2018-07-26T15:17:10Z

Cskamil:

Program Construction Examples (PCEX) is an interactive learning tool which demonstrates program construction examples to help students to develop program construction skills. It supports exploring the program construction examples freely and provide challenges to the students to help them self-assess their learning of program construction knowledge. Each ''example'' provides a goal that specify the given example’s functionality. Each ''challenge'' is designed closely to the examples provided with faded lines. Students need to drag-drop provided sample lines to complete a program to accomplish the provided program goal.

== PCEX Interface ==
The first screenshot is from an example in PCEX about celsius to fahrenheit conversion with interactive explanation of the selected line (highlighted in yellow)
[[Image:Pcex_ex.PNG|600px]]

The second screenshot is from an challenge in PCEX which is the ‘challenge’ of the previously shown example. Here the goal of the program is to complete the program which converts fahrenheit to celsius. The student made a mistake in one of the missing lines.
[[Image:Pcex_ch.PNG|600px]]

== Available Domains ==
PCEX smart content is available to be used with Java and Python programming languages.

PCEX

2018-07-26T15:15:23Z

Cskamil:

PCEX

2018-07-26T14:57:33Z

Cskamil:

File:Pcex ch.PNG

2018-07-26T14:57:01Z

Cskamil: Program Construction Examples interface for challenges

Program Construction Examples interface for challenges

PCEX

2018-07-26T14:54:48Z

Cskamil:

PCEX

2018-07-26T14:54:31Z

Cskamil:

2018-07-25T16:45:12Z

Cskamil: /* Open Social Learner Model Interface: Mastery Grids */

== Overview ==

The goal of this project is to leverage the power of [[open social learner modeling]] and [[adaptive navigation support]] in the context of the envisioned Personalized Assistant for Learning (PAL). The project is supported by the [http://adlnet.gov Advanced Distributed Learning Initiative] contract W911QY13C0032. This is a joint project with [http://cs.aalto.fi/en/research/ Learning + Technology] research group at Aalto University. The LeTech group at Aalto University focuses on developing several kinds of [http://acos.cs.hut.fi/ smart learning content for Java and Python programming] that are compatible with the project architecture [[Aggregate]].

The project focuses on both exploration and implementation of adaptive navigation support and open social learner modeling and pursues three directions of work:

* Exploring open social learner modeling interface for diverse learning content
* Enhancing algorithms for personalized guidance using knowledge-based and social approaches
* Developing architectural solutions and authoring tools to support open social learner modeling

We have prepared fliers for quickly getting to know our systems:
* For researchers or system developers (designers), please check [[Media:MGFlier.pdf|here]].
* For teachers or educators, please check the flier for your interested domain: [[Media:MasteryGridsFlierJava.pdf|Java]], [[Media:MasteryGridsFlierPythonNew.pdf|Python]], or [[Media:MasteryGridsFlierSQL.pdf|SQL]].

== Open Social Learner Model Interface: Mastery Grids ==

{|
|valign="top" | [[Image:Mg_1.png|thumb|left|'''100'''|Mastery Grids Interface]]
|valign="top" | Mastery Grids is a flexible portal to access multiple types of learning content through a personalized interface based on Open Social Learner Modeling (OSLM) [[Mastery Grids Interface]]. It offers a multi-facet social comparison, open learner modeling, and adaptive navigation support to help students access multiple kinds of smart learning content. With Mastery Grids, instructors could re-use one of the existing installations (see below) or create their own installations by organizing their courses info a sequence of topics and selecting most relevant smart content items of multiple types for each topic. There is a drag-and-drop authoring system to support instructors in creating their own courses.

Mastery Grids is based on communication-based personalization infrastructure ADAPT2 (formerly Knowledge Tree) and supported by adaptive social learning framework [[Aggregate]]. ADAPT2 supports smart content invocation with single sign-on, extensive data collection, and student modeling. Aggregate adds several kinds of open student modeling, social comparison, and recommendation. In detail, Mastery Grids presents and compares user learning progress and knowledge level using colored grids, tracks user activities with learning content, and provides flexible user-centered navigation across different content levels (e.g. topic, question) and different content types (e.g. problem, example)

* [[Mastery Grids Interface|More about Mastery Grids interface]]
* [https://www.youtube.com/watch?v=76YLR2VY2QE YouTube demo of Mastery Grids interface]
* [http://adapt2.sis.pitt.edu/um-vis-adl/index.html?usr=adl01&grp=ADL&sid=test&cid=13&data-top-n-grp=5&def-val-rep-lvl-id=p&def-val-res-id=AVG&ui-tbar-rep-lvl-vis=0&ui-tbar-topic-size-vis=0 An interactive demo of Mastery Grids interface]
|}

== Architecture: Aggregate==
{|
|valign="top" | [[Image:arch_v2.png|thumb|left|'''100'''|Aggregate Architecture]]
|valign="top" | We developed an adaptive social learning architecture [[Aggregate]] to support Mastery Grids interface. [[Aggregate]] is an extension of our original [[ADAPT2]] architecture. On the top of [[ADAPT2]] , [[Aggregate]] architecture supports several kinds of open student modeling, social comparison, content brokering, and recommendation services. The architecture fulfills a major objective, portability, which is the ability to be integrated to other systems with little set up and modification. The architecture is modular and includes different software components.

