Educational Software Research Articles

Design and development of educational software on the principles and methods of protection against dental radiographic radiation and its effect on the learning rate of dental students

Design and development of educational software on the principles and methods of protection against dental radiographic radiation and its effect on the learning rate of dental students

Program Literasi Informasi di Sekolah Polisi Negara Hinai Polisi Daerah Sumatera Utara

This research aims to (1) evaluate the efforts made by the North Sumatra Regional Police Hinai State Police School Library in the information literacy program, (2) assess the results achieved by students from the information literacy program, and (3) identify inhibiting factors in the implementation of the information literacy program in the library of the North Sumatra Police Hinai State Police School. The research method used was qualitative with a descriptive approach, using interview techniques, and research subjects were selected through purposive sampling. The results of the research show that the information literacy program in the North Sumatra Regional Police Hinai State Police School library has produced various activity programs, such as a 15 minute reading program every two weeks and reading awards. SPN Hinai North Sumatra Regional Police students are able to understand and utilize information from the library for DIKTUBA (Non-Commissioned Officer Education) POLRI assignments. Obstacles in implementing the program include a lack of media and human resources skilled in information literacy as well as a lack of adequate facilities and infrastructure.

Finding the place for nutrition in healthcare education and practice

BackgroundMalnutrition continues to impact healthcare outcomes, quality of life and costs to healthcare systems. The implementation of nutrition care in healthcare practice may improve health outcomes for patients and the...

Association of human interpretable features derived from pancreatic ductal adenocarcinoma pathology slides with disease-free survival.

e16368 Background: Pancreatic ductal adenocarcinoma (PDAC) is predicted to be the second cause of cancer death in the US by 2040. For the minority of patients who are candidates for curative-intent surgical resection, a neoadjuvant approach with chemotherapy or chemotherapy followed by chemoradiotherapy (chemoRT) has become the standard of care. The tumor microenvironment (TME) has been recognized as a key factor in therapeutic resistance and disease progression. This study aims to explore the prognostic value of human-interpretable machine learning image features (HIFs) derived from whole-slide H&E images. Methods: Consecutive PDAC patients who underwent neoadjuvant therapy followed by surgical resection were studied in this single-institution retrospective study. Clinical variables collected include tumor site (head/body/tail), surgery extent, histology, sex, age at diagnosis, grade, treatment response (4-point scale), LVI, PNI, resection margin status, pathological TNM staging, number of lymph nodes removed/positive, neoadjuvant strategy (chemotherapy vs chemoRT), and number of neoadjuvant chemo cycles. These factors were analyzed with a multivariable Cox proportional hazards model for disease-free survival (DFS) after surgery. Additionally, 420 human-interpretable image features (HIFs) derived from a commercial machine learning software were analyzed with a univariable Cox model on a binary outcome of 1-yr DFS, applying a Bonferroni correction for multiple comparisons to identify significant predictors. Results: Increased neoadjuvant chemotherapy cycles (HR = 0.62, p = 0.001, [median: 8, IQR: 6-12]) and receipt of combination neoadjuvant therapy (HR = 0.15, p = 0.020, [29% chemo, 71% +chemoRT]) exhibited a protective effect in the multivariable DFS model. 3 HIFs quantifying immune cells and macrophages within the cancerous tissue and its stroma were associated with an improved probability of 1-year DFS. Conclusions: In addition to clinical factors, HIFs may offer valuable insights into the tumor microenvironment's influence on PDAC progression, paving the way for improved prognostic models and therapeutic strategies. Future work will integrate clinical predictors with HIFs in a combined model.

Evaluating the deep learning software tools for large-scale enterprises using a novel TODIFFA-MCDM framework

