Computational Psychometrics Approach to Holistic Learning and Assessment Systems

Von Davier, A. A., Deonovic, B. E., Yudelson, M., Polyak, S., & Woo, A. (2019). Computational Psychometrics Approach to Holistic Learning and Assessment Systems. Frontiers in Education, (4), 69.  DOI

The Argument for a "Data Cube" for Large-Scale Psychometric Data

BigData&Scale

Von Davier, A. A., Wong, P. C., Polyak, S., & Yudelson, M. (2019). The Argument for a "Data Cube" for Large-Scale Psychometric Data. Frontiers in Education 4, 71.  DOI

Learning meets assessment

HMM

Deonovic, B., Yudelson, M., Bolsinova, M., Attali, M., & Maris, G. (2018). Learning meets assessment. On the relation between item response theory and Bayesian knowledge tracing. Behaviormetrika, TBD 45(2), 457—474.  DOI

Testing Theories of Transfer Using Error Rate Learning Curves

Koedinger, K., Yudelson, M., & Pavlik, P. (2016). Testing Theories of Transfer Using Error Rate Learning Curves. In: Goldstone, R. & Lupyan, G. (Eds.). Topics in Cognitive Science, 8 (3), 589—609.  DOI

A Measurement Model of Microgenetic Transfer for Improving Instructional Outcomes

Pavlik, P.I., Yudelson, M., Koedinger, K.R. (2015) A Measurement Model of Microgenetic Transfer for Improving Instructional Outcomes. International Journal of Artificial Intelligence in Education, 25 (3), 1v34.  DOI

Learning sql programming with interactive tools: From integration to personalization

Brusilovsky, P., Sosnovsky, S., Yudelson, M., Lee, D., Zadorozhny, V., and Zhou, X. (2010) Learning sql programming with interactive tools: From integration to personalization. ACM Transactions on Computing Education, 9 (4), 1—15.  DOI

Addictive Links: The Motivational Value of Adaptive Link Annotation

Brusilovsky, P., Sosnovsky, S., and Yudelson, M. (2009) Addictive Links: The Motivational Value of Adaptive Link Annotation. New Review of Hypermedia and Multimedia, 15 (1), 97–118.  DOI

Problem solving examples as first class objects in educational digital libraries: Three obstacles to overcome

Brusilovsky, P., Yudelson, M., and Hsiao, I.-H. (2009) Problem solving examples as first class objects in educational digital libraries: Three obstacles to overcome. Journal of Educational Multimedia and Hypermedia, 18 (3), 267—288.

From WebEx to NavEx: Interactive access to annotated program examples

Brusilovsky, P. and Yudelson, M. V. (2008) From WebEx to NavEx: Interactive access to annotated program examples. Proceedings of the IEEE, 96 (6), 990–999.  DOI

A multifactor approach to student model evaluation

Yudelson, M. V., Medvedeva, O., and Crowley, R. S. (2008) A multifactor approach to student model evaluation. User Modeling and User-Adapted Interaction, 18 (4), 349—382.  DOI

A Framework for Performance Evaluation of User Modeling Servers for Web Applications

Zadorozhny, V., Yudelson, M., and Brusilovsky, P. (2008) A Framework for Performance Evaluation of User Modeling Servers for Web Applications. Web Intelligence and Agent Systems, 6 (2), 175—191.  DOI

Application of Cognitive Diagnostic Models to Learning and Assessment Systems

Deonovic, B., Chopade, P., Yudelson, M., de la Torre, J., & von Davier, A. (2019). Application of Cognitive Diagnostic Models to Learning and Assessment Systems. In: von Davier, M., Lee, YS. (eds) Handbook of Diagnostic Classification Models. Methodology of Educational Measurement and Assessment. (pp. 437—460). Springer, Cham.  DOI

Modeling dynamic team interactions for intelligent tutoring

Chopade, P., Yudelson, M., Deonovic, B., & von Davier, A. A. (2018). Modeling dynamic team interactions for intelligent tutoring. In: Building Intelligent Tutoring Systems for Teams: What Matters (pp. 131—151). Emerald Publishing Limited.  DOI

