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…

The relevance of foreign language proficiency of university graduates led to the design and pilot study of the of non-linguistic students' language mediation development model. This model was implicated at the MGIMO of the Ministry of Foreign Affairs of Russia, the Odintsovo branch (Moscow Region) in the I-IV courses, Plekhanov University of…

The population of emergent bilingual students (EBs, or English Language Learners, ELLs) is growing steadily in the United States. One common approach to language instruction for EBs is to expose students to a lesson's content vocabulary before teaching the lesson to build students' word banks and background knowledge. An example of this is the…

This article looks at the social and cultural contexts of children's experiences of illness, through a particular focus on the context of the Global South and the role of the social media platform YouTube in children's culture. It takes a socio-constructivist approach to discuss the case of "CarecaTV" (BaldTV), a Brazilian YouTube…

The recent COVID-19 pandemic has forced many institutes of higher learning across the globe to consider alternative modes of providing quality learning for students. However, developing and implementing safe spaces for academic advisement in online platforms that allow college students to explore their environment in an open and curious manner is…

The aim of the present study was to investigate the predictive role of the 3 × 2 achievement goal model on test anxiety in the specific context of Physical Education (PE). Four hundred and eighty-six French students (mean age = 15.83, standard deviation = 1.20) voluntarily and anonymously filled out the Revised Test Anxiety and Regulatory…

In line with the exponential growth in English as a foreign language (EFL) teacher professional identity research, the present study was an attempt to develop and validate a questionnaire on EFL teacher professional identity. Following Pennington (2015), we defined EFL teacher professional identity as "a unique blend of individual teacher…

This article explains the process behind estimating a National Education Cost Model (NECM) and generating from that model projections of per-pupil costs to achieve 2016 national average outcomes (reading and math grades 3 to 8) across all districts in the United States, from 2019-20 to 2020-21. This article is a follow-up to a preliminary report…

Automated Essay Scoring (AES) can reliably grade essays at scale and reduce human effort in both classroom and commercial settings. There are currently three dominant supervised learning paradigms for building AES models: feature-based, neural, and hybrid. While feature-based models are more explainable, neural network models often outperform…

Previous measures of the incidence of public investment in higher education focus on the transfer to public college students. This implies that the net benefits to students who do not attend public colleges is negative. However, they miss potential general equilibrium effects on the private college and labor markets. Changes in the public college…

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…

Feedback on student answers and even during intermediate steps in their solutions to open-ended questions is an important element in math education. Such feedback can help students correct their errors and ultimately lead to improved learning outcomes. Most existing approaches for automated student solution analysis and feedback require manually…

Classifying educational forum posts is a longstanding task in the research of Learning Analytics and Educational Data Mining. Though this task has been tackled by applying both traditional Machine Learning (ML) approaches (e.g., Logistics Regression and Random Forest) and up-to-date Deep Learning (DL) approaches, there lacks a systematic…

This report focuses on data governance at post-secondary institutions and related organizations. Data governance is defined as the formal execution and enforcement of authority over the management of data and data-related assets (Seiner, 2014). An overview of data governance at higher education institutions provides detail on elements of data…

National and state-based assessments have been a common practice for the past several decades. These assessments often come with high-stake consequences for students and schools, which tends towards the creation of a test-centric environment where educators prioritize test-based instruction to prepare students to be successful on those…