Efficient Intelligent E-Learning Behavior-Based Analytics of Student’s Performance Using Deep Forest Model

E-learning behavior data indicates several students’activities on the e-learning platform such as the number of accesses to a set of resources and number of participants in lectures.This article proposes a new analytics systemto support academic evaluation for students via e-learning activities to overcome the challenges faced by traditional learning environments.The proposed e-learning analytics system includes a new deep forest model.It consists of multistage cascade random forests with minimal hyperparameters compared to traditional deep neural networks.The developed forest model can analyze each student’s activities during the use of an e-learning platform to give accurate expectations of the student’s performance before ending the semester and/or the final exam.Experiments have been conducted on the Open University Learning Analytics Dataset(OULAD)of 32,593 students.Our proposed deep model showed a competitive accuracy score of 98.0%compared to artificial intelligence-based models,such as ConvolutionalNeuralNetwork(CNN)and Long Short-TermMemory(LSTM)in previous studies.That allows academic advisors to support expected failed students significantly and improve their academic level at the right time.Consequently,the proposed analytics system can enhance the quality of educational services for students in an innovative e-learning framework.

Impact of parenting styles on preschoolers’behaviors

In this editorial,I comment on the article“Association of preschool children behavior and emotional problems with the parenting behavior of both parents”which was published in the latest issue of“World Journal of Clinical Cases”that demonstrates the prevalence of behavioral disorders in preschool children.Therefore I am focused on parenting which is the most effective factor shown to affect the development and continuity of these behaviors.The management of child behavior problems is crucial.Children in early ages,especially preschoolers who are in the first 5 years of life,are influenced by dramatic changes in various aspects of development,such as social,emotional,and physical.Also,children experience many changes linked to different developmental tasks,such as discovering themselves,getting new friendships,and adapting to a new environment.In this period,parents have a critical role in supporting child development.If parents do not manage and overcome their child’s misbehavior,it could be transformed into psychosocial problems in adulthood.Parenting is the most powerful predictor in the social development of preschool children.Several studies have shown that to reduce the child’s emotional and behavioral problems,a warm relationship between parents and children is needed.In addition,recent studies have demonstrated significant relationships between family regulation factors and parenting,as well as with child behaviors.

Association of preschool children behavior and emotional problems with the parenting behavior of both parents

BACKGROUND Parental behaviors are key in shaping children’s psychological and behavioral development,crucial for early identification and prevention of mental health issues,reducing psychological trauma in childhood.AIM To investigate the relationship between parenting behaviors and behavioral and emotional issues in preschool children.METHODS From October 2017 to May 2018,7 kindergartens in Ma’anshan City were selected to conduct a parent self-filled questionnaire-Health Development Survey of Preschool Children.Children’s Strength and Difficulties Questionnaire(Parent Version)was applied to measures the children’s behavioral and emotional performance.Parenting behavior was evaluated using the Parental Behavior Inventory.Binomial logistic regression model was used to analyze the association between the detection rate of preschool children’s behavior and emotional problems and their parenting behaviors.RESULTS High level of parental support/participation was negatively correlated with conduct problems,abnormal hyperactivity,abnormal total difficulty scores and abnormal prosocial behavior problems.High level of maternal support/participation was negatively correlated with abnormal emotional symptoms and abnormal peer interaction in children.High level of parental hostility/coercion was positively correlated with abnormal emotional symptoms,abnormal conduct problems,abnormal hyperactivity,abnormal peer interaction,and abnormal total difficulty scores in children(all P<0.05).Moreover,paternal parenting behaviors had similarly effects on behavior and emotional problems of preschool children compared with maternal parenting behaviors(all P>0.05),after calculating ratio of odds ratio values.CONCLUSION Our study found that parenting behaviors are associated with behavioral and emotional issues in preschool children.Overall,the more supportive or involved the parents are,the fewer behavioral and emotional problems the children experience;conversely,the more hostile or controlling the parents are,the more behavioral and emotional problems the children face.Moreover,the impact of fathers’parenting behaviors on preschool children’s behavior and emotions is no less significant than that of mothers’parenting behaviors.

