Abstract Information Professionals around the world like other professionals experience stress caused by different factors highlighted in the study. The study examined the relationship between job stress and job satisfaction among a population of 87 Information Professionals. Descriptive survey research method was used. Job stress levels were assessed using the Job Stress Scale (JSS) adapted from Stress Indicators Scale (2007) and... Information Professionals around the world like other professionals experience stress caused by different factors highlighted in the study. The study examined the relationship between job stress and job satisfaction among a population of 87 Information Professionals. Descriptive survey research method was used. Job stress levels were assessed using the Job Stress Scale (JSS) adapted from Stress Indicators Scale (2007) and job satisfaction levels were measured using the Job Satisfaction Questionnaire of [17] and graded by Likert scale with degree of agreement range between low to high (1-5). This research was designed for the Information Professionals employed in the libraries in South West Nigeria. Data were collected through the questionnaire designed and were subjected to statistical analysis using simple percentage, mean, standard deviation, t-test statistics and Scheffe post-hoc analysis. The study revealed that the mean scores for satisfaction were low for workplace characteristics. Female Information Professionals had significantly lower job satisfaction (mean job satisfaction score difference = 12.2; 50.5%, p > 0.05), as compared to their male counterparts (mean job satisfaction score difference 21.0: 49.5%, p < 0.05); and a positive correlation was found between job satisfaction and Information Professionals’ job stress (r = 0.69, a < 0.05). The findings also revealed that majority of the Information Professionals had low job satisfaction level and higher levels of job stress. These results have implications for addressing job stress and job satisfaction in academic libraries. Read More Read Less

Abstract This paper describes a method for information filtering in web browsing to learn user’s preferences. The purposed method observes user’s reactions to the filtered documents and learns from them the profiles for the individual users. Reinforcement learning is used to adapt the most significant terms that best represent user’s interests. In contrast to conventional relevance feedback methods which require explicit... This paper describes a method for information filtering in web browsing to learn user’s preferences. The purposed method observes user’s reactions to the filtered documents and learns from them the profiles for the individual users. Reinforcement learning is used to adapt the most significant terms that best represent user’s interests. In contrast to conventional relevance feedback methods which require explicit user feedbacks, our approach learns user preference implicitly from direct observations of browsing behavior during interaction. We made field tests that involved number of users and number of document during period of time, to show if our methods have the superior performance in personalized information filtering. Read More Read Less

Abstract Computer Science Education (CSE) is often considered to be a difficult degree to attain with many misconceptions about academic pre-requisites. These perceived pre-requisites are having a negative impact on those studying these courses by alienating the students because of stereotypes and as a result are resulting in a gender imbalance within Computer Science. This paper investigates six hypotheses through quantitative... Computer Science Education (CSE) is often considered to be a difficult degree to attain with many misconceptions about academic pre-requisites. These perceived pre-requisites are having a negative impact on those studying these courses by alienating the students because of stereotypes and as a result are resulting in a gender imbalance within Computer Science. This paper investigates six hypotheses through quantitative research methods based on literature that indicates issues surrounding male-centric environments within CSE, Mathematical achievements, stereotypes and self-esteem issues. It concludes with findings and suggestions for additional research and relevant suggestions for future quantitative or mixed methods research approaches in this area. Read More Read Less

Abstract Information Professionals around the world like other professionals experience stress caused by different factors highlighted in the study. The study examined the relationship between job stress and job satisfaction among a population of 87 Information Professionals. Descriptive survey research method was used. Job stress levels were assessed using the Job Stress Scale (JSS) adapted from Stress Indicators Scale (2007) and job satisfaction levels... Information Professionals around the world like other professionals experience stress caused by different factors highlighted in the study. The study examined the relationship between job stress and job satisfaction among a population of 87 Information Professionals. Descriptive survey research method was used. Job stress levels were assessed using the Job Stress Scale (JSS) adapted from Stress Indicators Scale (2007) and job satisfaction levels were measured using the Job Satisfaction Questionnaire of [17] and graded by Likert scale with degree of agreement range between low to high (1-5). This research was designed for the Information Professionals employed in the libraries in South West Nigeria. Data were collected through the questionnaire designed and were subjected to statistical analysis using simple percentage, mean, standard deviation, t-test statistics and Scheffe post-hoc analysis. The study revealed that the mean scores for satisfaction were low for workplace characteristics. Female Information Professionals had significantly lower job satisfaction (mean job satisfaction score difference = 12.2; 50.5%, p > 0.05), as compared to their male counterparts (mean job satisfaction score difference 21.0: 49.5%, p < 0.05); and a positive correlation was found between job satisfaction and Information Professionals’ job stress (r = 0.69, a < 0.05). The findings also revealed that majority of the Information Professionals had low job satisfaction level and higher levels of job stress. These results have implications for addressing job stress and job satisfaction in academic libraries. Read More Read Less

Abstract This paper describes a method for information filtering in web browsing to learn user’s preferences. The purposed method observes user’s reactions to the filtered documents and learns from them the profiles for the individual users. Reinforcement learning is used to adapt the most significant terms that best represent user’s interests. In contrast to conventional relevance feedback methods which require explicit user feedbacks, our... This paper describes a method for information filtering in web browsing to learn user’s preferences. The purposed method observes user’s reactions to the filtered documents and learns from them the profiles for the individual users. Reinforcement learning is used to adapt the most significant terms that best represent user’s interests. In contrast to conventional relevance feedback methods which require explicit user feedbacks, our approach learns user preference implicitly from direct observations of browsing behavior during interaction. We made field tests that involved number of users and number of document during period of time, to show if our methods have the superior performance in personalized information filtering. Read More Read Less

Abstract Computer Science Education (CSE) is often considered to be a difficult degree to attain with many misconceptions about academic pre-requisites. These perceived pre-requisites are having a negative impact on those studying these courses by alienating the students because of stereotypes and as a result are resulting in a gender imbalance within Computer Science. This paper investigates six hypotheses through quantitative research methods based... Computer Science Education (CSE) is often considered to be a difficult degree to attain with many misconceptions about academic pre-requisites. These perceived pre-requisites are having a negative impact on those studying these courses by alienating the students because of stereotypes and as a result are resulting in a gender imbalance within Computer Science. This paper investigates six hypotheses through quantitative research methods based on literature that indicates issues surrounding male-centric environments within CSE, Mathematical achievements, stereotypes and self-esteem issues. It concludes with findings and suggestions for additional research and relevant suggestions for future quantitative or mixed methods research approaches in this area. Read More Read Less