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This inquiry-manifesto delves into the potential transformative impact of what embracing magical knowledge could do for post-materialist educational research. We are laboring toward crafting methodologies that might break free from colonialist biases associated with materialist research to embrace a holistic perspective that acknowledges our interconnectedness with and dependence on the environment and its knowledge. In the form of a dialogue, we propose Anzaldúa's notion of el mundo surdo as an invitation and a theoretical point of departure inviting and a challenging educational researchers who long to think-feel the possibilities of teaching and inquiry that accounts for marginalized traditions and spiritualities not merely acknowledged but also celebrated. [ABSTRACT FROM AUTHOR]

"Lesson study" has garnered considerable attention from educational researchers and practitioners as a promising method for improving instruction. At its core, lesson study reflects a collaborative inquiry process, grounded in cycles of planning, enacting, and reflecting, that promotes teacher learning through active engagement in lesson refinement. In this article, we leverage lesson study as an exemplar case to foreground an examination and application of theory-based evaluation. We overview a novel evaluation framework contextualized to this multidimensional instructional program and draw out the contributions of theory-based evaluation to the study of program effects. To ground the description of this framework, we summarize representative findings from our ongoing evaluation of a lesson study-based instructional program and discuss processes for selecting, using, and managing evidence sources as well as determining causal strands supporting program outcomes. We conclude by discussing lessons learned and implications for theory-based evaluation of complex programs. [ABSTRACT FROM AUTHOR]

There are increasing demands for teachers to continue to improve the quality of education. This focus is evident in the Early Childhood Education and Care sector in Australia where the professionalisation agenda is tied to teacher professional learning. While the Australian Professional Standards for Teachers (AITSL) has strengthened expectations on teachers to engage with research and become inquirers into their own practice, current early childhood documents that guide practice use non-descript terms without ascribing them to research or researching. We argue that greater opportunities are needed for early childhood teachers to be recognised as consumers and producers of research and validated as researchers of their own practice. Professional learning programs, such as the Supporting Oral Language Development (SOLD) Program outlined in this paper, provide the potential to acknowledge and build the research skills of early childhood teachers, thereby supporting their self-efficacy and confidence as researchers. [ABSTRACT FROM AUTHOR]

Educating new students in miniaturization science remains challenging due to the non-intuitive behavior of microscale objects and specialized layer-by-layer assembly approaches. In our analysis of the existing literature, we noted that it remains difficult to have low cost activities that elicit deep learning. Furthermore, few activities have stated learning goals and measurements of effectiveness. To that end, we created a new educational activity that enables students to build and test microfluidic mixers, valves, and bubble generators in the classroom setting with inexpensive, widely-available materials. Although undergraduate and graduate engineering students are able to successfully construct the devices, our activity is unique in that the focus is not on successfully building and operating each device. Instead, it is to gain understanding about miniaturization science, device design, and construction so as to be able to do so independently. Our data show that the activity is appropriate for developing the conceptual understanding of graduate and advanced undergraduate students (n = 57), as well as makes a lasting impression on the students. We also report on observations related to student patterns of misunderstanding and how miniaturization science provides a unique opportunity for educational researchers to elicit and study misconceptions. More broadly, since this activity teaches participants a viable approach to creating microsystems and can be implemented in nearly any global setting, our work democratizes the education of miniaturization science. Noting the broad potential of point-of-care technologies in the global setting, such an activity could empower local experts to address their needs. [ABSTRACT FROM AUTHOR]

Inspired by the recent 21st century social and educational movements toward equity, diversity, and inclusion for disadvantaged groups, educational researchers have sought in conceptualizing fairness in classroom assessment contexts. These efforts have provoked promising key theoretical foundations and empirical investigations to examine fairness in assessment. This review study aims to critically review these theoretical foundations and associated empirical studies to examine their potential for addressing the complex and evolving notions of fairness in classroom assessment contexts. This study also builds on fairness and justice literature in social sciences and broader educational discourses to provide additional theoretical grounds to rethink fairness in classroom assessment. Overall, this study contributes theoretical grounds for future theory-driven empirical research to advance fair assessment practices in classrooms. [ABSTRACT FROM AUTHOR]

