scholarly journals Influencing Factors of Learning Experience in Online Large-Class Teaching ——Semantic Analysis Based on Students’ Classroom Feedback Language Materials

CONVERTER ◽  
2021 ◽  
pp. 113-123
Author(s):  
Qing Liu
Keyword(s):  
Influencing Factors ◽  
Questionnaire Survey ◽  
Semantic Analysis ◽  
Emotional Experience ◽  
Learning Experience ◽  
Pearson Correlation ◽  
Teaching Management ◽  
Course Characteristics ◽  
Leading Role ◽  
Analysis Platform

As the learners' perception and reaction in multiple aspects during the course learning, learning experience is of great importance for the study of educational evaluation and the optimization of teacher teaching and teaching management. According to the text semantic analysis and questionnaire survey on students' learning feedback in online large classes,the NLPIR-Parser big-data semantic intelligent analysis platform is used in this paper to carry on keywords extraction and analysis, text sentiment analysis, text clustering and abstract extraction after the processing of original corpus, and then SPSS22.0 software is used to conduct Pearson correlation analysis on the score of text sentiment and the statistical data of questionnaire survey.The results show that the results of text semantic analysis and questionnaire survey have the consistency in positive learning experience; students' negative emotional experience has a significantly reverse correlation with learning effect score; teacher teaching, student learning,course characteristics and learning environment are proved to be the main influencing factors of students' learning experience, in which, teacher teaching plays a leading role. Then, the specific thinking of improving students' learning experience is put forward on the basis of research results.

scholarly journals Experiential Learning in a Gamified Pharmacy Simulation: A Qualitative Exploration Guided by Semantic Analysis

Pharmacy ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 81
Author(s):  
Denise L. Hope ◽  
Gary D. Rogers ◽  
Gary D. Grant ◽  
Michelle A. King
Keyword(s):  
Experiential Learning ◽  
Semantic Analysis ◽  
Interprofessional Collaboration ◽  
Emotional Experience ◽  
Learning Experience ◽  
Learning Activity ◽  
Patient Centeredness ◽  
Prior Learning ◽  
Reflective Journals ◽  
Qualitative Exploration

Experiential learning is an important component of pharmacist education and is primarily achieved through supervised placement or simulation. This study explored senior pharmacy students’ experiential learning in an extended, immersive, gamified simulation, conducted as a capstone learning activity toward the end of their final year of study, consolidating all prior learning and preparing students for intern practice. The simulation aimed to enhance student confidence, competence and collaboration. The three-week activity involved student teams competitively managing simulated pharmacies, assuming the role of pharmacists to complete all scaffolded assessments, including dispensing prescriptions, clinical cases, verbal counselling, simulated patient cases, interprofessional collaboration, and assignments. Assessments were marked continuously, with consequences of practice acknowledged through gain or loss of ‘patients’ for the pharmacy. From 2016 to 2018, 123 students completed multiple individual reflective journals (n = 733). Reflective journals were analyzed to explore the student experience, using a mixed methods approach. Initial Leximancer® 4.51 semantic analysis guided thematic analysis, conducted in NVivo® 12. The major themes that emerged were teamwork, patient-centeredness, medicines provision, future practice, and the learning experience. Student participants reported an intense and emotional experience in the gamified simulation, with many students revealing transformation in their skills, behaviors and attitudes over its duration.

scholarly journals The role of serum β-trophin and endostatin in patients with polycystic ovary syndrome: Are they correlated?

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Wei Gong ◽  
Aikmu Bilixzi ◽  
Xinmei Wang ◽  
Yanli Lu ◽  
Li Wan ◽  
...  
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Influencing Factors ◽  
Polycystic Ovary ◽  
Pearson Correlation ◽  
Healthy Controls ◽  
Newly Diagnosed ◽  
Ovary Syndrome ◽  
Factors Affecting ◽  
Main Factors

Abstract Background It’s necessary to investigate the serum β-trophin and endostatin (ES) level and its influencing factors in patients with newly diagnosed polycystic ovary syndrome (PCOS). Methods Newly diagnosed PCOS patients treated in our hospital were selected, and healthy women who took physical examination during the same period as healthy controls. We detected and compared the related serum indicators between two groups, Pearson correlation were conducted to identify the factors associated with β-trophin and ES, and the influencing factors of β-trophin and ES were analyzed by logistic regression. Results A total of 62 PCOS patients and 65 healthy controls were included. The BMI, WHI, LH, FSH, TT, FAI, FBG, FINS, HOMA-IR, TC, TG, LDL, ES in PCOS patients were significantly higher than that of healthy controls, while the SHBG and HDL in PCOS patients were significantly lower than that of healthy controls (all p < 0.05). β-trophin was closely associated with BMI (r = 0.427), WHR (r = 0.504), FBG (r = 0.385), TG (r = 0.405) and LDL (r = 0.302, all p < 0.05), and ES was closely associated with BMI (r = 0.358), WHR (r = 0.421), FBG (r = 0.343), TC (r = 0.319), TG (r = 0.404, all p < 0.05). TG, BMI, WHR and FBG were the main factors affecting the serum β-trophin levels (all p < 0.05). FBG, TC and BMI were the main factors affecting the serum ES levels (all p < 0.05). The TG, β-trophin, ES level in PCOS patients with insulin resistance (IR) were significantly higher than that of those without IR (all p < 0.05). Conclusion Increased β-trophin is closely associated with increased ES in patients with PCOS, which may be the useful indicators for the management of PCOS.

