What is important in electronic textbooks for students of different achievement levels?

This paper reports the findings of a study that explored which characteristics of electronic textbooks correlated with knowledge acquisition by learners of different achievement levels. The study was carried out on 35 units of electronic textbooks that were studied by 19 high-achieving and 19 low-achieving students in four Estonian schools. The low-achieving students profited from clear instructions, familiar icons, examples, and answering from the keyboard. The high-achieving students benefited from key-combinations, menus with different levels, the Internet, analogies and lower density of terms in the content of the material. In electronic textbooks, not only the content, but also the design of the software, should be different for learners with a different achievement level.     

Students assessing their own collaborative knowledge building

We describe the design of a knowledge-building environment and examine the role of knowledge-building portfolios in characterizing and scaffolding collaborative inquiry. Our goal is to examine collaborative knowledge building in the context of exploring the alignment of learning, collaboration, and assessment in computer forums. The key design principle involved turning over epistemic agency to students; guided by several knowledge-building principles, they were asked to identify clusters of computer notes that indicated knowledge-building episodes in the computer discourse. Three classes of 9th grade students in Hong Kong used Knowledge Forum in several conditions: Knowledge Forum only, Knowledge Forum with portfolios, and Knowledge Forum with portfolios and principles. Results showed: (1) Students working on portfolios guided knowledge-building principles showed deeper inquiry and more conceptual understanding than their counterpart (2) Students' knowledge-building discourse, reflected in portfolio scores, contributed to their domain understanding; and (3) Knowledge-building portfolios helped to assess and foster collective knowledge advances: A portfolio with multiple contributions from students is a group accomplishment that captures the distributed and progressive nature of knowledge building. Students extended their collective understanding by analyzing the discourse, and the portfolio scaffolded the complex interactions between individual and collective knowledge advancements. An erratum to this article is available at .     

Students assessing their own collaborative knowledge building

We describe the design of a knowledge-building environment and examine the role of knowledge-building portfolios in characterizing and scaffolding collaborative inquiry. Our goal is to examine collaborative knowledge building in the context of exploring the alignment of learning, collaboration, and assessment in computer forums. The key design principle involved turning over epistemic agency to students; guided by several knowledge-building principles, they were asked to identify clusters of computer notes that indicated knowledge-building episodes in the computer discourse. Three classes of 9th grade students in Hong Kong used Knowledge Forum in several conditions: Knowledge Forum only, Knowledge Forum with portfolios, and Knowledge Forum with portfolios and principles. Results showed: (1) Students working on portfolios guided by knowledge-building principles showed deeper inquiry and more conceptual understanding than their counterparts; (2) Students' knowledge-building discourse, reflected in portfolio scores, contributed to their domain understanding; and (3) Knowledge-building portfolios helped to assess and foster collective knowledge advances: A portfolio with multiple contributions from students is a group accomplishment that captures the distributed and progressive nature of knowledge building. Students extended their collective understanding by analyzing the discourse, and the portfolio scaffolded the complex interactions between individual and collective knowledge advancements. Computer-Supported Collaborative Learning (2006) 1(1):57-87 DOI 10.1007/s11412-006-6844-4 This paper was published without its complete corrections. This is a publisher and typesetter error. The online version of the original article can be found at:     

Students' views of collaboration and online participation in Knowledge Forum

This study examined students’ views of collaboration and learning, and investigated how these predict students’ online participation in a computer-supported learning environment. The participants were 521 secondary school students in Hong Kong, who took part in online collaborative inquiry conducted using Knowledge Forum™. We developed a questionnaire to assess the students’ views of their collaboration aligned with the knowledge-building perspective. We also administered the Learning Process Questionnaire to examine their preferred approaches to learning. The students’ online participation in Knowledge Forum was examined using the Analytic Toolkit software. Analyses indicated that students who viewed their collaboration as more aligned with collaborative knowledge building were more likely to employ a deep approach to learning. A structural equation model indicated that the students’ views of collaboration exerted a direct effect on online participation in Knowledge Forum and mediated the effects of deep approaches on forum participation. Implications of examining students’ views of collaboration for productive online participation are discussed.     

Productive use of learning resources in an online problem-based learning environment

This study examined students’ use of learning resources in a technologically-mediated online learning environment. Undergraduate student groups were engaged in an online problem-based learning (PBL) environment, rich with pre-selected video and knowledge resources. Quantitative and qualitative analyses showed that students accessed resources fairly frequently and benefited from them. Resources helped students construct a rich understanding of the problem and provided ideas for problem solutions. Detailed analyses of resource exploration along with contrasting case analyses between high-achieving and low-achieving student groups suggested that for learning to be effective in resource-rich environments, students first need to develop an understanding of the resources and learn how to access them efficiently. Second, students need to learn to process the contents of resources in meaningful ways so that they can integrate diverse resources to form a coherent understanding and apply them to solve problems. Finally, students need to develop knowledge and skills to use resources collaboratively, such as sharing and relating to each other’s resources. The results indicated that students, especially low-achieving students, need guidance to use resources effectively in resource-rich learning environments.     

