Although the generalized deterministic inputs, noisy "and" gate model (G-DINA; de la Torre, 2011) is a general cognitive diagnosis model (CDM), it does not account for the heterogeneity that is rooted from the existing latent groups in the population of examinees. To address this, this study proposes the mixture G-DINA model, a CDM that…

This dissertation focuses on strategies and techniques to enhance code comprehension skills among students enrolled in introductory computer science courses (CS1 and CS2). We propose a novel tutoring system, "DeepCodeTutor," designed to improve the code comprehension abilities of novices. DeepCodeTutor employs scaffolded self-explanation…

We examined the impact of prospective information on the processing of information occurring within the present timeline of narrative stories. Participants read target sentences that were consistent with events occurring within a protagonist's present timeline but inconsistent with events in the protagonist's future. When prospective information…

Reading comprehension is not a skill someone learns and can then apply in different reading contexts. It is one of the most complex activities that readers engage in on a regular basis, and the ability to comprehend is dependent upon a wide range of knowledge and skills. Despite a common view about comprehension, several lines of enquiry have…

When analyzing treatment effects on test scores, researchers face many choices and competing guidance for scoring tests and modeling results. This study examines the impact of scoring choices through simulation and an empirical application. Results show that estimates from multiple methods applied to the same data will vary because two-step models…

A tree model for diagnostic educational testing is described along with Monte Carlo simulations designed to evaluate measurement accuracy based on the model. The model is implemented in an assessment of inferential reading comprehension, the Multiple-Choice Online Causal Comprehension Assessment (MOCCA), through a sequential, multidimensional,…

Automatic short-answer grading has been studied for more than a decade. The technique has been used for implementing auto assessment as well as building the assessor module for intelligent tutoring systems. Many early works automatically grade mainly based on the similarity between a student answer and the reference answer to the question. This…

Reading comprehension is one of the essential skills for students as they make a transition from learning to read to reading to learn. Over the last decade, the increased use of digital learning materials for promoting literacy skills (e.g., oral fluency and reading comprehension) in K-12 classrooms has been a boon for teachers. However, instant…

The increase in screen-based publishing over the past 30 years has sparked an evolution of reading. Reading's natural scope has ignited interest across paradigms. The resulting scholarship offers rich opportunity, but also presents a concerning challenge -- approaches differ across disciplines, producing results that can be difficult to interpret…

Reading comprehension--understanding, interpreting, and evaluating written texts--is a highly complex construct that involves ''the process of simultaneously constructing and extracting meaning through interaction and engagement with print'' (Snow, 2002, p. 413) and requires "the most intricate workings of the human mind" (Huey, 1968, p.…

Background: Research shows that providing readers with a title prior to reading a passage increases comprehension compared with reading a passage without a title. However, the specific type of comprehension that is facilitated by the presence of a title and how this relates to reading time has not been examined. We present three experiments in…

Modeling reading comprehension processes is a critical task for Learning Analytics, as accurate models of the reading process can be used to match students to texts, identify appropriate interventions, and predict learning outcomes. This paper introduces an improved version of the Automated Model of Comprehension, namely version 4.0. AMoC has its…

The simple view of reading (SVR) framework has been used for decades to explain two general component skills considered to contribute to reading comprehension: decoding and linguistic comprehension. In the past, researchers have assessed the linguistic comprehension component using a wide range of language and/or listening comprehension measures…

Research-based multi-text strategies (MTC) comprised of two-step verification, discrepancy-induced, cognitive-affective engagement, and reading as problem-solving models may assist students in furthering their reading comprehension in this Internet-based society. The purpose of this statewide quantitative study of principals in Title I elementary…

The process of building a teaching platform for contemporary Chinese literature poses many challenges. Based on big data research, this study was conducted using diversified intelligent analysis technology and theory. Through a fuzzy analytic hierarchy process method and relevant steps regarding intelligent parameter improvement, this study…