Peter Brusilovsky

Peter Brusilovsky
University of Pittsburgh | Pitt · School of Computing and Information

PhD

About

572
Publications
151,855
Reads
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23,321
Citations
Introduction
*Looking for new PhD students to join the team* The focus of our work is developing adaptive Web-based systems that can provide highly personalized user support. Within Web personalization, I am mostly concerned with personalized E-Learning and adaptive information access. As a researcher, professor, and consultant, I have developed or co-developed a wide range of personalized systems over the last 30 years. A number of them can be accessed from my home page and the home page of PAWS group.
Additional affiliations
March 1996 - December 1997
Carnegie Mellon University
Position
  • Visiting Researcher
November 1994 - March 1996
Universität Trier
Position
  • Alexander von Humboldt Fellow

Publications

Publications (572)
Article
Full-text available
Open student modeling (OSM) is an approach to technology-based learning, which makes student models available to the learners for exploration. OSM is known for its ability to increase student engagement, motivation, and knowledge reflection. A recent extension of OSM known as open social student modeling (OSSM) complements cognitive aspects of OSM...
Chapter
Full-text available
This chapter offers an introduction to the emerging field of social information access. Social information access focuses on technologies that organize users past interaction with information in order to provide future users with better access to information. These technologies have become increasingly more popular in all areas of information acces...
Article
Full-text available
Abstract Over the past decades, computer science educators have developed a multitude of interactive learning resources to support learning in various computer science domains, especially in introductory programming. While such smart content items are known to be beneficial, they are frequently offered through different login-based systems, each wi...
Book
Full-text available
Springer International Publishing AG, part of Springer Nature 2018. Today, most people find what they are looking for online by using search engines such as Google, Bing, or Baidu. Modern web search engines have evolved from their roots in information retrieval to developing new ways to cope with the unique nature of web search. In this chapter, we...
Article
“Social Navigation” for the Web has been created in response to the problem of disorientation in an information space. It helps users tackle the information overload challenge by visualizing the traces of behavior of other users and adding social affordances to the information space. Despite the popularity of the concept of social navigation, very...
Chapter
Studies of technology-enhanced learning (TEL) environments indicated that learner behavior could be affected (positively or negatively) by presenting information about their peer groups, such as peer in-system performance or course grades. Researchers explained these findings by the social comparison theory, competition, or by categorizing them as...
Article
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...
Conference Paper
Full-text available
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...
Presentation
Full-text available
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...
Preprint
Full-text available
False information detection models are susceptible to adversarial attacks. Such susceptibility is a critical weakness of detection models. Automated creation of adversarial samples can ultimately help to augment training sets and create more robust detection models. However, automatically generated adversarial samples often do not preserve the info...
Chapter
Full-text available
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...
Chapter
We present here a novel instructional resource, called DeepCode, to support deep code comprehension and learning in intro-to-programming courses (CS1 and CS2). DeepCode is a set of instructional code examples which we call a codeset and which was annotated by our team with comments (e.g., explaining the logical steps of the underlying problem being...
Article
Background Patients and caregivers widely use online health communities (OHCs) to acquire knowledge from peers. Questions posed in OHCs reflect participants’ learning objectives and differ in their level of cognitive complexity. However, little is known about the topics and levels of participants’ learning objectives and the corresponding support t...
Article
Full-text available
An interactive recommender system pursues two somewhat contradictory goals. On one hand, the system should provide highly relevant recommendations with the best match to the overall user needs. On the other hand, the recommendations should be sufficiently diverse to cover a range of users' possible interests. Such recommendations increase chances t...
Article
Full-text available
Educational data mining research has demonstrated that the large volume of learning data collected by modern e-learning systems could be used to recognize student behavior patterns and group students into cohorts with similar behavior. However, few attempts have been done to connect and compare behavioral patterns with known dimensions of individua...
Article
