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In recent years, with the acceleration of urbanization and the implementation of compulsory education, the pressure on students' study and life has increased, and the phenomenon of psychological and behavioral problems has become increasingly prominent. Therefore, the school has regarded students' mental health education as the top priority in teaching work. Effective expression classification can assist psychology researchers to study psychology and other disciplines and analyze children's psychological activities and mental states by classifying expressions, thereby reducing the occurrence of psychological behavior problems. Most of the current mainstream methods focus on the exploration of text explicit features and the optimization of representation models, and few works pay attention to deeper language expressions. Metaphors, as language expressions often used in daily life, are closely related to an individual's emotion, cognition, and psychological state. This paper studies children's smiling face recognition based on deep neural network. In order to obtain a better identification effect of mental health problems of children, this paper attempts to use multisource data, including consumption data, access control data, network logs, and grade data, and proposes a multisource data-based mental health problem identification algorithm. The main research focus is feature extraction, trying to use one-dimensional convolutional neural network (1D-CNN) to mine students' online patterns from online behavior sequences, calculate abnormal scores based on students' consumption data in the cafeteria, and describe the dietary differences among students. At the same time, this paper uses the students' psychological state data provided by the psychological center as a label to improve the deficiencies caused by the questionnaire. This paper uses the training set to train five common classification algorithms, evaluates them through the validation set, and selects the best classifier as our algorithm and uses it to identify students with mental health problems in the test set. The experimental results show that precision reaches 0.68, recall reaches 0.56, and F 1 -measure reaches 0.67. [ABSTRACT FROM AUTHOR]

This paper presents an in-depth study and analysis of students' role perceptions and their tendencies in classroom education using a visual inspection approach. A multi example learning student engagement assessment method based on a one-dimensional convolutional neural network is proposed. Based on the conceptual composition of student engagement, head posture, eye gaze, and eye-opening and closing states and the most used facial movement units are used as visual features. For feature extraction, the proposed view of relative change features, based on the video features extracted from the Open Face toolset, the standard deviation of the distance between adjacent multiple frames relative to the center point of the three visual features is used as the relative change features of the video. This results in the phenomenon that students are highly motivated in the early stage and significantly increase the rate of absenteeism in the later stage. With the development of information technology injecting new vitality into educational innovation, many researchers have introduced computer vision and image processing technology into students' online learning activities, and understand students' current learning situation by analyzing students' learning status. There are relatively few studies in this area in classroom teaching. Considering the low relative position correlation of the features in the examples, the examples are analyzed using a one-dimensional convolutional neural network to obtain the example-level student engagement, and a multi-example pooling layer is used to infer the student engagement in the video from the example-level student engagement. Finally, the experimental method is used to apply the student classroom attention evaluation detection system to actual classroom teaching activities, and the effectiveness and accuracy of the design of the student classroom attention evaluation detection system are investigated in depth through specific applications and example analysis, and the accuracy of the method of this paper is further verified by communicating feedback with teachers and students in the form of interviews. [ABSTRACT FROM AUTHOR]

This paper adopts the method of psychological data analysis to conduct in-depth research and analysis on the correlation between teachers' classroom teaching behaviors and students' knowledge acceptance. Firstly, this paper proposes a health factor prediction model, which is specifically divided into clustering and then classification model and a clustering and classification synthesis model. The classroom learning process is coded, sampled, and quantified to obtain data on students' learning behaviors, and a visualization system based on classroom students' learning behaviors is designed and developed to record and analyze students' behaviors in the classroom learning process and grasp students' classroom learning. These two models use algorithms to fine-grained divide the dataset from the perspective of subject users and mental health factors, respectively, and then use decision tree algorithms to classify and predict the mental health factor information by the subject user base information. Second, based on the collected datasets, we designed comparison experiments to validate the clustering-then-classification model and the integrated clustering-classification model and selected the optimal model for comparison. Teachers should increase effective praise and encouragement behaviors; teachers should increase meaningful teacher-student interaction behaviors; teachers should be proficient in teaching media technology to reduce unnecessary time wastage. Strategies to enhance teachers' TPACK include enriching teachers' knowledge base of CK, TK, and PK; developing teachers' integration thinking; and enriching teachers' types of activities for integrating technology. [ABSTRACT FROM AUTHOR]

