Research on the state of blended learning among college students – A mixed-method approach

Abstract

In the wake of the COVID-19 pandemic in 2019, China’s education leaders began to focus on and promote blended learning. The process is still in its infancy in Chinese colleges and universities, and its development remains a problem to be solved. By combining technology acceptance and student participation, this article proposes an analysis model for assessing the factors influencing blended learning. A questionnaire was designed and distributed, and 796 valid responses were collected. The mean and variance were used to examine the status of students’ technology acceptance and satisfaction with blended learning. The t-test method was employed to analyze the gender differences between students in regard to the topic. The results show that: (1) students majoring in computer science view the factors as having a high level of influence in blended learning. (2) There are major variances regarding the perception of service quality between male and female computer science major students. There is no significant difference between them in terms of perceived usefulness, perceived ease of use, or computer self-efficacy. (3) There are considerable disparities in the skill involvement and participation of computer science major college students. The results show that the technology acceptance and participation of students determine the effect of blended learning. Based on these findings, this article provides theoretical and practical suggestions for the implementation of blended learning to improve its effect.

Blended teaching to improve the mood state and motor performance skills of student-athletes in softball: A randomized-controlled trial

“…This is because BT is a teaching innovation that was created to solve issues that often occur in full online learning. BT promotes a complex and more interesting teaching, namely applying a teaching system by combining online + offline sessions [50,51], so that this strategy can be a powerful way to increase engagement and independence in learning [37].Other research reported that studentathletes with a low mood state category has slowly experienced positive changes in mood after participating BT group [12]. Likewise, research conducted by Zhao & Song [52], explained that BT has the potential to evoke enormous positive emotions in student athletes, thus they could more involved actively in the PE learning process.…”

Adaptive Target Region Attention Network-based Human Pose Estimation in Smart Classroom

“…With modern and intelligent education being strongly advocated and developed, neural network models based on deep learning are heavily used in classroom detection tasks. In the task of assessing the quality of teaching and learning of student, information about student postures [5,6,7] plays a very important role in assessing the quality of teaching and in teacher understanding of student learning status in the classroom [8]. In the classroom, a student state of learning is demonstrated through a variety of classroom behaviours.…”

Blended Learning Modality in Teaching Statistics in a Graduate Program of a State University in the Philippines

“…Similarly, a meta-analysis conducted on the effectiveness of blended learning reported mixed findings (Poirier et al, 2019). Also, studies on the effects of blended learning focus on mathematics (Setiawan et al, 2022) and basic statistics (Yusoff et al, 2017) for K-12 level (Liu & Wang, 2022;Topping et al, 2020;Fazal & Bryant, 2019), and college level (Deng et al, 2022), while the impact of blended learning in graduate students specifically in advanced statistics has not been much explored.…”