This study examined the uses of computer-mediated communication (CMC) by educators in selected public schools. It used Rogers' Diffusion of Innovation Theory as the underpinnings of the study. CMC refers to any exchange of information that involves the use of computers for communication between individuals or individuals and a machine. This study was an exploration of difficulties users confront, what services they access, and the tasks they accomplish when using CMC. It investigated the factors that affect the use of CMC. The sample population was drawn from registered users on TENET, the Texas Education Network as of December 1997. The educators were described with frequency and percentages analyzing the demographic data. For the research, eight indices were selected to test how strongly these user and environmental attributes were associated with the use of CMC. These variables were (1) education, (2) position, (3) place of employment, (4) geographic location, (5) district size, (6) organization vitality, (7) adopter resources, and (8) instrumentality Two dependent variables were used to test for usage: (1) depth or frequency of CMC usage and amount of time spent online and (2) breadth or variety of Internet utilities used. Additionally, the users' perception of network benefits was measured. …

This investigation identifies end-user cognitive heuristics that facilitate judgment and evaluation during information retrieval (IR) system interactions. The study extends previous research surrounding relevance as a key construct for representing the value end-users ascribe to items retrieved from IR systems and the perceived effectiveness of such systems. The Lens Model of user cognition serves as the foundation for design and interpretation of the study; earlier research in problem solving, decision making, and attitude formation also contribute to the model and analysis. A self reporting instrument collected evaluative responses from 32 end-users related to 1432 retrieved items in relation to five characteristics of each item: topical, pertinence, utility, systematic, and motivational levels of relevance. The nominal nature of the data collected led to non-parametric statistical analyses that indicated that end-user evaluation of retrieved items to resolve an information problem at hand is most likely a multi-stage process. That process appears to be a cognitive progression from topic to meaning (pertinence) to functionality (use). Each step in end-user evaluative processing engages a cognitive hierarchy of heuristics that includes consideration (of appropriate cues), differentiation (the positive or negative aspects of those cues considered), and aggregation (the combination of differentiated cue aspects needed to …