Writing has been recognized as a core competency for postgraduate students. However, improving writing performance, particularly for first-year postgraduate students, remains an important and challenging task. This study aimed to explore the effects of student engagement in peer feedback on writing performance from cognitive, affective and…

The nine-year compulsory education policy is a priority state policy in China. The transition to online learning caused by the COVID-19 pandemic turned out to be especially difficult for elementary school students, primarily in the organizational aspect. The need to ensure quality education and effective learning outcomes regardless of its form…

Creativity and computational thinking (CT) have been recognized as crucial skills for the twenty-first century and have been extensively researched in recent years. However, their connections have not yet been fully understood, and there is room to expand the body of knowledge. This study examines the impact of an intervention program to increase…

Datasets are critical for emotion analysis in the machine learning field. This study aims to explore emotion analysis datasets and related benchmarks in online learning, since, currently, there are very few studies that explore the same. We have scientifically labeled the topic and nine-category emotion of 4715 comment texts in online learning…

This study provides research-based evidence to profile: (1) the roles of artificial intelligence in nursing; (2) its research applications; and (3) the research trends for future study. On the basis of the PRISMA statement, a series of AI and nursing education related keywords from the literature were used to retrieve high-quality journal articles…

The vocal performance is based on a variety of colours and shades influenced by the musical ear and vocal apparatus development. The research aim is to apply a problem-based approach to online music education with a special emphasis on vocal singing with piano accompaniment. The scholars used the oscillation coefficient to identify the main…

Given the lack of cultural consideration of studies on digital natives, this study reports on a large-scale validation of the Digital Native Assessment Scale (DNAS) among university students from three regions of Greater China: Chinese mainland, Macau, and Taiwan, to examine measurement invariance and latent mean differences in the four constructs…

This article investigates the reasons that trigger students to access social media, the challenges faced and what needs to be done to ensure that Higher Education Institutions (HEIs) can adopt the use of social media in learning. This study uses a narrative cross-sectional survey conducted using qualitative data collection techniques based on…

Drawing on student approaches to learning research, this study combined both self-reported and process data to examine: (1) the extent of the alignment between the self-reported and process data of the profiles of 179 Chinese university students' learning experience in the flipped classrooms and (2) the contributions of the self-reported and…

In Blended Learning, students receive a combination of traditional face to face instruction in class and are also required to complete activities outside of the classroom. BL increases opportunities for faculty members to design more effective teaching and learning environments. In order to do so, Instructional Design might be used to support…

Providing a sustainable distance education is paramouth of importance as a highly complex process requieing the involvement of various stakeholders. The purpose of this study is to investigate the criteria affecting the sustainability of distance education (DE) in higher education institutions, and to understand the differences in several internal…

In this paper, we present the analysis of the students' achievements in learning calculus in a dynamic software environment during the COVID-19 crisis. Two groups of students, the experimental and the control one, were monitored. Blended learning was applied to the students in the experimental group, with the help of "Microsoft Teams"…

Recently, researchers have proposed to leverage technology-supported data (log files) to investigate temporal and sequential patterns of interaction behaviors in learning processes. There are two major challenges to be addressed: clarifying the positioning of interaction levels and identifying the evolution of the interaction action patterns in…

The necessity for students to clarify their own cognitive structure and the amount of their knowledge mastery for self-reflection is often ignored in building the student model in the adaptive model, which makes the construction of the cognitive structure pointless. Simultaneously, knowledge forgetting causes students' knowledge level to fall…

The aim of this study is to examine the effect of the flipped learning model on students' academic achievement and its relationship with the permanence and effectiveness of the subjects learned. The research is in the sequential explanatory mixed method model. For the experimental study of the research, two classes with close socio-economic and…