Semantic Integration of Adaptive Educational Systems

Sosnovsky, S. A., Brusilovsky, P., Yudelson, M., Mitrovic, A., Mathews, M., and Kumar, A. N. (2009) Semantic Integration of Adaptive Educational Systems. In: T. Kuflik, S. Berkovsky, F. Carmagnola, D. Heckmann, and A. Krüger (Eds.), Advances in Ubiquitous User Modelling (134—158).  DOI

Elo-infused Bayesian Knowledge Tracing – an approach to operationalized individualization

HMM Elo

Yudelson, M. (2021) Elo-infused Bayesian Knowledge Tracing – an approach to operationalized individualization. In Proceedings of the 2nd Conference on Artificial Intelligence in Education (AIEd 2021), June 14-18, 2021, Utrecht, NL and Online.  PDF

Towards Scalable Gamified Assessment in Support of Collaborative Problem-Solving Competency Development in Online and Blended Learning

Rosen, Y., Stoeffler, K., Simmering, V., & Yudelson, M. (2020) Towards Scalable Gamified Assessment in Support of Collaborative Problem-Solving Competency Development in Online and Blended Learning. In Proceedings of the Seventh ACM Conference on Learning at Scale (L@S 2020), Association for Computing Machinery, New York, NY, USA, 369—372.  DOI

Deep Knowledge Tracing with Transformers

HMM

Pu, S., Yudelson, M., Ou, L. & Huang, Y. (2020) Deep Knowledge Tracing with Transformers. In Proceedings of the 21st International Conference on Artificial Intelligence in Education (AIED 2020). Online, July 6-10, 2020.  DOI

Leveraging Skill Hierarchy for Multi-Level Modeling with Elo Rating System

Elo BigData&Scale

Yudelson, M., Rosen, Y., Polyak, S., & de la Torre, J. (2019) Leveraging Skill Hierarchy for Multi-Level Modeling with Elo Rating System. In Proceedings of the Sixth ACM Conference on Learning at Scale (L@S 2019), Chicagom IL, USA, June 24-25, 2019, (32:1—32:4). ACM, New York, NY, USA.  PDF DOI

Elo, I Love You Won’t You Tell Me Your K

Elo

Yudelson, M. (2019) Elo, I Love You Won’t You Tell Me Your K. In: M. Scheffel, J. Broisin, V. Pammer-Schindler, A. Ioannou, & J. Schneider (Eds.) Proceedings of 14th European Conference on Technology Enhanced Learning (EC-TEL 2019), Delft, The Netherlands, September 16-19, 2019, (213—223). Springer,  PDF DOI

Intelligent Instructional Hand Offs

BigData&Scale

Fancsali, S., Yudelson, M., Berman, S., & Ritter, S. (2018) Intelligent Instructional Hand Offs. In: K.E. Boyer, M. Yudelson (Eds.) Proceedings of 11th International Conference on Educational Data Mining (EDM 2018), Buffalo, NY, USA, July 15-18, 2018, (198—207).  PDF

Stereotype Modeling for Problem-Solving Performance Predictions in MOOCs and Traditional Courses

BigData&Scale

Hosseini, R., Brusilovsky, P., Yudelson, M., & Hellas, A. (2017) Stereotype Modeling for Problem-Solving Performance Predictions in MOOCs and Traditional Courses. In Proceedings of the International Conference on User Modeling, Adaptation, and Personalization (UMAP 2017). Bratislava, Slovakia, July 9-12, 2017, ACM, New York, NY, USA (pp. 76—84).  DOI

Detecting Diligence with Online Behaviors on Intelligent Tutoring Systems

Dang, S., Yudelson, M., & Koedinger, K. (2017) Detecting Diligence with Online Behaviors on Intelligent Tutoring Systems. In Proceedings of the Fourth ACM Conference on Learning at Scale (L@S 2017). ACM, New York, NY, USA, (pp. 5159).  DOI

An Analysis of Human Tutors’ Actions in Tutorial Dialogues

BigData&Scale

Rus, V., Maharjan, N., Tamang, L., Yudelson, M., Berman, S., Fancsali, S., Ritter, S. (2018) An Analysis of Human Tutors’ Actions in Tutorial Dialogues. In: Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference (FLAIRS 2018). AAAI Press, Marco Island, FL, USA, (pp. 122—127).  PDF

