Dyspozycje aksjologiczne nauczyciela – perspektywa ucznia

The articles justifies the need for constant care for the axiological dimension of education. The habitus of the modern teacher was analyzed in the perspective of axiological dispositions. The author’s reconstructions of the respondents’ views concerning their preferences regarding observable and repetitive teachers’ behavior were categorized. These behaviors were indicators of the values which guided teachers in their work with students. An attempt was made to determine which axiological properties of teachers, expressed in the praxiological dimension, are particularly valued by today’s youth. Analysis of the frequency of indications of the preferred teachers’ behaviors helped to establish the hierarchy of these properties. The results of the diagnosis carried out on a sample of 903 respondents showed that teachers’ pedagogical tactfulness, subject knowledge and good organization of work are mostly appreciated and expected by young people. In addition, attempts were made to identify differences in the respondents’ preferences due to their interest profile, expressed in the choice of a specific field of academic studies. It has been established that it is the factor which differentiates students’ preferences in relation to the teacher’s axiological attributes. Significant relationships have been observed and the conclusions made valuable implications for pedeutology.

What Influences Attitudes and Confidence in Teaching Physics and Technology Topics? An Investigation in Kindergarten and Primary-School Trainee Teachers

This study investigated the correlations of general knowledge, vocational interests, and personality with trainee teachers’ attitudes and perceived capabilities in teaching physics and technology topics in kindergarten and primary school. A quantitative survey was composed using the Nature–Human–Society questionnaire, the general knowledge test BOWIT, the general interest structure test AIST-R, and the 10-item Big Five Inventory. The sample consisted of 196 female trainee teachers for kindergarten and primary school, and the results showed that only a few trainee teachers favoured teaching physics and technology topics. The bivariate analyses indicated that investigative and realistic interests were highly correlated with their confidence in teaching physics and technology topics, followed by significant relationships with possessing general knowledge in science and technology. The relationships with personality, especially neuroticism and extraversion, were also evident, but they were not as strong. The results were further differentiated in various subgroups (i.e., a group who favoured teaching physics and technology topics versus a group who did not, as well as a group with the typical interest profile of kindergarten and primary-school teachers versus a group with a social and investigative interest profile), which provided additional insights.

Introducing the Concept of Consonance-Disconsonance of Best Practice: A Focus on the Development of ‘Student Profiling’

The present study, using a non-experimental approach, investigated a theoretical concept of best practice, which we recently introduced – namely: a ‘state of consonance’ and a ‘state of disconsonance’ of best practice. Consonance of best practice posits that different levels of best practice (e.g., low level of best practice versus optimal level of best practice), as well as other comparable psychological constructs (e.g., motivation towards learning) would cluster or ‘group’ together. Disconsonance of best practice, in contrast, would indicate non-overlapping of contrasting levels of best practice (i.e., low level of best practice versus optimal level of best practice). Taiwanese undergraduates (N = 831) from five private universities in Taipei City and New Taipei City, Taiwan took part in the study by responding to a suite of Likert-scale questionnaires (e.g., Best Practice Questionnaires, Motivation towards Learning Questionnaire), which took approximately 30–35 min to complete. Cluster analysis, commonly known as ClA, was used to analyze the data and seek theoretical understanding into the nature of the consonance of best practice. Results, overall, showed support for our proposition, resulting in four distinct profiles: ‘a Balanced Profile,’ ‘an Intrinsic Motivation Profile,’ ‘a Current Best Practice + Interest Profile,’ and ‘a Current Best Practice + Motivation Profile.’ This evidence, helping to advance further research development, has a number of practical implications for consideration. For example, how could we use the Balanced Profile to develop learning objectives and/or pedagogical practices that would encourage students to enjoy their learning experiences?

BLE-Based Indoor Tracking System with Overlapping-Resistant IoT Solution for Tourism Applications

In this paper, an overlapping-resistant Internet of Things (IoT) solution for a Bluetooth Low Energy (BLE)-based indoor tracking system (BLE-ITS) is presented. The BLE-ITS is a promising, inexpensive alternative to the well-known GPS. It can be used in human traffic analysis, such as indoor tourist facilities. Tourists or other customers are tagged by a unique MAC address assigned to a simple and energy-saving BLE beacon emitter. Their location is determined by a distributed and scalable network of popular Raspberry Pi microcomputers equipped with BLE and WiFi/Ethernet modules. Only simple triggered messages in the form of login records (LRs) are sent to a server, where the so-called path vectors (PVs) and interest profile (IPr) are set. The authors implemented the prototype and demonstrated its usefulness in a controlled environment. As it is shown in the paper, the solution is highly overlap-resistant and mitigates the so-called multilocation problem.

