The exponential growth of scholarly publications in recent years has presented a daunting challenge for researchers to keep track of relevant articles within their research field. To address this issue, we examined the capabilities of InfraNodus, an AI-Powered text network analysis platform. InfraNodus promises to provide insights into any…

Reweighting a distribution to minimize a distance to a target distribution is a powerful and flexible strategy for estimating a wide range of causal effects, but can be challenging in practice because optimal weights typically depend on knowledge of the underlying data generating process. In this paper, we focus on design-based weights, which do…

Adaptive learning is an area of educational technology that consists in delivering personalized learning experiences to address the unique needs of each learner. An important subfield of adaptive learning is learning path personalization: it aims at designing systems that recommend sequences of educational activities to maximize students' learning…

In this paper we examine how teachers who are pursuing their Elementary Mathematics Specialist certification--Elementary Mathematics Specialists in Training (EMSTs)--are positioned in their advice and information networks for mathematics. We analyzed the instructional networks of six elementary schools in one Midwestern school district. Our…

Detailed learning objectives foster an effective and equitable learning environment by clarifying what instructors expect students to learn, rather than requiring students to use prior knowledge to infer these expectations. When questions are labeled with relevant learning goals, students understand which skills are tested by those questions.…

Knowledge tracing (KT), the task of tracking the knowledge state of each student over time, has been assessed actively by artificial intelligence researchers. Recent reports have described that Deep-IRT, which combines Item Response Theory (IRT) with a deep learning model, provides superior performance. It can express the abilities of each student…

Accounting for complex interactions between contextual variables and learners' individual differences in aptitudes and background requires building the means to connect and access learner data at large scales, across time, and in multiple contexts. This paper describes the ASU Learning@Scale (L@S) project to develop a digital learning network…

This paper reports on final findings from phase 1 of a national program of 22 regional networks. This paper presents the overall period for nine networks with three measurements in time. The analysis in this paper draws on quantitative as well as qualitative data. The analysis of the qualitative data show that exchanges of knowledge between…

Leadership in educational settings, especially in schools, has a long history. Instructional leadership is a leadership style that is seen to increase school effectiveness. This study aims to map bibliographic data on instructional leadership over the past eight decades (1941-2022). The quantitative research approach to analyzing bibliographic…

In April 2019, educators from around Aotearoa (New Zealand) and Australia came together to share their experiences of teaching Indigenous public health. The inaugural International Indigenous Public Health Education Leadership Symposium provided an opportunity to (i) discuss the range of challenges of this work, and (ii) to affirm a collective…

Public engagement and collaboration through networked practices--known as networked participatory scholarship (NPS)--may influence academic culture to "support, amplify, and transform scholarship" (Veletsianos & Kimmons, 2012, p. 768). This study examined the open online scholarly community #FemEdTech as it engages in NPS to create,…

The damped harmonic oscillator physics problem is a standard oscillation problem in calculus physics for pre-engineering students in a community college. The use of alternative linear algebra eigenvalue stability method is consistent with the upper engineering courses using control theory. The external force and friction damping would become the…

The assessment of program functionality can generally be accomplished with straight-forward unit tests. However, assessing the design quality of a program is a much more difficult and nuanced problem. Design quality is an important consideration since it affects the readability and maintainability of programs. Assessing design quality and giving…

In educational applications, "Knowledge Tracing" (KT) has been widely studied for decades as it is considered a fundamental task towards adaptive online learning. Among proposed KT methods, Deep Knowledge Tracing (DKT) and its variants are by far the most effective ones due to the high flexibility of the neural network. However, DKT…

This proposal reports on the use of facilitators to help develop networked learning communities. The findings presented herein are derived from a five-year study (2013-2018) designed to ascertain how these collaborative networks function and evolve as well as to assess their possible impact on the educational contexts they are located in.…