Got Game? A Choice-Based Learning Assessment of Data Literacy and Visualization Skills

详细信息    查看全文

• 作者：Doris B. Chin ; Kristen P. Blair ; Daniel L. Schwartz
• 刊名：International Journal of Computers for Mathematical Learning
• 出版年：2016
• 出版时间：July 2016
• 年：2016
• 卷：21
• 期：2
• 页码：195-210
• 全文大小：1,067 KB
• 刊物类别：Humanities, Social Sciences and Law
• 刊物主题：Education
  Mathematics Education
  Interdisciplinary Studies
  Mathematics
  
• 出版者：Springer Netherlands
• ISSN：2211-1670
• 卷排序：21

文摘

In partnership with both formal and informal learning institutions, researchers have been building a suite of online games, called choicelets, to serve as interactive assessments of learning skills, e.g. critical thinking or seeking feedback. Unlike more traditional assessments, which take a retrospective, knowledge-based view of learning, choicelets take a prospective, process-based view and focus on students’ choices as they attempt to solve a challenge. The multi-level challenges are designed to allow for players’ “free choice” as they explore and learn how to solve the challenge. The system provides them with various learning resources, and tracks whether, what, how, and when they choose to learn. This paper briefly describes a partner’s curriculum focused on data literacy and visualization, the design of a choice-based assessment for their program, and reports on an initial study of the curriculum and game with 10th grade biology students. Results are presented in the context of the design research questions: Do student choices in the game predict their learning from the game?Does the curriculum teach the students to choose more effectively with respect to data visualization? Future work for choice-based assessments is also discussed.KeywordsEducational technologyLearning assessmentEducational assessmentGame-based assessmentscience education