The DiRT Directory is a registry of digital research tools for scholarly use. DiRT makes it easy for digital humanists and others conducting digital research to find and compare resources ranging from content management systems to music OCR, statistical analysis packages to mindmapping software.
Tools for learners, teachers, and researchers. Learners can take tests, use concordance tools for reading, writing, and grammar. Researchers and teachers can determine the number of words at different frequency bands, etc.
Limitations: English and French only
Upload an audio file and transcribe in the browser. Keyboard commands so that you don't have to move your hands to pause, rewind, fast forward, and adjust playback speed. Also has a command to insert current timestamp. Learners could use this to check their detailed comprehension of a listening text. Also useful to researchers with audio recordings to transcribe.
A collection of rubrics for assessing portfolios, cooperative learning, research process/ report, PowerPoint, podcast, oral presentation, web page, blog, wiki, and other web 2.0 projects.
RESEARCH AND PROGRAMS Articulation of Language Instruction Assessment of Second Language Content-Based Language Instruction Culture and Language Learning Immersion Education Learner Language Less Commonly Taught Languages Maximizing Study Abroad Pragmatics/Speech Acts Strategies for Language Learning Technology and Language Learning
Video Assistance for Understanding Language Teaching Techniques (VAULTT) is a collection of original videos highlighting various aspects of language teaching in the classroom. Each short video is accompanied by supplementary information (in a PDF) explaining the techniques and relating them to best practices in language teaching. Some of these videos are real classes, and some are staged.
Although these materials are based on current research in second language acquisition, they are produced at a level accessible for teachers with little or no pedagogical training. We are still in the process of constructing this site, but your feedback is welcome!
The Chinese Text Project is an online open-access digital library that makes pre-modern Chinese texts available to readers and researchers all around the world. The site attempts to make use of the digital medium to explore new ways of interacting with these texts that are not possible in print. With over ten thousand titles and more than one billion characters, the Chinese Text Project is also one of the largest databases of pre-modern Chinese texts in existence.
How might we promote the same interaction among students using Twitter for classroom and learning?
Since Twitter is considered to be a social networking website, one aspect of this study looked at dialogue that transpired between followers to show evidence of collaborative conversations rather than unidirectional sharing of information.
Survey results show that nine out of ten of the respondents were able to give concrete examples of collaboration that occurred with fellow Twitter users.
These examples included ideas such as creating units, sharing of resources, students collaborating on projects between classrooms, exchanging professional materials and readings, writing book chapters, and even co-presenting at conferences.
beyond 140-character messages. That teachers moved discussions to forums that allow for deeper discussion and expansion of ideas is encouraging; Twitter does not seem to be a place to collaborate in depth, but rather to make those initial connections - a "jumping off" point.
how using Twitter has benefited them professionally. Four unique themes emerged from their responses:
Access to resources
Supportive relationships
Increased leadership capacity
Development of a professional vision
practical resources and ideas as a benefit.
opportunities for them to take leadership roles in developing professional development, organizing conferences, publishing, and grant writing.
This research study provides new insight into how teachers use social networking sites such as Twitter for professional purposes.
a free, open source toolkit for processing natural language text, based on machine learning. It includes common natural language processing functions such as tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking, parsing, and coreference resolution.
Limitations: can be difficult to use unless you have programming background
The project of Arabic Learner Corpus (ALC) aims to provide a collection of written and spoken materials produced by learners of Arabic in Saudi Arabia.