Content models with attitude

We present a probabilistic topic model for jointly identifying properties and attributes of social media review snippets. Our model simultaneously learns a set of properties of a product and captures aggregate user sentiments towards these properties. This approach directly enables discovery of highly rated or inconsistent properties of a product. Our model admits an efficient variational mean-field inference algorithm which can be parallelized and run on large snippet collections. We evaluate our model on a large corpus of snippets from Yelp reviews to assess property and attribute prediction. We demonstrate that it outperforms applicable baselines by a considerable margin.National Science Foundation (U.S.) (CAREER grant IIS-0448168)National Institutes of Health (U.S.) (NIH grant 5- R01-LM009723-02)Nokia CorporationUnited States. Defense Advanced Research Projects Agency (DARPA Machine Reading Program (AFRL prime contract no. FA8750-09-C-0172)

Five Seconds to the Ad: How Program-Induced Mood Affects Ad Countdown Effects

The study examines what effects a five second countdown warning will have on consumer’s attitudes towards the advertisement depending on the main program content. This study builds upon several theoretical models concerning program-induced moods in relation to viewer’s judgment to commercial advertisements. Findings from two studies suggest that program-induced mood systematically influences attitude toward the inserted ad with (vs. without) a five-second countdown: for the negative-affect program, attitude toward the ad was more positive when the ad was preceded by the countdown than when the ad was not preceded by the countdown. However, for the positive-affect program, attitude toward the ad was more negative when the ad was preceded by the countdown than when the ad was not preceded by the countdown. A similar interaction was found with purchase intent

An Open Future for Higher Education

As the world becomes more open, universities have the opportunity to embrace openness in how they carry out their operations, teaching, and research. Open educational resources can provide the catalyst for different forms of learning, linking formal and informal aspects and splitting up the functions of content, support, assessment, and accreditation. Models from research suggest that an open approach is likely to encourage the crossing of boundaries between inside and outside the classroom, games and tools for learning, and the amateur and the expert. A new attitude toward research and scholarship is needed to work with the data of openness and to use it as an approach to gather evidence, share thoughts, and disseminate results

Pedagogical Content Knowledge, Continuing Professional Development and Teachers’ Attitude Toward Science: A Structural Equation Model on Science Curriculum Implementation

The study's main objective was to determine the best-fit model for science curriculum implementation of public secondary science teachers in Region XII based on pedagogical content knowledge, continuing professional development, and teachers' attitudes toward science. This study used a stratified sampling technique to choose 400 respondents, a quantitative non-experimental causal research design, and mean, Pearson r, multiple regression, and structural equation model (SEM) as statistical tools. Survey questionnaires were deployed to the respondents using the online Google Form. Results revealed that the level of pedagogical content knowledge was very high, the level of continuing professional development was high, the level of attitude toward science was high, and the level of science curriculum implementation was very high. Moreover, pedagogical content knowledge, continuing professional development, and attitude toward science exhibited a significant relationship with science curriculum implementation. Furthermore, pedagogical content knowledge was the domain that best influences science curriculum implementation. Finally, among the five generated models, Model 5 best-fitted science curriculum implementation with pedagogical content knowledge in terms of subject matter knowledge, instructional objective and context, and knowledge of students' understanding, continuing professional development in terms of updating, reflective, and collaborative activities, and attitude toward science in terms of perceived dependency on context factors, self-efficacy, the difficulty of science teaching, and perceived relevance. Keywords: educational management, pedagogical content knowledge, continuing professional development, attitude toward science, science curriculum implementation, structural equation model, Philippines DOI: 10.7176/JEP/14-15-07 Publication date:May 31st 2023

Technological Persuasive Pedagogy: A New Way to Persuade Students in the Computer-based Mathematics Learning

This study is an attempt to introduce a new technological pedagogy which is more effective in students attitudes toward mathematics. Content Analysis method as a qualitative research method was used in this research. Based on research method 16 principles were obtained prior persuasive models, theories and approaches. They are as usable principles to persuade students in the computer based mathematics classrooms. These principles can be employed by teachers and course ware designer in three different conditions; first, for students with negative attitude toward mathematics. Second, increase the positive attitude of the students to a higher level. Last but not least, for create a condition to prevent of changes in students' attitude from positive level to lower level. Keywords: Persuasion, Pedagogy, Persuasive Technology, Attitude, Computer-based Learnin

Model Pengentasan Sikap Prokrastinasi Akademik (Studi Pengembangan Berbasis Cognitive Behavior Therapy)