How Mastery Learning Works at Scale

BigData&Scale

Ritter, S., Yudelson, M., Fancsali, S., & Berman, S. (2016) How Mastery Learning Works at Scale. In: Proceedings of 3rd Annual ACM Conference on Learning at Scale (L@S 2016), Edinburgh, UK, April 25-26, 2016, ACM Press, (pp. 71—79).  DOI

A Framework for Dynamic Knowledge Modeling in Textbook-Based Learning

Huang, Y., Yudelson, M., Han, S., He, D., & Brusilovsky, P. (2016) A Framework for Dynamic Knowledge Modeling in Textbook-Based Learning. In: Proceedings of 24th Conference on User Modeling, Adaptation and Personalization (UMAP 2016), Halifax, Canada, July 13-17, 2016, ACM Press, (pp. 141—150).  DOI

Individualizing Bayesian Knowledge Tracing

HMM

Yudelson, M. (2016) Individualizing Bayesian Knowledge Tracing. Are Skill Parameters More Important Than Student Parameters?. In: T. Barnes, M. Chi, and M. Feng (Eds.) Proceedings of 9th International Conference on Educational Data Mining (EDM 2016), Raleigh, NC, USA, June 29-July 2-17, 2016, (556—561).  PDF

Implementation Factors, Outcomes for Intelligent Tutoring Systems: A Case Study of Time, Efficiency with Cognitive Tutor Algebra

Fancsali, S.E., Ritter, S., Yudelson, M., Sandbothe, M., Berman, S.R. (2016) Implementation Factors, Outcomes for Intelligent Tutoring Systems: A Case Study of Time, Efficiency with Cognitive Tutor Algebra. In: Z. Markov and I. Russell (Eds.) Proceedings of 29th International Florida Artificial Intelligence Research Society Conference, (FLAIRS 2016), Key Largo, Florida, May 16-18, 2016, AAAI Press (pp. 473—478).  PDF

Small Improvement for the Model Accuracy – Big Difference for the Students

Yudelson, M. & Ritter, S. (2015) Small Improvement for the Model Accuracy – Big Difference for the Students. In: Proceedings of 17th International Conference on Artificial Intelligence in Education (AIED 2015), Madrid, Spain.  PDF

Spectral Bayesian Knowledge Tracing

HMM

Falakmasir, M., Yudelson, M., Ritter, & Koedinger, K. (2015) Spectral Bayesian Knowledge Tracing. In: O. Santos, J. Boticario, C. Romero, M. Pechenizkiy, A. Merceron, P. Mitros, J.M. Luna, C. Mihaescu, P. Moreno, A. Hershkovitz, S. Ventura, & M. Desmarais (eds.) Proceedings of the 8th International Conference on Educational Data Mining (EDM 2015), Madrid, Spain, (pp. 360—363).  PDF

Better Data Beats Big Data

BigData&Scale

Yudelson, M., Fancsali, S., Ritter, S., Berman, S., Nixon, T., & Joshi, A. (2014) Better Data Beats Big Data. In: J. Stamper, Z. Pardos, M. Mavrikis, B. McLaren (eds.) Proceedings of the 7th International Conference on Educational Data Mining (EDM 2014), London, UK, (pp.204—208).  PDF

Investigating Automated Student Modeling in a Java MOOC

BigData&Scale

Yudelson, M., Hosseini, R., Vihavainen, A. & Brusilovsky, P. (2014) Investigating Automated Student Modeling in a Java MOOC. In: J. Stamper, Z. Pardos, M. Mavrikis, B. McLaren (eds.) Proceedings of the 7th International Conference on Educational Data Mining (EDM 2014), London, UK, (pp.261—264).  PDF

Goal orientation, selfefficacy, and "online measures" in intelligent tutoring systems

Fancsali, S. E., Bernacki, M. L., Nokes-Malach, T. J., Ritter, S., & Yudelson, M. (2014) Goal orientation, selfefficacy, and "online measures" in intelligent tutoring systems. In: Proceedings of the 36th Annual Meeting of the Cognitive Science Society (CogSci 2014), Quebec City, Quebec.

