Pages: 43

The journey of teacher development has long been charted through the cognitive dimensions of skill and knowledge acquisition, yet the affective domain—the complex world of teacher emotions—remains a critically underappreciated frontier. This gap in understanding becomes particularly consequential during periods of large-scale educational reform, when the stable ground of professional practice is unsettled and teachers’ identities are thrust into a state of flux. The global drive to implement STEM education is one such transformative force, demanding a fundamental reimagining of pedagogical roles. However, the intricate relationship between the emotional experiences of teachers and the reconstruction of their professional selves is not well understood, especially within non-Western, exam-oriented contexts like China, where reform directives can conflict with deeply ingrained educational traditions. This study directly addresses this scholarly void by undertaking a three-year longitudinal narrative inquiry into the professional life of “Sunjie”, a pioneering STEM teacher in China. Our research moves beyond a static snapshot to trace the dynamic, co-evolutionary relationship between her emotional landscape and her evolving professional identity. The investigation draws upon a rich qualitative corpus, including in-depth interviews, longitudinal conversations, personal emotional diaries, and private correspondence, which together provide a nuanced window into the lived experience of educational change. A systematic, multi-step narrative analysis of this data revealed three core, emotionally laden professional identities that Sunjie constructed and navigated over time. She began her journey as an interested but confused learner, intellectually drawn to STEM’s potential yet feeling pedagogically adrift in the unfamiliar territory of inquiry-based learning. This initial phase gave way to her identity as an enthusiastic but nervous explorer, characterized by a cautious optimism fueled by classroom successes, which was perpetually tempered by the anxiety of performing under the scrutiny of colleagues and the pervasive pressure of examination metrics. Ultimately, she evolved into an excited but unsatisfied mentor, experiencing the gratification of guiding peers while simultaneously grappling with a profound dissatisfaction born from institutional constraints that limited her vision for transformative STEM education. Throughout these identity transitions, Sunjie’s experience was defined not by a linear progression from negative to positive emotions, but by a constant dialectical interplay between them. Feelings of confusion and excitement, nervousness and enthusiasm, dissatisfaction and fulfillment coexisted in a dynamic tension, each giving meaning and context to the other. Crucially, this study argues that these emotions were not merely incidental byproducts of her journey; they were fundamentally constitutive of her professional growth. Periods of confusion catalyzed deep reflection, nervous energy fueled meticulous preparation, and professional dissatisfaction became a powerful driver for resilience and strategic advocacy. In conclusion, this research provides a temporal, person-centered model illustrating how a teacher’s emotions and professional identities are mutually formative within a reform context. It posits that identity construction is an emotionally charged, ongoing narrative process, shaped by the complex interplay of personal agency, social interactions, institutional policies, and cultural discourses. The findings challenge simplistic, deficit-oriented views that frame negative emotions as impediments, instead illuminating their potential catalytic role in fostering profound professional development when they are effectively acknowledged and regulated. The study therefore carries significant implications, advocating for support systems and policies that recognize the human heart not as a distraction, but as the central site of sustainable educational change.

