The effect of computer-mediated collaborative learning on solving III-defined problems

The positive effects of collaborative learning in a face-to-face environment are well known. However, little empirical research exists to determine if such effects transfer to a computer-mediated environment. The purpose of this study was to investigate the effect of computer-mediated collaboration on solving ill-defined problems. Participants first worked through a Web-based instructional program that taught them a four-step problem-solving process. Then they worked in computer-mediated dyads or alone to apply the steps to solve a realistic problem scenario. Results indicated that participants who worked in computer-mediated collaborative dyads performed significantly better than did participants who worked alone. The results also indicated that dyads spent significantly more time than participants in the individual treatment. Both treatment groups had positive attitudes toward working collaboratively, Internet-based instruction, and transfer of problem-solving skills. Implications for the implementation of computer-mediated collaboration in distance learning are discussed. During article preparation, he was a PhD student at Arizona State University (ASU), Tempe. The views expressed in this article are those of the authors and do not reflect the official policy or position of the United States Air Force, Department of Defense, or the United States government.     

Review of computer mediated communication research for education

This research review examines recent developments in computer-mediated communication (CMC) research for educational applications. The review draws on 170 recent research articles selected from 78 journals representing a wide range of disciplines. The review focuses on peer-reviewed empirical studies, but is open to a variety of methodologies. The review is divided into two sections addressing major areas of current research: (a) general CMC research in education, and (b) factors affecting computer-mediated learning. The review covers a variety of key research areas revolving around CMC in education, including, media effect and comparison, on-line courses and networks, course and program evaluations, learning and learning processes, problem solving, writing, decision-making, argumentation, group decision-making, group dynamics, peer evaluations, gender differences, anonymity, teaching practice effects, technology integration, teacher styles and characteristics, socio-cultural factors, and professional development effects. Findings suggest partial advantages of CMC in writing, task focused discussion, collaborative decision-making, group work, and active involvement in knowledge construction during group interactions. Other research findings revealed influences of peer interaction, group composition, group cohesion, goal commitment, group norm development, and process training, mixed-sex groups, and virtual cross-functional teams. Mixed-findings are revealed for performance advantages of computer-mediated versus face-to-face learning environments on various tasks and for the presence of gender differences in computer-mediated environments.     

Connecting discourses: intertextuality in a primary school CSCL practice

This article investigates the multimodal discourses taking place in a primary school computer supported collaborative literacy environment, in which face-to-face talk in pairs is combined with computer-mediated communication. Following a socially mediated model of education, we have taken into account the collaborative process of the participants over time, the privileging processes, in relation to the discourse, afforded by the tasks and tools, and the classroom culture. We describe the contextualized nature of the interaction of children in a CSCL learning environment, by focusing on the intertextual connections that were made between different discourses. This paper highlights, in particular, the intertextual connections between written texts, face-to-face discourse and classroom culture.     

协作问题解决讨论活动中行为模式自动化挖掘方法研究

为探究在线协作学习中基于问题解决讨论活动的群组交互行为模式,文章提出协作问题解决的协作讨论活动行为编码表,将协作问题解决中的重要行为特征进行分类编码。基于关联规则挖掘算法,自动化地挖掘协作问题解决中具有高转换率的行为序列。通过开展实证研究,探究影响协作质量的重要行为模式。研究结果表明,在协作过程中学生们修订观点、争论、采用证据以及良好的管理等行为对群组协作都具有积极意义。该研究为教育工作者构建基于问题解决的在线协作讨论活动提供了有利依据和重要参考。     

Mother-Toddler Problem Solving: Antecedents in Attachment, Home Behavior, and Temperament

In a widely cited study, Matas, Arend, and Sroufe showed that mother-toddler interaction during problem solving at age 2 years was related to the child's prior attachment security. The current study asked (1) whether an independent laboratory could replicate this attachment finding, and (2) whether problem-solving interactions relate to mother-child interactions observed at home and to child temperament measured at 6, 13, and 24 months. Replicating Matas et al., secure dyads worked more competently, and mothers showed better quality of assistance and supportive presence. Mother-child home interaction also predicted problem solving: positive involvement at home predicted effective, unconflicted problem solving. Negative control at home did not predict problem-solving interaction. Unadaptable temperament was generally related to dependency in problem solving. Several patterns of correlations appeared to be mediated by sex of child, e.g., difficult temperament in boys predicted more effective, unconflicted problem solving, while for girls it predicted more conflict.     