Relationship between Parent-Child Attachment and Problem Behaviors among Chinese Firstborn Children in Family Transitions: A Meta-Analysis

The implementation of China’s three-child fertility policy has led to a notable increase in multiple-child families.Notably,firstborn children experience a significant transition from being an only child to a non-only child.This transition is associated with problematic behaviors,affecting their social adjustment,sibling relationships,and family harmony.Although several studies have examined the relationship between parent-child attachment and problem behaviors exhibited byfirstborn children during family transitions,thefindings have been inconsistent.Hence,a meta-analytic study was undertaken to elucidate the inconsistencies in this relationship and explore the moderating factors that may contribute to these discrepancies.Using a systematic literature retrieval and screening method,12 effect sizes were derived from the 10 eligible articles,encompassing a sample size of 5319.The meta-analysis demonstrated a low negative association between parent-child secure attachment and problem behaviors exhibited byfirstborn children during family transitions.Furthermore,the present study investigates potential moderator factors,such as children’s age and geographic region,to gain a more nuanced understanding of the relationship.Consequently,the establishment of parent-child attachment relationships has the potential to mitigate problem behaviors observed infirst-born children during family transitions.The implications of thesefindings indicate that parents can nurture secure attachment bonds with their children by demonstrating sensitive responsiveness,employing positive parenting practices,and fostering emotional availability.These efforts contribute to the cultivation of secure internal working models and positive behavioral manifestations withinfirst-born children,which in turn affect their relationships with siblings.

Prevalence of emotional and behavioral problems among schoolchildren in Herat City,Afghanistan

Background:The prevalence of pediatric mental illnesses has been increasing in recent years,with a great potential to impact on individual's functionality and adaptation in adulthood.Objective:This study aims to assess emotional and behavioral problems among schoolchildren in Herat City of Afghanistan.Methods:This cross-sectional study was conducted on schoolchildren(grade 5-10),between September and November 2021.Sociodemographic data was collected using a paper-based 14-item structured questionnaire.Data on emotional and behavioral problems was collected using the Strengths and Difficulties Questionnaire(SDQ)based on teachers'and children's report.Statistical analyses were performed in IBM SPSS Statistics(version 27).Results:A total of 418 students,including 190(45.5%)males and 228(54.5%)females with a mean age of 14.1±1.7(11-<18)years were included in the study.The prevalence of students*self-reported total difficulties and prosocial problem were 5.7%and 1.2%,respectively.An insignificant difference was observed between mean total difficulties scores between students'self-reported and teachers'reported SDQ.Gender,grade,concern about shortage of food,and concern about losing house were significantly predicting students'self-reported total difficulties scores.Conclusion:This is the first study to report the prevalence of emotional and behavioral problems among schoolchildren in Herat City,Afghanistan.This,together with relevant global literature,highlight the need to address pediatric mental health,and provide services aimed at preventing,and treating children with these prob­lems around the world.

Research on the Therapeutic Effect of Sandplay Intervention on Emotional and Behavioral Problems of a Primary School Student

With the aim to explore the therapeutic effect of sandplay therapy on children with emotional and behavioral problems,in this study,a primary school student with emotional and behavioral problems was selected as the research object undergoing 12 times sandplay intervention,combining the methods of observation,interview,and questionnaire.It turns out that:(1)The traumatic theme indicates an overall downward trend in the process of intervention,while the cure theme indicates an overall upward trend.(2)The results of“strengths and difficulties questionnaire”were found to be consistent with the results of descriptive evaluation before and after sandplay intervention.(3)Based on the interview,sandplay,and questionnaire analysis,it is found that sandplay therapy shows a better therapeutic effect on children with emotional and behavioral problems.

An 8-Node Plane Hybrid Element for StructuralMechanics Problems Based on the Hellinger-Reissner Variational Principle

The finite element method (FEM) plays a valuable role in computer modeling and is beneficial to the mechanicaldesign of various structural parts. However, the elements produced by conventional FEM are easily inaccurate andunstable when applied. Therefore, developing new elements within the framework of the generalized variationalprinciple is of great significance. In this paper, an 8-node plane hybrid finite element with 15 parameters (PHQ8-15β) is developed for structural mechanics problems based on the Hellinger-Reissner variational principle.According to the design principle of Pian, 15 unknown parameters are adopted in the selection of stress modes toavoid the zero energy modes.Meanwhile, the stress functions within each element satisfy both the equilibrium andthe compatibility relations of plane stress problems. Subsequently, numerical examples are presented to illustrate theeffectiveness and robustness of the proposed finite element. Numerical results show that various common lockingbehaviors of plane elements can be overcome. The PH-Q8-15β element has excellent performance in all benchmarkproblems, especially for structures with varying cross sections. Furthermore, in bending problems, the reasonablemesh shape of the new element for curved edge structures is analyzed in detail, which can be a useful means toimprove numerical accuracy.