Deep learning (DL) is one of the most promising technological developments emerging in the fourth industrial revolution era for businesses to improve processes, increase efficiency, and reduce errors. Accordingly, hierarchical learning software selection is one of the most critical decision-making problems in integrating neural network applications into business models. However, selecting appropriate reinforcement learning software for integrating deep learning applications into enterprises’ business models takes much work for decision-makers. There are several reasons for this: first, practitioners’ limited knowledge and experience of DL makes it difficult for decision-makers to adapt this technology into their enterprises’ business model and significantly increases complex uncertainties. Secondly, according to the authors’ knowledge, no study in the literature addresses deep structured learning solutions with the help of MCDM approaches. Consequently, making inferences concerning criteria that should be considered in an evaluation process is impossible by considering the studies in the relevant literature. Considering these gaps, this study presents a novel decision-making approach developed by the authors. It involves the combination of two new decision-making approaches, MAXC (MAXimum of Criterion) and TODIFFA (the total differential of alternative), which were developed to solve current decision-making problems. When the most important advantages of this model are considered, it associates objective and subjective approaches and eliminates some critical limitations of these methodologies. Besides, it has an easily followable algorithm without the need for advanced mathematical knowledge for practitioners and provides highly stable and reliable results in solving complex decision-making problems. Another novelty of the study is that the criteria are determined with a long-term negotiation process that is part of comprehensive fieldwork with specialists. When the conclusions obtained using this model are briefly reviewed, the C2 “Data Availability and Quality” criterion is the most influential in selecting deep learning software. The C7 “Time Constraints” criterion follows the most influential factor. Remarkably, prior research has overlooked the correlation between the performance of Deep Learning (DL) platforms and the quality and accessibility of data. The findings of this study underscore the necessity for DL platform developers to devise solutions to enable DL platforms to operate effectively, notwithstanding the availability of clean, high-quality, and adequate data. Finally, the robustness check carried out to test the validity of the proposed model confirms the accuracy and robustness of the results obtained by implementing the suggested model.

Effect of an educational intervention package on knowledge, perception and behavioral intention for breast cancer screening among adolescent students of Kathmandu Metropolitan City

Background: Breast cancer is the most common cancer among women worldwide and is the second most common in Nepal. This study assessed the effect of an educational intervention package on knowledge, perception, and behavioral intention for breast cancer screening among adolescent students of Kathmandu Metropolitan City.Methods: A pretest -posttest control group study design was used. Each intervention and control groups included 159 participants, selected from two randomly chosen public secondary schools. Both groups completed self-administered pretest-posttest questionnaires. Educational intervention was given to the intervention group. Data was entered in EpiData 3.1 and analysed by using IBM SPSS 16 version. Wilcoxon Signed Rank test compared the difference in pretest-posttest scores within groups, and the Mann-Whitney U tested the difference between the control and the intervention groups. Results: In pretest-posttest comparisons, the intervention group showed an increase in the percentage of participants scoring at least the median value across knowledge (change: 18.0%, p<0.001), overall perception (change: 20.8%, p <0.001), and behavioral intention (change: 56.6%, p<0.001). There was significant increase in knowledge, perception, and behavioral intention among the intervention group compared to the control group (p<0.05). Conclusion: The educational intervention package showed a notable effect in increasing adolescent students’ intention to get screened for breast cancer. This study emphasizes the need to incorporate breast cancer screening programs into school-level curricula. In addition, this encourages adolescents to take a proactive stance when it comes to health consciousness.

Application of Auxiliary Teaching Software in Middle School Chemistry Teaching-Taking “Chlorine and Its Compounds” as an Example

Application of Auxiliary Teaching Software in Middle School Chemistry Teaching-Taking “Chlorine and Its Compounds” as an Example

Strategies adopted by informal carers to enhance participation in daily activities for persons with dementia.

Carers for people with dementia commonly experience difficulty assisting the care-recipients with their daily activities and may adopt specific strategies to decrease the difficulties experienced. The objective of this qualitative study was to explore and understand the strategies used by carers to assist with daily activities for persons living with dementia. Individual semi-structured interviews via face-to-face or telephone mode were conducted with 62 carers of persons living with dementia in Australia. Carers were asked about the strategies they have used previously, or are currently using, to assist with daily activity completion. Data were analysed via constant comparison and thematic analysis. All carers reported the need for strategies to accommodate the varying behaviour and functioning of the care-recipients. Participants reported a total of 207 strategies that fell into four main categories: (i) engage; (ii) adapt; (iii) orientate; and (iv) sense. The most used strategies were reported as those aimed at adapting the activity by using equipment to facilitate completion. Carers help persons living with dementia complete their daily activities by developing their own strategies based on the care-recipients' needs and personal preferences through a trial-and-error process. Carers can benefit if more advice is provided to them by health/social care professionals regarding what strategies may be helpful. Further studies are needed to develop these strategies into an educational package so that carers can be guided to use these strategies appropriately.