Stress and Resources in Vocational Problem Solving

By adapting the job demands-resources model of Demerouti et al. Journal of Applied Psychology, 86(3), 499–512, (2001) to vocational problem-solving situations, we aimed to investigate how, and to what extent, problem-solving demands and personal resources affect stress responses and task interest. Therefore, we used a problem-solving task from the business administration domain in a computer-based office simulation. We assigned 58 participants into two groups. The treatment group worked on the problem scenario, whereas the control group was instructed to inspect the computer-based scenario and to check the software’s usability without solving the problem. Problem-solving demands, perceived stress, task interest, cardiovascular parameters, and cortisol concentration were assessed before, during and after the task at several time points. The vocational problem-solving task was associated with perceived time pressure, uncertainty, mental effort, task difficulty, and perceived stress. In addition, we found higher heart rate and cortisol concentration and lower heart rate variability values in the treatment group (compared to the control group) at the end of the task. Furthermore, we found that content knowledge buffers the impact of problem-solving demands on stress responses and it maintains task interest under high mental effort. Overall, we found evidence that vocational problem-solving activities bear stress-evoking potential and personal resources may provide buffering and maintaining functions.     

Applying mathematics with real world connections: metacognitive characteristics of secondary students

This paper reports an intensive study of problem-solving activity of female students at the senior secondary level. The study focussed both on the mathematical processing and the underlying cognitive and metacognitive activities that led to that processing. Response maps were used to analyse and categorize the written responses from individual students while videotaped problem solving sessions and structured and free response interviews probed the students' metacognitive knowledge, strategies, decision making, beliefs and affects. Metacognitive activities were involved in all phases of the solution process with key points in students' solutions identifiable in terms of the cognitive-metacognitive framework of Garofalo and Lester (1985). On average more time was spent on orientation and execution activities with little time being spent on organisation and verification activities, however, the successful groups spent less time on orientation than the other groups. All successful groups displayed a high number of key points where metacognitive decisions could influence cognitive action. Success was accompanied by a tendency to engage in a high number of organisational activities, regulation of execution activities and evaluation activities particularly evaluation of execution but fewer opportunities where metacognitive decisions could influence cognitive actions during orientation.     

Patterns of Verbal Mediation During Problem Solving: A Sequential Analysis of Self-Explanation

The explanations that participants give themselves (self-explanations) while learning or solving problems have been shown to be positively associated with various performance measures. The major aim of this study was to identify patterns of self-explanation that distinguish between good and poor problem solvers. Thirty-two Grade 9 students were asked to solve 3 mixture problems—1 warm-up problem and 2 test problems—while thinking aloud. The problem-solving process was videotaped, protocols were transcribed, and 5 content categories were identified. Through a sequential analysis, patterns of self-explanation that differentiate between good and poor problem solvers were identified.     

Teacher interactions and effects on group triple problem solving space

ABSTRACT

Research shows that collaborative work promotes student learning and improves social skills, but teachers are still exploring how to best support problem-solving in a small group context, particularly in the science classroom. This study builds on prior research to characterise teacher interactions with small groups in secondary science and analyses how those interactions affect a collectively constructed space – the triple problem solving space (TPSS) – in which group members collectively understand a task (content/cognitive dimension), manage social interactions (social/relational dimension), and co-construct the emotional life of the group (affective dimension). Results of two biology teachers’ interactions with students in small groups working on inquiry and engineering design activities show that most interactions were administrative and had little influence on the group’s TPSS. Teacher interactions that engaged students in monitoring their problem-solving process, however, did have the capacity to increase cognitive work of the group, which subsequently impacted the students’ group affect and social dimension. These findings suggest that interactions focused on cognitive processes have the potential to support all aspects of a group’s TPSS. Though this research is only a first step in understanding the impact of teacher interactions on small group work, implications for teaching practices are discussed.     

Getting the Feel: Email Usage in a Nonprofit Community Organization in a Low-Income Community

Through in-depth interviews of 26 employees, this study examined how social norms and values influence email usage in a nonprofit organization in a low-income urban community. Although adequate technical infrastructure was in place, a shared norm on getting a feel in social interactions reinforced face-to-face communication as the primary mode of communication among members. This norm, coupled with a lack of computer literacy and of technical support, led to low email usage and slow adaptation to external technological change. These findings revealed the importance of improving members' technical competence to experience a feel in computer-mediated communication before initiating changes in technology use.     

