Sergey Sosnovsky

• PhD
• Professor (Assistant) at Utrecht University

Investigation of students' perceptions and opinions on the use of generative artificial intelligence (GenAI) in education is a topic gaining much interest. Studies addressing this are typically conducted with large heterogeneous groups, at one moment in time. However, how students perceive and use GenAI tools can potentially depend on many factors,...

People often compare themselves to their peers in various contexts, including education. Usage of this general tendency becomes an effective strategy to enhance students’ motivation. Several successful implementations of social comparison in educational applications have demonstrated positive outcomes. Yet, they largely disregard the fact that peop...

Textbooks have evolved over the last several decades in many aspects. Most textbooks can be accessed online, many of them freely. They often come with libraries of supplementary educational resources or online educational services built on top of them. As a result of these enrichments, new research challenges and opportunities emerge that call for...

This paper evaluates an automatically extracted domain model from textbooks and applies learning curve analysis to assess its ability to represent students’ knowledge and learning. Results show that extracted concepts are meaningful knowledge components with varying granularity, depending on textbook authors’ perspectives. The evaluation demonstrat...

The growing ubiquity, rich functionality, and relative affordability of mobile devices have been seen as opportune factors for implementing mobile learning solutions that can be used in a variety of contexts and domains. Plenty of successful mobile educational applications have been built. This paper describes an attempt to build on this success. T...

The advancement of computational Artificial Intelligence (AI) in the recent decade has been transformative for many domains, including AI in Education. One direction, where it has caused a noticeable increase in research activity, is application of AI technologies to enhance digital textbooks by making them more interactive, engaging, adaptive, and...

One of the main directions of increasing the educational value of a digital textbook is its enrichment with interactive content. Such content can come from outside the textbooks - from multiple existing repositories of educational resources. However, finding the right place for such external resources is not always a trivial task. There exist multi...

One of the main directions of increasing the educational value of a digital textbook is its enrichment with interactive content. Such content can come from outside the textbooks - from multiple existing repositories of educational resources. However, finding the right place for such external resources is not always a trivial task. There exist multi...

The transition of textbooks from printed copies to digital and online formats has facilitated numerous attempts to enrich them with various kinds of interactive functionalities, link them with external resources or extract valuable information from them. As a result, new research challenges and opportunities emerge that call for the application of...

Textbooks are educational documents created, structured and formatted by domain experts with the primary purpose to explain the knowledge in the domain to a novice. Authors use their understanding of the domain when structuring and formatting the content of a textbook to facilitate this explanation. As a result, the formatting and structural elemen...

This two-volume set LNAI 12748 and 12749 constitutes the refereed proceedings of the 22nd International Conference on Artificial Intelligence in Education, AIED 2021, held in Utrecht, The Netherlands, in June 2021.* The 40 full papers presented together with 76 short papers, 2 panels papers, 4 industry papers, 4 doctoral consortium, and 6 workshop...

This two-volume set LNAI 12748 and 12749 constitutes the refereed proceedings of the 22nd International Conference on Artificial Intelligence in Education, AIED 2021, held in Utrecht, The Netherlands, in June 2021.* The 40 full papers presented together with 76 short papers, 2 panels papers, 4 industry papers, 4 doctoral consortium, and 6 workshop...

Informing students about their progress in comparison to their peers has been widely used in educational research as a strong motivational factor, effective gamification technique and means for adaptive guidance to learning material. A typical social comparison interface helps students weight their individual levels against the average levels of ot...

Previous research on technology-enhanced learning indicated that exposing students to information related to their peers’ performance might positively or negatively affect their behavior and performance. For example, recent research has demonstrated that augmenting traditional open learner models (OLMs) with views of the learner model of peers coul...

Textbooks are educational documents created, structured and formatted by domain experts with the main purpose to explain the knowledge in the domain to a novice. Authors use their understanding of the domain when structuring and formatting the content of a textbook to facilitate this explanation. As a result, the formatting and structural elements...