* [[ADAPT2| More about ADAPT2]]
* [[Aggregate| More about Aggregate]]
|}

== Learner Modeling ==
{|
|valign="top" | [[Image:CUMULATE.evidence propagation.png|thumb|left|'''100'''|CUMULATE]]
|valign="center" | We have developed [[CUMULATE]], a centralized user modeling server built for the [[ADAPT2]] architecture, to provide user modeling support for adaptive educational hypermedia (AEH) systems. CUMULATE allows flexible learner models to infer learner knowledge. Mastery Grids's architecture is supported by CUMULATE and thus it also supports flexible learner models. The explanation of the communication between the interface and learner model can be found in [[Aggregate]]. We have proposed and implemented different learner models over past years, including [[CUMULATE asymptotic knowledge assessment|asymptotic assessment of user knowledge]] which is the main one currently deployed in our systems, and [[Feature-Aware Student knowledge Tracing (FAST)|Feature-Aware Student knowledge Tracing (FAST)]] which is our new learner model proposed in 2014 with state-of-the-art predictive performance. We have also explored different aspects to improve learner modeling, including reducing the content model, better evaluation for practitioners and applying network (graph) analysis.

* [[Learner Modeling|More about Learner Modeling]]
* [[CUMULATE|More about CUMULATE]]
* [[CUMULATE asymptotic knowledge assessment|More about asymptotic assessment of user knowledge]]
* [[Feature-Aware Student knowledge Tracing (FAST)|More about Feature-Aware Student knowledge Tracing (FAST)]]
|}

== Recommendation ==
{|
|valign="top" | [[Image:starRecommendation.png|thumb|left|'''100'''|Personalization]]
|valign="top" | There are multiple personalization approaches, that are developed and researched in our system. In the form of recommendations, we have various methods in different levels for recommending learning material to students. Two major approached for recommending resources are reactive and proactive recommendations. In the reactive approach, the recommender system activates in reaction to the student's activity, e.g. if the student fails in solving a quiz, the reactive recommender system recommends related examples to this student to help her understand the skills required to solve that quiz. The pro-active recommender system, proactively suggests learning materials to the students. [[Learning Recommendation|==> more]]

|}

== Educational Data Mining ==
{|
|valign="top" | [[Image:TensorFactorization.png|thumb|left|'''100'''|Educational Data Mining]]
|valign="top" | In this part of the project, we aim to make sense of data from Mastery Grids system, including logs of student attempts. The goal in this part includes understanding students' learning patterns and its relationship with students' behavioral traits, predicting students' performance, modeling student knowledge, and discovering the content model. These tasks eventually help us in providing a better service to both instructors and students. [[Educational Data Mining|==> more]]

|}

== Smart Content ==
{|
|valign="top" | [[Image:AnimatedExamples.jpg|thumb|left|'''100'''|Smart Content (Animated Examples)]]
|valign="top" | Mastery Grids supports and provides multiple types of learning materials. It has been applied in three domains (Java, SQL, and Python) as a supplementary E-learning system for undergraduate and graduate level programming and database classes since 2013. We have developed different content applications (e.g., [[QuizJET]], [[QuizPET]], [[WebEx]]) and authoring tools (e.g., [[Content Authoring Tools]], [[Course Authoring Tool]], [[Group Authoring Tool]]) for accessing and authoring such contents. In each learning domain, courses are organized by topics and different types of learning contents are arranged under each topic. Learning contents contain problems (quizzes), parson problems, annotated examples, and animated examples collected from experienced course teachers, textbooks or domain experts. [[Smart Content|==> more]]
|}

== Authoring Tools ==
{|
|valign="top" | [[Image:ExampleAuthoringModify.jpg|thumb|left|'''100'''|Annotated Example Content Authoring]]
|valign="top" | We have developed four major types of authoring tools for the project: 1) Content Authoring Tools for creating different kinds of smart learning content, 2) Course Authoring Tool for creating adaptive courses that use the content, 3) Group Authoring Tool for managing users and groups, as well as 4) the portal to access different authoring tools.

* [[Authoring Tools|More about Authoring Tools]]
* [[Content Authoring Tools|More about Content Authoring Tools]]
* [[Course Authoring Tool|More about Course Authoring Tool]]
* [[Group Authoring Tool|More about Group Authoring Tool]]
* [[Authoring Tool Portal|More about Authoring Tool Portal]]
|}

== Open Source ==
Software sources and documentations are in GitHub [https://github.com/PAWSLabUniversityOfPittsburgh PAWSLabUniversityOfPittsburgh organization], and [https://github.com/acos-server/ acos-server organization].
* The Mastery Grids Interface, back-end Aggregate and documentation can be found [https://github.com/PAWSLabUniversityOfPittsburgh/mastery-grids here].
* User model services can be found in [https://github.com/PAWSLabUniversityOfPittsburgh/AggregateUMServices here].
* QuizJET Interface, Authoring Tool, Content Brokering and documentations can be found [https://github.com/PAWSLabUniversityOfPittsburgh/quizjet here].
* QuizPET Interface, Authoring Tool, Content Brokering and documentations can be found [https://github.com/PAWSLabUniversityOfPittsburgh/quizpet here].
* Parson Problem Authoring Tool can be found [https://github.com/acos-server/acos-jsparsons-generator here].
* Annotated Examples Interface, Authoring Tool, Content Brokering and documentations can be found [https://github.com/PAWSLabUniversityOfPittsburgh/annotated-examples here].
* Animated Examples Authoring Tool can be found [https://github.com/acos-server/acos-jsvee-transpiler-python here].
* Videos User Interface, Authoring Tool, Content Brokering and documentations can be found [https://github.com/PAWSLabUniversityOfPittsburgh/educvideos here]

