Arlene Weiner’s research while affiliated with University of Pittsburgh and other places

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Publications (13)


Figure 1: Diagram by Students on HIV/AIDS Issue. 
Figure 2: Diagram by “Emin” and “Mo,” Galapagos Iguana Anomaly, early version of Belvedere 
Figure 3: Example consistency path identifying information to be used in advice
Automated advice-giving strategies for scientific inquiry
  • Conference Paper
  • Full-text available

January 2006

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390 Reads

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44 Citations

Lecture Notes in Computer Science

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A. Weiner

We describe a prototype advisor for students using Belvedere, an environment for conducting discussions about scientific controversies. The advisor has two strategic components, syntactic and consistency-based. Syntactic strategies are based on structural and categorical patterns in argument representations constructed by the students, and suggest ways in which students can continue their inquiry. Consistency-based strategies check student-made links between pairs of statements against the pairwise relations specified between corresponding units in a knowledge base constructed by a teacher or expert, and identify information that may challenge or corroborate relationships proposed by the students.

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Figure 1. B ELVEDERE Evidence Mapping Software 
Figure 3. Science Challenge Problem 
Figure 6. Example Evidence Pattern Advice 
Representational and Advisory Guidance for Students Learning Scientific Inquiry1

January 2001

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490 Reads

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87 Citations

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John Connelly

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Arlene Weiner

Scientific knowledge is dynamic in two senses: it changes and increases extremely rapidly, and it is thrust from the lab into the wider world and the public forum almost as rapidly. These trends place increasing demands on secondary school science education. Besides knowing key facts, concepts, and procedures, it is important for today's students to understand the process by which the claims of science are generated, evaluated, and revised - an interplay between theoretical and empirical work (Dunbar & Klahr, 1989). The educational goals behind the work reported in this chapter are to improve students' understanding of this process, facilitating students' acquisition of critical inquiry skills while also meeting conventional subject matter learning objectives. In addition to the need to change what is taught, there are grounds to change how it is taught. Research shows that students learn better when they actively pursue understanding rather than passively receiving knowledge (Brown & Campione 1994; Chi et al. 1989; Craik & Lockhart, 1972; Greeno et al. 1996; Resnick & Chi, 1988; Perkins et al. 1985; Webb & Palincsar, 1996). Accordingly, the classroom teacher is now being urged to become a "guide on the side" rather than the "sage on the stage." In parallel, new roles have been recommended for artificial intelligence applications to education, replacing computer-directed learning with software that augments the learning processes of students engaged in collaborative critical inquiry (Chan & Baskin, 1988; O'Neill & Gomez, 1994; Roschelle, 1994; Scardamalia & Bereiter, 1994). The present chapter describes an educational software package, known as "Belvedere," that supports students collaboratively solving ill-structured problems in science and other areas (such as public policy) as they develop critical inquiry skills. Belvedere exemplifies two ways in which artificial intelligence can contribute to student-centered approaches to learning: by informing the design of representational systems that constrain and guide learner's activities, and by responding dynamically to representations that learners construct in these representational systems.


Figure 1: Client interface illustrating the selection of a “snippet” from a pre-composed HTML document with the Netscape browsing tool. This article has three selectable snippets about the meteorite impact theory of mass extinction. 
Figure 2: Client interface illustrating the selection of a snippet from the In-Box for inclusion in the inquiry diagram. 
Figure 3: Interaction of student-client and coach components in Belvedere system.
Figure 4: Example of an expert diagram illustrating two competing theories of mass extinction: meteorite impact and lava floods. 
Figure 5: Example of expert advice given to student after establishing a data-for-hypothesis relationship. Advice is a pop-up dialogue box suggesting an alternative hypothesis found in expert diagram. 
Providing Expert Advice in the Domain of Collaborative Scientific Inquiry

July 1997

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236 Reads

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22 Citations

We describe an "expert coach" for students' collaborative information seeking and knowledge construction. This coach compares an expert's prespecification of the evidential relations among "snippets" of HTML-based text with the current state of a diagram constructed by students in the course of collaborative scientific inquiry. The expert advises the students by pointing out information that may challenge the students' views. 1 Introduction This paper describes our current work in providing students with expert feedback as they engage in collaborative scientific inquiry. Our advice-giving subsystem, part of a larger system known as Belvedere, comprises two primary components: an argument "coach" [2], and an expert "coach" (see companion paper in these proceedings [7] for more details about the architecture). The students' task is to seek and integrate information about a scientific controversy. The system provides a facility for them to construct an "inquiry diagram" to represent the...


