3D (4D) Space | Content, Complexity, Time

Cognitive Development Within a Three-Dimensional Space of Content, Complexity and Time
Stefan von Aufschnaiter and Claudia von Aufschnaiter
University of Bremen
Learners' cognitive development is mainly discussed with respect to the development of content dependent knowledge (conceptual change or growth). We suggest to take time and complexity into account, too, and to describe learning in all three dimensions. We will found these three dimensions of content, complexity, and time theoretically and show empirically where such framework will lead to. Our database are 27 students (nine groups of three students each) who work on physics tasks during three double lessons in a laboratory study. All activities are videodocumented and analysed in great detail.
Results show that students' meanings always refer to a narrow area of content, are developed bottom up with respect to complexity, and show time dependent dynamics in which 30 seconds and 5 minutes are important time scales.
Cognitive Development Within a Three-Dimensional Space of Content, Complexity and Time
Stefan von Aufschnaiter and Claudia von Aufschnaiter, University of Bremen
Subject
For more than 10 years we have been investigating the dynamics of individual cognitive processes. We videotape small groups of students acting or talking in real learning environments and analyse the videotapes carefully. For the interpretation of the empirical data, we have developed a neurobiologically oriented theoretical frame. Neurobiological orientation means that cognitive interpretations of students' actions or verbal descriptions should be consistent with the actual findings and interpretations of neuronal processes and structures (Greenfield 1998; Calvin 1997; Grossberg 1998; Roth, G. 1997).
Our theoretical frame deals with the context dependency of acting and thinking and is therefore similar to Roth's "situated cognition" perspective (Roth, W.-M. 1996; see also Clancey 1993). In addition, we believe that meanings (concepts) are always (in every situation) constructed anew. The dynamics of development of meanings thus depend on changes of context as well as on ontogenesis of the related cognitive structures. Learning (i.e. individual development of cognitive structures as a consequence of development of meaning) depends on matching the development of meaning to changes of situated context.
Apart from distinguishing consequently between cognitive structures ("memory") and the cognitive processes generated by these structures (construction of meanings) we also think that cognitive processes have a dynamics depending on time and complexity as well as a dynamics depending on content.

For the analysis of development of meaning and learning processes we therefore have to consider three dimensions:
    • the area of content that is developed by learners,
    • the level of complexity that is reached within single constructions of meaning,
    • the time a learner needs to reach this level in a specific situation.

1) Content: This dimension refers to the material taught in the classroom. The main question is what knowledge students need to have to deal adequately with specific material and what they can or have to learn while dealing with the learning environment.

Development in the dimension of content is therefore characterised by learners expanding their "available" knowledge.

2) Complexity: It is generally accepted that knowledge can be constructed and used with different degrees of complexity or abstraction. So far, however, it has hardly been studied, how differently complex knowledge of a given area of content can be described quantitatively and how differently advanced learners use knowledge of different complexity in varying circumstances. During the last 10 years the analysis of these questions has been our main focus. Based on Piaget's (cf. 1991) step theory and Powers's (1973) classification scheme for mental operations, we developed and probed a model for the quantitative description of the complexity of situated meanings (cf. v. Aufschnaiter & Welzel 1996, 1997a/b; Welzel 1997). One result of our research is that concepts must be described with respect to their complexity dependent dynamics.

Development in the dimension of complexity is characterised by learners expanding their "available" knowledge with respect to complexity.

3) Time: It is a common experience that the time needed to produce knowledge of a specific content with a specific complexity varies. In a lot of learning situations and especially in examinations learners need to produce knowledge in a minimal amount of time. Investigations about time needs for producing specific knowledge and what changes time dependent dynamics of knowledge production still have do be carried out.
Amongst others Damasio (1994) and Pöppel (cf. 1994) found out that the cognitive system has only 3 seconds available to produce single coherent meanings. This matches results about investigations of simple cognitive achievements that are clearly made in less than 3 seconds (cf. Anderson 1995).
If students are not able to produce knowledge of a specific content and complexity within 3 seconds (that means they are not sure about this fact) they only have the option to develop the necessary knowledge in a succession of meanings with respect to the essential content and complexity. Our empirical findings indicate that such developments take place on two time scales (cf. v. Aufschnaiter, C. 1999):
    • Around 5 minutes for working on a problem or task.
    • Around 30 seconds to test a possible solution to solve the problem or task successfully.

Development in the dimension of time is characterised by learners needing less time to develop their "available" knowledge with respect to content and complexity. Thereby they can generate knowledge of larger content width and/or higher complexity on a specific time scale.