Pages: 38

While the global educational initiative known as STEAM—which seeks to weave the Arts and Humanities (A&H) into the foundational fabric of Science, Technology, Engineering, and Mathematics (STEM)—has garnered widespread theoretical support, a critical chasm persists at the classroom level. Here, educators confront the formidable realities of translating policy into practice, often struggling with a lack of concrete pedagogical models and support systems to achieve genuine, substantive integration. In direct response to this theory-practice divide, our research introduces and critically assesses a novel, five-stage professional development framework. This framework is meticulously constructed to guide educators through the complexities of Integrating the Arts and Humanities into STEM Teaching (IAT). Moving beyond a simple training program, we conceptualize it as a transformative learning journey. Employing a qualitative case study design, this paper offers a granular, longitudinal examination of a single teacher’s evolving self-efficacy as they navigate each distinct stage of the framework. Through a rich tapestry of data—drawn from repeated, in-depth interviews and structured reflective analyses—and interpreted via a rigorous seven-stage inductive methodology, we uncover the nuanced dynamics of professional growth. Our findings illuminate a profound transformation. The teacher’s self-efficacy did not merely improve; it underwent a fundamental shift, radiating outward from increased personal confidence to manifest in radically altered classroom practices. This internal change was directly and observably linked to enriched, more creative, and deeply engaging learning experiences for their students, a correlation sustained over an eighteen-month period. Crucially, the study reveals that the development of self-efficacy in IAT is not a straightforward, linear path. Instead, it functions as an open, multi-level ecosystem, where a teacher’s growing knowledge base, their honed practical skills, and their core professional beliefs engage in a continuous and dynamic dialogue, each element recursively shaping and reinforcing the others. Synthesizing these empirical observations, we propose an enhanced model of teacher professional learning. This model re-envisions effective STEAM development not as a finite event, but as a self-sustaining, iterative cycle. In this cycle, successful teaching performance, deepening content and pedagogical knowledge (or pedagogical content knowledge), and affirming teacher beliefs form a powerful, virtuous feedback loop. A central and vital tenet of this model is its explicit affirmation of the inextricable and reciprocal link between teacher learning and student learning; one cannot be fully understood or optimized without the other in the context of meaningful STEAM education. This investigation, therefore, makes a significant contribution by bridging the discourse between teacher self-efficacy theory, the design of professional learning ecosystems, and the urgent practical need for transformative professional development that can truly empower educators to master the art and science of interdisciplinary teaching.

Pages: 45

The landscape of K-12 STEM education is undergoing a quiet revolution, propelled by the immersive capabilities of virtual and augmented reality (VR/AR). While the potential of these technologies to transform learning is a subject of intense discussion, a clear and comprehensive map of their actual efficacy and application within science, technology, engineering, and math classrooms has remained elusive. This study aims to construct such a map by conducting a meticulous, systematic analysis of 117 empirical studies from the past decade, framed within an established technology-based learning model. Utilizing the PRISMA protocol to ensure rigor and reproducibility, the investigation dissects the literature across multiple dimensions: from research methodologies and participant profiles to the specific technological tools, pedagogical theories, and learning outcomes documented. The findings reveal a field in a state of rapid, yet uneven, evolution. Scholarly interest has surged dramatically since 2017, indicating a tipping point in academic and practical engagement. However, this growth is not uniformly distributed across disciplines. Science education has emerged as the primary testing ground for VR/AR, dominating the research landscape, while mathematics and truly interdisciplinary STEM projects occupy a significantly smaller niche, representing a critical area for future development. Technologically, the field has been democratized by the widespread adoption of mobile AR, which leverages the ubiquitous smartphones and tablets already in students’ hands. In stark contrast, high-immersion, dedicated AR hardware remains a rarity in studies, hinting at significant barriers related to cost and accessibility. Furthermore, the research focus has disproportionately settled on elementary education, leaving the more complex curricular needs and pedagogical opportunities of secondary school students largely unexplored. Methodologically, the domain is currently dominated by quantitative studies seeking to measure the “what” and “how much” of learning gains. The pedagogical strategies that naturally align with VR/AR are those that emphasize context and interaction. The analysis identified situated learning, which anchors knowledge in authentic environments; task-based learning, which focuses on goal-oriented problem-solving; and game-based learning, which leverages engagement and motivation, as the three dominant frameworks. This points to a broader pedagogical shift away from passive reception of knowledge and towards active, experiential discovery. The impact of integrating these immersive tools is profoundly dualistic, presenting a tapestry of significant promise woven with substantial challenge. On one hand, the benefits are compelling. For the learner, VR/AR can powerfully enhance cognitive domains through stunning visualizations of abstract concepts and improve affective domains by boosting motivation and engagement. For the instructor, these technologies serve as powerful new instruments for demonstrating complex processes and fostering interactive participation. On the other hand, the challenges are systemic and multifaceted. Students can be overwhelmed by cognitive load, frustrated by technical glitches, or sidelined by physical discomfort like cybersickness. For teachers, adoption demands a fundamental shift in their role—from knowledge-deliverer to facilitator of technology-rich experiences—requiring new skills in classroom management, digital curriculum design, and technical troubleshooting. At the institutional level, the hurdles are even greater. Schools must navigate the prohibitive costs of hardware and software, the limitations of existing network infrastructure, and serious, unresolved ethical concerns regarding student privacy and data security within immersive digital platforms. In conclusion, this review does not merely catalog the current state of VR/AR in STEM education; it sounds a call for a more nuanced and strategic approach to its future. To move beyond the initial hype and overcome the identified obstacles, the study culminates in six targeted research agendas designed to deepen theoretical foundations and refine practical applications. Simultaneously, it provides a strategic framework for educators, administrators, and policymakers, offering actionable guidance to navigate the complexities of implementation, mitigate the inherent risks, and ultimately harness the transformative potential of VR/AR to create more engaging, effective, and equitable learning experiences for all K-12 students.

