Search

Background: Autism spectrum disorder (ASD) is a multifactorial, pervasive, neurodevelopmental disorder, of which intestinal symptoms collectively represent one of the most common comorbidities. Methods: In this study, 1,222 children with ASD and 1,206 typically developing (TD) children aged 2-7 years were enrolled from 13 cities in China. Physical measurement and basic information questionnaires were conducted in ASD and TD children. The Childhood Autism Rating Scale (CARS), Social Responsiveness Scale (SRS), and Autism Behavior Checklist (ABC) were used to evaluate the clinical symptoms of children with ASD. The six-item Gastrointestinal Severity Index (6-GSI) was used to evaluate the prevalence of intestinal symptoms in two groups. Results: The detection rates of constipation, stool odor, and total intestinal symptoms in ASD children were significantly higher than those in TD children (40.098% vs. 25.622%, 17.021% vs. 9.287%, and 53.601% vs. 41.294%, respectively). Autistic children presenting with intestinal comorbidity had significantly higher scores on the ABC, SRS, CARS, and multiple subscales than autistic children without intestinal symptoms, suggesting that intestinal comorbidity may exacerbates the core symptoms of ASD children. Conclusion: Intestinal dysfunction was significantly more common in autistic than in TD children. This dysfunction may aggravate the core symptoms of children with ASD.

We propose a novel model, Wide & Deep Item Response Theory (Wide & Deep IRT), to predict the correctness of students' responses to questions using historical clickstream data. This model combines the strengths of conventional Item Response Theory (IRT) models and Wide & Deep Learning for Recommender Systems. By leveraging clickstream data, Wide & Deep IRT provides precise predictions of answer correctness while enabling the exploration of behavioral patterns among different ability groups. Our experimental results based on a real-world dataset (EDM Cup 2023) demonstrate that Wide & Deep IRT outperforms conventional IRT models and state-of-the-art knowledge tracing models while maintaining the ease of interpretation associated with IRT models. Our model performed very well in the EDM Cup 2023 competition, placing second on the public leaderboard and third on the private leaderboard. Additionally, Wide & Deep IRT identifies distinct behavioral patterns across ability groups. In the EDMCup2023dataset, low-ability students were more likely to directly request an answer to a question before attempting to respond, which can negatively impact their learning outcomes and potentially indicates attempts to game the system. Lastly, the Wide & Deep IRT model consists of significantly fewer parameters compared to traditional IRT models and deep knowledge tracing models, making it easier to deploy in practice. The source code is available via Open Science Framework.

This study examined the program effectiveness of Health Rocks!, a youth substance use prevention program. Merging data from 128,544 youth participants in 21 states between 2009 and 2021, this study compared self-reported levels of knowledge, skills, and internal and external assets before and after the program. Youth reported significant increases in substance use knowledge, stress-coping skills, and assets to make healthy life decisions across eleven years. The magnitude of effects varied by individual characteristics, including gender, school grade level, race, ethnicity, and residence. We provide recommendations for the evaluation of substance use prevention program effectiveness.

This study aimed to investigate how English teachers' identity (ETI) levels vary based on different sociodemographic backgrounds in Algeria. To this end, a survey research design was adopted by utilizing a questionnaire as research instrument: The first of section elicits information about teachers' background information, including age, professional title, teaching experience, leadership position, salary level, and family condition. The second section is Yan's (2024) 19-item English Teacher Identity Measure (ETIM) to measure the teachers' levels of ETI, which consists of four indicators: self-efficacy (SE), future perspective (FP), teacher belief (TB), and career perception (CP). By using convenience sampling, an online questionnaire was emailed to 170 tertiary EFL teachers from different regions in Western Algeria, and 105 teachers voluntarily participated in this study. 30 of them participated in the pilot study and the remaining 75 teachers' responses were analyzed using SPSS. The data revealed significantly different ETI levels according to years of teaching experience. The findings showed that teachers who scored the lowest ETI levels were PhD holders, lecturers, teachers of the 1980s generation and middle-level leaders. This study informs teacher management and teacher educators of those particular teacher groups that need more support.

This study aimed to explore the effectiveness of learning the Chinese Proficiency Test (HSK) 1 reading course through the Udemy platform and assess the learner's satisfaction with learning the Chinese course on the Udemy platform. The participants were 30 zero-foundation learners with minimal exposure to basic Chinese expressions and were randomly selected from those enrolled in the Chinese course on Udemy. The pretest and post-test were designed for this study, and the researchers sent the satisfaction survey to the Chinese language learners to investigate the learners' satisfaction. The findings revealed that the students' post-test scores were significantly higher than the pretest scores; the current online Chinese language courses benefit students in learning the language. The satisfaction survey results showed that learners were satisfied with learning Chinese courses on the Udemy platform.

Psychological crisis intervention is a critical aspect of mental health education. A case study is present on the psychological crisis resulting from academic pressure among graduate students and the use of the Satir model is proposed for crisis intervention. Additionally, there are recommended to strengthen life and frustration education for graduate students, emphasize the importance of training graduate tutors in mental health knowledge and skills, assist graduate students in improving their mental resilience, and enhance their interpersonal skills.

The Dong Pipa, a traditional Chinese musical instrument, is a significant element of the Dong ethnic group's cultural heritage. The objective is to investigate the historical development of the Dong Pipa, a traditional Chinese musical instrument, in literacy functions and educational occasions. The research was conducted in Liping, Congjiang, and Rongjiang counties in Guizhou Province, Tongdao County in Hunan Province, and Sanjiang in the Guangxi Zhuang Autonomous Region. Two key informants and four casual informants, including national transmitters and experts in Dong Pipa music, were interviewed, and data were gathered through fieldwork, interviews, and observations. The analysis focused on the integration of the Dong Pipa into educational settings and its role in fostering cultural literacy. The results indicate that the Dong Pipa has played a dynamic role both historically and in contemporary times, contributing significantly to cultural transmission and education. The study suggests that incorporating traditional instruments like the Dong Pipa into modern educational practices can enhance cultural literacy and support preservation efforts.

The purpose of this study is to investigate challenges and tensions encountered by university supervisors working with student teachers in dual language immersion (DLI) settings. Despite the growth of Utah's statewide DLI program, Utah university teacher programs have few faculty members familiar with the partner cultures and languages of Utah's DLI model. Drawing from a larger multiple case study, this study examines three non-Chinese university supervisors' written reflections and focus group transcripts during supervision in Chinese DLI classrooms. Findings suggest the challenges and tensions encountered by these supervisors were not just cultural in nature; at times, university supervisors were unfamiliar with the DLI model and/or unsure of whether challenges were products of cultural differences, the DLI program, or other influences.

