Decision making is the most common kind of problem solving. It is also an important component skill in other more ill-structured and complex kinds of problem solving, including policy problems and design problems. There are different kinds of decisions, including choices, acceptances, evaluations, and constructions. After describing the centrality…

The purpose of this paper is to familiarize instructional designers and researchers with a useful design and research paradigm known as "Ask Systems." Ask Systems are interrogative interfaces to information and learning environments that model conversations with a skilled, reflective practitioner (Schon, The reflective practitioner, "1983") or…

In this study, the effects of reflective self-explanations on conceptual understanding and problem solving are investigated in a domain of computer programming. After completing a multiple-choice test, 33 students were asked to reflect on and explain why their answers were correct or incorrect. Groups were divided for post hoc analysis based on…

Meaningful learning requires deep engagement with ideas. Deep engagement is supported by the critical thinking skill of argumentation. Learning to argue represents an important way of thinking that facilitates conceptual change and is essential for problem solving. In order to appropriately apply argumentation practices to learning, we first…

Causal reasoning represents one of the most basic and important cognitive processes that underpin all higher-order activities, such as conceptual understanding and problem solving. Hume called causality the "cement of the universe" [Hume (1739/2000). Causal reasoning is required for making predictions, drawing implications and inferences, and…

In this paper, the author presents his arguments to Fox's premise that functional contextualism has an implications for designing instruction. Fox argues that functional contextualism is an alternative to constructivism because constructivism has not empirically demonstrated its effectiveness. However, the author finds this assertion troubling for…

The field of instructional design has traditionally treated concepts as discrete learning outcomes. Theoretically, learning concepts requires correctly isolating and applying attributes of specific objects into their correct categories. Similarity views of concept learning are unable to account for all of the rules governing concept formation,…

Cognitive simulations are runnable computer programs for modeling human cognitive activities. A case study is reported where expert systems were used as a formalism for modeling metacognitive processes in a seminar. Building cognitive simulations engages intensive introspection, ownership and meaning making in learners who build them. (Author/AEF)

Discusses the increased emphasis on problem solving and problem-based learning in instructional design and the need for new methods for task analysis and models for designing instruction. Defines the rationale and means for analyzing, organizing, and presenting stories to support problem solving by case-based reasoning. (Author/LRW)

This study examined the use of online argumentation scaffolds to engage and support coherent argumentation. Participants were students in an undergraduate economics course. Results showed that providing a constraint-based argumentation scaffold during group problem-solving activities increased the generation of coherent arguments and resulted in…

Discussion of computers as mindtools focuses on semantic networks and expert systems that help learners build a representation of what they know by designing their own knowledge bases. Describes a study of undergraduates that examined the effects of building semantic networks on the construction of expert systems. (Author/LRW)

Discussion of computer-mediated group problem solving focuses on a study of undergraduates that compared the perceptions of participants, the nature of the comments made, and the patterns of communication in face-to-face and computer conferencing groups in terms of problem-solving activities while solving well-structured and ill-structured…

Proposes a metatheory of problem solving. Describes differences among problems in terms of their structured ness, domain specificity (abstractness), and complexity; describes individual differences that affect problem solving; and presents a typology of problems, each of which engages different cognitive, affective, and conative process and…

Defines activity theory as a socio-cultural and socio-historical lens through which the interaction of human activity and consciousness within its relevant environmental context can be analyzed. Describes how activity theory can be used as a framework for analyzing activities and settings for the purpose of designing constructivist learning…

Considers well-structured problems versus ill-structured problems and presents models for how learners solve them, as well as models for designing instruction to support problem-solving skill development. Information processing theories of learning, an emerging theory of ill-structured problem solving, constructivist learning, and situated…