Supporting Coherence Formation in Learning from Multiple Representations

نویسنده

  • Tina Seufert
چکیده

Multimedia learning environments combine multiple forms of representations like texts, static and animated pictures or graphs. Knowledge acquisition from multiple representations requires that learner create referential connections between corresponding elements and corresponding structures in different representations. As this process is usually difficult, learners frequently fail to construct coherent mental representations and, thus, do not sufficiently understand the subject matter. This paper analyzes the effects of different kinds of instructional help on the process of coherence formation from multiple representations by learners with different prior knowledge. Three groups of university students with different domain-specific knowledge had to learn a complex subject matter from chemistry using six different forms of representation. In addition, a first group received directive help for coherence formation. A second group received non-directive help, and a third group received no instructional help. Results indicate that directive help is effective for recall performance because of its summarizing and repeating function. Furthermore learners with different levels of prior knowledge show different reactions when help is given. For learners with insufficient prior knowledge help is not helpful or in case of recall performance even harmful. Learners with a medium level of prior knowledge can increase especially their comprehension performance when help is offered whereas learners with too much prior knowledge seem not to be affected from help. Theoretical background Multiple representations can serve many functions for learning. First, multiple representations may complement each other with regard to their content, their computational efficiency and with regard to learner characteristics and preferences. A second function is that multiple representations may constraint the interpretation of another representation (Ainsworth, 1999). The combination of representations enables learners to deal with the material from different perspectives and with different strategies, as in the case of dynamically linked learning environments, where for example an exchange of variables in a formula is directly displayed as an exchange of graphs. The manipulation of two different representational formats supports two different ways of insight to the same learning content and may have synergetic effects on the construction of coherent knowledge structures. However, this synergy does not emerge per se. Learners must interconnect the external representations and actively construct a coherent mental representation in order to benefit from the complementing and constraining functions of multiple representations. Many studies have shown that learners often do not use multiple representations effectively (van Someren, Reimann, Boshuizen & deJong, 1998). Especially learners with low prior knowledge often have problems with the co-ordination and integration of multiple representations (Yersuhalmy, 1991; Kozma & Russell, 1996). They do not use different representations but rather concentrate only on one representation, often the more familiar or concrete one (Scanlon, 1998; Tabachnek & Simon, 1998; Cox & Brna, 1995). These learners only switch between representations in the case of problems in understanding the actually employed representation (Tabachnek & Simon, 1998). These findings indicate that learners should get support in their coherence formation process in order to benefit from multiple representations. As coherence formation requires that the learners create referential connections between corresponding elements and corresponding structures in different representations, the notion of structure mapping can be used as a conceptual tool to analyze this process (Gentner & Markmann, 1997). If a learner is offered a text and a picture, he or she has to understand the information from both sources. In text comprehension, this includes searching for relevant elements and identifying the relevant relations between those elements within the text. In picture comprehension, a

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Declarative memory consolidation: mechanisms acting during human sleep.

Of late, an increasing number of studies have shown a strong relationship between sleep and memory. Here we summarize a series of our own studies in humans supporting a beneficial influence of slow-wave sleep (SWS) on declarative memory formation, and try to identify some mechanisms that might underlie this influence. Specifically, these experiments show that declarative memory benefits mainly ...

متن کامل

Encouraging the Active Integration of Information During Learning with Multiple and Interactive Representations

Computer-based learning environments commonly comprise various linguistic as well as static and dynamic pictorial representations, frequently combined with the possibility to modify them interactively. While multiple and interactive external representations have the potential to improve learning in specific ways, they also place specific demands on learners. For instance, learners have to proce...

متن کامل

DeFT: A conceptual framework for considering learning with multiple representations

Multiple (external) representations can provide unique benefits when people are learning complex new ideas. Unfortunately, many studies have shown this promise is not always achieved. The DeFT (Design, Functions, Tasks) framework for learning with multiple representations integrates research on learning, the cognitive science of representation and constructivist theories of education. It propos...

متن کامل

Memory Based Online Learning of Deep Representations from Video Streams

We present a novel online unsupervised method for face identity learning from video streams. The method exploits deep face descriptors together with a memory based learning mechanism that takes advantage of the temporal coherence of visual data. Specifically, we introduce a discriminative feature matching solution based on Reverse Nearest Neighbour and a feature forgetting strategy that detect ...

متن کامل

A Novel Face Detection Method Based on Over-complete Incoherent Dictionary Learning

In this paper, face detection problem is considered using the concepts of compressive sensing technique. This technique includes dictionary learning procedure and sparse coding method to represent the structural content of input images. In the proposed method, dictionaries are learned in such a way that the trained models have the least degree of coherence to each other. The novelty of the prop...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2002