The effectiveness of the meaningful learning-based evaluation for different achieving students in a ubiquitous learning context

In recent years, fueled by the rise of mobile technology, ubiquitous learning has shown great potential in various disciplines, especially in context-aware environments. However, improper applications of this learning approach may also lead to inefficient learning and even reduced learning effectiveness. It is thus necessary to assess whether a ubiquitous learning project is able to achieve the aim of meaningful learning, so as to empower learners in scaffolding their knowledge students with different levels of achievement, especially low-achieving ones. This study aims to investigate the impact of a meaningful learning-based evaluation method on ubiquitous learning, in order to enhance the target system. A quasi-experiment is designed for this purpose, in which the post-evaluation and refined ubiquitous learning activities are adopted for the experimental group, in contrast to the control group, which works without the proposed evaluation method. The findings show that the evaluating ubiquitous learning using the meaningful learning paradigm can significantly enhance learning effectiveness, especially for low-achieving students, although the gains were not so significant for the high-achieving students, as seen in the posttest. Moreover, no significant differences in learning effectiveness were found between the experimental and control groups. The results of the posttest showed that the low-achieving students in the experimental group significantly outperformed those in the control group. This study suggests that the functions of a learning system may be need to be further enhanced to better suit the needs of low-achieving students, and that the use of a meaningful learning-based evaluation method is an effective way to find out what needs to be improved.     

Tracing knowledge co-evolution in a realistic course setting: A wiki-based field experiment

The co-evolution model of collaborative knowledge building by Cress and Kimmerle (2008) assumes that cognitive and social processes interact when users build knowledge with shared digital artifacts. While these assumptions have been tested in various lab experiments, a test under natural field conditions in educational settings has not been conducted. Here, we present a field experiment where we triggered knowledge co-evolution in an accommodation and an assimilation condition, and measured effects on student knowledge building outside the laboratory in the context of two university courses. Therefore, 48 students received different kinds of prompts that triggered external accommodation and assimilation while writing a wiki text. Knowledge building was measured with a content analysis of the students' texts and comments (externalization), and with concept maps and association tests (internalization). The findings reveal that (a) different modes of externalization (accommodation and assimilation) could be triggered with prompts, (b) across both conditions, this externalization co-occurred with internalization (student learning), and (c) there is some evidence that external assimilation and accommodation had differential effects on internal assimilation and accommodation. Thus, the field experiment supports the assumptions of the co-evolution model in a realistic course setting. On a more general note, the study provides an example of how wikis can be used successfully for collaborative knowledge building within educational contexts.     

Understanding online knowledge sharing: An interpersonal relationship perspective

The unique features and capabilities of online learning are built on the ability to connect to a wider range of learning resources and peer learners that benefit individual learners, such as through discussion forums, collaborative learning, and community building. The success of online learning thus depends on the participation, engagement, and social interaction of peer learners, which leads to knowledge sharing. Thus, without frequent and persistent interaction, it is doubtful whether knowledge sharing can take place in online learning. This study argues that theories about the development and maintenance of social relationships provide a theoretical foundation for understanding the motivation to engage in online knowledge sharing behavior. An Online Knowledge Sharing Model (OKSM) is proposed and empirically tested among undergraduate students using an online learning environment. The model introduces two new constructs – Perceived Online Attachment Motivation (POAM) and Perceived Online Relationship Commitment (PORC), which together explained 71 percent of the variance observed in self-reported online knowledge sharing behavior. The findings provide some explanations for the motivation to share knowledge, and have several implications for the design of the features and capabilities of online learning environments.     

Toward a classification of discourse patterns in asynchronous online discussions

The goal of this study was to develop a classification for a range of discourse patterns that occur in text-based asynchronous discussion forums, and that can aid in the distinction of three modes of discourse: knowledge sharing, knowledge construction, and knowledge building. The dataset was taken from Knowledge Forum® databases in the Knowledge Building Teacher Network in Hong Kong, and included three discussion views created for different classes: Grade 5 Science, Grade 10 Visual Arts, and Grade 10 Liberal Studies. We used a combination of qualitative coding and narrative analysis as well as teachers’ understanding of online discourse to analyze student discussions. Nine discourse patterns were identified. These patterns revealed a variety of ways in which students go about their collaborative interactions online and demonstrated how and why students succeed or fail in sustaining collaborative interactions. This study extended the three modes of online discourse and developed different discourse patterns, which are efforts to provide instructional guidance. The implications of supporting productive discourse and the enactment of CSCL innovations in classrooms are discussed.     

