Automating repeated exposure to target vocabulary for second language learners

Wible, David; Kuo, Chin-Hwa; Chien, Feng-yi; Taso, Nai Lung

doi:10.1109/icalt.2001.943876

Cited by 6 publications

(5 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Several related systems are surveyed in the following. IwiLL [20], which is a Web-based language-learning platform, consists of several tightly interwoven components. This is a learner corpus for students in Taiwan.…”

Section: Discussionmentioning

confidence: 99%

“…Strictly speaking, when learners in the Augmentative Chat Room submit sentences to the Learn-ing_Angel Agent, it will forward them to the Link Grammar Parser. Then, the Link Grammar Parser will query the ontology to get the tags for the input sentences (Wible, Kuo, Chien, & Taso, 2001). Meanwhile, the Link Grammar Parser will send the tags and sentences to the Label Analyzer & Filter, which can find out if there are any incorrect linkages.…”

Section: Learning_angel Agentmentioning

confidence: 99%

See 1 more Smart Citation

Applying Semantic Agents to Message Communication in e-Learning Environment

Wang

Cui

2008

International Journal of Distance Education Technologies

View full text Add to dashboard Cite

e-learning has become an important issue in the practice and research recently. A tool or system of distance learning should provide automatic functionalities to decrease the overload of instructors and students compared with the traditional learning style. In this paper, we present an English chat room system in which students can discuss course contents by interacting with teachers and students. First, the novel mechanism provides Learning_Angel Agent and Semantic Agent that act as supervisors that constantly handle queries online. Next, the mechanism provides a QA subsystem that acts as an assistant. The Learning_Angel Agent can detect syntax errors made by online users. The Semantic Agent can check the semantic meaning of each sentence. Sometimes, learners make semantic level mistakes. This implies that they do not understand the course topic or some particular issue. The semantic agent can, thus, give some suggestions for corrections to the users and analyze the data in the learner corpus. Moreover, when users query the system or other online users, this system will attempt to find answers from the knowledge ontology or learner corpus that is stored in the records of previous users' comments. Furthermore, if enough QA pairs can be accumulated, the FAQ can act as a powerful learning tool for learners.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Learning_angel Agentmentioning

confidence: 99%

Applying Semantic Agents to Message Communication in e-Learning Environment

Wang

Cui

2008

International Journal of Distance Education Technologies

View full text Add to dashboard Cite

show abstract

“…Several related systems are surveyed as follows: IwiLL [33], which is a web-based language-learning platform, consists of several tightly interwoven components each designed by the IWiLL team. This is a learner corpus for the students in Taiwan.…”

Section: Discussionmentioning

confidence: 99%

A multimedia database supports English distance learning

Wang

Lin

2004

Information Sciences

View full text Add to dashboard Cite

“…Students who used these systems to read outside of class had better English reading comprehension, higher English learning motivation, and greater learner satisfaction when compared to students reading un-annotated paper equivalents. Wible et al [34] also developed two browser based tools, Collocator and WordSpider, which annotated L2 Web pages by highlighting word collocations and provided in-page L2 contextual word clues respectively. Similarly, the Gymn@zilla project overlays the L2 Web with text and picture annotations and supports the creation of personal word lists and closure exercises [31] but no user study of the prototype was conducted.…”

Section: Call Through the Webmentioning

confidence: 99%

“…Wible et al [34] and Pan & Huang [23] explored a Webbased L2 reading environment with the SRP and WBL projects respectively. Students who used these systems to read outside of class had better English reading comprehension, higher English learning motivation, and greater learner satisfaction when compared to students reading un-annotated paper equivalents.…”

Section: Call Through the Webmentioning

confidence: 99%

Augmenting the web for second language vocabulary learning

Trusty

Truong

2011

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

View full text Add to dashboard Cite

The busyness of everyday life means that those with casual interest in additional learning opportunities are often unable to schedule regular time and effort for studying. In this paper, we explore how to augment information technologies that people use on a daily basis to create micro-learning opportunities. In particular, we examine how a person's existing Web browsing experience-with first language Web pages-can be augmented to teach them second language vocabulary. We present a prototype, ALOE, which runs inside the Firefox Web browser and dynamically augments Web pages by replacing a selected set of English words with their foreign translations. The foreign translations are embedded in the rich context of a Web page's existing English text to promote incidental learning and guessing from context of the translated words. Through a two month user evaluation of ALOE, we found that most participants were able to learn an average of 50 new French vocabulary words.

show abstract

Automating repeated exposure to target vocabulary for second language learners

Cited by 6 publications

References 1 publication

Applying Semantic Agents to Message Communication in e-Learning Environment

Applying Semantic Agents to Message Communication in e-Learning Environment

A multimedia database supports English distance learning

Augmenting the web for second language vocabulary learning

Contact Info

Product

Resources

About