Demo Data from EDBT 2026 / reviewers in the wild / expert
Jia Zhang 0009
dblp:80/2266-9
· DBLP profile ↗
2ranked-venue papers
2as first author
0since 2021 · last 2019
0000-0002-0673-4289ORCID · conflict
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 2 · 2 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 1 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Human-computer interaction and pervasive computing
1 paper |
Learning and educational technologies · 100% | |
| Software engineering, system software, and programming languages
1 paper |
Empirical software engineering · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Learning and educational technologies › immersive learning
augmented reality learning |
0.2 | 1 | 2016 | The Influence of using Augmented Reality on Textbook Support for Learners of Different Learning Styles · ISMAR 2016 |
Empirical software engineering › developer studies
behavioral analysis |
0.1 | 1 | 2016 | The Influence of using Augmented Reality on Textbook Support for Learners of Different Learning Styles · ISMAR 2016 |
Methods — techniques the papers use, named apart from their topics
quasi-experimental design · 0.5lag sequential analysis · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | Applying Augmented Reality to Improve the Outcomes of Procedural Knowledge AcquisitionabstractThe acquisition of procedural knowledge is vital to learning content that emphasizes steps and sequences. However, such learning is difficult for learners in conventional teaching settings. Although research has confirmed that augmented reality (AR) is effective in enhancing learning-related memory, no studies have verified whether AR can effectively enhance memory of procedural knowledge. In this study, an AR mobile application was used to assist in the teaching of Microsoft Excel by guiding students through steps for performing Excel operations and thereby establishing their procedural knowledge of eight Excel formulas. The objective was to verify whether AR could effectively help students retain memory of procedural knowledge. This empirical study on 68 student participants revealed that students using the AR system retained adequate memory of procedural operations 2 weeks after completing the Excel classes. Jia Zhang 0009, Kuo-En Chang |
ICALT | 1 |
| 2016 | The Influence of using Augmented Reality on Textbook Support for Learners of Different Learning StylesabstractIt has been shown in numerous studies that the application of Augmented Reality (AR) to teaching and learning is beneficial, but determining the reasons behind its effectiveness, and in particular the characteristics of students for whom an AR is best suited, can bring forth new opportunities to integrate adaptive instruction and AR in the future. Through a quasi-experimental research design, our study recruited 66 participants in an 8-week long AR-assisted learning activity, and lag sequential analysis was used to analyze participants' behavior in an AR learning environment. We found that AR was more effective in enhancing the learning gains in elementary school science of learners who prefer a Kinesthetic approach to learning. We hypothesize that these effects are due to the increase in opportunity for hands-on activities, effectively increasing learners' concentration and passion for learning. Jia Zhang 0009, Amy Ogan, Tzu-Chien Liu, Yao-Ting Sung, Kuo-En Chang |
ISMAR | 1 |