The paper presents Intextbooks - the system for automated conversion of PDF-based textbooks into intelligent educational Web resources. The papers focuses on the new component of Intextbooks responsible for transformation of PDF-based content into semantically-annotated HTML/CSS. The architecture of the system, the design of the client application...

Textbooks are educational documents created, structured and formatted in a way that facilitates understanding. Most digital textbooks are released as mere digital copies of their printed counterparts. We present a mechanism that extracts knowledge models from textbooks and enriches their content with additional links (both internal and external). T...

Introduction. The article is concerned with the use of special electronic teaching tools to increase the students’ understanding of the subject and adaptation to the professional language environment of the host country, taking into account the mathematical education. Our purpose is to develop a methodology of multilingual support of mathematical c...

Statistics is a challenging subject for many university students. In addition to dedicated methods of didactics of statistics, adaptive educational technologies can also offer a promising approach to target this challenge. Inspectable student models provide students with information about their mastery of the domain, thus triggering reflection and...

As the modern TEL tools gain wider adoption in real educational contexts, they start facing important practical problems. One such problem for adaptive educational systems is the reliability of their student modelling mechanisms. Even when such a mechanism has been tested and calibrated to represent students’ knowledge reasonably well, the student...

Armenian State Pedagogical University (ASPU) was established on November 7, 1922 and in 1948 it was named after the great Armenian Enlightener Educator Khachatur Abovian. ASPU implements a three-level education system (Bachelor, Master and Doctorate studies). It has ten faculties.

This chapter introduces engineering mathematics education in the EU, especially in the participating countries Finland and France. Their educational systems correspond to each other to some extent, but still differ in many aspects. Special emphasis is on the curricula of Tampere University of Technology and University of Lyon. The engineering curri...

The two EU Tempus-IV projects MetaMath (www.metamath.eu) and MathGeAr (www.mathgear.eu) have brought together mathematics educators, TEL specialists and experts in education quality assurance from 21 organizations across six countries. A comprehensive comparative analysis of the entire spectrum of math courses in the EU, Russia, Georgia and Armenia...

This chapter outlines the methodology for the comparative analysis of mathematics courses taught in participating Russian, Georgian, Armenian and EU universities to the students of technical and engineering programmes. It identifies a range of factors, based on which the courses have been compared, and it provides recommendations on performing the...

The history of Akaki Tsereteli State University (ATSU) started eight decades ago and now it is distinguished with its traditions throughout Georgia and holds an honorable place in the business of cultural, intellectual and moral education of the Georgian nation. According to the Georgian government’s resolution #39, February 23, 2006 the legal enti...

This chapter describes case studies of math education for STEM in Russian universities: Kazan National Research Technical University named after A.N. Tupolev, Saint Petersburg State Electrotechnical University (LETI), Lobachevsky State University of Nizhni Novgorod, Ogarev Mordovia State University and Tver State University. It includes comparative...

This open access book provides a comprehensive overview of the core subjects comprising mathematical curricula for engineering studies in five European countries and identifies differences between two strong traditions of teaching mathematics to engineers. The collective work of experts from a dozen universities critically examines various aspects...

Children require practical roadside training to learn safe pedestrian behaviour. However, problems associated with exercising on real roads greatly restrict the opportunities to provide such training. This paper presents the results of a study on an alternative approach for practical safety training using a combination of Intelligent Tutoring and V...

Introduction: the paper considers the topical problem of teaching students – future engineers – by computational methods of mathematics. The focus is on developing students̓ necessary professional competencies. Competencies are described in accordance with the Russian Federal State Educational Standard and the international standard by the European...

Adaptive intelligent learning environments (AILE) seek to optimize the learning process for every individual learner. To this end, they create and maintain models of domain knowledge, instructional activities and the learners themselves. AILE is an active area of research that can be traced back to the 1970s. Over these years, a multitude of techno...

Training children safe behavior in traffic situations is both important and challenging. One of the problems is children’s limited perceptual-motor abilities and associated difficulties with important cognitive skills required to be safe pedestrians. Existing traffic education programs focus more on theoretical knowledge, while training practical s...

