The Design of a Computer-Supported Collaborative Learning Environment that Promotes Interaction

Drawing on knowledge building and social cognitive perspectives on academic literacy, this chapter argues for a design framework of Computer-Supported Collaborative Learning (CSCL) environment featured by Knowledge Forum for Chinese tertiary business English students. An initial design study was reported to evaluate the design effect of CSCL environment on collaboration and academic literacy and to further investigate factors facilitating academic literacy development. Four intact classes with 102 Year One students participated in a 12-week project learning in two different learning environments, namely Computer-Supported Collaborative Inquiry Learning (CSCIL) and Regular Project-Based Learning environment (RPBL). Data was obtained from exam results, survey, essay writing quality, and focus group interviews. Four dimensions of academic literacy were identified and rated. MANOVA analyses showed significant main effects of environment indicating that CSCIL groups have significant higher gains in conceptual understanding and argumentative construction. Contrastive analyses of focus group interview data identify the interplay of social, cognitive, and technological dynamics that facilitate collaborative conceptual understanding and argumentative construction. Implications and further design issues are also discussed.

A focus on purely individual cognition has set a stage to social construction of knowledge. New learning environments, in many cases supported by computer technology, are often based on collaborating and sharing expertise. As a result research on Computer Supported Collaborative learning (CSCL) environments is a significant and growing field, which actively seeks new methods to resolve the challenges of human learning across diverse levels of interaction in a modern information society. In this chapter we will discuss the concept of collaborative learning and the issues involved in using information and communication technology to support collaborative learning. We begin with the definition of collaboration, which lays the foundation for diverse research perspectives and methodologies on collaborative learning. The chapter also reviews the potential of CSCL environments, and addresses the challenges CSCL environments face.

The study in this article examines and illustrates the intertextual meanings made by a group of high school science students as they embarked on a knowledge building discourse to solve a physics problem. This study is situated in a computer-supported collaborative learning (CSCL) environment designed to support student learning through a science inquiry unit enacted in a classroom. As the CSCL environment is intensively mediated by written texts and spoken dialogue, the environment presents a unique opportunity to investigate the relationship between intertextuality and collaborative knowledge-building. Drawing from a dialogic and semiotic perspective of intertextuality, a framework based on systemic functional linguistics was used to analyse the intertextual and multimodal relations between the written and spoken forms of language used to solve the physics problem. Results indicate that in a CSCL environment, the thematic integration of the written and spoken forms of language is critical in the progress of the collaborative inquiry. In particular, written texts provide the contextual meanings to facilitate the students’ collaborative discourse, while spoken language creates new meanings by building bridges across the written texts. The implications of these analyses and findings for classroom discourse as well as potential for future research are discussed.

We have implemented an instructional design for teaching mechanics that combines a Computer Supported Collaborative Learning (CSCL) environment with traditional instruction. We detected superior performance compared with traditional teaching alone and found evidence in favor of the position that certain kinds of epistemological beliefs held by students can inhibit the full realization of CSCL environments' potential. Our research points to the need of addressing instructionally students' epistemological beliefs in order to increase the efficiency of many modern learning environments.

This study explores students' verbal interaction dynamics in two computer-supported collaborative learning (CSCL) environments: immediate collaboration and individual preparation (IP) followed by group collaboration. Although verbal interactions are not always central to all CSCL designs, they are critical in contexts that emphasize face-to-face or synchronous communication, where they facilitate negotiation, idea sharing, and collaborative knowledge construction. By applying content analysis and lag sequential analysis (LSA), this study examined the verbal interaction behavioral sequences of students in both conditions to understand how IP influences collaborative dynamics. The findings highlight the crucial role of IP in enhancing collaborative dynamics, suggesting that well-structured preparatory activities can significantly improve group interaction efficiency. This research contributes valuable insights for refining CSCL instructional strategies, emphasizing the need to balance structured preparation with opportunities for spontaneous interaction to optimize collaborative learning outcomes. By managing distractions and maintaining task focus, educators can create more effective collaborative learning environments.

Computer Supported Collaborative Learning (CSCL) is a pedagogical approach wherein learning takes place via social interaction using a computer or through the Internet. This kind of learning is characterized by the sharing and construction of knowledge among participants. This knowledge is shared through communication technologies embedded in CSCL systems. However in the context of globalization and the expansion of the internet and Information Technology (IT), communication becomes intercultural, so a complex and important dimension is added to CSCL and brings a new type of knowledge, socio-cultural knowledge, that needs to be shared and then presents new challenges. Therefore, in intercultural collaborative learning settings, we need to get and ensure better interaction, to get better learning. Better interaction is reached by promoting motivation to learn in groups, and this is obtained by enhancing user satisfaction which is achieved by the development of tailored CSCL tools to each user according to her socio-cultural background. Adapting the CSCL system to the culture of each participant will allow and facilitate group decision-making in the collaborative learning activity, as we take into account socio-cultural specificities of each learner, this latter will be more comfortable with the system and the other learners, and can collaborate with them to make decisions about the collaborative solution. So this article addresses the challenges started up by this context, which is how to consider socio-cultural specificities of each learner.

