Based on our empirical studies of effective human tutoring, we developed an Intelligent Tutoring System, iList, that helps students learn linked lists, a challenging topic in Computer Science education. The iList system can provide several forms of feedback to students. Feedback is automatically generated thanks to a Procedural Knowledge Model…

A basic and classical assumption in the machine learning research area is "randomness assumption" (also known as i.i.d assumption), which states that data are assumed to be independent and identically generated by some known or unknown distribution. This assumption, which is the foundation of most existing approaches in the literature, simplifies…

Describes the mental coding processes involved in the flow of information when the user is interacting with an enabling information-retrieval (IR) system, or a system designed to stimulate the user's grasping towards a higher understanding of the information need/problem/task that brought the user to the system. (Author/AEF)

Explores what an intelligent information retrieval system involves and why expert system techniques might interest system designers. Expert systems research is reviewed with emphasis on components, architecture, and computer interaction, and it is concluded that information retrieval is not an ideal problem domain for expert system application at…

Examines users' cognitive, affective, and physical behaviors during user-Web interaction to understand better the nature of information retrieval on the Web, the needs of Web users, and the problem-solving strategies Web users employ. Describes and interprets searching behavior and problem-solving patterns within the relevant situational context…

IN GENERAL, PROBLEM SOLUTIONS CAN BE FOUND ALONG A CONTINUUM OF ABSTRACTION FROM THE SPECIFIC TO THE GENERAL. THERE IS, AT ANY GIVEN POINT IN THE DEVELOPMENT OF THE SOLUTION, A MOST EFFICIENT OR OPTIMUM STRATEGY. IN INFORMATION RETRIEVAL SYSTEMS THE ULTIMATE SOLUTION IS USUALLY OBTAINED, AT A MORE SPECIFIC RATHER THAN AT A MORE ABSTRACT LEVEL. THE…

The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…

Discusses the need for library science to examine users' search behaviors in the context of social cognition and creative problem solving. Topics covered include the psychology of search behavior, problem solving approaches to library instruction in online searching, and problem solving protocols. (29 references) (CLB)

The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…