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Multi-party dialogue reading comprehension aims to comprehend the dialogue context and answer the questions. Using explicit contextual information effectively and trying to capture the implicit information behind the dialogue lie at the heart of ...

Multi-span question answering has gained prominence as it aligns more closely with real-world user requirements compared to single-span question answering. The utilization of pretrained language models has shown promise in improving multi-span ...

Modeling reading comprehension processes is a critical task for Learning Analytics, as accurate models of the reading process can be used to match students to texts, identify appropriate interventions, and predict learning outcomes. This paper ...

• Introduce the Automated Model of Comprehension version 4.0 that integrates state-of-the-art Large Language models - ChatGPT.
• Perform 3 in-depth psychological validation studies to support the model's adequacy in modeling reading ...

Eye movements can be used to analyze a viewer’s cognitive capacities or mental state. Neural networks that process the raw eye-tracking signal can outperform methods that operate on scan paths preprocessed into fixations and saccades. However, ...

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• Neural embeddings of eye movements can be used as input to any model.
• SP-EyeGAN establishes new state-of-the-art performance on text comprehension.
• Performance of gender classification is effected by the number of training samples.

Ancient Chinese Reading Comprehension (ACRC) is challenging for the absence of datasets and the difficulty of understanding ancient languages. Further, among ACRC, entire-span-regarded (Entire spaN regarDed, END) questions are especially ...

Augmented reality (AR) technology can enhance picture book reading experience. The present study aimed to explore the influence of reading AR picture books on primary school students’ reading comprehension, story retelling, and reading motivation. ...

Generating natural language answers for question-answering (QA) tasks has recently surged in popularity with the rise of task-based personalized assistants. Most QA research is on extractive QA, methods that find answer spans in text passages. ...

When students are provided with detailed and immediate feedback on their performance in an online test, they may get some pedagogical benefits from the exercise. This study examined the effects of elaborative feedback on students’ reading ...

Focusing on the sustainability and affordability when using information technology, the mechanism of student-generated questioning (SGQ) and scaffolding for SGQ in reading comprehension tasks were explored within the self-regulated learning ...

Alongside huge volumes of research on deep learning models in NLP in the recent years, there has been much work on benchmark datasets needed to track modeling progress. Question answering and reading comprehension have been particularly prolific in this ...

Question Answering is a crucial natural language processing task. This field of research has attracted a sudden amount of interest lately due mainly to the integration of the deep learning models in the Question Answering Systems which ...

We propose a method to solve ad-hoc document retrieval tasks using a reading comprehension model. To solve the ad-hoc retrieval task, the proposed method generates a question for the given query, and a reading comprehension model is employed to ...

In this work, we tackle the problem of machine reading comprehension (MRC) on the Holy Qur’an to address the lack of Arabic datasets and systems for this important task. We construct QRCD as the first Qur’anic Reading Comprehension Dataset, ...

• We developed the first reading comprehension system on Qur’an.
• QRCD dataset is introduced as the first Qur’anic Reading Comprehension Dataset.
• CL-AraBERT is developed as a pre-trained model over a Classical Arabic Dataset.
• ...

Metacognition is essential to second language (L2) learning, while eye-tracking is an effective method for researching metacognition in reading. The data can be used for research as well as feedback to support learners' self-directed learning. This ...

Educational data collection and analysis based on Webcam's non-invasive eye-tracking technology is important for understanding complex cognitive processes. This study investigates how eye-movement behavior during reading predicts reading performance. In ...

Distractor generation, which aims to generate the wrong option part of multi-choice questions, has been proposed to assist educators to test the examinees’ reading comprehension and reasoning ability. Recently, some Seq2Seq-based models have been ...

Machine Reading Comprehension (MRC) is the process where computers or, machines are taught to understand a paragraph or more technically called a context. Like humans, machines also need to be evaluated for their understanding on question ...

This preliminary research aimed to examine students’ perceptions of the effectiveness of the RT-CL strategy in enhancing students’ reading comprehension skills at Kupang State Polytechnic, East Nusa Tenggara-Indonesia. A pre-experimental design ...

This study investigated how Augmented Reality (AR) impacted EFL learners’ reading comprehension and attitudes toward utilizing AR. A mixed-method was used with a sample composed of 64 upper-intermediate EFL learners in a state university in Iran. ...