scholarly journals Evaluation of Landslide Susceptibility of the Ya'an-Linzhi Section of the Sichuan-Tibet Railway based on Deep Learning

2021 ◽  
Author(s):  
Shibao Wang ◽  
Jianqi Zhuang ◽  
Jiaqi Mu ◽  
Jia Zheng ◽  
Jiewei Zhan ◽  
...  
Keyword(s):  
Neural Network ◽  
Deep Learning ◽  
Influencing Factors ◽  
Landslide Susceptibility ◽  
Pearson Correlation ◽  
Confusion Matrix ◽  
Tibet Plateau ◽  
Validation Data ◽  
Landslide Hazards ◽  
Qinghai Tibet Plateau

Abstract The Qinghai-Tibet Plateau is one area with the most frequent landslide hazards due to its unique geology, topography, and climate conditions, posing severe threats to engineering construction and human settlements. The Sichuan-Tibet Railway that is currently under construction crosses the Qinghai-Tibet Plateau; there are frequent landslide disasters along the line, which seriously threaten the construction of the railway. This paper applied two deep learning (DL) algorithms, the convolutional neural network (CNN) and deep neural network (DNN), to landslide susceptibility mapping of the Ya’an-Linzhi section of the Sichuan-Tibet Railway. A geospatial database was generated based on 587 landslide hazards determined by Interferometric Synthetic Aperture Radar (InSAR) Stacking technology, field geological hazard surveys, and 18 landslide influencing factors were selected. The landslides were randomly divided into training data (70%) and validation data (30%) for the modeling training and testing. The Pearson correlation coefficient and information gain method were used to perform the correlation analysis and feature selection of 18 influencing factors. Both models were evaluated and compared using the receiver operating characteristic (ROC) curve and confusion matrix. The results show that better performance in both the training and testing phases was provided by the CNN algorithm (AUC = 0.88) compared to the DNN algorithm (AUC = 0.84). Slope, elevation, and rainfall are the main factors affecting the occurrence of landslides, and the high and very high landslide susceptibilities were primarily distributed in the Jinsha, Lancang, and Nujiang River Basins along the railway. The research results provide a scientific basis for the construction of the Ya'an-Linzhi section of the Sichuan-Tibet Railway within the region, as well as the disaster prevention and mitigation work during future safe operations.

scholarly journals Analysis of Influencing Factors Tourists’ Purchase Decision-making Behavior in Kunming

2018 ◽  
Vol 2 (3) ◽  
pp. 87
Author(s):  
Bin Feng ◽  
Hua Chen ◽  
Qinglei Li ◽  
Wei Li
Keyword(s):  
Decision Making ◽  
Consumer Behavior ◽  
Influencing Factors ◽  
Questionnaire Survey ◽  
Current Situation ◽  
High Price ◽  
Purchase Decision ◽  
Shopping Experience ◽  
Countermeasures And Suggestions ◽  
Decision Making Behavior

Based on the theory of consumer behavior, this paper analyzes the current situation of tourism shopping market in Kunming, and analyzes the decision-making behavior of tourists shopping in Kunming with the questionnaire survey, and clarifies the influencing factors of the decision-making behavior of visitors to Kunming. In the future, the influencing factors of Kunming tourists' shopping decision-making behavior are combined with the current situation of Kunming's tourism shopping market. The problems of cheating-induced shopping, the high price of shopping products, the low level of tourism shopping experience and the imperfect after-sales service are analyzed. Finally, the corresponding countermeasures and suggestions are proposed from four aspects: rectifying the tourism shopping market, establishing a sound price supervision mechanism, strengthening the tourism shopping experience, and improving after-sales service.

scholarly journals Analysis of Influencing Factors of Compliance with Non-Vitamin K Antagonist Oral Anticoagulant in Patients with Nonvalvular Atrial Fibrillation and Correlation with the Severity of Ischemic Stroke

