Search results

This chapter examines student responses to the usefulness of online course materials available through WebCT in an introductory accounting unit. Of particular importance was whether students felt that WebCT provided the key interactive opportunities for effective teaching and learning as outlined by Moore (1993). Results showed that students overwhelmingly felt that WebCT was useful and provided efficient interactions between the content and the learner. WebCT also has the potential for effective interactions between the instructor and the learner. Among learners, however, these are yet to be fully realized. Given the dearth of research in this area, the findings have implications for faculty members, students, and university administrators.

Emergency situations call for effective means of providing quality education. Higher education institutions are therefore required to use effective and efficient online approaches for teaching and learning which necessitate students, academic practitioners and institutions to engage and interact with each other successfully. The purpose of this chapter is to discuss the importance of interaction and engagement in the use of blended learning online tools during emergency situations. The theoretical lens that informs the chapter is social constructivism which argues that learning is a social endeavour. The literature findings show that the effective engagement of students contributes to the overall quality of students’ produced experiences as well as pass rates. Furthermore, the importance of student–lecturer engagement and student–content engagement cannot be taken for granted. The right balance of synchronous and asynchronous online learning tools contributes to fruitful interaction and engagement. Online engagement seems to have many benefits as compared to conventional based engagement such as the ability of students to contribute to their teaching and learning. Despite these advantages, challenges associated with online learning such as balancing life commitments, confidence, students’ approach to learning, high investment costs in resources, motivation, competences of lecturers and students, interest of lecturers and students and efficacy of lecturers and students cannot be ignored. The authors therefore recommend that effective and efficient online learning requires the correct blend of online learning tools accompanied by the correct engagement strategies.

As online learning is the embryonic form of education in the metaverse, it is extremely important to explore the behavioral preferences of users. The aim is to explore the impact of interactive features on continuous use in online learning and to further explore what kind of interaction mode should be constructed for different types of students to obtain the best educational experience.

The study developed an empirical model and used a real-world dataset to test hypotheses. Specifically, the interaction in online learning is analyzed from different dimensions, including the interaction intensity of multiple subjects, the immersion of interactive technology, the timeliness of interactive feedback, and the fun in interaction.

The authors found that the intensity of interaction, immersion, timeliness of feedback and fun in the interaction all had significant positive effects on continuous use. Among them, the most important is the interaction between teachers and students. With the growth of user grades, the role of parents in the interaction is getting smaller and smaller, and the fun in the interaction is gradually becoming unnecessary. For high school students, gamified interactions can even have a negative impact. In addition, from the perspective of gender, males prefer immersive interaction, while females pay more attention to themselves and have negative feedback on fees.

The authors deepened the interaction and summarized the impact of different interactive features on continuous use in online learning platforms. The authors focused on the impact of the immersive experience brought by the application of interactive technology, which can confirm the user behavior preferences of online learning in the context of the metaverse. The research also provides a reference for online learning institutions to set up course interaction modes and targeted marketing programs.

This study aims to uncover divergent collaboration in makerspaces using social network analysis to examine ongoing social relations and sequential data pattern mining to invesitgate temporal changes in social activities.

While there is a significant body of qualitative work on makerspaces, there is a lack of quantitative research identifying productive interactions in open-ended learning environments. This study explores the use of high frequency sensor data to capture divergent collaboration in a semester-long makerspace course, where students support each other while working on different projects.

The main finding indicates that students who diversely mix with others performed better in a semester-long course. Additional results suggest that having a certain balance of working individually, collaborating with other students and interacting with instructors maximizes performance, provided that sufficient alone time is committed to develop individual technical skills.

These discoveries provide insight into how productive makerspace collaboration can occur within the framework of Divergent Collaboration Learning Mechanisms (Tissenbaum et al., 2017).

Identifying the diversity and sequence of social interactions could also increase instructor awareness of struggling students and having this data in real-time opens new doors for identifying (un)productive behaviors.

The contribution of this study is to explore the use of a sensor-based, data-driven, longitudinal approach in an ecologically valid setting to understand divergent collaboration in makerspaces. Finally, this study discusses how this work represents an initial step toward quantifying and supporting productive interactions in project-based learning environments.

This study investigated the online interaction between students and teachers as well as student interaction preferences, student perceptions of learning and of online classes, and student performance. High school students, in an online world history course, participated in multiple activities that offered opportunities to interact with their teacher and classmates. Data was collected throughout the action research using student surveys, participant interviews, teacher records of daily interaction, pretests and posttests, and assignment grades. Students indicated that interaction with the teacher was very important, while interaction with their peers was less vital to learning. Interaction appeared to have little effect on student performance. Although this study took place over a three-week period rather than over an entire semester (e.g., Pelowski, Frissell, Cabral, & Yu, 2005; Picciano, 2002), results indicate that high school students may view online interaction differently than their counterparts in higher education (Northrup, 2002; Swan, 2002).

