scholarly journals The Model of Collaborative Learning GRID to Activate Interactivity for Knowledge Building

2004 ◽  
Author(s):  
Toshio Okamoto ◽  
Mizue KAYAMA
Author(s):  
Antonio Santos Moreno

This chapter describes an instructional online collaborative learning model that addresses the phenomenon from a systemic human relations and interaction perspective. Its main purpose is to aid students in their social building of knowledge when learning in a CSCL environment. The model argues that knowledge building in a networked environment is affected by the communication conflicts that naturally arise in human relationships. Thus, the model is basically proposing a way to attend to these communication conflicts. In this line, it proposes a set of instructional strategies to develop the student’s meta-communication abilities. The concepts and instructional suggestions presented here are intended to have a heuristic value and are hoped to serve as a frame of reference to: 1) understand the complex human patterns of relationships that naturally develop when learning in a CSCL environment, and 2) suggest some basic pedagogical strategies to the instructional designer to develop sound online networked environments.


Author(s):  
Rodney Nason ◽  
Eearl Woodruff

The field of computer-supported collaborative learning (CSCL) has been growing in a number of areas and across a number of subjects (Koschmann, 1996; Koschmann, Hall, & Miyake, 2002; Wasson, Baggetun, Hoppe, & Ludvigsen, 2003). One of the most promising pedagogical advances, however, for online collaborative learning that has emerged in recent years is Scardamalia and Bereiter’s (1996) notion of knowledge-building communities. Unfortunately, establishing and maintaining knowledge-building communities in CSCL environments such as Knowledge Forum® in the domain of mathematics has been found to be a rather intractable problem (Bereiter, 2002b; Nason, Brett, & Woodruff, 1996). In this chapter, we begin by identifying two major reasons why computer-supported knowledge-building communities in mathematics have been difficult to establish and maintain.


2011 ◽  
pp. 1725-1731 ◽  
Author(s):  
Rod Nason ◽  
Eearl Woodruff

One of the most promising pedagogical advances for online collaborative learning that has emerged in recent years is Scardamalia and Bereiter’s (1996) notion of knowledge-building communities. Unfortunately, establishing and maintaining knowledge-building communities in computer-supported collaborative learning (CSCL) environments such as Knowledge Forum® (Scardamalia & Bereiter, 1998) in the domain of mathematics has been found to be a rather intractable problem (Bereiter, 2002a; Nason, Brett, & Woodruff, 1996).


Author(s):  
Hamdi Erkunt

Can a traditional college course be enhanced with online collaborative learning, with similar attributes to knowledge work in the modern world? Can students be engaged in semester long online collaborative work culminating their efforts in electronic portfolios that cannot be completed without the collective work of the whole group? Will some those students achieve a greater conceptual understanding of the domain than others? How will students react and adapt to kind of learning that aligns itself with assessment? These were the main questions driving the research with forty seven college level senior pre-service EFL teachers enrolled in an ELT materials development course, who were engaged in collaborative learning throughout a semester and prepared electronic portfolios consisting of their selection of best student work, all performed over a networked collaborative environment. The main goal is to probe further into the alignment of learning, collaboration, and assessment in computer forums within the framework of collaborative knowledge building. This chapter describes a knowledge-building environment (KBE) and the role of knowledge building portfolios in characterizing and scaffolding collaborative inquiry. What follows are some concise descriptions of the crucial concepts employed in the framework of this research. They are somewhat extended within the discussion section.


2015 ◽  
Vol 75 (3) ◽  
Author(s):  
Abdul Rahim Hj Salam ◽  
Faizal Yamimi Mustaffa ◽  
Tina Abdullah ◽  
Md. Sah Hj Salam

This paper shares the researcher’s experience in employing the technology supported face-to-face collaborative learning. In achieving this, a digital interactive audio capturing tool (DIACT) was used to digitally capture the interactive event of collaborative learning among English as second language (ESL) teacher trainees in a “Computer Integrated Classroom” (CiC) environment. Having merely online learning of computer support which ignores the elements of face-to-face (F2F), the impact of “collaboration” seems seriously lacking. With the emergence of DIACT in a CiC environment, the researcher attempts to see how those co-located ESL teacher trainees manage to effectively communicate face-to-face and collaborate among themselves to build knowledge. The interaction was captured and transferred to computer assisted qualitative data analysis software (CAQDAS) to be analyzed for evidence of impactful knowledge building. Findings indicated that the use of DIACT in a F2F CiC environment has significantly helped students in collaborative knowledge building.


