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Jordan Barria-Pineda

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Journal Articles

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2022
[j2]
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Laia Albó, Jordan Barria-Pineda, Peter Brusilovsky, Davinia Hernández-Leo:
Knowledge-Based Design Analytics for Authoring Courses with Smart Learning Content. Int. J. Artif. Intell. Educ. 32(1): 4-27 (2022)
2018
[j1]
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Julio Guerra, Christian D. Schunn, Susan Bull, Jordan Barria-Pineda, Peter Brusilovsky:
Navigation support in complex open learner models: assessing visual design alternatives. New Rev. Hypermedia Multim. 24(3): 160-192 (2018)

Conference and Workshop Papers

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2024
[c28]
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Rully Agus Hendrawan, Peter Brusilovsky, Arun Balajiee Lekshmi Narayanan, Jordan Barria-Pineda:
Explanations in Open User Models for Personalized Information Exploration. UMAP (Adjunct Publication) 2024
2023
[c27]
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Arun Balajiee Lekshmi Narayanan, Khushboo Thaker, Peter Brusilovsky, Jordan Barria-Pineda:
Help Me Read! Expanding Students' Reading with Wikipedia Articles. EDM 2023
[c26]
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Jordan Barria-Pineda, Kamil Akhuseyinoglu, Peter Brusilovsky:
Adaptive Navigational Support and Explainable Recommendations in a Personalized Programming Practice System. HT 2023: 29:1-29:9
2022
[c25]
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Jordan Barria-Pineda, Arun Balajiee Lekshmi Narayanan, Peter Brusilovsky:
Augmenting Digital Textbooks with Reusable Smart Learning Content: Solutions and Challenges. iTextbooks@AIED 2022: 77-91
[c24]
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Alireza Javadian Sabet, Isaac Alpizar Chacon, Jordan Barria-Pineda, Peter Brusilovsky, Sergey A. Sosnovsky:
Enriching Intelligent Textbooks with Interactivity: When Smart Content Allocation Goes Wrong. iTextbooks@AIED 2022: 92-104
[c23]
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Kamil Akhuseyinoglu, Ryan Hardt, Jordan Barria-Pineda, Peter Brusilovsky, Kerttu Pollari-Malmi, Teemu Sirkiä, Lauri Malmi:
A Study of Worked Examples for SQL Programming. ITiCSE (1) 2022: 82-88
2021
[c22]
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Isaac Alpizar Chacon, Jordan Barria-Pineda, Kamil Akhuseyinoglu, Sergey A. Sosnovsky, Peter Brusilovsky:
Integrating Textbooks with Smart Interactive Content for Learning Programming. iTextbooks@AIED 2021: 4-18
[c21]
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Jordan Barria-Pineda, Kamil Akhuseyinoglu, Stefan Zelem-Celap, Peter Brusilovsky, Aleksandra Klasnja-Milicevic, Mirjana Ivanovic:
Explainable Recommendations in a Personalized Programming Practice System. AIED (1) 2021: 64-76
[c20]
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Zak Risha, Jordan Barria-Pineda, Kamil Akhuseyinoglu, Peter Brusilovsky:
Stepwise Help and Scaffolding for Java Code Tracing Problems With an Interactive Trace Table. Koli Calling 2021: 27:1-27:10
2020
[c19]
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Behnam Rahdari, Peter Brusilovsky, Khushboo Thaker, Jordan Barria-Pineda:
Using Knowledge Graph for Explainable Recommendation of External Content in Electronic Textbooks. iTextbooks@AIED 2020: 50-61
[c18]
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Kamil Akhuseyinoglu, Jordan Barria-Pineda, Sergey A. Sosnovsky, Anna-Lena Lamprecht, Julio Guerra, Peter Brusilovsky:
Exploring Student-Controlled Social Comparison. EC-TEL 2020: 244-258
[c17]
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Behnam Rahdari, Peter Brusilovsky, Khushboo Thaker, Jordan Barria-Pineda:
Knowledge-Driven Wikipedia Article Recommendation for Electronic Textbooks. EC-TEL 2020: 363-368
[c16]
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Cecilia di Sciascio, Eduardo E. Veas, Jordan Barria-Pineda, Colleen Culley:
Understanding the effects of control and transparency in searching as learning. IUI 2020: 498-509
[c15]
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Jordan Barria-Pineda, Kamil Akhuseyinoglu, Peter Brusilovsky, Kerttu Pollari-Malmi, Teemu Sirkiä, Lauri Malmi:
Personalized Remedial Recommendations for SQL Programming Practice System. UMAP (Adjunct Publication) 2020: 135-142
[c14]
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Jordan Barria-Pineda:
Exploring the Need for Transparency in Educational Recommender Systems. UMAP 2020: 376-379
2019
[c13]
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Jordan Barria-Pineda, Peter Brusilovsky, Daqing He:
Reading Mirror: Social Navigation and Social Comparison for Electronic Textbooks. iTextbooks@AIED 2019: 30-37
[c12]
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Laia Albó, Jordan Barria-Pineda, Peter Brusilovsky, Davinia Hernández-Leo:
Concept-Level Design Analytics for Blended Courses. EC-TEL 2019: 541-554
[c11]
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Jordan Barria-Pineda, Peter Brusilovsky:
Explaining educational recommendations through a concept-level knowledge visualization. IUI Companion 2019: 103-104
[c10]
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Jordan Barria-Pineda, Peter Brusilovsky:
Making Educational Recommendations Transparent through a Fine-Grained Open Learner Model. IUI Workshops 2019
[c9]
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Jordan Barria-Pineda, Kamil Akhuseyinoglu, Peter Brusilovsky:
Explaining Need-based Educational Recommendations Using Interactive Open Learner Models. UMAP (Adjunct Publication) 2019: 273-277
[c8]
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Xidao Wen, Yu-Ru Lin, Xi Liu, Peter Brusilovsky, Jordan Barria-Pineda:
Iterative Discriminant Tensor Factorization for Behavior Comparison in Massive Open Online Courses. WWW 2019: 2068-2079
2018
[c7]
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Hung Chau, Jordan Barria-Pineda, Peter Brusilovsky:
Learning Content Recommender System for Instructors of Programming Courses. AIED (2) 2018: 47-51
[c6]
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Hung Chau, Jordan Barria-Pineda, Peter Brusilovsky:
Course-Adaptive Content Recommender for Course Authoring. EC-TEL 2018: 437-451
[c5]
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Jordan Barria-Pineda, Julio Daniel Guerra Hollstein, Peter Brusilovsky:
A Fine-Grained Open Learner Model for an Introductory Programming Course. UMAP 2018: 53-61
2017
[c4]
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Jordan Barria-Pineda, Julio Guerra, Yun Huang, Peter Brusilovsky:
Concept-Level Knowledge Visualization For Supporting Self-Regulated Learning. IUI Companion 2017: 141-144
[c3]
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Julio Daniel Guerra Hollstein, Jordan Barria-Pineda, Christian D. Schunn, Susan Bull, Peter Brusilovsky:
Fine-Grained Open Learner Models: Complexity Versus Support. UMAP 2017: 41-49
[c2]
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Yun Huang, Julio Daniel Guerra Hollstein, Jordan Barria-Pineda, Peter Brusilovsky:
Learner Modeling for Integration Skills. UMAP 2017: 85-93
[c1]
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Hung Chau, Jordan Barria-Pineda, Peter Brusilovsky:
Content Wizard: Concept-Based Recommender System for Instructors of Programming Courses. UMAP (Adjunct Publication) 2017: 135-140

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