953 research outputs found
Knowledge convergence in collaborative learning
In collaborative learning the question has been raised as to how learners in small groups influence one another and converge or diverge with respect to knowledge. Knowledge convergence can be conceptualised as knowledge equivalence and as shared knowledge prior to, during, and subsequent to collaborative learning. Knowledge equivalence refers to learners becoming more similar to their learning partners with regard to the extent of their individual knowledge. Shared knowledge means that learners have knowledge on the very same concepts as their learning partners. In this article, we provide measures for assessing both, knowledge equivalence and shared knowledge
Designing Effective Questions for Classroom Response System Teaching
Classroom response systems (CRSs) can be potent tools for teaching physics.
Their efficacy, however, depends strongly on the quality of the questions used.
Creating effective questions is difficult, and differs from creating exam and
homework problems. Every CRS question should have an explicit pedagogic purpose
consisting of a content goal, a process goal, and a metacognitive goal.
Questions can be engineered to fulfil their purpose through four complementary
mechanisms: directing students' attention, stimulating specific cognitive
processes, communicating information to instructor and students via
CRS-tabulated answer counts, and facilitating the articulation and
confrontation of ideas. We identify several tactics that help in the design of
potent questions, and present four "makeovers" showing how these tactics can be
used to convert traditional physics questions into more powerful CRS questions.Comment: 11 pages, including 6 figures and 2 tables. Submitted (and mostly
approved) to the American Journal of Physics. Based on invited talk BL05 at
the 2005 Winter Meeting of the American Association of Physics Teachers
(Albuquerque, NM
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Innovating Pedagogy 2015: Open University Innovation Report 4
This series of reports explores new forms of teaching, learning and assessment for an interactive world, to guide teachers and policy makers in productive innovation. This fourth report proposes ten innovations that are already in currency but have not yet had a profound influence on education. To produce it, a group of academics at the Institute of Educational Technology in The Open University collaborated with researchers from the Center for Technology in Learning at SRI International. We proposed a long list of new educational terms, theories, and practices. We then pared these down to ten that have the potential to provoke major shifts in educational practice, particularly in post-school education. Lastly, we drew on published and unpublished writings to compile the ten sketches of new pedagogies that might transform education. These are summarised below in an approximate order of immediacy and timescale to widespread implementation
From multiple perspectives to shared understanding
The aim of this study was to explore how learners operating in a small group reach shared understanding as they work out joint research questions and build a theoretical framework and to identify the resources and tools they used in the process. The learners’ own interpretations of their group activities and learning were also taken into account. The data, consisting of group discussions and the documents produced by the group, were subjected to a qualitative content analysis. The group members employed a variety of resources and tools to exchange their individual perspectives and achieve shared understanding. Summaries of relevant literature laid a foundation for the group’s theoretical discussions. Reflective comparisons between their book knowledge and their personal experiences of online interaction and collaboration were frequent, suggesting that such juxtapositions may have enhanced their learning by intertwining the content to be mastered and the activities entailed by this particular content
Methodological challenges for collaborative learning research
Research on collaborative learning, both face-to-face and computer-supported, has thrived in the past 10 years. The studies range from outcome-oriented (individual and group learning) to process-oriented (impact of interaction on learning processes, motivation and organisation of collaboration) to mixed studies. Collaborative learning research is multi-disciplinary. This introduces a multitude of theoretical accounts for collaborative learning, accompanied by a broad spectrum of methods to study processes and outcomes of collaboration. This special issue will provide an overview of methods that are at the core of current research effort, but also identifies opportunities and problems to sensibly combine methods into mixed method approaches
Mechanisms of common ground in case-based web discussions in teacher education
