Results 21 to 30 of about 9,004,624 (359)
Sustainability, 2023 Adaptive learning is an approach toward personalized learning and places the concept of “learner-centered education” into practice. With the rapid development of artificial intelligence and other technologies in recent years, there have been many ...
Y. Jing +5 more
semanticscholar +1 more source
Adaptive learning and artificial intelligence in the educational space
E3S Web of Conferences, 2023 Educational technologies leverage artificial intelligence and adaptive learning algorithms to analyze learners' performance and provide personalized feedback and recommendations.
Aida Akavova +2 more
semanticscholar +1 more source
The Influence of AI-Powered Adaptive Learning Platforms on Student Performance in Chinese Classrooms
Journal of education, 2023 This study delved into the impact of AI-powered adaptive learning platforms on student performance within the context of Chinese classrooms. Utilizing a comprehensive retrospective approach, the research examined the effects of these innovative platforms
Qiong Luo
semanticscholar +1 more source
Measuring Risk Literacy: The Berlin Numeracy Test
Judgment and Decision Making, 2012 We introduce the Berlin Numeracy Test, a new psychometrically sound instrument that quickly assesses statistical numeracy and risk literacy. We present 21 studies (n=5336) showing robust psychometric discriminability across 15 countries (e.g., Germany ...
Edward T. Cokely +4 more
doaj +1 more source
Predicting biases in very highly educated samples: Numeracy and metacognition
Judgment and Decision Making, 2014 We investigated the relations between numeracy and superior judgment and decision making in two large community outreach studies in Holland (n=5408). In these very highly educated samples (e.g., 30–50% held graduate degrees), the Berlin Numeracy Test was
Saima Ghazal +2 more
doaj +1 more source
Adaptive Neighborhood Metric Learning [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 In this paper, we reveal that metric learning would suffer from serious inseparable problem if without informative sample mining. Since the inseparable samples are often mixed with hard samples, current informative sample mining strategies used to deal with inseparable problem may bring up some side-effects, such as instability of objective function ...
Kun Song 0001 +4 more
openaire +3 more sources
International journal of social science and human research, 2022 The learning process is never-ending. It is a continuous process through every phase and stage of human life. Man always seeks new lessons and ideas and adapt to new surroundings and changes. In this process, several platforms and tools make the learning
Deepak Kem
semanticscholar +1 more source
AI-assisted knowledge assessment techniques for adaptive learning environments
Computers and Education: Artificial Intelligence, 2022 The growth of online learning, enabled by the availability on the Internet of different forms of didactic materials such as MOOCs and Intelligent Tutoring Systems (ITS), in turn, increases the relevance of personalized instructions for students in an ...
Sein Minn
semanticscholar +1 more source
International Journal of Computer Vision, 2023 10 pages, 9 ...
Kai-Fu Yang +5 more
openaire +2 more sources
Defining and evaluating learner experience for social adaptive e-learning [PDF]
, 2014 Social adaptive e-learning combines, threads and balances the amount of social and adaptive features for e-learning in order to achieve high-quality Learner eXperience (LX).
Shi, Lei
core +1 more source