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The worsening global environmental crisis highlights the urgency of integrating Environmental Education (EE) throughout the curriculum including in English as a Foreign Language (EFL) curricula. However, challenges exist, such as the development of appropriate curriculum documents and educators' understanding of approaches to EE. This study looked at Indonesian EFL textbooks for elementary schools, focusing mainly on the images and how they can portray environmental themes. These images and some brief texts that accompany the images were examined using tools from ecolinguistics literature, including Stibbe's (2021) nine stories and the United Nations' EE objectives (UNESCO-UNEP, 1975). This study intends to fill a gap in the EE literature by analyzing images in elementary school textbooks in the specific context of Indonesia, generalizing the idea of EE to other contexts. Findings revealed that while some EE efforts were evident, the majority of the material leaned towards an anthropocentric (human centered) perspective, indicating a need for greater incorporation of insights from ecolinguistics to enhance the content. Moreover, in terms of EE objectives, the textbooks provided ecological knowledge but lacked emphasis on developing skills and encouraging student participation in solving environmental problems. Examples demonstrating the ability to evaluate and address environmental issues were also absent. Suggestions are made for future EE content in EFL materials.

During attempts to prevent and control the COVID-19 pandemic in China, higher education programs shifted their traditional educational models to online models. This paper aimed to explore how Chinese universities organized online teaching and learning during the pandemic. It investigated the factors affecting the implementation of online teaching and provided policy recommendations for improving the quality of education in the post-pandemic period. The primary data for this study came from in-depth interviews with nine students and five teaching and administrative staff at eight major universities in mainland China. Literature was obtained in both English and Chinese from January 2020 to September 2021. Peer-reviewed journals, policy reports, and university documents regarding online education in Chinese universities were reviewed, and their challenges and countermeasures were investigated. The paper found that the implementation of online education was affected by various sources, including technologies, teachers' teaching skills, network information literacy, and students' learning motivations and self-directed learning skills. Based on the insiders' views, the paper suggested that to promote the quality of online education in the post-COVID-19 pandemic, higher education institutes and programs could develop their infrastructure construction, improve teachers' quality of teaching, and focus on students' learning motivations.

Purpose: We describe a series of more than a dozen studies on self-directed online learning spanning over a decade. Design/Approach/Methods: We incorporated surveys, interviews, focus groups, and content analyses into these research studies, which initially targeted the goals, motivations, and challenges of learners using open educational resources and OpenCourseWare and then focused on learning from massive open online courses (MOOCs). This research accelerated after creating a database of over 3,000 MOOC instructors, through which we explored cultural sensitivity and personalization practices in MOOCs as well as instructional design considerations and challenges, MOOC instructor professional development and career development, instructor motivation and engagement, and student and instructor perceptions of self-directed learning. Findings: This study reveals that self-directed online learners (SDOLs) seek learning environments offering freedom, choice, control, and a sense of autonomy and that both learners and instructors have intrinsic motivation for engaging in open online learning environments. Originality/Value: Based on this research with both MOOC instructors and MOOC learners, we offer instructional design guidelines to address SDOLs' needs and assist in efforts to foster a new generation of SDOLs.

Redox reaction is a core chemical concept. However, its abstract nature makes it very difficult for students. Students' conceptual structure reflects their mastery of concepts, which helps teachers implement targeted educational strategies. This study aimed to explore the conceptual structures of redox reaction held by students (grades 10 to 12) by employing MDS and HCA. A total of 606 students participated, with 195 students in 10th grade, 202 in 11th grade, and 209 in 12th grade. The results indicated that three-dimensional solutions were appropriate for the conceptual structures of 10th and 12th graders, while 11th graders demonstrated two-dimensional solutions. All students grouped the 15 concepts related to redox reaction into two large clusters: metrology and the redox reaction process. Moreover, both 10th and 12th graders further subdivided the 15 concepts into four subclusters: metrology, oxidation process, reduction process, and chemical reaction. Students' conceptual structures were rational across all three grades. The conceptual structures of 10th and 12th graders were more refined than those of 11th graders, and there was no significant difference between the conceptual structures of 10th and 12th graders. 11th graders learned about electrochemistry and tended to confuse concepts related to redox reaction with those related to electrochemistry.