Previous studies suggest that before the participants in Web-based conferencing can reach deeper level interaction and learning, they have to gain an adequate level of common ground in terms of shared mutual understanding, knowledge, beliefs, assumptions, and pre-suppositions (Clark & Schaefer, 1989; Dillenbourg, 1999). In this paper, the main purpose is to explore how participants establish and maintain common ground in order to reach deeper level interaction in case-based Web-discussions. The subjects in this study consisted of 68 pre-service teachers and 7 mentors from three universities, who participated in the Web-based conferencing course for eight weeks. The written discussion data were analyzed by means of a combination of quantitative and qualitative methods. The results suggest that in order to establish common ground it is essential that the participants, especially as fellow students, not only show evidence of their understandings through written feedback, but also provide support to their peers in their replies. Presenting questions also signals the participant’s willingness to continue the discussion, which is essential for maintaining common ground
A framework to analyze argumentative knowledge construction in computer-supported collaborative learning
Computer-supported collaborative learning (CSCL) is often based on written argumentative discourse of learners, who discuss their perspectives on a problem with the goal to acquire knowledge. Lately, CSCL research focuses on the facilitation of specific processes of argumentative knowledge construction, e.g., with computer-supported collaboration scripts. In order to refine process-oriented instructional support, such as scripts, we need to measure the influence of scripts on specific processes of argumentative knowledge construction. In this article, we propose a multi-dimensional approach to analyze argumentative knowledge construction in CSCL from sampling and segmentation of the discourse corpora to the analysis of four process dimensions (participation, epistemic, argumentative, social mode)
Coordinating Networked Learning Activities with a General-Purpose Interface
Classrooms equipped with wirelessly networked tablets and handhelds can engage students in powerful collaborative learning activities that are otherwise impractical or impossible. However, the system must fulfill certain technological and pedagogical requirements such as tolerance for latecomers, supporting disconnected mode gracefully, robustness across dropped connections, promotion of both positive interdependence and individual accountability, and accommodation of differential rates of task completion. Two approaches to making a Tuple Space-based computer architecture for connectivity into an inviting environment for the generation and creation of novel coordinated activities were attempted. One approach made the technological “bones” of the system very clear but assumed user vision of the complex goals and settings of real education. The more satisfactory approach made clear how Tuple Spaces matches the complex goals and settings of real education, but backgrounded technical complexity. This approach provides users with a system, Group Scribbles, which may inspire a wide range of uses.SRI International
Virginia Tech
Newport Universit
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Integrated Common Sense and Theoretical Mental Models In Physics Problem Solving
Cognitive Scientists have recently developed models of physicists' problem solving behavior. Their models propose a rich set of cognitive constructs including procedures (Heller and Reif, 1984), problem-solving schemata (Larkin 1983), categorization rules (Chi,Feltovich & Glaser, 1981), phenomenological primitives(diSessa 1983), forward and backward chaining (Larkin,McDermott, Simon, & Simon, 1980), and qualitative reasoning (deKleer, 1975, Forbus 1986, deKleer and Brown, 1986, and others in Bobrow, ed. 1986). These constructs have proved useful in understanding aspects of physics reasoning.This paper udll provide an analysis of physics problem solving skill that integrates cognitive constructs previously considered disparate. The main point is this:Commonsense reasoning about situations provides an indispensable resource for coping with physics problem solving complexity. More precisely, I will argue that the systematic integration of the deep structure of situational and theoretical knowledge can reproduce competent physics cognition. To support this claim I will discuss the capabilities of running computer programs, written in Prolog, that implement several representations and reasoning processes. In addition, I will show how the Prolog models capture the essence of a think-aloud protocol of a physicist recovering from an error while working a novel problem
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创新教学报告2015 —探索教学、学习与评价的新形式 [Innovating Pedagogy 2015]
本报告提出了在教学应用方面呈现端倪的“十大创新教学法”,包括跨界学习、论证学习、随机 学习、基于情境的学习、计算思维、利用远程实验室在科学实验中学习、具身学习、适应性教学、情绪分析 和隐性评价,预期这些方法有可能在教育实践中,尤其是在学校后继续教育中引发重大变革
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