Mihai Dascalu

Mihai Dascalu
Polytechnic University of Bucharest | UPB · Department of Computers

PhD (CS), PhD (Edu)

About

266
Publications
65,802
Reads
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1,905
Citations
Introduction
Mihai Dascalu is a Professor at the Department of Computers, University Politehnica of Bucharest. Mihai does research in Natural Language Processing, Educational Data Mining, Intelligent Tutoring Systems, Discourse Analysis and Computer Supported Collaborative Learning.
Additional affiliations
June 2007 - present
Polytechnic University of Bucharest
Position
  • Lecturer

Publications

Publications (266)
Article
Full-text available
In every instructional situation, reading textual materials and writing down thoughts are the core activities that represent both causes (from learner’s viewpoint) and indicators of learning (from teacher’s viewpoint). Reading is a cognitive activity whose oral or written traces are usually analyzed by teachers in order to infer either learners’ co...
Article
Full-text available
The chapter introduces ReaderBench, a multi-lingual and flexible environment that integrates text mining technologies for assessing a wide range of learners' productions and for supporting teachers in several ways. ReaderBench offers three main functionalities in terms of text analysis: cohesion-based assessment, reading strategies identification a...
Article
Full-text available
As Computer Supported Collaborative Learning (CSCL) becomes increasingly adopted as an alternative to classic educational scenarios, we face an increasing need for automatic tools designed to support tutors in the time consuming process of analyzing conversations and interactions among students. Therefore, building upon a cohesion-based model of th...
Conference Paper
Full-text available
Textual complexity is widely used to assess the difficulty of reading materials and writing quality in student essays. At a lexical level, word complexity can represent a building block for creating a comprehensive model of lexical networks that adequately estimates learners' understanding. In order to best capture how lexical associations are crea...
Article
The medical face mask, widely used by health care providers during the COVID‐19 pandemic, is reported to be associated with adverse reactions, among which acne is one of the most common. This study aims to evaluate treatment strategies employed by health care providers affected by acne in association with prolonged medical face mask use, their open...
Article
An ontology is a formal, explicit description of concepts and relations from a domain while considering underlying properties, restrictions, and instances.With the advancement of the Semantic Web, the rise of the Educational Semantic Web, and the lack of uniformity between approaches for knowledge representation, ontologies are becoming more and mo...
Preprint
Full-text available
In recent times, the detection of hate-speech, offensive, or abusive language in online media has become an important topic in NLP research due to the exponential growth of social media and the propagation of such messages, as well as their impact. Misogyny detection, even though it plays an important part in hate-speech detection, has not received...
Preprint
Full-text available
Complex word identification (CWI) is a cornerstone process towards proper text simplification. CWI is highly dependent on context, whereas its difficulty is augmented by the scarcity of available datasets which vary greatly in terms of domains and languages. As such, it becomes increasingly more difficult to develop a robust model that generalizes...
Article
Full-text available
Age of acquisition (AoA) is a measure of word complexity which refers to the age at which a word is typically learned. AoA measures have shown strong correlations with reading comprehension, lexical decision times, and writing quality. AoA scores based on both adult and child data have limitations that allow for error in measurement, and increase t...
Book
This book brings together the contributions of the 6th International Conference on Smart Learning Ecosystems and Regional Development, which aims at promoting reflection and discussion concerning R&D work, policies, case studies, entrepreneur experiences with a special focus on understanding the relevance of smart learning ecosystems (e.g., schools...
Preprint
Full-text available
As transfer learning from large-scale pre-trained language models has become prevalent in Natural Language Processing, running these models in computationally constrained environments remains a challenging problem yet to address. Several solutions including knowledge distillation, network quantization or network pruning have been proposed; however,...
Article
Full-text available
Computer-Supported Collaborative Learning tools are exhibiting an increased popularity in education, as they allow multiple participants to easily communicate, share knowledge, solve problems collaboratively, or seek advice. Nevertheless, multi-participant conversation logs are often hard to follow by teachers due to the mixture of multiple and man...
Article
Full-text available
Learning to paraphrase supports both writing ability and reading comprehension, particularly for less skilled learners. As such, educational tools that integrate automated evaluations of paraphrases can be used to provide timely feedback to enhance learner paraphrasing skills more efficiently and effectively. Paraphrase identification is a popular...
Chapter
Recent advancements in Machine Learning and software development are extending the applications of Intelligent Tutoring Systems (ITS) into non-cognitive skill domains, while proposing novel design architectures and tutoring strategies. In this paper we present our ongoing work on Selfit, an Intelligent Tutoring System for psychomotor development. T...
Chapter
The ability to automatically assess the quality of paraphrases can be very useful for facilitating literacy skills and providing timely feedback to learners. Our aim is twofold: a) to automatically evaluate the quality of paraphrases across four dimensions: lexical similarity, syntactic similarity, semantic similarity and paraphrase quality, and b)...
Chapter
Text summarization is an effective reading comprehension strategy. However, summary evaluation is complex and must account for various factors including the summary and the reference text. This study examines a corpus of approximately 3,000 summaries based on 87 reference texts, with each summary being manually scored on a 4-point Likert scale. Mac...
Article
Full-text available
The 2020 outbreak of coronavirus pandemic generated a wave of rumours, misinformation, and conspiracy theories; these theories and un-informed speculations gained significant traction through social media platforms. In this paper, we focus on a particular conspiracy theory, related to the unfounded connection between 5G networks and the spread of C...
Chapter
The ability to objectively quantify the complexity of a text can be a useful indicator of how likely learners of a given level will comprehend it. Before creating more complex models of assessing text difficulty, the basic building block of a text consists of words and, inherently, its overall difficulty is greatly influenced by the complexity of u...
