Teaching and learning programming has presented many challenges in institutions of higher learning worldwide. Teaching and learning programming require cognitive reasoning, mainly due to the fundamental reality that the underlying concepts are complex and abstract. As a result, many institutions of higher learning are faced with low success rates…

Simulation games are games for learning based on a reference in the real world. We propose a model for authenticity in this context as a result of a compromise among learning, playing and realism. In the health game used to apply this model, students interact with characters in the game through phone messages, mail messages, SMS and video.…

Heuristics embodying limited information search and noncompensatory processing of information can yield robust performance relative to computationally more complex models. One criticism raised against heuristics is the argument that complexity is hidden in the calculation of the cue order used to make predictions. We discuss ways to order cues…

Teaching science with computer simulations is a complex undertaking. This case study examines how an experienced science teacher taught chemistry using computer simulations and the impact of his teaching on his students. Classroom observations over 3 semesters, teacher interviews, and student surveys were collected. The data was analyzed for (1)…

Take-the-best (TTB) is a fast and frugal heuristic for paired comparison that has been proposed as a model of bounded rationality. This heuristic has been criticized for not taking compound cues into account to predict a criterion, although such an approach is sometimes required to make accurate predictions. By means of computer simulations, it is…

The purpose of this evaluation of DEMOS, a system for decision modeling and uncertainty analysis, was to identify some generic issues of interest in the design of such information systems, obtain insights about the causes of problems in their use, and to suggest hypotheses about how to deal with them. (EM)

The purpose of this study was to determine the procedural knowledge brought to, and created within, a pond ecology simulation by students. Environmental Decision Making (EDM) is an ecosystems modeling tool that allows users to pose their own problems and seek satisfying solutions. Of specific interest was the performance of biology majors who had…

Describes experiential learning instructional model and simulation for student principals. Describes interactive laser videodisc simulation. Reports preliminary findings about student principal learning from simulation. Examines learning approaches by unsuccessful and successful students and learning levels of model learners. Simulation's success…

Reacts to Ohlsson, Ernst, and Rees' paper by initially discussing the costs of methodology that utilizes artificial intelligence (AI) to model cognitive processes. Raises three concerns with the paper: insufficient clarification of the meaning of conceptual versus procedural understanding of base-10 subtraction; realism of the learning model; and…

Describes a deterministic computer model that incorporates: (1) initial framework composition; (2) abrasion factors for quartz, feldspar, and rock fragments; and (3) a fragmentation ratio for rock fragments to simulate the recycling of coastal sands by rivers and beaches. (TW)

Describes a computer simulation based on quarterly models of the U.S. economy during World War I, the Roaring Twenties, the Great Depression, and World War II. Recommends using these simulations to teach facts and knowledge, and as heuristic devices to develop an understanding of complex economic and historical relationships. (LS)

Presents thinking-aloud protocols from secondary pupils solving arithmetic story and geometrical problems and analyzes their protocols by using interpretation models founded on a general problem-solving model. A word problem solving simulation is also used to further explicate processes pupils use to solve mathematical tasks. (Author/MBR)

The essays collected in this volume are concerned with the field of computer-based intelligent instruction. The papers are organized into four groups that address the following topics: particular theoretical approaches (3 titles); the development and improvement of tools and environments (3 titles); the power of well-engineered implementations and…

This paper describes NEOMYCIN, a computer program that models one physician's diagnostic reasoning within a limited area of medicine. NEOMYCIN's knowledge base and reasoning procedure constitute a model of how human knowledge is organized and how it is used in diagnosis. The hypothesis is tested that such a procedure can be used to simulate both…