Exploring regulatory processes during a computer-supported collaborative learning task using process mining

The purpose of this study was to explore sequences of social regulatory processes during a computer-supported collaborative learning task and their relationship to group performance. Analogous to self-regulation during individual learning, we conceptualized social regulation both as individual and as collaborative activities of analyzing, planning, monitoring and evaluating cognitive and motivational aspects during collaborative learning. We analyzed the data of 42 participants working together in dyads. They had 90 min to develop a common handout on a statistical topic while communicating only via chat and common editor. The log files of chat and editor were coded regarding activities of social regulation. Results show that participants in dyads with higher group performance (N = 20) did not differ from participants with lower group performance (N = 22) in the frequencies of regulatory activities. In an exploratory way, we used process mining to identify process patterns for high versus low group performance dyads. The resulting models show clear parallels between high and low achieving dyads in a double loop of working on the task, monitoring, and coordinating. Moreover, there are no major differences in the process of high versus low achieving dyads. Both results are discussed with regard to theoretical and empirical issues. Furthermore, the method of process mining is discussed.     

Why advice on task selection may hamper learning in on-demand education

In on-demand education, learners are required to plan their own learning trajectory by selecting suitable learning tasks. A positive effect on learning is expected when learners select tasks that help them fulfil their individual learning needs. However, the selection of suitable tasks is a difficult process for learners with little domain knowledge and suboptimal task-selection skills. A common solution for helping learners deal with on-demand education and develop domain-specific skills is to give them advice on task selection. In a randomized experiment, learners (N = 30) worked on learning tasks in the domain of system dynamics and received either advice or no advice on the selection of new learning tasks. Surprisingly, the no-advice group outperformed the advice group on a post-test measuring domain-specific skills. It is concluded that giving advice on task selection prevents learners from thinking about how the process of task selection works. The advice seems to supplant rather than support their considerations why they should perform the advised task, which results in negative effects on learning. Implications for future research on giving advice in on-demand education are discussed.     

Do students need teacher’s initiation in online collaborative learning?

As more and more people use computers to complete their work and solve problems in the workplace, computing education is emphasized for students of all levels and disciplines in Taiwan. However, the computing education in Taiwan can hardly be recognized as effective and satisfactory. Many inappropriate examples that lack context are used in teaching and textbooks that may result in employees with low competence and insufficient ability for collaborative working. Students who grow up in this learning context usually lack the ability to seek information and solve problems by themselves. In this regard, the author redesigned a course and adopted online collaborative learning with initiation to establish the essential knowledge for students’ collaboration in the initial stage of a course. This study conducted an experiment that included 169 undergraduates from three class sections – the first two from an academic university (Case 1, n = 68; Case 2, n = 68) and the last one from a university of science and technology (Case 3, n = 33) – taught by the same teacher under the same course name and the same course website. The results show that students who received online collaborative learning with initiation had higher grades than those without. The author further discusses the implications for teachers, schools, and scholars who plan to provide online courses for their students, particularly computing courses.     

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.     

Learning through online peer discourse: Structural equation modeling points to the role of discourse activities in individual understanding

Although learning through discourse activities seems well-documented, it is unclear which mechanisms and behavioral variables are involved. What exactly contributes to learning when two or more learners interact in online learning environments? To analyze interrelations between central discourse activities and individual learning outcomes at the level of constructs, we applied structural equation modeling to data collected from 160 dyads engaging in written online learning discourses within a series of homogeneous experiments. We analyzed three theory-based indicators of conceptual elaboration activities during online discourse: the number of questions asked to receive information and expand knowledge, the number of explanations formulated to express individual knowledge, and the amount of on-task discourse. Individual conceptual understanding was represented by objective learning parameters that varied in each particular experimental task. These measured general understanding of the topic addressed and particular understanding of conceptual terms, complemented by the gain in individual self-assessed knowledge. Results of structural equation modeling revealed a strong effect of dyadic conceptual elaboration on individual understanding at the construct level, demonstrating that dyadic elaboration fosters the development of an elaborated individual understanding of specialist concepts and general content knowledge. Moreover, conceptual elaboration was best measured by the number of explanations during discourse. Implications regarding which features of collaborative learning settings promote mutual conceptual elaboration are discussed.     

Tacit guidance for collaborative multimedia learning

Collaborative multimedia learning is a scenario placing various demands on the learners that go beyond understanding complex issues and coordinating a learning discourse. On the one hand, individuals have to mentally interrelate multiple external representations in order to understand the learning material and the underlying concepts; on the other hand, during collaboration, learners have to use the differently coded information in order to exchange conceptual knowledge. In this paper, the development and experimental evaluation of a group awareness tool (collaborative integration tool) is presented that is intended to simultaneously support both individual and collaborative learning processes during dyadic collaborative multimedia learning. The tool was experimentally compared with an integration task that already proved to foster meaningful individual learning processes. The results suggest that providing group awareness can lead to better individual learning gains by reducing demanding processes and by tacitly guiding learner interactions.     

