Evidence from a range of fields indicates that inventions are often inspired by drawing a parallel to solutions found in nature. However, the cognitive mechanism of this process is not well understood. The cognitive mechanism of heuristic prototype in scientific innovation was tested with 3 experiments. First, 84 historical accounts of important…

In Revans' learning formula, L = P + Q, Q represents "questioning insight", by which Revans means that insight comes out of the process of questioning programmed knowledge (P) in the light of experience. We typically focus on the content of an insight rather than on the act of insight. Drawing primarily on the work of Bernard Lonergan this paper…

Diverse implicit cognitive elements seem to support but also constrain reasoning in different domains. Many of these cognitive constraints can be thought of as either implicit assumptions about the nature of things or reasoning heuristics for decision-making. In this study we applied this framework to investigate college students' understanding of…

This research explores the emergence of student creativity in classroom settings, specifically within two content areas: science and social studies. Fourteen classrooms in three elementary schools in Korea were observed, and the teachers and students were interviewed. The three types of student creativity emerging in the teaching and learning…

The characterization of students' cognitive biases is of central importance in the development of curriculum and teaching strategies that better support student learning in science. In particular, the identification of shortcut reasoning procedures (heuristics) used by students to reduce cognitive load can help us devise strategies to foster the…

The purpose of this study was to reconstruct writers' reasoning process as reflected in their written texts. The codes resulting from the text analysis were related to cognitive operations, ranging from simple to more sophisticated ones. The sequence of the cognitive operations as the text unfolded represents the writer's cognitive pathway at the…

This article discusses problem solving and how science educators can integrate problem solving into their instruction. The Search, Solve, Create, and Share (SSCS) model was developed based on the findings of problem solving research. (YP)

Discusses programs to provide a knowledge base and use the knowledge in a mode of artificial intelligence. Indicates that two methods of database storage are possible and opts to use a method using many data files while using a small RAM capacity. Lists several programs. (MVL)

Examines the hypothesis that there are preliminary stages in problem solving that are often neglected in teaching chemistry. Discusses correlations calculated between the student's ability to handle disembedding and cognitive restructuring tasks in the spatial domain and ability to solve chemistry problems. (TW)

Compares BASIC and LOGO systems in developing artificial intelligence systems. Provides listings of programs used for translating and sentence making. Describes methodology and compares the BASIC and LOGO programs. (MVL)

Compares a program written both in BASIC and LOGO on its inferential and decision making ability. Explains steps in each program and how deductions and decisions are made. (MVL)

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…