Search Results (8)

This study aimed to understand how different dimensions of online learning engagement were influenced by learners’ self-regulated learning (SRL) and their perceptions of teaching, cognitive, and social presence in the community of inquiry (CoI) framework. A structural equation modelling analysis of survey responses from 154 online Chinese-as-a-foreign-language learners showed that the level of learners’ SRL positively influenced their perceptions of teaching, cognitive, and social presence and consistently directly impacted all dimensions of students’ learning engagement. Regarding the different dimensions of engagement, learner’ perceived CoI had different mediating effects. Affective engagement was influenced by learners’ perceptions of cognitive and social presence, while social engagement was influenced by learners’ perceptions of social presence. Cognitive and behavioural engagements were influenced by learners’ perceptions of teaching presence. The results highlight the importance of SRL in the CoI framework for enhancing learning engagement, suggesting integrating SRL training into instructional design in the online learning environment. In addition, the effects of various dimensions of the CoI framework on learning engagement inform pedagogical implications to enhance online learning engagement, such as building an online learning community to strengthen affective and social engagement while strengthening teaching presence to improve cognitive and behavioural engagement. Full article

This study investigated Earth science students’ experiences with online education during the COVID-19 pandemic at the University of Tennessee, Knoxville, in the US. We used an existing survey from the online education literature, the Online Learning Environment Survey (OLES), which consists of three instruments: (a) community of inquiry (CoI), (b) Institutional Support (IS), and (c) Self-Directed Online Learning Scale (SDOLS). The survey rating subscales ordered from highest to lowest are autonomous learning, asynchronous online learning, institutional support, teaching presence, social presence, and cognitive presence, respectively, indicating interest for the online learning environment. Among all of the subscales, the asynchronous online category was rated the highest by the students. The data were then analyzed using Rasch modeling. According to the Rasch analyses, asynchronous online teaching represents the most favorable course delivery technique for geoscience education. Overall, the survey data show a general interest in online delivery and the effectiveness of the modality, thus indicating potential for evolving into an online Earth science program. Finally, also discussed are possible future extensions of the research (e.g., extending the research to other introductory online geoscience courses). Full article

In response to the transformative impact of digital technology on education, this study introduces a novel performance management framework for virtual learning environments suitable for the metaverse era. Based on the Structural Equation Modeling (SEM) approach, this paper proposes a comprehensive evaluative model, anchored on the integration of the Theory of Planned Behavior (TPB), the Unified Theory of Acceptance and Use of Technology (UTAUT), and the Community of Inquiry Framework (CoI). The model synthesizes five Key Performance Indicators (KPIs)—content delivery, student engagement, metaverse tool utilization, student performance, and adaptability—to intricately assess academic avatar performances in virtual educational settings. This theoretical approach marks a significant stride in understanding and enhancing avatar efficacy in the metaverse environment. It enriches the discourse on performance management in digital education and sets a foundation for future empirical studies. As virtual online environments gain prominence in education and training, this research study establishes the basic principles and highlights the key points for further empirical research in the new era of the metaverse educational environment. Full article

Research has shown that creating an online learning community is vital in Model-Based Systems Engineering (MBSE) training programs and can be facilitated via the Community of Inquiry (CoI) framework. For professional learners, an online learning community is influenced by their organizational affiliations. The purpose of this research is to explore learning experiences in groups of professional learners with different and homogenous organizational affiliations in an asynchronous online MBSE module. Through the case study methodology, this research examines four sources of data from two cases: Case 1—learners from different organizations (n = 7); and Case 2—overwhelming majority of learners from the same organization (n = 19). Results showed that learners from the same organization reported higher social presence, which, in turn, corresponded to a higher cognitive presence and higher motivation for future MBSE learning. Based on our findings, we recommend that organizations seeking MBSE adoption coordinate with online course providers to create cohorts to participate in the same offerings to facilitate the process of learning community building. We also recommend MBSE course providers facilitate social interaction on multiple communication platforms and create orientation activities for learners from different organizations to promote social presence. Full article