Science identity, encompassing perceptions of competence, interest, and recognition in science, alongside learning self-efficacy reflecting confidence to master science skills, are key drivers of outcomes. However, developmental patterns likely vary across contexts. Participants were 512 Chinese students spanning grades 1-3 who completed the Science Identity Scale and Science Learning Self-Efficacy Scale, with physics, chemistry, and biology achievement scores gathered. A Partial Least Squares Structural Equation Model assessed relationships. Results substantiated psychometrics for motivational measures. The model indirectly predicting achievement via first-order discipline-specific paths explained more variance than direct second-order effects. Effects significantly varied across groups stratified by grade and region. Interest and conceptual knowledge drove physics and chemistry success, while higher-order skills enhanced biology achievement overall. However, relationships differed within subgroups, suggesting personalized motivational support needs--self-belief/competence foundations for struggling learners, conceptual development for those with high prior achievement, and intrinsic enrichment for disinterested students. Results detail complex motivational profiles underlying science achievement requiring tailored identity safety and self-efficacy scaffolding alongside conceptual and skill-building for excellence across scientific disciplines. Motivational support systems may spur more equitable and optimal science outcomes among diverse adolescent learners.

The study explored how the quality of Internet access influenced students' online learning experiences during the pandemic-imposed large-scale adoption of online education. Drawing upon digital inequality research, we analyzed data collected from 894 higher education international students in China. We found that both access devices and Internet stability exerted significant impacts on international students' satisfaction with and performance of synchronous online learning (SOL). The path model further revealed that the underlying mechanisms through which the two dimensions of access inequality affected learning outcomes were different. While the effects of access devices on learning satisfaction and course performance were only mediated by adaptability to online pedagogy, Internet stability affected the two outcome variables via both interaction and adaptability. The study highlights the implications of these findings in the context of online education.

This research investigates the literacy transmission of Guqin culture at the Wangji School in Henan Province, China, through the lenses of ethnomusicology and transmission theory. The goal is to gain an understanding of the educational opportunities provided by this institution and its function in preserving and advancing this ancient Chinese musical tradition. Located in Henan, a province known as the "Cradle of Chinese Civilization," the Wangji School serves as a vital hub for Guqin education, performance, and transmission. Key informants provide perspectives on the diverse backgrounds and pedagogical approaches of Guqin instructors at the school. Using thematic analysis to look at observations and interviews as data shows that there is a focus on copying, expressing oneself, and combining lifestyle elements. The research highlights the school's commitment to cultural preservation, fostering an inclusive learning environment, and employing online outreach. In conclusion, the Wangji School emerges as a beacon of Guqin culture, bridging tradition and innovation to ensure the continuity and vitality of this cherished musical tradition, offering valuable lessons for the preservation of cultural heritage in contemporary educational settings.

This study aims to examine the relationship among motivation for joining an educational leadership training programme (MOT), perceived skills (PS), and perceived changes in transformational leadership (PCTFL) in educational leadership training. The study drew on survey data from 761 participants who were associated with a leadership development programme under an EU-China cooperation project. The conceptual model was tested by structural equation modelling (SEM) by the Mplus programme. MOT and PCTFL were measured, respectively, by second-order factor structure assessments due to their multi-dimensional nature. The findings of the study suggest that motivation positively influences perceived changes in transformational leadership, and this relationship is positively mediated by perceived skills as learning gains in educational leadership training. The study provides novel empirical evidence on motivation that leads to transformational leadership changes in leadership training programmes. Policymakers and other key stakeholders can use these findings to gain a deeper understanding of the success of projects and encourage academic members to participate in leadership training programmes to improve transformational leadership.

