Principles for managing essential processing in multimedia learning: Segmenting, pre-training, and modality principles.

The split-attention principle states that in the design of instruction, including multimedia instruction, it is important to avoid materials that require learners to split their attention between, and mentally integrate, multiple sources of information. The sources of information should be both physically and temporally integrated in order to reduce unnecessary search for referents and so reduce extraneous cognitive load. Whether sources of information are intelligible in isolation, and whether the information is high in element interactivity, depends not only on the instructional material, but also on learner characteristics. Cognitive load theory, which gave rise to the split-attention principle, which is based on an understanding of human cognitive architecture, especially the relations between working and long term memory, provides theory-based and experimentally tested instructional guidelines. Those guidelines that are associated with the split-attention effect and that have been discussed in this chapter have the potential to substantially improve multimedia instruction.

[1]  R. Mayer,et al.  Learning Science in Virtual Reality Multimedia Environments: Role of Methods and Media , 2002 .

[2]  Paul A. Kirschner,et al.  Just-in-time information presentation: Improving learning a troubleshooting skill. , 2006 .

[3]  Liesbeth Kester,et al.  Timing of Information Presentation in Learning Statistics , 2004 .

[4]  Jacob Cohen Statistical Power Analysis for the Behavioral Sciences , 1969, The SAGE Encyclopedia of Research Design.

[5]  Harold F. O'Neil,et al.  Aircrew Training and Assessment , 2000 .

[6]  D. Leutner,et al.  Direct Measurement of Cognitive Load in Multimedia Learning , 2003 .

[7]  Paul Ayres Impact of Reducing Intrinsic Cognitive Load on Learning in a Mathematical Domain. , 2006 .

[8]  R. Mayer,et al.  A Split-Attention Effect in Multimedia Learning: Evidence for Dual Processing Systems in Working Memory , 1998 .

[9]  Scotty D. Craig,et al.  Animated Pedagogical Agents in Multimedia Educational Environments: Effects of Agent Properties, Picture Features, and Redundancy , 2002 .

[10]  Slava Kalyuga,et al.  Managing split-attention and redundancy in multimedia instruction , 1999 .

[11]  P. Chandler,et al.  Assimilating complex information , 2002 .

[12]  Patricia D. Mautone,et al.  Pictorial aids for learning by doing in a multimedia geology simulation game. , 2002 .

[13]  Paul A. Kirschner,et al.  Information presentation and troubleshooting in electrical circuits , 2004 .

[14]  Richard E. Mayer,et al.  Multimedia learning in an interactive self-explaining environment: What works in the design of agent , 2003 .

[15]  Slava Kalyuga,et al.  Incorporating Learner Experience into the Design of Multimedia Instruction. , 2000 .

[16]  Sharon K Tindall-Ford,et al.  When two sensory modes are better than one , 1997 .

[17]  H. Tabbers,et al.  Multimedia instructions and cognitive load theory: effects of modality and cueing. , 2004, The British journal of educational psychology.

[18]  John Sweller,et al.  The impact of sequencing and prior knowledge on learning mathematics through spreadsheet applications , 2005 .

[19]  R. Catrambone,et al.  Can learning from molar and modular worked examples be enhanced by providing instructional explanations and prompting self-explanations? * , 2006 .

[20]  Jean-Michel Boucheix,et al.  What animated illustrations conditions can improve technical document comprehension in young students? Format, signaling and control of the presentation , 2005 .

[21]  Richard E. Mayer,et al.  Multimedia Learning , 2001, Visible Learning Guide to Student Achievement.

[22]  P. Chandler,et al.  The Role of Visual Indicators in Dual Sensory Mode Instruction , 1997 .

[23]  R. Mayer,et al.  Nine Ways to Reduce Cognitive Load in Multimedia Learning , 2003 .

[24]  R. Mayer,et al.  Multimedia Learning: The Promise of Multimedia Learning , 2001 .

[25]  F. Paas,et al.  Cognitive Load Measurement as a Means to Advance Cognitive Load Theory , 2003 .

[26]  R. Mayer,et al.  When learning is just a click away: Does simple user interaction foster deeper understanding of multimedia messages? , 2001 .

[27]  Liesbeth Kester,et al.  Just-in-time, schematic supportive information presentation during cognitive skill acquisition , 2006, Comput. Hum. Behav..

[28]  J. Sweller,et al.  Reducing cognitive load by mixing auditory and visual presentation modes , 1995 .

[29]  B. Homer,et al.  Optimizing cognitive load for learning from computer-based science simulations , 2006 .

[30]  R. Mayer,et al.  Cognitive Principles of Multimedia Learning: The Role of Modality and Contiguity , 1999 .

[31]  P. Chandler,et al.  When auditory presentations should and should not be a component of multimedia instruction , 2003 .

[32]  Richard E. Mayer,et al.  Fostering understanding of multimedia messages through pre-training: evidence for a two-stage theory of mental model construction. , 2002 .

[33]  Richard E. Mayer,et al.  Can you repeat that? Qualitative effects of repetition and advance organizers on learning from science prose. , 1983 .

[34]  James C. Lester,et al.  The Case for Social Agency in Computer-Based Teaching: Do Students Learn More Deeply When They Interact With Animated Pedagogical Agents? , 2001 .

[35]  Paul Ginns Meta-Analysis of the Modality Effect. , 2005 .