This paper conducts an in-depth study and analysis of the practice and application of teaching English pronunciation to children using AR (augmented reality) game assistance. The article analyzes the design of AR educational games based on the concept of learning behavior input, clarifies and determines the factors influencing students' learning behavior input in AR gamified teaching environment, and proposes the design principles of AR educational games based on learning behavior input. By analyzing the characteristics of experiential learning and AR, the model of AR-based English experiential learning activities for elementary school is established. Based on certain demand analysis, the AR software that can be used for teaching pronunciation in elementary school English classrooms was designed and developed using Unity3D and 3ds Max software. The experimental method was used to compare and apply the software in the target school, and the students of elementary school X were selected as the experimental subjects. The data were analyzed with the help of SPSS and NVivo software, and the questionnaire was used to measure the "ease of use," "usefulness," and "satisfaction with the software." The questionnaire was used to measure students' acceptance of AR software in three dimensions: "ease of use," "usefulness," and "satisfaction with the software." [ABSTRACT FROM AUTHOR]

This paper constructs an evaluation model of occupational competency in rehabilitation therapy and applies it to the improvement of college students' innovative and entrepreneurial competencies. Based on clarifying the connotation of college students' entrepreneurial competency, this study carries out research on the evaluation system of college students' entrepreneurial competency. First, the method of qualitative research is used to conduct in-depth interviews with college students and entrepreneurial mentors to understand the views of these groups on college students' entrepreneurial competency, and the coding of the interview contents is carried out by applying the rooting theory, and finally, a theoretical model of the composition of college students' entrepreneurial competency is derived. The front-line position of talent cultivation is the construction of faculty, because the faculty with high-quality vocational ability is an indispensable prerequisite for the development of universities, and the teaching level of the faculty is the key factor for the effectiveness of teaching to appear. Based on the perspective of role theory, we analyze the problems and reasons for the lack of competency in the role-playing process; integrate the three stages of understanding the role, playing the role, and adjusting the role with the competency model; and propose strategies to improve the competency of youth social workers in the process of playing the role, to help workers accurately understand the role, correctly play the role, and reasonably adjust the role. The curriculum is designed to cultivate the competency of college student nursing positions, which is conducive to improving the professional quality of college student nursing service providers and regulating college student nursing practice so that they can actively respond to problems. This will strengthen the entire teaching faculty and enhance the professional competence of full-time teachers. [ABSTRACT FROM AUTHOR]

With a shift in moving towards the 4th industrial revolution, digital storytelling has been identified as a novel way of facilitating teaching and learning. This paper will be aimed at offering an understanding of the experience and perspective of occupational therapy students in using digital storytelling as a reflective tool as an assignment as part of their undergraduate and masters occupational therapy curriculum at a university in South Africa. A descriptive qualitative study was undertaken, and five participants were purposively recruited. Individual semistructured interviews were conducted as well as a focus group with participants. An inductive analysis revealed two themes: Reflections on relevance within the occupational therapy curriculum and Is technology the new direction? The findings conclude that digital storytelling as a medium to showcase reflections on identifying formation was an innovative and novel way of documenting the reflective experiences of occupational therapy students. [ABSTRACT FROM AUTHOR]

This paper provides an in-depth research analysis of occupational therapy strategies and psychological regulation of students' Internet addiction in the existing mobile social media environment. Based on the definition of Internet use peer pressure, a preliminary scale with 2 dimensions of specific behavioral pressure and psychological cognitive pressure was developed. First, a professor of mental health education and a master's degree student in mental health education were invited to rate the scale, while 47 junior high school students were selected to try the scale to ensure that the questions of the scale were clearly expressed. Secondly, 461 subjects were selected to take the initial test of the scale, and item tests and exploratory factor analysis were conducted to ensure that the structure of the scale was as expected and the scale was expressed to psychometric standards. Finally, 810 subjects were selected for the scale retest, and item analysis and validated factor analysis were conducted, and their results met the psychometric criteria. Student peer attachment significantly and positively predicted adolescent Internet addiction; Internet use peer pressure played an incomplete mediating role in the prediction of peer attachment to Internet addiction; loneliness played a moderating role in the pathway of peer attachment to Internet addiction, and loneliness also played a moderating role in the pathway of peer attachment to Internet use peer pressure. The attitude towards online games is entertainment to kill time, a tool to escape the pressure of study and to gain the fun of friends comparing with each other. The main online motivations of adolescents included individual and situational factors, and behaviors were characterized by pan-entertainment and gamification, mainly through mobile social networks to obtain external information and knowledge, maintain interpersonal relationships, and gain a sense of belonging; they were characterized by a fixation on time, space, and online content. The interaction of family members is more of a behavioral habit, and the communication habits and behavior patterns established in the family will influence the construction of children's relationships with others, while parents' head-down behavior will also influence children's attention to various needs of an Internet-dependent behavior problem, which in turn affects children's problem-solving and intimate relationships with family members. [ABSTRACT FROM AUTHOR]