Relative effects of three questioning strategies in ill-structured,small group problem solving

The purpose of this research is to investigate the relative effectiveness of using three different question-prompt strategies on promoting metacognitive skills and performance in ill-structured problem solving by examining the interplay between peer interaction and cognitive scaffolding. An ill-structured problem-solving task was given to three groups. One group (Type QP) received instructor-generated question prompts that guided the problem-solving process; the second group (Type PQ) developed their own peer-generated questions; another group (Type PQ-R) developed their own question prompts first and revised them later with an instructor-generated question list. In this study, students in the QP group outperformed those in any other groups. The results revealed that providing instructor-generated question prompts was more effective than letting students develop their own questions, with or without revision, in ill-structured problem solving. Analysis of each of the four problem-solving stages revealed that the provided question prompts were more helpful in the stages of justification, and monitoring and evaluating than student-generated prompts. The difference between PQ and PQ-R groups is not statistically significant either overall or in any of the problem-solving stages.     

Assessing collaborative computing: development of the Collaborative-Computing Observation Instrument (C-COI)

This paper describes the development, validation, and uses of the Collaborative Computing Observation Instrument (C-COI), a web-based analysis instrument that classifies individual and/or collaborative behaviors of students during computing problem-solving (e.g. coding, programming). The C-COI analyzes data gathered through video and audio screen recording software that captures students’ computer screens as they program, and their conversations with their peers or adults. The instrument allows researchers to organize and quantify these data to track behavioral patterns that could be further analyzed for deeper understanding of persistence and/or collaborative interactions. The article provides a rationale for the C-COI including the development of a theoretical framework for measuring collaborative interactions in computer-mediated environments. This theoretical framework relied on the computer-supported collaborative learning literature related to adaptive help seeking, the joint problem-solving space in which collaborative computing occurs, and conversations related to outcomes and products of computational activities. Instrument development and validation also included ongoing advisory board feedback from experts in computer science, collaborative learning, and K-12 computing as well as classroom observations to test out the constructs in the C-COI. These processes resulted in an instrument with rigorous validation procedures and a high inter-rater reliability.     

Visual spatial representation in mathematical problem solving by deaf and hearing students

This research examined the use of visual-spatial representation by deaf and hearing students while solving mathematical problems. The connection between spatial skills and success in mathematics performance has long been established in the literature. This study examined the distinction between visual-spatial "schematic" representations that encode the spatial relations described in a problem versus visual-spatial "pictorial" representations that encode only the visual appearance of the objects described in a problem. A total of 305 hearing (n = 156) and deaf (n = 149) participants from middle school, high school, and college participated in this study. At all educational levels, the hearing students performed significantly better in solving the mathematical problems compared to their deaf peers. Although the deaf baccalaureate students exhibited the highest performance of all the deaf participants, they only performed as well as the hearing middle school students who were the lowest scoring hearing group. Deaf students remained flat in their performance on the mathematical problem-solving task from middle school through the college associate degree level. The analysis of the students' problem representations showed that the hearing participants utilized visual-spatial schematic representation to a greater extent than did the deaf participants. However, the use of visual-spatial schematic representations was a stronger positive predictor of mathematical problem-solving performance for the deaf students. When deaf students' problem representation focused simply on the visual-spatial pictorial or iconic aspects of the mathematical problems, there was a negative predictive relationship with their problem-solving performance. On two measures of visual-spatial abilities, the hearing students in high school and college performed significantly better than their deaf peers.     

The effects of informational complexity and working memory on problem-solving efficiency

This study investigated the influence of informational complexity and working memory capacity on problem-solving efficiency. We examined two predictions of thesituational efficiency hypothesis, which states that the efficiency of problem solving varies as a function of situational constraints. One prediction is that informational complexity affects problem-solving efficiency. A second prediction is that working memory capacity affects problem-solving efficiency. Students completed a working memory task and solved abstract and concrete syllogisms. Participants solved abstract syllogisms more accurately than concrete syllogisms and spent more time solving abstract syllogisms. Thus participants demonstrated greater problem-solving efficiency when solving concrete syllogisms. Results indicate that there is a trade-off between problem-solving accuracy and problem-solving time when information differs with respect to informational complexity, a phenomenon we refer to as theefficiency paradox. Working memory capacity did not affect accuracy or efficiency. The results support the conclusion that problem-solving efficiency is situational and a function of the complexity of information. Educational implications and directions for future research are suggested.     