Individualized Bayesian Knowledge Tracing Models

HMM

Yudelson, M., Koedinger, K., Gordon, G. (2013) Individualized Bayesian Knowledge Tracing Models. In: Lane, H.C., and Yacef, K., Mostow, J., Pavlik, P.I. (eds.) Proceedings of 16th International Conference on Artificial Intelligence in Education (AIED 2013), Memphis, TN. LNCS vol. 7926, (pp. 171—180). Springer-Verlag Berlin Heidelberg (2013).  PDF DOI

Policy Building - An Extension To User Modeling

Yudelson, M., Brunskill, E. (2012) Policy Building - An Extension To User Modeling. In K. Yasef, O. Zaïane, A. Hershkovitz, and M. Yudelson (Eds.) Proceedings of the 5th International Conference on Educational Data Mining (EDM 2012), Chania, Greece, (pp. 181—191).  PDF

User Modeling – a Notoriously Black Art

Yudelson, M., Pavlik, P.I., Koedinger, K.R. (2011) User Modeling – a Notoriously Black Art. In J.A. Konstan, R. Conejo, J.L. Marzo, and N. Oliver (Eds.) Proceedings of the 19th International Conference on User Modeling Adaptation and Personalization (UMAP 2011), Girona, Spain, (pp. 317—328).  PDF DOI

Using Contextual Factors Analysis to Explain Transfer of Least Common Multiple Skills

Pavlik, P.I., Yudelson, M., Koedinger, K.R. (2011) Using Contextual Factors Analysis to Explain Transfer of Least Common Multiple Skills. In G. Biswas, S. Bull, J. Kay, and A.Mitrovic (Eds.) Proceedings of the 15th International Conference on Artificial Intelligence in Education (AIED 2011), Eindhoven, The Netherlands, (pp. 256—263).  DOI

Using numeric optimization to refine semantic user model integration of adaptive educational systems

HMM

Yudelson, M., Brusilovsky, P., Mitrovic, A., and Mathews, M. (2010). Using numeric optimization to refine semantic user model integration of adaptive educational systems. In R. S. J. d. Baker, A. Merceron, and P. Pavlik (Eds.), 3rd International Conference on Educational Data Mining (EDM 2010), Pittsburgh, USA, (pp. 221–230)  PDF

Annotated program examples as first class objects in an educational digital library

Brusilovsky, P., Hsiao, I.-H., and Yudelson, M. (2008). Annotated program examples as first class objects in an educational digital library. In R. L. Larsen, A. Paepcke, J. L. Borbinha, and M. Naaman (Eds.), ACM/IEEE Joint Conference on Digital Libraries (JCDL 2008), (pp. 337—340).  DOI

An open integrated exploratorium for database courses

Brusilovsky, P., Sosnovsky, S. A., Lee, D. H., Yudelson, M., Zadorozhny, V., and Zhou, X. (2008). An open integrated exploratorium for database courses. In J. Amillo, C. Laxer, E. M. Ruiz, and A. Young (Eds.), 13th Annual SIGCSE Conference on Innovation and Technology in Computer Science Education (ITiCSE 2008), (pp. 22—26).  DOI

Ontology-based Integration of Adaptive Educational Systems

Sosnovsky, S., Mitrovic, A., Lee, D., Brusilovsky, P., and Yudelson, M. (2008). Ontology-based Integration of Adaptive Educational Systems. In 16th International Conference on Computers in Education (ICCE'2008), (pp. 11—18).

Adaptive Link Annotation in Distributed Hypermedia Systems: The Evaluation of a Service-Based Approach

Yudelson, M. and Brusilovsky, P. (2008). Adaptive Link Annotation in Distributed Hypermedia Systems: The Evaluation of a Service-Based Approach. In W. Nejdl, J. Kay, P. Pu, and E. Herder (Eds.), 5th International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems (AH 2008), (pp. 245—254).  DOI

Integrating Interactive Learning Content into an Adaptive E-Learning System: Lessons Learned

Meccawy, M., Brusilovsky, P., Ashman, H., Yudelson, M., and Shcherbinina, O. (2007). Integrating Interactive Learning Content into an Adaptive E-Learning System: Lessons Learned. In T. Bastiaens and S. Carliner (Eds.), World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (ELEARN 2007), (pp. 6314—6319).