Interest, Burnout, and Drop-Out Intentions Among Finnish and Danish Humanities and Social Sciences PhD. Students

Aim/Purpose: This study focused on advancing understanding of individual variations in doctoral students’ interest in their doctoral studies and how they related to experiences of burnout and drop-out intentions in Denmark and Finland. Background: Ph.D. students’ experiences of interest, burnout, and dropout intentions among Finnish and Danish Ph.D. students have not been researched before. Research with a person-centred approach exploring individual variations in students undertaking doctoral studies in two comparable but distinct socio-cultural contexts is limited. Methodology: This study uses exploratory factor analysis, K-means cluster analyses in combination with Pairwise comparisons, ANOVA, and Chi-square test. A total of 365 doctoral students in social sciences and humanities disciplines in Finland and Denmark responded to a Cross-Cultural Doctoral Experience Survey. Contribution: This study contributes understanding on individual variation in doctoral students’ interest across two socio-cultural contexts by identifying four personal interest profiles. The profiles were invariant across the contexts. The study also shed further light on the interrelation between the interest in research and the risk for suffering from burnout and entertaining dropout intentions. Findings: The interest profiles identified among the Ph.D. students were the High interest profile, the Moderate interest profile, the Developmental, research and impact interest profile, and the Development and impact interest profile. All interest profiles exhibited high levels of the developmental interest, however they varied especially in the weight given to instrumental and research interests. Ph.D. students in the Moderate interest profile showed signs of burnout, and they were prone to consider dropping out. Also, individuals in the Development and impact interest profile considered more frequently dropping out of their studies. Recommendations for Practitioners: Investing in the identification and support of interest among Ph.D. students is worthwhile, as interest is not a permanent characteristic of the individual, and the combination of research, development, and impact interest indicates a lower risk for burnout and drop-out intentions. Recommendation for Researchers: It is possible that interest profiles are the same across the two national contexts investigated in this study, but their underpinnings and premises are different. It is likely that a qualitative approach would shed more light on these foci. Impact on Society: The results imply that personal interest was not determined by the socio-cultural differences between the countries, indicating that cultivating doctoral students’ personal interest, particularly a combination of research, development, and impact, provides a potential buffer for doctoral students’ burnout and drop-out, which has been raised as global concerns among policy makers, researchers, and doctoral education developers and administrators during the past decade. The study has impact on doctoral studies in international communities. Future Research: The results in this study reflect specific characteristics of social sciences and their applied nature. It remains for future research to investigate the extent to which the identified four profiles of interest in relation to burnout and drop-out intentions emerge in the natural sciences.

Multicriterial Evaluation of Renewable Energy Expansion Projects at Municipal Level for the Available Biomass Potential

To reduce emissions in the energy sector and reach worldwide climate goals, further expansion of renewable energy sources (RES) is inevitable. Local opposition has increased in recent years, resulting in the need for more consideration of acceptance issues in the planning process of RES projects. To fill this gap, a method is introduced to consider the dimension of social acceptance in a holistic approach and at an early project stage. In a two-step procedure, a municipal interest profile is created, followed by an examination of possible expansion projects based on the municipal profile. Both hard and soft characteristics of a given project are assessed in combination. Using the example of two potential scenarios for biomass expansion in a given municipality in Germany, the methodology is put to the test. The results show that with the new method House of municipal Energy (HomE), the interest profile of a municipality can be quantified in a comprehensible and transparent way. It is further shown that, depending on the initial objective function of the municipality, different expansion scenarios can be advantageous. In the examined case, the larger biogas plant achieves a higher utility value, since a clearly higher local added value can be generated. A smaller plant, which is only operated with waste materials, is preferable with regard to the required area and lower environmental impact. However, the advantages of the larger plant outweigh those of the smaller plant for the investigated example.

An Empirical Recommendation Framework to Support Location-Based Services

The rapid growth of Global Positioning System (GPS) and availability of real-time Geo-located data allow the mobile devices to provide information which leads towards the Location Based Services (LBS). The need for providing suggestions to personals about the activities of their interests, the LBS contributing more effectively to this purpose. Recommendation system (RS) is one of the most effective and efficient features that has been initiated by the LBS. Our proposed system is intended to design a recommendation system that will provide suggestions to the user and also find a suitable place for a group of users and it is according to their preferred type of places. In our work, we propose the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm for clustering the check-in spots of the user’s and user-based Collaborative Filtering (CF) to find similar users as we are considering constructing an interest profile for each user. We also introduced a grid-based structure to present the Point of Interest (POI) into a map. Finally, similarity calculation is done to make the recommendations. We evaluated our system on real world users and acquired the F-measure score on average 0.962 and 0.964 for a single user and for a group of user respectively. We also observed that our system provides effective recommendations for a single user as well as for a group of users.