Teacher identity is the reflection of teachers' perception, position, and identification as teachers. Teachers' identities are dynamic and continuously negotiated by the interplay of their professional practices, past experiences, and contextual conditions. Drawing on this understanding, this study explores Chinese English teachers' professional identities within a private English institution in China. Research data was collected through semi-structured interviews with six Chinese English teachers from one private English institution. Interview data was analysed thematically. The study results revealed common teacher identities as advocates of learner autonomy, struggling teachers for higher-level students and sources of students' learning motivation. Specifically, teachers were challenged in cultivating autonomous students by institutional and sociocultural contextual obstacles. They were also in a challenging situation to improve the effectiveness of teaching higher level students. However, teachers exhibited positive perceptions towards their influence on students' learning motivation reflected in their effort to actively establish teacher-student relationships and utilize facilitative teacher roles. The research findings suggest the need for designing more effective teacher trainings, improving teachers' working conditions and a call for re-evaluating English language learning among Chinese students.

Teacher career plateaus hinder the high-quality development of teaching staff. Based on a nationwide questionnaire survey on Chinese kindergarten teachers' career plateaus, this study developed a kindergarten teacher career plateauing structural model. The research findings indicate that overall career plateauing among Chinese kindergarten teachers is at a moderate level. The kindergarten teacher career plateauing model is best represented by the second-order single-factor/first-order three-factor structure, which consists of three dimensions: professional development, hierarchical, and emotional plateauing. Among these dimensions, emotional plateauing is most intensively perceived by teachers. Telltale signs of kindergarten teacher career plateauing range from stagnation of professional progress to losses of senses of meaning in work, constrained promotion of professional titles, slim chances of promotion to higher positions, fading positive emotional engagement, and increased negative workplace emotions. Implications of the study for building a professionalized preschool teaching force include emphases on teachers' long-range career planning and their agency in career advancement. Special attention should be paid to their emotional needs. [Note: The page range (3123-3148) shown on the PDF is incorrect. The correct page range is 3123-3147.]

This research aims to examine the mediation effect of teaching behaviour in the relationship between teachers' transformational leadership practices and students' interest in science. A non-experimental quantitative approach was used, with a total of 250 students from secondary private schools in Malaysia participating voluntarily as respondents in the study. Google Form questionnaires were distributed through email for data collection. The findings indicated significant positive associations between teachers' transformational leadership practices, teaching behaviour, and students' interest in science, as revealed by correlation and regression analyses. Mediation analysis demonstrates that teachers' teaching behaviour partially mediates the relationship between transformational leadership and students' interest in science. This study emphasizes the importance of effective teaching behaviour in fostering students' interest in science, providing valuable insights for educational policymakers, school administrators, and teachers in promoting science education and improving students' academic achievement.

Science teachers play a crucial role in the science education system, significantly influencing the development of students. However, existing research highlights issues such as a wide age span and uneven quality among science teachers, which undermines the effectiveness of science education. In addition, the role of science teachers can be ambiguously defined, leading to confusion about their responsibilities. To better understand the current situation and future development trend of research on the role of science teachers in China and overseas, this study compares and analyses a total of 30 documents on the role of science teachers in Chinese or English. The documents were from Web of science or CNKI databases. Content analysis was applied on time of publication, volume of papers, research topic, and similarities and differences of the role development of science teachers in China or overseas. Results show that: (1) At present, the development trend of research on the role of science teachers published in English and Chinese is relatively slow and has not received due attention. Most mainstream research paradigms are still in the stage of theoretical exploration; (2) the research theme of the role of science teachers mainly includes five aspects: Role expectation, role orientation, role identification, role transformation, and role; (3) the "should be" research published in Chinese and the "real" research published in English should be combined and form a positive interaction. This study is helpful to systematically analyze the current situation of research on the role of science teachers, with a view to providing a basis for subsequent research on the role of science teachers.

Online learning became a necessity in many places during the COVID-19 pandemic. In the case of Hong Kong SAR, the pandemic provided a unique opportunity to establish blended learning as a norm. The authors discuss the insights and challenges related to delivering mathematics lessons online in a secondary school during and after the pandemic. A three-year-long case study was conducted to examine the differences in perceptions between a teacher and his five students regarding online mathematics instruction during the suspension of traditional in-class lessons in 2020 and after the resumption of traditional instruction in 2023. The Social-Ecological Approach with domains of structure, agency, and cultural practice was applied in the study, which investigated the perceived benefits of blended learning for both the students and the teachers. Data was collected via interviews. The study explored technological challenges, curriculum adaptations, and the impact of parental support on blended learning. Looking ahead, leveraging motivators like easy access while mitigating distractors through disciplined strategies can optimize blended learning environments. The insights gained from this study provide valuable guidance on the effectiveness of instructional strategies and technological tools, highlighting the features of best practices for future blended learning approaches. Furthermore, the paper provides valuable information for policymakers, educators, and educational technology developers.

Recent advances in Artificial Intelligence (AI) have brought society closer to the long-held dream of creating machines to help with both common and complex tasks and functions. From recommending movies to detecting disease in its earliest stages, AI has become an aspect of daily life many people accept without scrutiny. Despite its functionality and promise, AI has inherent security risks that users should understand and programmers must be trained to address. The ICE (integrity, confidentiality, and equity) cybersecurity labs developed by a team of cybersecurity researchers addresses these vulnerabilities to AI models through a series of hands-on, inquiry-based labs. Through experimenting with and manipulating data models, students can experience firsthand how adversarial samples and bias can degrade the integrity, confidentiality, and equity of deep learning neural networks, as well as implement security measures to mitigate these vulnerabilities. This article addresses the pedagogical approach underpinning the ICE labs, and discusses both sample activities and technological considerations for teachers who want to implement these labs with their students.

This study utilized the SEC (Survey of Enacted Curriculum) method to examine the alignment between Chinese high school chemistry curriculum standards (HSCCS) and the assessment of 'Chemical Reaction Principles' in the National College Entrance Examinations (NCEEs). The HSCCS and NCEEs were coded into two-dimensional matrices separately using SPSS, MATLAB, and EXCEL. The alignment coefficients were analyzed both macroscopically and specifically based on two dimensions: themes and cognitive levels. The findings indicated a generally low alignment between NCEEs and HSCCS in the 'Chemical Reaction Principles' domain, and no statistically significant alignment was observed. Comparing Porter alignment coefficients revealed a gradual increase in the overall alignment level between 2018-2022 NCEEs and HSCCS due to curricular reforms. Further specific analyses and comparisons highlighted significant discrepancies between NCEEs and HSCCS concerning themes and cognitive levels. Regarding themes, 'Ionic Reactions and Equilibrium in Aqueous Solutions' showed substantial alignment between NCEEs and HSCCS. However, for 'Application of Ionic Reactions and Equilibrium' and 'Systems and Energy,' NCEEs diverged significantly from or exceeded HSCCS requirements. Concerning cognitive levels, NCEEs demanded higher levels of student cognition compared to HSCCS.

