Investigation of the impact of two verbal instruction formats and prior knowledge on student learning in a simulation-based learning environment

被引:3
作者
Liu, Han-Chin [2 ]
Chuang, Hsueh-Hua [1 ,3 ]
机构
[1] Natl Sun Yat Sen Univ, Ctr Teacher Educ, Kaohsiung 80424, Taiwan
[2] Natl Chiayi Univ, Dept E Learning Design & Management, Chiayi, Taiwan
[3] Natl Sun Yat Sen Univ, Inst Educ, Kaohsiung 80424, Taiwan
关键词
computer simulation; cognitive load; cognitive efficiency; multimedia learning; HIGH-SCHOOL-STUDENTS; COMPUTER-SIMULATIONS; ELECTROCHEMISTRY; MISCONCEPTIONS; ANIMATIONS; EFFICIENCY; EXPERTISE; FLOW;
D O I
10.1080/10494820903356940
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
This study investigated how the format of verbal instructions in computer simulations and prior knowledge (PK) affected 8th graders' cognitive load (CL) level and achievement in a multimedia learning environment. Although PK was not found to significantly affect student performance and CL level, instruction format was found to impact both. Students who used narrative simulations were found to have a greater CL but also to perform better than those using simulations with on-screen text instructions. However, no significant differences were found between the cognitive efficiency of the two groups. The difficulty of the subject matter and limitations in students' prior content-related knowledge may have increased the intrinsic CL, such that students had difficulty in interpreting the content even if their PK was relatively high. The narrative instructions were more likely than the on-screen text information to reduce the extraneous CL and promote understanding of content. A new measure of cognitive processing is needed to identify the types of CL involved in e-learning and determine the properties of adequate e-learning materials. Finally, the findings of the study are discussed and suggestions for future studies and instructional design are provided.
引用
收藏
页码:433 / 446
页数:14
相关论文
共 48 条
[1]  
[Anonymous], 1986, Induction: Processes of inference, learning, and discovery
[2]  
[Anonymous], 1988, Explaining science: a cognitive approach
[3]  
[Anonymous], 2008, E LEARNING SCI INSTR
[4]  
[Anonymous], 1995, COMPUTER SUPPORTED C
[5]  
[Anonymous], 1994, Learn. Instr., DOI [10.1016/0959-4752, DOI 10.1016/0959-4752, DOI 10.1016/0959-4752(94)90003-5]
[6]   BrainSpace:: a virtual environment for collaboration and innovation [J].
Buesser, M ;
Ninck, A .
INTERNATIONAL JOURNAL OF TECHNOLOGY MANAGEMENT, 2004, 28 (7-8) :702-713
[7]   Developing and using conceptual computer animations for chemistry instruction [J].
Burke, KA ;
Greenbowe, TJ ;
Windschitl, MA .
JOURNAL OF CHEMICAL EDUCATION, 1998, 75 (12) :1658-1661
[8]  
Carrol J.M., 1987, MENTAL MODEL HUMAN C
[9]  
Cowan J, 2005, BRIT J EDUC TECHNOL, V36, P1089
[10]   Computer simulations - Technological advances in inquiry learning [J].
de Jong, T .
SCIENCE, 2006, 312 (5773) :532-533