Denver, Colorado, is one of the six sites selected to participate in the "New Skills ready network." This five-year initiative, launched by JPMorgan Chase & Co. in 2020, aims to improve student completion of high-quality career pathways. In the first year of the initiative, the Denver, Colorado, team -- working under the name New…

Every day, people use data to make decisions that affect their personal and professional lives, trusting that the data are correct. Many times, however, the data are inaccurate, as a result of a flaw in the design or methodology of the survey used to collect the data. Researchers agree that only questions that are clearly worded, unambiguous, free…

Data-based decision making is enhanced by identifying a precise problem statement or question to explore. When looking at a problem, the nearer we get to the precise problem (e.g., where and when it is occurring, who is involved, and why the problem is continuing in context and location) the more quickly we can build an action plan to effectively…

Predicting the success or failure of a student in a course or program is a problem that has recently been addressed using data mining techniques. In this paper we evaluate some of the most popular classification and regression algorithms on this problem. We address two problems: prediction of approval/failure and prediction of grade. The former is…

Self-regulated learning theories are used to understand the reasons for different levels of university student academic performance. Similarly, learning analytics research proposes the combination of detailed data traces derived from technology-mediated tasks with a variety of algorithms to predict student academic performance. The former approach…

This paper examines how international, large-scale skills assessments (ILSAs) engage with the broader societies they seek to serve and improve. It looks particularly at the discursive work that is done by different interest groups and the media through which the findings become part of public conversations and are translated into usable form in…

The Office of Inspector General (OIG) works to promote efficiency, effectiveness, and integrity in the programs and operations of the U.S. Department of Education (Department). Through OIG's audits, inspections, investigations, and other reviews, they continue to identify areas of concern within the Department's programs and operations and…

Educational outcomes across multiple countries show large gaps between children's grade level curricular expectations and the actual learning levels of children. This paper discusses findings from an early grades literacy study and attempts to explore factors that potentially improve the English language learning results of Grades 3 and 4 learners…

Student feedback collected through program evaluation of secondary education licensure and Master's program clinical experiences prompted us to conduct a collective self-study. We used a reflective framework for analysis and discussion of the shifts students in our courses made as they progressed from observers to practicing teachers. Along with…

The purpose of this study is to carry out a content analysis about the studies on teachers' professional development and to determine the tendencies in these studies. Within this scope, 60 studies that were registered to Turkish National Thesis Centre and ProQuest database between the years 2005-2015 were examined. Of the 60 studies, 37 of them…

Objectives: Health is a central and important concept in nursing and nursing education, and has been theorised about in both positive and negative terms. The purpose of this study was to explore Swedish nursing students' perceptions of the concept of health. Design: A phenomenographic research approach was used to understand how nursing students…

There are usually limited user evaluation of resources on a recommender system, which caused an extremely sparse user rating matrix, and this greatly reduce the accuracy of personalized recommendation, especially for new users or new items. This paper presents a recommendation method based on rating prediction using causal association rules.…

How does AI&EdAIED today compare to 25 years ago? This paper addresses this evolution by identifying six trends. The trends are ongoing and will influence learning technologies going forward. First, the physicality of interactions and the physical space of the learner became genuine components of digital education. The frontier between the…

In an age of assessment and accountability, academic libraries feel much pressure to prove their value according to new university measurements of student success. This study describes a methodology for how libraries may examine student interactions with services to assess whether library usage impacts student grade point averages (GPAs) and…

This article discusses the effects of the datafication and digitalisation of education policy in the context of the Russian Federation. It taps into the policies and practices invented as a result of rising audit cultures and the scientisation and datafication of education governance. These processes turn sites of public examinations into sites of…