Objective: This study examined children's representations of the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) as well as their pandemic experiences against the backdrop of the world having transitioned to normalcy. Design: Mixed-methods approach encompassing both qualitative and quantitative analysis. Setting: Two middle schools in Hefei city in mid-eastern China. Method: Data were collected using a qualitative task which elicited children's drawings, commentaries, answers to questions related to their pandemic experiences, followed by small-group interviews. Content analysis and emergent coding techniques were employed to analyse the data, the extracted themes of which were then quantified to reveal their incidence and distribution. Results: Analysis of the multimodal data set revealed children not only depicted viral morphology but also evoked emotions. The pandemic had brought about changes in children's lives, marked by a shift towards more academic activities, rest and relaxation and screen time. These changes also raised psychological, physical and social development concerns warranting mitigation. Multifaceted sources were identified as contributing to children's unhappiness, including restricted social interactions, educational challenges, emotional and psychological issues. Notably, children reported enhanced pre- to post-pandemic hygiene and sanitisation practices. Unsubstantiated beliefs relating to processes of recovery suggest the need for clearer communication in this regard. Conclusion: The study highlights the necessity for health education to support children in physical and psychological coping during a pandemic and build their resilience against future epidemics. Actively listening to children's account of the SARS-CoV-2 coronavirus, and their pandemic experiences paves the way for making health education initiatives more relatable and attuned to their needs.

Objectives: Previous studies have widely demonstrated that inhibition of return (IOR) with audiovisual targets decreases due to audiovisual integration (AVI). It is currently unclear, however, whether the impaired AVI in children with ADHD has effects on IOR. The present study used the cue-target paradigm to explore differences between the IOR of audiovisual targets and the IOR of visual targets in ADHD and typically developing (TD) children. Method: A total of 81 native Chinese speakers aged 6 to 13 years were recruited, including 38 children with ADHD and 43 age- and sex-matched TD children. Results: The results showed that there was a smaller magnitude of IOR with audiovisual targets as compared with visual targets in the two groups. Importantly, the reduction of IOR in audiovisual conditions was significantly smaller in children with ADHD than in children with TD. Race model analyses further confirmed that differences in IOR between ADHD and TD are due to deficits of audiovisual integration in ADHD. Conclusion: The results indicated that children with ADHD have impaired audiovisual integration, which has a minimal impact on IOR.

Background: Walk tests are common gait speed and endurance assessments. Shorter test versions could benefit adults with intellectual disability. Thus, the concurrent validity of shorter tests was studied. Methods: Thirty-five adults with mild to moderate intellectual disability, aged 21-64 years, were assessed with the 4-m walk test, 10-m walk test for gait speed, 2-min walk test, and 6-min walk test for endurance. Correlation and Bland--Altman plots analyses were used to establish concurrent validity between shorter and standard tests. Results: Strong positive relationships were found for gait speed tests, r = 0.94, p < 0.001, and endurance tests, r = 0.83, p < 0.001, and differences between shorter and standard tests were within limits of agreement. Conclusions: The concurrent validity of shorter walk tests was established in this study. This would mean that adults with intellectual disability with lower levels of fitness could be assessed.

Background: To better understand the intricate science of reading development, both cognitive and affective factors must be taken into consideration. This developmental study aims to enrich the literature by exploring how reading motivation -- an affective factor -- contributes to reading comprehension in Chinese elementary schoolers, beyond well-accepted cognitive-based reading skills, such as decoding and vocabulary. Methods: We used a cross-sectional design with 420 native Mandarin-Chinese-speaking students (Grade 2: N = 95; Grade 3: N = 216; Grade 4: N = 109), with age-appropriate materials to measure their decoding skills, vocabulary knowledge, reading motivation, and reading comprehension. Three sets of hierarchical regression analyses were run for the three grade samples to examine the unique contributions of reading motivation to reading comprehension while controlling children's demographic profiles, such as age and gender, and two cognitive-based reading skills. Results: We replicated previous findings: children's decoding and vocabulary are robust predictors of reading achievement across Grades 2 to 4. Importantly, reading motivation contributed uniquely to reading comprehension in all three grades and explained an increasing amount of the variances in reading comprehension from Grades 2 to 4. Intrinsic reading motivation was critical in Grade 3, while extrinsic reading motivation became important in Grade 4. Conclusions: Taken together, our findings reveal the complexity of reading development and advance the existing cognitive-based reading theories by including affective dimensions.

With the ability to provide feedback and assistance, humanoid educational robots have been proven effective in assisting students to overcome learning challenges and enhancing individual learning outcomes. However, the strength of humanoid robots in promoting social and emotional skills has not been well investigated. Socially supportive behaviour can contribute more to students' learning engagement than knowledge transfer. This study focuses on the design of humanoid robots to engage students from functional and affective perspectives. To this end, a pilot test is conducted on 64 primary school students in Hong Kong, comprising a control group (N = 33) and an experimental group (N = 31). Questionnaires, observations, and language proficiency test are done to ensure the validity of the findings. The results show that the experimental group, which learned with the humanoid robots, significantly improved their behavioural engagement (+ 13.24%), emotional engagement (+ 13.14%), cognitive engagement (21.56%), and intrinsic motivation (12.07%). The impact of utilizing humanoid robots in education is elucidated through the lens of the self-determination theory (SDT), which pertains to students' learning motivation and engagement. These findings can provide valuable insights into the development of more captivating humanoid robots for extensive learning purposes.

This paper describes a scoping review of China's academic resource databases, relevant official websites, news reports and public accounts spanning a period from the end of 2019 to the end of 2022, to investigate the challenges in scientific integrity and ethical soundness of research conducted during and immediately after the COVID-19 pandemic in China. By conducting the scoping review with keywords related to the research questions in Chinese, relevant data were extracted and classified into four categories: challenges in research, challenges in ethics review, challenges in publishing academic work, and research ethics guidelines during and after the pandemic. The paper points out that problematic studies and findings increased with the escalation in medical research projects during the pandemic in China. The situation faced by researchers was more difficult than before the pandemic. The mode of informed consent, and ethics review and oversight systems also underwent changes. In addition, Traditional Chinese Medicine as an alternative medical treatment for COVID-19, attracted attention from the research community and became a topic of discussion. We conclude that the various challenges and concerns identified indicate a need for a proper and timely response system be formulated in preparation for possible future occurrences of new pandemics or other critical situations.