Investigating the Higher Education Students’ Perception of an Interactive DC Motor Simulator

This study investigates the perceptions of higher education students regarding an interactive DC (Direct Current) motor simulator, shedding light on the evolving landscape of virtual education. By utilizing five aspects of learning dimension, visual elements, software functionality, usability, and portability of a four-point Likert scale questionnaire, the research uncovers a generally positive reception of the simulator among students, who view it as a valuable complement to traditional hands-on laboratories, enabling self-paced learning and offering repeatable experiments in a safe environment. Nevertheless, our research highlights notable concerns, such as challenges related to user interface design and pre-installation software. These findings offer crucial insights into the strengths and limitations of a DC motor simulator in higher education, providing guidance for educators and instructional designers striving to optimize digital learning experiences.

Exploring Student Perceptions of Technological Pedagogical Content Knowledge (TPACK) in Translation Courses

Technological Pedagogical Content Knowledge (TPACK) is regarded as one of the most significant models for showcasing students' perceptions in translation courses. This study was undertaken to investigate the perceptions of both novice and experienced translation students from institute Pendidikan dan Bahasa Invada regarding the utilization of technological pedagogical content knowledge in professional development teaching. In pursuit of the study's three objectives, the mixmethod method was utilized by the two authors due to its appropriateness. Data gathering involved distributing a 20-item questionnaire to a purposive sample comprising 75 novice and experienced and female translation students chosen from institute Pendidikan dan Bahasa Invada during 2021/2022. Additionally, a significant proportion of the instructors demonstrated an average level of knowledge regarding TPACK. Their perceptions towards TPACK were notably positive. Moreover, the study's results highlighted the substantial role of educational backgrounds in digital technologies in the professional development of novice and experienced translation instructors at IPB Cirebon. The study's implications were deliberated upon, with recommendations proposed to equip all institution in cirebon with educational software, e-learning platforms, teaching software, and to provide novice and experienced translation students’ with sessions on new digital skills, cybersecurity workshops, and innovative digital skills training.

인공지능 시대 준비를 위한 유아교사 소프트웨어 수업역량 증진 프로그램 개발

인공지능 시대 준비를 위한 유아교사 소프트웨어 수업역량 증진 프로그램 개발

인공지능 시대 준비를 위한 유아교사 소프트웨어 수업역량 증진 프로그램 개발

인공지능 시대 준비를 위한 유아교사 소프트웨어 수업역량 증진 프로그램 개발

Develop a curriculum for first-year students at Aksu vocational and technical college’s school of humanities and arts, focusing on teaching Chinese folk songs

This research investigates the integration of Chinese folk songs into the curriculum at Aksu Vocational and Technical College, situated in the culturally diverse Aksu region of Xinjiang, China. This study identifies significant gaps in current music education methods, particularly the disconnect between theoretical learning and practical application, which hinders students’ ability to engage deeply with the material and develop employable skills. Employing a mixed-methods research design, both qualitative and quantitative approaches were used to develop, implement, and evaluate a teaching package specifically designed for first-year students. The package aimed to enhance students' understanding and appreciation of Chinese folk music, thereby improving their cultural competence and engagement with the academic content. The findings suggest that the new curriculum significantly boosted the students' knowledge of and connection to folk music traditions. It also facilitated a better understanding of the music’s historical, cultural, and social contexts. Moreover, the teaching package fostered essential skills in cultural awareness and academic involvement, contributing effectively to vocational music education in a multi-ethnic setting. This approach not only bridges the gap between theory and practice but also enriches the students’ educational experience by embedding cultural appreciation into the learning process, making a substantial contribution to the field of music education.

