Students of color, first-generation, and residents of communities experiencing disinvestment--who aspire to obtain meaningful postsecondary degrees, career success, financial security, and social mobility--face tremendous challenges in navigating science, technology, engineering, math, and health science (STEM-H) education and career sectors. The…

Recent advances in Artificial Intelligence (AI) have paved the way for the integration of text-based and voice-enabled chatbots as adaptive virtual tutors in education. Despite the increasing use of AI-powered chatbots in language learning, there is a lack of studies exploring the attitudes and perceptions of teachers and students towards these…

In high-stakes, large-scale, standardized tests with certain time limits, examinees are likely to engage in either one of the three types of behavior (e.g., van der Linden & Guo, 2008; Wang & Xu, 2015): solution behavior, rapid guessing behavior, and cheating behavior. Oftentimes examinees do not always solve all items due to various…

Schools are increasingly turning towards restorative practices as a pathway to building schools with stronger relationships, justice, and equity. While effectiveness studies are increasing, too little attention is focused on evaluating implementation. This resources is for audiences who evaluate implementation of whole school restorative practices…

The University of Massachusetts Amherst (UMA), a public research university, has demonstrated a long-standing commitment to improving working conditions for non-tenure track faculty (NTTF) with a 20-year track record of progressive policies to improve the support for them. This commitment is manifested through a series of improvements in policies,…

Anecdotal evidence points to the importance of school principals, but the limited existing research has neither provided consistent results nor indicated any set of essential characteristics of effective principals. This paper exploits extensive student-level panel data across six states to investigate both variations in principal performance and…

Ohio recognizes that high-quality teachers come from high-quality teacher preparation programs. To help improve the quality of educator preparation programs in Ohio, H.B. 1 of the 128th General Assembly directed the Chancellor of the Ohio Department of Higher Education to develop a system for evaluating Ohio's educator preparation programs (ORC…

The purpose of this research paper is to offer/propose a framework/model of specific imaginative practices, classroom engagement ideas, and implementation pathways that can be adapted across various grade levels within the K-12 (preferably language and literacy) classrooms to utilize the inherent diversity (of lived experiences) amongst the…

Unlike general approaches to learning, the Causalitic-Thinking Approach, aims to construct phenomena that have more than one possible answer. However this approach requires scaffolding strategies. This study aims to investigate the strategy of developing scaffolding in learning with the Causalitic-Thinking Approach to increase students'…

The aim of this study was to analyze pre-service elementary school teachers' Arm Muscle models and elementary school teachers' evaluation viewpoints of their Arm Muscle models as scientific models. The sample of this study consisted of 24 pre-service elementary school and 12 elementary school teachers. Preservice elementary school teachers, who…

Previous researchers have emphasised the need for more student-centred approaches to online learning. This study presents and assesses the feasibility of a tailoring system, which adapts vicarious experience information to best benefit the learners' self-efficacy (SE), based upon the model-observer similarity hypothesis. This hypothesis states…

Background: There is a need to find ways of productively engaging K-12 students with engineering design. I investigate a new class of physical models, referred to as Improvable Models, as scaffolds for helping middle school students productively engage in engineering design practices. Purpose/Hypothesis: The purpose of this study is to answer two…

Randomized controlled trials (RCTs) admit unconfounded design-based inference--randomization largely justifies the assumptions underlying statistical effect estimates--but often have limited sample sizes. However, researchers may have access to big observational data on covariates and outcomes from RCT non-participants. For example, data from A/B…

This paper presents the work done to support student dropout risk prevention in a real online e-learning environment: A Spanish distance university with thousands of undergraduate students. The main goal is to prevent students from abandoning the university by means of retention actions focused on the most at-risk students, trying to maximize the…

In this paper log data on e-book usage is used as part of a learning analytics approach to generate user models which describe university students' characteristics in multiple dimensions. E-book usage is logged and analysed to extract information on how users use e-books for academic purposes. Two cases contributing to user modelling are…