With the outbreak of the COVID-19 pandemic, educational institutions worldwide adapted their teaching and learning techniques for various courses, including English. One of the adaptations includes a well-known model called Flipped Classroom (FC). FC often mixes two stages: pre-class that is online, and in-class that is face-to-face. Though the…

The Discontinuity Model (DM) described in this article proposes that adults can learn part of L2 morphosyntax twice, in two different ways. The same item can be learned as the product of generation by a rule or as a modification of a template already stored in memory. These learning modalities, which are often seen as opposed in language theory,…

This research aims to investigate the impact of Common Knowledge Construction Model (CKCM) based science education teaching on the entrepreneurship skills of the eight grade students. The participants of this research are 50 students; 25 in control group (10 girls and 15 boys) and 25 in experimental group (9 girls and 16 boys). Quasi-experimental…

This article discusses intercultural communicative competence (ICC) as a present-day theoretical and practical concern. Byram's (1997) model of ICC serves as a point of departure for the discussion since this is a theoretical construct which has had considerable impact on curriculum development and teaching materials in a number of countries over…

Ambridge argues that there is widespread agreement among child language researchers that learners store linguistic abstractions. In this commentary the authors first argue that this assumption is incorrect; anti-representationalist/exemplar views are pervasive in theories of child language. Next, the authors outline what has been learned from this…

In this paper, we investigate the effect of neighbourhood density (ND) on vocabulary size in a computational model of vocabulary development. A word has a high ND if there are many words phonologically similar to it. High ND words are more easily learned by infants of all abilities (e.g. Storkel, 2009; Stokes, 2014). We present a neural network…

BKT and other classical student models are designed for binary environments where actions are either correct or incorrect. These models face limitations in open-ended and data-driven environments where actions may be correct but non-ideal or where there may even be degrees of error. In this paper we present BKT-SR and RKT-SR: extensions of the…

Self-regulation of cognition and behavior is an important aspect of student learning and academic performance in the 21st-century classroom. The purpose of the chapter is to present how an integrated framework of cyclical phases and developmental levels of self-regulated learning play a significant role in modeling and self-regulatory learning as…

A central question in language acquisition is how children build linguistic representations that allow them to generalize verbs from one construction to another (e.g., "The boy gave a present to the girl" ? "The boy gave the girl a present"), whilst appropriately constraining those generalizations to avoid non-adultlike errors…

The declarative/procedural (DP) model posits that the learning, storage, and use of language critically depend on two learning and memory systems in the brain: declarative memory and procedural memory. Thus, on the basis of independent research on the memory systems, the model can generate specific and often novel predictions for language. Till…

Knowledge tracing is a popular and successful approach to modeling student learning. In this paper we investigate whether the addition of neuroimaging observations to a knowledge tracing model enables accurate prediction of memory performance in held-out data. We propose a Hidden Markov Model of memory acquisition related to Bayesian Knowledge…

Accurately modeling individual students' knowledge growth is important in many applications of learning analytics. A key step is to decompose the knowledge targeted in the instruction into detailed knowledge components (KCs). We search for an accurate KC model for basic equation solving skills, using data from an intelligent tutoring system (ITS),…

This essay reviews the emergency teaching-learning pedagogy in K-12 schools of Nepal during the COVID-19 global pandemic. It discusses three models (unidirectional, e-participatory, and mobile teaching) as alternative pedagogies of Nepalese educational institutions to continue teaching-learning for different disciplines such as language, arts, and…

This paper presents a design project and its assessment in an undergraduate control theory course. In the project, students mathematically modeled the thermal dynamics of a glass incubator and its heat source. Based on these models, they designed a lag compensator to keep the incubator temperature in a safe range when the external temperature…

This study addresses the need for innovative research approaches in science education for understanding better the inter-relationships between emotion and cognition in learning, using a sociological perspective. Our perspective draws upon the concept of emotional energy that is described as an outcome from successful social interactions during…