A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Filters
A Novel Curriculum Visualization Method Using a Combination of Competencies, Cosine Similarity, Multidimensional Scaling Methods, and Scatter Plotting
2019
Information Engineering Express
Preserved Fulltext
This article outlines a new way of visualizing curricula (sets of courses for students) using competencies via a combination of cosine similarity, multidimensional scaling methods, and scatter plotting ...
Usually, students are only interested in the course content when they select courses; this new visualization of curricula using competencies gives students a new perspective on their courses. ...
In this study, we visualized curricula using competencies via a combination of cosine similarity, MDS, and scatter plotting. ...
doi:10.52731/iee.v5.i1.439
fatcat:62flstuw4zdozkz3cxirq6x7xm
New proposal of University Reform by Significant Other Groups in Eduinformatics
2021
International Journal of Institutional Research and Management
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Kobe Tokiwa University was established in 2008 in Japan, and underwent its first reform in 2015. This reform led to a new curricula of competency-based education from 2017 onward. ...
Further, a new group-named Significant Other Groups (SOGs)-should implement university reform using informatics. ...
Unauthorized reproduction of this article is prohibited.
Acknowledgement Copyright © by IIAI. Unauthorized reproduction of this article is prohibited. ...
doi:10.52731/ijirm.v5.i1.681
fatcat:54btgzciyfattpwzrrfyfmyu6a
Deep Reinforcement Learning
[article]
2018
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
We start with background of artificial intelligence, machine learning, deep learning, and reinforcement learning (RL), with resources. ...
We draw a big picture, filled with details. We discuss six core elements, six important mechanisms, and twelve applications, focusing on contemporary work, and in historical contexts. ...
The authors propose policy-space response oracle (PSRO), and its approximation, deep cognitive hierarchies (DCH), to compute best responses to a mixture of policies using deep RL, and to compute new meta-strategy ...
arXiv:1810.06339v1
fatcat:kp7atz5pdbeqta352e6b3nmuhy
Deep Reinforcement Learning, a textbook
[article]
2022
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Other Versions
The way in which deep reinforcement learning explores complex environments reminds us of how children learn, by playfully trying out things, getting feedback, and trying again. ...
The aim of this book is to provide a comprehensive overview of the field of deep reinforcement learning. ...
Other popular unsupervised methods are dimensionality reduction techniques from visualization, such as t-SNE [493] , minimum description length [294] and data compression [55] . ...
arXiv:2201.02135v2
fatcat:3icsopexerfzxa3eblpu5oal64
Forty-ninth Annual Meeting of the American Psychological Association
1941
Psychological bulletin
Preserved Fulltext
The Internet Archive has digitized a microfilm copy of this work. It may be possible to borrow a copy for reading.
A New Theory of Traffic Accident Incidence. T. W. FoRBES and M. A. Krart. Yale Bureau for Street Traffic Research and American Transit Association. ...
Results of F and t-tests for the effects of quality and intensity of illuminant and reflectance of background on lightness will also be dis- cussed and related to certain general principles of visual functioning ...
doi:10.1037/h0050099
fatcat:mm6hki77tjdgrmdciuo5ka6kwi
Condensed Program of the Fifty-Seventh Annual Meeting of the American Psychological Association
1949
American Psychologist
Preserved Fulltext
The Internet Archive has digitized a microfilm copy of this work. It may be possible to borrow a copy for reading.
test in the measurement of leadership ability and competence. ...
Technical competence per se is a secondary consideration. ...
doi:10.1037/h0063694
fatcat:rw3wgdegvzcrll77xojkebtyo4
Multimodal Visual Sensing: Automated Estimation of Engagement
[article]
2021
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Besides engagement and presentation competence, we approach human behavior understanding from a broader perspective by studying the analysis of joint attention in a group of people, teachers' perception ...
Many modern applications of artificial intelligence involve, to some extent, an understanding of human attention, activity, intention, and competence from multimodal visual data. ...
Acknowledgements Acknowledgments Ömer Sümer is a doctoral student at the LEAD Graduate School & Research Network, which is funded by the Ministry of Science, Research and the Arts of the state of Baden-Württemberg ...
doi:10.15496/publikation-55003
fatcat:jcki2sjwjzfbvm5vdanxsy7ohy
Educational practices in large college courses and their effects on student outcomes
[article]
2018
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Figure 16 Visualization of cluster separation using t-SNE, colored by cluster assignment (top) and by college (bottom). ...
Visualization was done using t-Distributed Stochastic Neighbor Embedding (t-SNE), a nonlinear dimensionality reduction technique useful for visualizing relationships in high-dimensional data (Maaten & ...
Causal Effect Estimates of High Graded Retrieval Practice (Mean Split) For Government The creation of a dichotomous treatment variable using a mean split of total graded retrieval practice elements (L ...
doi:10.15781/t25m62s26
fatcat:pknprwvcjrb6dpfigixvpful2a