Intelligent Tutoring Systems
18th International Conference, ITS 2022, Bucharest, Romania, June 29 – July 1, 2022, Proceedings
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Article
Open AccessFormative Feedback on Student-Authored Summaries in Intelligent Textbooks Using Large Language Models
As intelligent textbooks become more ubiquitous in classrooms and educational settings, the need to make them more interactive arises. An alternative is to ask students to generate knowledge in response to tex...
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Article
Cohesive devices as an indicator of L2 students' writing fluency
Investigating links between temporal features of the writing process (e.g., bursts and pauses during writing) and the linguistic features found in written products would help us better understand intersections...
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Article
Source inclusion in synthesis writing: an NLP approach to understanding argumentation, sourcing, and essay quality
Synthesis writing is widely taught across domains and serves as an important means of assessing writing ability, text comprehension, and content learning. Synthesis writing differs from other types of writing ...
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Article
Open AccessA large-scaled corpus for assessing text readability
This paper introduces the CommonLit Ease of Readability (CLEAR) corpus, which provides unique readability scores for ~ 5000 text excerpts along with information about the excerpt’s year of publishing, genre, a...
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Chapter and Conference Paper
Using Large Language Models to Provide Formative Feedback in Intelligent Textbooks
As intelligent textbooks become more ubiquitous in classrooms and educational settings, the need arises to automatically provide formative feedback to written responses provided by students in response to read...
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Chapter and Conference Paper
Using Large Language Models to Develop Readability Formulas for Educational Settings
Readability formulas can be used to better match readers and texts. Current state-of-the-art readability formulas rely on large language models like transformer models (e.g., BERT) that model language semantic...
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Chapter and Conference Paper
De-Identification of Student Writing in Technologically Mediated Educational Settings
When conducting research with data from smart learning systems, there is a need to protect user identities because the release of personally identifiable information (PII) poses a significant risk to participa...
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Chapter and Conference Paper
Towards the Future of AI-Augmented Human Tutoring in Math Learning
One of the primary obstacles to improving middle school math achievement is lack of equitable access to high-quality learning opportunities. Human delivery of high-dosage tutoring can bring significant learnin...
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Chapter and Conference Paper
Assessing Readability Formulas in the Wild
Recent advances have facilitated major improvements in develo** intelligent and purpose-oriented readability formulas to predict the overall difficulty of a text in terms of text comprehension and processing...
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Chapter and Conference Paper
Correction to: Intelligent Tutoring Systems
Due to an oversight, the originally published version of this paper did not include the acknowledgement “We acknowledge the support of CRIAQ, the Natural Sciences and Engineering Research Council of Canada (NS...
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Chapter and Conference Paper
Automated Classification of Argumentative Components in Students’ Essays
Multiple approaches have been proposed for the automated classification of argumentative components. However, few studies have focused on argumentation in students’ essays and how automated classification can ...
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Book and Conference Proceedings
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Chapter
Native Language Identification by Human Judges
This paper reports the results of two studies involving native language identification (NLI) by human judges (see Jarvis, 2012; Malmasi, Tetreault, & Dras, 2015; Odin, 1996). The first study includes six Finni...
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Article
The tool for the automatic analysis of lexical sophistication (TAALES): version 2.0
This study introduces the second release of the Tool for the Automatic Analysis of Lexical Sophistication (TAALES 2.0), a freely available and easy-to-use text analysis tool. TAALES 2.0 is housed on a user’s h...
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Chapter and Conference Paper
Letting the Genie Out of the Lamp: Using Natural Language Processing Tools to Predict Math Performance
This study examines links between natural language processing and its application in math education. Specifically, the study examines language production and math success in an on-line, blended learning math ...
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Article
Accuracy feedback improves word learning from context: evidence from a meaning-generation task
The present study asked whether accuracy feedback on a meaning generation task would lead to improved contextual word learning (CWL). Active generation can facilitate learning by increasing task engagement and...
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Chapter and Conference Paper
Expressing Sentiments in Game Reviews
Opinion mining and sentiment analysis are important research areas of Natural Language Processing (NLP) tools and have become viable alternatives for automatically extracting the affective information found in...
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Chapter and Conference Paper
Predicting Academic Performance Based on Students’ Blog and Microblog Posts
This study investigates the degree to which textual complexity indices applied on students’ online contributions, corroborated with a longitudinal analysis performed on their weekly posts, predict academic per...
