• 作者： 連啟瑞; 盧玉玲
• 作者服務機構： 國立台北師範學院數理教育學系
• 中文摘要： 本研究旨在探討科學、科技新聞設定之議(問)題、國小教師欲知議(問)題與社會人士欲知議(問)題之屬性，並比較其彼此間之同質性。科學、新聞資料收集以文獻法為主；教師欲知與社會人士欲知議(問)題收以調查法為主。並以內容分析方法進行屬性分析，主要之分析模式依認知層次分為知曉模式、顯著模式與優先模式等三種。研究所得為：
  一、 科學、科技新聞設定議(問)題屬性偏重知曉模式，教師欲知與社會人士欲知議(問)
  題屬性偏重知曉及顯著二模式。
  二、 科學、科技新聞設定議(問)題、教師欲知議(問)題、社會人士欲知議(問)題三者中，
  任二者間之屬性均不具同質性，但三者之優先模式議(問)題比率皆偏低。
• 英文摘要： The purpose of this study was to compare the levels of question in science and technology related issues presented by news media, elementary school teachers, and citizens. Science and technology related issues presented by news media were collected by literature review and those presented by elementary school teachers and citizens were collected by survey method.
  A three-level classification system (awareness model, salience model and priorities model) was utilized to examine the level of the issues. Each issue was assigned to one of the three categories. Analysis of the results indicated that science and technology related issues presented by news media belong to awareness model are more often than expected. Additionally, science and technology related issues presented by elementary school teachers and citizens belong to awareness model and salience model are more often than expected too. When comparing the sources to each other, the questions level of science and technology related issues presented by the news media, elementary school teachers and citizens are not the same. But all of these show a very low ratio of priorities model questions.
• 中文關鍵字： 內容分析; 科學教師; 科學議題; 問題分類; 議題設定
• 英文關鍵字： Content analysis; Science teacher science issue; Question classification agenda setting