Digital Transformation of Education

Works Published in 2017

search works

Displaying works 21 - 28 of 28 in total

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

2017 journal article

Using multi-channel data with multi-level modeling to assess in-game performance during gameplay with CRYSTAL ISLAND

COMPUTERS IN HUMAN BEHAVIOR, 76, 641–655.

author keywords: Cognitive strategies; Metacognitive monitoring; Game-based learning environments; Eye tracking; Log files; Self-regulated learning
TL;DR: This study uses multi-level modeling with data from eye movements and log files to examine the cognitive and metacognitive self-regulatory processes used by 50 college students as they read books and completed the associated in-game assessments (concept matrices) while playing the Crystal Island game-based learning environment. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (Web of Science; OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2017 journal article

Assessing implicit science learning in digital games

COMPUTERS IN HUMAN BEHAVIOR, 76, 617–630.

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

author keywords: Computer-based assessment; Implicit science learning; Game-based learning; Educational data mining; Learning analytics
TL;DR: Results suggest GBLA shows promise for future work such as adaptive games and in-class, data-driven formative assessments, but design of the assessment mechanics must be carefully crafted for each game. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (Web of Science; OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2017 journal article

Engagement and knowledge building in an afterschool STEM Club: analyzing youth and facilitator posting behavior on a social networking site

LEARNING MEDIA AND TECHNOLOGY, 42(3), 331–356.

By: S. Won*, M. Evans n & L. Huang n

author keywords: engagement; integrative STEM education; knowledge building; out-of-school time; social networking sites
TL;DR: It is suggested that efforts to include SNSs in integrative science, technology, engineering, and mathematics programming for youth prioritize consistent monitoring and guidance by supportive and more knowledgeable others as this serves to develop community and encourage youth engagement. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2017 journal article

Understanding problem solving behavior of 6-8 graders in a debugging game

COMPUTER SCIENCE EDUCATION, 27(1), 1–29.

By: Z. Liu n, R. Zhi n, A. Hicks n & T. Barnes n

author keywords: Debugging; K-12; educational games; computational thinking
TL;DR: It was found that in the authors' programming game, debugging required deeper understanding than writing new codes, and problem solving behaviors were significantly correlated with students’ self-explanation quality, number of code edits, and prior programming experience. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (Web of Science; OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2017 conference paper

Assigning students teacher's role: A student-centered approach in computer-aided design education

Proceedings of the ASME International Mechanical Engineering Congress and Exposition, 2016, vol. 5.

By: X. Peng*, T. Yuan*, U. Nadeem*, A. Ketsetzi*, B. Yalvac*, D. Eseryel n, T. Eyupoglu n, S. Cui*

TL;DR: The preliminary work of implementing the learning by teaching approach, a student-centered pedagogy, in the Computer-Aided Design (CAD) education revealed that the students’ engineering attitude was significantly improved. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (OpenAlex)
Sources: NC State University Libraries, NC State University Libraries
Added: August 6, 2018

2017 journal article

Preface for the Special Issue on AI-Supported Education in Computer Science

INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION, 27(1), 1–4.

TL;DR: Computer science has gone beyond an important skill required for a wide range of modern professions, to become an essential competence for everyday life and a very dynamic domain, where technologies, skills and even subfields are constantly emerging and evolving, challenging CS education researchers to find ways to promote effective education. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (Web of Science; OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2017 journal article

Evolution of an Intelligent Deductive Logic Tutor Using Data-Driven Elements

INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION, 27(1), 5–36.

author keywords: Deductive logic instruction; Intelligent tutoring systems; Data-driven methods
TL;DR: This work augmented Deep Thought, an existing computer-based logic tutor, by adding data-driven methods, specifically; intelligent problem selection based on the student’s current proficiency, automatically generated on-demand hints, and determination of student problem solving strategies based on clustering previous students. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (Web of Science; OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2017 journal article

Development and Testing of a Personalized Hazard-Recognition Training Intervention

JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT, 143(5).

author keywords: Construction safety; Safety training; Safety management; Hazard identification; Hazard recognition; Training methods; Personalized training; Safety intervention; Labor and personnel issues
TL;DR: AbstractUnrecognized or unmanaged hazards can expose workers to unanticipated safety risk and can potentially result in catastrophic safety incidents. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

Citation Index includes data from a number of different sources. If you have questions about the sources of data in the Citation Index or need a set of data which is free to re-distribute, please contact us.

Certain data included herein are derived from the Web of Science© and InCites© (2024) of Clarivate Analytics. All rights reserved. You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.