== Publications ==
* Gonzalez-Brenes, J. P., Huang, Y., and Brusilovsky, P. (2013) FAST: Feature-Aware Student Knowledge Tracing. In: Proceedings of NIPS 2013 Workshop on Data Driven Education, Lake Tahoe, NV, December 10, 2013, ([http://d-scholarship.pitt.edu/20353/ paper])
* Hosseini, R. and Brusilovsky, P. (2013) JavaParser: A Fine-Grain Concept Indexing Tool for Java Problems. In: Proceedings of The First Workshop on AI-supported Education for Computer Science (AIEDCS) at the 16th Annual Conference on Artificial Intelligence in Education, AIED 2013, Memphis, TN, USA, July 13, 2013, pp. 60-63. ([https://d-scholarship.pitt.edu/secure/26270/1/AIED2013-workshop-camera_ready_version.pdf paper]) ([http://www.slideshare.net/RoyaHosseini1/java-parser-a-fine-grained-indexing-tool-and-its-application presentation])
* Hosseini, R., Brusilovsky, P., and Guerra, J. (2013) Knowledge Maximizer: Concept-based Adaptive Problem Sequencing for Exam Preparation. In: Proceedings of the 16th International Conference on Artificial Intelligence in Education (AIED 2013), Memphis, USA, pp. 848-851. ([https://d-scholarship.pitt.edu/secure/26271/4/AIED2013-camera-ready-Knowledge_maximizer_.pdf paper]) ([http://www.slideshare.net/RoyaHosseini1/aied-2013 poster])
* Brusilovsky, P., Baishya, D., Hosseini, R., Guerra, J., and Liang, M. (2013) KnowledgeZoom for Java: A Concept-Based Exam Study Tool with a Zoomable Open Student Model. In: Proceedings of 2013 IEEE 13th International Conference on Advanced Learning Technologies, Beijing, China, July 15-18, 2013, pp. 275-279. ([http://dx.doi.org/10.1109/ICALT.2013.86 paper]) ([http://www.slideshare.net/RoyaHosseini1/kowledge-zoom-michelle-48735584 presentation])
* Brusilovsky, P. (2014) Addictive Links: Engaging Students through Adaptive Navigation Support and Open Social Student Modeling (Keynote talk). In: Proceedings of WWW 2014 Workshop on Web-based Education Technologies, Seoul, Korea, April 8, 2014. ([http://www.slideshare.net/pbrusilovsky/addictive-links-keynote-talk-at-www-2014-workshop presentation])
* Huang, Y., Xu, Y., and Brusilovsky, P. (2014) Doing More with Less: Student Modeling and Performance Prediction with Reduced Content Models. In: V. Dimitrova, et al. (eds.) Proceedings of 22nd Conference on User Modeling, Adaptation and Personalization (UMAP 2014), Aalborg, Denmark, July 7-11, 2014, Springer Verlag, pp. 338-349. ([http://www.slideshare.net/pbrusilovsky/umap-v1 presentation][http://link.springer.com/chapter/10.1007%2F978-3-319-08786-3_30 paper])
* Hosseini, R. and Brusilovsky, P. (2014) Example-Based Problem Solving Support Using concept Analysis of Programming Content. In: S. Trausan-Matu, K. Boyer, M. Crosby and K. Panourgia (eds.) Proceedings of 12th International Conference on Intelligent Tutoring Systems (ITS 2014), Honolulu, HI, USA, June 5-9, 2014, Springer International Publishing, pp. 683-685. ([https://d-scholarship.pitt.edu/secure/26268/1/CameraReady_ITS2014_paper.pdf paper]) ([http://www.slideshare.net/RoyaHosseini1/presentation-48735557 presentation])
* Hosseini, R., Vihavainen, A., and Brusilovsky, P. (2014) Exploring Problem Solving Paths in a Java Programming Course. In: Proceedings of Psychology of Programming Interest Group Annual Conference, PPIG 2014, Brighton, UK, June 25-27, 2014, pp. 65-76. ([https://d-scholarship.pitt.edu/secure/26272/1/PPIG_2014_camera_ready.pdf paper]) ([http://www.slideshare.net/RoyaHosseini1/ppig2014-problem-solvingpaths presentation])
* Huang, Y., González-Brenes, J. P., and Brusilovsky, P. (2014) General Features in Knowledge Tracing to Model Multiple Subskills, Temporal Item Response Theory, and Expert Knowledge. In: J. Stamper, Z. Pardos, M. Mavrikis and B. M. McLaren (eds.) Proceedings of the 7th International Conference on Educational Data Mining (EDM 2014), London, UK, July 4-7, 2014, pp. 84-91. (First two authors contributed equally. Nominated for Best Paper Award) ([http://www.slideshare.net/huangyun/fast-presentation-48711687 presentation][http://educationaldatamining.org/EDM2014/uploads/procs2014/long%20papers/84_EDM-2014-Full.pdf paper][http://www.slideshare.net/huangyun/2015edm-featureaware-student-knowledge-tracing-tutorial tutorial] [http://ml-smores.github.io/fast/ code])
* Khajah, M. M., Huang, Y., González-Brenes, J. P., Mozer, M. C., and Brusilovsky, P. (2014) Integrating Knowledge Tracing and Item Response Theory: A Tale of Two Frameworks. In: I. Cantador, M. Chi, R. Farzan and R. Jäschke (eds.) Proceedings of Workshop on Personalization Approaches in Learning Environments (PALE 2014) at the 22th International Conference on User Modeling, Adaptation, and Personalization, UMAP 2014, Aalborg, Denmark, July 11, 2014, CEUR, pp. 7-12. (First three authors contributed equally) ([http://www.slideshare.net/huangyun/pale-public-slideshare presentation][http://ceur-ws.org/Vol-1181/pale2014_paper_01.pdf paper]).
