The Impact of the Introductory IS Course on Students\u27 Perceptions of IS Professionals

Increasing the number of students pursuing Information Systems (IS) majors and careers is vital to the advancement of our knowledge-based economy. Literature suggests that one of the main reasons for students’ lack of interest in IS has been the negative stereotypical image of IS professionals. Research has also emphasized that the introductory IS course plays a significant role in busting prevailing myths about the IS profession and in attracting larger pools of students to the discipline. Therefore, the purpose of this study was to understand students’ perceptions of IS professionals before and after they were exposed to the IS field and careers through the introductory IS course. The findings suggest that students’ image of IS professionals might not be as negative as previously thought. Furthermore, the study confirms the importance of the introductory IS course on how students view the IS field. The paper concludes with a discussion of the findings, implications, limitations, and future research directions

Electrochemically Obtained Insulating and Conducting Polymers and Composites of Acrylonitrile

Electrochemically obtained polyacrylonitrile and a commercial polyacrylonitrile were heat treated to improve their conductivities. The parameters chosen for heat treatment conditions were the temperature, treatment medium (vacuum or air) and, doping agent. The conductivity of all heat treated polymers was measured. The characterization of the heat treated polymers was made by IR analysis. The composite films of polyacrylonitrile with polypyyrole and polythiophene were electrochemically prepared at different compositions. The change in the conductivity of composites was analyzed as a function of the percent composition of the insulating component. IR, DSC, TGA and SEM analyses were used to characterize the polymer composites

Immobilization of invertase in conducting polymer matrices

Cataloged from PDF version of article.This paper reports a novel approach in the electrode immobilization of an enzyme, invertase, by electrochemical polymerization of pyrrole in the presence of enzyme. The polypyrrolelinvertase and polyamide/polypyrrole/invertase electrodes were constructed by the entrapment of enzyme in conducting matrices during electrochemical polymerization of pyrrole. This study involves the preparation and characterization of polypyrrole/invertase and polyamidelpolypyrrolelinvertase electrodes under conditions compatible with the enzyme. It demonstrates the effects of pH and temperature on the properties of enzyme electrode. Enzyme leakage tests were carried out during reuse number studies. The preparation of enzyme electrodes was done in two different electrolyte/ solvent systems. The enzyme serves as a sucrose electrode and retains its activity for several months. (c) 1997 Elsevier Science Limited. All rights reserve

Online Advice Taking: Examining the Effects of Self-Efficacy, Computerized Sources, and Perceived Credibility

The Internet offers limitless advice on a multitude of products and services. The quality of the advice varies and is inherently a matter of human judgment. To help users determine the quality of advice and whether to use the advice, design features of web sites include information about the type and credibility of the advice source. This research examines how characteristics of the online user (i.e., self-efficacy) and characteristics of the advice source (i.e., type and credibility) affect advice taking in an online investing context. A laboratory experiment provides evidence that users with higher levels of self-efficacy are less likely to take advice than those with lower levels of self-efficacy. Results also suggest users given highly credible advice are more likely to take the advice compared to users who receive advice with dubious credibility. The implications are discussed

Invited Paper: Teaching Information Systems in the Age of Digital Disruption

The Information Systems discipline has long suffered an identity crisis. It has also been prone to program sustainability issues as a technology focus has waxed and waned over the last 50 years. This paper suggests a new approach to teaching Information Systems, utilizing the notion of “fundamental and powerful concepts.” Using digital disruption as a fundamental and powerful concept, the authors argue for the core IS course and the courses that make up the major to be developed and centered around the transformation of business models, products, and services caused by emerging digital technologies. The paper includes an outline for the core IS course and the other courses in the major and concludes with a suggestion that the fundamental and powerful concept of digital disruption be used as an approach to teaching Information Systems

Primary extranodal Non-Hodgkin`s lymphoma presenting as painful gingval swelling

Primary extra-nodal non-Hodgkin’s lymphomas (NHL) constitute 25–40% of NHL but less than 1% arises in oral cavity. Here in 53-year-old man with stage IE gingival diffuse large B cell lymphoma who was treated successfully with chemotherapy and radiotherapy was presented

A novel algorithm for dynamic student profile adaptation based on learning styles

The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.E-learning recommendation systems are used to enhance student performance and knowledge by providing tailor- made services based on the students’ preferences and learning styles, which are typically stored in student profiles. For such systems to remain effective, the profiles need to be able to adapt and reflect the students’ changing behaviour. In this paper, we introduce new algorithms that are designed to track student learning behaviour patterns, capture their learning styles, and maintain dynamic student profiles within a recommendation system (RS). This paper also proposes a new method to extract features that characterise student behaviour to identify students’ learning styles with respect to the Felder-Silverman learning style model (FSLSM). In order to test the efficiency of the proposed algorithm, we present a series of experiments that use a dataset of real students to demonstrate how our proposed algorithm can effectively model a dynamic student profile and adapt to different student learning behaviour. The results revealed that the students could effectively increase their learning efficiency and quality for the courses when the learning styles are identified, and proper recommendations are made by using our method