An overarching motivation driving my research has been to further our theoretical understanding of how readers successfully comprehend challenging text. This article describes the theoretical origins of this research program and my quest to understand comprehension processes through the use of technology. Coh-Metrix was developed to measure, and…

As students learn how to program, both their programming code and their understanding of it evolves over time. In this work, we present a general data-driven approach, named "Temporal-ASTNN" for modeling student learning progression in open-ended programming domains. Temporal-ASTNN combines a novel neural network model based on abstract…

In this study, we work towards a strategy to measure and enhance the quality of interactions in discussion forums at scale. We present a machine learning (ML) model which identifies the phase of cognitive presence exhibited by a student's post and suggest future applications of such a model to help online students develop higher-order thinking. We…

Learning computer programming is a challenging task for most beginners. Demotivation and learned helplessness are pretty common. A novel instructional technique that leverages the value-expectancy motivational model of student learning was conceptualized by the author to counter the lack of motivation in the introductory class. The result was a…

Whatever the epistemological underpinnings and the resulting pedagogies that one adopts for translator education, it is critical that one sets the learning goals adequately. After all, irrespective of whether one follows the lines of the "read-and-translate" methodology, constructivism or emergentism, one needs to know whether the…

Language is central to education, being the core medium of instruction. Researchers and practitioners have long used manual methods to analyze instructional language like classroom discourse and instructional texts, with the goal of facilitating student-centered instruction. In this dissertation, I offer three studies demonstrating how natural…

Problem-solving is one of the 21st-century skills. However, students still have difficulty solving sequences and series word problems. The purpose of this research is to analyze students' errors in solving sequences and series word problems based on problem-solving steps of Polya. The research method is descriptive qualitative. The research…

The indicated research aimed to identify pupils' reactions to the deploying scaffolding technique to learn English phonology. In this research, the data were assembled for 5 months, starting from February to June 2022, and they were gained through observation and distributing questionnaires by individual and group assessment. It involved 48…

The Interface Hypothesis proposes that second language (L2) learners, even at highly proficient levels, often fail to integrate information at the external interfaces where grammar interacts with other cognitive systems. While much early L2 work has focused on the syntax-discourse interface or scalar implicatures at the semantics-pragmatics…

Language is a major tool for an individual to communicate. The phonological & morpho-syntactic components are involved in functions of language processing & executions. Case marker is one of the morpho-syntatic feature, which describes the abstract meaning of the grammatical components of nouns & verbs and in formation of meaningful…

To better understand the relationship between second-language (L2) listening comprehension and metacognitive awareness, we examined the moderating effects of listening tests and learner samples while focusing on aspects of metacognitive awareness. Students of English-as-a-foreign-language at a Japanese university (n = 75; the 2019 cohort) took the…

Second language acquisition has been observed to be variable in its outcome such that, unlike native speakers, all second language learners do not achieve total success. Second language acquisition is made of macro and micro processes. External and internal (e.g., age, individual differences) factors are assumed to affect language processing in…

In the age of rapid technological advancements, the integration of Artificial Intelligence (AI), machine learning (ML), and large language models (LLMs) in Science, Technology, Engineering, and Mathematics (STEM) education has emerged as a transformative force, reshaping pedagogical approaches and assessment methodologies. "Uses of AI in STEM…

The article deals with the problems of colloquial interrogative sentences having the function features in the source and target fiction texts. The importance of the research of interrogative sentences is defined by frequent use of questioning in the process of communication and a close connection of the problem of questioning with other…

Intonation plays an integral role in comprehending spoken language. Listeners can rapidly integrate intonational information to predictively map a given pitch accent onto the speaker's likely referential intentions. We use mouse tracking to investigate two questions: (a) how listeners draw predictive inferences based on information from…