Over the past few years, computer science education has expanded globally, including aspects of artificial intelligence (AI), especially in graduate and undergraduate education settings. However, less has been accomplished regarding how to introduce AI to K-12 students. While many K-12 students regularly interact with AI in the form of predictive text, facial recognition, cell phone voice assistants, etc., there has been little effort made by educational researchers regarding how best to introduce K-12 students to AI and help them understand how it works. Artificial intelligence (AI) has become ubiquitous, revolutionizing many of the fields it touches, from medicine to education to the business world, and its capabilities are rapidly expanding along with its role across the globe. AI is applicable across multiple contexts, including K-12 education, and students need to be learning what it is and how it works from a young age so they will be better prepared for a future where AI plays a prominent role. In this article, the author shares three lessons that serve to introduce high school students to artificial intelligence and machine learning. [ABSTRACT FROM AUTHOR]

Mixed methods research (MMR) has been widely adopted in a plethora of disciplines. Integration is the pressing issue regarding the legitimation, the added value, and the quality of using MMR, though inadequate literature has discussed effective strategies used in the field of education, including school psychology, counseling, and teacher education. This study reviewed 119 recently published MMR articles in education using a four-dimension codebook with the goal to explore generic integration strategies and innovative strategies used by educational researchers in practice. As a result, three most commonly used generic integration strategies were identified, including (1) using a good mixed methods (MM) research question to guide research design, (2) using appropriate MM sampling strategy to obtain good data for achieving integration, and (3) using multiple MM data mixing strategies to facilitate integration. Moreover, five creative integration strategies were found at the method level: (1) using an innovative survey to collect both qualitative and quantitative data, (2) using visual support to collect data, (3) using high-tech methods to facilitate data collection, (4) using data visualization in mixing, and (5) quantitizing categorized QUAL data. This review summarizes and analyzes the effective integration strategies commonly used at the research design level and at the method level. It also provides valuable recommendations for educational researchers to explore creative strategies to achieve efficient integration when they conduct mixed methods research. [ABSTRACT FROM AUTHOR]

Although academic resilience is of great concern to contemporary educational practitioners, there is no consensus on its measurement. Furthermore, protective factors characterized by East Asian societal contexts remain ambiguous. This systematic review aims to offer an overview of the operational definitions, statistical methodology, and protective factors of academic resilience identified in East Asian countries/economies. With a focus on large‐scale assessment (LSA) research, three databases (i.e., Web of Science, CNKI, and AiritiLibary) were searched and returned 31 peer‐reviewed studies over the last decade. Results indicated that the definition‐driven method was commonly adopted in international LSA studies (e.g., Programme for the International Student Assessment) to measure academic resilience, and the research conducted in national/regional LSA (e.g., China Education Panel Survey) tended to use the process‐driven approach. Logistic regression was the most frequently data analysis technique utilized in the definition‐driven approach, while structural equation modeling and mediation/moderation analyses accounted for the largest proportion of the process‐driven methods. Our study shed light on the methodological issues of academic resilience in LSA. Additionally, it highlights the aspiration of educational researchers to identify Asian‐specific protective factors from the social‐ecological perspective to propose appropriate interventions fostering academic resilience. Practitioner points: Most international large‐scale assessment studies utilized the definition‐driven method to conceptualize academic resilience, while national/regional large‐scale assessment studies commonly adopted the process‐driven method.Logistic regression was the most prevalent data analysis technique used to explore academic resilience in international large‐scale assessment studies.Emotional styles and behavioral engagement are identified as the most studied protective factors of academic resilience in East Asia. [ABSTRACT FROM AUTHOR]