* Yudelson, M., Hosseini, R., Vihavainen, A., and Brusilovsky, P. (2014) Investigating Automated Student Modeling in a Java MOOC. In: J. Stamper, Z. Pardos, M. Mavrikis and B. M. McLaren (eds.) Proceedings of the 7th International Conference on Educational Data Mining (EDM 2014), London, UK, July 4-7, 2014, pp. 261-264. ([https://d-scholarship.pitt.edu/secure/26273/1/EDM2014YudelsonHVB_camready.pdf paper]) ([http://www.slideshare.net/RoyaHosseini1/edm2014-investigating-automated-student-modeling-in-a-java-mooc presentation])
* Sahebi, S., Huang, Y., and Brusilovsky, P. (2014) Parameterized Exercises in Java Programming: Using Knowledge Structure for Performance Prediction. In: Proceedings of The second Workshop on AI-supported Education for Computer Science (AIEDCS) at 12th International Conference on Intelligent Tutoring Systems ITS 2014, Honolulu, Hawaii, June 6 2014. ([http://d-scholarship.pitt.edu/21915/ paper])([http://www.slideshare.net/chagh/parameterized-exercises-in-java-programming-using-knowledge-structure-for-performance-prediction presentation])
* Sahebi, S., Huang, Y., and Brusilovsky, P. (2014) Predicting Student Performance in Solving Parameterized Exercises. In: S. Trausan-Matu, K. Boyer, M. Crosby and K. Panourgia (eds.) Proceedings of 12th International Conference on Intelligent Tutoring Systems (ITS 2014), Honolulu, HI, USA, June 5-9, 2014, Springer International Publishing, pp. 496-503, ([http://d-scholarship.pitt.edu/21916/ paper]) ([http://www.slideshare.net/chagh/its14-pitttemplate presentation])
* Guerra, J., Sahebi, S., Lin, Y.-R., and Brusilovsky, P. (2014) The Problem Solving Genome: Analyzing Sequential Patterns of Student Work with Parameterized Exercises. In: J. Stamper, Z. Pardos, M. Mavrikis and B. M. McLaren (eds.) Proceedings of the 7th International Conference on Educational Data Mining (EDM 2014), London, UK, July 4-7, 2014, pp. 153-160 ([http://www.slideshare.net/huangyun/guerra-the-problemsolvinggenome presentation][http://educationaldatamining.org/EDM2014/uploads/procs2014/long%20papers/153_EDM-2014-Full.pdf paper])
* Loboda, T., Guerra, J., Hosseini, R., and Brusilovsky, P. (2014) Mastery Grids: An Open Source Social Educational Progress Visualization. In: S. de Freitas, C. Rensing, P. J. Muñoz Merino and T. Ley (eds.) Proceedings of 9th European Conference on Technology Enhanced Learning (EC-TEL 2014), Graz, Austria, September 16-19, 2014 (Best paper award). ([http://link.springer.com/chapter/10.1007%2F978-3-319-11200-8_18#page-1 paper]) ([http://www.slideshare.net/pbrusilovsky/ectel2014-mg presentation])
* Brusilovsky, P., Edwards, S., Kumar, A., Malmi, L., Benotti, L., Buck, D., Ihantola, P., Prince, R., Sirkiä, T., Sosnovsky, S., Urquiza, J., Vihavainen, A., and Wollowski, M. (2014) Increasing Adoption of Smart Learning Content for Computer Science Education. In: Proceedings of Proceedings of the Working Group Reports of the 2014 on Innovation & Technology in Computer Science Education Conference, Uppsala, Sweden, ACM, pp. 31-57. ([http://dx.doi.org/10.1145/2713609.2713611 paper])
* Gonzalez-Brenes, J. P., Huang, Y. (2014) The White Method: Towards Automatic Evaluation Metrics for Adaptive Tutoring Systems. In: Proceedings of NIPS 2014 Workshop on Human Propelled Machine Learning, Montreal, Canada, December 13, 2014 ([http://d-scholarship.pitt.edu/26061/ paper])
* Huang, Y., González-Brenes, J. P., and Brusilovsky, P. (2015) The FAST toolkit for Unsupervised Learning of HMMs with Features. In: The Machine Learning Open Source Software workshop at the 32nd International Conference on Machine Learning (ICML-MLOSS 2015), Lille, France July 10, 2015. ([http://d-scholarship.pitt.edu/26043/ paper][http://mloss.org/software/view/609/ code])
* Huang, Y., González-Brenes, J. P., Kumar, R., Brusilovsky, P. (2015) A Framework for Multifaceted Evaluation of Student Models. In: Proceedings of the 8th International Conference on Educational Data Mining (EDM 2015), Madrid, Spain, pp. 203-210. ([http://www.educationaldatamining.org/EDM2015/uploads/papers/paper_164.pdf paper]) ([http://www.slideshare.net/huangyun/2015edm-a-framework-for-multifaceted-evaluation-of-student-models-polygon presentation])
* Huang, Y., González-Brenes, J. P., Brusilovsky, P. (2015) Challenges of Using Observational Data to Determine the Importance of Example Usage. In: Proceedings of the 17th International Conference on Artificial Intelligence in Education (AIED 2015), Madrid, Spain, pp. 633-637. ([http://d-scholarship.pitt.edu/26056/ paper])