A SINGULAR DIRICHLET PROBLEM FOR THE MONGE-AMPÈRE TYPE EQUATION

We consider the singular Dirichlet problem for the Monge-Ampère type equation■=0,whereΩis a strictly convex and bounded smooth domain in■is positive and strictly decreasing in(0,∞)with■is positive inΩ.We obtain the existence,nonexistence and global asymptotic behavior of the convex solution to such a problem for more general b and g.Our approach is based on the Karamata regular variation theory and the construction of suitable sub-and super-solutions.

Problem Drinking Behaviors: Differential Effects of Stress and School Type on College Students

Given that alcohol use is highly prevalent at US colleges, we explored factors related to problem drinking behaviors (PDB;binge drinking, driving after drinking, sexual intercourse after drinking) among 4098 Black and White students from two- and four-year colleges who completed an online survey. We found an interaction between race and sex such that, among Whites, females had less PDB than males (B = 0.09, CI: 0.05;0.40, p = 0.01). An interaction between race and school type also existed, such that White students from four-year schools had greater PDB (B = 0.11, CI: 0.20;0.54, p < 0.001). An interaction between race and stress suggested that Black students were more negatively affected by stress in terms of PBD (B = 0.12, CI: 0.01;0.07, p = 0.01).

Student Behavior Modeling for an E-Learning System Offering Personalized Learning Experiences

With the advent of computing and communication technologies,it has become possible for a learner to expand his or her knowledge irrespective of the place and time.Web-based learning promotes active and independent learning.Large scale e-learning platforms revolutionized the concept of studying and it also paved the way for innovative and effective teaching-learning process.This digital learning improves the quality of teaching and also promotes educational equity.However,the challenges in e-learning platforms include dissimilarities in learner’s ability and needs,lack of student motivation towards learning activities and provision for adaptive learning environment.The quality of learning can be enhanced by analyzing the online learner’s behavioral characteristics and their application of intelligent instructional strategy.It is not possible to identify the difficulties faced during the process through evaluation after the completion of e-learning course.It is thus essential for an e-learning system to include component offering adaptive control of learning and maintain user’s interest level.In this research work,a framework is proposed to analyze the behavior of online learners and motivate the students towards the learning process accordingly so as to increase the rate of learner’s objective attainment.Catering to the demands of e-learner,an intelligent model is presented in this study for e-learning system that apply supervised machine learning algorithm.An adaptive e-learning system suits every category of learner,improves the learner’s performance and paves way for offering personalized learning experiences.

Children＇s Problem Behaviors During Free Time as an Incentive for the Increase in Social Risks and Health Risks

Since children, as a rule, have more free time than adults, it is adults＇ responsibility to provide children with a chance to spend the time of relaxation, play, and fun in a beneficial way. Unfortunately, children＇s spare time is nowadays very frequently organized for the sake of brushing up children＇s knowledge, skills, and competences, which is accomplished by means of escalating extra-curriculum activities. When expressed by teacher and parents, these ambition-related attitudes pave the way for the disappearance of children＇s personal interests and motivations to perform complicated tasks which are perceived as unwanted or obscure by the affected children themselves. This form of adults＇ behavior may lead to the feelings of frustration, stress, demotivation, or rebellion on behalf of their children. The said emotional states, especially in relation to the lack of spontaneous play, give rise to serious psychic dysfunctions, and the instability of children＇s psychic balance. It may also pave the way for various forms of destructive behavior that mostly characterize children of younger school age who are about to start schooling.

Psycho-cognitive behavioral problems in sleep disordered children

Sleep disturbances are common in childhood and adolescence. Sleep problems in early infants tend to be persistent and prominent in preschool and school-aged children. Chronic sleep disorders, especially in young children may lead to neurobehavioral problems and psycho-cognitive impairment. Sleep difficulties may be the result of underlying medical conditions, （breathing disorders） or psychological problems. Research studies have shown the association between sleep disorders and day time cognitive impairment, behavioral problems, poor school performance and inattention in children. Appropriate diagnosis and early management of sleep disorders in children lead to improvement of neurocognitive function and behavioral problems in these children.

