In a seminal article published in 2006, Jeanette Wing described computational thinking (CT) as a way of "solving problems, designing systems, and understanding human behavior by drawing on the concepts fundamental to computer science." Wing's article gave rise to an often controversial discussion and debate among computer scientists,…

We explored how speakers and listeners use hand gestures as a source of perceptual-motor information during naturalistic communication. After solving the Tower of Hanoi task either with real objects or on a computer, speakers explained the task to listeners. Speakers' hand gestures, but not their speech, reflected properties of the particular…

According to industry representatives, computer science education needs to emphasize the processes involved in solving computing problems rather than their solutions. Most of the current assessment tools used by universities and computer science departments analyze student answers to problems rather than investigating the processes involved in…

We have developed a process model that learns in multiple ways while finding faults in a simple control panel device. The model predicts human participants' learning through its own learning. The model's performance was systematically compared to human learning data, including the time course and specific sequence of learned behaviors. These…

Since a large variety of digital games have been used in many fields for educational purposes, their real functions in learning have caught much attention as well. This study first defines learning characteristics of problem-solving digital games and their corresponding cognitive levels, then designs and develops a problem-solving game in…

Three experiments investigated whether children in grades K, 2, and 4 (n = 144) view emotional comprehension as important in solving moral dilemmas. The experiments asked whether a human or an artificially intelligent machine would be best at solving different types of problems, ranging from moral and emotional to nonmoral and pragmatic. In…

This study investigated the amounts of problem-solving process information ("action," "why," "how," and "metacognitive") elicited by means of concurrent, retrospective, and cued retrospective reporting. In a within-participants design, 26 participants completed electrical circuit troubleshooting tasks under different reporting conditions. The…

The ability to generalize is probably the primary aspect of intelligence. The computer's inability to generalize is the major stumbling block associated with machine intelligence. (Author/CP)

In this paper, Simon describes contemporary information processing approaches to the study of learning and thinking, and discusses the relevance of these studies to the distinction between rote and meaningful learning. Before defining the basic terminology of information processing research, he provides a brief literature review, describing some…

Described are random, systematic, and guided trial-and-error strategies for problem-solving with a computer. (JH)

Describes Nelson and Mitroff's concept of "Bothsides" thinking and a replication of their experiment to determine whether it is possible to promote this type of thinking in decision-making by using an adequate stimulus and, if so, to find out what an adequate stimulus is. A reference list is included. (JL)

Several examples of student-written programs "teaching" a computer to guess systematically in finding a number between 0 and 10,000 are illustrated. These lend support to the contention that rather than being a "natural" application, using a binary search is a learned technique. (MN)

The goal of problem-solving education should be to develop tools for thinking that will constitute a shell or framework of action procedures that can be applied on an ever-changing database. These tools come in the form of heuristics that can be modified and adapted to new situations. (Author/MLW)

Reviews recent progress in modeling human cognition, in particular the use of computers in generating models. Topics covered include the information processing approach to cognition, problem solving, semantic memory, pattern induction, and learning and cognitive development. A 164-item reference list is attached. (JL)