Influence of participation, facilitator styles, and metacognitive reflection on knowledge building in online university courses

Understanding how to foster knowledge building in online and blended learning environments is a key for computer-supported collaborative learning research. Knowledge building is a deeply constructivist pedagogy and kind of inquiry learning focused on theory building. A strong indicator of engagement in knowledge building activity is the socio-cognitive dynamic of epistemic agency, in which students exercise a higher level of agency for setting forth their ideas and negotiating fit with those of others rather than relying on their teacher. The purpose of this paper is to investigate the influence of (a) levels of participation, (b) facilitator styles and (c) metacognitive reflection on knowledge building in two blended, post-secondary education contexts. A study of a total of 67 undergraduate students suggest that high levels of participation, a supportive facilitator style, and ample opportunities for metacognitive reflection on the students’ own participation strategies are most conducive for fostering epistemic agency for knowledge building. Implications of these results for research and instructional design of online courses are discussed.     

Knowledge construction and misconstruction: A case study approach in asynchronous discussion using Knowledge Construction – Message Map (KCMM) and Knowledge Construction – Message Graph (KCMG)

This paper introduces a methodology for analyzing the knowledge construction and misconstruction processes occurring in online asynchronous discussion for Secondary 2 (Grade 8) students. The use of purposive sampling targeting specific students in a single course forum could potentially advance understanding of these processes using Knowledge Construction – Message Map (KCMM) and Knowledge Construction – Message Graph (KCMG). This paper traced the communication patterns and knowledge construction as well as misconstruction processes of students working in groups to formulate scientific ideas. This methodology reveals the dynamics of asynchronous discussion through mapping and quantifying the electronic learning process. This will equip educational practitioners and researchers with a useful tool for describing online interaction through adoption of a measurement methodology more systematic and effective than anecdotally. The research findings suggest that self-directed learning through asynchronous discussion has to be monitored by facilitators as learners possessed misconceptions that could potentially mislead other participants.     

Fostering collective and individual learning through knowledge building

The purpose of this study was to design and examine a computer-supported knowledge-building environment and to investigate both collective knowledge-building dynamics and individual learning in the context of a tertiary education course in mainland China. The participants were 102 students in four intact Year-one tertiary business classes. Two classes experienced a knowledge-building environment (CKB) and the other two were taught using a regular project-based approach (RPBL). Data were obtained from interactions in the forum, writing quality, group-learning portfolios, and surveys. Quantitative analyses indicated that the knowledge-building groups outperformed the comparison groups on academic literacy assessed in terms of conceptual understanding and explanation, and obtained higher scores on beliefs about collaboration. Within-group analyses indicated that the students’ engagement in Knowledge Forum was a significant predictor of their academic literacy. Qualitative contrastive analyses of high- and low-performance groups identified different patterns of conceptual, metacognitive and social processes, and showed that student groups engaging in more collective and meta-discourse discourse moves performed better on individual scores in academic literacy. The implications of examining both collaborative dynamics and individual learning and designing computer-supported knowledge building for tertiary students are discussed.     

Promoting academically productive talk with conversational agent interventions in collaborative learning settings

Research on computer-supported collaborative learning (CSCL) and conversational pedagogical agents has strongly emphasized the value of providing dynamic dialogue support for learners working together to accomplish a certain task. Recently, on the basis of the classroom discourse framework of Academically Productive Talk (APT), a flexible form of conversational agent support has emerged employing APT-based intervention methods so as to stimulate pedagogically beneficial conversational interactions among learning partners. This paper investigates the impact of an APT-based Linking Contributions (LC) intervention mode implemented by a conversational agent in the context of a collaborative activity in higher education. This type of agent interventions encourages students to explicitly externalize their reasoning on important domain concepts building upon the contributions of their partners. Forty-three (43) students collaborated in small groups using a prototype CSCL system to accomplish three different tasks in the domain of Multimedia Learning. Groups were randomly assigned to the treatment or the control condition. In the treatment condition, a conversational agent participated in students' dialogues making LC mode interventions. In the control condition, students discussed without the agent intervening. The results of the study illustrated that the students in the treatment condition engaged in a more productive dialogue demonstrating increased explicit reasoning throughout the collaborative activity. Furthermore, it was shown that the students in the treatment condition outperformed the control students in various measures on knowledge acquisition. Evidence also suggests that students' enhanced learning performance was mediated by the positive effect of the agent intervention mode on students' argumentation. Overall, this study provides insights into how the use of a configurable conversational agent displaying unsolicited LC interventions during students' discourse can be beneficial to collaborative learning.     