Applying Learning Factors Analysis to Build Stereotypic Student Models

Rafferty, A. N. and Yudelson, M. (2007). Applying Learning Factors Analysis to Build Stereotypic Student Models. In R. Luckin, K. R. Koedinger, and J. E. Greer (Eds.), Proceedings of 13th International Conference on Artificial Intelligence in Education (AIED 2007), Marina Del Rey, USA (pp. 697—698). Recipient of Martial Vivet Best Paper Prize for Young Researchers

A User Modeling Server for Contemporary Adaptive Hypermedia: An Evaluation of the Push Approach to Evidence Propagation

Yudelson, M., Brusilovsky, P., and Zadorozhny, V. (2007). A User Modeling Server for Contemporary Adaptive Hypermedia: An Evaluation of the Push Approach to Evidence Propagation. In: C. Conati, K. F. McCoy, and G. Paliouras (Eds.) Proceedings of 11th International Conference on User Modeling (UM 2007), (pp. 27—36). Recipient of James Chen Best Student Paper Award  DOI

Adaptive Knowledge-Based Visualization for Accessing Educational Examples

Brusilovsky, P., Ahn, J.-w., Dumitriu, T., and Yudelson, M. (2006). Adaptive Knowledge-Based Visualization for Accessing Educational Examples. In 10th International Conference on Information Visualization (IV 2006), (pp. 142—150).

Addictive Links: The Motivational Value of Adaptive Link Annotation in Educational Hypermedia

Brusilovsky, P., Sosnovsky, S. A., and Yudelson, M. (2006). Addictive Links: The Motivational Value of Adaptive Link Annotation in Educational Hypermedia. In V. P. Wade, H. Ashman, and B. Smyth (Eds.), 4th International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems (AH 2006), (pp. 51—60).

Ontology-based Framework for User Model Interoperability in Distributed Learning Environments

Brusilovsky, P., Sosnovsky, S., and Yudelson, M. (2005). Ontology-based Framework for User Model Interoperability in Distributed Learning Environments. In G. Richards (Ed.), World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, (pp. 2851—2855).

Interactive Authoring Support for Adaptive Educational Systems

Brusilovsky, P., Sosnovsky, S. A., Yudelson, M., and Chavan, G. (2005). Interactive Authoring Support for Adaptive Educational Systems. In C.-K. Looi, G. I. McCalla, B. Bredeweg, and J. Breuker (Eds.), 12th International Conference on Artificial Intelligence in Education (AIED 2005), (pp. 96—103).

Collaborative Paper Exchange

Brusilovsky, P., Yudelson, M., and Sosnovsky, S. (2005). Collaborative Paper Exchange. In G. Richards (Ed.), World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (ELEARN 2005) (pp. 2844—2850).

NavEx: Providing Navigation Support for Adaptive Browsing of Annotated Code Examples

Yudelson, M. and Brusilovsky, P. (2005). NavEx: Providing Navigation Support for Adaptive Browsing of Annotated Code Examples. In C.-K. Looi, G. I. McCalla, B. Bredeweg, and J. Breuker (Eds.), 12th International Conference on Artificial Intelligence in Education (AIED 2005), (pp. 710—717).

An Adaptive E-Learning Service for Accessing Interactive Examples

Brusilovsky, P., Yudelson, M., and Sosnovsky, S. (2004). An Adaptive E-Learning Service for Accessing Interactive Examples. In G. Richards (Ed.), World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (ELEARN 2004), (pp. 2556—2561).

Accessing Interactive Examples with Adaptive Navigation Support

Yudelson, M., Brusilovsky, P., and Sosnovsky, S. A. (2004). Accessing Interactive Examples with Adaptive Navigation Support. In Kinshuk, C.-K. Looi, E. Sutinen, D. G. Sampson, I. Aedo, L. Uden, and E. Kähkönen (Eds.), Proceedings of the IEEE International Conference on Advanced Learning Technologies (ICALT 2004), Joensuu, Finland. IEEE Computer Society.

Toward Integrating Cognitive Tutor Interaction Data with Human Tutoring Text Dialogue Data in LearnSphere

Fancsali, S.E., Ritter, S., Berman, S.R., Yudelson, M., Rus, V., and Morrison, D.M. (2016). Toward Integrating Cognitive Tutor Interaction Data with Human Tutoring Text Dialogue Data in LearnSphere. In: J.P. Rowe and E.L. Snow (Eds.), Proceedings of the Workshops at the 9th International Conference on Educational Data Mining, Raleigh, NC, USA, June 29, 2016.  PDF

Regularizing Student Parameters of Individualized Bayesian Knowledge Tracing Model

