Perceptions of Gender Stereotypes About Computer Game-Based Learning Among Pre-Service Teachers

The purpose of the present study is to develop a scale for measuring pre-service teacher perceptions of gender stereotypes about computer game-based learning, and conduct a preliminary study to explore the reliability and validity of the scale. Data was collected via survey from 119 pre-service teachers enrolled in a mathematics methods class at a mid-western university. Results of data analysis provided strong support for the reliability of the scale and partial support for its validity. Consistent with our hypotheses, perceptions of gender stereotypes were negatively related to computer gaming experience, gamer identity, and intention to use computer game-based learning in future teaching practice. At the same time, perceptions of gender stereotypes were positively related to perceived barriers to computer game-based learning. Factor analysis suggested a four-factor structure pertaining to four aspects of gender stereotypes with favorable perceptions towards male gamers: intrinsic motivation, competency, confidence, and game compatibility.

Volunteer Love Education Learning and Self-Management Model

The “FU Chuan Charity Foundation” uses the statutory curriculum of the Department of Social Sciences to implement education on volunteer love and self-management for volunteer students. The statutory courses of the Department of Social Sciences belong to the “Interdisciplinary Curriculum Integration Model”, the “FU Chuan Charity Foundation” opened the “FU Chuan Charity Bachelor Class”, which has been operated by volunteers for 8 years, invisibly in the original “education and learning philosophy”. The outlines of 7 groups of education and learning models gradually emerged, so they were named “Education and Learning Models for the Bachelor of Evangelical Compassion”: including (1) the integration model of old and new students, (2) the cross-age and multi-group co-learning model, (3) Sharing mode in different places and different industries, (4) Social welfare resource co-study mode, (5) Potential mode of voluntary service, (6) Intervention response effect mode, (7) No-handling property mode. The operation of this model has changed from “Originally run a school for the Foundation” to “Run a school for the Friends Association”, and at least assist students in 5 changes: (1) Attitude to study, from “wait and see trial” to “specialized reading” “, then change to “Determined to Grad.” (2) The learning factor changes from “convenient time” to “professional needs”, then to “equal attention to time and professionalism”, and then to “desire to graduate”. (3) The average number of courses taken has changed from “inconsistent courses” to “concentrated courses” and then to “intensive courses”. (4) Student volunteer habits have changed from “adjustment to ups and downs” to “balanced and stable”. (5) The willingness of students to volunteer has changed from “rare concepts” to “stable learning” and then to “dare to face the test of the epidemic” [1].

Supporting teacher professional learning in Oman: The effects of principal leadership, teacher trust, and teacher agency

Lagging student performance in the Sultanate of Oman has, in recent years, led the Ministry of Education to target teachers’ professional learning as a key strategic pillar in its efforts to reform the education system. While international evidence finds principal leadership can make a meaningful difference in teacher engagement in professional learning, this has yet to be studied in Arab societies. The current study collected data from 887 teachers in 78 Omani middle schools with the aim of understanding if and how their principals’ learning-centered leadership influences teacher agency, teacher trust and teacher professional learning. Factor analysis, structural equation modelling, and bootstrapping were used to explore both partial and full mediation models of these relationships. Results validated a partial mediation model in which learning-centered leadership had moderate direct and indirect effects on teacher professional learning. The validated model also highlights the important role that principals can play in creating a climate of trust where teachers believe that investing their time and effort in professional learning will be beneficial for themselves and their schools. The results from Oman are compared with findings from other Asian societies and implications discussed.

