Measuring perceived sociability of computer-supported collaborative learning environments

Most asynchronous computer-supported collaborative learning (CSCL) environments can be characterized as functional environments because they focus on functional, task-specific support, often disregarding explicit support for the social (emotional) aspects of learning in groups which are acknowledged by many educational researchers to be essential for effective collaborative learning. In contrast, sociable CSCL environments emphasize the social (emotional) aspects of group learning. We define sociability as the extent to which a CSCL environment is perceived to be able to facilitate the emergence of a sound social space with attributes as trust and belonging, a strong sense of community, and good working relationships. Specific environmental characteristics, which we have designated social affordances, determine sociability.     

Differences in learning processes between successful and less successful students in computer-supported collaborative learning in the field of human nutrition and health

This study aimed to investigate the differences in learning processes between successful and less successful pairs of students in computer-supported collaborative learning (CSCL) in the field of human nutrition and health. As part of their regular MSc (and optional BSc) course “Exposure assessment in nutrition and health research” at Wageningen University, 44 students were asked (as an individual pretest) to design and analyze a study which evaluates a certain dietary assessment method. Subsequently, they were asked to discuss their evaluation studies in randomized pairs using a CSCL platform. As an individual posttest, students had to re-design and re-analyze the same evaluation study. The quality of students’ knowledge construction in both tests and characteristics of their learning processes in the CSCL environment were assessed through two coding schemes. Based on their learning outcomes (quality of knowledge construction), pairs of students were divided into two subgroups: successful and less successful students. Next, the learning processes of these subgroups were compared. This study revealed that the learning processes of successful and less successful students in the CSCL environment differed in terms of relevance, width and depth of discussion and justification and reasoning. Based on these findings, recommendations for further research and educational practice are formulated.     

Using a concept map knowledge management system to enhance the learning of biology

This study was undertaken with the goal of developing a Concept Map Knowledge Management System (CMKMS) for use as a tool in observing change in a student's understanding of biology concepts over time. The CMKMS should be useful in assessing the extent of a student's knowledge and in revealing their unique thought processes. The study was concerned not only with a student's self-evaluation of learning but also with their level of satisfaction after using the CMKMS. The CMKMS combines the diagnosis of concept mapping with the style of thought processing, and promotes teaching activities step-by-step, in order to promote effective student learning. In analyzing the factors that influence the effect of teaching, the teacher can determine a student's knowledge structure and highlight misconceptions by inspecting the concept maps and logs. The results of this study show that knowledge management involved in computer-aided instruction in the teaching of biology had a positive influence on learning effectiveness. The CMKMS also was useful in promoting the student's thought processing, creativity, and ability to judge.     

Design and evaluation of a learning environment to effectively provide network security skills

Information system security and network security are topics of increasing importance in the information society. They are also topics where the adequate education of professionals requires the use of specific laboratory environments where the practical aspects of the discipline may be addressed. However, most approaches currently used are excessively static and lack the flexibility that the education requirements of security professionals demand. In this paper we present NEMESIS, a scenario generation framework for education on system and network security, which is based on virtualization technologies and has been designed to be open, distributed, modular, scalable and flexible. Finally, an example scenario is described and some results validating the benefits of its use in undergraduate computer security courses are shown.     

A novel approach for enhancing student reading comprehension and assisting teacher assessment of literacy

For students of English as a Foreign Language (EFL), reading exercises are critical not only for developing strong reading comprehension, but also for developing listening, speaking, and writing skills. Prior research suggests that social, collaborative learning environments are best suited for improving language ability. However, opportunities for English learners to collaboratively practice reading comprehension are minimal, and due to resource constraints and a lack of accurate evaluation methods, English instructors rarely assess student literacy effectively. In response to these problems, we propose a Tag-based Collaborative reading learning System (TACO) that makes use of Web 2.0 Internet social tagging techniques to provide a collaborative environment for reading English. We test our system’s ability to both improve reading comprehension and aid teachers in accurately assessing literacy by conducting a three-month trial with 56 participating Taiwanese high school students from February to May 2009. During this period, post-testing results show a significant improvement in reading scores among participants in our tag-based system, and survey feedback from teachers suggests an improved capacity for literacy assessment.     

Free/libre open source software implementation in schools: Evidence from the field and implications for the future

This empirical paper shows how free/libre open source software (FLOSS) contributes to mutual and collaborative learning in an educational environment. Unlike proprietary software, FLOSS allows extensive customisation of software to support the needs of local users better. This also allows users to participate more proactively in the development and implementation process of a FLOSS-based system. In this paper, we observes how implementing FLOSS in an Italian high school challenges the conventional relationship between end users themselves (e.g. teachers and students) and that between users and developers. The findings will shed some light on the social aspects of FLOSS-based computerization – including the role of FLOSS in social and organizational change in educational environments and the ways that the social organization of FLOSS are influenced by social forces and social practices.     

