is called a ―onedegree angle,‖ and can be used to measure angles.
4.MD.5b
An angle that turns through n one-degree angles is said to
have an angle measure of n degrees.
88. Instruction
Learning
Experience
―Let me explain how a
mathematician
thinks.‖
―As you independently
solve this problem,
you‘ll be thinking like
a mathematician.‖
―I‘ve shown you the
mathematical
structure.
Now go use it.‖
―On your own, you‘ll
need to look for the
structure. And find it.
Then use it.‖
92. DreamBox Lessons & Virtual Manipulatives
Intelligently adapt & individualize
to:
•Students’ own intuitive strategies
•Kinds of mistakes
•Efficiency of strategy
•Scaffolding needed
•Response time
95. DreamBox supports small group and whole
class instructional resources
• Interactive white-board teacher lessons
www.dreambox.com/teachertools
• Tutorials for virtual manipulatives
• Concept video introductions
The concept of adaptive learning has been with us for a long time. The idea that interactive technology could function as an electronic tutor helping students achieve greater content knowledge at their own pace has been the basis of a number of adaptive approaches to instruction. Typically, a teacher would give students a diagnostic test and then assign a course of instruction and then reassess the student to determine progress. Now, emerging educational technology is proving that personalized student assessment and instruction can be successfully delivered on an ongoing basis aligned with learning standards and desired outcomes. This is particularly important in K-12 education where the goal is to deliver personalized and differentiated learning to every student.
The primary goals of the survey were to determine how many educators are currently using programs they believe are adaptive and to assess the general understanding and perception of adaptive learning by ed tech buyers. What we found was some confusion and disagreement about the level of adaptivity available in today’s learning software.
To ensure as much as possible that respondents had the same frame of reference, we defined adaptive learning in the survey itself. (READ SLIDE)
More than 3,000 Tech & Learning readers responded to the survey providing a well-rounded sample of our audience. 40% reported they were using adaptive learning software, about 1200 users, and more than 2/3 of respondents work in public schools.
Our findings include the following results: (READ SLIDE)
(READ SLIDE)
(READ SLIDE)
Respondents reported they used adaptive learning software most often for students in 3-5 grades; followed by students in grades 6-8; with K-2 students bringing up the rear.But the most important finding in the survey is that even among educators who report using adaptive learning technology, there is significant misunderstanding of which programs qualify as true adaptive learning software and which programs merely have certain elements that are adaptive.
The 1200 respondents who reported using adaptive learning software were asked to rank the importance of various aspects of adaptive learning. This table illustrates that ranking: (READ SLIDE)
As every educator knows, there is rarely enough time in the school day to accomplish everything that is needed, so software must deliver results to justify the investment of time. When asked about the problems and challenges they experience in using adaptive learning programs in their school or district, survey respondents gave these reasons: (READ SLIDE)Since the “other” category was so large, it’s important to note that 33% of these “Other” answers were technology related challenges reported in detail by the respondents.
When asked to choose the level of adaptivity of their software, only 37% responded that their software was capturing student responses in an ongoing manner both within and between the lessons.
Asked to specifically rank various aspects of adaptive learning, respondents rated real-time and continuous adaptivity as the top feature.
The last part of the survey was directed to nonusers of adaptive learning software. When asked to choose the reason that most closely aligned with their situations, more than half responded that a lack of funds was the primary reason they were not yet using adaptive learning programs.
Again, because more than a third responded that there were other reasons why they were not using adaptive learning software, it is instructive to look at how those “other” answers break down. One out of four nonusers cited lack of information or awareness about adaptive learning software as their reason for not using it with their students.
Some of the technology challenges include: (READ SLIDE)
It is clear from the survey results that many respondents understand the ideal of adaptive learning programs – that they can deliver continuous and ongoing adaptivity, as the student is engaging in the program in real time. But much of the software that respondents reported using have elements of adaptive learning but are not fully adaptive as noted in this slide. (READ SLIDE)
The promise of adaptive learning technology is that it is fully adaptive – meaning that the software continually measures the student’s progress and automatically adjusts content based on real time performance data. The survey results reveal that only a small portion of reported users are actually using programs with continuous and ongoing adjustments of content based on student responses in real time.