Analisis Peran Teman Sebaya dalam Pengambilan Keputusan Karier

Penelitian ini bertujuan untuk: 1) mendeskripsikan peran yang ditunjukkan oleh kelompok teman sebaya dalam mempengaruhi keputusan karier; 2) mengidentifikasi faktor-faktor penyebab yang mempengaruhi pengambilan keputusan karier. Penelitian ini menggunakan pendekatan kualitatif dengan tujuan untuk mengetahui secara mendalam terkait peran teman sebaya dalam pengambilan keputusan karier siswa. Dalam mengumpulkan data, peneliti melakukan wawancara terstruktur kepada keenam orang siswa kelas XII. Wawancara yang dilakukan dengan pedoman wawancara peran teman sebaya dan faktor pengambilan keputusan karier yang telah diuji melalui uji validitas konstruksi (judgement experts). Kemudian, data hasil penelitian dianalisis menggunakan model Miles and Huberman yang terdiri dari data reduction, data display, dan conclusion drawing/verification. Hasil penelitian menunjukkan: 1) peran kelompok teman sebaya terlihat pada aspek dukungan sosial, moral dan emosional; kebebasan berpendapat, bertindak atau menemukan identitas diri. Sedangkan aspek sebagai agen sosialisasi dan mengembangkan keterampilan tidak terlalu ditemukan pada teman sebaya. 2) Faktor kondisi lingkungan sangat berpengaruh dalam pengambilan keputusan karier. Sedangkan untuk faktor belajar tidak terlalu berpengaruh dalam pengambilan keputusan karier. Berdasarkan hasil penelitian, hendaknya teman sebaya bisa memilih teman yang dapat dijadikan sebagai role model dan Guru BK dapat memfasilitasi pembentukan kelompok teman sebaya yang membahas terkait permasalahan karier agar siswa bisa secara mandiri mengambil keputusan karier.<br /><br /><br /><strong>Abstract:</strong> This study aims to: 1) describe the role shown by peer groups in influencing career decisions; 2) identify the causal factors that influence career decision making. This study uses a qualitative approach to know in-depth the role of peers in students' career decision-making. In collecting data, the researcher conducted structured interviews with the six students of class XII. Interviews were conducted using peer role interview guidelines and career decision-making factors that have been tested through construction validity tests (expert judgment). Then, the research data were analyzed using themodel Miles and Huberman consisting of data reduction, data display, and conclusion drawing/verification. The results showed: 1) the role of peer groups was seen in aspects of social, moral and emotional support; freedom of opinion, action or self-identity. While the aspects as agents of socialization and developing skills are not found in peers. 2) Environmental conditions are very influential in making career decisions. Meanwhile, the learning factor is not very influential in making career decisions. Based on the results of the study, peers should be able to choose friends who can be used as role models and guidance and counseling teachers can facilitate the formation of peer groups that discuss career issues so that students can independently make career decisions.

Composite Fault Diagnosis of Rolling Bearing Based on Optimized Wavelet Packet AR Spectrum Energy Entropy Combined with Adaptive No Velocity Term PSO-SOM-BPNN

Aiming at the problem of low diagnosis efficiency and accuracy, due to noise and cross aliasing among various faults when diagnosing composite faults of rolling bearing under actual working conditions, a composite fault diagnosis method of rolling bearing based on optimized wavelet packet autoregressive (AR) spectral energy entropy and adaptive no velocity term particle swarm optimization-self organizing map-back propagation neural network (ANVTPSO-SOM-BPNN) is proposed. The energy entropy feature is extracted from the bearing vibration signal through wavelet packet AR spectrum, and SOM and BPNN are combined to form a series network. For PSO, the velocity term is discarded and the inertia weight and learning factor are adaptively adjusted. Finally, the Dempster-Shafer (D-S) evidence fusion diagnosis is carried out. To get closer to the application condition, the data are collected near and far away from the fault point for the composite fault diagnosis, which verifies the effectiveness of the proposed method.

Optimization of CSO algorithm based on adaptive inertia weight coefficient

The traditional CSO algorithm is easy to fall into local extremum in optimization. In this paper, a CSO algorithm based on weight coefficient is proposed. In the CSO algorithm, the inertia weight coefficient is introduced into the hen position formula, and the learning factor influenced by the rooster is added to the chick position formula. Finally, using the idea of heredity, individuals with excellent fitness value are selected for crossover and mutation with a certain probability. Through the simulation comparison of five typical test functions, the simulation results show that the improved CSO algorithm can avoid local optimization, strengthen the global extreme value search ability, and improve the convergence speed and accuracy range of the algorithm.

KAJIAN FAKTOR-FAKTOR YANG MEMPENGARUHI MOTIVASI BELAJAR GEOGRAFI DI SMA

This study aims to determine the contribution of the variable of student interest in learning to motivation to learn, the contribution of the variable of parents' attention to learning motivation, the contribution of the variable of student learning facilities to learning motivation, the contribution of the variable of geography learning to learning motivation, and the contribution of the four variables together to student's motivation to study. The research uses quantitative methods, the data sources come from observations, documentation, and questionnaires, then analyzed by multiple regression analysis. The results showed that the factors that influence students' learning motivation in geography are interest factors, parental attention, learning facilities, and geography learning. The interesting factor contributes to the motivation of 0.511. The parental attention factor contributed to the motivation of 0.694. The factor of learning facilities contributed to the motivation of 0.672. The geography learning factor contributed 0.514. The overall and joint contribution of the four variables to motivation is 0.752, and the rest is influenced by other factors that are not studied in the study. The dominant factor that affects learning motivation is the parent's attention factor, which is 0.694.

