Computational Linguistics Commons^™

Technology In The Classroom: The Features Language Teachers Should Consider, Sophie Cuocci, Padideh Fattahi Marnani

Journal of English Learner Education

The fast development of technology and the new generation of highly computer literate students led to consider the integration of technology in school as essential. Throughout the last two decades, research has identified multiple factors leading to the successful and unsuccessful integration of technology in the classroom. Educators must consider these factors when deciding on which technology tools to use and how to integrate them to their lessons. Simultaneously, the increasing number of English learners in the United States calls for the identification of teaching strategies that will best support their needs. Many language teachers now rely on teaching techniques …

Linguistic Abstractions In Children’S Very Early Utterances, Qihui Xu

Dissertations, Theses, and Capstone Projects

How early do children produce multiword utterances? Do children's early utterances reflect abstract syntactic knowledge or are they the result of data-driven learning? We examine this issue through corpus analysis, computational modeling, and adult simulation experiments. Chapter 1 investigates when children start producing multiword utterances; we use corpora to establish the development of multiword utterances and a probabilistic computational model to account for the quantitative change of early multiword utterances. We find that multiword utterances of different lengths appear early in acquisition and increase together, and the length growth pattern can be viewed as a probabilistic and dynamic process.

Chapter …

Corrective Feedback Timing In Kanji Writing Instruction Apps, Phoenix Mulgrew

Honors Theses

The focus of this research paper is to determine the correct time to provide corrective feedback to people who are learning how to write Japanese kanji. To do this, we developed a system that is able to recognize Japanese kanji that is handwritten onto an iPad screen and check for errors such as wrong stroke order. Previous research has achieved success in developing similar systems, but this project is unique because the research question involves the timing of corrective feedback. In particular, we are looking at whether immediate or delayed corrective feedback results in better learning.