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702 resources
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Hannah Rashkin, Asli Celikyilmaz, Yejin ...|Oct 27th, 2020|conferencePaperHannah Rashkin, Asli Celikyilmaz, Yejin ...Oct 27th, 2020
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Thibault Sellam, Dipanjan Das, Ankur Par...|Oct 27th, 2020|conferencePaperThibault Sellam, Dipanjan Das, Ankur Par...Oct 27th, 2020
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V Vijayaraghavan, Jack Brian Cooper, oth...|Oct 27th, 2020|journalArticleV Vijayaraghavan, Jack Brian Cooper, oth...Oct 27th, 2020
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Yen Vo, Catherine Welch, Stephen Dunbar,...|Oct 27th, 2020|presentationYen Vo, Catherine Welch, Stephen Dunbar,...Oct 27th, 2020
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Lili Yao, A. Cahill, Daniel F. McCaffrey...|Oct 27th, 2020|conferencePaperLili Yao, A. Cahill, Daniel F. McCaffrey...Oct 27th, 2020
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Leyi Qian, Yali Zhao, Yan Cheng|Oct 23rd, 2019|journalArticleLeyi Qian, Yali Zhao, Yan ChengOct 23rd, 2019
Automated writing scoring can not only provide holistic scores but also instant and corrective feedback on L2 learners’ writing quality. It has been increasing in use throughout China and internationally. Given the advantages, the past several years has witnessed the emergence and growth of writing evaluation products in China. To the best of our knowledge, no previous studies have touched upon the validity of China’s automated essay scoring systems. By drawing on the four major categories...
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Kettip Kriangchaivech, Artit Wangperawon...|Sep 14th, 2019|preprintKettip Kriangchaivech, Artit Wangperawon...Sep 14th, 2019
A machine learning model was developed to automatically generate questions from Wikipedia passages using transformers, an attention-based model eschewing the paradigm of existing recurrent neural networks (RNNs). The model was trained on the inverted Stanford Question Answering Dataset (SQuAD), which is a reading comprehension dataset consisting of 100,000+ questions posed by crowdworkers on a set of Wikipedia articles. After training, the question generation model is able to generate simple...
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Samuel Holmes, Anne Moorhead, Raymond Bo...|Sep 10th, 2019|conferencePaperSamuel Holmes, Anne Moorhead, Raymond Bo...Sep 10th, 2019
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Mohamed Abdellatif Hussein, Hesham Hassa...|Aug 12th, 2019|journalArticleMohamed Abdellatif Hussein, Hesham Hassa...Aug 12th, 2019
Writing composition is a significant factor for measuring test-takers’ ability in any language exam. However, the assessment (scoring) of these writing compositions or essays is a very challenging process in terms of reliability and time. The need for objective and quick scores has raised the need for a computer system that can automatically grade essay questions targeting specific prompts. Automated Essay Scoring (AES) systems are used to overcome the challenges of scoring writing tasks by...
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Jose Manuel Azevedo, Ema P. Oliveira, Pa...|Aug 5th, 2019|journalArticleJose Manuel Azevedo, Ema P. Oliveira, Pa...Aug 5th, 2019
The purpose of this paper is to find appropriate forms of analysis of multiple-choice questions (MCQ) to obtain an assessment method, as fair as possible, for the students. The authors intend to ascertain if it is possible to control the quality of the MCQ contained in a bank of questions, implemented in Moodle, presenting some evidence with Item Response Theory (IRT) and Classical Test Theory (CTT). The used techniques can be considered a type of Descriptive Learning Analytics since they...
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Kenneth Holstein, Bruce M. McLaren, Vinc...|Jul 22nd, 2019|journalArticleKenneth Holstein, Bruce M. McLaren, Vinc...Jul 22nd, 2019
Involving stakeholders throughout the creation of new educational technologies can help ensure their usefulness and usability in real-world contexts. However, given the complexity of learning analytics (LA) systems, it can be challenging to meaningfully involve non-technical stakeholders throughout their design and development. This article reports on the iterative co-design, development, and classroom evaluation of Konscia, a wearable, real-time awareness tool for teachers working in...
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Guillermo Solano-Flores|Jun 7th, 2019|journalArticleGuillermo Solano-FloresJun 7th, 2019
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Xiaoxia Lu|Jun 27th, 2019|journalArticleXiaoxia LuJun 27th, 2019
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Antonio Hernández-Blanco, Boris Herrera-...|May 12th, 2019|journalArticleAntonio Hernández-Blanco, Boris Herrera-...May 12th, 2019
Educational Data Mining (EDM) is a research field that focuses on the application of data mining, machine learning, and statistical methods to detect patterns in large collections of educational data. Different machine learning techniques have been applied in this field over the years, but it has been recently that Deep Learning has gained increasing attention in the educational domain. Deep Learning is a machine learning method based on neural network architectures with multiple layers of...
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Md. Raihan Mia, Abu Sayed Md. Latiful Ho...|May 27th, 2019|conferencePaperMd. Raihan Mia, Abu Sayed Md. Latiful Ho...May 27th, 2019
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José Á. Martínez-Huertas, Olga Jastrzebs...|Feb 9th, 2019|journalArticleJosé Á. Martínez-Huertas, Olga Jastrzebs...Feb 9th, 2019
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Elizabeth Clark, Asli Celikyilmaz, Noah ...|Oct 27th, 2019|conferencePaperElizabeth Clark, Asli Celikyilmaz, Noah ...Oct 27th, 2019
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Iria del Rio|Oct 27th, 2019|conferencePaperIria del RioOct 27th, 2019
This work explores the relationship between L2 proficiency levels and certain linguistic features through experiments in automatic proficiency classification. We use L2 Spanish and L2 Portuguese data and perform monolingual and cross-lingual experiments. We also compare native and leaner Spanish texts. To the best of our knowledge, this is the first work that performs automatic proficiency classification for L2 Spanish, as well as cross-lingual proficiency classification between L2...
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Anastassia Loukina, Nitin Madnani, Klaus...|Oct 27th, 2019|conferencePaperAnastassia Loukina, Nitin Madnani, Klaus...Oct 27th, 2019
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Chris Van Der Lee, Albert Gatt, Emiel Va...|Oct 27th, 2019|conferencePaperChris Van Der Lee, Albert Gatt, Emiel Va...Oct 27th, 2019