Titlebook: Artificial Intelligence Education in the Context of Work; Dirk Ifenthaler,Sabine Seufert Book 2022 The Editor(s) (if applicable) and The A

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團(tuán)結(jié)

separate

Shaping AI Transformation: Digital Competencies and Augmentation Strategies of HRD Professionalsthe realm of instrumental skills from 2019 to 2020. HRD professionals currently seem to be focusing more on digitalisation within the daily business. Future-oriented projects that deal with the potential benefits of AI seem not very common in HRD.

Ancillary

Leveraging Artificial Intelligence Techniques for Effective Scaffolding of Personalized Learning in pments in AI and natural language processing (NLP) for evaluating learners’ responses to problems and modeling learners’ knowledge levels, and (3) it makes learning personalized and self-directed by providing appropriate scaffolding through AI-based mechanisms. In the discussion, several aspects of

砍伐

Supporting Stress Detection Via AI and Non-invasive Wearables in the Context of Workal intelligence models. We applied this methodology in the research dataset Smart Reasoning Systems for Well-being at Work and at Home-Knowledge Work (25 subjects) after performing a search of the literature of open biometrics dataset for stress detection. AdaBoost and Random Forest stand out with h

SOW

The Engine Design of Electronic Performance Support System for Employees’ Training Based on Training required for any given task and, if necessary, which training has priority. In order to determine this priority, difficulty, importance, and frequency ratings of job, tasks are asked of employees and used as the criteria. With the DIF model, the training needs of the employees are classified as low

Spangle

Artificial Intelligence Based Adaptive Learning Model for Distance Learning Readinessdetermined before the training and the navigation adaptation will be offered through direct guidance, tailored to the needs. The training will start with different navigation for every instructor according to these adaptations. The second stage includes the process after the training has started. Th

盡忠

Design and Development of an Intelligent System for Evaluating Students’ Workplace Skillstem that can support the process of monitoring, recording, and evaluating students’ performance in vocational training programs. Digital tracking of the process has been the expected demand of all stakeholders. In this direction, the authors prototyped and developed a mobile application, and details

地牢

Workplace Learning in and with Intelligent Systemsd characterizes cyber-physical production systems with special regard to human learning and performance. The integration of Artificial Intelligence into smart learning environments is discussed and two principles from instructional psychology are presented (i.e., scaffolding and feedback). Further,

楓樹

2662-2122 personalized skill management, and intelligent tutoring systems.?.? Case studies for the implementation and use of AI-enabled learning and performance solutions, such as personal learning experience platforms, and automated performance feedback..978-3-031-14393-9978-3-031-14489-9Series ISSN 2662-2122 Series E-ISSN 2662-2130