VLDB 2026 Research / reviewers in the wild / expert
Aryo Pinandito
dblp:214/3797
· DBLP profile ↗
6ranked-venue papers
2as first author
5since 2021 · last 2023
0000-0002-8509-2383ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 6 · 2 first-author · 5 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Process Evaluation for Concept Map Building and Its Experimental EvaluationabstractConcept map as an assessment tool is widely accepted in the field of education. In this research, assuming the process evaluation of concept map building leads to better evaluation than the product (that is, built concept map) evaluation, we proposed a process evaluation method and conducted an experimental evaluation of the method. The process evaluation method is intended for re-composition type of concept maps, not for general ones. In the re-composition concept map, a learner is provided a set of components of a concept map, that is, links and nodes, and required to recompose a concept map by using the components. The provided components are generated by decomposing the concept map built by an expert as a representation of understanding of the learning target. In this research, we set several submaps with a set of semantics in one expert map and define a good process by recomposing the submap as a series of activities. The process evaluation results were compared with the product evaluation results for the data of a practical use of re-composition of concept map in undergraduate class. As the results of the comparison, we have already confirmed that the result of process evaluation was a better predictor of learner’s understanding than the results of the product evaluation. In this paper as an additional analysis, we reported the analysis of relation between process evaluation and product evaluation. The difference between the evaluation methods could result in a case where there is zero score for process evaluation and full score for product evaluation. However, analysis results confirmed that there is a strong correlation between the two evaluation methods with r value = 0.8. These results suggest that support for the process of submap re-composition is a promising way for learners to recompose a good concept map. We further explore the usability of the process evaluation to the teachers, and it shows a high rate of agreement of the usefulness and appropriateness of the method. Based on the results, we are developing a formative assessment and support environment for concept map re-composition. Ridwan Rismanto, Aryo Pinandito, Banni Satria Andoko, Yusuke Hayashi, Tsukasa Hirashima |
ICCE | 2 |
| 2023 | Concept Map Recomposition Approach for Advanced Formative Assessment in Large-Scale Online Course
Sho Yamamoto, Aryo Pinandito, Tsukasa Hirashima |
ICCE | 2 |
| 2021 | Conceptual Level Comprehension Support of the Object-Oriented Programming Source-Code Using Kit-Build Concept Map
Nawras Khudhur, Pedro Furtado 0002, Aryo Pinandito, Shimpei Matsumoto, Yusuke Hayashi |
ICCE | 3 |
| 2021 | The Effectiveness of Collaborative Concept Map Recomposition and Discussion with Kit-Build Concept Map in Online Learning
Aryo Pinandito, Didik Dwi Prasetya, Nawras Khudhur, Yusuke Hayashi, Tsukasa Hirashima |
ICCE | 1 |
| 2021 | Investigating the Tightness of Connection between Original Map and Additional Map in Extension Concept Mapping
Didik Dwi Prasetya, Aryo Pinandito, Yusuke Hayashi, Tsukasa Hirashima |
ICCE | 2 |
| 2020 | Online Collaborative Kit-Build Concept Map
Aryo Pinandito, Yusuke Hayashi, Tsukasa Hirashima |
ICCE | 1 |