This study aimed to investigate the gap between adaptive functioning and cognitive functioning, especially verbal and nonverbal intelligence quotient (IQ) in Chinese children with ASD. We systematically explored cognitive functioning, ASD severity, early signs of developmental abnormalities, and socioeconomic factors as mediating factors of adaptive functioning. We enrolled 151 children (age: 2.5?6 years) with ASD and categorized them into one group with IQ [greater than or equal to] 70 and another with IQ < 70. The two groups were calibrated for age, age at diagnosis, and IQ, and the relationship of adaptive skills with vocabulary acquisition index (VAI) and nonverbal index (NVI) were separately analyzed. Results show that the gap between IQ and adaptive functioning was significant in children with ASD having IQ [greater than or equal to] 70, with both VAI and NVI showing statistically significant differences (all P < 0.001). VAI correlated positively with scores for overall adaptive skills and specific domains, whereas NVI had no significant correlations with adaptive skill scores. Age of first walking unaided had an independent positive correlation (all P < 0.05) with scores of adaptive skills and specific domains. IQ-adaptive functioning gap is significant in children with ASD having IQ [greater than or equal to] 70, suggesting that defining "high-functioning autism" merely on the basis of IQ is not appropriate. Verbal IQ and early signs of motor development are specific and possible predictors of adaptive functioning in children with ASD, respectively.

The pervasive issue of cheating in educational tests has emerged as a paramount concern within the realm of education, prompting scholars to explore diverse methodologies for identifying potential transgressors. While machine learning models have been extensively investigated for this purpose, the untapped potential of TabNet, an intricate deep neural network model, remains uncharted territory. Within this study, a comprehensive evaluation and comparison of 12 base models (naive Bayes, linear discriminant analysis, Gaussian process, support vector machine, decision tree, random forest, Extreme Gradient Boosting (XGBoost), AdaBoost, logistic regression, k-nearest neighbors, multilayer perceptron, and TabNet) was undertaken to scrutinize their predictive capabilities. The area under the receiver operating characteristic curve (AUC) was employed as the performance metric for evaluation. Impressively, the findings underscored the supremacy of TabNet (AUC = 0.85) over its counterparts, signifying the profound aptitude of deep neural network models in tackling tabular tasks, such as the detection of academic dishonesty. Encouraged by these outcomes, we proceeded to synergistically amalgamate the two most efficacious models, TabNet (AUC = 0.85) and AdaBoost (AUC = 0.81), resulting in the creation of an ensemble model christened TabNet-AdaBoost (AUC = 0.92). The emergence of this novel hybrid approach exhibited considerable potential in research endeavors within this domain. Importantly, our investigation has unveiled fresh insights into the utilization of deep neural network models for the purpose of identifying cheating in educational tests.

Background: Painting is the foundational expression across all art forms and is one of the key creative practices for fostering students' aesthetic ability and creativity within fine arts courses. Collaborative painting in the form of socially shared regulation of learning (SSRL) can be recognized as an effective strategy for enhancing creativity in both individual and group work. However, the absence of contextual experiences and collaborative spaces poses challenges for students in cultivating their creativity in painting. Objectives: The present study explores students' creativity, socially shared regulation (SSR) and positive painting behaviours using an SSRL-based collaborative painting approach in the metaverse (Meta-CP). Methods: Via a quasi-experimental design, a total of 40 Chinese students in fifth grade were recruited and were randomly divided into an experimental group and a control group, with 20 students utilizing the Meta-CP approach, while the remaining 20 students followed the conventional SSRL-based paper-and-brush collaborative painting (C-CP) approach. The Meta-CP approach not only offers an authentic painting context and a collaborative space but also facilitates the collaborative process through the SSRL framework. The data collection included students' creative tendency, painting works and painting process. Results and Conclusions: The Meta-CP approach effectively enhances students' creativity concerning adventure, curiosity and imagination, as well as results in the creation of more distinctive and logical artistic works. Furthermore, the approach significantly improved the quality of students' SSR. Additionally, students utilizing the Meta-CP approach displayed more positive painting behaviours compared with those employing the C-CP approach.