Coaching, an evidence-based approach in other fields, is relatively novel within occupational therapy (OT) and is not yet widely taught in OT programs. In recent studies, experienced occupational therapists have reported that coaching added value to their practice, but OT students' perspectives are missing from the literature. This phenomenological study explored OT students' (n = 14) perceptions of the value of learning to coach while in fieldwork. Three themes emerged from the inductive qualitative analysis: Coaching Requires a Mindset Shift, Change is a Journey, and Impact on Clients. Occupational therapy students perceived that coaching required a different way of thinking and reimagining their role, saw the value of learning to coach in the clients' outcomes, and recognized the potential for their future practice regardless of settings. The study findings suggest that incorporating coaching skills into OT education could be beneficial to students when they enter the profession. [ABSTRACT FROM AUTHOR]

Objective. The Pediatric Quality of Life Inventory (PedsQL™) 4.0 is a health-related quality of life (HRQOL) measure designed for clinical practice and research, health policy evaluation, and general population surveys. There is a dearth of instruments measuring quality of life in children which are available in Chinese and validated for Chinese populations. Therefore, this study attempted to establish the Hong Kong populations' norms for the Chinese version of PedsQL™ and examined the psychometric properties of the measure for this population. Methods. Sixty-nine children (aged 7 to 12 years) and their parents completed the child self-report and the parent proxy report, respectively, of the PedsQL™ 4.0 Generic Module. To evaluate construct validity, a group comparison of children with special educational needs (SEN) (n = 21) and those with typical development (TD) (n = 48) was conducted. Differences based on age group and gender and parent–child agreement on the perception of the child's HRQOL were also examined. Results. Children with SEN had a lower quality of life perception than those with TD in the physical, social, and schooling domains. No significant differences in emotional health were found between the two groups. The differences between the children with SEN and with TD varied based on age group and gender. The differences between the parents' and children's perceptions of the children's HRQOL were insignificant in this sample. Conclusion. Norms for the Chinese version of the PedsQL™ 4.0 Generic Module for the Hong Kong population were established in the study, and both the child self-report and parent proxy report were found to be reliable and valid for this population. [ABSTRACT FROM AUTHOR]

This study attempts to disclose the relationship between self-esteem, interpersonal trust, and social anxiety of college students and provide an empirical reference for enhancing their self-esteem, cultivating their interpersonal trust, and reducing their social anxiety. Specifically, 673 college students were randomly sampled and measured against the self-esteem scale (SES), interpersonal trust scale (TS), and interaction anxiousness scale (IAS). The results show that self-esteem does not vary significantly with genders and origins; social anxiety does not vary significantly with origins but differs significantly between genders; the social anxiety of males is much lower than that of females; interpersonal trust differs significantly between genders and between origins. Self-esteem is significantly correlated with interpersonal trust (r = 0.22 , p < 0.01). Social anxiety has a significant negative correlation with self-esteem (r = − 0.17 , p < 0.01) and with social anxiety (r = − 0.26 , p < 0.01). Interpersonal trust partly mediates the relationship between self-esteem and social anxiety. These findings provide a theoretical basis for enhancing and improving mental health education of college students. [ABSTRACT FROM AUTHOR]

