Constructing a Novel Mind Map to Identify Difficult Topics in Biology Using Processing Software
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| Title: | Constructing a Novel Mind Map to Identify Difficult Topics in Biology Using Processing Software |
|---|---|
| Language: | English |
| Authors: | Zeynep Güler, Burcu Güngör Cabbar, Sami Özgür |
| Source: | Journal of Science Learning. 2024 7(3):248-256. |
| Availability: | Universitas Pendidikan Indonesia. Jl. Dr. Setiabudhi No. 229 Bandung 40154 Jawa Barat - Indonesia. e-mail: jslearning@upi.edu; Web site: http://ejournal.upi.edu/index.php/jslearning |
| Peer Reviewed: | Y |
| Page Count: | 9 |
| Publication Date: | 2024 |
| Document Type: | Journal Articles Reports - Research |
| Education Level: | Higher Education Postsecondary Education |
| Descriptors: | Biology, Science Education, Science Teachers, Preservice Teachers, Scientific Concepts, Difficulty Level, Cognitive Mapping, Computer Software, Foreign Countries |
| Geographic Terms: | Turkey |
| ISSN: | 2614-6568 |
| Abstract: | This study aims to determine those topics and concepts that biology and science teacher candidates find most challenging to learn in biology lessons. A qualitative case study research method was used to this end. A total of 132 science and biology teacher candidates studying at a state university were asked to write down the ten subjects or concepts they found difficult to learn in biology and the order in which these came to mind. As a result of the content analysis of the collected data, a novel concept map was created using the Processing 3.3.4 software. According to this map, the subjects that teacher candidates found most challenging to learn in biology are circulatory, genetics, respiratory, and energy. Comparably, those subjects they found least challenging to learn were Basic components of living things, Support and movement systems, and Evolution. The results of the novel mind map can help researchers conduct studies on subjects that are difficult to learn in biology. The results of the novel mind map produced by this study will help future research on subjects that are difficult to learn in the field of biology. |
| Abstractor: | As Provided |
| Entry Date: | 2025 |
| Accession Number: | EJ1458460 |
| Database: | ERIC |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=EJ1458460 Name: ERIC Full Text Category: fullText Text: Full Text from ERIC |
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| RecordInfo | BibRecord: BibEntity: Languages: – Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 248 Subjects: – SubjectFull: Biology Type: general – SubjectFull: Science Education Type: general – SubjectFull: Science Teachers Type: general – SubjectFull: Preservice Teachers Type: general – SubjectFull: Scientific Concepts Type: general – SubjectFull: Difficulty Level Type: general – SubjectFull: Cognitive Mapping Type: general – SubjectFull: Computer Software Type: general – SubjectFull: Foreign Countries Type: general – SubjectFull: Turkey Type: general Titles: – TitleFull: Constructing a Novel Mind Map to Identify Difficult Topics in Biology Using Processing Software Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zeynep Güler – PersonEntity: Name: NameFull: Burcu Güngör Cabbar – PersonEntity: Name: NameFull: Sami Özgür IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2024 Identifiers: – Type: issn-electronic Value: 2614-6568 Numbering: – Type: volume Value: 7 – Type: issue Value: 3 Titles: – TitleFull: Journal of Science Learning Type: main |
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