The purpose of this study is to examine similar and/or different perspectives on, and practices of online-learning interaction as projected by the participating educators who are from either Korea or the USA.

In this study, the authors analyzed how college instructors from two countries, Korea and the USA, consider the role of online-learning interaction in their students' learning by interviewing nine instructors from both countries. The authors examined the educators' responses using constructivism and Confucianism as the frame of reference.

The analysis showed that the US instructors tend to focus on learner-to-learner interaction, whereas Korean instructors emphasized teacher-to-learner interaction. Korean instructors perceived a gap between ideal and reality in integrating interaction as a part of online activities in the course.

This study focuses on a cross-national comparison of online-learning interaction between Korea and the USA. Thus, it will provide practical ideas for global or multicultural user experiences on online-learning courses.

Breakout rooms are commonly used by lecturers as a means to achieve collaborative learning in online lessons. Although breakout rooms can be effective at encouraging student engagement, interaction and learning, many students dislike being forced to interact with peers, and for some students, it can lead to feelings of anxiety and stress. Successful collaborative learning depends upon having the “right” individuals working together, so the purpose of this research is to identify specific learner attributes that are associated with purposeful interpersonal interaction in breakout rooms.

An online survey was used to obtain data from 664 higher education students in the USA, which were analyzed using partial least squares structural equation modeling (PLS-SEM).

Students' technology readiness, social identification and intercultural communication competence are each significantly related to the achievement of purposeful interpersonal interaction, which is strongly related to students' perceived learning.

The findings of this research emphasize the importance of lecturers considering learner attributes when forming breakout room groups.

The breakout room represents a unique and specific context for collaborative learning, where there may be minimal lecturer supervision and where students may choose to disengage by turning off their cameras and microphones or simply listen without participating (known as lurking). The existing literature has given little attention to how lecturers allocate students to online breakout rooms.

This exploratory study examined informal learning opportunities that exist within student organizations. The researchers specifically isolated academic organizations and the interactions between students and faculty that may occur in this context. Findings indicate that 81% of participants experienced interactions with faculty within the context of their academic organizations and students who hold leadership positions are more likely to experience interactions with faculty compared to general members. The results suggest that informal learning opportunities do exist and can be identified by using the Informal and Incidental Learning Model (Marsick & Watkins, 2001). By identifying these opportunities leadership educators can design purposeful activities within student organizations to better promote development and growth.

This study aimed to investigate Jordanian university students' interaction, Internet self-efficacy, self-regulation and satisfaction regarding online education during the COVID-19 pandemic.

A correlational cross-sectional design was utilized using convenience sampling to include 702 undergraduate students from Jordanian universities using an online self-administered questionnaire. Descriptive statistics, T-tests, one-way ANOVA and multiple regression analyses were used to analyze the data.

The mean score of students' satisfaction was low (m = 45.14, SD = 25.62). Regarding student's interaction, learner-instructor interaction had the highest total mean score (m = 58.53, SD = 24.51), followed by learner-learner interaction (m = 47.50, SD = 22.64). Learner-content interaction had the lowest total mean score (m = 45.80, SD = 24.60). Significant differences in students' satisfaction were identified according to the level of education, university type and marital status. Significant predictors of students' satisfaction with online education were self-regulated learning, Internet self-efficacy, learner-content interaction, learner-learner interaction and the number of e-learning theoretical courses.

Online education is not well-established in developing countries. This study contributed to the limited knowledge of university students’ preparedness and satisfaction with online education during the early stage of COVID-19 pandemic.

This study investigated how behavioral and emotional forms of engagement are associated with faculty support and student-faculty interactions among engineering students.

Quantitative research methods were used to analyze survey data from 781 undergraduates in seven large undergraduate engineering courses. Linear hierarchical regression models were used to evaluate the relationships between demographics (gender, race/ethnicity, family education, US status and transfer status) and student engagement and between faculty behaviors and engagement.

Faculty support was consistently, significantly and positively linked to all forms of student engagement, while student-faculty interactions were significantly and positively linked to effort and positive emotional engagement and negatively linked to attention and (an absence of) negative emotional engagement. Gender, race/ethnicity, international student status and transfer status significantly predicted at least one form of engagement.

Although this was a single institution study and cross-sectional, the findings suggest that faculty support and student-faculty interactions, while important for engagement, have different effects on different types of students. Faculty and teacher professional development efforts should raise awareness of these differences in order to enhance diversity and inclusion in engineering courses and curricula at all levels.

The analysis of behavioral and emotional forms of engagement represents more of a motivational lens on engagement in contrast to the traditional focus on time-on-task or time spent in fruitful educational practices, as is the norm with much of the engagement literature in higher education.