以教師觀點評價玩具與STEAM教育關聯性之研究－以親子天下「STEAM好玩具100」為例

A Study on the Relevance of Toys and STEAM Education from Teachers’ Perspectives - An Example of "STEAM Toys 100" from CW Education Media and Publishing

呂登輝(Teng-Hui Lu)

指導教授 ： 邱富源

國立清華大學/竹師教育學院/教育與學習科技學系/碩士(2019年)

摘要

本研究旨在了解教師對於市售的STEAM玩具與STEAM教育之關聯性，意即玩具本身是否與STEAM的五個領域(科學、科技、工程、藝術以及數學)有所關聯，並且以親子天下雜誌第91期「STEAM好玩具100」當中研究者於研究期間可取得的98種玩具作為研究標的，調查教師對於這98種玩具與STEAM教育的關聯性，並且分析教師對於STEAM玩具的看法是否會因為性別、任教身分、任教階段以及對STEAM教育的瞭解而有所不同。
本研究以調查研究作為研究方法，使用問卷作為研究工具，總共蒐集74份有效問卷，當中36份問卷來自職前教師，另外38份問卷來自現職教師。在問卷資料蒐集與整理完畢以後，透過IBM SPSS 23統計軟體，進行獨立樣本t檢定分析以及皮爾森相關性分析，統計分析的結果如下:
(一) 僅有少數的STEAM玩具在STEAM五元素當中都有高度的關聯性。
(二) 影響本研究STEAM玩具排序最主要的因素是每個玩具在STEAM五元素間得分的差異。
(三) 在本研究98種STEAM玩具當中，只有少數的玩具會因為教師的性別、任教身分以及任教階段不同，而在得分上有顯著差異。
(四) 在本研究98種STEAM玩具當中，有超過一成的玩具會因為教師對於STEAM教育熟悉程度的不同，而在得分上有顯著差異。
(五) 在本研究的Top 10 STEAM玩具當中，若分別以教師的性別和任教身分來分組，在所有玩具的每個STEAM五元素當中，只有少數元素的得分是有顯著差異的。
(六) 在本研究的Top 10 STEAM玩具當中，若分別以教師的任教階段和對STEAM的熟悉程度來分組，在所有玩具的每個STEAM五元素當中，有較多元素的得分是有顯著差異的。
(七) 在Top 10 STEAM玩具當中，每一個玩具科學元素的得分與科技元素的得分都有高度的正相關性，每一個玩具科技元素的得分與工程元素的得分也都有高度的正相關性。
本研究最後根據研究結果，分別針對玩具使用者、教師、STEAM玩具開發商以及後續相關的研究方向提出研究者的建議。

關鍵字

STEAM玩具 ； STEAM教育 ； 親子天下雜誌 ； 教師觀點

並列摘要

This study aims to understand teachers’ perspectives on the relevance of commercially available STEAM toys and STEAM Education. In other words, it is to study whether the toy itself is related to the five fields of STEAM (science, technology, engineering, art and mathematics). The research targets of this study are the 98 kinds of STEAM toys which the researcher could obtain during the study period from the topic of "STEAM Toys 100" of CW Education Media and Publishing. In addition to investigating teachers' views on the relevance of these 98 toys to STEAM Education, this study also analyzed whether teachers' perceptions of STEAM toys vary depending on gender, teaching status, teaching stage, and understanding of STEAM Education.
This study used survey research as the research method and used questionnaire as the research tool. A total of 74 valid questionnaires were collected, of which 36 were from pre-service teachers and 38 were from current teachers. After the questionnaire data was collected and collated, the researcher used IBM SPSS 23 statistical software to perform independent sample t-test analysis and Pearson correlation analysis. The results of the statistical analysis are as follows:
(1) Only a few STEAM toys have a high degree of relevance among the five elements of STEAM.
(2) The main factor affecting the STEAM toy ranking in this study was the difference in scores between the five elements of STEAM in each toy.
(3) Among the 98 STEAM toys in this study, only a few toys had significant differences in scores due to the teachers' gender, teaching status, and teaching stage.
(4) Among the 98 STEAM toys in this study, more than 10% of the toys had significant differences in scores due to the different levels of understanding of STEAM education of teachers.
(5) Among the STEAM’s five-element scores of the Top 10 STEAM toys in this study, only few elements were significantly different due to different genders or teaching status of teachers.
(6) Among the STEAM’s five-element scores of the Top 10 STEAM toys in this study, there were more elements that were significantly different because of different teaching stage or teachers with different levels of familiarity with STEAM Education.
(7) In the Top 10 STEAM toys, the scores of the Science elements of each toy are highly positively correlated with the scores of the Technology elements. The scores of the Technology elements of each toy are also highly positively correlated with the scores of the Engineering elements.
At the end of the study, based on the research results, the researcher’s suggestions were made for toy users, teachers, STEAM toy developers and related research directions.

並列關鍵字

STEAM toys ； STEAM Education ； CW Education Media and Publishing ； teachers’ perspectives

參考文獻

1. Asghar, A., Ellington, R., Rice, E., Johnson, F., & Prime, G. M. (2012). Supporting Stem Education in secondary science contexts IJl. Interdisciplinary Journal of Problem-based Learning, 6(2): 4. doi: 10.7771/1541-5015.1349

6. Cantrell, P., Pekcan, G., Itani, A., & Velasquez - Bryant, N. (2006). The effects of engineering modules on student learning in middle school science classrooms. Journal of Engineering Education, 95(4), 301-309. doi:10.1002/j.2168-9830.2006.tb00905.x

2. Asunda, P. A. (2012). Standards for technological literacy and STEM education delivery through career and technical education programs. Journal of Technology Education, 23(2), 44-60.

3. Bayer Corporation. (2010). Planting the seeds for a diverse U.S. STEM pipeline: A compendium of best practice K-12 STEM education programs. Pittsburgh, PA: Author.

4. Becker, K., & Park, K. (2011). Effects of integrative approaches among science, technology, engineering, and mathematics (STEM) subjects on students’ learning: A preliminary meta-analysis. Journal of STEM education, 12, 23-36.