Development of the Teacher Feedback Observation Scheme: evaluating the quality of feedback in peer groups

Research suggests that feedback is an essential element in learning. This study focuses on feedback that teachers provide in reciprocal peer groups to improve their performance in the classroom. The Teacher Feedback Observation Scheme (TFOS) was developed to identify feedback patterns, which approaches feedback as a multidimensional process. The TFOS helps acquire insights into the effectiveness of feedback, and provides information regarding the situations in which possible interventions can be undertaken if feedback is declining and becoming ineffective. This may especially be necessary when the communication of feedback is mediated by information and communications technology (ICT). The TFOS was piloted using videotaped sessions of three face-to-face groups, as well as one virtual group, using discussion wikis. All four groups of teachers used the Video Intervision Peer-coaching (VIP) procedure. The findings reveal that feedback in the virtual group was less effective than it was in the face-to-face groups. In addition, ineffective feedback patterns in the face-to-face groups transitioned into more effective feedback patterns. The TFOS appears to be adept at identifying feedback patterns in peer groups.     

Interaction Patterns of Mixed Sex Groups in Educational Computer Conferences. Part I-Empirical Findings

ABSTRACT This article considers the patterns of interaction in small, mixed sex groups of postgraduate students working in computer conference environments. Additionally, the views of participants concerning gender issues in these groups are examined. The research reported here differs from previous work in this area in several ways: the medium of communication is asynchronous computer conferences rather than face-to-face; the study is naturalistic rather than experimental; and it involves the study of groups that met over extended periods of time. The findings suggest that this new medium of group work offers new opportunities for female members of mixed sex groups, especially in terms of their ability to take turns, speak for similar lengths of time to those of male members, and direct the conversations. Generally, females appear to be at less of a disadvantage in this medium than in face-to-face meetings. It would seem that this medium offers the potential for greater equality of participation for females in mixed sex learning groups.     

The development of social cognitive processes among juvenile delinquents and nondelinquent peers

Using 10-11- and 14-15-year-old delinquents and nondelinquents, the present project was intended to investigate: (a) the extent of delinquent-nondelinquent differences on moral reasoning tasks; (b) whether delinquents display less knowledge about social problem solving, or social metacognition, in comparison to nondelinquents; (c) whether the deficiency by delinquents on a social problem-solving task could be lessened with clues to be more strategic; and (d) whether age differences would be observed on these tasks and whether age would interact with delinquency. Developmental differences for age, but not for delinquency, were observed in mortal judgment and prosocial moral reasoning. Under certain conditions, older nondelinquents performed better than other groups while considering some dimensions of social problem solving. Age differences were also noted on the social problem-solving task. When subjects were provided with clues as an organizing strategy on this latter task, all groups scored at levels higher than their no-clues performances. All groups except younger delinquents displayed comparable knowledge about strategies to solve social problems. The findings are discussed in terms of Flavell's processing model of social cognition.     

Metacognition in joint discussions: an analysis of the patterns of interaction and the metacognitive content of the networked discussions in mathematics

The aim of this study was to examine metacognition in computer-supported collaborative problem solving. The subjects of the study were 13-year-old Finnish secondary school students (N = 16). The Knowledge Forum learning environment was used to support student pairs’ problem-solving task involving polygons in a geometry course. The data consist of the student pairs’ posted computer notes (n = 95). To examine metacognition in a social context in the networked discussions, the features and patterns of networked interaction, the metacognitive content of the computer notes and their relations were examined. To examine the features of networked interaction, the social network analysis measures were used. The patterns of networked interaction were displayed with the multidimensional scaling technique. In the analysis, metacognitive contents of the computer notes were categorized as metacognitive knowledge, metacognitive skills, and not metacognitive. Further, with the correspondence analysis, we examined how the student pairs’ metacognitive activity was distributed. The results of the study revealed that the metacognitive activity varied among participants, although some aspects of metacognition such as planning were never encountered. It was found that there is a relation between metacognitive activity and the features of interaction. The student pairs who monitored and evaluated the ongoing discussions had a strategically optimal position in the communication network.