English Language Preservice Teachers’ Stages of Concern for Web 2.0 Technology Integration

This design was intended to act as a template for technology integration for preservice teachers in an English language arts class. However, the unintended result was a celebration of cultural heritage and increased classroom community. Through the project, 23 preservice teachers used online tools to design digital scrapbook pages that reflected family ancestry and life histories. Participants from diverse ethnic backgrounds celebrated their unique names and cultural capital.

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Investigating Changes in Mathematics Teachers’ Intentions Regarding Web 2.0 Technology Integration

Acta Didactica Napocensia ◽

10.24193/adn.11.2.8 ◽

2018 ◽

Vol 11 (2) ◽

pp. 89-104 ◽

Cited By ~ 1

Author(s):

Ümit Kul ◽

◽

Sedef Çelik ◽

Keyword(s):

Technology Integration ◽

Web 2.0 ◽

Mathematics Teachers ◽

Web 2.0 Technology

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Towards Improving the Lexicon-Based Approach for Arabic Sentiment Analysis

Big Data ◽

10.4018/978-1-4666-9840-6.ch091 ◽

2016 ◽

pp. 1970-1986

Author(s):

Nawaf A. Abdulla ◽

Nizar A. Ahmed ◽

Mohammed A. Shehab ◽

Mahmoud Al-Ayyoub ◽

Mohammed N. Al-Kabi ◽

...

Keyword(s):

Web 2.0 ◽

Sentiment Analysis ◽

English Language ◽

High Potential ◽

Raw Data ◽

Satisfactory Level ◽

Web 2.0 Technology ◽

Internet Users ◽

Arabic Sentiment Analysis ◽

The Web

The emergence of the Web 2.0 technology generated a massive amount of raw data by enabling Internet users to post their opinions on the web. Processing this raw data to extract useful information can be a very challenging task. An example of important information that can be automatically extracted from the users' posts is their opinions on different issues. This problem of Sentiment Analysis (SA) has been studied well on the English language and two main approaches have been devised: corpus-based and lexicon-based. This work focuses on the later approach due to its various challenges and high potential. The discussions in this paper take the reader through the detailed steps of building the main two components of the lexicon-based SA approach: the lexicon and the SA tool. The experiments show that significant efforts are still needed to reach a satisfactory level of accuracy for the lexicon-based Arabic SA. Nonetheless, they do provide an interesting guide for the researchers in their on-going efforts to improve lexicon-based SA.

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Towards Improving the Lexicon-Based Approach for Arabic Sentiment Analysis

International Journal of Information Technology and Web Engineering ◽

10.4018/ijitwe.2014070104 ◽

2014 ◽

Vol 9 (3) ◽

pp. 55-71 ◽

Cited By ~ 39

Author(s):

Nawaf A. Abdulla ◽

Nizar A. Ahmed ◽

Mohammed A. Shehab ◽

Mahmoud Al-Ayyoub ◽

Mohammed N. Al-Kabi ◽

...

Keyword(s):

Web 2.0 ◽

Sentiment Analysis ◽

English Language ◽

High Potential ◽

Raw Data ◽

Satisfactory Level ◽

Web 2.0 Technology ◽

Internet Users ◽

Arabic Sentiment Analysis ◽

The Web

The emergence of the Web 2.0 technology generated a massive amount of raw data by enabling Internet users to post their opinions on the web. Processing this raw data to extract useful information can be a very challenging task. An example of important information that can be automatically extracted from the users' posts is their opinions on different issues. This problem of Sentiment Analysis (SA) has been studied well on the English language and two main approaches have been devised: corpus-based and lexicon-based. This work focuses on the later approach due to its various challenges and high potential. The discussions in this paper take the reader through the detailed steps of building the main two components of the lexicon-based SA approach: the lexicon and the SA tool. The experiments show that significant efforts are still needed to reach a satisfactory level of accuracy for the lexicon-based Arabic SA. Nonetheless, they do provide an interesting guide for the researchers in their on-going efforts to improve lexicon-based SA.

Download Full-text