The Multiple Representations lab investigates the information processes involved in learning with combined symbol systems, especially text-picture combinations, and how to provide instructional support for learners who engage in these processes.
Digital media are increasingly used in formal teaching and learning contexts such as schools and universities. The explanation of to-be-learned phenomena within these media takes place by using combinations of different representation formats such as texts, pictures, animations or simulations. The research group is engaged in researching these multi-representational learning environments.
Multiple representations can be conducive to learning for various reasons, but their effectiveness depends on certain processes. In particular, learners must link essential information from text and image in memory (cognitive processes). Particularly during longer learning episodes, there is also a need for self-regulation of the learning process. Learners must develop a correct assessment of their current state of knowledge, which, among other things, allows them to control future learning activities in such a way that any gaps in knowledge that may still exist can be eliminated (metacognitive processes). Accordingly, a first goal of the research group is the empirical description of cognitive and metacognitive processes in learning with multiple representations.
Learners often have difficulties in carrying out these cognitive and metacognitive learning processes. Therefore, another objective is to develop support measures. On the one hand, these are based on an extension of classical teaching-learning scenarios by further multi-representational media (e.g. virtual experiments). On the other hand, specific features of digital media are used to develop support measures for learning with multiple representations (e.g. adaptive feedback based on process data). Research in this area is therefore concerned with the digital augmentation of teaching and learning scenarios.
Deputy Head of Lab
+49 7071 979-341a.schueler@iwm-tuebingen.deTeam assistance
+49 7071 979-338p.ebert@iwm-tuebingen.deMultiple Representations
Duration 08/2020 - open
Adaptive learning systems should support learners by, e.g., personalized feedback. In this dissertation project, a tool is developed that automatically analyzes learners' written answers based on Natural Language Processing methods. This tool will then be implemented in a learning environment that provides automatic feedback adapted to the learners' answers. Subsequently, the impact of this feedback on performance and user acceptance will be investigated.
Go to projectMultiple Representations
Duration 12/2019 - open
In this project, metacognitive processes in learning and problem solving are investigated. Learners need to constantly regulate their learning process, i.e., they need to monitor and control the cognitive resources they use to accomplish the (learning) task. The adequate regulation of cognitive resources plays a central role in learning, which is why the results from this project are relevant, for instance, in school or university contexts.
Go to projectMultiple Representations
Duration 01/2021 - 12/2024
Often, information is conveyed through illustrated texts. While there are many models regarding the cognitive processes involved in reading, there is little research on how pictures influence these processes. By better understanding the cognitive processes that take place when reading illustrated text, it is possible to extend existing theories. This knowledge is relevant wherever learning through illustrated texts occurs e.g., in (higher) education.
Go to projectMultiple Representations
Duration 07/2016 - open
The Tübingen Digital Teaching Lab (TüDiLab) simulates a classroom equipped with up-to-date digital media and data collection instruments. The project has two aims: (1) practice-oriented professionalization of teachers related to their media competence in the context of the Tübingen School of Education, and (2) research on the effects of teaching with digital media.
Go to projectMultiple Representations
Duration 08/2017 - open
When searching for information on the Internet, one often comes across different, often contradictory explanations for the same phenomenon. This project investigates how reading different explanations for the same natural phenomenon affects recall performance and how sequence effects influence recall performance. The results from this project are relevant wherever information retrieval plays a role, for example, in school or university.
Go to projectMultiple Representations
Duration 01/2021 - 06/2024
Learning with texts and pictures, so-called multimedia material, plays a central role in different learning contexts (e.g. school). While the positive effect of text-picture combinations on learning success has been demonstrated frequently, the underlying cognitive processes have received less attention so far. Therefore, the project focuses on the cognitive processes in learning with text-picture combinations. We aim to further develop existing theories and to derive supportive measures for learners.
Go to projectMultiple Representations
Duration 01/2018 - open
Many people have misconceptions about scientific phenomena. Research shows that texts in which these misconceptions are explicitly addressed (refutational text) represent a possibility for long-term revision of misconceptions. This project investigates whether pictorial representations (self-generated drawings, pictures, videos) can further reinforce this positive effect. The results of this project are relevant wherever misconceptions play a role (e.g. school or university).
Go to projectMultiple Representations
Duration
Research on multimedia testing showed beneficial effects of (adding) pictures in test items. This research, how-ever, mainly focused on the item stem. Effects of multimedia in the response options has scarcely been exam-ined. Using a concept inventory on ray optics, we will examine the effect of presentation formats in item re-sponse options. Eye movement data will provide insight into underlying mechanisms of such effects. <br>
Go to projectArticles (peer-reviewed) | Books and book chapters | Proceedings and special issues | Research data | Software | Other publications
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