Tu dresden psychologie des lehrens und lernens 3

Our mission is focused on learning tasks and feedback. The core competencies of the Department of the Psychology of Learning and Instruction are rooted in the domains of smart learning, teaching, and instruction — with a particular research focus on learning tasks and feedback. We support educators in the professional implementation of learning tasks and feedback.

We assist learners in the most effective and efficient utilization of learning tasks and feedback for their own study efforts. In addition, we contribute to a continuous optimization of learning materials in educational contexts. Smart teaching means that educational agents designs learning environments in such a way that they encourage the active construction and communication of knowledge.

Central focus points of our research are task, error, and feedback culture. Smart learners utilize learning materials actively and with a high degree of reflection, and they are able to regulate their own learning process effectively and independently. Core research interests of the department in the domain of smart learning are: cognitively activating learning tasks, motivation, metacognition, and learning from mistakes.

Smart instruction refers to the utilization and application of empirical findings in the domain of instructional psychology, in order to design and implement optimized learning enviornments. Core research interests of the department in the domain of smart instruction are: generative learning activities, innovative instructional design, and feedback strategies.

Knowledge and competence acquisition in a modern information and knowledge society require lifelong learning in terms of an active construction and communication of knowledge. Smart teaching and instruction relate to the idea that teachers and instructional designers should be capable of designing learning environments in ways which encourage an active construction and communication of knowledge.

Smart learners are are sought to make active and reflected use of such learning environments, while regulating their own learning process successfully and effectively. Current metanalyses regarding the qualitative factors of learning and instruction e.

Zentrale Themen sind Motivation, Gedächtnisprozesse und kognitive Lernstrategien. Die TU Dresden setzt auf evidenzbasierte Lehrmethoden für nachhaltiges Lernen.

Hattie, demonstrate that feedback, as well as interactive learning tasks, rank among the most influential factors that promote learning. We are therefore committed to the research, implementation, and empirical validation of the effects of learning tasks and feedback, as well as the related boundary conditions, in three different research areas:.

Professionalization of educational agents: How can educators support learners in utilizing learning tasks and feedback in ways that are beneficial for learning and motivation? Promotion of an active and reflected use of learning materials: How can learners be supported in an optimal planning, implementation, and evaluation of learning activites? Which role do learning tasks and feedback play?

Design of innovative learning environments. How do learning tasks and feedback need to be designed in order to ensure an active and constructive engagement with the learning materials? Skip to main navigation Skip to secondary navigation Skip to search Skip to content. Smart Teaching, Learning and Instruction Our mission is focused on learning tasks and feedback.

Our Research Perspectives. Read more Professionalization of Educational Agents. Promoting the Active, Reflective Use of Learning Materials Smart learners utilize learning materials actively and with a high degree of reflection, and they are able to regulate their own learning process effectively and independently.

Read more Promoting the Active, Reflective Use of Learning Materials. Read more Design of Innovative Learning Enviornments. Smart Teaching, Learning and Instruction Smart Teaching, Learning and Instruction Knowledge and competence acquisition in a modern information and knowledge society require lifelong learning in terms of an active construction and communication of knowledge.

We are therefore committed to the research, implementation, and empirical validation of the effects of learning tasks and feedback, as well as the related boundary conditions, in three different research areas: 1.