The present research demonstrates that very brief variations in affect, being around 1 s in length and changing from trial to trial independently from semantic relatedness of primes and targets, modulate the amount of semantic priming. Implementing consonant and dissonant chords (Experiments 1 and 5), naturalistic sounds (Experiment 2), and visual…

Semantic differential instruments are often used to assess fluent speakers' attitudes toward people who stutter (PWS). Such instruments are prone to response bias and often lack the power to explain respondents' general impressions of PWS. To address these concerns 149 fluent university students completed an open-ended questionnaire in which they…

Smart spaces, or smart environments, represent the next evolutionary development in buildings, banking, homes, hospitals, transportation systems, industries, cities, and government automation. By riding the tide of sensor and event processing technologies, the smart environment captures and processes information about its surroundings as well as…

Recall and language comprehension while processing sequences of words involves multiple semantic priming between several related and/or unrelated words. Accounting for multiple and interacting priming effects in terms of underlying neuronal structure and dynamics is a challenge for current models of semantic priming. Further elaboration of current…

Two prominent dual-route computational models of reading aloud are the dual-route cascaded (DRC) model, and the connectionist dual-process plus (CDP+) model. While sharing similarly designed lexical routes, the two models differ greatly in their respective nonlexical route architecture, such that they often differ on nonword pronunciation. Neither…

The Indian Institute of Science is proud to host the fully in-person sixteenth iteration of the International Conference on Educational Data Mining (EDM) during July 11-14, 2023. EDM is the annual flagship conference of the International Educational Data Mining Society. The theme of this year's conference is "Educational data mining for…

The Writing Pal is an intelligent tutoring system that provides writing strategy training. A large part of its artificial intelligence resides in the natural language processing algorithms to assess essay quality and guide feedback to students. Because writing is often highly nuanced and subjective, the development of these algorithms must…

There are two major discussions emerging out of higher education. The first is the dual challenge of increasing completion rates and reducing the cost of instruction. The second is about the impact of technology on higher education, a topic brought to the fore in the past year by the Massive Open Online Course (MOOC) phenomenon. The Open Learning…

With the advent of the Web, the notion of "information retrieval" has acquired a completely new connotation and currently encompasses several disciplines ranging from traditional forms of text and data retrieval in unstructured and structured repositories to retrieval of static and dynamic information from the contents of the surface and deep Web.…

The notions of user involvement and user orientation have become popular catchphrases in innovation research and practice. Central in this research are the ideas that knowledge about users leads to better design, and that the interests of users and producers need to be aligned. In another field of research, scholars have long recognised the…

In this study, we investigated semantic context effects in language production with event-related brain potentials, extracted from the ongoing EEG recorded during overt speech production. We combined the picture-word interference paradigm and the semantic blocking paradigm to investigate the temporal dynamics and functional loci of semantic…

Reflective skills are widely regarded as a means of improving students' lifelong learning and professional practice in higher education (Rogers 2001). While the value of reflective practice is widely accepted in educational circles, a critical issue is that reflective writing is complex, and has high rhetorical demands, making it difficult to…

A new metric, Word Maturity, estimates the development by individual students of knowledge of every word in a large corpus. The metric is constructed by Latent Semantic Analysis modeling of word knowledge as a function of the reading that a simulated learner has done and is calibrated by its developing closeness in information content to that of a…

Most approaches to argument realization in English are grounded in lexical semantic structure. While it is widely acknowledged that there is an intimate relationship between information structure and grammatical relations such as "subject," there have been few attempts to formalize this observation. This dissertation proposes an "interface model…

In this conceptual essay, we offer rationales and evidence for critical components of a working model of text complexity for the early grades. In the first three sections of the article, we examine word-level, syntax-level, and discourse-level features of text, posing questions for future research. In the fourth section, we address elements of…