Physical Education
From Motion Signals to Insights: A Unified Framework for Student Behavior Analysis and Feedback in Physical Education Classes
Gao, Xian, Ruan, Jiacheng, Gao, Jingsheng, Xie, Mingye, Zhang, Zongyun, Liu, Ting, Fu, Yuzhuo
Analyzing student behavior in educational scenarios is crucial for enhancing teaching quality and student engagement. Existing AI-based models often rely on classroom video footage to identify and analyze student behavior. While these video-based methods can partially capture and analyze student actions, they struggle to accurately track each student's actions in physical education classes, which take place in outdoor, open spaces with diverse activities, and are challenging to generalize to the specialized technical movements involved in these settings. Furthermore, current methods typically lack the ability to integrate specialized pedagogical knowledge, limiting their ability to provide in-depth insights into student behavior and offer feedback for optimizing instructional design. To address these limitations, we propose a unified end-to-end framework that leverages human activity recognition technologies based on motion signals, combined with advanced large language models, to conduct more detailed analyses and feedback of student behavior in physical education classes. Our framework begins with the teacher's instructional designs and the motion signals from students during physical education sessions, ultimately generating automated reports with teaching insights and suggestions for improving both learning and class instructions. This solution provides a motion signal-based approach for analyzing student behavior and optimizing instructional design tailored to physical education classes. Experimental results demonstrate that our framework can accurately identify student behaviors and produce meaningful pedagogical insights.
USA Today's publisher had to update all of the sports posts its AI reporter botched
A week after being outed for stealthily using AI to produce high school sports reports and publicly "pausing" the project, mega-publisher Gannett has reportedly had to recheck each and every post the AI had written. Did we really learn nothing from CNET's ignoble AI escapades in January? Gannett operates a number of regional and national publications including USA Today, The Arizona Republic and The Detroit Free Press. The company devised its "Lede AI" as a means of automating the droll work of summarizing the box scores of local high school sports leagues -- a task the AI proved wholly incapable of. The Hardin County Tigers defeated the Memphis Business Execs 48-12 in a Tennessee high school football game on Friday.
Newspaper giant pauses AI experiment after readers mock bizarre sports reporting
Fox News correspondent Grady Trimble has the latest on fears the technology will spiral out of control on'Special Report.' Gannett, the parent company for USA Today and a number of local newspapers, has paused an artificial intelligence experiment following criticisms that AI-generated sports articles were awkwardly phrased and lacked details. A handful of Gannett-owned papers briefly published AI-generated sports stories this month based on box score data, Axios reported, which were quickly met with condemnation from social media commenters. The Columbus Dispatch is one of a handful of the newspapers that faced criticisms for awkward phrasing, such as describing a high school football game as "high school football action," which left readers calling the article "terrible." Other awkward phrasing included AI describing the Ohio game as a "close encounter of the athletic kind," according to Axios.
Vol 14, No 06 (2019) International Journal of Emerging Technologies in Learning (iJET)
Hoy traemos a este espacio el รบltimo nรบmero de iJET International Journal of Emerging Technologies in Learning (iJET) This interdisciplinary journal aims to focus on the exchange of relevant trends and research results as well as the presentation of practical experiences gained while developing and testing elements of technology enhanced learning. So it aims to bridge the gap between pure academic research journals and more practical publications. So it covers the full range from research, application development to experience reports and product descriptions. Readers don't have to pay any fee. Vol 14, No 06 (2019) Table of Contents Papers Setting Up and Implementation of the Parallel Computing Cluster in Higher Education Meruert Serik, Nursaule Karelkhan, Jaroslav Kultan, Zhandos Zulpykhar Design and Implementation of Web-Based English Autonomous Learning System A Semantic Distances-Based Approach for a Deeply Indexing of Learning Objects Kamal El Guemmat, Sara Ouahabi Design of Students' Spoken English Pronunciation Training System Based on Computer VB Platform Application of 3D Visualization in Landscape Design Teaching Wenbo Jiang, Yuan Zhang Application of Artificial Intelligence in Autonomous English Learning among College Students Application of Computer Data Analysis Technology in the Development of a Physical Education Examination Platform Fan Cheng, Yiwei Yin Data Mining-based Design and Implementation of College Physical Education Performance Management and Analysis System Yimeng Fan, Yu Liu, Haosong Chen, Jianlong Ma A Novel Machine Translation Method based on Stochastic Finite Automata Model for Spoken English Accelerating Qurรกn Reading Fluency through Learning Using QURรNI Application for Students with Hearing Impairments Yusuf Hanafi, Heppy Jundan Hendrawan, Ilham Nur Hakim Short Papers The Effect of Presenting Anomalous Data on Improving Student's Critical Thinking Ability Saiful Prayogi, Muhali Muhali, Sri Yuliyanti, Muhammad Asy'ari, Irham Azmi, Ni Nyoman Sri Putu Verawati Highly Efficient English MOOC Teaching Model Based on Frontline Education Analysis The Development of Digital Book of European History to Shape the Students' Democratic Values Ulfatun Nafiรกh, Mashuri Mashuri, Daya Negri Wijaya International Journal of Emerging Technologies in Learning (iJET) โ eISSN: 1863-0383 (leer mรกs...) Fuente: [iJET ]
Prosthetic legs of California high school wrestling captain stolen from gym
Fox News Flash top headlines for Nov. 24 are here. Check out what's clicking on FoxNews.com The prosthetic legs of a double amputee and soon-to-be high school wrestling captain were stolen from a gym closet in California last week, putting his dreams of winning a state championship or even wrestling this season in doubt. Brett Winters, a senior at Pacific High School in San Bernardino, California, was born without tibia bones in his legs. As a baby, his mother was told by doctors that Winters could either spend life in a wheelchair or amputate his legs.
Drone drops water balloons at Division 1 track prelims
Eric Sondheimer has been covering high school sports for the Los Angeles Times since 1997 and in Southern California since 1976. Get his latest from the field and follow all our prep sports coverage and analysis here. The Southern Section Division 1 track and field preliminary meet at Trubuco Hills High School on Saturday featured a water balloon attack from a lone drone. Near the start of the meet, around 11:30 a.m., a group of people positioned themselves on the hill above the track and allegedly flew a drone carrying water balloons over the track. One race official remarked that the water balloons were completely decimated upon impact.