Despite the growing interest in using multimodal data to analyse students' actions in Computers-Supported Collaborative Learning (CSCL) settings, studying teacher's orchestration load in such settings remains overlooked. The notion of classroom orchestration, and orchestration load, offer a lens to study the implications of increasingly complex…

Connecting teachers' perspectives with their practice is an enduring challenge shaping what and how we understand teaching. Researchers tend to bifurcate teachers' work between their private and their public lives. These "worlds" bring particular meanings that are rendered through the analyses of visual documentations of teaching and…

With the creation of interactive tasks that allow students to explore spatial ways of knowing in conjunction with their other ways of knowing the world, we create a space where students can make sense of information as they organize these new ideas into their already existing schema. Through the use of a Common Online Data Analysis Platform…

Understanding data analysis and interpreting data are key components of teaching interdisciplinary undergraduate students. We detail a semester-long research project that introduces students to long-term data sets, incorporates the use of widely available statistical analysis, and underscores an inquiry-based method of teaching climate change. Our…

This publication describes the methods and procedures used for the 2008/18 Baccalaureate and Beyond Longitudinal Study (B&B:08/18). The B&B graduates, who completed the requirements for a bachelor's degree during the 2007-08 academic year, were first surveyed as part of the 2008 National Postsecondary Student Aid Study (NPSAS:08), and then…

Even under ideal conditions, teaching is tough work. Facing unrelenting pressure from administrators and parents and caught in a race against time to improve student outcomes, educators can easily become discouraged (or worse, burn out completely) without a robust coaching system in place to support them. For more than 20 years, perfecting such a…

Purpose: Organizational learning (OL) has been conceptualized as a critical component in school change processes. Nevertheless, OL in the school context is still somewhat obscure and difficult to comprehend, thus it is rarely translated into operational structures and processes and later permanently sustained. The purpose of this study is to…

The process of analyzing student data to determine an appropriate instructional decision is crucial for student academic growth. This article details how teachers can make data-driven decisions to carefully design writing instruction. Steps are presented for teachers to follow throughout the data driven decision-making process in order to meet…

This research explores the use of eXplainable Artificial Intelligence (XAI) in Educational Data Mining (EDM) to improve the performance and explainability of artificial intelligence (AI) and machine learning (ML) models predicting at-risk students. Explainable predictions provide students and educators with more insight into at-risk indicators and…

In today's information age, developing data science competencies has become vital to fostering responsible citizenry. However, the actual techniques learners need to become proficient in are still somewhat "in-construction", as the relatively new field of data science is constantly expanding to meet new data-related demands. Data science…

This paper explores how trust in teacher professional judgment has been reconstituted through the globalised trends of performative accountability and reductive data-driven logics. The article draws upon empirical research from interviews with teachers and school leaders as well as observations of teacher preparation days, classroom and staff…

Partnerships between the Early Hearing Detection and Intervention (EHDI) program and Part C of the Individuals with Disabilities Education Act (IDEA) program can support and improve outcomes for children who are deaf or hard of hearing (DHH) and their families. Collaboration between these programs is specified in the IDEA Part C Regulations 34 CFR…

Drawing on 16 years of nationally representative survey data from 2007-2022, I demonstrate that partisan gaps--the average differences in public opinion between Democrats and Republicans--have widened on many education issues. The growth of the partisan gaps consistently exceeds what would be expected due to the changing demographic compositions…

This study investigated the mediated distributed leadership effects on student achievement through teacher job satisfaction and disciplinary climate in Turkish high schools. We employed school-, teacher-, and student-level datasets drawn from the 2018 PISA and TALIS datasets and performed a multilevel structural equation model (MSEM). The results…

This study aimed at understanding and investigating the lived experiences of early childhood teachers' observation practices as a professional tool. Interpretative phenomenological approach was utilized to investigate participants' experiences deeply from their lived experiences. The current study's participants consisted of five early childhood…