* Gonzalez-Brenes, J. P., Huang, Y. (2015) Your model is predictive— but is it useful? Theoretical and Empirical Considerations of a New Paradigm for Adaptive Tutoring Evaluation. In: Proceedings of the 8th International Conference on Educational Data Mining (EDM 2015), Madrid, Spain, pp. 187-194. ([http://d-scholarship.pitt.edu/26046/ paper] [http://www.slideshare.net/huangyun/2015-edm-leopard-for-adaptive-tutoring-evaluation presentation])
* Gonzalez-Brenes, J. P., Huang, Y. The Leopard Framework: Towards understanding educational technology interventions with a Pareto Efficiency Perspective. In: The ICML 2015 Workshop on Machine Learning for Education (ICML 2015), Lille, France, 2015. ([https://dsp.rice.edu/sites/dsp.rice.edu/files/leopard_evaluation(1).pdf paper])
* Gonzalez-Brenes, J. P., Huang, Y. Using Data from Real and Simulated Learners to Evaluate Adaptive Tutoring Systems. In: 2nd AIED Workshop on Simulated Learners at the 17th Intl. Conf. on Artificial Intelligence in Education (AIED 2015), Madrid, Spain, 2015. ([http://ceur-ws.org/Vol-1432/sl_pap4.pdf paper])
* Brusilovsky, P., Somyurek, S., Guerra, J., Hosseini, R., and Zadorozhny, V. (2015) The Value of Social: Comparing Open Student Modeling and Open Social Student Modeling. In: F. Ricci, K. Bontcheva, O. Conlan and S. Lawless (eds.) Proceedings of 23nd Conference on User Modeling, Adaptation and Personalization (UMAP 2015), Dublin, Ireland, , June 29 - July 3, 2015, Springer Verlag, pp. 44-55 ([https://www.researchgate.net/publication/280805929_The_Value_of_Social_Comparing_Open_Student_Modeling_and_Open_Social_Student_Modeling paper] [http://www.slideshare.net/pbrusilovsky/umap2015-mg presentation])
* Guerra, J., Huang, Y., Hosseini, R., & Brusilovsky, P. (2015, June). Graph Analysis of Student Model Networks. In Proceedings of the Second International Workshop on Graph-Based Educational Data Mining (GEDM 2015). CEUR-WS. ([https://d-scholarship.pitt.edu/secure/25933/1/graph_analysis.pdf paper]) ([http://www.slideshare.net/mallium/graph-analysis-of-student-model-networks presentation])
* Guerra, J., Huang, Y., Hosseini, R., & Brusilovsky, P. Exploring the Effects of Open Social Student Model Beyond Social Comparison. In ISLG 2015 Fourth Workshop on Intelligent Support for Learning in Groups (p. 19). ([https://d-scholarship.pitt.edu/secure/25931/1/islg_pap4.pdf paper]) ([http://www.slideshare.net/mallium/exploring-the-effects-of-open-social-student-model-beyond-social-comparison poster])
* Hosseini, R., Hsiao, I.-H., Guerra, J., Brusilovsky, P. (2015) Off the Beaten Path: The Impact of Adaptive Content Sequencing on Student Navigation in an Open Social Student Modeling Interface. In: Proceedings of the 17th International Conference on Artificial Intelligence in Education (AIED 2015), Madrid, Spain, pp. 624-628. ([https://d-scholarship.pitt.edu/secure/25938/1/paper_183.pdf paper]) ([http://www.slideshare.net/RoyaHosseini1/aied-2015-poster-off-the-beaten-path-the-impact-of-adaptive-content-sequencing-on-student-navigation-in-an-open-social-student-modeling-interface poster])
* Hosseini, R., Hsiao, I.-H., Guerra, J., Brusilovsky, P. (2015) What Should I Do Next? Adaptive Sequencing in the Context of Open Social Student Modeling. Proceedings of 10th European Conference on Technology Enhanced Learning (EC-TEL 2015), Toledo, Spain, September 15-18, 2015, pp. 155-168. ([http://d-scholarship.pitt.edu/26266/1/camera_ready.pdf paper])([http://www.slideshare.net/RoyaHosseini1/ectel-2015 presentation]).
* Somyürek, S. & Brusilovsky, P. (2015). Impact of Open Social Student Modeling on Self-Assessment of Performance. Proceedings of World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 2009 (E-Learn 2015). Kona, Hawaii, United States, October 19-22, 2015
* Hosseini, R., Sirkiä, T., Guerra, J., Brusilovsky, P., Malmi, L. (2016) Animated Examples as Practice Content in a Java Programming Course. Proceedings of the 47th ACM technical symposium on Computer Science Education (SIGCSE), Memphis, Tennessee, March 2-5, 2016. ([http://d-scholarship.pitt.edu/28928/1/sigcse2016.pdf paper]) ([http://www.slideshare.net/RoyaHosseini1/sigcse-2016 presentation])
* Guerra, J., Hosseini, R., Somyurek, S., and Brusilovsky, P. (2016) An Intelligent Interface for Learning Content: Combining an Open Learner Model and Social Comparison to Support Self-Regulated Learning and Engagement. In: Proceedings of Proceedings of the 21st International Conference on Intelligent User Interfaces (IUI '16), Sonoma, California, USA, ACM, pp. 152-163. ([https://d-scholarship.pitt.edu/secure/27083/1/sigcse2016.pdf paper]) ([http://www.slideshare.net/RoyaHosseini1/sigcse-2016 presentation])
* Brusilovsky, P., Somyurek, S., Guerra, J., Hosseini, R., Zadorozhny, V., and Durlach, P. (2016) The Value of Social: Comparing Open Student Modeling and Open Social Student Modeling. IEEE Transactions on Emerging Topics in Computing 4 (3), 450-461. ([https://www.computer.org/csdl/trans/ec/2016/03/07359179.pdf paper])

