There has been a growing interest in developing learner models to enhance learning and teaching experiences in educational environments. However, existing works have primarily focused on structured environments relying on meticulously crafted representations of tasks, thereby limiting the agent's ability to generalize skills across tasks. In this…

Student modeling is central to many educational technologies as it enables predicting future learning outcomes and designing targeted instructional strategies. However, open-ended learning domains pose challenges for accurately modeling students due to the diverse behaviors and a large space of possible misconceptions. To approach these…

Monitoring the progress of student learning is an important part of teachers' data-based decision making. One such tool that can equip teachers with information about students' learning progress throughout the school year and thus facilitate monitoring and instructional decision making is learning progress assessments. In practical contexts and…

In this article, ethnic minority students describe teachers who helped them succeed in school. Data are drawn from interviews conducted in 1997 with successful students enrolled in a pre-service education program at Yunnan Normal University. Many of the interviewees are now mid-career teachers in schools throughout Yunnan Province. Plans…

This study aimed at evaluating a PISA-like reading test developed by teachers participating in the teacher training for teaching PISA-like reading. To serve this purpose, an experimental test was administered to 107 students aged 15-16 using a set of text and questions constructed according to the criteria of the PISA Reading test Level 1. Item…

Tulsa (Okla.) Public Schools is a model for quality afterschool and summer out-of-school time. With pillars of capacity building, quality improvement of programs and creating a year-round engagement, its program structures have fostered familiarity, normalcy and whole-child support. TPS's education and out-of-school time values focus on the…

In standard statistical data analysis, the effects of intervention or prevention efforts are evaluated in terms of variable relations. Results from application of regression-type methods suggest whether, overall, intervention is successful. In this article, we propose using configural frequency analysis (CFA) either in tandem with regression-type…

The academic achievement of Black boys in the U.S. has been declining, and Black male mentorship can positively change these outcomes. Schools have tried many interventions to help Black boys receive the academic, social, and emotional support they need to close the performance gap. Some case studies have proven that Black male mentorship works.…

The objective of this paper is the design of a predictive model of students' desertion in Educational Institutions based on the Analytic Hierarchy Process (AHP). The proposed model is based on a weighted sum of individual probabilities of desertion associated with various factors (explanatory variables) by experts in the combined use of the AHP…

This study aims to explore the significant variables affecting online knowledge-sharing and the hierarchical structure, from the perspective of online learners. To comprehensively discuss the relationship between these variables, binary logit regression and interpretative structural model (ISM) was used. Based on literature analysis, the data of…

How can the teaching of knowledge in schools contribute to the development of students as individual human beings, with the capacity not only for problem solving within the existing structures of society but also for developing ideas and solutions that go "beyond the existing structures?" The purpose of this article is to bring this…

Research in human development often relies on composites, that is, composed variables such as indices. Their composite nature renders these variables inaccessible to conventional factor-centric psychometric validation techniques such as confirmatory factor analysis (CFA). In the context of human development research, there is currently no…

There is a growing attention around the preparation of pre-service teachers (PSTs) as both learners and teachers of mathematical modeling. Current literature focuses on preparing PSTs as learners of modeling, and we extend current work by examining how PSTs integrate their understanding of modeling into the work of teaching. This study follows two…

Background: Auditory-perceptual assessment of voice is a subjective procedure. Artificial intelligence with deep learning (DL) may improve the consistency and accessibility of this task. It is unclear how a DL model performs on different acoustic features. Aims: To develop a generalizable DL framework for identifying dysphonia using a…

Background: Blended mathematical sensemaking in science ("Math-Sci sensemaking") involves deep conceptual understanding of quantitative relationships describing scientific phenomena and has been studied in various disciplines. However, no unified characterization of blended Math-Sci sensemaking exists. Results: We developed a theoretical…