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.

Game-based learning is becoming increasingly popular in education. The playful experience especially promises a high degree of students’ motivation. In this research, we examine the influence of sequential scaffolding within a digital educational escape room game. Escape rooms are usually games where players have to escape from a room within a given time limit by completing different tasks and quests. Therefore, we developed an educational virtual escape room for biology classes, focusing on the topic of sex education. In an experiment, we modified this learning environment and developed two different conditions: in one escape room, scaffolding was implemented using sequential learning aids; in the other escape room, which was assigned to the control group, no additional learner support was provided. The main objective of this quantitative research is to measure the escape room’s impact on learning and cognitive load. In addition, motivation, flow experience and experience of immersion are analyzed. A comparison between the two escape rooms shows that additional scaffolding does not significantly increase cognitive load or have any effect on learning. Results show that motivation and knowledge acquisition can be successfully supported by using game-based learning with escape rooms.

Until now, TPACK has mostly been measured by subject-unspecific self-report measures. In contrast, this study introduces and analyzes an objective and biology-specific performance assessment of the four T-dimensions of TPACK. This instrument was used in combination with a biology-specific self-report measure to examine 206 biology teacher students at an Austrian university. Using two test instruments to measure the same construct allows direct comparison and increases validity. Structural equation models were calculated to analyze and compare the internal structure of the four T-dimensions within the two instruments. Although different test formats were used, for which the dimensions showed moderate correlations, the data for both test formats showed a similar internal structure and support a transformative view due to lack of direct influence of technological knowledge (TK) on TPACK.

Digital technologies have the potential to increase the quality of instruction; however, using digital technologies does not necessarily guarantee high-quality teaching. Therefore, teachers need specific professional knowledge on how to use and implement digital technologies. Moreover, teachers need to know how beliefs about learning with digital technologies impact their teaching. Usually, knowledge and beliefs are assessed via self-report measures and in a subject-unspecific and isolated manner. The present study assesses biology-specific professional knowledge on the use of digital technologies (self-report and performance assessed) and beliefs together. Furthermore, these constructs were related to the quality of lesson plans on honeybees and analysed. Eighty-two biology teacher students from an Austrian university participated in the study. A path model revealed that self-assessed professional knowledge on the use of digital technologies was not a significant predictor of lesson planning quality. In contrast, performance-assessed knowledge and–to some extent–beliefs are significant predictors of the quality of lesson plans with technology integration. Thus, self-report measures on their own do not sufficiently predict the ability to engage in high-quality technology integration in the classroom.

Augmented Reality (AR) has become an emerging educational technology in classroom practice and science education. While most research and contemporary meta-analyses reveal benefits with regard to knowledge acquisition and motivation of Augmented Reality–based learning environments, most of the studies lack a clear and fair control condition. In this research, we compared an AR-based learning environment with a paper-based learning environment for self-directed learning about the human digestive system. In an experiment, we examined the effects of these two conditions for knowledge acquisition, cognitive load, and experience of flow and immersion. Results reveal significantly higher outcomes in favor of the text-based instruction with regard to conceptual domain knowledge and mental representation of the human digestive system and its involved organs. Positive effects of the AR learning environment are limited to a higher experience of immersion.