Pages: 26

The global economic and technological landscape is increasingly being shaped by advancements in science, technology, engineering, and mathematics (STEM). This reality elevates a pressing question for educators and policymakers: what specific forces drive a student toward a STEM career? In the digital age, coding and computational thinking have emerged as a foundational literacy, a new form of fluency that is as crucial as traditional numeracy or literacy. While the broad influence of academic interest on career choice is well-documented, a more granular and potent motivator has remained in the shadows: the role of intrinsic coding interest. This is not merely about recognizing coding’s utility, but about the inherent satisfaction, the sense of puzzle-solving, and the creative thrill a student experiences when programming. The relationship between this specific form of enjoyment and the formation of long-term STEM ambitions is a critical, yet underexplored, nexus. Addressing this gap is paramount, as a deeper understanding could fundamentally reshape how we cultivate the next generation of innovators and problem-solvers. To illuminate these complex dynamics, this research engaged 669 students from three senior high schools in major metropolitan centers within China, a nation actively positioning itself at the forefront of the global digital economy. The study employed a rigorous quantitative, cross-sectional survey methodology. The collected data was then analyzed using Structural Equation Modeling (SEM), a sophisticated statistical technique ideal for testing and validating multifaceted theoretical models that involve direct and indirect relationships between variables. The findings of this investigation provide a robust and nuanced map of the motivational pathways leading to STEM career interest. The analysis confirms a powerful direct link: a genuine, intrinsic interest in coding is a strong and significant predictor of a student’s aspiration to pursue a career in STEM fields. However, the story is richer than this direct connection. The research uncovered two pivotal psychological mechanisms that act as conduits for this interest. First, the joy of coding builds coding self-efficacy—that is, it fortifies a student’s internal belief in their own capability to perform coding tasks successfully. Second, it shapes perceptions of coders, transforming the image of a programmer from a sterile technician to an engaged creator and innovator. It is through the strengthening of this self-confidence and the cultivation of these positive professional perceptions that intrinsic interest exerts its most profound indirect influence on STEM career aspirations. By integrating these direct and indirect pathways, this study successfully establishes a new theoretical framework with considerable explanatory power. The final model accounts for a remarkable 64% of the variance in STEM career interest among the participants, underscoring its robustness and the central importance of the factors it identifies. In conclusion, this research makes significant dual contributions. Theoretically, it moves beyond broad generalizations to delineate the specific cognitive and affective processes through which a passion for coding translates into professional ambition. Practically, it offers a clear, evidence-based mandate for educational strategy. The results argue compellingly for moving beyond curricula that simply teach coding syntax to those designed to spark genuine engagement and enjoyment. By creating learning environments that foster curiosity-driven exploration, build authentic self-belief, and reframe the identity of STEM professionals, we can more effectively inspire and nurture the talent essential for future technological progress.

