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Heidari, Elham; Salimi, Ghasem; Mehrvarz, Mahboobe – Interactive Learning Environments, 2023
Studies have revealed that individuals' identities can be shaped not only offline but also online. However, the formation of online identity of students in higher education environments is complex. Empirical evidence has suggested that academics are interested in using social media to enhance their professional identity and reputation. The current…
Descriptors: Social Networks, Social Capital, Professional Identity, Graduate Students
Minhui Zhong; Jinxia Jiang; Han Zhang; Xia Duan – Interactive Learning Environments, 2023
Newly registered nurses' emergency response capability falls short of their employers' expectations. Therefore, they need to develop this ability to cope with various changes in the clinic. Unfortunately, traditional learning has not been good enough in cultivating nursing skills and fostering self-directed learning which plays a key role in the…
Descriptors: Flipped Classroom, Nurses, Nursing Education, Hospitals
Radosavljevic, Vitomir; Radosavljevic, Slavica; Jelic, Gordana – Interactive Learning Environments, 2022
This paper introduces the smart classroom learning model based on the concept of ambient intelligence. By analyzing a smart classroom, the ambient intelligence system detects a student and determines their level of fatigue based on the data about their previous daily academic activities. This information is then used to assign the student the…
Descriptors: Virtual Classrooms, Educational Technology, Technology Uses in Education, Artificial Intelligence
Xing, Wanli; Pei, Bo; Li, Shan; Chen, Guanhua; Xie, Charles – Interactive Learning Environments, 2023
Engineering design plays an important role in education. However, due to its open nature and complexity, providing timely support to students has been challenging using the traditional assessment methods. This study takes an initial step to employ learning analytics to build performance prediction models to help struggling students. It allows…
Descriptors: Learning Analytics, Engineering Education, Prediction, Design
Min-Chi Chiu; Gwo-Jen Hwang; Lu-Ho Hsia; Fong-Ming Shyu – Interactive Learning Environments, 2024
In a conventional art course, it is important for a teacher to provide feedback and guidance to individual students based on their learning status. However, it is challenging for teachers to provide immediate feedback to students without any aid. The advancement of artificial intelligence (AI) has provided a possible solution to cope with this…
Descriptors: Art Education, Artificial Intelligence, Teaching Methods, Comparative Analysis

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