We present a collaborative learning environment called iCycle (Intelligent Computer-supported hybrid Collaborative Learning Environment) along with enabling Artificial Intelligence (AI) applications. The research is derived from a collaboration of four universities offering six cyber-learning courses in Computational Data-enabled Science and Engineering (CDSE) emphasising collaborative Project-Based Learning (PBL) and data-driven learning assessment to promote deep-learning. Relevant data sets for evidence-based learning assessment and iterative course improvement may grow in size to terabytes of information in the near future. We developed AI applications for collecting teamwork data, automating data analysis, and for formative learning assessment.

Contents and subject index

The rise of a new class of collaboration tools should encourage us to examine parts of the collaborative process that may have been less valuable to examine in the past. Specifically, this research examines a computer-supported collaborative learning (CSCL) environment that makes possible new modalities for student-instructor collaboration. In particular, this environment makes possible time-shifted collaboration that allows students to collaborate interactively with instructors in real time with no noticeable delay, without requiring both individuals to be actively engaged at the same time. This learning environment makes it possible to examine both new ways in which students and instructors collaborate and to provide new evidence that addresses one of the fundamental problems faced by students - procrastination. Data routinely collected as part of this (CSCL) environment make it possible to empirically examine student behaviors and performance. This method of collaboration brings up an interesting dimension in education: A deadline can be assigned and the student can continue to collaborate with the instructor in a time-shifted manner right until the deadline. It becomes a natural question to ask how students alter their behavior as the time to deadline approaches. This paper empirically examines student behavior as time to deadline approaches and interprets that behavior using a rational framework based on Temporal Motivation Theory. Both qualitative and quantitative data are presented to highlight changes in student behavior and performance as time to deadline approaches.KeywordsFinal ScoreRational FrameworkStudent BehaviorStudent InteractionAcademic IntegrityThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

ABSTRACTRecently, some studies proposed methods to promote socially shared regulation of learning (SSRL) level within a team because high SSRL levels enable an effective collaboration. Meanwhile, several studies also proposed methods in online collaboration to enhance individual self-regulated learning (SRL). Notably, most existing studies focused on proposing methods and tools either for enhancing SSRL level within a team or for enhancing individual SRL. A computer-supported collaborative learning (CSCL) environment with proper supports is promising for simultaneously enhancing the SSRL level within a team and individual SRL because SSRL and SRL have an inseparable relation and mutually influence during collaborative process. Based on the existing principles and theories, this work adopts the supports of group awareness and peer evaluation in CSCL with project-based learning. Group awareness (GA) can reveal collaborative behaviour of group members and regulate their participation while peer assessment (PE), which can appraise member’s contribution, can encourage individual responsibility and refine regulatory strategies. This study finds that the proposed group awareness and peer assessment (GAPE) (i.e. the experimental class) moderately reduces the free-rider effect and enhanced SSRL level and individual SRL, compared with NO-GAPE (i.e. the control group). Furthermore, this study also confirms that the perceived SSRL level can effectively predict individual SRL.

A significant number of CSCL (computer-supported collaborative learning) environments support the learning of groups of students enabling their collaboration in solving problems. In this paper, we propose a methodological approach for the design of observation systems in CSCL environments that collect and store all the information required for comprehensive analysis of both the collaboration process and its resulting product (i.e., the solution to a problem).

Group regulation and social-emotional interactions observed in computer supported collaborative learning: Comparison between good vs. poor collaborators

Impact of pedagogic agent-mediated metacognitive support towards increasing task and group awareness in CSCL

This article explores how to enrich scaffolding processes among university students using specific Computer Supported Collaborative Learning (CSCL) software. A longitudinal case study was designed, in which 18 students participated in a 12‐month learning project. During this period the students followed an instructional process, using the CSCL software to support and improve their interaction processes, in particular the processes of giving and receiving assistance. The research analysed the evolution of the quality of the students' interaction processes and their learning results. The effects of the students' participation in the CSCL environment are described in terms of their development of affective, cognitive and metacognitive learning processes. The results showed that the specific activities that students performed while working with the CSCL system triggered specific learning processes, which had a positive incidence on their learning results.

Designing computer support for collaborative visual learning in the domain of computer programming