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Li Zhu ◽  
Xiaodan Zhang ◽  
Jing Yang
Keyword(s):  
Atrial Fibrillation ◽  
Ischemic Stroke ◽  
Influencing Factors ◽  
Clinical Supervision ◽  
Vitamin K ◽  
Pearson Correlation ◽  
Anticoagulation Therapy ◽  
Vitamin K Antagonist ◽  
Nonvalvular Atrial Fibrillation ◽  
Increased Risk

Nonvalvular atrial fibrillation (NVAF) is associated with an increased risk of stroke and thrombus, and anticoagulant therapy is a key link in the prevention of stroke. At present, the anticoagulation rate of atrial fibrillation in China is low, and there are many factors affecting the adherence of patients with atrial fibrillation to anticoagulation. Non-vitamin K antagonist oral anticoagulants (NOACs) are anticoagulant with high application value due to their high safety and low risk of intracranial hemorrhage, stroke, and death. However, the compliance of NOACs is poor, and the current situation of anticoagulants in China is not optimistic. In this study, a total of 156 patients with NVAF who received NOAC anticoagulation therapy in our hospital from January 2018 to January 2019 were retrospectively analyzed. The results showed that education background, place of residence, number of complications, CHA2DS2-VASc score, and HAS-BLED score were independent influencing factors for NOACS compliance of NVAF patients. Also, the Pearson correlation analysis showed that there was a negative correlation (r = −0.465, P < 0.001 ) between NOAC compliance and severity of ischemic stroke in patients with NVAF. Therefore, clinical supervision and management of patients with NVAF after NOACs should be strengthened to improve the compliance of patients with NVAF after NOACs, reduce the damage of ischemic stroke, and improve their prognosis.

scholarly journals Extracting relationship between air pollution and precipitation using spatio-temporal analysis in Tehran metropolis

2019 ◽  
Vol 2 ◽  
pp. 1-7
Author(s):  
Shokouh Dareshiri ◽  
Mohammadreza Sahelgozin ◽  
Maryam Lotfian ◽  
Jens Ingensand
Keyword(s):  
Air Pollution ◽  
Carbon Monoxide ◽  
Regression Model ◽  
Influencing Factors ◽  
Polynomial Regression ◽  
Human Life ◽  
Pearson Correlation ◽  
Influencing Factor ◽  
Polynomial Equation ◽  
Temporal Analysis

<p><strong>Abstract.</strong> Precipitation is one of the main stages of the water cycle, and it is required for the organisms to survive on the planet. In contrast, air pollution is a phenomenon that has greatly affected the human life nowadays. Population growth, development of factories and increasing number of fossil fuel vehicles are the most influencing factors on air pollution. In addition to understand nature of precipitation and air pollution, finding relationship between these two phenomena is necessary to make appropriate policies for reducing air pollution. Furthermore, studying trends of precipitation and air pollution in the past, is helpful to forecast the times and places with less precipitation and more air pollution for a better urban management. In this study, we tried to extract any probable relationship between these two parameters by investigating their monthly measured amounts in 22 municipal districts of Tehran in three epochs of time (2009, 2013 and 2017). Carbon Monoxide (CO) was considered as the indicator of air pollution. Results of the study show that the parameters have a significant relationship with each other. By using Pearson Correlation Coefficient and One-Way Variance (ANOVA) test, relationship between the data for each month and for each district of Tehran were studied separately. As the time has passed and the air pollution has increased, the correlation between the parameters in districts has decreased. In addition, during the cold months of the year, the correlations decrease since the fact that precipitation is not the only influencing factor on the air pollution due to the rise of air “Inversion”. Finally, the polynomial regression model of carbon monoxide based on precipitation was extracted for each of the three years. The model suggests a degree three polynomial equation. The obtained coefficients from the regression model show that the relationship between parameters was stronger in the years with more rainfalls. This can be due to the more significant impact of other influencing factors on air pollution, such as population density, wind direction, vehicles and factories in the areas or conditions with a less rainfall.</p>

Validation evidence of the paediatric Objective Structured Assessment of Debriefing (OSAD) tool

2016 ◽  
Vol 2 (3) ◽  
pp. 61-67 ◽  
Author(s):  
Jane Runnacles ◽  
Libby Thomas ◽  
James Korndorffer ◽  
Sonal Arora ◽  
Nick Sevdalis
Keyword(s):  
Assessment Tool ◽  
Learning Experience ◽  
Pearson Correlation ◽  
Phase 1 ◽  
Evidence Based ◽  
Validity Evidence ◽  
Multiple Sources ◽  
Simulation Based ◽  
Expert Input

