Adaptive technology

Microlearning, Educational video, Adaptive technology, Mobile learning, AR / VR, Personalized learning, Performance support / improvement Business and industry Attitudes/Benefits/Challenges

1. Micro-learning
2. Video
3. Artificial Intelligence (AI)
4. Augmented Reality (AR)
5. Mobile
6. xAPI
7. Virtual Reality (VR)
8. Subscription tools and learning
9a. Science-based learning
9b. Personalized learning
9c. Performance Support

Sample Size:
57 experts
Sample Description:

57 experts in the field. 

Top 12 Trends for 2018

Resource: 
 
Publication Year: 
2018
Trends: 
             
Settings: 
 
Category of Information: 
 
Sample size: 
57 experts
Sample description: 
Content: 

1. Micro-learning
2. Video
3. Artificial Intelligence (AI)
4. Augmented Reality (AR)
5. Mobile
6. xAPI
7. Virtual Reality (VR)
8. Subscription tools and learning
9a. Science-based learning
9b. Personalized learning
9c. Performance Support

Survey question: 

What are the top three trends for 2018? 

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LMS, Educational video, Social media, Adaptive technology, Educational Games / Gamification Higher education Usage: Current and Past
Sample Size:
232
Sample Description:

232 Faculty Members across the United States of America 

TWTS_Software Implemented

Resource: 
 
Publication Year: 
2017
Trends: 
         
Settings: 
 
Category of Information: 
 
Sample size: 
232
Sample description: 
Graphs: 

Survey question: 

What are the types of software that you use or want to use in your classroom? 

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Digital Learning Technologies, OER, LMS, Adaptive technology Higher education Usage: Current and Past
Sample Size:
2,780 McGraw-Hill Education customers and 531 online panel respondents
Sample Description:
  • Hanover Research designed and administered a survey on behalf of McGraw-Hill Educa<on with the goal of assessing college students’ digital study habits and experiences. This survey examines students’ college experiences as well as their preferences and opinions regarding use of mobile electronic devices and digital learning technology (DLT) to study.
  • This analysis includes data from 2,780 McGraw-Hill Education customers and 531 online panel respondents reached in August of 2016. To qualify for the survey, all respondents had to be current students at the graduate, bachelors, or associates level.
  • Analyses compare responses from similar studies administered in 2014 and 2015 when possible. Please note that due to changes in survey design, only significant differences in ques<ons with iden<cal/very similar phrasing are reported. Responses of “not sure” are excluded from all analyses to ensure consistent and meaningful comparison.

Which of the following types of digital learning technology do you use to study?

Resource: 
 
Publication Year: 
2016
Trends: 
       
Settings: 
 
Category of Information: 
 
Sample size: 
2,780 McGraw-Hill Education customers and 531 online panel respondents
Sample description: 
Graphs: 

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Adaptive technology Higher education Attitudes/Benefits/Challenges
Sample Size:
2,780 McGraw-Hill Education customers and 531 online panel respondents
Sample Description:
  • Hanover Research designed and administered a survey on behalf of McGraw-Hill Educa<on with the goal of assessing college students’ digital study habits and experiences. This survey examines students’ college experiences as well as their preferences and opinions regarding use of mobile electronic devices and digital learning technology (DLT) to study.
  • This analysis includes data from 2,780 McGraw-Hill Education customers and 531 online panel respondents reached in August of 2016. To qualify for the survey, all respondents had to be current students at the graduate, bachelors, or associates level.
  • Analyses compare responses from similar studies administered in 2014 and 2015 when possible. Please note that due to changes in survey design, only significant differences in ques<ons with iden<cal/very similar phrasing are reported. Responses of “not sure” are excluded from all analyses to ensure consistent and meaningful comparison.