We consider learning to be a process accompanying the cognitive processes described in 1)-3). This results in cognitive structures realising cognitive processes with broader content, higher complexity and reduced time needs. We expect learning to take place in small steps and predominantly at different "construction sites" within this three-dimensional space. For bigger (visible) learning progress interlocking augmentation in each of these dimensions (content, complexity, and time) may be essential. For the analysis of development of meaning and learning processes dynamics of all three dimensions have to be investigated in great detail.
Design, Procedure, and Data Analysis
During our presentation we want to present results of a laboratory study concerning the three dimensions of learning (content, complexity and time). In this study (which was funded by the German Science Foundation, DFG) we videotaped 9 groups each of three 11th grade students doing the same experimental tasks and explaining the results.
We had worked out 51 tasks which were written on index cards, with enough space for the students to write down their observations and explanations. The tasks were of increasing complicatedness and normally were handled in a fixed order. (Complicatedness of a task denotes the complexity of situated cognitions which is necessary for successfully solving this task.) A teacher was present but she did not give the students any hints concerning the tasks. However, at certain points (which had been planned in advance) she offered them additional information about physical laws of definitions, which were also written on index cards but did not have the form of tasks (we called these cards 'intervention cards').
On the average the students needed 180 minutes to solve the tasks, distributed over three sessions. We administrated questionnaires during these sessions and also undertook two extra sessions with concept maps and interviews but we will not talk about them in this presentation. The sessions were videotaped and transcribed and then we tried to reconstruct the students' ideas with respect to what diSessa and Sherin call "physical qualities" (diSessa & Sherin 1998; v. Aufschnaiter & Welzel 1996; 1997a/b; Welzel 1997).
Results
1. Area of content: Meanings are always constructed anew (with slightly changing content). We ascribe meanings that changed concerning the content if single actions are sequenced differently, if mimic and gesture of actions change clearly, and if words are combined differently in verbal and written expressions. With these distinctions we find that all 27 students each produce a large number of different meanings (ca. 150 to 250) for a single task. Individual students construct a large number of different meanings (from 500 to 1000) for all tasks combined. Only 16 words or word combinations are used more than ten times by individual students. We can show development of meanings concerning their content only with these words. We therefore cannot confirm the hypothesis that students "use" (stable) concepts for the construction of meanings.
2. Levels of complexity: While working on the tasks students first of all start on a relatively low level of complexity. They operate with or discuss about concrete objects and their features. During these operations an increasing number of contents are taken into account. After that students are able to ascribe common (invariant) properties to different objects or situations. In discussions with other students they can start to link such properties. Higher levels of complexity (the construction and combination of variable properties) are not reached by the students of our investigation.
3. Time scales: Students are only very seldom able to solve our tasks or instructions spontaneously (within 3 seconds). This does not even happen if successive tasks are very similar. If students start working on tasks or instructions (what they do for nearly 100% of tasks but only for about 50% of instructions), they often need several development of meanings (each within 30 seconds) with slightly different content and/or different levels of complexity to solve the task successfully. Unless students find a solution that is successful from their point of view, they stop working on tasks/instructions after approximately 5 minutes (or even less). Within such situations dissatisfaction is very often expressed explicitly.
General Interest
The presented investigation refers to a narrow subject. However, we have found similar results within other laboratory and field studies:
    • A fast access to information needs a high familiarity with this information in different contexts.
    • Students always work on narrow content areas.
    • Development of meanings start (nearly) always with manipulation of concrete objects (real or mental).
    • A lot of similar operations concerning the same content area are the prerequisite for the construction of invariant properties.
      • A connection of properties is only possible if every property can be constructed easily and quickly.
    • In all cases there are two limiting time scales:
- 30 seconds for the development of one way to solve the task and
- 5 minutes to work on a task.
From our point of view, the presented theoretical framework and results are important parameters for the usage of learning environments. We therefore suggest to analyse learning processes and learning environments critically under such perspectives.
3D (4D) Space | Content, Complexity, Time
  The area of content that is developed by learners,
    This dimension refers to the material taught in the classroom. The main question is what knowledge students need to have to deal adequately with specific material and what they can or have to learn while dealing with the learning environment.
    1. Area of content: Meanings are always constructed anew (with slightly changing content). We ascribe meanings that changed concerning the content if single actions are sequenced differently, if mimic and gesture of actions change clearly, and if words are combined differently in verbal and written expressions. With these distinctions we find that all 27 students each produce a large number of different meanings (ca. 150 to 250) for a single task. Individual students construct a large number of different meanings (from 500 to 1000) for all tasks combined. Only 16 words or word combinations are used more than ten times by individual students. We can show development of meanings concerning their content only with these words. We therefore cannot confirm the hypothesis that students "use" (stable) concepts for the construction of meanings.