Given the severe pollution caused by traditional plastics, biodegradable plastic products (BPPs) have received great attention and are appearing in people's lives in the form of packaging bags, tableware, etc. Whether a wide variety of BPPs can truly degrade depends on the environment. Aerobic composting is the arbitration method to evaluate the degradability of BPPs in a premarket review, so only the aerobic degradability of BPPs can be guaranteed. Anaerobic digestion has become an irreplaceable part of the global carbon cycle and a mainstream technique to dispose of organic wastes. However, little attention has been given to the anaerobic degradation of BPPs, which may cause environmental pollution if BPPs are not degraded within a short time period. Students are not aware of these issues. Therefore, the teacher carried out teaching reforms in biochemistry course by designing anaerobic degradation of commercially available BPPs as a laboratory exercise for undergraduate students to form a correct understanding of the actual anaerobic degradation performance of BPPs, establish a more comprehensive theoretical knowledge framework of catabolism in biochemistry course, and train their hands-on ability and operation skills. This paper provides an introduction to the experimental design and teaching process of the anaerobic degradation of BPPs, and the results show that the degradation degree and rate are closely related to the components of BPPs. The results of the quizzes and questionnaires show that teaching reform is not only beneficial for deepening students' impression and understanding of anaerobic catabolism from ubiquitous BPPs in everyday life but also helpful for promoting their environmental awareness by selecting and using BPPs with better degradability. This teaching reform offers references and guidance for the teaching practice in courses like biochemistry, environmental microbiology, environmental chemistry, and waste treatment.

Autism is a lifelong condition characterized by repetitive and restrictive behaviors and differences in social communication. The reported prevalence of autism has risen exponentially in the past years. Early identification and subsequent early intervention are key to promoting better outcomes for autistic individuals. However, there is a dearth of research focusing on understanding variables that impact the age of diagnosis of autistic children in Paraguay. We collected data from 176 caregivers of autistic individuals aged 18 years or younger who lived in Paraguay and conducted a hierarchical regression analysis to understand whether demographic and clinical variables predicted the age of autism diagnosis in Paraguayan autistic children. Our results indicated that child's age, child's age at caregivers' first concerns for their development, and child's verbal skills were significant predictors of the age of autism diagnosis in Paraguay. Educating caregivers and professionals to increase awareness of autism characteristics and atypical behaviors in social communication beyond verbal skills may support the early identification of autism and subsequent access to early intervention.

Large Language Models (LLMs) have the potential to improve education by personalizing learning. However, ChatGPT-generated content has been criticized for sometimes producing false, biased, and/or hallucinatory information. To evaluate AI's ability to return clear and accurate anatomy information, this study generated a custom interactive and intelligent chatbot (Anatbuddy) through an Open AI Application Programming Interface (API) that enables seamless AI-driven interactions within a secured cloud infrastructure. Anatbuddy was programmed through a Retrieval Augmented Generation (RAG) method to provide context-aware responses to user queries based on a predetermined knowledge base. To compare their outputs, various queries (i.e., prompts) on thoracic anatomy (n = 18) were fed into Anatbuddy and ChatGPT 3.5. A panel comprising three experienced anatomists evaluated both tools' responses for factual accuracy, relevance, completeness, coherence, and fluency on a 5-point Likert scale. These ratings were reviewed by a third party blinded to the study, who revised and finalized scores as needed. Anatbuddy's factual accuracy (mean ± SD = 4.78/5.00 ± 0.43; median = 5.00) was rated significantly higher (U = 84, p = 0.01) than ChatGPT's accuracy (4.11 ± 0.83; median = 4.00). No statistically significant differences were detected between the chatbots for the other variables. Given ChatGPT's current content knowledge limitations, we strongly recommend the anatomy profession develop a custom AI chatbot for anatomy education utilizing a carefully curated knowledge base to ensure accuracy. Further research is needed to determine students' acceptance of custom chatbots for anatomy education and their influence on learning experiences and outcomes.

Reading habits play an active role in promoting students' reading skills and making them prepared to participate in modern society. Gender differences regarding students' habits in the use of reading medium, amount of time spent on leisure reading, and the frequency of school-related reading and of leisure reading were examined. The relation between these habits and the level of student reading performance was further explored. Data on 439,847 15-year-old students in 61 countries/regions were extracted from the most recent database of the Programme for International Student Assessment. Descriptive statistics showed that female students preferred print reading and multiformat use, that they spent more time on leisure reading, and that they read fiction and magazines more often than male students. Then, 3-level hierarchical linear modeling was conducted. The results indicated that the use of a paper format, the school-related reading of texts with tables or graphs and of fiction, and the leisure reading of fiction and nonfiction positively influenced reading performance among members of both gender groups and that a small amount of leisure reading of magazines and newspapers only showed a significant, albeit small, positive impact among members of the female group. Additionally, more than 2 h of leisure reading a day brought greater benefits for female students, while 1 to 2 h a day seemed to be more effective for male students. The practical implications for the cultivation of reading habits by students as well as those for the implementation of educational interventions were further discussed.

The emergence of Positive Psychology in second language acquisition has placed greater emphasis on the vital role of engagement in learning English as a foreign language (EFL). Although previous research has established that EFL learners' engagement is affected by ideal L2 self, boredom, and grit respectively, sporadic studies have attempted to address the simultaneous link between these factors and engagement. To fill the gap, this study aims to examine the association between the ideal L2 self and engagement among EFL learners, with a special focus on the mediating role of grit and boredom in the relationship. A total of 466 EFL learners were enrolled in two public universities in Northern China. Structural equation modeling (SEM) results revealed that grit positively predicted engagement and mediated the relationship between the ideal L2 self and engagement. Moreover, boredom negatively predicted engagement and acted as a mediator between the ideal L2 self and engagement. However, ideal L2 self did not directly predict engagement. These findings contribute to the current knowledge by elucidating the complex relationships between the three factors and engagement, which can provide insights for pedagogical practices and directions for future research.

Collaborative problem-solving (CPS) includes multiple socio-cognitive processes that can be challenging to investigate. Constructing arguments is a key practice at the intersection of CPS and science learning. To understand how students construct arguments and develop science knowledge during CPS, we focus on team synchrony--the extent of similarity of navigation actions between team members--in a game-based learning environment. Specifically, we examined the impact of team synchrony on students' argument construction and science knowledge acquisition in a science learning game, "Alien Rescue." Using a mixed methods approach, we analyzed a range of in-game data and performance data of 69 teams from 146 sixth-grade students. Our results show that team synchrony enhanced students' science knowledge acquisition, whereas its effects on argumentation features were nuanced: (a) higher team synchrony groups were more productive in constructing backing compared to low team synchrony groups in conditions where their prior knowledge was high, and (b) there was no significant difference between the two groups in generating claims. We also identified two illustrative cases to show the observed relationship between team synchrony and complexity of arguments that students constructed as a team. Our study has implications for tracing learning processes through log and textual data to understand students' CPS process and performance, which consequently inform the design of scaffolds that support students' CPS.

