Emotion‐regulation ability,burnout, and job satisfaction among British secondary‐school teachers

The topic of emotion regulation and its relationship with teacher effectiveness is beginning to garner attention by researchers. This study examined the relationship between emotion‐regulation ability (ERA), as assessed by the Mayer–Salovey–Caruso Emotional Intelligence Test (MSCEIT), and both job satisfaction and burnout among secondary‐school teachers (N = 123). It also examined the mediating effects of affect and principal support on these outcomes. ERA was associated positively with positive affect, principal support, job satisfaction, and one component of burnout, personal accomplishment. Two path models demonstrated that both positive affect and principal support mediated independently the associations between ERA and both personal accomplishment and job satisfaction. © 2010 Wiley Periodicals, Inc.     

Perceived value of scholarly articles

When faced with an abundance of articles, readers must weigh the relative importance of various characteristics to select which articles to read. Over 400 researchers in 12 countries responded to a questionnaire that asked them to rank seven article characteristics and rate 16 article profiles. After article topic, the next most highly ranked characteristics were online accessibility and source of article. Conjoint analysis revealed the highest rated profiles to be (i) article written by a top‐tier author, in a top peer‐reviewed journal, available online at no personal cost to the reader; and (ii) article written by a top‐tier author, in a peer‐reviewed journal not in the top tier, available online at no personal cost to the reader. There were significant differences in characteristic rankings by discipline and geographic location.     

The Responses of Kuwaiti Special Educators to American Approaches to the Care and Treatment Provided Individuals with Mental Retardation in the United States Today

Twenty‐five special educators from Kuwait who had participated in a six‐week special education enrichment program in the United States were surveyed regarding their impressions and reactions. A presentation of the program in which they participated is combined with an elaboration of their socio‐cultural background to form the framework upon which their impressions and reactions are discussed. Lessons learned regarding international training efforts are also included.     

What Is the Impact of Computer Literacy on the Academic Performance of D-learning Students？

Due to the globalization and the spread of the Internet, distance learning （D-learning） has gained extraordinary impulse in recent years by classes broadcasted by Websites and assignments fulfilled by students in their own computers. D-learning facilitates the access to education to those people who are working or have low buying power due to its reduced cost and time convenience. Although D-learning has existed in the world for over 150 years, only in the last decades, it has become the focus of academic studies and researches in a systematic way. In this context, the objective of this research is to evaluate the impact of computer literacy on the academic performance of the D-learning students of Faculdade lnterativa COC--EAD （COC--D-learning Interactive College）, P61o Lafaiete （Lafaiete Branch）, Ribeirao Preto. The research consisted of a questionnaire with 21 qualitative dichotomous questions, concerning the level of knowledge and mastery of information techdologies, besides the gender and academic performance （weighted average and marks of the last module）. The data were tabulated, being considered two main variables： （a） academic performance, represented by the marks of the last module; and （b） computer literacy, represented by the sum of the questions concerning this matter. The data were analyzed statistically, and the correlation between the two variables considered was analyzed by Pearson＇s Correlation Test. The interviews of the 54 interviewees （24 males （44.45%） and 30 females （55.55%）） taking the business administration course were analyzed. The correlation coefficient r = 0.303 indicates that there is a meaningful correlation between the students＇ academic performance （marks） and their computer literacy, that is, the greater the computer literacy, the better the marks obtained by these students in the D-learning course. D-learning has computing as its main tool, theretbre, the students with less computer literacy find barriers in D-learning, which o ref     

Travel Report: Kyiv and L'viv,Ukraine, April 21–29, 2012

This article reports on a trip taken by the author, a Library of Congress reference librarian responsible for Ukraine, to Kyiv and L'viv, Ukraine, April 21–29, 2012. The trip was sponsored by the American Council for International Education and the US Department of State.     

Using Educative Assessments to Support Science Teaching for Middle School English-language Learners

Grounded in Hallidayan perspectives on academic language, we report on our development of an educative science assessment as one component of the language-rich inquiry science for English-language learners teacher professional learning project for middle school science teachers. The project emphasizes the role of content-area writing to support teachers in diagnosing their students’ emergent understandings of science inquiry practices, science content knowledge, and the academic language of science, with a particular focus on the needs of English-language learners. In our current school policy context, writing for meaningful purposes has received decreased attention as teachers struggle to cover large numbers of discrete content standards. Additionally, high-stakes assessments presented in multiple-choice format have become the definitive measure of student science learning, further de-emphasizing the value of academic writing for developing and expressing understanding. To counter these trends, we examine the implementation of educative assessment materials—writing-rich assessments designed to support teachers’ instructional decision making. We report on the qualities of our educative assessment that supported teachers in diagnosing their students’ emergent understandings, and how teacher–researcher collaborative scoring sessions and interpretation of assessment results led to changes in teachers’ instructional decision making to better support students in expressing their scientific understandings. We conclude with implications of this work for theory, research, and practice.     

Student evaluations of teaching: perceptions of faculty based on gender,position, and rank

The current study explores the feelings and thoughts that faculty have about their student evaluations of teaching (SET). To assess the perceptions of SETs, all teaching faculty in one college at a western Land Grant University were asked to complete an anonymous online survey. The survey included demographic questions (i.e. gender; rank such as assistant, associate, and full professor; and positions like non-tenure track, tenure track, and tenured) as well as questions related to faculty's feelings while reading their SETs. While minimal differences were found in responses based on rank or position, several differences were found based on faculty gender. Overall, female faculty appear to be more negatively impacted by student evaluations than male faculty. These gender differences support previous research that suggests males and females receive and react differently to personal evaluation. Resultant suggestions include modifying surveys from anonymous to confidential and offering professional development training for faculty.     

How and where is artificial intelligence in the public sector going? A literature review and research agenda

To obtain benefits in the provision of public services, managers of public organizations have considerably increased the adoption of artificial intelligence (AI) systems. However, research on AI is still scarce, and the advance of this technology in the public sector, as well as the applications and results of this strategy, need to be systematized. With this goal in mind, this paper examines research related to AI as applied to the public sector. A review of the literature covering articles available in five research databases was completed using the PRISMA protocol for literature reviews. The search process yielded 59 articles within the scope of the study out of a total of 1682 studies. Results show a growing trend of interest in AI in the public sector, with India and the US as the most active countries. General public service, economic affairs, and environmental protection are the functions of government with the most studies related to AI. The Artificial Neural Networks (ANN) technique is the most recurrent in the investigated studies and was pointed out as a technique that provides positive results in several areas of its application. A research framework for AI solutions for the public sector is presented, where it is demonstrated that policies and ethical implications of the use of AI permeate all layers of application of this technology and the solutions can generate value for functions of government. However, for this, a prior debate with society about the use of AI in the public sector is recommended.