Please use this identifier to cite or link to this item:
https://olympias.lib.uoi.gr/jspui/handle/123456789/8605Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Stamovlasis, D. | en |
| dc.contributor.author | Tsaparlis, G. | en |
| dc.date.accessioned | 2015-11-24T16:42:50Z | - |
| dc.date.available | 2015-11-24T16:42:50Z | - |
| dc.identifier.uri | https://olympias.lib.uoi.gr/jspui/handle/123456789/8605 | - |
| dc.rights | Default Licence | - |
| dc.subject | problem-solving | en |
| dc.subject | Johnstone-El Banna predictive model | en |
| dc.subject | working memory capacity | en |
| dc.subject | mental-demand of a problem | en |
| dc.subject | complexity theory | en |
| dc.subject | working-memory random walk | en |
| dc.subject | Hurst exponent | en |
| dc.subject | long-range correlations | en |
| dc.subject | order | en |
| dc.title | Non-linear analysis of the effect of working memory capacity on organic-synthesis problem solving | en |
| heal.type | journalArticle | - |
| heal.type.en | Journal article | en |
| heal.type.el | Άρθρο Περιοδικού | el |
| heal.identifier.primary | 10.1039/B0RP90017F | - |
| heal.identifier.secondary | http://pubs.rsc.org/en/Content/ArticleLanding/2000/RP/B0RP90017F#!divAbstract | - |
| heal.language | en | - |
| heal.access | campus | - |
| heal.recordProvider | Πανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Χημείας | el |
| heal.publicationDate | 2000 | - |
| heal.abstract | This work examines the role of working memory capacity in problem solving in chemistry, and in particular it re-examines the validity of the Johnstone-El Banna predictive model, by employing non-linear methods. The study correlates the students"™ information-processing capacity with their performance, by using fractal geometry adapted for treating problem-solving data. The rank order of the subjects"™ achievement scores and their working-memory capacities were treated as dynamic flows and found to possess different geometric characteristics depending on the complexity of the problem and the method of marking. The classification and interpretation of these characteristics were made using concepts from complexity theory, such as correlation exponents, fractal dimensions and entropy. The findings support the hypothesis that long-range correlations exist between the rank order of the subjects"™ achievement scores and their working-memory capacity, and are in agreement with the Johnstone-El Banna model. | en |
| heal.publisher | Royal Society of Chemistry | en |
| heal.journalName | Chemistry Education Research and Practice | en |
| heal.journalType | peer reviewed | - |
| heal.fullTextAvailability | TRUE | - |
| Appears in Collections: | Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά). ΧΗΜ | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Tsaparlis-2000-Non-linear analysis.pdf | 304.62 kB | Adobe PDF | View/Open Request a copy |
This item is licensed under a Creative Commons License