Pages: 37

In the 21st century, the ability to code has transcended its status as a niche technical skill to become a foundational pillar of modern literacy, deeply intertwined with economic competitiveness, scientific progress, and societal evolution. It is the engine of innovation, driving advancements from artificial intelligence to biotechnology. Yet, a persistent and troubling paradox defines the educational landscape: even as the demand for computational skills skyrockets, a widespread disengagement and lack of confidence often characterizes the student experience in computer science classrooms. This chasm between societal need and student disposition points to a critical, under-explored frontier in educational research—the human, affective elements of learning to code. While we have grown adept at teaching syntactic rules and logical structures, our understanding of the emotional and belief systems that students bring to this learning, including their motivations, anxieties, and self-perceptions, remains fragmented and underdeveloped. This study positions itself directly within this scholarly void, seeking to systematically map the psychological bridges that connect students’ experiences in one cognitive domain to their engagement in another. We propose that the journey into coding does not begin in a vacuum; rather, it is often paved with prior academic attitudes and competencies. Specifically, we investigate the powerful, yet underexplored, role of mathematics as a potential gateway or a psychological precursor to coding. The central question guiding this inquiry is: To what extent do a student’s established interest in mathematics and their belief in their own mathematical capabilities serve as catalysts for cultivating a parallel interest and sense of self-efficacy in the realm of coding? This line of investigation is predicated on the conceptual kinship between the two disciplines, which share a common language of logic, abstraction, and structured problem-solving. To ground this theoretical inquiry in empirical reality, our research engaged a strategically selected cohort of 605 senior high school students from major urban centers in China. This demographic is of particular significance; the senior high school years represent a pivotal juncture where academic interests crystallize, career pathways are contemplated, and core identities in science, technology, engineering, and mathematics (STEM) are often solidified or abandoned. Capturing data at this critical stage provides a unique window into the formation of long-term STEM dispositions. Methodologically, we employed a robust quantitative framework, utilizing a cross-sectional survey design and analyzing the collected data through a two-step structural equation modeling (SEM) approach. This sophisticated technique allowed us to not only validate the psychological constructs we were measuring but also to untangle the complex web of direct and indirect relationships between them, painting a nuanced picture of the underlying psychological dynamics. The findings from our analysis reveal a compelling narrative of interconnected motivations and beliefs. We discovered that an intrinsic interest in mathematics is not merely a correlational factor but a potent, direct driver of interest in coding. Students who find genuine engagement and pleasure in solving mathematical problems are demonstrably more likely to exhibit a natural curiosity and motivation toward programming tasks. Furthermore, the influence of mathematics interest is not confined to this direct pathway. It also operates through more subtle, indirect channels, ultimately shaping a student’s confidence in their coding abilities—their coding self-efficacy. In a similarly indirect manner, a student’s pre-existing confidence in their mathematical skills (mathematics self-efficacy) was shown to be a significant contributor to their growing interest in coding. This suggests that the assurance gained from mastering mathematical concepts can create a psychological readiness and openness to engage with the logical challenges of coding. A paramount conclusion of this research is the demonstrated explanatory power of our theoretical model, which successfully accounted for a substantial portion of the variance in students’ coding interest. This underscores the profound interconnectedness of affective domains within STEM education. By empirically establishing that positive dispositions in mathematics can actively seed and nurture corresponding dispositions in coding, this study makes a substantial contribution. It moves beyond siloed discussions of computer science education, arguing for a more integrated understanding of how psychological capital transfers between related academic disciplines. For educators and policymakers, these insights are invaluable, suggesting that fostering a positive and confident learning environment in mathematics may be one of the most effective strategies for building the resilient and motivated coders of the future.