Figure 1. Belvedere Inquiry Diagram and Advice 
Figure 2. Web-based Materials for Challenge Problem 
Figure 3. Sample Assessment Rubrics
An integrated approach to implementing collaborative inquiry in the classroom

January 1997

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824 Reads

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144 Citations

To be successful, CSCL technology must be adopted by teachers and incorporated into the activities of the classroom. This paper describes a comprehensive approach to supporting teachers learning to implement computer-supported collaborative inquiry in their classrooms. The approach comprises (1) a networked software system, "Belvedere," that provides students with shared workspaces for coordinating and recording their collaboration in scientific inquiry; (2) activity plans worked out collaboratively with teachers; (3) "challenge problems" and Web-based materials designed to match and enrich the curriculum, and (4) self- and peer-assessment instruments given to students to guide the process of scientific inquiry. A fundamental aim of this work is to restructure the classroom and shift the initiative for learning activity to the students.





Belvedere: Stimulating Students' Critical Discussion

February 1995

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100 Reads

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27 Citations

We describe "Belvedere," a system to support students engaged in critical discussion of science and public policy issues. The design is intended to address cognitive and metacognitive limitations of unpracticed beginners while supporting their practice of this complex skill. The limitations include (1) difficulty in focusing attention given the abstract and complex nature of theories and arguments, (2) lack of domain knowledge, and (3) lack of motivation. Belvedere addresses these limitations by (1) giving arguments a concrete diagrammatic form, and providing tools for focusing on particular problems encountered in the construction and evaluation of complex arguments; (2) providing access to on-line information resources; and (3) supporting students working in small groups to construct documents to be shared with others. Both prior psychological research and formative evaluation studies with users shaped the interface design. KEYWORDS: Collaborative Argumentation Environment, Educatio...


Figure 1: Diagram by Students on HIV and AIDS Issue. 
Figure 2: Diagram by “Emin” and “Mo,” Galapagos Iguana Anomaly. 
Groupware for developing critical discussion skills

January 1995

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341 Reads

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85 Citations

Increasingly, social and collaborative processes are seen as central to the development of thinking skills, including the skills of scientific thinking. With colleagues we have developed a software system (Belvedere) to support high-school science students in engaging in collaborative reasoning and argumentation. We discuss how Belvedere is designed to support students' collaborative processes, describe our formative evaluation studies, and provide examples of student sessions. Reflecting on students' inter-actions with Belvedere and each other, we then discuss the competencies and limitations of students in developing scientific argumentation and reasoning, as distinguished from and supported by their practice of everyday argumentation..


Software support for students engaging in scientific activity and scientific controversy

November 1994

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10 Reads

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32 Citations

Computer environments could support students in engaging in cognitive activities that are essential to scientific practice and to the understanding of the nature of scientific knowledge, but that are difficult to manage in science classrooms. The authors describe a design for a computer-based environment to assist students in conducting dialectical activities of constructing, comparing, and evaluating arguments for competing scientific theories. Their choice of activities and their design respond to educators' and theorists' criticisms of current science curricula. They give detailed specifications of portions of the environment. © 1994 John Wiley & Sons, Inc.


Citations (11)


... Challenges, for example, should be followed by justifications; defeaters by challenges or counter-defeaters. These are rules of argument "etiquette" or good conduct (Cavalli-Sforza et al., 1992;van Eemeren et al., 1996, chap. 11). ...