Implementation of an Academic Software for Children from 6 to 8 Years Old for Easy Learning in Basic Mathematics and Reading Comprehension

Nowadays teaching has not improved talking about the methods to get to interest the studentor want to learn, it is not common for schools to have a didactic and innovative curriculum, we continue to maintain in do the same learning format of years ago and it is one of the areas in which we do not evolve compared to others. As we well know, among the most important foundations in education are the reading comprehension and mathematics courses, because these are the pillars to have facilities in learning with other courses in the future and that is why it is important to ensure the knowledge of these courses in childhood so that these students do not present difficulties to learn in the future. That is why in the part of basic education we see important the implementation of an educational software for children, to improve their motor capacity in terms of learning the area of mathematics and reading comprehension, since relying on statistical data we realized that the levels of knowledge in these courses, They are not the desired ones, therefore, we agreed to project a new way of learning so that children can be interested in wanting to learn, for this we develop a plan in which it is proposed to implement educational games, memory games, didactic reading, among others, all this to ensure that children improve their learning through new learning methodologies.

Left atrial wall thickness measured by a machine learning method predicts AF recurrence after pulmonary vein isolation

Abstract Background Left atrial (LA) remodeling plays a significant role in the progression of atrial fibrillation (AF). Although LA wall thickness (LAWT) has emerged as an indicator of structural remodeling, its impact on AF outcomes remains unclear. We aimed to determine the association between LAWT and AF recurrence after pulmonary vein isolation (PVI). Methods Single-center registry of patients enrolled for radiofrequency PVI from 2016 to 2018. In all cases, a pre-ablation CT scan was performed within less than 48 hours. Mean LAWT was retrospectively determined by a semi-automated machine learning method with minimal human intervention (ADAS 3D®). Additionally, regional tissue thickness was assessed in four locations: roof and inferior, posterior, and anterior walls. In a subgroup of patients, a pre-ablation cardiac magnetic resonance (CMR) was also performed within the same week. LA functional parameters and fibrosis, using 3D delayed gadolinium enhancement, were analyzed. The primary endpoint was AF recurrence after a 3-month blanking period. Results A total of 439 patients (mean age 61±12years, 62% male, 78% with paroxysmal AF) were included. The mean LAWT was 1.4±0.2mm (ranging from 0.9 to 1.9mm). Software processing duration was 8.2±0.4 min, and the mean human input time was 1.3±0.1 min. There was no correlation between LAWT and CT-derived LA-indexed volume (Spearman –0.01, p=0.845). During a median follow-up of 5.8 (IQR 4.9–6.6) years, 238 patients (54%) had an AF relapse. LAWT was an independent predictor of recurrence, after adjusting for known confounders including age, non-paroxysmal AF, LA-indexed volume, and chronic kidney disease (adjusted HR 6.49 [95% CI 2.70-15.49], p<0.001). AF recurrence rates were 11%, 15%, and 21%/year across terciles of increasing LAWT (log-rank p<0.001) – Figure. The posterior LAWT revealed the strongest association with the study endpoint (HR 1.93 [95% CI 1.24-3.02], p=0.004). In the cohort of 62 patients with both CT and CMR, LAWT showed weak correlations with LA ejection fraction and LA coupling index (Spearman <0.25; p=0.054 and p=0.093, respectively), and a moderate correlation with LA fibrosis (Spearman 0.468; p<0.001). Conclusions Mean LAWT, easily assessed by commercially available machine learning software, is an independent predictor of AF recurrence after PVI in the long-term follow-up. This association is mainly driven by the posterior LAWT. Whether patients with increased LAWT should receive tailored therapy deserves further investigation.Figure

The effects of gamified daily awards on digital vocabulary flashcard learning: A case study

Gamification in second language acquisition research is a popular topic but there are few empirical comparative studies in the literature. This quasi-experimental mixed-approach study enrolled volunteer Japanese university EFL learners to enable a comparison between two digital vocabulary flashcard learning software conditions carefully designed by the author; (1) the gamified group’s software had daily awards (i.e., consecutive day awards, medals related to daily participation, and a bonus point counter in an effort to encourage spaced spaced learning principles and discourage cramming) and (0) the non-gamified group’s did not. The daily awards had a significant effect in encouraging the gamified group to spread out their study efforts throughout the 12-week study period more effectively than the control group as they completed a lower median number of tasks per active study day (non-gamified: 104.76, gamified: 82.11; p= .021, r(75)= -.264) but studied on more days to complete a similar total number of vocabulary tasks (non-gamified: 2313.00, gamified: 2228.50; p= .601). Moreover, the gamified group significantly outperformed the non-gamified group in terms of vocabulary knowledge score gains between the pretest and posttest; p= .03, r(50)= .300. These results show the numerous and significant positive pedagogical impacts of gamified daily awards.