Pages: 23

The digital landscape has profoundly reshaped the ecology of learning, creating a rich and pervasive environment for informal knowledge acquisition outside the classroom walls. While these unstructured learning experiences are becoming commonplace, their specific pedagogical value, particularly within rigorous and hierarchical disciplines like mathematics, remains a relatively uncharted area of academic inquiry. This knowledge gap is most pronounced in the realm of technology-related informal mathematics learning activities (TRLA)—a domain encompassing everything from sophisticated educational applications and interactive online puzzle games to on-demand instructional video platforms. Moving beyond a mere comparison with formal education, this study posits that TRLA represents a unique and potent vector of influence on the socio-cognitive dimensions of learning. To illuminate this, we construct and empirically validate a comprehensive conceptual model that investigates how TRLA cascades through four pivotal educational constructs: mathematics self-efficacy (MSE), mathematics interest (MI), self-regulation in mathematics learning (SR), and the teacher-student relationship (TSR). These constructs were deliberately chosen as they are well-established pillars, known to be robust predictors of not only academic performance but also overall student engagement and well-being. To ground this theoretical model in empirical reality, a quantitative, cross-sectional research design was implemented. A meticulously developed survey instrument was administered to a cohort of 460 students, providing a robust snapshot of their perceptions and engagement levels at a single, critical point in time. The subsequent analysis employed a rigorous two-step structural equation modeling (SEM) approach. This involved first establishing a solid psychometric foundation by confirming the measurement model’s reliability and validity, before proceeding to test the intricate web of hypothesized structural relationships. This methodological precision ensures that the findings are built upon a statistically sound base. The results reveal a complex and dynamic picture of TRLA’s impact, extending far beyond simple skill acquisition. The analysis confirmed powerful direct effects, demonstrating that consistent engagement with TRLA significantly amplifies students’ intrinsic curiosity and enjoyment of mathematics (MI), while simultaneously equipping them with more advanced strategies for self-regulated learning (SR). This suggests that informal digital activities do more than teach content; they teach students how to learn independently. Perhaps more surprisingly, the model uncovered a significant network of indirect effects. TRLA acts as a catalyst, setting in motion a positive feedback loop: by fostering greater interest and sharpening self-regulatory skills, these informal activities subsequently build students’ foundational confidence in their mathematical abilities (MSE). In a particularly compelling finding, this chain of positive development ultimately translates into a more positive and supportive perception of their relationship with mathematics teachers (TSR). It appears that the confidence and competence gained informally empower students to engage more productively and openly in the formal classroom setting. This research ultimately underscores the transformative, yet often overlooked, potential of informal, technology-facilitated learning in mathematics education. The study argues that TRLA should not be viewed as a peripheral distraction or a mere supplement, but as a synergistic force that can profoundly complement traditional pedagogy. The findings offer a clear mandate for educators and curriculum designers: to consciously acknowledge, and strategically integrate, these informal learning opportunities. By doing so, they can cultivate an educational environment that nurtures not only mathematical proficiency but also the essential drivers of long-term success—robust motivation, resilient self-confidence, and collaborative classroom dynamics.

Pages: 15

The omnipresence of smartphones in modern life has catalyzed a growing societal concern regarding their compulsive use. This global phenomenon extends beyond mere convenience, weaving itself into the fabric of daily existence and raising critical questions about its long-term effects on human welfare. Within the broader landscape of health implications, a specific and crucial area of inquiry has remained relatively in the shadows: the consequences for academic learning. The unique conditions of the COVID-19 pandemic acted as a potent accelerant to this issue. As home quarantine and social distancing mandates took effect, the digital world, accessed primarily through mobile devices, became the principal conduit for education, work, and social interaction. This sudden and near-total reliance on screens created a fertile ground for exacerbating pre-existing patterns of problematic usage, transforming the smartphone from a tool into a lifeline and, for some, a source of academic vulnerability. It is within this unprecedented context that our research positions itself, seeking to illuminate the specific impact of dysfunctional mobile phone engagement on the foundational pillars of mathematics education. We focused on two interdependent psychological constructs: mathematics self-efficacy, which is a student’s belief in their capability to perform and succeed in mathematical tasks, and mathematics anxiety, the feeling of tension and fear that interferes with manipulating numbers and solving mathematical problems. To capture this phenomenon at its peak, data were strategically gathered from 420 university students in March 2022, a period coinciding with a stringent, large-scale lockdown in Shanghai, China. This timing allowed us to observe these dynamics during a period of enforced remote learning, where mobile phones were central to the educational experience. Our application of structural equation modeling to this dataset yielded compelling and clear results. The analysis demonstrated that problematic mobile phone use exerts a powerful and direct negative influence, significantly amplifying feelings of mathematics anxiety among students. Beyond this direct effect, we uncovered a more subtle, yet equally significant, indirect pathway. The data reveals that excessive phone use systematically erodes students’ mathematics self-efficacy, creating a crisis of confidence in their own abilities. This diminished self-belief subsequently serves as a key mechanism that further fuels their anxiety, creating a vicious cycle of doubt and fear. These findings carry substantial implications for educators, policymakers, and the public. They move the conversation beyond general warnings about screen time and pinpoint specific pedagogical risks. The study underscores that problematic phone use is not a benign distraction but an active force that can corrode the very confidence and emotional stability required for academic success in quantitative disciplines. In conclusion, we advocate for a heightened institutional awareness of these dangers, urging the development of strategies and digital literacy programs aimed at fostering a healthier relationship with technology, particularly in learning environments that are increasingly blended or potentially disrupted by future crises.