Epistemic activities and collaborative learning: towards an analytical model for studying knowledge construction in networked learning settings

The aim of this paper is to provide an analytical model for studying knowledge creation among geographically dispersed students in an online postgraduate programme by using the concept of epistemic activity. Rooted in qualitative methodologies, it takes a case study approach which strengthens the grounding of theory on social learning by using triangulation of evidence from online discussions and seven semi‐structured interviews. The analytical model that emerges, distinguishes a set of moves that serve understanding negotiation of meaning and co‐construction of knowledge in online discussion. The findings of the study suggest that knowledge advancement processes can be understood as part of identifying key strategies in the form of online epistemic activities for postgraduate learners in a networked learning context. The paper offers a conceptual account for researching knowledge construction in higher education.     

Integrating computer‐supported collaborative learning into the classroom: the anatomy of a failure

We present an analysis of a longitudinal case study whose aim was to understand the processes of integration of a face‐to‐face and networked collaborative learning technology and pedagogy into a secondary school history‐geography classroom. Students carried out a sequence of argumentative tasks relating to sustainable development, including argument generation, sharing and elaboration, debate using a computer‐mediated communication, and organization of arguments in a shared diagram. Students' interactions and diagrams were analysed in terms of degree and quality of argumentativity, as well as catachresis (‘getting round’ the software to perform a non‐prescribed task). Results run counter to positive systems of ideas and values concerning collaborative learning and its technological mediation in that the scenario did not meet its pedagogical aims, having to be abandoned before its planned end. We discuss possible explanations for this ‘failure story’ in terms of the articulation between everyday, technology‐related and educational discourse genres, with their associated social milieux, as well as the social structure of the classroom. The relevance of these aspects for future attempts to integrate such technologies is discussed. In conclusion, we discuss a vision of learning that takes into account students who do not accept to play the educational game.     

Knowledge exchange in the shrines of knowledge: The “how’s” and “where’s” of knowledge sharing processes

Academic conferences are places of situated learning dedicated to the exchange of knowledge. Knowledge is exchanged between colleagues who are looking to enhance their future research by taking part in several formal and informal settings (lectures, discussions and social events). We studied the processes of knowledge sharing and the influence of the use of IT at the International Conference of Information Systems (ICIS2007) held in Montréal. We describe the categories of knowledge content shared at the conference. Two forms of knowledge sharing were analyzed: formal, guided, planned knowledge sharing in lectures or discussions, and informal knowledge exchange during social events. Data were collected from 274 participants at the conference. The intensity of knowledge sharing in the formal settings was higher compared to the informal settings and was perceived as contributing to future research and to the creation of social relationships. In contrast, informal knowledge sharing contributed mainly to job enhancement and to the initiation of meetings. The discussion centers on planning and evaluating conferences in terms of seeking, creating and sustaining knowledge sharing.     

Collaborative concept mapping activities in a classroom scenario

The aim of this study is to test collaborative concept mapping activities using computers in a classroom scenario and to evaluate the possibilities that Elkar-CM offers for collaboratively learning non-technical topics. Elkar-CM is a multi-lingual and multi-media software program designed for drawing concept maps (CMs) collaboratively. Concept mapping is a widely accepted technique that promotes meaningful learning. Graphically representing concepts of the learning domain and relationships between them helps students integrate new knowledge into their current cognitive structure. This study was carried out with Social Education degree students at the University of the Basque Country (UPV/EHU). The experiment included two learning activities. First, all students collaboratively constructed in the classroom a CM on the subject of Moral Development. Second, students were organised into groups to complete the CM generated in the first part.     

Online collaborative learning in dyads: Effects of knowledge distribution and awareness

Research on collaborative learning traditionally assumes a certain degree of symmetry between the learning partners in terms of both their learning-relevant traits and their individual learning outcomes. However, if one collaborative partner is clearly more able, skilled, or knowledgeable than the other partner, then it remains unclear who profits more from the collaboration. The present study aimed to explore this issue by manipulating symmetry in prior knowledge within small groups of online learners (dyads) and measuring their problem-solving efficiency and incidental learning gain on an individual and dyad level. Awareness of this symmetry/asymmetry was manipulated, too, to discern it as a potential moderator. Dyads with symmetrical and asymmetrical prior knowledge performed equally well on most measures. Moreover, on average, the more and the less knowledgeable partners in the asymmetrical conditions had equal learning gains. However, while in dyads with symmetrical knowledge learning gains were correlated between the partners, in the asymmetrical dyads they were not. Awareness of symmetry/asymmetry did not act as a moderator, but, overall, dyads with awareness of each other's knowledge learned more from each other than dyads without such awareness. The benefit of awareness was, however, specific to the learning content exposed via awareness. We conclude that researchers and practitioners should be careful when choosing or assigning collaborative partners to each other, as only for partners with symmetrical prior knowledge can a symmetrical increase in knowledge be expected. We further discuss the implications of these findings for research on knowledge awareness and collaboration.     

