This study investigated the mentoring of academics for leadership and management in higher education institutions through the application of contextual intelligence. Experts and professionals generally agree that effective institutional leadership and management mentorship, using contextual knowledge, is crucial for achieving institutional…

When mathematics educators work towards making mathematics more relevant, they often think about including more real-world applications into mathematics lessons. But what happens when a lesson is devoid of real-world contexts? In what ways can students find it relevant? This study explores how high school students perceived relevance when they…

Many previous studies have identified "foreign language anxiety" and "motivation" as two important areas of applied linguistics. This study aims to evaluate the pertinent literature with also providing new information and justifications in past studies on learning anxiety and motivation. In this paper, the first section…

This paper presents WikiMorph, a tool that automatically breaks down words into morphemes, etymological compounds (morphemes from root languages), and generates contextual definitions for each component. It comes in two flavors: a dataset and a deep-learning-based model. The dataset was extracted from Wiktionary and contains over 450k entries. We…

This study investigates the extent to which there is a typology of families who move to a new neighborhood so their child can attend a particular school. By conducting a Latent Class Analysis with a nationally representative dataset, the NHES Parent and Family Involvement in Education Survey (n=2,693), I determine there are four significantly…

This paper is about an instructor in a university teacher program aiming at improving the students' ability for noticing in order to guide subsequent decision-making and actions in teaching. Whereas added awareness may come naturally to some people, others need to develop a habit and a way to identify important aspects. University students tend to…

We introduce DeepPerfEmb, or DPE, a new deep-learning model that captures dense representations of students' online behaviour and meta-data about students and educational content. The model uses these representations to predict student performance. We evaluate DPE on standard datasets from the literature, showing superior performance to the…

This paper investigates optimal practices for teaching Chinese as a foreign language, situated within the context of adult learning theories, with a specific focus on adopting Vygotsky's sociocultural perspective. The examination delves into the theory of genre and its role in constructing meaning within cultural and social contexts, exploring its…

The study presented here utilized a cross case comparison of three different professional development programs to examine the contextual factors associated with uptake related to what teachers learned related to content, pedagogy and the resources used in their professional development (PD) workshops. From a theoretical perspective this study…

Evaluators have opportunities to advance equity within evaluations, yet little research has examined whether and how evaluators center equity in evaluation practice. This paper explores whether and how evaluators in New England address inequities and advance equity throughout evaluation phases. The study uses a complementarity, sequential mixed…

Online crowdsourcing sites/platforms have become popular in recent years. This study aims to uncover when, where, and how language learners in Turkey (TUR), Poland (POL), Macedonia (MAC), and Bosnia and Herzegovina (B&H) make use of the available crowdsourcing websites/games to learn foreign languages. To ensure parallelism among the data…

The rapid development of emerging technologies for mobile devices has enabled them to contribute strongly to the creation of new paths for learning. Mobile learning helps the user to learn at anytime and anywhere and also provides him a unique experience in terms of its flexibility. The problem in mobile learning is not the availability or quality…

The Augmented Reality Game, Pokemon Go, took the world by storm in the summer of 2016. City landscapes were decorated with amusing, colourful objects called Pokemon, and the holiday activities were enhanced by catching these wonderful creatures. In light of this, it is inevitable for mobile language learning researchers to reflect on the impact of…

Recent studies show cluster randomized trials may be well powered to detect mediation or indirect effects in multilevel settings. However, literature has rarely provided guidance on designing cluster-randomized trials aim to assess indirect effects. In this study, we developed closed-form expression to estimate the variance of and the statistical…

This paper explores the concept of dynamically generating definitions using a deep-learning model. We do this by creating a dataset that contains definition entries and contexts associated with each definition. We then fine-tune a GPT-2 based model on the dataset to allow the model to generate contextual definitions. We evaluate our model with…