2019 ◽  
Vol 44 (1) ◽  
pp. 62-89 ◽  
Author(s):  
Samar Ghazal ◽  
Hosam Al-Samarraie ◽  
Bianca Wright

Purpose The purpose of this paper is to address the major findings of published research on the factors influencing students’ knowledge building in an online collaborative environment. Design/methodology/approach The Preferred Reporting Items for Systematic Reviews and Meta-Analyses was used to review and synthesize existing empirical studies on knowledge building in a collaborative learning context. In total, 24 studies were identified from major electronic bibliographic databases. The research was conducted between 2017 and 2019. Results of these studies were analyzed to determine potential factors that may influence the knowledge-building process among students. Findings Factors related to interaction and participation, task, student and support were found to be the major factors driving students’ knowledge building in the online collaborative learning environment. The association between these factors and certain collaborative tasks was mapped. Originality/value Findings from this review can help decision makers of higher education in both developing and developed countries to take the necessary steps in order to promote effective knowledge-building practices in online collaborative learning. It may also help educational policy makers to understand the particulars of collaborative knowledge-building practices, so to increase organizational overall effectiveness and performance.


Author(s):  
Siti Rosni Mohamad Yusoff ◽  
Nor Azan Mat Zin

Learning Management Systems (LMS) are facing challenges to improve its traditional focus on individual learning towards social learning. Despite the great success in distributing learning materials and managing students, the availability of the read and write features of social networking applications had encouraged educators to move their learning spaces toward a more interactive applications. Collaborative learning builds its character from social learning, had been established as an activity that enhances students’ knowledge building, team learning and sharing of knowledge among peers. Developing online collaborative learning activity poses many challenges as this involves developing many components to support the learning environment. Therefore it is important to understand each component’s contribution to help guide students learning by themselves socially. Activity theory provides a descriptive framework to elaborate the process of the six components involved in an online collaborative knowledge building activity. This study combines quantitative and qualitative method to collect data from survey, system log and collaborative messages posted in the customised Learning Management System (LMS) called e-Kolaborasi System. Findings suggest that online collaborative learning instructions based on the LMS system were able to assist students in their online collaborative learning activities. Nevertheless the students could only abide the rules to conduct collaborative activities during two periods of time which are during their free time and after practical sessions. This response indicates the reasons as to why the students were not able to give quick feedbacks to their community members.


Comunicar ◽  
2014 ◽  
Vol 21 (42) ◽  
pp. 107-116 ◽  
Author(s):  
Teemu Leinonen ◽  
Eva Durall-Gazulla

This paper presents design thinking as an alternative approach to conduct research on collaborative learning with technology. The underlying premise of the paper is the need to adopt human-centered design principles in research and design of computer-supported collaborative tools. Two research results are described in order to discuss the possibilities and challenges of applying design methods for designing and researching collaborative knowledge building tools. The paper begins by defining collaborative learning with new technologies as a wicked problem that can be approached by adopting a design mindset. Design thinking and particularly research-based design relies on a shared, social construction of understanding with the people who will later use the tools. The key phases in researchbased design (contextual inquiry, participatory design, product design and software as hypothesis) are described and exemplified through the presentation of two research results. The two prototypes presented are the fourth version of the Future Learning Environment (Fle4), a software tool for collaborative knowledge building and Square1, a set of hardware and software for self-organized learning environments. Both cases contribute to the discussion about the role of artifacts as research outcomes. Through these cases, we claim that design thinking is a meaningful ap proach in CSCL research. El artículo presenta el pensamiento de diseño como un enfoque alternativo para realizar investigaciones sobre aprendizaje colaborativo con tecnología. Se describen dos resultados de investigación a fin de debatir las posibilidades y los retos de aplicar métodos de diseño para diseñar e investigar herramientas de construcción de conocimiento colaborativo. El texto comienza definiendo el aprendizaje colaborativo con nuevas tecnologías como un problema complejo que puede afrontarse mejor mediante la adopción de una actitud de diseñador. Se presenta el Diseño Basado en la Investigación (DBI) como un ejemplo de pensamiento de diseño basado en la construcción social del conocimiento con las personas que más adelante utilizarán las herramientas. Se describen las fases clave que caracterizan el método DBI (investigación contextual, diseño participativo, diseño de producto y software como hipótesis) y defiende la necesidad de adoptar un enfoque de diseño centrado en las personas. Los dos prototipos presentados son la cuarta versión de Future Learning Environment (Fle4), un software para la construcción de conocimiento colaborativo, y Square1, un conjunto de dispositivos y aplicaciones para entornos de aprendizaje auto-organizados. Ambos son ejemplos de DBI y contribuyen a la discusión sobre el rol de los artefactos como resultados de investigación. A través de estos casos, se afirma que el pensamiento de diseño es un enfoque significativo en la investigación sobre el aprendizaje colaborativo mediado por ordenador.


2019 ◽  
Vol 8 (2) ◽  
Author(s):  
Milton Campos

This article presents a discourse analysis method designed to study networked cognitive communication processes in knowledge communities, such as conceptual change, higher order learning and knowledge building. The method is grounded on genetic epistemology and integrates constructivist and socioconstructivist theoretical concepts. The sentence (understood as judgment) is chosen as the unit of analysis, and the application of the method is further explained. In addition, a study of transcripts in an asynchronous networked community of nurses illustrates the method and demonstrates how conceptual change, collaborative learning and knowledge building can be identified. Advantages and limitations of the method are also discussed.


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