Background: Social annotation has emerged as a promising educational technology that fosters collaborative reading and discussion of digital resources among learners. While the positive impact of social annotation on students' learning process and performance is widely acknowledged, students' behavioural patterns in social annotation are underexplored. Objectives: This study investigated patterns in students' use of annotation and response behaviours in social annotation activities. We also explored how students' performance in the behavioural, cognitive, emotional, and social dimensions varied based on their behavioural patterns. Methods: We recruited 93 undergraduates who were enrolled in an elective course at a large North American University. Students were tasked with collaboratively annotating the class readings uploaded to Perusall, a social annotation platform, over 7 weeks. We used metaclustering to determine the optimal number of clusters pertaining to student behaviours. We compared the differences among clusters across multiple performance dimensions. Results and Conclusions: Two distinct clusters were identified and defined as initiators and responders. We found that responders had significantly longer active reading time and exhibited greater social annotation effort compared to initiators. However, initiators received more peer acknowledgement, as evidenced by higher upvotes. No significant difference was found in cognitive insight between initiators and responders, but responders demonstrated significantly higher cognitive discrepancy. Additionally, there were no significant differences in positive and negative tones between initiators and responders; however, responders displayed higher levels of prosocial behaviours than initiators. This study has significant practical implications regarding promoting students' collaborative learning experience in social annotation.

Scientific and technological development has brought greater demands for both general and skilled talents, which sets higher requirements for talent cultivation in higher education. As a vital component of higher education internationalization, international student mobility (ISM) is playing an increasingly important role in talent cultivation and supply. Using data from the Chinese National Graduate Sample Survey (CNGSS), this study explored whether ISM affects general and skilled talents' post-graduation decisions. Due to the substantial differences in the content and form of ISM, the heterogeneous effects of ISM duration and the host institution's ranking were further analyzed. The results showed that ISM helped general talents receive further education and helped skilled talents find employment. Furthermore, for general talents, short-term experiences had a greater impact on pursuing advanced education than long-term ISM, while for skilled talents, long-term experiences had a greater impact on finding employment.

Bullying is prevalent in many schools worldwide. Providing bullying prevention training to preservice teachers can make a significant difference in preventing school bullying. There is a lack of training in bullying prevention for preservice teachers in China, and the effectiveness of such training for bullying prevention has not yet been established. The present study examined the effectiveness of bullying prevention training on antibullying self-efficacy and incorrect beliefs about bullying among Chinese preservice teachers. A total of 139 preservice teachers (M[subscript age] = 20.76 years, SD = 0.80 years, ranging from 19 to 23 years; 90.6% women) were randomly assigned to the bullying prevention training (n = 73) or the control group (n = 66). Preservice teachers completed pre- and posttraining surveys. The participants in the treatment group completed a 5-week bullying prevention training program (1.5 h per week). Measures of antibullying self-efficacy and incorrect beliefs about bullying were used to evaluate the effectiveness of the bullying prevention training. Results indicated that the training increased preservice teachers' antibullying self-efficacy but did not decrease their incorrect beliefs about bullying. Practical implications, limitations, and future directions of these findings are discussed.

This study examined the psychometric properties of the Chinese version of the Social-Emotional Assessment Measure (SEAM) (33-66 months), which is designed to assess social-emotional difficulties and behavior disorders in young children. In this case, the SEAM was translated and back-translated. The sample included 2477 preschoolers (1256 boys; M[subscript age] = 57.57 months, SD = 10.93) residing in Shanghai, China. In summary, the results presented a 10-factor model that showed a good fit for the SEAM (33-66 months). Ultimately, the analyses demonstrated adequate internal consistency, reliability, and convergent validity. These findings indicate that the SEAM (33-36 months) is appropriate for use in Chinese preschool populations.