Previous studies have shown that social exclusion can have negative effects on the well-being of children and adolescents. However, there is inconsistent evidence regarding how the impact of social exclusion changes with age. This study used the Cyberball paradigm to investigate the effects of exclusion and subsequent inclusion on primary needs (such as belonging, self-esteem, control and meaningful existence) and emotions (including happiness, sadness and anger) in a sample of Chinese school-aged children (163 children aged 6-8, 8-10 and 10-11). The results revealed that children aged 6-8 showed lower susceptibility to ostracism, while threats to primary needs emerged around the ages of 8-10 and persisted until 10-12. Negative effects on moods were evident from the age of 6-8 and intensified with age. Brief inclusion following exclusion was found to effectively restore the primary needs and moods of ostracized children, serving as a reliable intervention for promoting rapid recovery. However, age-related differences were observed in the restorative effects of re-inclusion, with 8- to 10-year-olds benefiting more compared to 10- to 12-year-olds. These findings provide valuable insights for educational institutions seeking to create supportive environments that help children recover from the detrimental effects of ostracism.

Embedding clinically relevant learning experience in basic science subjects is desired for the preclinical phase of undergraduate medical education. The present study aimed to modify case-based learning (CBL) with a role-playing situational teaching method and assess the student feedback and learning effect. One hundred seventy-six sophomore students majoring in clinical medicine from Harbin Medical University were randomly divided into two groups: the control group (n = 90), who received traditional hybrid teaching, and the experimental group (n = 86), who received the role-playing situational teaching. Students in the experimental group were given a 1-wk preclass preparation to dramatize a hyperthyroidism scenario through online autonomous learning of thyroid physiology and performed the patient's consultation process in class, followed by a student presentation about key points of lecture content and a question-driven discussion. A posttest and questionnaire survey were conducted after class. The test scores of the two groups had no statistical differences, whereas the rate of excellence (high scores) of the experimental group was significantly higher than that of the control group. Furthermore, the record of online self-directed learning engagements was significantly improved in the experimental group. In the questionnaire, >70% of the students showed positive attitudes toward the role-playing situational teaching method and were willing to participate in other chapters of the physiology course. Such results show that CBL supported by a role-playing situational teaching method encourages active learning and improves the application of basic knowledge of physiology, which can be incorporated in the preclinical curricula to bridge the gap between theory and practice.

As the world continues to ponder issues of equity and diversity, U.S. public schools face an expanding demographic divide between teachers and students. While diverse groups of public school students show an increase in population, the teaching workforce in the U.S. remains overwhelmingly White. The purpose of this systematic review is to examine how preservice teachers (PST) are being prepared to be culturally responsive. A total of 26 studies published between 2006 and 2020 were reviewed. The results indicate that PSTs' learning experiences are varied and tend to be stand-alone approaches focused on changing the attitudes and beliefs of PSTs. Findings also bring to light the vagueness of terminology used in the research to define cultural groups of students, the conspicuous absence of studies related to LGBTQ+ populations, and the lack of study replications. Implications for future research are discussed.

Purpose: The Program for the Education and Enrichment of Relational Skills (PEERS®) is a group-based social skills training program for adolescents on the autism spectrum. Although the program has been shown to be effective in improving social skills in autistic adolescents, evidence of its effectiveness from the Mandarin-speaking Chinese population is sparse. The present study used a non-randomized, pre- and post-intervention research design to investigate the feasibility and cultural validity of the program, as well as examine the moderators of intervention outcomes. Methods: Thirty-three autistic adolescents with intelligence quotient above 70 (M[subscript age] = 13.57, SD[subscript age] = 1.43; Male: Female 25:8) and their parents received 14 concurrent 90-minute sessions. Adolescents' autistic traits, challenging behaviors, emotional functioning, socio-cognitive process, social environment factors (school support), and caregivers' well-being were evaluated. Results: The findings suggest that with minor adjustments, the Mandarin version of PEERS® was generally acceptable and feasible for autistic adolescents and their parents. PEERS® may improve the social skills knowledge, reciprocal communication abilities, and emotional well-being of autistic adolescents. Also, participants with a higher level of school support, and parents with lower perceived subjective well-being at baseline may gain more benefits from PEERS®. The cultural adaptation and acceptability of the Mandarin Version of PEERS® were discussed. Conclusion: This feasibility study (Chinese Clinical Trial Registry: ChiCTR2200061417, 2022-06-23, retrospectively registered) provides a basis for further randomized control trials of the Mandarin version of PEERS®.

Interoception, the sense of the physiological condition of our body, is impaired in individuals with autism spectrum disorders. Evidence suggests that subclinical autistic traits are mild manifestations of autistic symptoms, present in the general population. We examined the resting-state functional connectivity (rsFC) associating with interoception and autistic traits in 62 healthy young adults. Autistic traits correlated negatively with the rsFC between the lateral ventral anterior insula and anterior cingulate cortex. Interoceptive accuracy and sensibility correlated positively with the rsFC between interoceptive brain networks and the cerebellum, supplementary motor area, and visual regions. The results suggest that a negative relationship between interoception and autistic traits is largely accounted for by both self-report measures and decreased rsFC amongst the interoceptive brain network.

Multimodal learning analytics (MMLA) offers the potential to provide evidence-based insights into complex learning phenomena such as collaborative learning. Yet, few MMLA applications have closed the learning analytics loop by being evaluated in real-world educational settings. This study evaluates the effectiveness of an MMLA solution in enhancing feedback and reflection within a complex and highly dynamic collaborative learning environment. A two-year longitudinal study was conducted with 399 students and 17 teachers, utilising an MMLA system in reflective debriefings in the context of healthcare education. We analysed the survey data of 74 students and 11 teachers regarding their perceptions of the MMLA system. We applied the Evaluation Framework for Learning Analytics, augmented by complexity, accuracy and trust measures, to assess both teachers' and students' perspectives. The findings illustrated that teachers and students both had generally positive perceptions of the MMLA solution. Teachers found the MMLA solution helpful in facilitating feedback provision and reflection during debriefing sessions. Similarly, students found the MMLA solution effective in providing clarity on the data collected, stimulating reflection on their learning behaviours, and prompting considerations for adaptation in their learning behaviours. However, the complexity of the MMLA solution and the need for qualitative measures of communication emerged as areas for improvement. Additionally, the study highlighted the importance of data accuracy, transparency, and privacy protection to maintain user trust. The findings provide valuable contributions to advancing our understanding of the use of MMLA in supporting feedback and reflection practices in intricate collaborative learning while identifying avenues for further research and improvement. We also provided several insights and practical recommendations for successful MMLA implementation in authentic learning contexts.