Facilitating peer knowledge modeling: Effects of a knowledge awareness tool on collaborative learning outcomes and processes

We report an empirical study where we investigated the effects, on the collaborative outcomes and processes, of a cognition-related awareness tool providing learners with cues about their peer’s level of prior knowledge. Sixty-four university students participated in a remote computer-mediated dyadic learning scenario. Co-learners were provided (or not) with a visual representation of their peer’s level of prior knowledge through what we refer to as a knowledge awareness tool (KAT). The results show that, providing co-learners with objective cues about the level of their peer’s prior knowledge positively impacts learning outcomes. In addition, this effect seems to be mediated by the fact that co-learners provided with these objective cues become more accurate in estimating their partner’s knowledge - accuracy that predicts higher outcomes. Analyses on the process level of the verbal interactions indicate that the KAT seems to sensitize co-learners to the fragile nature of their partner’s as well as their own prior knowledge. The beneficial effect of the KAT seems to mainly rely on this induction of epistemic uncertainty that implicitly triggers compensation socio-cognitive strategies; strategies that appear to be beneficial to the learning process.     

基于经验知识的Q-学习算法

为了提高智能体系统中的典型的强化学习Q-学习的学习速度和收敛速度,使学习过程充分利用环境信息,本文提出了一种基于经验知识的Q-学习算法.该算法利用具有经验知识信息的函数,使智能体在进行无模型学习的同时学习系统模型,避免对环境模型的重复学习,从而加速智能体的学习速度.仿真实验结果表明:该算法使学习过程建立在较好的学习基础上,从而更快地趋近于最优状态,其学习效率和收敛速度明显优于标准的Q-学习.     

Users’ attitudes toward Web-based collaborative learning systems for knowledge management

The Web-based technology is a potential tool for supported collaborative learning that may enrich learning performance, such as individual knowledge construction or group knowledge sharing. Thus, understanding Web-based collaborative learning for knowledge management is a critical issue. The present study is to investigate learners’ attitudes toward Web-based collaborative learning systems. Based on this research, the results of factor analysis show that five attitude factors (system functions, system satisfaction, collaborative activities, learners’ characteristics, and system acceptance) should be examined at the same time when building a Web-based collaborative learning system. The results also provide an acceptance model for understanding users’ behavioral intention of facilitating Web-based collaborative systems.     

Roles as a structuring tool in online discussion groups: The differential impact of different roles on social knowledge construction

This study focuses on stimulating social knowledge construction in e-discussions and examines the introduction of five roles: starter, summariser, moderator, theoretician, and source searcher. Asynchronous discussion groups of 10 1st-year students Instructional Sciences were organised to foster students’ processing of the learning content. Four successive authentic tasks of three weeks each were presented. Taking into account the moment of introduction of the role assignment (at the start of the discussions versus at the end), the differential impact of the roles on knowledge construction is studied through quantitative content analysis based on the interaction analysis model of Gunawardena, Lowe, and Anderson (1997). The results show a positive effect of role assignment on students’ social knowledge construction at the start of the discussions. This implies that roles should be introduced at the start of the discussions and can be faded out towards the end. With respect to the differential impact of the roles, the results show that messages from moderators, theoreticians, and summarisers reflect higher levels of knowledge construction at the start of the discussions. Even students without a role in role-supported groups benefit from the role introduction.     

Computational Modeling and Analysis of Knowledge Sharing in Collaborative Distance Learning

This research aims to support collaborative distance learners by demonstrating how a probabilistic machine learning method can be used to model and analyze online knowledge sharing interactions. The approach applies Hidden Markov Models and Multidimensional Scaling to analyze and assess sequences of coded online student interaction. These analysis techniques were used to train a system to dynamically recognize (1) when students are having trouble learning the new concepts they share with each other, and (2) why they are having trouble. The results of this research may assist an instructor or intelligent coach in understanding and mediating situations in which groups of students collaborate to share their knowledge.     

Effects of information technologies,department characteristics and individual roles on improving knowledge sharing visibility: a qualitative case study

Knowledge sharing visibility (KSV) is a critical environmental factor which can reduce social loafing in knowledge sharing (KS). This is especially true in ICT-based KS in learning organisations. As such, it is imperative that we better understand how to design technology enabled knowledge management systems (KMS) to support high KSV. This article examines the impact of knowledge management technology functions (e.g. tracking, knowledge storing) on KSV through qualitative analysis of 16 semi-structured interviews with participants in a Chinese company. Impact and implications of use for their existing KMS are examined. This article also examined the effects of department characteristics (i.e. group size and task characteristics) and individual roles (i.e. employee positions) on the IT–KSV relationship. Results encourage applied statistical, tracking, knowledge distribution and knowledge storing functions for monitoring explicit KS, and suggest integration of visualised knowledge maps with communication tools (e.g. Instant Messenger (IM)) to support visibility for implicit KS. Findings also suggest that KM technologies are more salient on improving KSV in large department with routine tasks, and that low-level employees may have more positive attitude on accepting communication tools on sharing knowledge. Extension to use of Web 2.0 technologies (e.g. weblogs) in KMS is also explored.     