Online learning systems allow learners to freely access learning contents and record their interactions throughout their engagement with the content. By using data mining techniques on the student log data of those systems, it is possible to examine learning behavior and reveal navigation patterns through learning contents. This study was aimed at...
Conference Paper
Full-text available
We present in this paper a summary analysis of log files collected during an experiment designed to test the hypothesis that prompting for free self-explanations leads to better comprehension of computer code examples. Indeed, the results indicate that students who were prompted to self-explain while trying to understand code examples performed sig...
Article
Full-text available
Ovarian cancer (OvCa) patients and caregivers have constant and evolving information needs. To meet their needs, they seek information from various resources, including online health information. Although about 60% of cancer patients are now using the Internet to meet their information needs, little is known about online health information seeking...
Conference Paper
Full-text available
Using carousels to present recommendation results has been widely adapted for consumer-focused applications such as recommending movies and music. Carousel-based interfaces engage users in the recommendation process, leaving it to the user to decide which category of items is most relevant to them, yet leaving it to AI to produce a ranking of both...
Preprint
BACKGROUND Online health communities (OHCs) provide ovarian cancer (OvCa) patients, survivors, and their caregivers assistance beyond their traditional support channels. OvCa OHC promotes connection and exchange information among users who had similar experiences. This exchange of information often leads to resource sharing amongst users, as web li...
Article
Background: Online health communities (OHCs) provide ovarian cancer (OvCa) patients, survivors, and their caregivers with help beyond traditional support channels, such as health care providers and clinicians. OvCa OHCs promote connections and exchanges of information among users who have similar experiences. Users often exchange information, whic...
Article
Full-text available
With the increased popularity of electronic textbooks, there is a growing interest in developing a new generation of “intelligent textbooks,” which have the ability to guide readers according to their learning goals and current knowledge. Intelligent textbooks extend regular textbooks by integrating machine-manipulable knowledge, and the most popul...
Article
Full-text available
In recent years, researchers in the field of recommender systems have explored a range of advanced interfaces to improve user interactions with recommender systems. Some of the major research ideas explored in this new area include the explainability and controllability of recommendations. Controllability enables end users to participate in the rec...
Chapter
This paper contributes to the research on explainable educational recommendations by investigating explainable recommendations in the context of personalized practice system for introductory Java programming. We present the design of two types of explanations to justify recommendation of next learning activity to practice. The value of these explai...
Conference Paper
Full-text available
This paper presents our attempt to create an exploratory search system, PaperExplorer, for a historic archive of conference proceedings. PaperExplorer uses concept extraction, knowledge graphs, and user-controlled recommendation to assist users with various levels of domain expertise in their information needs.
Article
Over the last 10 years, learning analytics have provided educators with both dashboards and tools to understand student behaviors within specific technological environments. However, there is a lack of work to support educators in making data-informed design decisions when designing a blended course and planning appropriate learning activities. In...
Article
With the wide expansion of distributed learning environments the way we learn became more diverse than ever. This poses an opportunity to incorporate different data sources of learning traces that can offer broader insights into learner behavior and the intricacies of the learning process. We argue that combining analytics across different e-learni...
Article
Purpose Interest is currently growing in open social learner modeling (OSLM), which means making peer models and a learner's own model visible to encourage users in e-learning. The purpose of this study is to examine students' views about the OSLM in an e-learning system. Design/methodology/approach This case study was conducted with 40 undergradu...
Article
Full-text available
Abstract Research has demonstrated that people generally think both their knowledge and performance levels are greater than they are. Although several studies have suggested that knowledge and progress visualization offered by open learner modeling (OLM) technology might influence students’ self-awareness in a positive way, insufficient evidence ex...
Article
Full-text available
Finding research advisors is an important and challenging task for college students. On one hand, a research advisor that matches student interests and past preparation could fully engage the student with an exciting and productive research experience. On the other hand, students are frequently unable to formulate their interests and experience in...