Social support is a crucial factor in the academic engagement of doctoral students, which is vital to their overall success. While past studies have mostly focused on the support from doctoral supervisors, support from other significant groups, including institutions, peers and families, has been largely neglected, and even no study has investigated their contributions to doctoral students' development. Drawing from the job demands-resources model, this study investigated the contributions of different sources (institutions, supervisors, peers and families) of social support to doctoral students' academic engagement. It further examined the mediating role of grit within these relationships. A sample of 472 doctoral students across various disciplines from 10 universities in mainland China responded to an online survey. Results showed that institutional support and supervisory support positively predicted doctoral students' academic engagement, while peer support and family support did not significantly predict academic engagement. Furthermore, grit was found to mediate the relationship between support from institutions and supervisors and academic engagement. Practical implications for higher education institutions, doctoral supervisors and programs are discussed.

Written as a letter to Galileo, an education graduate student narrates from course experiences that deepened her understandings of Galileo and natural and intellectual properties underlying his works. Having taken the Galileo-themed course with Elizabeth Cavicchi at MIT's Edgerton Center in three prior terms, on taking it a fourth time, this student, the paper's author, developed and documented perceptive observations of learning. Geometry instruction, as these classmates experienced in school, had equipped them with superficial, rigid access to similar triangles and ratio relations--the mathematical tools of Galileo. While applying these tools in class activities, the classmates faced confusion, dilemmas, and discrepancies. By giving themselves the space to work through these "troubles", classmates initiated their own "learning opportunities". New resilient, flexible understandings arose. Students were no longer confined by prior formulaic rules. The student author discerned a new Euclidean relationship of proportionalities among triangles constructed between parallel lines. These developments are articulated as the experiences arose, providing an analysis and immediacy that is rarely observed or documented frankly by educators and learners. A practitioner of the pedagogy critical exploration in the classroom based on researches of Eleanor Duckworth, Jean Piaget and Bärbel Inhelder, the teacher supported classmates in delving into their questions, which were not expected in advance. Class activities included: observing objects in perspective; collectively working through Euclid's definition of same ratio (in Elements Book 5) on their own terms; investigating errors arising in using a laser-cut prototype instrument based on Galileo's geometrical compass; and exploring a fulcrum balance. Learners' own curiosity opened up areas that they otherwise ignored. How is it ever possible to teach the spirit and method of scientific inquiry? How is it ever possible for anybody to learn it? What it takes for scientific inquiry to take root, develop, and grow? The details of a student/author finding her own ways into deep questions, and making sense of them, reveal the strengths of learning this way. In the background, we see the ways of the teacher. Both enhance our understanding of how Galileo understood learning.

Humility as a concept has recently received increasing scholarly attention in international scholarship. It has also been regarded as important for education traditionally in Chinese culture. However, no empirical research so far has examined Chinese people's conceptualisations of humility in education and its cultivation in schools. Based on semi-structured interviews, this exploratory study examined urban teachers' conceptions of humility and their experiences of cultivating humility in mainland Chinese schools. Our findings highlight the multiplicity and complexity of conceptualisations of humility and the challenges faced by the teachers in cultivating humility. The study also raises questions about the politics of practicing humility and the complex entanglements between moral values and social norms and relations, inviting more research to examine the complex implications of moral virtues that are promoted in schools and wider societies around the world. Despite their recognition of the potentially negative consequences of humility such as avoidance from competition and entailing emotional constraints, the teachers regarded humility as a predominantly positive moral concept important for learning, teaching, and teacher--student relationship. Meanwhile, they associated it with disciplinary dispositions such as being quiet, subtle, cautious, or dutiful. The teachers' attempts to cultivate it among their students were highly contingent, however, due to various challenges, including a lack of teacher training and limited textbook contents on humility, the exam-orientedness of the Chinese education system, and the perceived individualistic dispositions of Chinese students.

Computational thinking (CT), an essential competency for comprehending and addressing intricate issues in the digital world, has been incorporated into curriculum planning as a goal for programming education. This study introduced flow design into programming curricula to investigate its impact on undergraduates 'CT skills during pair work. Two types of flow design approaches, construct-by-self flow design (CBS-FD) and construct-on-scaffold flow design (COS-FD), were proposed to determine which approach better enhances students' CT skills. Seventy-six first-year undergraduates participated, including thirty in the CBS group and thirty-six in the COS group. Evaluations made from the results and processes of programming tasks were employed to describe computational performance and computational practices, respectively. Data gathered from CT skill surveys were thoroughly analyzed to gain a deeper understanding of computational perspectives. Our findings highlighted that COS-FD significantly improved participants' computational performance compared with CBS-FD. The COS groups fostered an engaging, sharing atmosphere, while CBS groups spent more energy on negotiating the manipulation of flow design. Moreover, both COS-FD and CBS-FD proved beneficial in enhancing participants' computational perspectives, with the COS groups better improving their algorithm thinking. The study presents valuable perspectives on the design and implementation of collaborative programming activities within curriculum education.

The marketing of heated tobacco products (HTPs), like IQOS, influences consumers' perceptions. This mixed-methods study analyzed (i) survey data (2021) of 2222 US and Israeli adults comparing perceptions of 7 IQOS attributes (design, technology, colors, customization, flavors, cost and maintenance) and 10 marketing messages (e.g. 'Go smoke-free…') across tobacco use subgroups and (ii) qualitative interviews (n = 84) regarding IQOS perceptions. In initial bivariate analyses, those never using HTPs (86.2%) reported the least overall appeal; those currently using HTPs (7.7%) reported the greatest appeal. Notably, almost all (94.8%) currently using HTPs also currently used cigarettes (82.0%) and/or e-cigarettes (64.0%). Thus, multivariable linear regression accounted for current cigarette/e-cigarette use subgroup and HTP use separately; compared to neither cigarette/e-cigarette use (62.8%), cigarette/no e-cigarette use (17.1%) and e-cigarette/no cigarette use (6.5%), those with dual use (13.5%) indicated greater overall IQOS appeal (per composite index score); current HTP use was not associated. Qualitative data indicated varied perceptions regarding advantages (e.g. harm, addiction and complexity) of IQOS versus cigarettes and e-cigarettes, and perceived target markets included young people, those looking for cigarette alternatives and females. Given the perceived target markets and particular appeal to dual cigarette/e-cigarette use groups, IQOS marketing and population impact warrant ongoing monitoring to inform regulation.