    1. Area of content: Meanings are always constructed anew (with slightly changing content). We ascribe meanings that changed concerning the content if single actions are sequenced differently, if mimic and gesture of actions change clearly, and if words are combined differently in verbal and written expressions. With these distinctions we find that all 27 students each produce a large number of different meanings (ca. 150 to 250) for a single task. Individual students construct a large number of different meanings (from 500 to 1000) for all tasks combined. Only 16 words or word combinations are used more than ten times by individual students. We can show development of meanings concerning their content only with these words. We therefore cannot confirm the hypothesis that students "use" (stable) concepts for the construction of meanings.
  Development in the dimension of content is therefore characterised by learners expanding their "available" knowledge.
  The level of complexity that is reached within single constructions of meaning,
    It is generally accepted that knowledge can be constructed and used with different degrees of complexity or abstraction. So far, however, it has hardly been studied, how differently complex knowledge of a given area of content can be described quantitatively and how differently advanced learners use knowledge of different complexity in varying circumstances. During the last 10 years the analysis of these questions has been our main focus. Based on Piaget's (cf. 1991) step theory and Powers's (1973) classification scheme for mental operations, we developed and probed a model for the quantitative description of the complexity of situated meanings (cf. v. Aufschnaiter & Welzel 1996, 1997a/b; Welzel 1997). One result of our research is that concepts must be described with respect to their complexity dependent dynamics.
    2. Levels of complexity: While working on the tasks students first of all start on a relatively low level of complexity. They operate with or discuss about concrete objects and their features. During these operations an increasing number of contents are taken into account. After that students are able to ascribe common (invariant) properties to different objects or situations. In discussions with other students they can start to link such properties. Higher levels of complexity (the construction and combination of variable properties) are not reached by the students of our investigation.
    2. Levels of complexity: While working on the tasks students first of all start on a relatively low level of complexity. They operate with or discuss about concrete objects and their features. During these operations an increasing number of contents are taken into account. After that students are able to ascribe common (invariant) properties to different objects or situations. In discussions with other students they can start to link such properties. Higher levels of complexity (the construction and combination of variable properties) are not reached by the students of our investigation.
  Development in the dimension of complexity is characterised by learners expanding their "available" knowledge with respect to complexity.
  The time a learner needs to reach this level in a specific situation
    It is a common experience that the time needed to produce knowledge of a specific content with a specific complexity varies. In a lot of learning situations and especially in examinations learners need to produce knowledge in a minimal amount of time. Investigations about time needs for producing specific knowledge and what changes time dependent dynamics of knowledge production still have do be carried out.
    Amongst others Damasio (1994) and Pöppel (cf. 1994) found out that the cognitive system has only 3 seconds available to produce single coherent meanings. This matches results about investigations of simple cognitive achievements that are clearly made in less than 3 seconds (cf. Anderson 1995).
    If students are not able to produce knowledge of a specific content and complexity within 3 seconds (that means they are not sure about this fact) they only have the option to develop the necessary knowledge in a succession of meanings with respect to the essential content and complexity. Our empirical findings indicate that such developments take place on two time scales (cf. v. Aufschnaiter, C. 1999):
      Around 5 minutes for working on a problem or task.
      Around 30 seconds to test a possible solution to solve the problem or task successfully.
    3. Time scales: Students are only very seldom able to solve our tasks or instructions spontaneously (within 3 seconds). This does not even happen if successive tasks are very similar. If students start working on tasks or instructions (what they do for nearly 100% of tasks but only for about 50% of instructions), they often need several development of meanings (each within 30 seconds) with slightly different content and/or different levels of complexity to solve the task successfully. Unless students find a solution that is successful from their point of view, they stop working on tasks/instructions after approximately 5 minutes (or even less). Within such situations dissatisfaction is very often expressed explicitly.
    3. Time scales: Students are only very seldom able to solve our tasks or instructions spontaneously (within 3 seconds). This does not even happen if successive tasks are very similar. If students start working on tasks or instructions (what they do for nearly 100% of tasks but only for about 50% of instructions), they often need several development of meanings (each within 30 seconds) with slightly different content and/or different levels of complexity to solve the task successfully. Unless students find a solution that is successful from their point of view, they stop working on tasks/instructions after approximately 5 minutes (or even less). Within such situations dissatisfaction is very often expressed explicitly.