Diversity has long been the norm in German schools. The educational system, however, has not yet succeeded in providing all students
with equal educational opportunities: In Germany, more than in
almost any other country, learning success is dependent on a
student’s social background.
Consequently, the call for personalisation of the learning experience,
i.e. providing individual support to students, is frequently heard.
In real life, however, this approach entails major challenges, both for
students who will have to learn self-guided learning, and teachers
who will need to support them. It still remains unclear whether
technology can help in these efforts, for instance by diagnosing a
student’s level of knowledge, selecting learning content or adapting
it to the respective student. Technology-enhanced personalised
learning is not yet common in Germany, which is why we have
tasked scientists with summarising the current status of international research on the matter.
%0 Generic
%1 holmes2018technology
%A Holmes, Wayne
%A Anastopoulou, Stamatina
%A Schaumburg, Heike
%A Mavrikis, Manolis
%D 2018
%I Robert Bosch Stiftung GmbH
%K AI AIED Education adaptive learning personalised report review
%T Technology-enhanced Personalised Learning: Untangling the Evidence
%U http://oro.open.ac.uk/56692/1/TEPL_en.pdf
%X Diversity has long been the norm in German schools. The educational system, however, has not yet succeeded in providing all students
with equal educational opportunities: In Germany, more than in
almost any other country, learning success is dependent on a
student’s social background.
Consequently, the call for personalisation of the learning experience,
i.e. providing individual support to students, is frequently heard.
In real life, however, this approach entails major challenges, both for
students who will have to learn self-guided learning, and teachers
who will need to support them. It still remains unclear whether
technology can help in these efforts, for instance by diagnosing a
student’s level of knowledge, selecting learning content or adapting
it to the respective student. Technology-enhanced personalised
learning is not yet common in Germany, which is why we have
tasked scientists with summarising the current status of international research on the matter.
@misc{holmes2018technology,
abstract = {Diversity has long been the norm in German schools. The educational system, however, has not yet succeeded in providing all students
with equal educational opportunities: In Germany, more than in
almost any other country, learning success is dependent on a
student’s social background.
Consequently, the call for personalisation of the learning experience,
i.e. providing individual support to students, is frequently heard.
In real life, however, this approach entails major challenges, both for
students who will have to learn self-guided learning, and teachers
who will need to support them. It still remains unclear whether
technology can help in these efforts, for instance by diagnosing a
student’s level of knowledge, selecting learning content or adapting
it to the respective student. Technology-enhanced personalised
learning is not yet common in Germany, which is why we have
tasked scientists with summarising the current status of international research on the matter. },
added-at = {2019-04-12T11:33:06.000+0200},
author = {Holmes, Wayne and Anastopoulou, Stamatina and Schaumburg, Heike and Mavrikis, Manolis},
biburl = {https://www.bibsonomy.org/bibtex/243de48a64fcf2a9cea3f00005843411c/yish},
howpublished = {Robert Bosch Stiftung GmbH},
interhash = {d357e99dde3800645c99defc38c00902},
intrahash = {43de48a64fcf2a9cea3f00005843411c},
keywords = {AI AIED Education adaptive learning personalised report review},
publisher = {Robert Bosch Stiftung GmbH},
timestamp = {2019-04-12T11:33:06.000+0200},
title = {Technology-enhanced Personalised Learning: Untangling the Evidence},
url = {http://oro.open.ac.uk/56692/1/TEPL_en.pdf},
year = 2018
}