The digital educational environment is not new in the modern world, but in the context of the COVID-19 pandemic, the transition to online learning has become necessary and fast. This offered the possibility to study various characteristics of objects and subjects in the digital educational environment. During the pandemic, universities worldwide were forced to switch to online learning, creating a global educational experiment with results to be comprehended and theoretically reflected upon. The significance of this scientific reflection is important for understanding the characteristics and factors that influence student satisfaction with online learning, as well as for anticipating possible ways to improve its effectiveness. This research aimed to study the characteristics of satisfaction with online learning during the COVID-19 pandemic in connection with the elements of the Community of Inquiry (CoI) online learning model. The study involved 808 students (M = 22.5, SD = 2.4 (53.3% men)) from 6 countries (Serbia—30.8%, Bosnia and Herzegovina—8.5%, Croatia—8.9%, Romania—21.8%, Russia—25.2%, Slovenija—4.7%). A total of 808 students responded to a questionnaire measuring the levels of cognitive, social, and teaching presence in distance learning. Satisfaction with online learning has been shown to positively correlate with cognitive, social and teaching presence, and overall CoI presence. The results of the Kruskal-Wallis test showed that satisfaction with online learning does not differ among students with different levels of academic performance; however, the subjective assessment of the element of social presence “Tools and platforms for online learning allow students to work with each other” is significantly higher among students with low academic performance. Satisfaction with online learning and the elements of the CoI model is different in study groups with varying degrees of online learning presence, as well as different in students whose training included different elements of online learning. The conclusions obtained in this study will make it possible to organize the digital educational environment more effectively by managing the elements of the CoI model. Full article

Teaching and learning online is quite challenging. Both require an additional capacity and effort to withstand ongoing engagement in a virtual learning environment. Nonetheless, there have been cases of dissatisfaction with virtual learning environments due to the lack of engagement and poor interaction between the instructor, students, and content, which may affect how students learn online. This study presents a cross-sectional survey that was designed to re-examine the theoretical model of the Community of Inquiry (CoI), and to examine the structure of course satisfaction using SmartPLS 3.3.8 for multivariate statistical analysis. The CoI and the course satisfaction instruments were adapted in this study. The reflections of the CoI are then assumed to form type II second-order constructs to determine their effect on student satisfaction with the course. The findings revealed that teaching, social, and cognitive presence in the CoI have a significant influence on students’ satisfaction with the courses that they are enrolled in. These results provide a direction for further research on the CoI in online learning by extending a framework that incorporates online learners as one of the essential stakeholders in education. Therefore, the results presented here are only applicable to certain courses, and it would be meaningful to investigate academic achievement and motivation, and to compare them between specific courses or subjects to find out which courses have lower or higher levels of presence. Full article

One of the greatest ways to transform education systems is to develop community-centered professional supports for in-service teachers. Given the rise of distance learning platforms such as massive open online courses (MOOCs), there is a growing potential to deliver such supports at scale. The community of inquiry (CoI) framework models the asynchronous, text-based communication that defines educational experiences within such collaborative learning environments; however, methods of CoI transcript analysis must be improved. This paper uses the University of Helsinki’s 2016 MOOC, Sustainable Energy in Education, as a case study on how the CoI framework can be used to characterize the educational experience of in-service teachers in distance learning environments. Using the CoI coding protocol, this paper employs a transcript analysis of the discussion forum posts on the MOOC (n = 78), and applies improved measures of reliability in order to understand the capacity of CoI transcript analysis to reliably define online learning experiences. The findings suggest that, while the CoI framework is able to characterize some elements of online learning communities, more work needs to be done to ensure the framework captures the more nuanced elements of such educational experiences, such as the effects of course design and the relative engagement of course participants. Full article

Designing and implementing successful online learning has been at the forefront of institutional agendas since digital learning increased in market demand over the last decade. However there is still ongoing debate as to the “how” of this arduous task. The Community of Inquiry (CoI) is one learning design method that has seen potential in the field, but practical implementation of designing for the important components of Social, Cognitive and Teaching Presence have yet to be fully realised. This paper researches an e-learning design strategy called E-tivities as a suggested possible method for designing for CoI components. The research explored recent online blog posts of experienced learning designers’ and educators’ experience in designing successful online learning using E-tivities. Results suggest the E-tivities do have the potential to cater for all Presences of CoI. Specifically when using E-tivities to design online learning Affective Expression was the highest reported Social Presence design factor. All four components of Cognitive Presence appeared to be present in E-tivities design. The most important component for adequate Teaching Presence factors was the initial Design and Organisation of the course. E-tivities and the 5-Stage Model provides a solid framework for this to occur. Full article