Chapter
Feedback mechanisms for academic courses have been widely used to measure students opinions and satisfaction towards different components of a course; concurrently, open-text detailed impressions enable professors to continually improve their course. However, the process of reading through hundreds of student feedback responses across multiple subj...
Chapter
Dialogism is a philosophical theory centered on the idea that life involves a dialogue among multiple voices in a continuous exchange and interaction. Considering human language, different ideas or points of view take the form of voices, which spread throughout any discourse and influence it. From a computational point of view, voices can be operat...
Chapter
Reading comprehension is key to knowledge acquisition and to reinforcing memory for previous information. While reading, a mental representation is constructed in the reader’s mind. The mental model comprises the words in the text, the relations between the words, and inferences linking to concepts in prior knowledge. The automated model of compreh...
Preprint
Full-text available
The real-world impact of polarization and toxicity in the online sphere marked the end of 2020 and the beginning of this year in a negative way. Semeval-2021, Task 5 - Toxic Spans Detection is based on a novel annotation of a subset of the Jigsaw Unintended Bias dataset and is the first language toxicity detection task dedicated to identifying the...
Preprint
Full-text available
Reading is a complex process which requires proper understanding of texts in order to create coherent mental representations. However, comprehension problems may arise due to hard-to-understand sections, which can prove troublesome for readers, while accounting for their specific language skills. As such, steps towards simplifying these sections ca...
Preprint
Full-text available
Detecting humor is a challenging task since words might share multiple valences and, depending on the context, the same words can be even used in offensive expressions. Neural network architectures based on Transformer obtain state-of-the-art results on several Natural Language Processing tasks, especially text classification. Adversarial learning,...
Preprint
Full-text available
Extracting semantic information on measurements and counts is an important topic in terms of analyzing scientific discourses. The 8th task of SemEval-2021: Counts and Measurements (MeasEval) aimed to boost research in this direction by providing a new dataset on which participants train their models to extract meaningful information on measurements...
Article
The COVID-19 pandemic has changed the entire world, while the impact and usage of online learning environments has greatly increased. This paper presents a new version of the ReaderBench framework, grounded in Cohesion Network Analysis, which can be used to evaluate the online activity of students as a plug-in feature to Moodle. A Recurrent Neural...
Article
Full-text available
Background: Workers in the healthcare sector are at high risk of developing occupational hand eczema mainly due to frequent exposure to irritants and/or allergens. Amongst workers in healthcare, nurses are at higher risk of developing hand dermatitis. Objectives: To evaluate the effectiveness of a short educational intervention program in preven...
Article
Full-text available
We consider the issue N. 46 particularly significant because it comes at the end of 2020, a year that marked the recent history of humanity. On one side, the pandemic reminded us how fragile mankind is and that it can succumb to a small and invisible enemy; on the other side, the Covid-19 challenged and stimulated the potential of our intelligence...
Conference Paper
Full-text available
Certain events or political situations determine users from the online environment to express themselves by using different modalities. One of them is represented by Internet memes, which combine text with a representative image to entail a wide range of emotions, from humor to sarcasm and even hate. In this paper, we describe our approach for the...
Conference Paper
Full-text available
Financial causality detection is centered on identifying connections between different assets from financial news in order to improve trading strategies. FinCausal 2020-Causality Identification in Financial Documents-is a competition targeting to boost results in financial causality by obtaining an explanation of how different individual events or...
Conference Paper
Full-text available
Aggressiveness and several other related problems, such as hate speech, offensive language, or harassment, are experiencing a growing online presence in the context of contemporary social media platforms. The research efforts towards detecting, isolating, and stopping these disturbing behaviors have intensified, in tight relation with the increasin...
Preprint
Full-text available
Complex Word Identification (CWI) is a task centered on detecting hard-to-understand words, or groups of words, in texts from different areas of expertise. The purpose of CWI is to highlight problematic structures that non-native speakers would usually find difficult to understand. Our approach uses zero-shot, one-shot, and few-shot learning techni...
Article
Full-text available
Fighting fake news is a difficult and challenging task. With an increasing impact on the social and political environment, fake news exert an unprecedently dramatic influence on people’s lives. In response to this phenomenon, initiatives addressing automated fake news detection have gained popularity, generating widespread research interest. Howeve...
Preprint
Full-text available
Manipulative and misleading news have become a commodity for some online news outlets and these news have gained a significant impact on the global mindset of people. Propaganda is a frequently employed manipulation method having as goal to influence readers by spreading ideas meant to distort or manipulate their opinions. This paper describes our...
Preprint
Full-text available
Diacritics restoration is a mandatory step for adequately processing Romanian texts, and not a trivial one, as you generally need context in order to properly restore a character. Most previous methods which were experimented for Romanian restoration of diacritics do not use neural networks. Among those that do, there are no solutions specifically...
Chapter
Online knowledge building communities (OKBCs) continue to exist by constantly integrating newcomers. Previous research on newcomer integration focuses on participants’ behavior and discourse, while ignoring chronemics, i.e., the time-related features such as pauses and their role in communication. Pauses can either serve as reflection spaces within...
Chapter
Literature is an essential part of a nation’s cultural identity, and each member of the community should be acquainted with the names and significant works of its most representative writers. In schools, literature is taught in traditional teacher-centered methods, using written literary studies or essays that students often memorize and reproduce....