Open AccessJournal Article
Sequential pattern analysis: Method and application in exploring how students develop concept maps
Chiung-Hui Chiu,Chien Liang Lin +1 more
TL;DR: A method for sequential pattern analysis, inspired by sequential pattern mining algorithms generally applied to commercial forecast and decision supports, is proposed, which can be programmed for automatic execution and thus reasonably fast, yielding reproducible results.
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Abstract: Concept mapping is a technique that represents knowledge in graphs. It has been widely adopted in science education and cognitive psychology to aid learning and assessment. To realize the sequential manner in which students develop concept maps, most research relies upon human-dependent, qualitative approaches. This article proposes a method for sequential pattern analysis, inspired by sequential pattern mining algorithms generally applied to commercial forecast and decision supports. The method can be programmed for automatic execution and thus reasonably fast, yielding reproducible results. To validate the proposed method, 187 college students were recruited to create respective concept maps on a computerized concept mapping system. While the concept mapping data was analyzed by the sequential pattern analysis method, it was found that the mapping sequences used by students that created superior concept maps were similar and had a pattern in which propositions were formed in a temporal order from more inclusive to less inclusive. Conversely, no similarity was found in the concept mapping sequences by those who created inferior concept maps. The findings support theoretical expectations about concept mapping and are consistent with qualitative evidence based on student self-reports.
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Peningkatan kompetensi profesionalitas guru melalui pelatihan desain pembelajaran peta konsep
TL;DR: In this paper, the UNISMA service team will provide training on learning of concept maps, which can guide students to understand the concepts of students well and can implement at MAN Lumajang.
Decision support system for inventory management in pharmacy using fuzzy analytic hierarchy process and sequential pattern analysis approach
Rendra Gustriansyah,Dana Indra Sensuse,Arief Ramadhan +2 more
- 01 Nov 2015
TL;DR: In this article, a decision support system for inventory management in pharmacy, especially to predict next inventory using FAHP and SPA approach, was developed. And the model also proposes a model to predict inventory.
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Evaluating the kit-build concept mapping process using sub-map scoring
TL;DR: It is hypothesized that if a learner comprehends the meaning of a sub-map, the learner will recompose the sub- map as a continuous activity, and the overall SMS score is derived from these evaluations.
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Concept Maps als Assessmentinstrument in IT-gestützten pädagogischen Interventionen
Marian Thiel de Gafenco
- 01 Jan 2020
TL;DR: Schmees et al. as mentioned in this paper show that the chinesisch-deutsche Zusammenarbeit auf dem Gebiet der Berufsbildung finds in den vergangenen 30 years an Dynamik gewonnen, in denen das deutsche Ausbildungssystem als Referenzmodell für potentielle reformen in der Volksrepublik herangezogen wird.
References
Mining sequential patterns
Rakesh Agrawal,Ramakrishnan Srikant +1 more
- 06 Mar 1995
TL;DR: Three algorithms are presented to solve the problem of mining sequential patterns over databases of customer transactions, and empirically evaluating their performance using synthetic data shows that two of them have comparable performance.
How a qualitative approach to concept map analysis can be used to aid learning by illustrating patterns of conceptual development
TL;DR: In this paper, a qualitative approach to analysing students' concept maps is described, which highlights three major patterns which are referred to as'spoke', 'chain' and 'net' structures.
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The concept map as a research and evaluation tool: Further evidence of validity
TL;DR: In this article, the authors examined the extent to which differences exist in the concept maps of advanced college biology majors and beginning non-majors in the domain of mammals and explored whether these differences are reflected in the way subjects assign class membership as revealed in a card sorting task.
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Using concept maps to measure deep, surface and non‐learning outcomes
TL;DR: The authors used concept mapping to reveal patterns of student learning (or non-learning) in the course of master's level teaching for research methods and found that deep, surface and nonlearning are tangible measures of learning that can be observed directly as a consequence of learning.
The Knowledge Arena as an Extension to the Concept Map: Reflection in Action
TL;DR: The concept map is becoming a ubiquitous tool in education as discussed by the authors and has been used by many researchers and practitioners to diagnose misunderstanding, improve study methods and glimpse how learners come to know.
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