Analyzing collaborative interactions: divergence,shared understanding and construction of knowledge

One of the most important facets of collaborative learning is the interaction between individual and collaborative learning activities – between divergent perspectives and shared knowledge building. Individuals bring divergent ideas into a collaborative environment. While individuals bring their own unique knowledge and perspectives, the second important aspect of collaborative learning is how they move from seemingly divergent perspectives to collaborative knowledge building. This is clearly a social process among group members who could adopt various strategies for resolving differences including asserting dominance, acquiescing, or some form of reciprocal sense making. An important aspect of collaborative learning is the move from assimilation to construction, i.e., creating new understandings based on the discussions that they have had. Documenting this change from divergence to collaborative knowledge building to possible construction is therefore important in understanding the nature the collaborative interactions. In this paper we discuss our analysis of the process of collaborative interactions based on three dimensions – divergence of ideas, collaborative knowledge building and construction. Our aim was to document as well as to understand how collaborative interactions develop over time: whether students raise new issues (ideas) more frequently as they become more familiar with the discussion and discussants, and whether shared knowledge building becomes richer over time, and subsequent evidence that students were able to construct their own understanding based on their interactions with others. Our analyses were conducted in the context of an online graduate course conducted using the learning environment that we designed, CoDE, (Constructivist, Distributed learning Environment). In this paper, we will first describe the design of CoDE. We will then describe a study in which CoDE was used to offer an online graduate course in learning theories. We then discuss our analyses of both individual and collaborative learning as it progressed through the duration of the course.     

Enhancement of digital reading performance by using a novel web-based collaborative reading annotation system with two quality annotation filtering mechanisms

Collaboratively annotating digital texts allows learners to add valued information, share ideas, and create knowledge. However, excessive annotations and poor-quality annotations in a digital text may cause information overload and divert attention from the main content. The increased cognitive load ultimately reduces the effectiveness of collaborative annotations in promoting reading comprehension. Thus, this work develops a web-based collaborative reading annotation system (WCRAS-TQAFM) with two quality annotation filtering mechanisms—high-grade and master annotation filters—to promote the reading performance of learners. Ninety-seven students from three classes of a senior high school in Taiwan were invited to participate in an 80-min reading activity in which individual readers use WCRAS with or without annotation filters. Analytical results indicate that digital reading performance is significantly better in readers who use the high-grade annotation filter compared to those who read all annotations. Moreover, the high-grade annotation filter can enhance the reading comprehension of learners in all considered question types (i.e., recall, main idea, inference, and application). Also, the Cohen’s kappa statistics was used for assessing whether the annotation selected by the high-grade annotation filter is in agreement with the annotations selected by a domain expert. The statistic results indicate that the proposed high-grade annotation filter is valid to some degree. Finally, neither of the proposed quality annotation filtering approaches significantly reduces cognitive load.     

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.     

Analyzing collaborative knowledge construction: multiple methods for integrated understanding

Documenting collaborative knowledge construction is critical for research in computer-supported collaborative learning. Because this is a multifaceted phenomenon, mixed methods are necessary to construct a good understanding of collaborative interactions, otherwise there is a risk of being overly reductionistic. In this paper I use quantitative methods of verbal data analysis, qualitative analysis, and techniques of data representation to characterize two successful knowledge building interactions from a sociocultural perspective. In the first study, a computer simulation helped mediate the interaction and in the second, a student-constructed representation was an important mediator. A fine-grained turn-by-turn analysis of the group discussions was supplemented with qualitative analysis of larger units of dialogue. In addition, chronological representations of discourse features and tool-related activity were used in study 2 to gain an integrated understanding of how a student-generated representation mediated collaborative knowledge construction. It is only by mixing methods that collaborative knowledge construction can be well characterized.     

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.     

Enacting artifact-based activities for social technologies in language learning using a design-based research approach

This paper presents the results of a three-year design-based research (DBR) study on the use of social technologies for collaborative construction of shareable artifacts by groups of learners. The study builds on the learning theory of constructionism which assumes that knowledge is better gained when students find this knowledge for themselves while engaging in the making of concrete and public artifacts. In an attempt to infuse elements of constructionism in the use of social technologies, we tasked groups of learners in language learning courses with collaborative construction of an artifact using social technologies. A unique characteristic of our approach is that the process that students adopted and the way technology and context fostered this procedure was analyzed. The cycle of DBR fueled deep insights into the learning processes that emerged through the construction of an artifact, thus deepening our understanding of the multimode and multi-trajectory relationship between theory, artifact construction and social technologies. For sustaining and orchestrating social construction of artifacts by groups of learners, a set of instructional elements emerged, as well as implications for enacting social technology innovations in real-life classrooms.