People

2018-07-10T19:34:24Z

Cskamil: /* Past Visiting Scholars */

== Faculty ==
<gallery>
Image:Peter.jpg|'''[[User:Peterb | Peter Brusilovsky]]''' Director
</gallery>

== Doctoral Students ==
<gallery perrow="4">
Image:Roya.jpg|[[User:R.hosseini | Roya Hosseini]]
Image:yunhuang.png|[[User:Yuh43| Yun Huang]]
Image:Tsai.jpg|[http://www.cht77.com/ Chun-Hua Tsai]
Image:Avatar.jpg|[http://pitt.edu/~hkc6 Hung Chau]
Image:Jordan.jpeg|[http://pitt.edu/~jab464 Jordan Barria-Pineda]
Image:Kamil.jpg|[http://pitt.edu/~kaa108 Kamil Akhuseyinoglu]
</gallery>

== Visiting Scholars ==
<gallery perrow="4">

</gallery>

== Past Doctoral Students ==
<gallery perrow="4">
Image:Julio.jpg|[[User:Julio | Julio Guerra]]
Image:xidao.jpg|[[User:Xidao| Xidao Wen]]
Image:Shaghayeghsahebi.jpg|[[User:Sherry | Shaghayegh Sahebi (Sherry)]] Currently Assistant Professor in the Computer Science Department at State University of New York (SUNY) at Albany
Image:Clau.JPG|[[User:Clau | Claudia López]] Currently Assistant Professor in the Departamento de Informática, Universidad Técnica Federico Santa María, Chile
Image:Kong.png|[[User:Chirayu | Chirayu Wongchokprasitti]] Currently at the Department of Biomedical Informatics, University of Pittsburgh
Image:jennifer.jpg|[[User:Jennifer | Jennifer (Yiling) Lin]] Currently Assistant Professor in the department of Information Management at the National Sun Yat-Sen University.
Image:Denis_PAWS_blog.jpg|[[User:Dparra | Denis Parra]] Currently Assistant Professor at the Computer Science Department, School of Engineering at PUC Chile.
Image:jaewook-1.jpg|[[User:Jahn | Jae-wook Ahn]] Projects: [[ADVISE]], [[Adaptive VIBE]], [[YourNews]], [[YourSports]], [[TaskSieve]], [[NameSieve]] Research Staff Member, Cognitive Sciences and Education,IBM Research
Image:RostaFarzan.jpg|[[User:Rostaf | Rosta Farzan]] Currently Assistant Professor at School of Computing and Information, University of Pittsburgh.
Image:Michael_V_Yudelson.gif|'''[[User:Myudelson | Michael V. Yudelson]]''' Projects: [[Knowledge Tree]], [[CUMULATE]], [[PERSEUS]], [[NavEx]], [[CoPE]], [[WebEx]] Currently Postdoctoral Fellow at Carnegie Mellon University
Image:Sergey.jpg|[[User:Sergey | Sergey Sosnovsky]] Currently Assistant Professor at Utrecht University (the Netherlands)
Image:Hsiao.jpg|[[User:Shoha99 | Sharon (I-Han) Hsiao]] Projects: [[AnnotEx]], [[QuizJET]], [[Progressor]], [[ProgressorPlus]] Currently Assistant Professor @ CIDSE, Arizona State University
Image:Danielle.gif|[[User:Suleehs | Danielle H. Lee]] Projects: [[Eventur]], [[Proactive]] Currently Assistant Professor at the Department of Software, Sangmyung University, Korea
</gallery>

== Past Visiting Faculty ==
<gallery perrow="4">
Image:Susan_bull.png|[https://www.researchgate.net/profile/Susan_Bull2 Susan Bull]
Image:Jaakko peltonen 215x296.jpg|[http://users.ics.aalto.fi/jtpelto// Jaakko Peltonen]
Image:IMG_0611.JPG|[http://www.dcs.warwick.ac.uk/~acristea/ Alexandra I. Cristea]
Image:Sibel.jpg|[http://sibelsomyurek.com/ Sibel Somyürek]
Image:KatrienVerbert.jpg|[http://people.cs.kuleuven.be/~katrien.verbert/KatrienVerbert/Katrien_Verbert.html Katrien Verbert]
Image:Roman bednarik.png|[http://cs.uef.fi/~rbednari/ Roman Bednarik]
Image:TanjaMitrovic.jpg|[http://www.cosc.canterbury.ac.nz/tanja.mitrovic/ Tanja Mitrovic]
Image:Eva millan.gif|[http://www.lcc.uma.es/~eva/ Eva Millán Valldeperas]
Image:Julita vasilleva.gif|[http://www.cs.usask.ca/faculty/julita/ Julita Vassileva]
Image:NicolaHenze.gif|[http://www.kbs.uni-hannover.de/~henze/ Nicola Henze]