HMM

Yudelson, M. (2016). Regularizing Student Parameters of Individualized Bayesian Knowledge Tracing Model. In: J.P. Rowe and E.L. Snow (Eds.), Proceedings of the Workshops at the 9th International Conference on Educational Data Mining, Raleigh, NC, USA, June 29, 2016.  PDF

Towards Moment of Learning Accuracy

Pardos, Z and Yudelson, M. (2013). Towards Moment of Learning Accuracy. In: E. Walker and C.-K. Looi (Eds.), Proceedings of the Workshops at the 16th International Conference on Artificial Intelligence in Education AIED 2013, Memphis, USA, July 9-13, 2013.  PDF

PERSEUS – personalization services engine

Yudelson, M. (2010). PERSEUS – personalization services engine. In: S. Berkovsky, F. Abel, G.-J. Houben, E. Herder, M. Pechenizkiy, and M. Yudelson (Eds.), Workshop on Architectures and Building Blocks of Web-Based User-Adaptive Systems (WABBWUAS 2010), (pp. 47—49).

Database exploratorium: a semantically integrated adaptive educational system

Brusilovsky, P., Mitrovic, A., Sosnovsky, S., Mathews, M., Yudelson, M., Lee, D., and Zadorozhny, V. (2009). Database exploratorium: a semantically integrated adaptive educational system. In S. Berkovsky, F. Carmagnola, D. Heckmann, and T. Kuflik (Eds.), 7th International Workshop on Ubiquitous User Modelling (UbiqUM 2009).

Retrospective Evaluation of Blended User Modeling For Adaptive Educational Systems

Yudelson, M. and Sosnovsky, S. (2009). Retrospective Evaluation of Blended User Modeling For Adaptive Educational Systems. In S. Weibelzahl, J. Masthoff, A. Paramythis, and L. van Velsen (Eds.), 6th Workshop on User-Centered Design and Evaluation of Adaptive Systems, in conjunction with the International Conference on User Modeling, Adaptation, and Personalization (UMAP2009), (pp. 34—43).

User model integration in a distributed adaptive E-Learning system

Brusilovsky, P., Sosnovsky, S., Yudelson, M., Kumar, A., and Hsiao, S. (2008). User model integration in a distributed adaptive E-Learning system. In S. Berkovsky, F. Carmagnola, D. Heckmann, A. Krueger, and T. Kuflik (Eds.), International Workshop on User Model Integration, (pp. 1—10).

Towards integration of adaptive educational systems: mapping domain models to ontologies

Sosnovsky, S., Mitrovic, A., Lee, D. H., Brusilovsky, P., Yudelson, M., Brusilovsky, V., and Sharma, D. (2007). Towards integration of adaptive educational systems: mapping domain models to ontologies. In N. Capuano, D. Dicheva, A. Harrer, and R. Mizoguchi (Eds.), 5th International Workshop on Ontologies and Semantic Web for E-Learning (SWEL'2007).

Community-oriented course authoring to support topic-based student modeling

Sosnovsky, S., Yudelson, M., and Brusilovsky, P. (2007). Community-oriented course authoring to support topic-based student modeling. In N. Capuano, D. Dicheva, A. Harrer, and R. Mizoguchi (Eds.), 5th International Workshop on Ontologies and Semantic Web for E-Learning (SWEL'2007), (pp. 91—100).

Mining student learning data to develop high level pedagogic strategy in a medical ITS

Yudelson, M., Medvedeva, O., Legowski, E., Castine, M., Jukic, D., and Crowley, R. S. (2007). Mining student learning data to develop high level pedagogic strategy in a medical ITS. In C. Heiner, N. Heffernan, and T. Barnes (Eds.), Workshop on Educational Data Mining, (pp. 82—90).

Applying adaptive hypermedia services for e-learning

Brusilovsky, P., Sosnovsky, S., and Yudelson, M. (2004). Applying adaptive hypermedia services for e-learning. In Workshop on Applying Adaptive Hypermedia Techniques to Service Oriented Environments: Pervasive Adaptive Web Services and Context Aware Computing, (pp. 470—472).

Supporting adaptive hypermedia authors with automated content indexing

Sosnovsky, S., Brusilovsky, P., and Yudelson, M. (2004). Supporting adaptive hypermedia authors with automated content indexing. In 2nd Workshop on Authoring Adaptive and Adaptable Educational Hypermedia, (pp. 380—389).

