Predicting learner performance with precision is critical within educational systems, offering a basis for tailored interventions and instruction. The advent of big data analytics presents an opportunity to employ Machine Learning (ML) techniques to this end. Real-world data availability is often hampered by privacy concerns, prompting a shift…

An intraverbal assessment was administered to older adults with aphasia, using a hierarchy of questions that required increasingly complex verbal discriminative stimulus control. Five categories of errors were defined and analyzed for putative stimulus control, with the aim to identify requisite assessment components leading to more efficient and…

Dynamic assessment has been proven to effectively promote EFL learners' speaking proficiency, but its implementation in teaching speaking skills has been limited. One of the main reasons is that, thus far, very few studies have scrutinized the impacts of its two main models, interactionist and interventionist, on the speaking sub-skills of EFL…

Investigators often rely on the proportion of correct responses in an assessment when describing the impact of early mathematics interventions on child outcomes. Here, we propose a shift in focus to the relative sophistication of problem-solving strategies and offer methodological guidance to researchers interested in working with strategies. We…

The rationality and the effectiveness of classroom teaching behavior directly influence the quality of classroom instruction. Analyzing teaching behavior intelligently can provide robust data support for teacher development and teaching supervision. By observing verbal and nonverbal behaviors of teachers in the classroom, valuable data on…

School climate is critical to school effectiveness, but there is limited large-scale data available to examine the magnitude and nature of the relationship between school climate and school improvement. Drawing on statewide administrative data linked with unique teacher survey data in Michigan, we examine whether school climate appeared to play a…

The complexity associated with how interventions result--or fail to result--in outcomes and how context matters is increasingly recognised. Logic models provide an important tool for handling complexity, with contrasting uses in programme evaluation and evidence synthesis. To reconcile these, we developed an approach that combines the strengths of…

Logic models have garnered acclaim for their usefulness and disdain for the time required to create good ones. We argue that the orderly, analytical nature of logic models is opposed to many Extension programs, and we explain developmental evaluation, an approach that highlights ongoing development, adaptations, and rapid response. We use our…

Executive functions (EF) are a collection of cognitive domains governing task initiation, motor planning, attention, and goal-oriented action. Difficulties with EF have marked impacts on adaptive living skills, learning outcomes, and quality of life for people with cognitive and psychosocial disabilities, as well as the broader population. While…

Automatic assessment and evaluation of team performance during collaborative tasks is key to the research on learning analytics and computer-supported cooperative work. There is growing interest in the use of gaze-oriented cues for evaluating the collaboration and cooperativeness of teams. However, collecting gaze data using eye-trackers is not…

DE programming in higher education should be designed to increase student success, and well-designed corequisite models have shown great potential as an accelerated option for completion of the first college-level course in math. With the support of a Texas Higher Education Coordinating Board grant, Tarleton State University, a member institution…

Although some assessment modes have proved successful, many learning problems encountered by low achieving learners need to be fixed by a more procedurally adequate remedial classroom assessment. Many EFL instructors adopt conventional and static modes of assessment rather than flexible and humanistic assessment modes. Hence, the study aims at…

The Strategic Universal Design for Learning Course Development (S-UDLCD™) Faculty & Institutional Evaluation System (2023) is a research-based framework for assessing faculty performance, enhancing student retention, and improving institutional effectiveness. Unlike traditional models, this system integrates predictive analytics, student…

Objective: The purpose of this article is to review a crisis intervention using the developmental-ecological protocol (Collins and Collins, 2005) with a college student presenting with symptomatology of an active eating disorder. Participants: Participants included University Wellness Center employees responding to the crisis. Methods: Methods…

The authors evaluated the effectiveness of a brief training intervention with graduate counseling students who used the HIRE (history, interest in change, reasons for engaging in the behavior, and exposure to risk; Buser & Buser, 2013b) model for the informal assessment of nonsuicidal self-injury. The intervention group demonstrated…