Three-Dimensional Node Localization Algorithm Based on Communication Radius Refinement and Improved Particle Swarm Optimization

Background: With the development of the Internet of things, WSN node positioning is particularly important due to its core technology. One of the most widely used algorithms, the DV-hop algorithm, has many advantages, such as convenient operation, use of no additional equipment, etc. At the same time, it also has some disadvantages, like large location error and insufficient robustness. Particle swarm optimization algorithm is advantageous in dealing with nonlinear optimization problems. Therefore, the improved particle swarm optimization algorithm is introduced to solve the problem of inaccurate positioning. Objective: This study aimed to determine the problem of large positioning error in three-dimensional node localization algorithm. Furthermore, this paper proposes an intelligent node localization algorithm based on hop distance adjustment. The algorithm is used to optimize the hop number of nodes and make the distance calculation more accurate. At the same time, particle swarm optimization is used to intelligently solve the problem of choosing the most valuable node position. Methods: Firstly, this paper analyzes the errors caused by the 3D DV-hop localization algorithms. Then, a new method of distance estimation and coordinate calculation is provided. At the same time, mutation factor and learning factor based on the particle swarm optimization algorithm are introduced. Then, a three-dimensional node localization algorithm based on ranging error correction and particle swarm optimization algorithm is proposed. Finally, the improved algorithm is simulated and compared with similar algorithms. Results: The simulation results show that the proposed algorithm has good convergence. It improves the positioning accuracy without additional hardware conditions and effectively solves the problem of inaccurate node positioning. The proposed algorithm creatively combines the hop number correction and particle swarm optimization algorithm to improve the accuracy of node positioning and robustness. However，the amount of computation is increased. Conclusion: Overall, it is within acceptable limits. It is worthwhile to improve the performance with a little increase in the amount of computation. The algorithm is worth popularizing.

Effective German and English Language mHealth Apps for Self-management of Bronchial Asthma in Children and Adolescents: Comparison Study

Background Mobile health (mHealth) apps hold great potential for asthma self-management. Data on the suitability of asthma apps intended for children are insufficient, and the availability of German language apps is still inadequate compared with English language apps. Objective This study aims to identify functional asthma apps for children in German and to compare them with English language apps. In line with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, the Google Play Store and Apple App Store are systematically searched to preselect the most efficient apps, which are then compared according to a self-compiled criteria catalog. Methods Both app stores were screened for the term asthma. Following a PRISMA preselection process, the apps that met the inclusion criteria (ie, available free of charge, German or English language, and suitable for children) were rated by 3 independent persons following a criteria catalog consisting of 9 categories, some conceived for this purpose (availability, child-friendly, learning factor, and range of functions) and some adopted from existing validated catalogs (functionality and design, ease of use, potential for improving asthma self-management, fun factor and incentives, and information management and medical accuracy). The highest rated apps in German and English were compared. Results A total of 403 apps were identified on the Google Play Store and the Apple App Store. Finally, 24 apps that met the inclusion criteria were analyzed. In the first step of the quality assessment, only 4 available German language asthma apps were compared with 20 English language asthma apps. The 4 German language apps were then compared with the 4 highest rated English language apps. All selected apps, independent of the language, were comparable in the following categories: availability, functionality and design, ease of use, and information management and medical accuracy. The English language apps scored significantly higher in the following categories: potential for improving self-management, child-friendly, fun factor, learning factor, and range of function. English language apps (mean total points 34.164, SD 1.09) performed significantly better than German language asthma apps (mean total points 22.91, SD 2.898; P=.003). The best rated English language app was Kiss my asthma (36/42 points), whereas the best rated German language app Kata achieved only 27.33 points. Conclusions The recommended English language apps are Kiss my asthma, AsthmaXcel, AsthmaAustralia, and Ask Me, AsthMe!, whereas the only recommended German language app is Kata. The use of apps plays an increasingly important role in patients’ lives and in the medical field, making mHealth a staple in the future of asthma treatment plans. Although validated recommendations on rating mHealth apps have been published, it remains a challenging task for physicians and patients to choose a suitable app for each case, especially in non–English-speaking countries.

Strategy of adherence to long-term bronchial asthma control formation

One of the approaches to the formation of adherence to long-term treatment of patients with bronchial asthma, the basis of which is the introduction of a learning factor into their therapeutic complex, is considered. The cognitive strategy of individual and group education of patients in the Asthma School environment helps to awaken the patient’s activity at the level of competence in the management of the illness, and cooperation with the attending physician. The patient consistently acquires the necessary knowledge, useful skills and confidence in the importance of personal participation in the treatment of this disease, moving from compliance to informed adherence to treatment. The significant advantages of long-term treatment of bronchial asthma, in which trained patients are involved, are shown.