Search results

This study aims to explore the evolutionary pattern of discussion topics over time in an online depression self-help community.

Using the Latent Dirichlet Allocation (LDA) method, the authors analyzed 17,534 posts and 138,567 comments posted over 8 years on an online depression self-help group in China and identified the major discussion topics. Based on significant changes in the frequency of posts over time, the authors identified five stages of development. Through a comparative analysis of discussion topics in the five stages, the authors identified the changes in the extent and range of topics over time. The authors discuss the influence of socio-cultural factors on depressed individuals' health information behavior.

The results illustrate an evolutionary pattern of topics in users' discussion in the online depression self-help group, including five distinct stages with a sequence of topic changes. The discussion topics of the group included self-reflection, daily record, peer diagnosis, companionship support and instrumental support. While some prominent topics were discussed frequently in each stage, some topics were short-lived.

While most prior research has ignored topic changes over time, the study takes an evolutionary perspective of online discussion topics among depressed individuals. The authors provide a nuanced account of the progression of topics through five distinct stages, showing that the community experienced a sequence of changes as it developed. Identifying this evolutionary pattern extends the scope of research on depression therapy in China and offers a deeper understanding of the support that individuals with depression seek, receive and provide online.

The purpose of this paper is to examine the impact of word-of-mouth (WOM) types, WOM valence, content types and discussion topics of user posts on online engagement in two channels of a consumption community. The posts are composed by users on the discussion forum and shared to the Facebook channel of the consumption community by the administrators.

The data for this study were obtained from a popular car consumption community in Vietnam. A total of 505 user posts on the discussion forum were manually coded and assigned to WOM types, valence and content characteristics. The online engagement metrics were measured by the number of views and replies on the discussion forum, and the number of likes, comments and shares on Facebook.

The results indicate that the WOM types and valence have a significant impact on online engagement and the popularity of posts on Facebook is associated with the number of views on a discussion forum. The content type and discussion topic partially influence some factors of the online engagement metrics.

The findings are helpful for consumption community administrators to understand and manage their users’ engagement. Moreover, it indirectly supports brands and companies, since the consumption communities also include sub-communities of particular brands and marketers cooperate with consumption communities for their social media marketing strategies.

This research contributes to the literature of online engagement in two aspects. First, this study examines the impact of WOM types and valence. Second, this is the first study investigating the effects of posts by users within an information flow from a discussion forum to Facebook.

As most teachers realize, classroom discussions have limitations including time restraints, reserved participants, or domineering discussants. With the advent of Web 2.0, the opportunities for class discussion have expanded to include synchronous and asynchronous discussion boards, blogs, and wikis. Discussion forums, as an extension of classroom discussions and activities, allow teachers to target multiple social studies skills while giving students opportunities to expand their own historical understandings via peer interaction. Whether the goal is to address specific historical thinking skills or push students to think about what it means to be an active citizen in a diverse society, discussion forums can play an integral role in the development of students’ understanding of society. I describe the reasons for expanding discussion into these new mediums and provide examples of students’ online discussions. Recommendations are offered for teachers who would like to begin using discussion forums in their own classrooms.

Critical thinking is considered important in psychological science because it enables students to make effective decisions and optimizes their performance. Aiming at the challenges and issues of understanding the student's critical thinking, the objective of this study is to analyze online discussion data through an advanced multi-feature fusion modeling (MFFM) approach for automatically and accurately understanding the student's critical thinking levels.

An advanced MFFM approach is proposed in this study. Specifically, with considering the time-series characteristic and the high correlations between adjacent words in discussion contents, the long short-term memory–convolutional neural network (LSTM-CNN) architecture is proposed to extract deep semantic features, and then these semantic features are combined with linguistic and psychological knowledge generated by the LIWC2015 tool as the inputs of full-connected layers to automatically and accurately predict students' critical thinking levels that are hidden in online discussion data.

A series of experiments with 94 students' 7,691 posts were conducted to verify the effectiveness of the proposed approach. The experimental results show that the proposed MFFM approach that combines two types of textual features outperforms baseline methods, and the semantic-based padding can further improve the prediction performance of MFFM. It can achieve 0.8205 overall accuracy and 0.6172 F1 score for the “high” category on the validation dataset. Furthermore, it is found that the semantic features extracted by LSTM-CNN are more powerful for identifying self-introduction or off-topic discussions, while the linguistic, as well as psychological features, can better distinguish the discussion posts with the highest critical thinking level.

With the support of the proposed MFFM approach, online teachers can conveniently and effectively understand the interaction quality of online discussions, which can support instructional decision-making to better promote the student's knowledge construction process and improve learning performance.

This study examines whether online asynchronous discussion forums support student’s meaning-making about citizenship in a globalizing world. Citizenship is an increasingly contested identity for young people, yet they have few opportunities in traditional civic education to consider their own citizenship. Although online discussions are considered effective spaces for increasing dialogue and critical thinking between diverse students, there has been little research to understand how effective they are for helping students to construct new understandings of citizenship.

A content analysis approach was used to analyze and code 89 discussion board posts. The Interaction Analysis Model (IAM) coding scheme was used to describe and analyze the quality of knowledge construction that occurred across the posts focusing on different aspects of global citizenship.