This paper presents an in-depth analysis of a nonconventional topic-based personalization approach for adaptive educational systems (AES) that we have explored for a number of years in the context of university programming courses. With this approach both student modeling and adaptation are based on coarse-grained knowledge units that we called top...

This work presents an intelligent virtual reality environment for training child traffic safety. Key pedestrian skills are discussed. The overall system design is described together with a set of implemented practical exercises. An evaluation study shows that the approach is well accepted and that children struggle with the same skills in the virtu...

Recent advances in virtual and augmented reality have led to the development of a number of simulations for different applications. In particular, virtual reality simulations for monitoring, evaluation, training, and education have started to emerge. In this work, we introduce a virtual reality environment that provides an immersive traffic simulat...

Recent advances in virtual and augmented reality have led to the development of a number of simulations for different applications. In particular, simulations for monitoring, evaluation, training, and education have started to emerge for the consumer market due to the availability and affordability of immersive display technology. In this work, we...

Math-Bridge is an e-Learning platform for online courses in mathematics. It has been developed as a technology-based educational solution to the problems of bridging courses taught in European universities. Math-Bridge has a number of unique features. It provides access to the largest in the World collection of multilingual, semantically annotated...

Math-Bridge ist eine e-Learning Plattform für mathematische online-Brückenkurse. Das System verfügt über einige einzigartige Features: es ermöglicht Zugriff auf die weltweit größte Sammlung mehrsprachiger, semantisch annotierter mathematischer Lernobjekte; es modelliert das Wissen des Benutzers und nutzt unterschiedliche Adaptationstechniken um eff...

This paper investigates tutoring feedback strategies adaptive to stu-dent motivation. Several static feedback adaptation strategies have been de-signed based on the interactive tutoring feedback (ITF) model, implemented within the Adaptive Educational System (AES) ActiveMath and evaluated in a study with 6th and 7th graders. Student motivation prof...

This issue of the International Journal of Artificial Intelligence in Education is the second of two special issues dedicated to Erica Melis, a close colleague of ours and an important contributor to the research field of Artificial Intelligence in Education (AIED) who passed away in the beginning of 2011. Given Erica’s dedication to mathematics an...

Quality of learning objects metadata, in many respects, defines the quality of an adaptive learning environment presenting these learning objects to a student. Metadata inconsistencies and gaps may be the cause of various problems: from a system malfunction to ineffective learning experiences. In this paper, we propose an intelligent and rigorous m...

In this research, we use Item Response Theory based model for computing procedural knowledge of a sample of primary school children solving fraction addition exercises. For each exercise, the model needs to automatically construct a solution graph. We have explored different strategies for building such graphs and the effects they have on the quali...

Computer science educators are increasingly using interactive learning content to enrich and enhance the pedagogy of their courses. A plethora of such learning content, specifically designed for computer science education, such as visualization, simulation, and web-based environments for learning programming, are now available for various courses....

This paper introduces a novel method for detecting and modeling intentions of students performing training tasks in a Virtual Reality (VR) environment enhanced with intelligent tutoring capabilities. Our VR-setup provides students with an immersive user interface, but produces noisy and low-level input, from which we need to recognize higher-level...

Personalized tutoring feedback is a powerful method that expert human tutors apply when helping students to optimize their learning. Thus, research on tutoring feedback strategies tailoring feedback according to important factors of the learning process has been recognized as a promising issue in the field of computer-based adaptive educational tec...

The Web-revolution in publishing and reading is rapidly increasing the volume of online textbooks. Nowadays, for most of the subjects, a selection of online textbooks is available. Such an abundance leads to an interesting opportunity: if a student does not like how a primary textbook presents a particular topic s/he can always access its alternati...

Many of today's Intelligent Learning Environments record learner interactions. Educational Data Mining and Learning Analytics provide methods to interpret these data and even-tually build models of learner behavior. The detail level, at which interactions are tracked by the learning environment, influences these models. In this paper, we contrast m...