</gallery>

== Past Master Students ==
<gallery perrow="4">
Image:Vikrant Khenat.jpg|[http://www.sis.pitt.edu/~vkhenat/ Vikrant Khenat]
Image:Tibor Dumitriu.gif|[http://www.sis.pitt.edu/~dumitriu/ Tibor Dumitriu] Projects: [http://ir.exp.sis.pitt.edu/advise/ AdVisE]
</gallery>

== Past Visiting Scholars ==
<gallery perrow="4">
Image:huhtamaki-jukka-300.jpg|[http://www.linkedin.com/in/jukkahuhtamaki Jukka Huhtamäki] Postdoc Researcher, DSc (Tech), University of Tampere
Image:Andrew.jpg|Shuchen Li (Andrew) From Beijing University of Posts and Telecommunications
Image:Rafael.png|[https://rafaelrda.wordpress.com Rafael Dias Araújo]
Image:Liping_wang.jpg|Liping Wang From JiLin University
Image:Ayca cebi.jpg|[https://ktu.academia.edu/aycacebi Ayça ÇEBİ] From Karadeniz Technical University
Image:File crop1 1183908 y 384.jpg|[https://people.aalto.fi/index.html?profilepage=isfor#!teemu_sirkia Teemu Sirkiä]
Image:Michelle_liang.JPG|[http://www.tcs.fudan.edu.cn/~michelle/index.html Michelle Liang]
Image:Pkraker.jpg|[http://science20.wordpress.com Peter Kraker] Marshall Plan Scholar
Image:Kim.jpg|Jaekyung Kim
Image:Jbravo.gif|[http://www.eps.uam.es/esp/personal/ficha.php?empid=367 Javier Bravo Agapito]
Image:MarkusKetterl1.jpg|[http://studip.serv.uni-osnabrueck.de/extern.php?username=mketterl&page_url=http://www.virtuos.uni-osnabrueck.de/VirtUOS/TemplStudipMitarbDetails&global_id=4c8fb9ddd4dde83366119b2031d39ab3 Markus Ketterl]
Image:Jillfreyne.jpg|[http://www.csi.ucd.ie/users/jill-freyne Jill Freyne]
Image:Robert.jpg|Robert Mertens
Image:Roman bednarik.png|[http://www.cs.joensuu.fi/~rbednari/ Roman bednarik]
Image:Ewald ramp.jpg|Ewald W. A. Ramp
Image:Jacopo.jpg|Jacopo Armani
Image:Yetunde.JPG|Yetunde Folajimi
Image:Chris_face.jpg|[http://www.austria-lexikon.at/af/User/Trattner%20Christoph Christof Trattner]
</gallery>

People

2018-07-10T19:31:11Z

Cskamil: /* Past Visiting Scholars */

== Faculty ==
<gallery>
Image:Peter.jpg|'''[[User:Peterb | Peter Brusilovsky]]''' Director
</gallery>

== Doctoral Students ==
<gallery perrow="4">
Image:Roya.jpg|[[User:R.hosseini | Roya Hosseini]]
Image:yunhuang.png|[[User:Yuh43| Yun Huang]]
Image:Tsai.jpg|[http://www.cht77.com/ Chun-Hua Tsai]
Image:Avatar.jpg|[http://pitt.edu/~hkc6 Hung Chau]
Image:Jordan.jpeg|[http://pitt.edu/~jab464 Jordan Barria-Pineda]
Image:Kamil.jpg|[http://pitt.edu/~kaa108 Kamil Akhuseyinoglu]
</gallery>

