Applying a process for the shared understanding construction in computer-supported collaborative work: an experiment

Agredo-Delgado, Vanessa; Ruiz, Pablo H.; Mon, Alicia; Collazos, César A.; Moreira, Fernando; Fardoun, Habib M.

doi:10.1007/s10588-021-09326-z

Cited by 6 publications

(6 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…5 ) and how to transfer corresponding knowledge to ones linked directly). Furthermore, individual behaviors are diverse, heterostructure, and time-varying (Agredo-Delgado et al, 2021 ; Lucas & Nordgren, 2020 ). So, the precise and profound law of collective behavior is much more difficult.…”

Section: Emergent Complexity Of a Collective Due To Individual Intera...mentioning

confidence: 99%

Complex behavior of individuals and collectives in a social system: An introduction to exploratory computational experimental methodology based on multi-agent modeling

Zheng

2023

Ann Oper Res

View full text Add to dashboard Cite

Although the multi-agent model has been used to analyze several economic and management problems, and the research results are regarded more profoundly, they all rely on certain scenarios. Once the scenarios are shifted to an unknown one, the results cannot be matched. In this paper, a new research method named exploratory computational experiment is introduced to resolve the problems coming from the social complex system, where individual’s behaviors are irrational, diverse, and complex, and collective behavior is dynamical, complex, and critical. Firstly, the foundation of the computational experiment is introduced, then several important problems, how individuals make the decision under complex environment, how collective behavior have emerged when different conflicts co-exist, and how to evaluate collect behaviors, are analyzed. To specify this new method, two examples of how to design a scientific mechanism to make the traffic system more effective and how is the evolution law of giant components in scale-free networks if the parameters are changed continuously. The results show that multi-agent modeling based on irrational behaviors controlled by individual dynamical game radius and memory length limited can describe the social problem more accurately, the exploratory computational experiment can give us more profound conclusions.

show abstract

Section: Emergent Complexity Of a Collective Due To Individual Intera...mentioning

confidence: 99%

Complex behavior of individuals and collectives in a social system: An introduction to exploratory computational experimental methodology based on multi-agent modeling

Zheng

2023

Ann Oper Res

View full text Add to dashboard Cite

show abstract

“…In addition, some researches also points out the importance of sharing and understanding among multiple individuals in collaborative learning. Therefore, it is speculated that collaborative learning may play an mediating role in the relationship between knowledge sharing and students' course satisfaction (Stahl, 2005;Agredo-Delgado et al, 2021). Through collaborative learning, students' thinking ability, communication ability, and teamwork skills will be improved by the end of the course, which will have a positive effect on their long-term development.…”

Section: Knowledge Sharing Collaborative Learning and Satisfactionmentioning

confidence: 99%

“…Collaborative learning should be a group of people working to achieve a common goal, and effective communication is an important basis for realize cooperation (Agredo-Delgado et al, 2021). In order to achieve the best group learning effect (Collazos et al, 2002), first of all, the teacher established a group for all students who choose the course through a mobile social app (such as DingTalk) at the beginning of the course to facilitate timely release of important notices and task requirements.…”

Section: Participants and Proceduresmentioning

confidence: 99%

How Do Mobile Social Apps Matter for College Students’ Satisfaction in Group-Based Learning? The Mediation of Collaborative Learning

et al. 2022

View full text Add to dashboard Cite

Recently, many universities apply mobile tools to teaching practices. For instance, some teachers may set up groups on mobile social apps and assign course tasks and advise college students to submit papers online. Nevertheless, how these mobile social apps affect teaching practices, especially the process of students’ satisfaction needs to be further explored. To fill this research gap, we build a theoretical model of how mobile social apps’ functions affect course satisfaction from the perspective of Media Richness theory and the Uses and Gratifications (U and G) theory. A total of 186 valid questionnaires from college students in China were collected, and a structural equation model was built to test our research model. The results show that as: (1) only the communication function has positive impacts on knowledge sharing, while the impact of the information storing function and information distribution function on knowledge sharing is not significant; (2) knowledge sharing does not affect course satisfaction in a direct way, but it can act indirectly through promoting collaborative learning, which shows the mediating role of collaborative learning. The theoretical implications and practical implications of the study are discussed.

show abstract

“…Collaborative interaction requires a shared understanding within the group. Agredo-Delgado et al (2021) used the results obtained through a specific experimental analysis to verify the feasibility and effectiveness of building shared understanding in problemsolving activities. It also applies to the value co-creation in online learning.…”

Section: Value Co-creation In Online Learningmentioning

confidence: 99%

How learner engagement impacts non-formal online learning outcomes through value co-creation: an empirical analysis

Wang

Mirzaei

et al. 2022

Int J Educ Technol High Educ

View full text Add to dashboard Cite

From the perspective of service science and its core concept of value co-creation, promoting learner engagement is critical for learning outcomes in a non-formal online learning environment. To promote online learning performance, we study how multidimensional learner engagement affects both instrumental and experiential learning outcomes. By incorporating the service-dominant logic perspective into the research model, we designed an online survey to investigate the impact of platform value co-creation on learners’ engagement outcomes. By employing a partial least squares-structural equation modeling (PLS-SEM), the results show that behavioral engagement, cognitive engagement, and emotional engagement have a significant impact on learning outcomes through the mediating effect of platform value, a second-order hierarchical latent variable. This study has multiple theoretical contributions and practical implications. First, we found new evidence that pursuing good learning outcomes in a non-formal online learning setting is not just a technological architecture or pedagogic guidelines, but also a “win–win” value co-creation process. Second, our results confirm the posited direct and indirect effects, thus evidencing functional value, emotional value, social value, and personalized value as components of the platform value construct, and it as a driver and mediator for better online learning outcomes. Third, our results underscore the importance of platform value in studying the impact of learner engagement on learning outcomes and provide a sharper theoretical lens to evaluate online learning platform value from the perspective of online learners.

show abstract

Applying a process for the shared understanding construction in computer-supported collaborative work: an experiment

Cited by 6 publications

References 30 publications

Complex behavior of individuals and collectives in a social system: An introduction to exploratory computational experimental methodology based on multi-agent modeling

Complex behavior of individuals and collectives in a social system: An introduction to exploratory computational experimental methodology based on multi-agent modeling

How Do Mobile Social Apps Matter for College Students’ Satisfaction in Group-Based Learning? The Mediation of Collaborative Learning

How learner engagement impacts non-formal online learning outcomes through value co-creation: an empirical analysis

Contact Info

Product

Resources

About