In response to the spread of COVID-19 in early 2020, schools across the UK moved to virtual teaching arrangements for the majority of their learners. Some localized school closures occurred in England in February 2020, with a national lockdown following in March 2020. Although relaxed in June 2020, concerns about rising cases of the virus led to a second period of enforced school closure across the UK in January 2021. With no sign of the pandemic abating, we wanted to gain insights into teachers' experiences at this unique time. We used a solicited diary method with teachers over a 4-month period to reflect on workload and wellbeing issues related to their changing teaching practices. The diaries were supplemented by a series of teacher interviews. In this paper, we carry out a critical reflection of diary use. We observe how diaries provide a structure for eliciting ideas in an ordered way, and which then become a resource for a teacher's professional reflection. This process also appears to strengthen some of the social connections that were compromised during the social distancing periods of the pandemic, and which has benefits for teachers' wellbeing. [ABSTRACT FROM AUTHOR]

This paper considers what it could mean to say that epistemologies and methodologies are racially just or unjust. It has been argued that this has nothing to do with whether an individual researcher is racist: he or she could be anti-racist but still use an epistemology that is racially biased. To explore this issue, some pioneering research by Allison Davis, an influential African-American scholar in the 1940s and 1950s, is examined. This research dealt with the effects of social class cultures on academic achievement in the United States. While Davis was well-known at the time, his work in this field is now largely forgotten. Two senses of 'racially-just' are examined in this paper, relating: to the intrinsic character or origin of epistemologies and methodologies; or to the implications for and likely consequences of their use. Davis's investigations employed methods and assumptions that are rejected by many educational researchers today. I will address the question of whether these can be criticised as racially unjust; and, if so, on what basis. This evaluation will lead to a consideration of the broader question of the terms in which it is appropriate to assess educational research, and in particular the epistemologies and methodologies on which it depends. [ABSTRACT FROM AUTHOR]

Comprehensive evaluation of treatment effects is aided by considerations for moderated effects. In educational research, the combination of natural hierarchical structures and prevalence of group-administered or shared facilitator treatments often produces three-level partially nested data structures. Literature details planning strategies for a variety of experimental designs when moderation effects are of interest but has yet to establish power formulas for detecting moderation effects in three-level partially nested designs. To address this gap, we derive and assess the accuracy of power formulas for detecting the different types of moderation effects possible in these designs. Using Monte Carlo simulation studies, we probe power rates and adequate sample sizes for detecting the different moderation effects while varying common influential factors including variance in the outcome explained by covariates, magnitude of the moderation effect, and sample sizes. The power formulas developed improve the planning of experimental studies with partial nesting and encourage the inclusion of moderator variables to capture for whom and under what conditions a treatment is effective. Educational researchers also have some initial guidance regarding adequate sample sizes and the factors that influence detecting moderation effects in three-level partially nested designs. [ABSTRACT FROM AUTHOR]

An unresolved dilemma facing many disciplines is how theory and practice can better work together to enhance the decision-making processes on the ground. This widely-known theory-practice gap often contributes to the misdiagnosis of problems and undermines the effectiveness of responses. Despite decades of research into why this gap remains, there is still a continuing and heated debate as to why it exists and how it could be resolved. This article examines the theory-practice gap through a systematic review that draws insights across diverse disciplines such as health, science, governance, and business. It builds a conceptual framework based on the findings, allowing for the analysis of the various drivers and solutions for addressing the gap. The findings show that to resolve this gap is necessary to change our perspective of the gap and understand it as a bilateral issue, where both theory and practice play a role in creating the gap. Thus, solutions to the gap need to follow a cyclical and integrative approach. As the gap may never be fully closed, the framework provides the tools to respond to it whenever it arises. Future research will be required to empirically test and advance the framework. [ABSTRACT FROM AUTHOR]

Uncertainty in education, both general and special, has long troubled educational researchers, reformers, and practitioners. Responding to students with special (atypical) educational needs is an example of decisions that are prone to error. Although some efforts to reduce uncertainty in education are reasonable and helpful, efforts to eliminate uncertainty completely are not only certain to fail but sometimes make matters worse. Changing the structure or framework of education, such as using educational tiers, does not reduce and may increase uncertainty. We offer recommendations for reducing uncertainty in education, given that it cannot be eliminated. [ABSTRACT FROM AUTHOR]