Technological advancements are pushing new simulation and analytical tools, driving the research fields in design forward. In this environment, for introducing new modeling, simulation, and analytic tools, the pre-training aspect becomes important, presenting the ideas behind the tools and preparing the students to structure their already grasped…

This research is intended to to analyze the differences in the actualization of essential training participants on gender, position, and education level of prospective civil servant participants. The second objective is to analyze the assessment of resource persons and the committee's performance during the basic training process. This research…

This article presents the French-Canadian validation of the Burnout Assessment Tool (BAT) developed by Schaufeli et al. The BAT scale is designed to evaluate both core symptoms (BAT-C) and secondary symptoms (BAT-S) of burnout. Empirical tests were conducted using three distinct samples of teachers from two different Canadian provinces…

Training is one of the most important activities in human resource management. Training aims at improving employees' levels of skills and knowledge. Hence, certain types of training can be implemented for specific purposes. In this research, we introduce the concept of talent-based training. This form of training is expected to improve employees'…

Background/purpose: The use of digital tools influences academic performance, either improving learning or distracting students. In that framework, the research was conducted to analyze how the use of digital tools influences the academic performance of university students from a cross-sectional perspective. The objective was to investigate the…

The improvement of existing science education interventions and the development of new ones requires cohesive, large-scale evaluation and testing that inform what works, for whom, and in what context. Systems approaches to design, implement, and evaluate interventions require knowledge, skills, and expertise in studying humans alongside the lived…

In two experiments, we examine how features of an imperfect automated decision aid influence compliance with the aid in a simplified, simulated nautical collision avoidance task. Experiment 1 examined the impact of providing transparency in the pre-task instructions regarding which attributes of the task that the aid uses to provide its…

College teachers' acceptance of smart teaching tools affects whether they can make effective use of such tools while teaching, with the goal of materializing deep integration of technology and teaching activities. This article constructs a hypothetical model of college teachers' technology acceptance path for smart teaching tools based on the…

The purposes of the current study were to 1) develop a learning burnout assessment for Thai undergraduate students and 2) examine the effects of a positive thinking training program on Thai undergraduate students' learning burnout. The study was divided into two parts: the instrumental development of the assessment tool and the implementation of…

This study examines the effects of interactive and collaborative digital training applications on teachers' academic performance, utilizing the Technology Acceptance Model and collaborative learning theories. A total of 219 government school computer teachers participated in an online training program through Microsoft Teams, employing a…

Purpose: Phonetic forced alignment has a multitude of applications in automated analysis of speech, particularly in studying nonstandard speech such as children's speech. Manual alignment is tedious but serves as the gold standard for clinical-grade alignment. Current tools do not support direct training on manual alignments. Thus, a trainable…

Recent research in science education has largely focused on using ChatGPT to solve problems and evaluating its accuracy and problem-solving features. However, as artificial intelligence (AI) is becoming an important tool for human development, effective strategies for learning and education using human-AI collaboration (HAI) learning remain…

In contemporary music education, innovative technologies, particularly artificial intelligence (AI)-based tools, play a crucial role. The objective of this study was to assess the effectiveness of AI-based tools in enhancing students' success and creativity. The study involved 158 students from a leading music institution, who were divided into…

This article examines how educational organizations can build sustainable learning environments that evolve with artificial intelligence (AI) and generative AI (GenAI). Drawing on systems thinking, organizational learning, and educational change research, we argue that effective integration requires attention beyond tools and training to the…

Ensuring the integrity of results in online learning and assessment tools is a challenge, due to the lack of direct supervision increasing the risk of fraud. We propose and evaluate a machine learning-based method for detecting anomalous behaviour in an online retrieval practice task, using an XGBoost classifier trained on keystroke dynamics and…