For the planning and implementation of lessons with digital technologies, a subject-specific technology-related professional competence of teachers is of central importance. However, the competency frameworks developed so far remain in a general perspective and do not explicitly address subject-specific issues. Furthermore, digital competencies are predominantly measured with subject-unspecific self-assessment instruments, as subject-specific operationalizations for this area are not yet available in a differentiated form. In this article, the framework for Digital Competencies for Teaching in Science Education (DiKoLAN), a subject-specific framework for pre-service science teachers, is introduced, on the one hand, and, on the other hand, first results of a self-assessment tool based on the framework are described. DiKoLAN defines competency areas highly specific to science, as well as more general competency areas that include aspects common to all subjects. Each competency area is described by competency expectations, which, in turn, are structured with reference to the four technology-related dimensions of the TPACK framework (i.e., Technological and Pedagogical Content Knowledge) and three levels of performance (Name, Describe, Use/Apply). Derived from DiKoLAN, a corresponding self-assessment instrument (DiKoLAN-Grid) was developed and empirically tested for the two competency areas, (n = 118) and Information Search and Evaluation (n = 90), in biology student teachers. By means of path models, tendencies regarding structural correlations of the four components Special Tools (TK), Content-specific Context (TCK), Methods and Digitality (TPK), and Teaching (TPACK) are presented for both competency areas and discussed, as well as in comparison to previously conducted, subject-unspecific surveys.

Digitalization is a keyword in the discourse of educational science, but it is often linked to technological challenges, although digital changes occur throughout society. Therefore, STEM teachers are required to cope with technological changes in the subject, the increasing and diverse education and training technologies, and the ever-changing paths of information and communication of adolescents in their role as members of a changing society and culture. The TPACK-model focuses educators’ professional knowledge based on teachers’ expertise concerning technological knowledge per se and the pedagogy and content of their subjects. In contrast, knowledge relevant to daily life and social and cultural interaction beyond this is not clearly included in the TPACK-model at present. This article proposes supplementing the TPACK-model with the knowledge components of digital cultural transformations (digitality) and, therefore, extending the TPACK-model to a DPACK-model, where D stands for digitality. Therefore, digital transformation in STEM teaching requires additional professional knowledge considering the transformation of communication, mediatization and society. Through this expansion, the focus should also be directed on the necessity that children and young people in the digitally shaped world must also be able to critically reflect on the processes of change and shape them in an ethically responsible manner. For this reason, teachers require professional knowledge to reflect, analyze, use and shape the digital transformation, which is regularly demanded of them by national and international educational standards. As a foundation of STEM teachers’ education and training, an integrated model combining these facets of knowledge and skills is provided for discussion, and, as a result, quickly found its way into the educational policy guidelines and educational science discourses in Germany. In order to integrate the sociocultural consequences of digitalization into TPACK, this paper proposes a new hemisphere, sociocultural knowledge, which extends the existing TPACK components.

The importance of the transformation to a sustainable economy for the protection from global crises such as climate change is widely recognized. Sustainable entrepreneurs are considered to play a key role in this transformation process as they create innovative market solutions with ecological, social, and economic value. So far, there is no consensus on competences students need to solve sustainability challenges as sustainable entrepreneurs. The aim of this article is to identify competence frameworks that enable competence-oriented education of future sustainable entrepreneurs. An academic search engine and a bibliographic database were screened for documents written in English and published between January 2010 and November 2020 to identify the existing competence frameworks discussed in the current literature in the field of Sustainable Entrepreneurial Education (SEE). The review process led to a set of 65 empirical and nonempirical works on SEE. A computer-assisted qualitative data analysis was used for this review. The data analysis showed an increasing number of SEE articles published over the last decade mostly in scientific journals (69.2%). Fifty-six (86.2%) of publications related to tertiary education. The data analysis revealed three stand-alone competence frameworks for Sustainable Entrepreneurship (SE). The frameworks show an overlap in content but differences in terms of construction, validation, complexity. All competence frameworks were developed for use in higher education institutions, which necessitates adaptation for use in other educational institutions. The analysis of 28 SEE interventions identified in the literature provides information on the reception of the frameworks for competence-based teaching and assessment.

In the course of digitalization, new technologies and innovations are continuously introduced to the educational sector. For instance, augmented reality (AR) is increasingly applied in science teaching in both school and higher education. Combining real and virtual content potentially enhances interactivity and understanding of the learning process. This teaching and learning approach can positively impact various learning outcomes, such as learning gains and motivation. This paper aims to investigate the positive learning effects of AR using a game-based AR learning environment: “Beat the Beast”. In line with the concept of an education for sustainable development (ESD) topic, microplastics, this learning environment follows an interdisciplinary approach, combining the subjects of biology, chemistry, and engineering. To determine and distinguish the effects of implementing the technology AR in science learning environments as well as the principles of game-based learning, we contrasted the learning environment into two factors: one with AR and one without AR and the other with a game and without a game. A quasi-experimental design with 203 pre-service teachers of the first semester of all subjects was chosen to evaluate the four different types of settings with questionnaires on motivation, technology acceptance, user engagement, cognitive load, computer self-efficacy, knowledge, and ESD outcomes in higher education. Our research demonstrates that although augmented reality (AR) imposes a relatively elevated cognitive load, it does not negatively affect learning effects. In spite of the increased cognitive load, learners in AR settings do not exhibit lesser knowledge acquisition compared to those in alternative environments. Moreover, our investigation highlights AR’s potential to amplify motivation and user engagement. Contrary to expectations, in the context of the selected subject matter and target audience, game-based adaptations of the educational environment fail to enhance learning outcomes. These versions actually underperform compared to other formats in both motivational and engagement metrics.

Prospective teachers must acquire subject-specific digital competencies to design contemporary lessons and to promote digital competencies among students themselves. The DiKoLAN framework (Digital Competencies for Teaching in Science Education) describes basic digital competencies for the teaching profession in the natural sciences precisely for this purpose. In this article, we describe the development, implementation, and evaluation of a university course based on DiKoLAN which promotes the digital competencies of science teachers. As an example, the learning module Data Processing in Science Education is presented, and its effectiveness is investigated. For this purpose, we used a questionnaire developed by the Working Group Digital Core Competencies to measure self-efficacy, which can also be used in the future to promote digital competencies among pre-service teachers. The course evaluation showed a positive increase in the students’ self-efficacy expectations. Overall, the paper thus contributes to teacher education by using the course as a best-practice example—a blueprint for designing new courses and for implementing a test instrument for a valid evaluation.