NUMERICAL METHOD OF MIXED FINITE VOLUME-MODIFIED UPWIND FRACTIONAL STEP DIFFERENCE FOR THREE-DIMENSIONAL SEMICONDUCTOR DEVICE TRANSIENT BEHAVIOR PROBLEMS

Transient behavior of three-dimensional semiconductor device with heat conduc- tion is described by a coupled mathematical system of four quasi-linear partial differential equations with initial-boundary value conditions. The electric potential is defined by an ellip- tic equation and it appears in the following three equations via the electric field intensity. The electron concentration and the hole concentration are determined by convection-dominated diffusion equations and the temperature is interpreted by a heat conduction equation. A mixed finite volume element approximation, keeping physical conservation law, is used to get numerical values of the electric potential and the accuracy is improved one order. Two con- centrations and the heat conduction are computed by a fractional step method combined with second-order upwind differences. This method can overcome numerical oscillation, dispersion and decreases computational complexity. Then a three-dimensional problem is solved by computing three successive one-dimensional problems where the method of speedup is used and the computational work is greatly shortened. An optimal second-order error estimate in L2 norm is derived by using prior estimate theory and other special techniques of partial differential equations. This type of mass-conservative parallel method is important and is most valuable in numerical analysis and application of semiconductor device.

ASYMPTOTIC BEHAVIOR FOR A CLASS OF ELLIPTICEQUIVALUED SURFACE BOUNDARY VALUE PROBLEM WITH DISCONTINUOUS INTERFACE CONDITIONS

Spontaneous potential well-logging is one of the important techniques in petroleum exploitation. A spontaneous potential satisfies an elliptic equivalued surface boundary value problem with discontinuous interface conditions. In practice, the measuring electrode is so small that we can simplify the corresponding equivalued surface to a point. In this paper, we give a positive answer to this approximation process:when the equivalued surface shrinks to a point, the solution of the original equivalued surface boundary value problem converges to the solution of the corresponding limit boundary value problem.

Emotional and Behavioral Problems of Left-Behind Children in Impoverished Rural China:A Comparative Cross-Sectional Study of First Grade Junior High School

Objective:To investigate the prevalence of emotional and behavioral problems and related factors of left-behind children in impoverished rural China(mainly in thefirst grade of junior high school).Methods:A cross-sectional survey of rural households in 27 poverty-stricken counties in 12 provinces across China was conducted using the Strengths and Difficulties Questionnaire(SDQ).Results:The prevalence of emotional and behavioral problems in left-behind children was 11.7%,and that of non-left-behind children was 8.9%.There was statistical difference between the two groups(P<0.01).There are no differences between the two groups in terms of the various factors of SDQ.The incidence of insomnia in the left-behind group was 58.3%,which was higher than that in the non-left-behind group 50.9%(P<0.01);loneliness(62.1%vs.51.8%,P<0.01);running away from home(23.1%vs.18.8%,P<0.01),and self-injury behavior(16.8%vs.12.2%,P<0.01).Left-behind children are more likely to have negative psychological feelings including insomnia,loneliness,self-injury,and run away from home.They also experienced more bullying including maliciously teased by peers,intentionally excluded or isolated,physically threatened or intimidated.All of these factors are associated with their abnormal emotional and behavioural development.Conclusion:The incidence of emotional and behavioral problems of left-behind children in rural areas in poverty-stricken areas is significantly higher than that of non-left-behind children;Logistic regression analysis showed that bullying behavior and abnormal psychological characteristics are significantly associated with left-behind adolescents abnormal emotional and behavioral development.

The Relationship between Problem Behavior and Neurotransmitter Deficiency in Adolescents

This study examined the association of problem behavior with neurotransmitter deficiency in adolescents,which would provide new insights into behavioral problems.A total of 1259 students of the seventh grade from 4 middle schools in Wuhan city located in the central China were recruited.With the approval of school and parents,they were invited to complete the Youth Self-Report (YSR) questionnaire and Symptom Scale of Neurotransmitter Deficiency (SSND) questionnaire.Pearson’s bivariate correlation analysis showed that the correlation coefficients between each subscale of YSR and SSND ranged from 0.24 to 0.61 with all P【0.01.Canonical correlation analysis indicated that anxiety/depression was interrelated with insufficiency of GABA and 5-HT;aggressive behavior was associated with inadequate GABA;famine of DA influenced the attention problems.It was concluded that neurotransmitter deficiency may cause a series of behavioral and mental problems.