A quantitative multimodal discourse analysis of teaching and learning in a web-conferencing environment – The efficacy of student-centred learning designs

This paper presents a quantitative approach to multimodal discourse analysis for analyzing online collaborative learning. The coding framework draws together the fields of systemic functional linguistics and Activity Theory to analyze interactions between collaborative-, content- and technology-related discourse. The approach is used to examine how the task subject matter, the activity design, and the choice of interface affected interaction and collaboration for a computing course conducted in a web-conferencing environment. The analysis revealed the critical impact of activity design on the amount and type of discourse that transpired. Student-centred designs resulted in over six times more student discourse as compared to teacher-centred designs and created a learning environment where students took greater ownership over the tasks and contributed more to the content-based discussion. The paper also incorporates a rationale for the approach to coding and a reflection on its efficacy for discourse analysis in technology-based learning environments.     

Computer support for learning mathematics: A learning environment based on recreational learning objects

In this paper, we introduce an electronic collaborative learning environment based on Interactive Instructors of Recreational Mathematics (IIRM), establishing an alternative approach for motivating students towards mathematics. The IIRM are educational software components, specializing in mathematical concepts, presented through recreational mathematics, conceived as interactive, recreation-oriented learning objects, integrated within the environment. We present the architecture of the learning environment which integrates communication services that support the interaction processes of the learning community, through instant messaging, chat rooms, and multi-player math games. Through the environment’s interface of their personal workspace, students have access to several easy-to-use mechanisms that allows them to customize its content, its layout, and its appearance. At internal levels, the functionality of IIRM is enhanced with features supported by the environment infrastructure. We evaluated different aspects of the learning environment in three short, motivation-oriented math courses given to Mexican high-school students. The results indicate that the use of the IIRM-based electronic learning environment, positively affects student attitudes towards mathematics. We believe that this approach has the potential to promote the mathematics learning process, basically on its motivational aspects.     

Group differences in computer supported collaborative learning: Evidence from patterns of Taiwanese students’ online communication

This study explored the differences among online elementary school student groups based on their communication features. Two hundred and ninety-one Taiwanese students, ranging in age from 11 to 12 years old, participated in this study. The students were randomly arranged within-class into three-member groups. Each group was asked to use a collaborative learning system to accomplish a group task generating a shared concept map. The textual discussions in each group during collaboration were collected, coded, categorized, and quantified to profile their communication characteristics. Cluster analysis on the resulting communication characteristics resulted in four types of small student groups, including passive or reticent, frequently off-task, actively participating, and knowledge emphasizing. Most student groups (56%) were found to be relatively passive or reticent. Frequently off-task student groups made a protrusive amount of messages for off-task social purposes. The actively participating student groups were characterized by abundant discussion, particularly for continuing task, managing procedure and coordinating efforts. The distinctive feature of knowledge emphasizing student groups was that they devoted particular attention to task related knowledge. In addition, they performed better in task accomplishment.     

Authority and convergence in collaborative learning

Teachers and students have established social roles, norms and conventions when they encounter Computer-Supported Collaborative Learning (CSCL) systems in the classroom. Authority, a major force in the classroom, gives certain people, objects, representations or ideas the power to affect thought and behavior and influences communication and interaction. Effective computer-supported collaborative learning requires students and teachers to change how they understand and assign authority. This paper describes two studies in which students' ideas about authority led them to converge on what they viewed as authoritative representations and styles of representation too early, and the early convergence then hindered their learning. It also describes a third study that illustrates how changes to the CSCL system CAROUSEL (Collaborative Algorithm Representations Of Undergraduates for Self-Enhanced Learning) improved this situation, encouraging students to create representations that were unique, had different styles and emphasized different aspects of algorithms. Based on this research, methods to help students avoid premature convergence during collaborative learning are suggested.     

Design and evaluation of a collaborative learning environment

Collaboration becomes an essential competency in the current knowledge society. In this study, a collaborative learning environment was designed to facilitate students in group collaboration. Instructional support strategies of friendship and meaningful learning tasks were applied to promote collaboration. Scaffolding strategies such as writing progress reports and developing product versions were used to coordinate and monitor the collaborative learning environment. In addition, the online file sharing tool DriveHQ was used to facilitate collaboration. Four classes of students used the learning environment to complete their final project in pairs. Results showed friendship and meaningful learning tasks helped to promote individual accountability and positive interdependence, and the use of progress reports and product versions was useful for coordinating and monitoring the learning process. However, additional strategies might be needed for more effective collaboration to take place. Issues involved in this study are discussed.     