Predicting parameters of an exercise at the design time is not an easy task. We propose a new approach for re-evaluating learning characteristics of interactive exercises designed for Intelligent Tutoring Systems based on analyzing historical data from the exercise usage logs. It combines retrospective step-by-step prediction of student's knowledge...

Teacher and students can use WWW as a limitless source of learning material for nearly any subject. Yet, such abundance of content comes with the problem of finding the right piece at the right time. Conventional adaptive educational systems cannot support personalized access to open-corpus learning material as they rely on manually constructed con...

This paper investigates how local and global self-evaluations of capabilities can be used to predict pupils' problem-solving behaviour in the domain of fraction learning. To answer this question we analyzed logfiles of pupils who worked on multi-trial fraction tasks. Logistic regression analyses revealed that local confidence judgements assessed on...

Math-Bridge is an e-Learning platform for online courses in mathematics. It has a number of unique features: it provides access to the largest in the World collection of multilingual, semantically annotated mathematical learning objects; it models students' knowledge and applies several adaptation techniques to support more effective learning, incl...

Erroneous examples are an instructional technique that hold promise to help children learn. In the study reported in this paper, sixth and seventh grade math students were presented with erroneous examples of decimal problems and were asked to explain and correct those examples. The problems were presented as interactive exercises on the Internet,...

One of the major challenges of research for adaptive learning environments is to detect those learner characteristics responsible for differential effects of instructional designs. The aim of the presented study is thus to analyze differential feedback effects on learning behaviour for students with low vs. high intrinsic motivation. Within a web-b...

This paper describes the development and evaluation of a Bayesian network model of student misconceptions in the domain of decimals. The Bayesian model supports a remote adaptation service for an intelligent t utoring system within a project focused on adaptively presenting erroneous examples to students. We have evaluated the accuracy of the stude...

applications of educational data mining, evaluation of student models is essential for an adaptive educational system. This paper describes the evaluation of a Bayesian model of student misconceptions in the domain of decimals. The Bayesian model supports a remote adaptation service for an Intelligent Tutoring System within a project focused on ada...

This paper describes the development and evaluation of a Bayesian network model of student misconceptions in the domain of decimals. The Bayesian model supports a remote adaptation service for an intelligent tutoring system within a project focused on adaptively presenting erroneous examples to students. We have evaluated the accuracy of the studen...

Content development for adaptive educational systems is known to be an error-prone task. Gaps can occur when the content is created, modified or when the context of its usage changes. This paper aims at improving the existing practises of learning content quality control in adaptive educational systems by automating the detection and management of...

Rapid growth of the volume of interactive questions available to the students of modern E-Learning courses placed the problem of personalized guidance on the agenda of E-Learning researchers. Without proper guidance, students frequently select too simple or too complicated problems and ended either bored or discouraged. This paper explores a specif...

This paper brings together research from two different fields – user modelling and web ontologies – in attempt to demonstrate how recent semantic trends in web development can be combined with the modern technologies of user modelling. Over the last several years, a number of user-adaptive systems have been exploiting ontologies for the purposes of...

Rich, interactive eLearning tools receive a lot of attention nowadays from both practitioners and researchers. However, broader dissemination of these tools is hindered by the technical difficulties of their integration into existing platforms. This article explores the technical and conceptual problems of using several interactive educational tool...

Rich, interactive eLearning tools receive a lot of attention nowadays from both practitioners and researchers. However, broader dissemination of these tools is hindered by the technical difficulties of their integration into existing platforms. This article explores the technical and conceptual problems of using several interactive educational tool...

The original publication is available at http://www.springerlink.com With the growth of adaptive educational systems available to students, integration of these systems is evolving from an interesting research problem into an important practical task. One of the challenges that needs to be addressed is the development of mechanisms for student mode...

This paper explores the impact of adaptive navigation support on student work with parameterized questions in the domain of object-oriented programming. In the past, we developed QuizJET system, which is able to generate and assess parameterized Java programming questions. More recently, we developed JavaGuide system, which enhances QuizJET questio...

