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作者机构:Univ Memphis Instruct Design & Technol Memphis TN 38152 USA Univ New Mexico Org Informat & Learning Sci Albuquerque NM 87131 USA Univ Oklahoma Dept Educ Psychol Instruct Psychol & Technol Norman OK 73019 USA Texas Tech Univ Instruct Technol Lubbock TX 79409 USA Northern Illinois Univ Educ Technol Res & Assessment De Kalb IL 60115 USA
出 版 物:《COMPUTERS IN HUMAN BEHAVIOR》 (Comput. Hum. Behav.)
年 卷 期:2018年第87卷
页 面:436-449页
核心收录:
学科分类:0402[教育学-心理学(可授教育学、理学学位)] 08[工学] 0812[工学-计算机科学与技术(可授工学、理学学位)]
主 题:Scaffold Fading Problem-based learning Ill-structured problem solving Argumentation Learning analytics
摘 要:Research suggests that scaffolding is an important element when gaining problem-solving skills. However, very little research has investigated the role of fading and explored its implications in the context of deep learning. To address this gap, we investigated the effects of fading question prompts on argumentation as learners were given two fading schedules, (1) sustained scaffold schedule, and (2) faded scaffold schedule. We employed three different measurements of argumentation quality to triangulate the results. When using the rubric assessment method, we found no significant differences between the two conditions in argumentation quality. However, when using learning analytics to examine the conceptual linkages of students knowledge structure, we found that students in the sustained scaffolding condition performed significantly better than the students in the faded condition. The results indicated that (a) scaffolds should not be faded before students have acquired the necessary problem-solving processes and (b) that novices might need a fuller set of scaffolds for a longer period to support their problem-solving performance. Implications for theory and methods are discussed. (C) 2018 Elsevier Ltd. All rights reserved.