CHILD'S BEHAVIOR PROBLEMS COMPUTER SCREENING SYSTEM AND IT'S APPLICATION

To programming one Child's Behavior Problems Computer Screening System (CBPCSS), a series of software for analyzing child behavior individual and group sample. According to the worldfamous American ACHENBACH child's behavior checklist, to ensure the screening quality and compatibility of cultures, we revised and standardized the norms of different ages in primary schools and nursery schools in various cities based on the principle of cluster stratified sampling. Then we designed CBPCSS carefully. The system can reliably and rapidly screen an individual child behavior and output the behavior factor curve (appearing in front of the profile). With CBPCSS we can observe the child behavior clearly. It takes twenty times shorter than that of manual screening. On the other hand, CBPCSS has a function of group analysis. The clinical practice proved that CBPCSS could substitute for manual screening completely. It is a powerful tool for social, scientific and pediatric medical workers.

STUDY ON INTELLIGENT DEVELOPMENT AND BEHAVIORAL PROBLEMS OF IRON－DEFICIENT SCHOOL CHILDREN

we studied a sample or 433 school children aged 6～14 years with double-blind, placebocontrol.Children Behavior Checklist (CBCL),Conner's questionnaire in all sample and WISC-CR intelligent test in part of it were performed.The study aimed to explore the behavioral and intelligent effects or iron deficiency on school children. The results showed:in the children with poor intellgent quotien (IQ) tested by WISC-CR serum ferritin level was significantly lower than that in the children with normal to (P<0. 01);with analysis or stepwise multiple regression for behavioral problem of children, serum ferritin (SF),free erythroyte protoporphyrin (FEP) and hemoglobin (HB) were taken into the equation suggesting that iron-dericient biochemical index had significant effect on behavioral problem or school children. With factor analysis of Conner's questionnaire, different factor structure between the iron-deficient and normal group was revealed. Therefore,irondeficient group had higher learning problem than normal group.After treatment using iron dextran the differences in the learning problem between the two groups disappeared.

Machine Learning Enabled e-Learner Non-Verbal Behavior Detection in IoT Environment

Internet of Things(IoT)with e-learning is widely employed to collect data from various smart devices and share it with other ones for efficient e-learning applications.At the same time,machine learning(ML)and data mining approaches are presented for accomplishing prediction and classification processes.With this motivation,this study focuses on the design of intelligent machine learning enabled e-learner non-verbal behaviour detection(IML-ELNVBD)in IoT environment.The proposed IML-ELNVBD technique allows the IoT devices such as audio sensors,cameras,etc.which are then connected to the cloud server for further processing.In addition,the modelling and extraction of behaviour take place.Moreover,extreme learning machine sparse autoencoder(ELM-SAE)model is employed for the detection and classification of non-verbal behaviour.Finally,the Ant Colony Optimization(ACO)algorithm is utilized to properly tune the weight and bias parameters involved in the ELM-SAE model.In order to ensure the improved performance of the IML-ELNVBD model,a comprehensive simulation analysis is carried out and the results highlighted the betterment compared to the recent models.

Social Skills and Behavioral Problems in Adolescents with Child Sexual Abuse, and Their Relation to Basal Cortisol

Child sexual abuse (CSA) is a stressful associated with alterations in the hypothalamic-hypophyseal-adrenal (HPA) axis and behavioral problems. Children and adolescents with history of CSA could have higher cortisol levels, as these have been associated with deleterious changes in brain regions involved in controlling social behavior and self-control. The aim of the present study was to determine the relationship among basal cortisol levels, social skills and behavioral problems in adolescents with CSA by evaluating two groups: one consisting of 12 - 15-year-old girls with CSA (n = 23), the other healthy comparison adolescents with no history of child abuse (n = 23). Social skills and behavioral problems were assessed using the Social Skills Improvement System. Three saliva samples were collected from each participant. The girls with CSA had lower social skills and more behavioral problems, as well as, higher cortisol concentrations. Besides, these participants showed significant negative correlations among cortisol levels and social skills, as well as, positive correlations with behavioral problems scales. It is feasible to suggest that the social deficiencies observed in these participants with CSA are related to alterations of the HPA.