Background: Guidance has showed positive effects on promoting inquiry-based learning in science education. While an increasing number of studies focus on the design of guidance in simulation-based inquiry learning due to recent technology developments, how different designs of a same type of guidance affect learning remains a question. Objectives:…

This study explored, from the perspective of intellectual passion developed by Michael Polanyi, the unintended learning that occurred in primary practical science lessons. We use the term "unintended" learning to distinguish it from "intended" learning that appears in teachers' learning objectives. Data were collected using…

Social network perspectives acknowledge the influence of disciplinary cultures on academics' teaching beliefs and practices with implications for academic developers. The contribution of academic developers in 18 scholarship of teaching and learning (SoTL) projects situated in the sciences are explored by drawing on data from a two-year national…

According to a century-old tradition in biological thinking, organisms can be considered as being optimally designed. In modern biology this idea still has great heuristic value. In evolutionary biology a so-called design heuristic has been formulated which provides guidance to researchers in the generation of knowledge about biological systems.…

The purpose of this study was to examine students' understanding of argumentation when talk and writing were provided as learning tools, as well as to explore how talk and writing can best support students' construction of scientific knowledge. Most current studies have examined discourse patterns over a short interval of only a few class periods…

This study aims to add to the growing research related to the implementation of non-traditional writing tasks in classrooms to encourage science literacy. A secondary reanalysis methodology was employed to review student interviews collected as a part of several individual studies during a ten year research program. This method established an…

This paper describes the transcendental method of Bernard Lonergan and its relevance to science education in general, and to physics education in particular. Lonergan formulated a cognitional theory, based upon the self-assembling dynamic invariant structure of human knowing, that unfolds the complex relation among knowing, objective knowledge,…

Examines how problem solving in the domain of Mendelian genetics proceeds in situations where solvers' mental models are insufficient to solve problems at hand (model-revising problem solving). The study addressed the heuristics characteristic of successful model-revising problem solving and other aspects of student model use. (LZ)

Summarizes research that contrasts the approaches and attitudes of successful and unsuccessful problem solvers. Supplies a categorized list of problem solver characteristics. (RT)

Describes an artificial intelligence system known as SOAR that approximates a theory of human cognition. Discusses cognition as problem solving, working memory, long term memory, autonomy and adaptability, and learning from experience as they relate to artificial intelligence generally and to SOAR specifically. Highlights the status of the…

Considers research concentrating on the correlation between knowledge structure and learning. Suggests implications of this research to classroom teaching. Cites characteristics of unsuccessful and successful problem solvers. (RT)

This paper illustrates a model of the layperson's reasoning patterns under conditions of uncertainty, the "outcome approach," which was developed from analysis of videotaped problem-solving interviews with 16 undergraduate students. According to the outcome approach, the goal in questions of uncertainty is to predict the outcome of an…

Describes the novice-to-expert model of human learning and compares it to the recent advances in the areas of artificial intelligence and expert systems. Discusses some of the characteristics of experts, proposing connections between them with expert systems and theories of left-right brain functions. (TW)

Differentiates between learning efficiency (enhancing the rate of learning) and learning effectiveness (enhancing the mastery and retention of facts, concepts, and relationships). Discusses some of the contributions of knowledge engineering to metalearning. Provides a concept map for constructing knowledge bases, along with some possible…