How helpful would you say that online quizzes/adaptive technology (e.g. SmartBook, LearnSmart) has been in terms of aiding your ability to retain new concepts

Resource: 
 
Publication Year: 
2016
Trends: 
 
Settings: 
 
Category of Information: 
 
Sample size: 
2,780 McGraw-Hill Education customers and 531 online panel respondents
Sample description: 
Graphs: 

Page: 
31
0
Adaptive technology Higher education Attitudes/Benefits/Challenges
Sample Size:
2,780 McGraw-Hill Education customers and 531 online panel respondents
Sample Description:
  • Hanover Research designed and administered a survey on behalf of McGraw-Hill Educa<on with the goal of assessing college students’ digital study habits and experiences. This survey examines students’ college experiences as well as their preferences and opinions regarding use of mobile electronic devices and digital learning technology (DLT) to study.
  • This analysis includes data from 2,780 McGraw-Hill Education customers and 531 online panel respondents reached in August of 2016. To qualify for the survey, all respondents had to be current students at the graduate, bachelors, or associates level.
  • Analyses compare responses from similar studies administered in 2014 and 2015 when possible. Please note that due to changes in survey design, only significant differences in ques<ons with iden<cal/very similar phrasing are reported. Responses of “not sure” are excluded from all analyses to ensure consistent and meaningful comparison.

How important is it that your digital learning technology respond and adapt to your unique way of learning?

Resource: 
 
Publication Year: 
2016
Trends: 
 
Settings: 
 
Category of Information: 
 
Sample size: 
2,780 McGraw-Hill Education customers and 531 online panel respondents
Sample description: 
Graphs: 

Page: 
30
0
Adaptive technology Higher education Attitudes/Benefits/Challenges
Sample Size:
2,780 McGraw-Hill Education customers and 531 online panel respondents
Sample Description:
  • Hanover Research designed and administered a survey on behalf of McGraw-Hill Educa<on with the goal of assessing college students’ digital study habits and experiences. This survey examines students’ college experiences as well as their preferences and opinions regarding use of mobile electronic devices and digital learning technology (DLT) to study.
  • This analysis includes data from 2,780 McGraw-Hill Education customers and 531 online panel respondents reached in August of 2016. To qualify for the survey, all respondents had to be current students at the graduate, bachelors, or associates level.
  • Analyses compare responses from similar studies administered in 2014 and 2015 when possible. Please note that due to changes in survey design, only significant differences in ques<ons with iden<cal/very similar phrasing are reported. Responses of “not sure” are excluded from all analyses to ensure consistent and meaningful comparison.

Students’ Views on Adaptive Digital Learning Technology

Resource: 
 
Publication Year: 
2016
Trends: 
 
Settings: 
 
Category of Information: 
 
Sample size: 
2,780 McGraw-Hill Education customers and 531 online panel respondents
Sample description: 
Graphs: 

Page: 
29
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Adaptive technology Higher education Attitudes/Benefits/Challenges
Sample Size:
Senior IT officials from 339 universities
Sample Description:

Senior IT Officials for 339 universities 

CIO Opinion on Adaptive Technology

Resource: 
 
Publication Year: 
2016
Trends: 
 
Settings: 
 
Category of Information: 
 
Sample size: 
Senior IT officials from 339 universities
Sample description: 
Graphs: 

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0
Other trends, Educational Games / Gamification, Adaptive technology Higher education Attitudes/Benefits/Challenges

Fifty-six percent of respondents gave adaptive learning technologies one of the top two ratings, and it received significantly higher ratings than the other initiatives (p<.01). On the other hand, digital game-based learning was rated as the least promising (p<.01).

Sample Size:
n=110
Sample Description:

a select group of higher education administrators and experts, consists of 110 members with diverse backgrounds and perspectives

How Promising is Each Technology for Improving the Quality of Undergraduate Student Learning?

Resource: 
 
Publication Year: 
2015
Trends: 
     
Settings: 
 
Category of Information: 
 
Sample size: 
n=110
Sample description: 
Graphs: 

Content: 

Fifty-six percent of respondents gave adaptive learning technologies one of the top two ratings, and it received significantly higher ratings than the other initiatives (p<.01). On the other hand, digital game-based learning was rated as the least promising (p<.01).

Notes: 

The numbers are mean and SD.

1 = “Not at all promising”; 7 = “Extremely promising”

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