The early detection of students' academic performance or final grades helps instructors prepare their online courses. In the Open University Learning Analytics Dataset, I found many online students clicked the course materials before the first day of class. This study aims to investigate how data mining models can use this student interaction data…

When using information retrieval (IR) systems, users often pose short and ambiguous query terms. It is critical for IR systems to obtain more accurate representation of users' information need, their document preferences, and the context they are working in, and then incorporate them into the design of the systems to tailor retrieval to…

The Indian Institute of Science is proud to host the fully in-person sixteenth iteration of the International Conference on Educational Data Mining (EDM) during July 11-14, 2023. EDM is the annual flagship conference of the International Educational Data Mining Society. The theme of this year's conference is "Educational data mining for…

Discussion of connectionist views for adaptive clustering in information retrieval focuses on a connectionist clustering technique and activation spreading-based information retrieval model using the interaction information retrieval method. Presents theoretical as well as simulation results as regards computational complexity and includes…

Discussion of relevance in information retrieval focuses on manifestations of relevance within a system of relevance. Discusses intention, context, inference, and interaction; explains the concepts of affective, motivational, situational, and socio-cognitive relevance; and proposes a consolidated model of relevance manifestations. (Author/LRW)

Presents an interaction model and an experimental method for information retrieval. This automated method helps identify which user and system variables are relevant, which are independent of other variables, and which ranges of the variables are most important. Results show that relevance feedback consistently improves retrieval performance. (AEF)

Presents a stratified model of information retrieval interaction that views interaction as a dialog between participants (user and computer) through an interface. Discusses traditional and interaction models, and extension to relevance, user modeling, search term selection, and types of feedback in information retrieval. (AEF)

Discussion of information retrieval focuses on an Interaction Information Retrieval model in which documents are interconnected; queries and documents are treated in the same way; and retrieval is the result of the interconnection between query and documents. A theoretical mathematical formulation of this type of retrieval is given. (Contains 31…

The contradictory nature of the phrase user-oriented interface (UOI) as commonly applied to retrieval systems is discussed, and a different approach to the problem made feasible through improvements in the technology is described. (Author/JPF)

Presents an overview of feedback within the cybernetics and social frameworks. These feedback concepts are then compared with the interactive feedback concept evolving within the framework of information seeking and retrieving, based on their conceptualization of the feedback loop and notion of information. (Author/AEF)

Presents an overview of the IR-NLI II system, an expert interface that allows users to access online information retrieval systems and that encompasses user modeling capabilities. Highlights include the design of the system, the structure and content of stereotypes that represent typical classes of users, and construction of user models.…

Examines traditional and interactive models that have emerged in information retrieval (IR), and proposes an interactive IR model based on different levels in the interactive processes. Analyzes strengths and weaknesses of the traditional model. Concludes with general remarks on the state of IR interaction research. (Author/AEF)

Presents results of a study that explores factors of user-Web interaction in finding factual information, develops a conceptual framework for studying user-Web interaction, and applies a process-tracing method for conducting holistic user-Web studies. Describes measurement techniques and proposes a model consisting of the user, interface, and the…

Describes a model of information retrieval as social interaction, which distinguishes between three types of information interaction goals: (1) task-oriented; (2) topically oriented; and (3) those centered around situation assessment (SA). Results suggest that SA is an important cognitive activity in new information retrieval environments; SA…

Compares the traditional model of the reference interview with a new model based on online information process. Findings offer new perspectives on the reference interview process and lend support to the adoption of a new reference model which shifts its venue from a person to person process, to one in which information itself provides the platform…