Towards Integrating Human and Automated Tutoring Systems

Ritter, S., Yudelson, M., Fancsali, s., and Berman, S.R. (2016) Towards Integrating Human and Automated Tutoring Systems. In: T. Barnes, M. Chi, and M. Feng (Eds.) Proceedings of 9th International Conference on Educational Data Mining (EDM 2016), Raleigh, NC, USA, June 29-July 2-17, 2016, (626—627).  PDF

Preliminary Results On Dialogue Act and Subact Classification in Chat-based Online Tutorial Dialogues

Rus, V., Banjade, R., Maharjan, N., Morrison, D.M., Ritter, S., and Yudelson, M.(2016) Preliminary Results On Dialogue Act and Subact Classification in Chat-based Online Tutorial Dialogues. In: T. Barnes, M. Chi, and M. Feng (Eds.) Proceedings of 9th International Conference on Educational Data Mining (EDM 2016), Raleigh, NC, USA, June 29-July 2-17, 2016, (630—631).  PDF

Towards Identifying Students’ Causal Reasoning Using Machine Learning

Clarke-Midura, J., Yudelson, M. (2013) Towards Identifying Students’ Causal Reasoning Using Machine Learning. In: Lane, H.C., and Yacef, K., Mostow, J., Pavlik, P.I. (eds.) Proceedings of 16th International Conference on Artificial Intelligence in Education (AIED 2013), Memphis, TN. LNCS vol. 7926, (pp. 704—707). Springer-Verlag Berlin Heidelberg (2013).  DOI

Estimating the benefits of student model improvements on a substantive scale

Yudelson, M., Koedinger, K.R. (2013) Estimating the benefits of student model improvements on a substantive scale. In D'Mello, S.K., Calvo, R.A., Olney, A. (Eds.) Proceedings of the 6th International Conference on Educational Data Mining (EDM 2013), (pp. 358—359).  PDF

Towards Better Understanding of Transfer in Cognitive Models of Practice

Yudelson, M., Pavlik, P.I., Koedinger, K.R. (2011). Towards Better Understanding of Transfer in Cognitive Models of Practice. In 4rd International Conference on Educational Data Mining (EDM 2011), (pp.373—374).  PDF

Towards Incorporating Confidence Measure Into User Modeling

Yudelson, M., Brusilovsky, P., Mitrovic, A., and Mathews, M. (2010). Towards Incorporating Confidence Measure Into User Modeling. In Bohnert, F. and Quiroga, L. (Eds.), Adjunct Proceedings of the 18th International Conference on User Modeling, Adaptation, and Personalization (UMAP 2010), (pp.40–42) [PDF]

Providing social navigation within annotated examples

Yudelson, M. and Goreva, N. (2008). Providing social navigation within annotated examples. In P. Brusilovsky and H. C. Davis (Eds.), 19th ACM Conference on Hypertext and Hypermedia (Hypertext 2008), (pp. 255—256).  DOI

Towards User Modeling Meta-ontology

Yudelson, M., Gavrilova, T., and Brusilovsky, P. (2005). Towards User Modeling Meta-ontology. In L. Ardissono, P. Brna, and A. Mitrovic (Eds.), User Modeling, (pp. 448—452).  DOI

Deep knowledge tracing with transformers

HMM

Pu Shi, Michael Yudelson, Lu Ou, & Yuchi Huang (2019) Deep knowledge tracing with transformers. U.S. Patent No. 11631338.  PDF

Systems and methods for interactive dynamic learning diagnostics and feedback

Alina Von Davier, Stephen Polyak, Kurt Peterschmidt, Pravin Chopade, Michael Yudelson, Jimmy De La Torre, & Pamela Paek. (2019) Systems and methods for interactive dynamic learning diagnostics and feedback. U.S. Patent Application No. 15/802,404.  PDF

Инструментальная среда разработки программ дистанционного обучения ГИПЕРТЕСТ

Пантелеев Е.Р., Малков И.В., Пекунов В.В., Первовский М.А., Ковшова И.А., Юдельсон М.В. Инструментальная среда разработки программ дистанционного обучения ГИПЕРТЕСТ. Свидетельство об официальной регистрации программы для ЭВМ №2001611279. © М.: РОСПАТЕНТ, 2001