Collaborative knowledge construction in the web supported by the KnowCat system

This paper presents a research study carried out to support and structure virtual interaction among university students that may trigger collaborative knowledge construction in the Web, supported by a CSCL system called KnowCat. Three characteristics of the KnowCat system are relevant to our educational purpose: firstly, students can share and consult their documents, enabling them to find out how their classmates have accomplished a specific task; secondly, students can express their opinion about any document in the system. These opinions have been used in our study as explicit assistance, or scaffold, which one student gives another in order to improve his/her work. Thirdly, the KnowCat system supports students with coordinating their perspectives on specific knowledge through a mechanism called Knowledge Crystallisation, which organises community knowledge as a result of their participants’ interactions.     

Strategies for collaborative writing and phases of knowledge construction in CSCL environments

Within the framework of research that describes the processes of collaborative knowledge construction in computer-supported collaborative learning (CSCL) environments, the present work has three objectives: (i) the identification of the strategies of six small groups of university students for the elaboration of written products in a CSCL environment; (ii) seek relations between the identified writing strategies and the processes and phases of collaborative knowledge construction in the groups; and (iii) relate these strategies and phases with the learning results obtained by the groups. We carried out a multiple-case study, with the analysis of four different didactic sequences, in two different virtual learning and teaching settings. In each setting, three student groups were studied, where each had to collaboratively develop between four and eight written products. For all the studied groups, the analysis enabled the identification of five types of strategies in the preparation of the elaboration of written products, and four types of phases of collaborative knowledge construction, which are interrelated and also connected with the grades that the groups obtained in each case.     

Understanding knowledge-sharing breakdowns: a meeting of the quantitative and qualitative minds

Abstract The rapid advance of distance learning and networking technology has enabled universities and corporations to reach out and educate students across time and space barriers. Although this technology enables structured collaborative learning activities, online groups often do not enjoy the same benefits as face‐to‐face learners, and their instructors often do not have time to actively support and mediate the online collaboration. This article demonstrates our capacity to computationally model, analyse, and support online student interaction, in particular knowledge sharing. A unique combination of qualitative analysis and artificial intelligence methods was designed to (a) recognize when students are having trouble learning the new concepts they share with each other, and (b) understand why they are having trouble, so that we might assist an instructor or intelligent coach in mediating group knowledge‐sharing activities.     

From handheld collaborative tool to effective classroom module: Embedding CSCL in a broader design framework

The field of Computer Supported Collaborative Learning (CSCL) includes designers who emphasize effectiveness, measured via experiments, as well as designers who emphasize context and conduct qualitative research on teaching and learning practices. We conjectured that these two different emphases could be fruitful combined in a research and development process aimed at producing effective CSCL practices. We explored this possibility in a project that adapted a CSCL tool from Chile to serve as the basis of an effective 3-week classroom module for primary school mathematics in the United States. To go from tool to module, we addressed curricular fit, training materials, pedagogical guidance, formative and summative assessments, and logistical support. In conducting the project, we found that effectiveness and contextual research could be conducted simultaneously and yielded complementary insight to this design process, which enabled our project to rapidly move from the base tool towards complete classroom modules. An experiment we conducted after our design iterations showed that students who used the modules learned more about the target content, fractions. A retrospective analysis of our design process suggests that the Integrative Learning Design framework is useful for organizing the complementary components of effectiveness and contextual research in our design process.     

Interactivity in the classroom and its impact on learning

The term ‘interactive’ appears in two distinct strands of educational research discourse: one concerning pedagogy and the other concerning new technologies in education. As new technology increasingly pervades most classrooms in the UK, it seems likely that it would be fruitful to explore, both theoretically and empirically, links between the concepts of ‘interactive teaching’ and ‘interactive technology’.     

A knowledge based component/service repository to enhance analysts’ domain knowledge for requirements analysis

Knowledge of the business domain (e.g., insurance claim, human resources) is crucial to analysts’ ability to conduct good requirements analysis (RA). However, current practices afford little assistance to analysts in acquiring domain knowledge. We argue that traditional reuse repositories could be augmented by adding rich faceted information on component/services and artifacts such as business-process templates to help analysts acquire domain knowledge during RA. In this paper, we present the design of a Knowledge Based Component Repository (KBCR) for facilitating RA. Then, we report on the design and development of a KBCR prototype. We illustrate its application in a system that is populated with components and process templates for the auto insurance claim domain. An empirical study was conducted to assess its effectiveness in improving RA. Results showed that KBCR enhanced analysts’ business domain knowledge and helped them better prepare for RA. Our key research contribution is to offer analysts a rich repository (i.e., KBCR) containing domain knowledge that they could utilize to acquire domain knowledge that is crucial for carrying out RA. While repositories of reusable components have been employed for some time, no one has used such repositories to help analysts acquire domain knowledge in order improve the RA of the system.