This mixed-methods study investigated Chinese tertiary-level students' perceptions of different English accents existing in mainland China. Also examined were their perception changes and factors that contributed to their perception changes. An electronic questionnaire survey was employed to investigate the general trend and the possible correlations and differences in the participants' perceptions of different English accents. Follow-up interviews and diary studies were conducted to examine the participants' perception changes and the contributing factors. The main findings show that the participants were inclined to accord privileged status to Inner Circle English accents, whereas their perceptions of Outer Circle and Expanding Circle English accents tended to remain unfavourable. Their perceptions were found to be under the substantial influence of the ongoing exonormative English education, English language assessment system and employment requirements. We also found that the explicit instruction of the development of English and the frequent cross-cultural communication were likely to engender changes in the participants' language beliefs and perceptions of different English accent varieties.

Educational research has emphasized the importance of help-seeking in learning and engagement. However, little is known about the impact that help-giving may potentially have on student engagement and academic achievement. There is also a lack of knowledge about the environmental factors that might facilitate help-giving. This study investigated how help-giving is associated with student engagement and academic achievement by drawing on the Chinese College Student Survey (CCSS), which involved data from 67,182 Chinese college students. Structural equation modeling was used to analyze the data. Results showed that students who experienced a positive social climate, particularly those who had positive social interactions with their peers, teachers, and university staff members were more likely to help their peers with schoolwork. In turn, these students who helped their peers were more cognitively, emotionally, and behaviorally engaged. They also had higher levels of academic achievement themselves. The results applied to students of different demographic characteristics and different school types. Theoretical and practical implications of the research are discussed.

Academic adjustment is an important task for students, traditionally encompassing three major constructs: academic motivation (e.g., academic self-efficacy), engagement (e.g., persistence with schoolwork), and achievement (e.g., grade point average). Although theoretical links between parent-child attachment and academic adjustment have been proposed, comprehensive meta-analyses investigating this relationship are lacking. To achieve a more thorough understanding, we incorporated data from children and adolescents, considering both categorical and continuous attachment measures. Through a series of multilevel meta-analyses, we examined the magnitude of the relationship between parent-child attachment and academic achievement, motivation, and engagement. We retrieved 178 effect sizes from 45 studies assessing 47 independent samples (53,619 students) through a systematic literature search. The key findings are as follows: attachment security was positively related to academic achievement (r = 0.132), while attachment insecurity, whether avoidant (r = - 0.154) or anxious (r = - 0.081) attachment, was negatively associated with academic achievement. Moreover, attachment security was positively related to motivation (r = 0.161) and engagement (r = 0.229). Notably, the type of attachment measures moderated the association between attachment security and academic achievement. In addition, gender was found to moderate the association between attachment security and academic motivation. Our findings are crucial for understanding the association between parent-child attachment and academic adjustment.

Based on 1,364 children across Grades 1, 3, and 5, the present study explored the mutualism of (externalizing and internalizing) behavioral problems and language, and whether social skills explained such mutualism. The random intercept cross-lagged panel models were conducted to control for between-person level variance and to explore mutualism of variables on the within-person level. Results indicated the mutualistic coupling of language and externalizing behavioral problems from Grades 3 to 5. When including social skills in the model, only social skills and externalizing behavioral problems formed the mutualism from Grades 3 to 5; language only predicted behavioral problems and social skills in the early elementary stage (Grades 1-3). These results suggest that language and behavioral management early on are important investing skills for the development of language, behavior skills, and social skills. With development, social skills may become more important than general language skills to manage problem behaviors. These findings indicated that interventions targeting behavioral problems may need to adapt their focus as children develop: fostering general language abilities early on but shifting to building social skills in later grades.

Response times (RTs) facilitate the quantification of underlying cognitive processes in problem-solving behavior. To provide more comprehensive diagnostic feedback on strategy selection and attribute profiles with multistrategy cognitive diagnosis model (CDM) and utilize additional information for item RTs, this study develops a multistrategy cognitive diagnosis modeling framework combined with RTs. The proposed model integrates individual response accuracy and RT into a unified framework to define strategy selection and make it closer to the individual's strategy selection process. Simulation studies demonstrated that the proposed model had reasonable parameter recovery and attribute classification accuracy and outperformed the existing multistrategy CDMs and single-strategy CDMs in terms of performance. Empirical results further illustrated the practical application and the advantages of the proposed model.

Students with mental health needs, behavioral support needs, and/or emotional disturbance can engage in internalizing behaviors, externalizing behaviors, or both. Preservice and induction phase elementary general education teachers are reported to have limited education in providing evidence-based behavior management strategies, especially for students who engage in internalizing and/or externalizing behaviors. There is little understanding as to the differences in elementary general education teachers' knowledge, application, and self-efficacy in applying evidence-based behavior management strategies between preservice teachers, first-year teachers, second-year teachers, and third-year teachers. The purpose of this preliminary secondary data analysis was to examine differences in U.S. elementary general education teacher knowledge, application, and self-efficacy in evidence-based behavior management strategies from preservice to induction phase teaching. Results indicated third-year teachers had significantly less behavior management knowledge than preservice teachers. All other results were nonsignificant; however, there were practical differences when comparing the four groups on the knowledge and application measures. Implications for findings indicate the need for induction programs to focus on evidence-based behavior management strategies to support the development of behavior management for induction phase elementary education teachers as they progress through their first 3 years of teaching.

Background: Learner profiles detected from digital trace data are typically triangulated with survey data to explain those profiles based on learners' internal conditions (e.g., motivation). However, survey data are often analysed with limited consideration of the interconnected nature of learners' internal conditions. Objectives: Aiming to enable a thorough understanding of trace-based learner profiles, this paper presents and evaluates a comprehensive approach to analysis of learners' self-reports, which extends conventional statistical methods with psychological networks analysis. Methods: The study context is a massive open online course (MOOC) aimed at promoting physical activity (PA) for health. Learners' (N = 497) perceptions related to PA, as well as their self-efficacy and intentions to increase the level of PA were collected before and after the MOOC, while their interactions with the course were logged as digital traces. Learner profiles derived from trace data were further examined and interpreted through a combined use of conventional statistical methods and psychological networks analysis. Results and Conclusions: The inclusion of psychological networks in the analysis of learners' self-reports collected before the start of the MOOC offers better understanding of trace-based learner profiles, compared to the conventional statistical analysis only. Likewise, the combined use of conventional statistical methods and psychological networks in the analysis of learners' self-reports before and after the MOOC provided more comprehensive insights about changes in the constructs measured in each learner profile. Major Takeaways: The combined use of conventional statistical methods and psychological networks presented in this paper sets a path for a comprehensive analysis of survey data. The insights it offers complement the information about learner profiles derived from trace data, thus allowing for a more thorough understanding of learners' course engagement than any individual method or data source would allow.

