Digital Transformation of Education

Works Published in 2018

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Displaying works 1 - 20 of 26 in total

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

2018 journal article

The Continuous Hint Factory - Providing Hints in Vast and Sparsely Populated Edit Distance Spaces

Journal of Educational Data Mining, 10(1), 1–35. Retrieved from

By: B. Paaßen, B. Hammer, T. Price, T. Barnes, S. Gross & N. Pinkwart

Source: NC State University Libraries
Added: December 8, 2020

2018 conference paper

Reducing the State Space of Programming Problems through Data-Driven Feature Detection

Education Data Mining Workshop.

By: R. Zhi, T. Price, N. Lytle, Y. Dong & T. Barnes

Source: NC State University Libraries
Added: December 8, 2020

2018 chapter

Exploring Online Course Sociograms Using Cohesion Network Analysis

In Lecture Notes in Computer Science (pp. 337–342).

By: M. Sirbu*, M. Dascalu*, S. Crossley*, D. McNamara*, T. Barnes n, C. Lynch n, S. Trausan-Matu

author keywords: Cohesion Network Analysis; Online courses; Sociograms; Participants clustering; Interaction patterns
TL;DR: Extended CNA visualizations available in the ReaderBench framework are introduced, which can be used to convey information about interactions between participants in online forums, as well as corresponding student clusters within specific timeframes. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (OpenAlex)
Source: Crossref
Added: January 19, 2020

2018 chapter

Empirically Evaluating the Effectiveness of POMDP vs. MDP Towards the Pedagogical Strategies Induction

In Lecture Notes in Computer Science (pp. 327–331).

author keywords: Reinforcement Learning; POMDP; MDP; ITS
TL;DR: An empirical study where RL-induced policies are compared against a random yet reasonable policy shows that when the contents are controlled to be equal, the MDP-based policy can improve students’ learning significantly more than the random baseline while the POMDP- based policy cannot outperform the later. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (OpenAlex)
Source: Crossref
Added: January 19, 2020

2018 chapter

Modeling Math Success Using Cohesion Network Analysis

In Lecture Notes in Computer Science (pp. 63–67).

author keywords: Math success; Cohesion Network Analysis; Online learning; NLP
TL;DR: Examination of math success within a blended undergraduate course using a Cohesion Network Analysis (CNA) approach indicated that math success was related to days spent on the forum and by students who more regularly posted in the online class forum. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (OpenAlex)
Source: Crossref
Added: January 19, 2020

2018 chapter

Investigation of the Influence of Hint Type on Problem Solving Behavior in a Logic Proof Tutor

In Lecture Notes in Computer Science (pp. 58–62).

By: C. Cody n, B. Mostafavi n & T. Barnes n

author keywords: Tutoring system; Hint type; Data-driven
TL;DR: The influence of two hint types (next-step hints and more abstract high-level hints) on students’ behavior in a college-level logic proof tutor, Deep Thought, suggest that hint types can affect student behavior, including hint usage, rule applications, and time in-tutor. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (OpenAlex)
Source: Crossref
Added: January 19, 2020

2018 conference paper

Creation and validation of low-stakes rubrics for K-12 computer science

Proceedings of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education - ITiCSE 2018. Presented at the the 23rd Annual ACM Conference.

Event: the 23rd Annual ACM Conference

author keywords: Nominal Group Technique; CS Principles; Rubrics; BJC
TL;DR: This research establishes a validated method for creating a full-suite of project-based rubrics for K-12 computing courses, helping teachers, researchers, and practitioners make much-needed course materials. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (OpenAlex)
Source: Crossref
Added: December 16, 2019

2018 chapter

The Impact of Data Quantity and Source on the Quality of Data-Driven Hints for Programming

In Lecture Notes in Computer Science (pp. 476–490).

author keywords: Data-driven hints; Programming; Hint quality; Cold start
TL;DR: It is found that with student training data, hint quality stops improving after 15–20 training solutions and can decrease with additional data, and that student data outperforms a single expert solution but that a comprehensive set of expert solutions generally performs best. (via Semantic Scholar)
Source: Crossref
Added: December 16, 2019

2018 chapter

Learning Curve Analysis in a Large-Scale, Drill-and-Practice Serious Math Game: Where Is Learning Support Needed?

In Lecture Notes in Computer Science (pp. 436–449).

By: Z. Peddycord-Liu n, R. Harred n, S. Karamarkovich n, T. Barnes n, C. Lynch n & T. Rutherford n

author keywords: Learning analytics; Serious games; Educational data mining; Fraction learning
TL;DR: This work stresses the importance of designing games that support students’ comprehension of math concepts, rather than the learning of content- and situation-specific skills to pass games, and derived actionable game design feedback and educational insights regarding fraction learning. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (OpenAlex)
Source: Crossref
Added: December 16, 2019

2018 conference paper

Recruitment through LinkedIn: Lessons learned from the Fortune 100 companies.

International Conference on Information Systems (ICIS). San Francisco, CA.

By: U. Eseryel, R. Booji & D. Eseryel

Source: ORCID
Added: November 21, 2019

2018 conference paper

Identifying the critical success factors for low customized ERP system implementations in SMEs.

Hawaii International Conference on System Sciences (HICCS), 3–6, Waikoloa Village, HI: January.

By: J. Wolters, U. Eseryel & D.

Source: ORCID
Added: November 21, 2019

2018 journal article

Examining the Learning by Teaching Method in Computer-Aided Design Instruction

Computer-Aided Design and Applications, 8.

