Over 10 years of the new college entrance examination reform, the flexible subject selection model has posed challenges to Science, Technology, Engineering, and Math (STEM) majors education in Chinese universities. The relaxation of subject requirements has led to diverse knowledge backgrounds among students, resulting in some lacking a solid…

Background: The learning assistant (LA) model supports student success in undergraduate science courses; however, variation in outcomes has led to a call for more work investigating how the LA model is implemented. In this research, we used cultural historical activity theory (CHAT) to characterize how three different instructors set up…

In the spirit of model revision, researchers continue to refine the notion of a learning progression. Despite many advances in learning progressions research, one key design element has eluded scholarly critique, the upper anchor. Drawing on science education research and studies of science, this essay argues for a shift from the predominant model…

Predicting learning and human behavior in general is a challenging endeavor. Machine learning driven predictive modeling have been an increasingly popular means to understand disparities in student performance. With more than a handful of approaches to predictive modeling, the current literature of predicting learning is plagued with issues such…

Community-campus engagement (CCE) offers transformative opportunities for collaborative knowledge creation. Over the last few decades, thoughtful energy has gone into identifying the parts of a CCE and then developing tools to study these parts, with discrete focus on community groups, students, and faculty. Bringing a complexity science approach…

Implementing inclusive education requires on-going commitment to teachers' professional learning. One way of implementing professional learning is to develop learning communities based on Lave and Wenger's ideas of situated learning and learning as social practice. Learning communities, drawing on models of Professional Learning Communities and…

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…

Prior research has shown that people can learn many nouns (i.e., word--object mappings) from a short series of ambiguous situations containing multiple words and objects. For successful cross-situational learning, people must approximately track which words and referents co-occur most frequently. This study investigates the effects of allowing…

Reading competence is one of the main gateways to learning and serves as the foundation for nearly all academic subjects, but reading is not a natural skill. For beginning and struggling readers, the process of learning to read is often fraught with frustration. Thus, abilities to manage affect or emotions and maintain attention or focus (i.e.…

Phonotactics--constraints on the position and combination of speech sounds within syllables--are subject to statistical differences that gradiently affect speaker and listener behavior (e.g., Vitevitch & Luce, 1999). What statistical properties drive the acquisition of such constraints? Because they are naturally highly correlated, previous…

With use of self-assessment (SA) of young language learners on the rise, educators of young learners often want to know what SA captures and how best to use it in order to assist their students' learning. This study focuses on understanding how young learners' processes for responding to SA items differ by age and by context of implementation…

Purpose: The purpose of this paper is to present and develop models of educational approaches to entrepreneurship that can provide complementary analytical structures to better study, enact and reflect upon the role of entrepreneurship in higher education. Design/methodology/approach A general framework for entrepreneurship education is developed…

Students integrate their learning experiences across contexts through a process of connecting, applying, and synthesizing information, knowledge, and skills.

The process of beginning teacher induction has gained widespread attention in the literature as a means to help newly appointed teachers negotiate the early years of their careers, which are characterized by high attrition rates, due in part to stress, burnout, heavy workloads, and lack of support. While there is empirical evidence to suggest that…

There are many learning theories that have come to explain how people process, think, learn, and apply information. Among those theories are contextualism, connectivism, constructivism, and cognitivism. Those four theories have been taken as references of the current proposed Hendy's 4Cs (contextualizing, connecting, constructing, cognitivizing)…