With the development of information technology, the status of the traditional teaching method combining chalk and blackboard is declining. People need a novel teaching method to reform traditional education, so the hybrid teaching mode combining the advantages of both is produced and has become a major research hotspot in the field of education technology at present. Further accelerating the reform of innovation and entrepreneurship teaching in higher education institutions and improving students' innovation and entrepreneurial ability based on big data technology are the fundamental measures to do a good job in managing college students' entrepreneurship and employment. Therefore, the reform of dual-innovation education in colleges and universities has become a research hotspot in recent years. How to combine the two aforementioned research hotspots in order to improve college students' dual-innovation ability is a key issue that needs to be solved urgently. College students' innovation and entrepreneurship practice is in full swing in colleges and universities, but the success rate of college students' entrepreneurship is not high. In order to promote the development of college students' entrepreneurial practice, colleges and universities can give them the necessary help. Integrating the content of "dual innovation" education with big data technology into the ideological and political education of college students can not only improve the ideological and political quality and moral and psychological quality of college students but also convey the relevant legal policies of innovation and entrepreneurship to college students. Today's society has entered the Internet era, the resource of information technology, and the rapid development of the Internet which provides good technical support and rich content choices for the innovation of ideological and political education of college students in the context of "dual innovation," but it also poses new challenges for the ideological and political education of college students. By studying the exercise data of groups at all levels in the campus, we analyze and compare the overall exercise situation of each type of group and explore and study the overall exercise situation of various classes, grades, schools, etc., to understand the physical activity. We can build a group of ideological and political education teachers with innovative and entrepreneurial literacy based on big data analysis. Only in this way can the ideological and political education of college students really give some help to the practice of innovation and entrepreneurship of college students and stimulate the potential of innovation and entrepreneurship of college students from a deeper level. [ABSTRACT FROM AUTHOR]

Background/Aim. One way to facilitate occupational therapy undergraduate students transferring their academic skills of data gathering and analysis to professional settings is to ensure they can competently use diagnostic reasoning. Nevertheless, there are several obvious gaps in empirical evidence related to the learning and development of this style of reasoning in occupational therapy undergraduates. The most important are related to promoting higher-order thinking and the use of information to solve problems in the context of professional practice. This study analyses undergraduates' diagnostic reasoning and its changes during their education. Materials and Methods. This multicentre study was conducted with a descriptive observational design. The study took place at the University of Coruña (Spain), University of Castilla-La Mancha (Spain), and University of el Valle (Colombia). The sample was n = 247. For data collection, a clinical case was specifically designed. IBM SPSS Statistics (v19) and EPIDAT 3.1 were used for the data analysis. Results. Participants identified and categorized occupational performance problems. However, they had difficulties when identifying and categorizing the occupational performance components (specifically, the symptoms and signs of the disease presented in the study case). They presented limitations to analyse and synthesize the information collected to develop an explanation of the occupational problems and their causes. Conclusions. Undergraduate students' ability to analyse and synthesize information during data collection is poorly organized, so it makes the problem formulation difficult. This study contributes to the knowledge of undergraduates' diagnostic reasoning features, specifically the undergraduate students' capacities and limits to process information during the occupational assessment. [ABSTRACT FROM AUTHOR]

This study aimed to examine how and to what extent future anxiety contributes to the level of professional decision-making skills among Syrian refugee students in the tenth grade in public schools in Jordan for the year 2018/2019. Using a quantitative approach, 227 tenth-grade Syrian refugee students in public schools in the University Brigade Institute of the Ministry of Education in Jordan were measured on scales of future anxiety and professional decision-making. The results showed that the level of future anxiety was high, while the level of professional decision-making was moderate. In addition, the results showed that there were statistically significant differences in the future anxiety depending on gender (i.e., male/female) and achievement level (i.e., high achievement/low achievement), whereas for professional decision-making, there were differences depending on gender but not achievement level. Finally, it showed that future anxiety is predictive of professional decision-making skills. [ABSTRACT FROM AUTHOR]

This study compared growth-facilitating and growth-constraining experiences of practice placements as perceived by occupational therapy students from Japan and the United Kingdom (UK). Fifteen students from Japan and 14 from the UK used a nominal group technique (NGT) to rank, individually and in groups, their subjective learning experiences during practice placements. Qualitative analysis and simple tabulation based on ranking of items obtained in the NGT were performed. Five item categories were identified from both Japanese and UK students: self-reflection, the role of supervisor, sense of responsibility, clinical knowledge and skills, and time management. Results showed that all students perceived opportunities for self-reflection and feedback from supervisors as growth facilitating and students' passive attitudes towards requirements of practice placements as growth constraining. Country-specific differences between students were observed in clinical knowledge and skills, sense of responsibility, and time management. Japanese students perceived that preparatory study led to successfully treating clients during placement, and they tended to commit to placement assignments at the expense of time outside. UK students valued working independently with a sense of responsibility but considered time-management problems within their placement hours as growth constraining. These differences can be explained by different social norms and expectations of students from Japan and the UK. [ABSTRACT FROM AUTHOR]