IntroductionDebriefing is essential to maximise the simulation-based learning experience, but until recently, there was little guidance on an effective paediatric debriefing. A debriefing assessment tool, Objective Structured Assessment of Debriefing (OSAD), has been developed to measure the quality of feedback in paediatric simulation debriefings. This study gathers and evaluates the validity evidence of OSAD with reference to the contemporary hypothesis-driven approach to validity.MethodsExpert input on the paediatric OSAD tool from 10 paediatric simulation facilitators provided validity evidence based on content and feasibility (phase 1). Evidence for internal structure validity was sought by examining reliability of scores from video ratings of 35 postsimulation debriefings; and evidence for validity based on relationship to other variables was sought by comparing results with trainee ratings of the same debriefings (phase 2).ResultsSimulation experts’ scores were significantly positive regarding the content of OSAD and its instructions. OSAD's feasibility was demonstrated with positive comments regarding clarity and application. Inter-rater reliability was demonstrated with intraclass correlations above 0.45 for 6 of the 7 dimensions of OSAD. The internal consistency of OSAD (Cronbach α) was 0.78. Pearson correlation of trainee total score with OSAD total score was 0.82 (p<0.001) demonstrating validity evidence based on relationships to other variables.ConclusionThe paediatric OSAD tool provides a structured approach to debriefing, which is evidence-based, has multiple sources of validity evidence and is relevant to end-users. OSAD may be used to improve the quality of debriefing after paediatric simulations.

scholarly journals Study on peak expiratory flow rate and its influencing factors in healthy school children in Kancheepuram district of Tamil Nadu, India

2020 ◽  
Vol 7 (2) ◽  
pp. 393
Author(s):  
Ramamani D. ◽  
Iyanar Kannan
Keyword(s):  
Influencing Factors ◽  
Peak Expiratory Flow ◽  
Flow Rate ◽  
School Children ◽  
Peak Expiratory Flow Rate ◽  
Tamil Nadu ◽  
Pearson Correlation ◽  
Chest Circumference ◽  
Male And Female ◽  
The Mean

Background: The Peak Expiratory Flow Rate (PEFR) is useful to screen and monitor the severity of asthma in children. Many studies have documented that age, height and weight are some of the main factors that affect the PEFR. Thus, the present study was done to find the PEFR values among the school children and to find the factors that influences the PEFR values in our geographical area.Methods: It was a cross sectional study conducted in school children belong the rural area of Kancheepuram district, Tamil Nadu, India. A total of 378 students of both the gender at the age group of 5-10 years were selected for the study. The PEFR was measured by making the participant seated comfortably. One peak flow meter was used for 25 children and mouthpiece was changed for each student.Results: The PEFR value among and male and female participants was analyzed statistically (Table 2). The mean value of male and female study population was 169.53±37.38 and 146.24±33.01 respectively. The difference in the mean values were statistically significant (p=0.001) and found to be high in male participants. The Pearson correlation r between PEFR with height is 0.463, thus showing a positive correlation with the p˂0.001 which is statistically significant. The Pearson correlation r between PEFR and chest circumference is 0.335 thus indicating a positive correlation between PEFR and chest circumference.Conclusions: From the present study, the normal values of PEFR has been deduced for the healthy school children in our geographical area. Further, it was found that the height and chest circumference are influencing factors for PEFR. Further regression equation has been derived that can help us to find the approximate PEFR values with the help of height and chest circumference of the children.

scholarly journals Study of the logistics factors that influence the development of e-commerce services in the customer’s opinion

2018 ◽  
Vol 45 (1) ◽  
pp. 25-34 ◽  
Author(s):  
Teresa Gajewska ◽  
Dominik Zimon
Keyword(s):  
Customer Service ◽  
Questionnaire Survey ◽  
Pearson Correlation ◽  
Quality Criteria ◽  
Internet Shopping ◽  
Degree Of Satisfaction ◽  
Technological Developments ◽  
Dynamic Growth ◽  
The Impact

Recent years have seen a dynamic growth of ecommerce. This links to technological developments, an increase in the number of people who have access to and actively use the Internet, and the use of mobile devices. The aim of the paper is to present the results of a questionnaire survey of the factors behind the development of e-commerce services. Besides, the paper defines the interdependence between the frequency of internet shopping and the logistic aspects of e-commerce. A hierarchy is also established of the degree of satisfaction as regards the quality criteria of e-commerce services. The analysis covers data from a questionnaire survey of 100 customers using ecommerce in Poland. The respondents were customers using e-commerce services aged between 20 and 24. The questionnaire was based on a five-point Likert-type scale of between 1 and 5. The survey was qualitative and nationwide. The analysis was done using the Statistica 10 software. The Pearson correlation was chosen from amongst the methods available to determine the impact between the surveyed variables. Firms that provide e-commerce services aim to fulfil the ever increasing needs and expectations of their customers. They attach a lot of importance to the quality of customer service which is demonstrated by the high scores awarded by the respondents.

Sign in / Sign up

Export Citation Format

Share Document