Shimeng Wang’s research while affiliated with Central China Normal University and other places

... These technologies enable teachers to present dynamic content, make real-time annotations, and actively involve students in the exploration and manipulation of information. Research suggests that the integration of such tools contributes to higher levels of student engagement and motivation by encouraging a more interactive and collaborative learning environment Shi et al. (2023). ...

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Reimagining Flipped Learning via Bloom’s Taxonomy and Student–Teacher–GenAI Interactions

... Some journals used bibliometrics to describe the characteristics and development trends of journals of their publications, such as Computers & Industrial Engineering [19], Journal of Business & Industrial Marketing [20], International Journal of Systems Science [21], Applied Intelligence [22], etc. In addition, it has also been applied to research in many fields, such as learning analysis [23], support vector machines [24], medical informatics [25], uncertain group decision-making [26], economic research [27], entrepreneurship, crisis [28], and so on. ...

Reference:

An overview of probabilistic preference decision-making based on bibliometric analysis

... Accordingly, the aim of this model is to construct a student profile, which is concentrated on the educational activity engagement, self-confident, enthusiastic, self-willedand motivated, and to individualize the education (Vasileva-Stojanovska et al., 2015). Individualizing the education at FC enables many positive results which are related to academic performance to be reached (Jovanovic et al., 2019;Lai & Hwang, 2016;Munir et al., 2018;Shi et al., 2018;Wilson, 2014). In the literature, it was mentioned that FC has academic outputs like collaborative work of students on particular subjects (Foldnes, 2016;Fox & Docherty, 2019), participation in evaluation process and independent learning skills (Shi et al., 2018;Wilson, 2014), self-directed learning skills (Lai & Hwang, 2016), development of learning responsibility (Chang & Lin, 2019;Huang & Hong, 2016;Moffett, 2015), improvement of academic performance (Lai & Hwang, 2016;Munir et al., 2018), motivation (Bhagat et al., 2016), satisfaction (Bösner et al., 2015;Forsey et al., 2013;O'Flaherty & Phillips, 2015), development of attitude towards learning in a positive direction (Chao et al., 2015) and enabling adoption of highlevel thinking skills (Alsowat, 2016;Giannakos et al., 2014;Yildiz-Durak, 2018). ...

Reference:

Role of personality traits in collaborative group works at flipped classrooms

... Devices such as smartboards, smart sensors, and wearable technology make the learning process more dynamic and personalized, allowing teachers to monitor students' progress directly and adjust teaching methods accordingly. Shi found that the use of IoT in the classroom increased student engagement by 40% due to a more interactive and data-driven learning experience [211]. In addition to learning, IoT also supports school management efficiency, such as the automation of attendance recording systems, security monitoring through IoT-based CCTV, and more efficient energy management. ...

Reference:

Implementation of Internet of Things (IoT) in Education: A Systematic Literature Review