The findings demonstrate that the discussion boards produced substantive talks about the meaning of citizenship that in some instances reached the level of new knowledge construction. The students considered different meanings for global citizenship and negotiated positions on key issues. However, the highest levels of knowledge construction were rarely reached.

A major implication is the need to organize and cue discussion boards to support knowledge construction in addition to fostering dialogue.

This study contributes to the role that technology can play in supporting students’ knowledge construction about global citizenship that go beyond the scripted meanings conveyed in civics classes.

A quasi‐experiment compared two instructional approaches for an existing MBA online business strategy course at an accredited university to answer the question: how can discussion questions become more effective in online MBA courses? The treatment was an instructional approach that integrated Socratic questioning and conversation theory in a discussion forum. This paper aims to document the research.

Correlation and ANOVA were utilized to test the hypothesis that more online experiential knowledge interactions would increase grade. Quasi‐experimental controls included prior ability and demographic factors (gender, age, ethnic race). The test group used Socratic questions and conversation theory while the control group used the traditional peer interaction. A statistically significant ANOVA model was created, using teaching method as a factor, to measure effect on grade.

The online interactions of the test group were higher and so was the mean grade. The MANCOVA model was able to pinpoint why. Prior ability was ruled out as a moderating factor.

The implications were cited as an increasing need to use high quality instructional methods for online courses, which requires student interaction. Experienced faculty are difficult (and expensive) to hire, and thus this represents an important requirement to identify for faculty development and selection during recruiting. The teaching method could work with other online e‐learning courses disciplines.

A solid scientific methodology was applied using advanced statistical techniques yet the explanations are very basic and clear. Socratic questioning and conversation theory were integrated as an instructional strategy to improve online MBA course interactions and grades.

This paper aims to elucidate the collaborative mechanism of knowledge collaboration in online communities. The effects of participant communication behaviors enabling knowledge collaboration, such as public discussion, private messaging and registration, are comprehensively investigated in relation to individual and group performances.

Eight communication categories of participants are defined according to their communication behaviors, and the average number of knowledge contributions at the individual level and the helpfulness toward collaboration efficiency at the group level are compared across the participant categories.

The results show that simultaneous participation in both task-oriented public discussion and relationship-oriented private messaging has a synergistic effect in promoting individual knowledge sharing, and that additional registration – disclosing one’s identity – significantly enhances efficiency in group collaboration. The role of public discussion appears to be as significant as that of private messaging with regard to online knowledge collaboration.

First, encouraging members to participate in both task-oriented discussion and casual personal communication is important for eliciting more knowledge contributions. Second, although social capital based on one-to-one private messaging has attracted much attention with respect to knowledge sharing, many-to-many public discussions that more deeply and broadly influence knowledge conversion should be more highly emphasized. Third, the perceptions of shared value and reputation based on registration also need to be cultivated to increase collaboration efficiency.

In contrast to most previous research that focused on only one type of communication, this study offers a big-picture view of the relationship between communication and online knowledge collaboration by adopting a comprehensive approach to participant communication behavior. A systematic classification of communication behaviors enables this work to illuminate the diverse effects of different communication types or styles on both individual- and group-level performances, thereby improving the understanding of the overall collaborative mechanism. This study thus provides fresh insights on effective management of online communities.

This paper aims to investigate the following questions: What are the types of discussion prompts in a fully online graduate course? What are the key characteristics of students’ discussion initial posts and replies in a fully online graduate course? In what ways, if any, do discussion prompts influence the types of initial posts and replies in discussion threads?

This study adopted a qualitative approach to explore the dynamics of students’ knowledge construction through using asynchronous discussion boards. A total of 20 discussion prompts and 115 discussion threads from nine archival discussion boards in a fully online library science course were collected and analyzed.

The findings identified open-ended, explanatory and reflective prompts in discussion boards. Students engaged in simply stating, paraphrasing, elaborating, extending, reflecting, socializing and sharing emotions in discussion posts. These findings highlighted the interconnectedness of reflection and socio-emotional interactions in a community of inquiry and pointed out their important roles to support richer and deeper online discussions. The study further observed linkages between the types of discussion prompts and the types of discussion posts.

This study addressed an urgent need to understand the use of online discussion boards in an emergency remote teaching condition in a pandemic. The findings of this study offered educators insights into evidence-based design recommendations for prompts to support students’ knowledge construction and deep learning through using discussion boards.

The purpose of this paper is to analyse how consumer emotions towards innovation change over online discussions.

This is an empirical study based on substantial data collected from 22 discussion forums, of which the ten longest discussions on heart-rate monitors were chosen for further qualitative analysis.

The results show that a variety of consumer emotions can be detected in online discussions. Negative emotions clearly seem to dominate and be generally stronger than those that are positive. The results also show how product, company and behaviour enabled by the product (in this case, training) evoke different emotions in customers.

The study focuses only on emotional expressions presented by consumers online. However, the analysis of consumers’ basic emotions, their evolution and grounds can be transferred to other settings in which interaction among customers is studied; for example, in focus group interviews.

Results show how negative emotions felt towards a product rapidly tend to extend to anger and frustration targeted at the respective firm. This highlights the importance of company intervention.

By analysing the change of emotions longitudinally, the authors are able to show the increase of anger over online discussions. The authors show how the target of emotion changes and how emotions spread from customer to customer.