Background: Peer assessment has played an important role in large-scale online learning, as it helps promote the effectiveness of learners' online learning. However, with the emergence of numerical grades and textual feedback generated by peers, it is necessary to detect the reliability of the large amount of peer assessment data, and then develop an effective automated grading model to analyse the data and predict learners' learning results. Objectives: The present study aimed to propose an automated grading model with reliability detection. Methods: A total of 109,327 instances of peer assessment from a large-scale teacher online learning program were tested in the experiments. The reliability detection approach included three steps: recurrent convolutional neural networks (RCNN) was used to detect grade consistency, bidirectional encoder representations from transformers (BERT) was used to detect text originality, and long short-term memory (LSTM) was used to detect grade-text consistency. Furthermore, the automated grading was designed with the BERT-RCNN model. Results and Conclusions: The effectiveness of the automated grading model with reliability detection was shown. For reliability detection, RCNN performed best in detecting grade consistency with an accuracy rate of 0.889, BERT performed best in detecting text originality with an improvement of 4.47% compared to the benchmark model, and LSTM performed best with an accuracy rate of 0.883. Moreover, the automated grading model with reliability detection achieved good performance, with an accuracy rate of 0.89. Compared to the absence of reliability detection, it increased by 12.1%. Implications: The results strongly suggest that the automated grading model with reliability detection for large-scale peer assessment is effective, with the following implications: (1) The introduction of reliability detection is necessary to help filter out low reliability data in peer assessment, thus promoting effective automated grading results. (2) This solution could assist assessors in adjusting the exclusion threshold of peer assessment reliability, providing a controllable automated grading tool to reducing manual workload with high quality. (3) This solution could shift educational institutions from labour-intensive grading procedures to a more efficient educational assessment pattern, allowing for more investment in supporting instructors and learners to improve the quality of peer feedback.

Background: Instructional videos constitute a pivotal component in flipped learning. Despite their significance, there is a dearth of research specifically dedicated to instructional videos within the context of flipped classrooms. This paucity has led to an empirical void in verifying the efficacy of instructional videos in flipped learning environments. Objectives: The present study endeavours to contribute to the extant literature on flipped pedagogical practices by providing empirical evidence regarding the effectiveness of instructional videos in flipped learning environments. Methods: This study employs a convergent mixed-methods design. Forty-five instructional videos in three subtypes were administered in two classes over a 15-week semester. Data, both quantitative (log data from the learning management system) and qualitative (from focus group discussions at two time points), were concurrently collected from a flipped class (n = 25) and a blended class (n = 28) with the aim of gauging student engagement and learning outcomes in the flipped class and understanding video-viewing features typical of the flipped class. Results: Both datasets corroborated that participants in the flipped class outperformed their counterparts in the blended class in terms of video-watching, peer interaction, knowledge retention, and transfer skills. Conclusions: The instructional videos within the flipped classroom setting serve to enhance student engagement in the learning process and improve learning outcomes. The efficacy of these instructional videos in flipped learning can be further augmented through strategic approaches in both their design and implementation.

Purpose: In this validation study, we examined the factor structure of the mediated learning observation (MLO) used during the teaching phase of dynamic assessment. As an indicator of validity, we evaluated whether the MLO factor structure was consistent across children with and without developmental language disorder (DLD). Method: Two hundred twenty-four children (188 typically developing and 36 DLD) from kindergarten to second grade completed a 30-min individual mediated learning session on narrative production. Performance during the session was rated using the 12-item MLO by clinicians on affect, behavior, arousal, and elaboration. Exploratory and confirmatory factor analyses were conducted to establish the factor structure and reliability of the MLO. Results: Factor analysis of the MLO suggested a stable three-factor model with adequate fit indices across kindergarten and school-age samples, across both typically developing and DLD subgroups with good to excellent reliability. The final 11-item MLO (one item was removed due to low factor loading) comprises three subscales including (a) cognitive factor, (b) learning anticipation, and (c) learning engagement. Conclusions: The MLO is a valid and reliable instrument for assessing language learning skills in children with and without DLD during dynamic assessment. Practical implications and suggestions for future research addressing the utilization of MLO in dynamic assessment are provided.

Effective collaboration and teamwork skills are critical in high-risk sectors, as deficiencies in these areas can result in injuries and risk of death. To foster the growth of these vital skills, immersive learning spaces have been created to simulate real-world scenarios, enabling students to safely improve their teamwork abilities. In such learning environments, multiple dialogue segments can occur concurrently as students independently organise themselves to tackle tasks in parallel across diverse spatial locations. This complex situation creates challenges for educators in assessing teamwork and for students in reflecting on their performance, especially considering the importance of effective communication in embodied teamwork. To address this, we propose an automated approach for generating teamwork analytics based on spatial and speech data. We illustrate this approach within a dynamic, immersive healthcare learning environment centred on embodied teamwork. Moreover, we evaluated whether the automated approach can produce transcriptions and epistemic networks of spatially distributed dialogue segments with a quality comparable to those generated manually for research objectives. This paper makes two key contributions: (1) it proposes an approach that integrates automated speech recognition and natural language processing techniques to automate the transcription and coding of team communication and generate analytics; and (2) it provides analyses of the errors in outputs generated by those techniques, offering insights for researchers and practitioners involved in the design of similar systems.

The current study examined a multiple mediator model based on the control-value theory. A sample of 433 Chinese junior middle school students participated in questionnaires assessing teacher-student relationships (TSRs), academic emotions, academic value (AV), and academic self-efficacy (ASE). English test scores were collected as an indicator of students' English academic performance. The results indicated the following: (a) for academic enjoyment, the TSR has an effect on academic achievement through the chain intermediary of AV and ASE; (b) for academic relaxation, the TSR has an effect on English academic achievement through the single intermediary of academic relaxation and the chain intermediary of AV, ASE, and academic relaxation; (c) for academic anxiety, the TSR has an effect on English academic achievement through the single intermediary of AV, the single intermediary of academic anxiety, and the chain intermediary of AV, ASE, and academic anxiety; (d) for academic boredom, the TSR has an effect on English academic achievement through the single intermediary of academic boredom. These findings enrich the relevant research on the control-value theory and provide important insights for improving students' English academic achievement.