This study aims to determine (1) description of the demand level of reduction model of academic procrastination attitude on high school students in Makassar. (2) Description of a hypothetical model of academic procrastination attitude alleviation based on cognitive behavior therapy. (3) Description of the academic procrastination attitude alleviation model, based on cognitive behavior therapy which had developed. This study used the approach and development of research as well as qualitative and quantitative methods. The study population was high school in the city of Makassar with a sample of 12 schools. The results showed: (1) the demands\u27 level of academic procrastination attitude reduction model of high school students in Makassar at the high category; (2) the hypothetical model is the beginning of the preparation of academic procrastination attitude alleviation models. The model was developed based on the need assessment. The model consists of several components such as rational, objectives, scope, target population, the basic assumptions, the working principle, system support services, the role of counselor, procedure implementation, evaluation model, and the model guidelines; (3) the developed models are models that have gone through the stage of model validation both by BK experts and practitioners in schools so that the model has been tested in content and descriptively. Therefore, the developed model generated in this study is a model that is ready to be used in schools to help students in eliminating academic procrastination habit

Effect of Quality Service Indicators on the Attitude of Farmers towards Demand-driven Extension Services in Niger State, Nigeria

This study examined the effect of quality service indicators on the attitude of farmers towards demand-driven extension services in Niger State, Nigeria. Primary data for the study were collected through a cross-sectional survey using interview schedule. Data collected were analyzed using descriptive statistics and multiple regression models. Result of the study shows that almost 86.0% of the respondents acquired formal education. With respect to the respondents’ attitude towards demand-driven extension services, 98.9% showed favourable attitude while 1.1% were neutral. Findings further revealed that quality service indicators of content accuracy, relevance, timeliness and effectiveness of extension services had significant positive effect on farmer’s attitude towards demand-driven extension services (P<0.05), while efficiency of extension services had significant negative effect on farmers’ attitude towards demand-driven extension services. It was therefore recommended that the extension service providers should always strive to provide high quality services to ensure and sustain farmers’ favourable attitude towards demand-driven extension services. It was also suggested that government policy should be created to favour demand-driven extension service providers to function where they have the comparative advantage in providing farmers with relevant extension services. Keywords: farmers, demand driven extension, attitude, qualit

THE JOURNEY OF A SCIENCE TEACHER: PREPARING FEMALE STUDENTS IN THE TRAINING FUTURE SCIENTISTS AFTER SCHOOL PROGRAM

Abstract What affect does female participation in the Training Future Scientist (TFS) program based on Vygotsky’s sociocultural theory and Maslow’s Hierarchies of Needs have on female adolescents’ achievement levels in science and their attitude toward science and interest in science-based careers? The theoretical framework for this study was developed through a constructivist perspective, using dialogic engagement, coinciding with Lev Vygotsky’s sociocultural learning theory. This action research project used mixed methods research design, targeted urban adolescent females who were members of Boys & Girls Club of Greater St. Louis (BGCGSTL) after-school program. The data collection measures were three qualitative instruments (semi-structured interviews, reflective journal entries and attitudinal survey open-ended responses) and two quantitative instruments (pre-test and posttests over the content from the Buckle-down Curriculum and attitudinal survey scaled responses). The goal was to describe the impact the Training Future Scientist (TFS) after-school program has on the girls’ scientific content knowledge, attitude toward choosing a science career, and self-perception in science. Through the TFS after-school program participants had access to a secondary science teacher-researcher, peer leaders that were in the 9th - 12th grade, and Science, Technology, Engineering and Math (STEM) role models from Washington University Medical School Young Scientist Program (YSP) graduate and medical students and fellows as volunteers. The program utilized the Buckle-down Curriculum as guided, peer-led cooperative learning groups, hands-on labs and demonstrations facilitated by the researcher, trained peer leaders and/or role models that used constructivist science pedagogy to improve test-taking strategies. The outcomes for the TFS study were an increase in science content knowledge, a positive trend in attitude change, and a negative trend in choosing a science career

Quantifying echo chamber effects in information spreading over political communication networks

Echo chambers in online social networks, in which users prefer to interact only with ideologically-aligned peers, are believed to facilitate misinformation spreading and contribute to radicalize political discourse. In this paper, we gauge the effects of echo chambers in information spreading phenomena over political communication networks. Mining 12 million Twitter messages, we reconstruct a network in which users interchange opinions related to the impeachment of the former Brazilian President Dilma Rousseff. We define a continuous {political position} parameter, independent of the network's structure, that allows to quantify the presence of echo chambers in the strongly connected component of the network, reflected in two well-separated communities of similar sizes with opposite views of the impeachment process. By means of simple spreading models, we show that the capability of users in propagating the content they produce, measured by the associated spreadability, strongly depends on their attitude. Users expressing pro-impeachment sentiments are capable to transmit information, on average, to a larger audience than users expressing anti-impeachment sentiments. Furthermore, the users' spreadability is correlated to the diversity, in terms of political position, of the audience reached. Our method can be exploited to identify the presence of echo chambers and their effects across different contexts and shed light upon the mechanisms allowing to break echo chambers.Comment: 9 pages, 4 figures. Supplementary Information available as ancillary fil