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In a flipped classroom, students engage in active learning during class time and have individual information‑transmission outside class time. University students need to complete the pre/post‑class activities to fully benefit from flipped classroom. It is important that teachers adopt practical methods including teacher‑student out‑of‑classroom communication (OCC) to help students manage their time effectively and stay on task. This research examines the practice of OOC in a flipped first‑year postgraduate Business Law course at an Australian university that comprises a large overseas student cohort. By means of a questionnaire, the researcher collected data about student perceptions of OCC, their motives for engaging in OCC, and the change of the motives in a flipped classroom. Student demographics, online participation, and academic performance data were exported from the university database. The student answers, participation, and performance were measured and compared with t‑tests. The preliminary results show that in a flipped classroom, students were more motivated to engage in OCC. Moreover, the short‑term online participation improved for the students who were communicated by the teacher outside classroom. However, an analysis of the data indicated no statistically significant difference in students’ academic performance. In the concluding sections of this paper, the limitations of this study are acknowledged, followed by several recommendations for future research.

It is now widely believed that classroom dialogue matters as regards student outcomes, with optimal patterns often regarded as requiring some or all of open questions, elaboration of previous contributions, reasoned discussion of competing viewpoints, linkage and coordination across contributions, metacognitive engagement with dialogue, and high student participation. To date, however, the relevance of such features has been most convincingly examined in relation to small-group interaction among students; little is known about their applicability to teacher-student dialogue. This article reports a large-scale study that permits some rebalancing. The study revolved around 2 lessons (covering 2 of mathematics, literacy, and science) that were video recorded in each of 72 demographically diverse classrooms (students' ages 10-11 years). Key measures of teacher-student dialogue were related to 6 indices of student outcome, which jointly covered curriculum mastery, reasoning, and educationally relevant attitudes. Prior attainment and attitudes were considered in analyses, as were other factors (e.g., student demographics and further aspects of classroom practice) that might confound interpretation of dialogue-outcome relations. So long as students participated extensively, elaboration and querying of previous contributions were found to be positively associated with curriculum mastery, and elaboration was also positively associated with attitudes.

The Educators Rising conference will give future teachers an opportunity to demonstrate their skills and learn from peers and professionals. Katelen Bennett is the 2022-23 Educators Rising National Student Vice President of Communications. Tiana Jackson is the recipient of the Dr. J. Arnold Webb Endowed Scholarship for 2022. Amy Weems is spotlighted for her support of Educators Rising.

Visual expertise has been explored in numerous professions, but research on teachers' vision remains limited. Teachers' visual expertise is an important professional skill, particularly the ability to simultaneously perceive and interpret classroom situations for effective classroom management. This skill is complex and relies on an awareness of classroom events. Using eye tracking measurements and verbal think aloud, we investigated differences in how expert and novice teachers perceive problematic classroom scenes. Sixty-seven teachers participated, 35 experienced secondary school teachers (experts) and 32 teachers-in-training (novices). Participants viewed videos of authentic lessons and their eye movements were recorded as they verbalized thoughts about what they had seen in the lesson and how it was relevant to classroom management. Two different types of videos were viewed: lesson fragments showing (1) multiple events depicting disengaged students with no overt disruptions and (2) multiple events that included a prominent disruptive event affecting the class. Analysis of eye movements showed that novices' viewing was more dispersed whereas experts' was more focused. Irrespective of the video type, expert teachers focused their attention on areas where relevant information was available, while novice teachers' attention was more scattered across the classroom. Experts' perception appears to be more knowledge-driven whereas novices' appears more image-driven. Experts monitored more areas than novices, while novices skipped more areas than experts. Word usage also differed, showing that expertise was associated with a higher frequency of words referencing cognition, perception, and events than novices.

Equity in mathematics classroom discourse is a pressing concern, but analyzing issues of equity using observational tools remains a challenge. In this article, the authors propose equity analytics as a quantitative approach to analyzing aspects of equity and inequity in classrooms. They introduce a classroom observation tool that focuses on relatively low-inference dimensions of classroom discourse, which are cross-tabulated with demographic markers (e.g., gender, race) to identify patterns of more and less equitable participation within and across lessons.

In this paper, we argue that classroom management, student support, and cognitive activation are generic aspects of classroom teaching, forming Three Basic Dimensions of teaching quality. The conceptual framework was developed in research on mathematics instruction but it is supposed to generalize across subjects. It is based on general theories of schooling and teaching as well as established theories and research traditions from educational psychology. Although used frequently in German-speaking countries, no comprehensive overview of the theoretical foundation as well as the existing evidence regarding the framework, including its strengths and weaknesses, exists so far. The present paper therefore presents first an overview of the theoretical rationale of the framework. Second, it gives an overview of differences and commonalities in the operationalizations of the Three Basic Dimensions in different studies, including a comprehensive set of sub-dimensions. Third, evidence on the reliability and validity of the dimensions is reviewed, with good results for reliability and mixed results for predictive validity. Fourth, an analysis of three mathematics lessons using observer ratings illustrates how the framework of the Three Basic Dimensions can be used for investigating instructional quality. Finally, strengths and limitations of the framework for capturing instructional quality are discussed and we elaborate on the framework's potential for further development. (DIPF/Orig.).

The authors advance an argument that placing observation of actual teaching as a central feature of accountability frameworks, teacher preparation, and basic science could result in substantial improvements in instruction and related social processes and a science of the production of teaching and teachers. Teachers' behavioral interactions with students can be (a) assessed observationally using standardized protocols, (b) analyzed systematically with regard to sources of error, (c) validated for predicting student learning, and (d) changed (improved) as a function of specific and aligned supports provided to teachers; exposure to such supports is predictive of greater student learning gains. These methods have considerable promise; along with measurement challenges, some of which pertain to psychometrics, efficiency, and costs, they merit attention, rigorous study, and substantial research investments.

This study examined willingness to communicate (WTC) in English among Iranian EFL learners in the classroom context. For this purpose, a second language willingness to communicate (L2WTC) model based on WTC theory (MacIntyre, Clément, Dörnyei, & Noels, 1998) and empirical studies was proposed and tested using structural equation modeling (SEM). This model examined the interrelationships among WTC in English, communication confidence, motivation, classroom environment, attitudes toward learning English, and English language achievement. A total of 243 English-major university students in Iran completed a questionnaire. The proposed SEM model adequately fitted the data. Results of the SEM indicated that classroom environment was the strongest direct predictor of L2WTC; communication confidence directly affected WTC; motivation indirectly affected WTC through communication confidence; English language proficiency indirectly affected WTC through communication confidence; and the classroom environment directly affected attitudes, motivation, and communication confidence.

One of the biggest challenges for EFL (English as Foreign Language) students to learn English is the lack of practicing environments. Although language researchers have attempted to conduct flipped classrooms to increase the practicing time in class, EFL students generally have difficulties interacting with peers and teachers in English in class. The advancement of Artificial Intelligence (AI) provides an opportunity to address this problem. With AI technologies, computer systems, in particular in the form of AI chatbots, are able to identify the meanings of users' statements and make responses accordingly. In the research design, AI-based chatbots were employed in the in-class and out-of-class activities for facilitating the students' speaking performance and interactions during the learning process in a university flipped English speaking classroom. The experimental results show that the mind map-guided AI chatbot approach (MM-AI) promoted the students' English speaking performances more than did the conventional AI chatbot approach (C-AI). Moreover, the MM-AI also promoted the students' learning performance and organized the interaction between the robots and humans more than the C-AI did. The findings could be a valuable reference for language educators and researchers who intend to conduct AI-supported flipped classrooms in language learning.