伙伴
发表于 2025-3-28 15:46:42
Automated Physiological-Based Detection of Mind Wandering during Learningbtained a kappa, a measurement of accuracy corrected for random guessing, of .22, signaling feasibility of detecting MW in a student-independent manner. Though modest, we consider this result to be an important step towards fully-automated unobtrusive detection of mind wandering during learning.
Soliloquy
发表于 2025-3-28 21:47:15
Identifying Learning Conditions that Minimize Mind Wandering by Modeling Individual Attributesue and difficulty separately (kappas of .16 and .24; accuracy of 59% and 64% respectively). Results are discussed in terms of creating a learning system that prospectively places learners in the optimal condition to increase learning by minimizing MW.
很是迷惑
发表于 2025-3-28 23:56:53
http://reply.papertrans.cn/48/4702/470154/470154_43.png
Glutinous
发表于 2025-3-29 04:25:25
http://reply.papertrans.cn/48/4702/470154/470154_44.png
神圣在玷污
发表于 2025-3-29 08:18:35
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/i/image/470154.jpg
Generalize
发表于 2025-3-29 13:14:55
http://reply.papertrans.cn/48/4702/470154/470154_46.png
Herbivorous
发表于 2025-3-29 19:33:49
http://reply.papertrans.cn/48/4702/470154/470154_47.png
abysmal
发表于 2025-3-29 22:18:39
Intelligent Tutoring Systems978-3-319-07221-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
Gesture
发表于 2025-3-30 02:01:40
sEMG signal analysis. Eleven university students participated the experiment. the data of subjective feeling of comfort and the sEMG of the related muscle of shoulder joint (forward extension, rear protraction, adduction, abduction, flex level, stretch level), elbow joint (flexion), wrist joint (pa
征服
发表于 2025-3-30 07:56:19
http://reply.papertrans.cn/48/4702/470154/470154_50.png