Using Jigsaw and Case Study for supporting online collaborative learning

In CSCL contexts (Computer Supported Collaborative Learning) collaborative activities with different levels of structuredeness are often used to foster discussion and exchange among students and enhance collaboration. In this field the debate around whether and to what extent it is useful to structure the activities proposed to students, is still very lively. In this paper two collaborative activities are explored, namely a simple Case Study (moderate level of structuredness) and the Case Study joint with the Jigsaw (higher level of structuredness). Starting from the analysis of the interactions occurred among students of two real online courses performing these activities, it is possible to identify strong points and weaknesses of the two activities, so to draw some reflections on the impact of structuredness on the collaborative learning process.     

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.     

Cross-age peer tutors in asynchronous discussion groups: Exploring the impact of three types of tutor training on patterns in tutor support and on tutor characteristics

This study was conducted in an authentic university setting with fourth-year Educational Sciences’ students operating as online peer tutors to facilitate freshman tutees’ online collaboration and knowledge construction in a blended “Instructional Sciences” course. Taking into account prior research uncovering weaknesses in online peer tutor behaviour, the aim of the study was to explore the possibility to optimise the quality and the nature of online peer support. In this respect, the study examined the impact of three tutor training conditions (multidimensional support, model/coach, and control condition) on peer tutors’ actual tutor behaviour in asynchronous discussion groups and on tutors’ self-efficacy beliefs, perceived collective efficacy, and training evaluation. Quantitative content analysis was applied to study online peer tutor behaviour. More specifically, two coding schemes were used focusing respectively on the occurrence of different e-moderating activities and on the evolution from modeling to coaching behaviour. Tutors’ self-efficacy beliefs, perceived collective efficacy, and training evaluation were assessed by means of questionnaires.     

CALEE: A computer-assisted learning system for embedded OS laboratory exercises

With the popularity of embedded systems and the consequently rising demand in the job market for professionals well-versed in them, embedded operating systems (EOSs) have become one of the core courses in computer science studies across the world. The objective of EOS courses is to develop students' ability to port, modify, and customize an embedded operating system through a series of laboratory exercises. However, our teaching experience has revealed that beginners require a considerable amount of time to familiarize themselves with the development environment and the relevant processes, such as operating in a command line interface, setting environment variables, and kernel configurations. Furthermore, students need to constantly handle compiler error messages, malfunctions of the target EOS, and incompatibility issues related to development tools. These problems may frustrate and discourage students. A common strategy to address this problem is to dedicate more hours to teaching or to hire more teaching assistants to help students progress. However, none of these methods is suitable for institutions with limited resources. Therefore, in this paper, we develop a computer-assisted learning system called the Computer-assisted Learning Environment (CALEE) to assist students with their assignments and thus motivate them. CALEE consists of two parts: a self-learning assistant (SLAT) and a collaborative learning website (CLW). SLAT is a software application that provides a set of useful functions to help students perform EOS laboratory exercises, whereas the collaborative learning website seeks to encourage greater interaction among students. Our experiments show that CALEE expedites learning, improves students' motivation, and reduces the teaching load.     

Effects of matching teaching strategy to thinking style on learner’s quality of reflection in an online learning environment

Reflection plays an important role in improving learning performance. This study, therefore, attempted to explore whether learners’ reflection levels can be improved if teaching strategies are adapted to fit with learners’ thinking styles in an online learning environment. Three teaching strategies, namely constructive, guiding, and inductive, were designed to match with three thinking styles, namely legislative, executive, and judicial respectively. An online reflection learning system was subsequently developed to reflect this scenario. An experiment was then conducted where the learners were classified into fit or non-fit group in order to analyze whether there was a good fit between the teaching strategies designed by the teacher and the thinking styles of learners. A total of 223 graduate and undergraduate students participated in the experiment. The results revealed that the reflection levels of the fit group had outperformed the non-fit group.     

Learning in asynchronous discussion groups: a multilevel approach to study the influence of student, group and task characteristics

The research reported in the current article studies the impact of learning in asynchronous discussion groups on students' final exam scores and levels of knowledge construction. Multilevel analyses were applied to uncover the specific influence of student, group and task variables. The results indicate that the impact of student characteristics on both dependent variables is of higher significance than characteristics of the discussion group students are allocated to. With regard to levels of knowledge construction, task characteristics also appear to be of importance.

 With regard to final exam scores the analyses reveal a significant impact from student learning style, attitude towards task-based learning, the number of student contributions and the level of knowledge construction in these contributions. No significant group characteristics were observed.

 As to levels of knowledge construction, the analyses revealed that the amount of contributions and the attitude towards the online learning environment are significant predictors. The intensity of the interaction in a group had a significant impact. As to task characteristics, significant differences were found between consecutive themes. These disappeared when taking into account task complexity.