Problem-tracing questions are popular among teachers of various programming languages. In an assessment mode these questions allows to evaluate student knowledge of language semantics. In a self-assessment mode, they provide an excellent learning tool. A 2004 ITiCSE working group report [4] stressed the importance of this type of questions to build...

Open-corpus personalization is an important problem for modern Web-based adaptive systems. Its solution can greatly advance dissemination of adaptive and intelligent technologies, especially in education. The existing closed-corpus adaptive learning systems operate with a limited amount of content in a limited number of learning domains. A teacher...

In this paper, we are presenting a retrospective approach to evaluating user models by utilizing previously collected learning logs rather than setting up a new experiment. This approach is applied in a novel way to modeling heterogeneous types of user activity - problem solving, and browsing annotated examples. We are blending the two types of act...

With the growth of adaptive educational systems available to students, integration of these systems is changing from an interesting research problem into an important practical task. One of the challenges that need to be accepted on the way is the development of mechanisms for student model integration. The architectural principles and representati...

-Adaptive link annotation is a popular adaptive navigation support technology. Empirical studies of adaptive annotation in the educational context have demonstrated that it can help students to acquire knowledge faster, improve learning outcomes, reduce navigational overhead, and encourage non-sequential navigation. In this paper, we present our...

In this paper, we present an open architecture that combines different SQL learning tools in an integrated Exploratorium for database courses. The integrated Exploratorium provides a unique learning environment that allows database students to take complimentary advantages of multiple advanced learning tools.

In this paper, we present an open architecture that combines different SQL learning tools in an integrated Exploratorium for database courses. The integrated Exploratorium provides a unique learning environment that allows database students to take complimentary advantages of multiple advanced learning tools.

In a recent study, we discovered a new effect of adaptive navigation support in the context of E-learning: the ability to motivate student to work more with non-mandatory educational content. The results presented in this paper extend the limits of our earlier findings. We describe the implementation of adaptive navigation support for the SQL domai...

Each question in QuizPACK is actually a template of the simple program in C, where one of the numeric parameters is dynamically instantiated with a randomly chosen value, when delivered to the student. Hence, QuizPACK organize a cheating-proof assessment of C-knowledge. In the self-assessment context QuizPACK provides a student with a directed-lear...

Web-based questions for assessment and self-assessment of students' knowledge are important components of modern E-Learning. Parameterized questions allow to enhance the value of Web-based questions while also decreasing the authoring costs. This paper discusses the problems of implementation and evaluation of online parameterized questions for the...

Conventional closed-corpus adaptive information systems control limited sets of documents in predefined domains and cannot provide access to the external content. Such restrictions contradict the requirements of today, when most of the information systems are implemented in the open document space of the World Wide Web and are expected to operate o...

With the growth of adaptive educational systems available for students, semantic integration of user modeling information from these systems is emerging into an important practical task. Ontologies can serve as the major representational framework for such integration. However, not all adaptive systems rely on ontologies for representing domain kno...

With the growth of adaptive educational systems available to students, semantic integration of user modeling information from these systems is emerging into an important practical task. Ontologies can serve as the major representational framework for such integration. In this paper, we report an experiment on integration of domain models of two dif...

Content authoring is an important part of adaptive educational system development process. The success of the large-scale transfer of these systems to the real classrooms highly depends on how actively classroom teachers will be involved in the content authoring. This paper suggests an approach to the adaptive content authoring based on the coarse-...

The effectiveness of an adaptive educational system in many respects depends on the precision of modeling assumptions it makes about a student. One of the well-known challenges in student modeling is to adequately assess the initial level of student's knowledge when s/he starts working with a system. Sometimes potentially handful data are available...

Personalized E-Learning systems have a potential to advance distance learning education to a new level. The evaluation of several personalized E-Learning systems in the context of regular classes offered by top research universities and teaching colleges demonstrated their ability to increase both quality of learning and student motivation to learn...