How can we test whether state-of-the-art generative models, such as Blender and GPT-3, are good AI teachers, capable of replying to a student in an educational dialogue? Designing an AI teacher test is challenging: although evaluation methods are much-needed, there is no off-the-shelf solution to measuring pedagogical ability. This paper reports…

While the influence of presentation formats have been widely studied in Bayesian reasoning tasks, we present the first systematic investigation of how presentation formats influence information search decisions. Four experiments were conducted across different probabilistic environments, where subjects (N = 2,858) chose between 2 possible search…

Most decision analysis techniques are not taught at higher education institutions. Leaders, project managers and procurement agents in industry have strong technical knowledge, and it is crucial for them to apply this knowledge at the right time to make critical decisions. There are uncertainties, problems, and risks involved in business…

The purpose of this phenomenological case study is to explore the reading attitudes and decision-making skills of college freshmen enrolled in remedial language arts courses. The theoretical framework guiding this study is qualitative phenomenology explained by Baxter and Jack (2008). This specific type of research "provides tools for…

Objective: This study examines how accurately a small set of short-term academic indicators can approximate long-term outcomes of community college students so that decision-makers can take informed actions based on those indicators to evaluate the current progress of large-scale reform efforts on long-term outcomes, which in practice will not be…

Purpose: The purpose of this article is to show how the client-focused considering work model (CFCWM) can be adapted to persons with aphasia as a way to provide a framework for rehabilitation counselors to use when helping persons with aphasia assess their readiness to work. Method: This article first provides a basic overview of aphasia and the…

Purpose: This study examines how district governance and different school contexts in Denver's portfolio management model affect shared leadership for learning. We define this as shared influence on instructional leadership and school-wide decision making, which research suggests have strong ties to student achievement and teacher commitment.…

The statistical structure of a given language likely drives our sensitivity to words' morphological structure. The current work begins to investigate to what degree morphological processing effects observed in visual word recognition can be attributed to statistical regularities between orthography and semantics in English, without any prior…

Much attention has been paid to the effects of study abroad, especially because of recent increases in participation in such programs. One problem, however, is the selection bias of participants inherent in study abroad programs. The present study examines whether participation in a short-term study abroad program leads to participation in further…

We conducted a multi-year study of specialization in elementary mathematics and/or science, using data drawn from a local sample of teachers and a nationwide sample of principals. Using the theory of planned behavior, we compare and contrast teacher and principal views and decision-making processes related to elementary content specialization…

Since the introduction of the specific learning disability (SLD) classification in federal special education legislation, there has been considerable ambiguity and controversy about the criteria that should be used in the determination of SLD (Kavale & Flanagan, 2007; Zumeta et al., 2014). Various models have been introduced to identify…

Learner-centered blended learning approaches, such as Knowledge Creation, emphasize the self-organizing characteristic of thought and action, and value the students' autonomy and self-regulation during the engagement in collaborative learning tasks. In blended contexts, the students need to organize their learning paths within a complex…

Automatic machine learning (AutoML) methods automate the time-consuming, feature-engineering process so that researchers produce accurate student models more quickly and easily. In this paper, we compare two AutoML feature engineering methods in the context of the National Assessment of Educational Progress (NAEP) data mining competition. The…

This study revisits the parameters of authenticity, balance, and challenge in The Kaleidoscope Career Model (KCM) concerning gender differences in midcareer. Unemployed individuals were surveyed (n = 744) to determine gender differences in the three parameters across five segmented career stages. The results showed variance in the Authenticity,…

When university faculty and students use technology, they do so in a specific context and researchers have acknowledged that in order to understand use (or non-use) of technology in higher education they need to account for this. However, although the importance of context is not questioned, there is little consensus over which contexts are…