Coaching is an essential component of supporting teachers to implement evidence-based practices (EBPs) in classrooms. The Self-Determined Learning Model of Instruction (SDLMI), an EBP designed to promote student self-determination, uses a research-based coaching model with six guiding principles. This qualitative study analyzed the content of…

Little empirical evidence is available on what drives young people to engage in higher education. Such knowledge is crucial in order to motivate students to make the most of their potential. This study surveyed a total of 294 Swedish high school students. The result shows that intentions play a mediating role between students' attitudes and the…

The massive open online course (MOOC) is emerging as the new paradigm for modern education. The success of MOOCs depends on learners' continued usage. Drawing upon the information systems success model (IS success model) and technology acceptance model, a theoretical model for studying learners' continuance intentions toward participation in MOOCs…

Participants were administered multiple measures of phonological awareness, oral language, and rapid automatized naming at the beginning of kindergarten and multiple measures of word reading at the end of second grade. A structural equation model was fit to the data and latent scores were used to identify children with a deficit in phonological…

Competency-based approaches using information and communication technologies have been the main solution of the organization's expectations in all fields (public and private) to increase the products' quality and employees' capacity. Furthermore, the concept of competency can have several different definitions, which may make it difficult to…

Adjacent category logit models are ordered regression models that focus on comparisons of adjacent categories. These models are particularly useful for ordinal response variables with categories that are of substantive interest. In this article, we consider unconstrained and constrained versions of the partial adjacent category logit model, which…

This chapter revisits a developmental model of professors-as-teachers that provides a useful framework for considering emotion in teaching and learning.

Purpose: The purpose of this paper is to develop a conceptual framework along with a set of hypotheses that reflects the dynamic relationships that operate within an entrepreneurial land-based university in order to then undertake empirical research. Design/methodology/approach: This paper, through reflection on existing literature, critiques the…

Contemporary academic scholarship has devoted a tremendous amount of effort to documenting the prevalent standardized, formal schooling environment. Too little has been written about the persistence of small, independent progressive schools that have never stopped putting their students' individual needs and interests first. Peachtown Elementary…

This article introduces new perspectives, principles and recommendations for the successful development of teacher leadership. It draws from literature on teacher leadership, work redesign, and on-the-job leadership development to explore key insights and questions for teacher leadership development, and it presents a conceptual-theoretical model…

Teaching modeling in computer science is complicated. Many factors contribute, and are related in diverse ways. We regard some combinations as more successful than others, but we also value diversity, and we struggle to elucidate the relationships and our value structure. Similar remarks apply to the study of biological ecosystems. This…

This article provides a defence of my theoretical analysis of paradigm shift in contemporary religious education, particularly in light of Robert Jackson's (2015) article published in this journal: 'Misrepresenting religious education's past and present in looking forward: Gearon using Kuhn's concepts of paradigm, paradigm shift and…

People use commonsense science knowledge to flexibly explain, predict, and manipulate the world around them, yet we lack computational models of how this commonsense science knowledge is represented, acquired, utilized, and revised. This is an important challenge for cognitive science: Building higher order computational models in this area will…

How do newborns learn to recognize objects? According to temporal learning models in computational neuroscience, the brain constructs object representations by extracting smoothly changing features from the environment. To date, however, it is unknown whether newborns depend on smoothly changing features to build invariant object representations.…

Infant language learners are faced with the difficult inductive problem of determining how new words map to novel or known objects in their environment. Bayesian inference models have been successful at using the sparse information available in natural child-directed speech to build candidate lexicons and infer speakers' referential intentions. We…