Conference Paper
Full-text available
Meeting other scholars at conferences is often a stochastic, intuition-driven process. Social recommender systems can support identifying new collaboration partners that one might not naturally choose. However, to boost the accumulation of social capital, such systems must be designed for diversifying social connections. This paper draws from the e...
Chapter
In this paper, we introduce an approach that combines automatic domain knowledge modeling, student modeling, and content recommendation approaches to recommend relevant Wikipedia articles for students working with online electronic textbooks.
Chapter
Full-text available
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...
Conference Paper
Full-text available
This paper presents our attempt to create an exploratory search system CovEx for a collection of academic papers related to COVID-19. CovEx uses concept extraction, knowledge graphs, and user-controlled recommendation to assist users with various levels of domain expertise in their information needs. CCS CONCEPTS • Information systems → Graph-based...
Article
The increasing popularity of digital textbooks as a new learning media has resulted in a growing interest in developing a new generation of adaptive textbooks that can help readers to learn better through adapting to the readers’ learning goals and the current state of knowledge. These adaptive textbooks are most frequently powered by internal know...
Conference Paper
Full-text available
Assessment plays a vital role in learning, as it provides both instructors and students with feedback on the overall effectiveness of their teaching or learning. However, when a student fails to correctly answer certain questions in an assessment (such as a quiz), the student needs specific recommendations that are tailored to their learning needs...
Conference Paper
Full-text available
Over the last 10 years, the world experienced a rapid increase in volume and diversity of digital learning resources. The abundance of digital resources could support a range of powerful educational scenarios, which were not available before. In this paper, we introduce a novel approach that combines fully automatic knowledge modeling, student mode...
Preprint
Full-text available
This paper presents our attempt to create an exploratory search system CovEx for a collection of academic papers related to COVID-19. CovEx uses concept extraction, knowledge graphs, and user-controlled recommendation to assist users with various levels of domain expertise in their information needs. CCS CONCEPTS • Information systems → Graph-based...
Conference Paper
Full-text available
Finding research advisors is an important and challenging task for college students. On one hand, a research advisor that matches student interests and past preparation could fully engage the student with an exciting and productive research experience. On the other hand, students are frequently unable to formulate their interests and experience in...
Conference Paper
Full-text available
Behnam Rahdari [0000−0001−6514−912X] , Peter Brusilovsky [0000−0002−1902−1464] , Khushboo Thaker [0000−0003−3619−9376] , and Jordan Barria-Pineda [0000−0002−4961−4818] Abstract. In this paper, we introduce an approach that combines automatic domain knowledge modeling, student modeling, and content recommendation approaches to recommend relevant Wik...
Conference Paper
Full-text available
Over the past two decades, several information exploration approaches were suggested to support a special category of search tasks known as exploratory search. These approaches creatively combined search, browsing, and information analysis steps shifting user efforts from recall (formulating a query) to recognition (i.e., selecting a link) and help...
Article
This research is focused on how to support students’ acquisition of program construction skills through worked examples. Although examples have been consistently proven to be valuable for student’s learning, the learning technology for computer science education lacks program construction examples with interactive elements that could engage student...
Preprint
Full-text available
With the increased popularity of electronic textbooks, there is a growing interests in developing a new generation of "intelligent textbooks", which have the ability to guide the readers according to their learning goals and current knowledge. The intelligent textbooks extend regular textbooks by integrating machine-manipulatable knowledge such as...
Conference Paper
Full-text available
Recent studies have shown that students follow stable behav-ioral patterns while learning in online educational systems. These behavioral patterns can further be used to group the students into different clusters. However, as these clusters include both high-and low-performance students, the relation between the behavioral patterns and student perf...
Conference Paper
Full-text available
Recommender system helps users to reduce information overload. In recent years, enhancing explainability in recommender systems has drawn more and more attention in the field of Human-Computer Interaction (HCI). However, it is not clear whether a user-preferred explanation interface can maintain the same level of performance while the users are exp...