Skip to content
naulon
Not checkedNot checked for notices yet.

Concept cartoon in problem-based learning: A systematic literature review analysis

Siti Jamal, Nor Ibrahim, Johari Surif

Journal of Technology and Science Education · 2019

doi:10.3926/jotse.542 (opens in a new tab)

We email you when a new notice or a question about this paper appears.

Abstract

Concept cartoon teaching strategy have the potential to increase creativity and innovation as well as the students' interest in understanding concepts. It is considered as a method that encourages students to continue exploring the issues raised and seeking solutions. This concept cartoon lesson is very suitable to be applied in the field of Science, Technology, Engineering and Mathematics which is often regarded as an abstract and difficult field. Therefore, it is becoming a necessity to see how far the cartoon concept in learning has been implemented in schools. This systematic literature review analysis aims to focus on the similarities and differences such as the objective used, the methodology used and the findings of the study. The study article was selected through a database of various types of journals according to keywords. Keywords used in the search are Concept Cartoon AND comic AND Problem-based learning. The search has been limited between 2009 and 2017. A total of 9 studies have been selected to be analyzed based on the four steps in systematic literature review. The four steps included frame a question, run a search, read the abstract and tittle of individual papers and abstract information from selected set of final articles. The results of the systematic literature review analysis can be concluded on recent research and previous research that cartoon concept teaching strategy is very effective in enhancing creative thinking as well as cultivating students' interest in Science, Technology, Engineering and Mathematics.

Abstract licence: CC BY

Reads

Read by people on this page

None yet.

Checked or read by AI through naulon

None yet.

A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.

Are you an author?

Is this your paper?

Claim it to add your note and be paid when agents cite it. Free.