Online group work patterns: How to promote a successful collaboration

Participation is a complex process, engaging the whole person, implying cognitive, emotional and relational aspects. In online open and distant learning, group work is a commonly used strategy, given its collaborative nature and constructivist framework (2, 4 and 7). In this context, collaborative learning processes are highly dependent on the shared written information and the interactions that are established among the participants. The types of interactions that occur within such groups can influence their knowledge convergence processes, and are often decisive for its success.     

Cognitive load and science text comprehension: Effects of drawing and mentally imagining text content

One hundred and eleven 10th graders read an expository science text on the dipole character of water molecules (ca. 1600 words). Reading instruction was varied according to a 2 × 2 experimental design with factors ‘drawing pictures of text content on paper’ (yes, no) and ‘mentally imagining text content while reading’ (yes, no). The results indicate that drawing pictures, mediated through increased cognitive load, decreased text comprehension and, thus, learning (d = −0.37), whereas mental imagery, although decreasing cognitive load, increased comprehension only when students did not have to draw pictures simultaneously (d = 0.72). No evidence was found that the effects were moderated by domain-specific prior knowledge, verbal ability, or spatial ability. The results are in line with cognitive theories of multimedia learning, self-regulated learning, and mental imagery as well as conceptions of science learning that focus on promoting mental model construction by actively visualizing the content to be learned. Constructing mental images seems to reduce cognitive load and to increase comprehension and learning outcome when the mental visualization processes are not disturbed by externally drawing pictures on paper, whereas drawing pictures seems to increase cognitive load resulting in reduced comprehension and learning outcome.     

Identifying a transition period at the midpoint of an online collaborative activity: a study among adult learners

This case study describes the group development in an online learning group. Adult learners enrolled in a MBA partially delivered at a distance were observed during fifteen weeks to better understand the group development of an online learning group. Both qualitative and quantitative methods were used to capture the dynamic of social interactions within the group and some affective reactions of members. The results revealed a transition period at the midpoint of the collaborative activity showing a decline of task-oriented communications, motivation and positive mood from this period. Results were discussed through models of group development validated in face-to-face environments. Some implications were proposed to facilitate online activities in computer-supported learning groups.     

E-tutorial support for collaborative online learning: An explorative study on experienced and inexperienced e-tutors

The e-tutor plays a major role in supporting virtual collaborative learning, as he/she supervises learners in collaboratively solving tasks, acquiring new skills, and applying new knowledge. This study is aimed at gaining further insights into the daily support practices of e-tutors. Seventy-six e-tutors from 17 different European countries were invited to fill in an online questionnaire to evaluate collaborative activities, and to answer yes/no-questions regarding their intervention to support these collaborative activities. A cluster analysis identified two profiles of e-tutors according to the importance ascribed to collaborative activities, and to the number of times they intervened to foster such activities. The cluster validation revealed a difference between experienced and inexperienced European e-tutors in their support of online collaboration: e-tutors with experience considered specific cognitive activities to be more important for effective online collaboration, and they seemed to be more familiar in detecting and adequately intervening to avoid dysfunctional social phenomena. Thus, experience in supporting online collaboration seems to be a useful precondition for successfully intervening to stimulate necessary learning activities and to avoid dysfunctional collaborative activities.     

CC–LR: providing interactive,challenging and attractive Collaborative Complex Learning Resources

Many researchers argue that students must be meaningfully engaged in the learning resources for effective learning to occur. However, current online learners still report a problematic lack of attractive and challenging learning resources that engage them in the learning process. This endemic problem is even more evident in online collaborative learning approaches whose resources lack of authentic interactivity, user empowerment, social identity and challenge, thus having a negative effect on learners' self‐motivation and engagement. To overcome these and other limitations and deficiencies, in this paper, a new type of learning resource named Collaborative Complex Learning Resources (CC–LR) is presented based on the virtualization of collaborative learning with the aim of leveraging knowledge elicited during live sessions. During the CC–LR execution, the collaborative sessions are animated so learners can observe how avatars discuss and collaborate, how discussion threads grow and how knowledge is been constructed, refined and consolidated. In addition, complex aspects of the learning process can be incorporated in the CC–LRs during their creation, such as cognitive assessment and emotional awareness. The system produced from this research is tested to evaluate the CC‐LR enriched with complex information and analyze its effects in the discussion process. The research reported in this paper was undertaken within the Seventh Framework Programme (FP7) European project called ‘Adaptive Learning via Intuitive/Interactive, Collaborative and Emotional systems’.