Works Published in 2015

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Displaying works 81 - 100 of 299 in total

Sorted by most recent date added to the index first, which may not be the same as publication date order.

2015 chapter

The Mars and Venus Effect: The Influence of User Gender on the Effectiveness of Adaptive Task Support

In Lecture Notes in Computer Science (pp. 265–276).

author keywords: Gender effects; Adaptive support; Intelligent tutoring systems; Affect; Engagement; Frustration
TL;DR: The results suggest the presence of the Mars and Venus Effect, a systematic difference in how female and male users benefit from cognitive and affective adaptive support in intelligent tutoring systems. (via Semantic Scholar)
Source: Crossref
Added: February 24, 2020

2015 chapter

Modeling Self-Efficacy Across Age Groups with Automatically Tracked Facial Expression

In Lecture Notes in Computer Science (pp. 582–585).

By: J. Grafsgaard n, S. Lee*, B. Mott n, K. Boyer n & J. Lester n

author keywords: Affect; Facial expression recognition; Nonverbal behavior; Self-efficacy; Game-based learning environments
TL;DR: Facial expressions of college and middle school students in the Crystal Island game-based learning environment were collected and models of self-efficacy for each age group highlighted differences in facial expressions. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (Web of Science; OpenAlex)
Source: Crossref
Added: February 24, 2020

2015 chapter

Improving Student Problem Solving in Narrative-Centered Learning Environments: a Modular Reinforcement Learning Framework

In Lecture Notes in Computer Science (pp. 419–428).

author keywords: Narrative-centered learning environments; Tutorial planning; Modular reinforcement learning; Game-based learning
TL;DR: The study revealed that the induced planner improved students’ problem-solving processes—including hypothesis testing and information gathering behaviors—compared to a control condition, suggesting that modular reinforcement learning is an effective approach for tutorial planning in narrative-centered learning environments. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (Web of Science; OpenAlex)
Source: Crossref
Added: February 24, 2020

2015 journal article

SDIoT: a software defined based internet of things framework

Journal of Ambient Intelligence and Humanized Computing, 6(4), 453–461.

By: Y. Jararweh*, M. Al-Ayyoub*, A. Darabseh*, E. Benkhelifa*, M. Vouk n & A. Rindos*

author keywords: Internet of things (IoT); Software defined network (SDN); Software defined systems (SDSys); Software defined storage (SDStore); Software defined security (SDSec)
TL;DR: A comprehensiveSoftware defined based framework model is proposed to simplify the IoT management process and provide a vital solution for the challenges in the traditional IoT architecture to forward, store, and secure the produced data from the IoT objects by integrating the software defined network, software defined storage, and software defined security into one software defined based control model. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Crossref
Added: February 24, 2020

2015 chapter

Diagrammatic Student Models: Modeling Student Drawing Performance with Deep Learning

In Lecture Notes in Computer Science (Vol. 9146, pp. 216–227).

By: A. Smith n, W. Min n, B. Mott n & J. Lester n

Contributors: A. Smith n, W. Min n, B. Mott n & J. Lester n

author keywords: Student modeling; Intelligent tutoring systems; Deep learning
TL;DR: The diagrammatic student modeling framework utilizes deep learning, a family of machine learning methods based on a deep neural network architecture, to reason about sequences of student drawing actions encoded with temporal and topological features. (via Semantic Scholar)
Sources: Crossref, ORCID
Added: February 19, 2020

2015 journal article

Teaching the teacher: Tutoring simstudent leads to more effective cognitive tutor authoring

International Journal of Artificial Intelligence in Education, 25(1), 1–34.

By: N. Matsuda*, W. Cohen* & K. Koedinger*

Contributors: N. Matsuda*, W. Cohen* & K. Koedinger*

author keywords: Intelligent authoring system; Machine learning; Programming by demonstration; Inductive logic programming; Cognitive tutor authoring tools; SimStudent
TL;DR: This work conducted evaluation studies to investigate which authoring strategy better facilitates authoring and found two key results. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (OpenAlex)
Source: ORCID
Added: February 11, 2020

2015 journal article

Integrating representation learning and skill learning in a human-like intelligent agent

Artificial Intelligence, 219, 67–91.

By: N. Li*, N. Matsuda*, W. Cohen* & K. Koedinger*

Contributors: N. Li*, N. Matsuda*, W. Cohen* & K. Koedinger*

author keywords: Agent learning; Representation learning; Student modeling
TL;DR: An efficient algorithm that acquires representation knowledge in the form of "deep features" reduces the requirements for knowledge engineering and is integrated into a machine-learning agent, SimStudent, which learns procedural knowledge by observing a tutor solve sample problems, and by getting feedback while actively solving problems on its own. (via Semantic Scholar)
Source: ORCID
Added: February 11, 2020

2015 book

Understanding students’ use of code-switching in a learning by teaching technology

In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9112, pp. 504–513).

author keywords: Teachable agents; Personalized learning systems; Self-explanations; Code-switching
TL;DR: This investigation in classrooms in the Philippines found significant amounts of code-switching and explored cognitive and social factors such as explanation quality and affective valence that serve as evidence for code- Switching motivations and effects. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (OpenAlex)
Source: ORCID
Added: February 11, 2020

2015 conference paper

Methods for evaluating simulated learners: Examples from SimStudent

CEUR Workshop Proceedings, 1432, 45–54. http://www.scopus.com/inward/record.url?eid=2-s2.0-84944315929&partnerID=MN8TOARS