Reference:

Reasoning and Conversation
Strategies for contributing to collaborative arguments
  • Citing Article
  • January 1992

... Many concept mapping systems resemble early semantic networks (Quillian, 1968) in having imprecise semantics, and there is a continuum between concept maps and the precise visual languages used to define knowledge bases. For example, Toulmin's (Toulmin, 1958) analysis of scientific arguments can be given precise semantics (Cavalli-Sforza, Gabrys, Lesgold and Weiner, 1992), and Coreview (Wan and Johnson, 1992) prescribes a well-defined set of ontological primitives. Figure 2 shows the mission statement of the GNOSIS project as a concept map. ...

Engaging students in scientific activity and scientific controversy
  • Citing Article

... In addition to the fixed or static prompts, prompts that adapt to the learner's current needs have also been used, although the adaptation is not at the same level as a human tutor would provide (Azevedo et al., 2005;Koedinger & Corbett, 2006). Tools may also serve as scaffolds by providing alternative representations such as visualizations to help students with complex phenomena (Lu et al., 2010;Puntambekar et al., 2003;Suthers et al., 2001). For example, the CoMPASS e-textbook uses concept map visualizations to show relationships among science concepts and principles (Puntambekar et al., 2003). ...

Representational and Advisory Guidance for Students Learning Scientific Inquiry1

... This means that the tool helps extend student capabilities such that they are able to perform at a higher level than they would have otherwise. For example, Belvedere invites students to articulate important concepts that interrelate in the problem and diagram and characterize links among these concepts through concept mapping (Cavalli-Sforza, Weiner, & Lesgold, 1994;Cho & Jonassen, 2002). ...

Software support for students engaging in scientific activity and scientific controversy
  • Citing Article
  • November 1994

... Therefore, our approach can be viewed as a complementary, semi-automatic tool that adds awareness features in a broad category of argumentation support systems. Compared to related approaches, Belvedere's advisor (Paolucci et al., 1996) automatically assesses the validity of components of arguments either through its pairwise comparison of relations against an expert's diagram (consistency advisor), or through the rule-based, syntactic validation of diagrams against explicit conditions. The DOCE algorithm follows a machine learning approach in order to classify arbitrarily sized clusters of contributions (Mclaren et al., 2010). ...

Automated advice-giving strategies for scientific inquiry

Lecture Notes in Computer Science

... Our approach differs in that we monitor individual work in private workspaces as well as the shared workspace to identify conflicts. Other studies have used automated coaches to give advice when a student's solution differs from an expert's solution (Burton & Brown, 1982;Paolucci, et al., 1996). In contrast, our work evaluates the possibility of giving advice without comparing student work with an expert solution. ...

Automated Advice-Giving Strategies for Scientific Inquiry.

... For example, students may form small groups to discuss ethical dilemmas presented in Islamic texts or contemporary issues facing Muslim communities. Through structured dialogue and reflection, students deepen their understanding of Islamic values and their application in everyday life [41]. ...

An integrated approach to implementing collaborative inquiry in the classroom

... English is accepted as the common language for global science [52]; so, scientific discussion is conducted in English. Scientific thinking and discussion is classed as a soft skill, meaning the experts possess social and collaborative processes central to these ideas [65]. The ability to learn a second language is often coupled with higher learning capacity [66], which is a very attractive trait. ...

Groupware for developing critical discussion skills

... Collaborative argumentation is viewed as a key way in which students can acquire critical and reflective thinking skills (Andriessen, 2006). Several researchers have investigated the use of CSCL tools in supporting argumentation, using tools such as Belvedere (Paolucci, Suthers, & Weiner, 1995), SenseMaker (Bell, 2004), Drew (Baker, Quignard, Lund, & Sejourne, 2003), pro-con tables (Schwarz & Glassner, 2003), and matrices (Suthers & Hundhausen, 2003). One of the primary reasons for using these tools is that they provide visual representations of the thinking and argumentation learners are engaged with, and thus stimulate collaboration and sharing of ideas (Bell, 2004;Van Bruggen, Boshuizen, & Kirschner, 2003). ...

Belvedere: Stimulating Students' Critical Discussion

... Belvedere (Suthers et al., 1995) is another example of using representations to make the epistemic structure of students' knowledge work explicit. Belvedere specifically focuses on supporting students' epistemic practices related to argumentation. ...

Belvedere: Engaging Students in Critical Discussion of Science and Public Policy Issues