Constructing a Novel Mind Map to Identify Difficult Topics in Biology Using Processing Software

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Bibliographic Details
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
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