The architecture, engineering, and construction (AEC) education communities are increasingly facing challenges caused by social, technological, economic, environmental, and political changes. Addressing these issues requires AEC educators and practitioners to systematically rethink and reform many of their current practices. Anecdotal evidence in AEC education already exists with respect to pedagogical improvements made by individual technologies such as immersive computing, artificial intelligence, robotics, big data, cyberinfrastructure, and photogrammetry. However, an effective learning-centered environment is more complex than what any single technology can accomplish. In addition, the relationship between technology-intensive learning and digital inequity in AEC education remains, to the most extent, unclear. We envision the next-generation learning-centered environment for AEC education to be technology-intensive, interdisciplinary, industry-linked, and equitable. This paper aims to present a shared vision of the next-generation learning-centered environment for AEC education. To achieve this goal, two interrelated workshops were organized with the participation of different stakeholders, including researchers, educators, and professionals from multiple disciplines of architecture, engineering, construction, computer science, learning science, education, and social sciences. This paper is based on the combined outcomes of the two workshops, organized in four themes: (1) AEC curricula and industry practice, (2) technology and learning, (3) interdisciplinary education, and (4) digital inequity. This paper contributes to the body of knowledge by creating a pathway to timely reflect on new learning strategies, new technologies, and future industry and societal needs in AEC curricula, thus producing a more adaptive AEC workforce for the 21st century. The findings of this work can be adopted by educators to develop a roadmap for creating the shared vision of the next-generation learning-centered environment for AEC education.

Returnee faculty experiencing cross-border academic mobility have obtained ample transnational experience in an international academic environment, which may potentially influence their professional development satisfaction after returning to their home countries. Most research has compared returnee faculty's research productivity with their home-trained colleagues. However, the joint impact of local and overseas networks on professional development satisfaction needs to be further explored, particularly how they take advantage of overseas and domestic academic networks in professional development. This study used a mixed-methods approach to explore these issues. In the quantitative research section, a survey of 1307 returnees from 41 top Chinese universities was conducted. Ordinary Least Squares (OLS) and Propensity Score Matching (PSM) models were adopted to probe the influence of the dual academic networks on returnee scholars' professional development and to reveal the causal effect of the alum faculty status, respectively. In the qualitative research section, thirteen returnee faculty from nine Chinese universities participated in interviews. Key findings show that dual academic networks impact returnees' satisfaction with professional development, and network members with different tie strengths played diverse roles. The frequency of contact with former domestic and overseas supervisors and domestic colleagues is positively related to the returnee faculty's professional development satisfaction. Furthermore, the alum faculty status has a negative effect on returnees' professional development satisfaction. Returnees are advised to effectively and intentionally manage the strength of their ties to various roles within the dual academic networks to enhance their professional development satisfaction.

In the current era where computational literacy holds significant relevance, a growing number of schools across the globe have placed emphasis on K-12 programming education. This field of education primarily comprises two distinct modalities--the block-based programming modality (BPM) and the text-based programming modality (TPM). Previous research may not have provided a complete understanding of the differences between these two modalities as it did not take into account both the learning process and learning outcomes. This study aimed to compare secondary students' programming behaviors, computational thinking skills, and attitudes toward programming between the two modalities through a quasi-experimental design in a Chinese secondary school. The findings showed that (1) learners in TPM encountered more syntactical errors and spent more time between two clicks of debugging, while learners in BPM had more code-changing behaviors by adjusting programming blocks, made more attempts of debugging, and had more irrelevant behaviors; (2) learners in BPM achieved a higher level of computational thinking skills; (3) learners in both modalities experienced a slight decrease in confidence and enjoyment, while learners in BPM had higher interest levels in programming. (4) Code Changer, Minimal Debugger, Maximal Debugger, Distracted Coder and Average Coder were identified through students' programming behavior in the two programming modalities, and differences in their CT skills and attitudinal data were revealed. Lastly, pedagogical implications based on the findings are also discussed.