== Visiting Scholars ==
<gallery perrow="4">

</gallery>

== Past Doctoral Students ==
<gallery perrow="4">
Image:Julio.jpg|[[User:Julio | Julio Guerra]]
Image:xidao.jpg|[[User:Xidao| Xidao Wen]]
Image:Shaghayeghsahebi.jpg|[[User:Sherry | Shaghayegh Sahebi (Sherry)]] Currently Assistant Professor in the Computer Science Department at State University of New York (SUNY) at Albany
Image:Clau.JPG|[[User:Clau | Claudia López]] Currently Assistant Professor in the Departamento de Informática, Universidad Técnica Federico Santa María, Chile
Image:Kong.png|[[User:Chirayu | Chirayu Wongchokprasitti]] Currently at the Department of Biomedical Informatics, University of Pittsburgh
Image:jennifer.jpg|[[User:Jennifer | Jennifer (Yiling) Lin]] Currently Assistant Professor in the department of Information Management at the National Sun Yat-Sen University.
Image:Denis_PAWS_blog.jpg|[[User:Dparra | Denis Parra]] Currently Assistant Professor at the Computer Science Department, School of Engineering at PUC Chile.
Image:jaewook-1.jpg|[[User:Jahn | Jae-wook Ahn]] Projects: [[ADVISE]], [[Adaptive VIBE]], [[YourNews]], [[YourSports]], [[TaskSieve]], [[NameSieve]] Research Staff Member, Cognitive Sciences and Education,IBM Research
Image:RostaFarzan.jpg|[[User:Rostaf | Rosta Farzan]] Currently Assistant Professor at School of Computing and Information, University of Pittsburgh.
Image:Michael_V_Yudelson.gif|'''[[User:Myudelson | Michael V. Yudelson]]''' Projects: [[Knowledge Tree]], [[CUMULATE]], [[PERSEUS]], [[NavEx]], [[CoPE]], [[WebEx]] Currently Postdoctoral Fellow at Carnegie Mellon University
Image:Sergey.jpg|[[User:Sergey | Sergey Sosnovsky]] Currently Assistant Professor at Utrecht University (the Netherlands)
Image:Hsiao.jpg|[[User:Shoha99 | Sharon (I-Han) Hsiao]] Projects: [[AnnotEx]], [[QuizJET]], [[Progressor]], [[ProgressorPlus]] Currently Assistant Professor @ CIDSE, Arizona State University
Image:Danielle.gif|[[User:Suleehs | Danielle H. Lee]] Projects: [[Eventur]], [[Proactive]] Currently Assistant Professor at the Department of Software, Sangmyung University, Korea
</gallery>

== Past Visiting Faculty ==
<gallery perrow="4">
Image:Susan_bull.png|[https://www.researchgate.net/profile/Susan_Bull2 Susan Bull]
Image:Jaakko peltonen 215x296.jpg|[http://users.ics.aalto.fi/jtpelto// Jaakko Peltonen]
Image:IMG_0611.JPG|[http://www.dcs.warwick.ac.uk/~acristea/ Alexandra I. Cristea]
Image:Sibel.jpg|[http://sibelsomyurek.com/ Sibel Somyürek]
Image:KatrienVerbert.jpg|[http://people.cs.kuleuven.be/~katrien.verbert/KatrienVerbert/Katrien_Verbert.html Katrien Verbert]
Image:Roman bednarik.png|[http://cs.uef.fi/~rbednari/ Roman Bednarik]
Image:TanjaMitrovic.jpg|[http://www.cosc.canterbury.ac.nz/tanja.mitrovic/ Tanja Mitrovic]
Image:Eva millan.gif|[http://www.lcc.uma.es/~eva/ Eva Millán Valldeperas]
Image:Julita vasilleva.gif|[http://www.cs.usask.ca/faculty/julita/ Julita Vassileva]
Image:NicolaHenze.gif|[http://www.kbs.uni-hannover.de/~henze/ Nicola Henze]

</gallery>

== Past Master Students ==
<gallery perrow="4">
Image:Vikrant Khenat.jpg|[http://www.sis.pitt.edu/~vkhenat/ Vikrant Khenat]
Image:Tibor Dumitriu.gif|[http://www.sis.pitt.edu/~dumitriu/ Tibor Dumitriu] Projects: [http://ir.exp.sis.pitt.edu/advise/ AdVisE]
</gallery>

== Past Visiting Scholars ==
<gallery perrow="4">
Image:huhtamaki-jukka-300.jpg|Jukka Huhtamäki[http://www.linkedin.com/in/jukkahuhtamaki] Postdoc Researcher, DSc (Tech), University of Tampere
Image:Andrew.jpg|Shuchen Li (Andrew) From Beijing University of Posts and Telecommunications
Image:Rafael.png|[https://rafaelrda.wordpress.com Rafael Dias Araújo]
Image:Liping_wang.jpg|Liping Wang From JiLin University
Image:Ayca cebi.jpg|[https://ktu.academia.edu/aycacebi Ayça ÇEBİ] From Karadeniz Technical University
Image:File crop1 1183908 y 384.jpg|[https://people.aalto.fi/index.html?profilepage=isfor#!teemu_sirkia Teemu Sirkiä]
Image:Michelle_liang.JPG|[http://www.tcs.fudan.edu.cn/~michelle/index.html Michelle Liang]
Image:Pkraker.jpg|[http://science20.wordpress.com Peter Kraker] Marshall Plan Scholar
Image:Kim.jpg|Jaekyung Kim
Image:Jbravo.gif|[http://www.eps.uam.es/esp/personal/ficha.php?empid=367 Javier Bravo Agapito]
Image:MarkusKetterl1.jpg|[http://studip.serv.uni-osnabrueck.de/extern.php?username=mketterl&page_url=http://www.virtuos.uni-osnabrueck.de/VirtUOS/TemplStudipMitarbDetails&global_id=4c8fb9ddd4dde83366119b2031d39ab3 Markus Ketterl]
Image:Jillfreyne.jpg|[http://www.csi.ucd.ie/users/jill-freyne Jill Freyne]
Image:Robert.jpg|Robert Mertens
Image:Roman bednarik.png|[http://www.cs.joensuu.fi/~rbednari/ Roman bednarik]
Image:Ewald ramp.jpg|Ewald W. A. Ramp
Image:Jacopo.jpg|Jacopo Armani
Image:Yetunde.JPG|Yetunde Folajimi
Image:Chris_face.jpg|[http://www.austria-lexikon.at/af/User/Trattner%20Christoph Christof Trattner]
</gallery>