Learning Package impact on awareness about danger signs of pregnancy

Background: All pregnant women by virtue of their pregnant status face some level of maternal risk. Data suggest that around 40% of all pregnant women have some complications. Therefore, present study aims to assess effectiveness of learning package on awareness regarding danger signs of pregnancy. Method: Pre experimental research design with Quantitative approach was applied to conduct the study. A sample of 120 antenatal women selected for the study through non probability purposive sampling technique. Results: The mean pretest knowledge score was 13.52 ± 2.62, whereas mean posttest knowledge score was 24.52 ± 3.83. The post-test mean value knowledge score among antenatal women was significantly higher than the pretest knowledge score. The mean difference was 11 The paired student “t” test value was 33.67 which was significant at p=0.05 level. The findings revealed that there was no significant association between knowledge score with selected demographic variables of the antenatal women. Conclusion: Findings of our study strongly recommend the need for conducting learning program to increase the awareness regarding danger signs of pregnancy among antenatal women.

Enhancing resilience in rural Chinese preschoolers: a randomized controlled trial of play-based picture-book reading intervention for 4-5-year-olds

ABSTRACT This study addresses a gap in resilience interventions for rural preschoolers by validating a 14-week play-based picture-book reading program involving 80 Chinese preschoolers aged 4–5 years. Participants were randomly assigned to non-intervention (NI), play intervention (PI), picture-book reading intervention (PRI), or play-based picture-book reading intervention (PPRI) groups. Kindergarten teachers and parents reported children’s resilience with the Chinese version of Devereux Early Childhood Assessment for Preschoolers at pretest, post-test, and follow-up. Results revealed that intervention groups (PI, PRI, PPRI) exhibited higher resilience gain scores than the NI group. Notably, the PPRI group demonstrated greater resilience gains compared to the PRI and PI groups. Furthermore, the intervention effects of the PPRI group were maintained for two months following the intervention. Those findings suggest that PPRI may be a valuable intervention for enhancing resilience in preschoolers, with potential applications in kindergarten classrooms.

Reading Intervention Through “Brigada Sa Pagbasa”: Viewpoint of Primary Grade Teachers

This study unfolded the views of teachers in implementing the Brigada sa Pagbasa to improve the learners’ reading skill. The narratives were reflective of both perspective and challenges of teachers in implementing the Brigada sa Pagbasa program that improve learners’ reading ability. There were seven (7) teacher-participants are involved in this study. The participants are primary grade teachers who have implemented the Brigada sa Pagbasa program, and they are purposively selected as informants. The data gathering of information in this phenomenological inquiry had employed in-depth interview of participants through virtual conference and limited face-to-face subsequently observing strict compliance of standard health protocol. Using thematic analysis, the views of teachers in implementing the Brigada sa Pagbasa to improve the learners’ reading skill were as follows: Promote a reading culture and Develop reading skills. On the challenges of the teachers in in implementing the reading program to improve the learners’ reading skill, the following were the themes and findings of the study: Lack of Parental support and Lack of motivation in reading. From the perspectives and challenges of teachers, the following were the insights drawn from the findings of the study: Encourage parental involvement in reading programs and Conduct trainings/seminar for teachers in reading. From the start, this study endeavored to contribute insights of the teachers in implementing the Brigada sa Pagbasa to improve the learners’ reading skill. The new knowledge drawn from this study is noteworthy for quality delivery of education in school.

Combating the Hidden Threat: A Survey of Cryptojacking

The illicit use of computer resources for mining cryptocurrencies, or "cryptojacking," has become a common cyberthreat in the online world. This analysis explores the various aspects of cryptojacking and the sly methods that attackers use. We look at how malicious scripts can be hidden and used to steal processing power for nefarious purposes in seemingly authentic websites or ads. We also look into how cryptojacking affects people, companies, and vital infrastructure, pointing out possible issues including service interruptions, data breaches, and performance degradation. The study concludes by examining mitigating techniques, such as network segmentation for enterprises, user education, and strong security software, to counter this growing threat. We can protect our digital assets and negotiate the always shifting danger landscape by being aware of the techniques, effects, and possible countermeasures against cryptojacking.Cryptojacking can lead to performance degradation, increased energy bills, and data breaches