By: X. Peng, D. Zhang, M. Jackson, B. Yalvac, A. Ketsetzi & D. Eseryel*

TL;DR: Findings indicate that first generation college students in the experimental group dramatically improved their CAD modeling knowledge and life-long learning skills in comparison to their counterparts in the control group. (via Semantic Scholar)
Source: ORCID
Added: November 21, 2019

2018 journal article

Computer-Aided Design & Applications

Computer-Aided Design & Applications. Examining the Learning by Teaching Method in Computer-Aided Design Instruction., 16(1), 129–139.

By: X. Peng, D. Zhang, M. Jackson, B. Yalvac, A. Ketsetzi & D. Eseryel

Source: ORCID
Added: November 21, 2019

2018 article

Improving Learning & Reducing Time: A Constrained Action-Based Reinforcement Learning Approach

Improving Learning & Reducing Time: A Constrained Action-Based Reinforcement Learning Approach. PROCEEDINGS OF THE 26TH CONFERENCE ON USER MODELING, ADAPTATION AND PERSONALIZATION (UMAP'18), pp. 43–51.

author keywords: Constrained Reinforcement Learning; POMDP; Intelligent Tutoring System
TL;DR: This work constructs a general data-driven framework called Constrained Action-based Partially Observable Markov Decision Process (CAPOMDP) to induce effective pedagogical policies and induces two types of policies: CAPOMDPLG using learning gain as reward with the goal of improving students' learning performance, and CAPomDPTime using time as reward for reducing students' time on task. (via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Source: Web Of Science
Added: April 2, 2019

2018 article

Gaze-Enhanced Student Modeling for Game-based Learning

PROCEEDINGS OF THE 26TH CONFERENCE ON USER MODELING, ADAPTATION AND PERSONALIZATION (UMAP'18), pp. 63–72.

By: A. Emerson n, R. Sawyer n, R. Azevedo n & J. Lester n

author keywords: Student modeling; Gaze; Game-based learning
TL;DR: Results of a study conducted with 65 college students interacting with the CRYSTAL ISLAND game-based learning environment indicate that the gaze-enhanced student model significantly outperforms the baseline model in dynamically predicting student problem-solving performance. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (Web of Science; OpenAlex)
Source: Web Of Science
Added: April 2, 2019

2018 article

Infusing Computational Thinking into Middle Grade Science Classrooms: Lessons Learned

WIPSCE'18: PROCEEDINGS OF THE 13TH WORKSHOP IN PRIMARY AND SECONDARY COMPUTING EDUCATION, pp. 109–114.

By: V. Catete n, N. Lytle n, Y. Dong n, D. Boulden n, B. Akram n, J. Houchins n, T. Barnes n, E. Wiebe n ...

author keywords: Professional Development; STEM plus C; Computational Thinking
TL;DR: Initial lessons learned while conducting design-based implementation research on integrating computational thinking into middle school science classes are presented and case studies suggest that several factors including teacher engagement, teacher attitudes, student prior experience with CS/CT, and curriculum design can all impact student engagement in integrated science-CT lessons. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (Web of Science)
Source: Web Of Science
Added: January 28, 2019

2018 article

Evaluating Adaptive Pedagogical Agents' Prompting Strategies Effect on Students' Emotions

INTELLIGENT TUTORING SYSTEMS, ITS 2018, Vol. 10858, pp. 33–43.

author keywords: Adaptivity; Prompting; Pedagogical agents; Intelligent tutoring systems; Emotions; Affects; Metacognition; Self-regulated learning
TL;DR: Examination of the impact of different prompting strategies on self-reported agent-directed emotions in an ITS that scaffolds students’ use of self-regulated learning (SRL) strategies, taking into account students' prior knowledge indicates that more intense initial prompting can indeed lead to increased frustration, and sometimes boredom even toward pedagogical agents that are perceived as competent. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (Web of Science; OpenAlex)
Source: Web Of Science
Added: November 26, 2018

2018 article

Changes in Emotion and Their Relationship with Learning Gains in the Context of MetaTutor

INTELLIGENT TUTORING SYSTEMS, ITS 2018, Vol. 10858, pp. 202–211.

author keywords: Computer-based learning environments; Academic emotions; Latent transition analysis
TL;DR: The findings suggest the need for timely intervention for learners who are on the verge of negative emotional trajectories, and the complex relationship between learning gains and emotions. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (Web of Science)
Source: Web Of Science
Added: November 26, 2018

2018 article

How Are Students' Emotions Associated with the Accuracy of Their Note Taking and Summarizing During Learning with ITSs?

INTELLIGENT TUTORING SYSTEMS, ITS 2018, Vol. 10858, pp. 233–242.

author keywords: Cognitive learning strategies; Facial expressions of emotion; Process data; Self-regulated learning; Latent semantic analysis
TL;DR: Results reveal the importance of investigating specific self-regulated learning processes, such as taking notes or making summaries, with future research aimed at examining the differences and similarities between different cognitive and metacognitive processes and how they interact with different emotions similarly or differently during learning. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (Web of Science; OpenAlex)
Source: Web Of Science
Added: November 26, 2018

2018 conference paper

Identifying How Metacognitive Judgments Influence Student Performance During Learning with MetaTutorIVH

INTELLIGENT TUTORING SYSTEMS, ITS 2018, 10858, 140–149.

By: N. Mudrick n, R. Sawyer n, M. Price n, J. Lester n, C. Roberts* & R. Azevedo n

TL;DR: This paper reports on a study investigating how students’ EOL judgments can influence their performance and significantly predict their learning outcomes during learning with MetaTutorIVH, an ITS for human physiology. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (OpenAlex)
Source: NC State University Libraries
Added: November 26, 2018

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