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Direct linkYu-Chi Chen; Huei-Tse Hou – Journal of Educational Computing Research, 2024
Technologies like ChatGPT and other AI tools have impacted learning by giving students more chances to ask questions and explore knowledge. The inclusion of Non-Player Characters (NPCs) as scaffolding in game-based situated learning activities can have a positive impact on learning. The application of ChatGPT to role-playing has potential;…
Descriptors: Educational Games, Artificial Intelligence, Natural Language Processing, Scaffolding (Teaching Technique)
Black, Stephanie C.; Bender, Angela D.; Whitney, Susannah J.; Loft, Shayne; Visser, Troy A. W. – Applied Cognitive Psychology, 2022
Increasingly higher demands are being made on the capacity-limited cognitive capabilities of human operators as they strive to maintain situation awareness (i.e., understanding "what is going on") and performance in complex tasks. In the current study we asked whether: (a) training administered via a mobile phone-based app could improve…
Descriptors: Time Management, Executive Function, Difficulty Level, Performance
Sarmento, Hugo; Araújo, Duarte – High Ability Studies, 2021
This study investigates the factors driving football players with identical training experience and genetics to have dramatically different career paths. We studied two paired cases from a pool of 32 talented U-20 players who were twice World Champions. The first paired case is a set of monozygotic twins that played football for exactly the same…
Descriptors: Career Readiness, Case Studies, Athletes, Team Sports
Machado, João Cláudio; Barreira, Daniel; Teoldo, Israel; Travassos, Bruno; Júnior, João Bosco; Santos, João Otacílio Libardoni Dos; Scaglia, Alcides José – Research Quarterly for Exercise and Sport, 2019
Purpose: This study aimed to investigate if player tactical skill level and age category influence team performance and player exploratory behavior in tasks with different difficulty levels. Method: In total, 48 youth male soccer players participated in the study (U15, n = 24, mean age = 13.06 [plus or minus] 1.53 years; U17, n = 24, mean age =…
Descriptors: Team Sports, Difficulty Level, Efficiency, Athletes
Download full textTurgut, Murat; Yasar, Onur Mutlu – Journal of Education and Learning, 2020
In order to achieve the expected high performance, athletes must be physically, technically, tactically and socially ready as well as being psychologically ready and strong (Erdogan & Kocaeksi, 2015). In this context, mental training of athletes is also important. Mental training means that athletes adjust and control their own sports behavior…
Descriptors: Performance, College Athletics, Athletes, Metacognition
Schedler, Simon; Brock, Katharina; Fleischhauer, Fabian; Kiss, Rainer; Muehlbauer, Thomas – Research Quarterly for Exercise and Sport, 2020
Purpose: In youth, cross-sectional studies reported age differences in balance performance that were in favor of adolescents. Thus, trainability of balance performance might be different in children compared to adolescents. The purpose of this study was therefore to compare the effects of balance training (BT) on balance performance between…
Descriptors: Psychomotor Skills, Age Differences, Pretests Posttests, Children
