Digital Study Assistants (DSA) are an emerging type of software that combines web-based software architectures, various data sources, and algorithms from artificial intelligence (AI) to assist learners in improving their learning-related behaviors. In this paper, we summarize the implementation and results of a field study with a DSA for…

The paper addresses concept formation processes of students in the field of geometry. More precisely, the paper deals with the questions of what knowledge do students activate about triangles in different contexts with different (digital) tools and furthermore what content-related meaning do they give to the concept of triangles? Methodologically,…

This paper presents a fine-grained process analysis of 22 students in a classroom-based learning setting. The students engaged (and failed) in problem-solving attempts prior to instruction (i.e., the Productive-Failure approach). We used the HeuristicsMiner algorithm to analyze the data of a quasi-experimental study. The applied algorithm allowed…

Rapid developments in artificial intelligence (AI) require dynamic adaptation in education to integrate new technologies timely and sustainably. In particular, the rise of generative AI requires leadership to implement it in a meaningful way for teaching and learning. School leaders have a special role to play in driving digital transformation.…

In the paper a software solution is presented for the generation of instances of exercises. The focus is on education in mathematics but the approach can be adopted in other fields such as computer science and natural science. The present solution uses the R environment for the generation process and LaTeX for the content presentation. In the…

We suggest that complex tasks can be introduced to learners as early as primary school level with the help of digital media in the form of different apps. As a theoretical basis, we will first outline the principles of teaching English in (German) primary schools. Secondly, we will look at the framework of Task-Based Language Teaching (TBLT)…

This research investigated how the bug tracker database of the Virtual Learning Environment (VLE) Moodle is developed as an application of crowd work. The bug tracker is used by software developers, who write and maintain Moodle's code, but also by a wider public world of ordinary Moodle users who can report bugs. Despite many studies of the…

Purpose: Free and open-source software (FOSS) has been used worldwide because of the advantages of user control, cost-saving, flexibility, openness, freedom, more security and better stability. The purpose of this study is to explore the status quo of educational application of FOSS and the trends from international perspectives and its…

Humanoid robots are gradually becoming part of everyday life as well as education. Virtual agents have demonstrated their benefits for years, and experts expect similar positive effects from the use of humanoid robots in education. Project H.E.A.R.T. (Humanoid Emotional Assistant Robots in Teaching), from Philipps-University Marburg, has developed…

Theoretical background: Learning in virtual realities (VR) has become increasingly important. In this context, VR appears to be particularly conducive to affective learning objectives, such as perspective-taking in VR actors. Previous research has often focused on investigating cause-effect relationships that focus on the direct effects of…

This paper reports on a study investigating the use of digital devices by language students at universities in New Zealand, Sweden and Germany. The study also examines the use of social media for learning a foreign language in an institutional context, using survey results from language students in the three countries. Based on an online survey…

Purpose: This purpose of this paper is to report on the development of an evidence-informed framework created to facilitate the formulation of generative artificial intelligence (GenAI) academic integrity policy responses for English medium instruction (EMI) higher education, responding to both the bespoke challenges for the sector and…

Collaborative online learning (COL) has been associated with positive outcomes, such as critical thinking, shared problem-solving skills, and deep learning. Such outcomes require pedagogies that consider students' backgrounds, including the cultural context in which they operate. This study reflects upon the role of culture through the lens of the…

Generative AI technologies such as large language models show novel potential to enhance educational research. For example, generative large language models were shown to be capable of solving quantitative reasoning tasks in physics and concept tests such as the Force Concept Inventory (FCI). Given the importance of such concept inventories for…

In three experiments, we used a masked prime in a verification task to investigate the processing stages occurring during multiplication fact retrieval. We aimed to investigate the retrieval process by overlapping its execution with the processing of a masked prime consisting of a number. Participants evaluated the correctness of multiplication…