By: K. Koedinger, N. Matsuda, C. Maclellan & E. McLaughlin

Contributors: K. Koedinger, N. Matsuda, C. Maclellan & E. McLaughlin

Source: ORCID
Added: February 11, 2020

2015 conference paper

Authoring tutors with complex solutions: A comparative analysis of Example Tracing and SimStudent

CEUR Workshop Proceedings, 1432, 35–44. http://www.scopus.com/inward/record.url?eid=2-s2.0-84944328396&partnerID=MN8TOARS

By: C. Maclellan, E. Harpstead, E. Wiese, M. Zou, N. Matsuda, V. Aleven, K. Koedinger

Contributors: C. Maclellan, E. Harpstead, E. Wiese, M. Zou, N. Matsuda, V. Aleven, K. Koedinger

Source: ORCID
Added: February 11, 2020

2015 chapter

A Stacking-Based Approach to Identify Translated Upstream Open Reading Frames in Arabidopsis Thaliana

In Bioinformatics Research and Applications (pp. 138–149).

author keywords: uORF; Translation; Ribosome footprinting; Stacking; Classification; Arabidopsis thaliana
TL;DR: This paper uses ribosome footprinting together with a stacking-based classification approach to identify translated uORFs in Arabidopsis thaliana, resulting in a set of 5360 potentially translated u ORFs in 2051 genes. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (OpenAlex)
Source: Crossref
Added: January 27, 2020

2015 conference paper

Integrating Intelligent Feedback into Block Programming Environments

Proceedings of the Eleventh Annual International Conference on International Computing Education Research, 275–276.

By: T. Price n

Event: at New York, NY, USA

TL;DR: This research focuses on the integration of this data-driven, ITS-style feedback into a modern BPE and the evaluation of its impact. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (OpenAlex)
Source: ORCID
Added: January 22, 2020

2015 conference paper

Comparing Textual and Block Interfaces in a Novice Programming Environment

Proceedings of the eleventh annual International Conference on International Computing Education Research - ICER '15, 91–99.

By: T. Price n & T. Barnes n

Event: the eleventh annual International Conference at New York, NY, USA

TL;DR: It is found that while the interface did not seem to affect users' attitudes or perceived difficulty, students using the block interface spent less time off task and completed more of the activity's goals in less time. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (OpenAlex)
Sources: ORCID, Crossref
Added: January 19, 2020

2015 conference paper

Exploring networks of problem-solving interactions

Proceedings of the Fifth International Conference on Learning Analytics And Knowledge - LAK '15. Presented at the the Fifth International Conference.

By: M. Eagle n, D. Hicks n, B. Peddycord n & T. Barnes n

Event: the Fifth International Conference

TL;DR: The types of tutoring environments that are best modeled by interaction networks, and how the empirical observations of problem-solving result in common network features are discussed are discussed, finding that interaction networks exhibit the properties of scale-free networks such as vertex degree distributions that follow power law. (via Semantic Scholar)
Source: Crossref
Added: January 19, 2020

2015 chapter

Data-Driven Worked Examples Improve Retention and Completion in a Logic Tutor

In Lecture Notes in Computer Science (pp. 726–729).

author keywords: Worked examples; Data-driven; Problem-solving
TL;DR: This study demonstrates that worked examples, automatically generated from student data, can be used to improve student learning in tutoring systems. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (Web of Science; OpenAlex)
Source: Crossref
Added: January 19, 2020

2015 journal article

The effects of integrating service learning into computer science: an inter-institutional longitudinal study

Computer Science Education, 25(3), 311–324.

By: J. Payton*, T. Barnes n, K. Buch*, A. Rorrer* & H. Zuo*

author keywords: service learning; broadening participation in computing (BPC); computing efficacy; computing commitment
TL;DR: How the STARS Alliance has expanded to diverse institutions, all using service learning as a vehicle for broadening participation in computing and enhancing attitudes and behaviors associated with student success is described. (via Semantic Scholar)
Source: Crossref
Added: January 19, 2020

2015 journal article

SIGCSE BP

ACM SIGCSE Bulletin, 47(3), 8–8.

By: T. Barnes*

Source: Crossref
Added: January 19, 2020

2015 journal article

The beauty and joy of computing

ACM Inroads, 6(4), 71–79.

TL;DR: The philosophy of the Beauty and Joy of Computing, an update on the course design principles, a general flow through the authors' curriculum, the impact BJC has had, and lessons learned are shared. (via Semantic Scholar)
Source: Crossref
Added: January 19, 2020

2015 conference paper

Measuring Implicit Science Learning with Networks of Player-Game Interactions

Proceedings of the 2015 Annual Symposium on Computer-Human Interaction in Play - CHI PLAY '15. Presented at the the 2015 Annual Symposium.

By: M. Eagle n, E. Rowe*, D. Hicks n, R. Brown n, T. Barnes n, J. Asbell-Clarke*, T. Edwards*

Event: the 2015 Annual Symposium

TL;DR: This work collected data from 195 high school students playing an optics puzzle game, Quantum Spectre, and modeled their game play as an interaction network, finding the networks were useful for visualization of student behavior, identifying areas of student misconceptions and locating regions of the network where students become stuck. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (OpenAlex)
Source: Crossref
Added: January 19, 2020

2015 conference paper

Towards data-driven mastery learning

Proceedings of the Fifth International Conference on Learning Analytics And Knowledge - LAK '15. Presented at the the Fifth International Conference.

By: B. Mostafavi, M. Eagle & T. Barnes*

Event: the Fifth International Conference

TL;DR: Results show that the data-driven mastery learning system increases mastery of target tutor-actions, improves tutor scores, and lowers the rate of tutor dropout over Deep Thought, with or without provided hints. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (OpenAlex)
Source: Crossref
Added: January 19, 2020

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