[This paper is part of the Focused Collection in Investigating and Improving Quantum Education through Research.] The present review intends to show the current state of teaching quantum-related content, to analyze and compare its learning efficiency, and to give a systemized overview of quantum-educational activities in the last years. We focus on teaching and learning elements, their innovative tools, and process-oriented studies that are empirically validated. In terms of content, we mainly concentrate on aspects of modern quantum technology. The final dataset for our analysis and synthesis included 50 studies published since 2017 and until the follow-up survey in February 2024. We have found that most of the teaching strategies described and investigated are in the field of quantum mechanics and are designed to provide an introduction to the rather broad and differentiated topic of quantum science. Studies specifically addressing mathematical concepts can exclusively be found for the target group of university students. Visualizing ideas or innovative social interventions to improve quantum learning is mainly found in schools while only a few approaches for further education show validated results. Tools most often examined in the studies reported were of digital nature, though some experiment-focused learning environments were also evaluated. Published by the American Physical Society 2024

This article presents a review of research on smartphone usage in educational science settings published between January 2015 and August 2022, and aims to provide an overview of the constructs evaluated and to identify potential gaps in current research for researchers working on this topic. Specifically, the search for publications in the relevant years was narrowed down to such studies that provided empirical evidence for the impact of smartphone usage on teaching and learning in natural science education. The databases used for the search were ERIC, Scopus, and Web of Science. In total, 100 articles were surveyed. The study findings were categorized regarding the type of smartphone usage, as well as the type of educational institution and constructs investigated. Overall, the results from this review show that smartphone usage in educational science environments has the potential for rather positive effects, such as an increase in learning achievements or an increase in motivation, and smartphone usage rarely leads to detrimental effects. Despite the substantial amount of studies to date, more research in these areas would allow for more generalized statistical results and analyses and is therefore desirable.

The field of Quantum Information Science and Technology (QIST) is booming. Due to this, many new educational courses and university programs are needed in order to prepare a workforce for the developing industry. Owing to its specialist nature, teaching approaches in this field can easily become disconnected from the substantial degree of science education research which aims to support the best approaches to teaching in Science, Technology, Engineering and Mathematics fields. In order to connect these two communities with a pragmatic and repeatable methodology, we have synthesised this educational research into a decision-tree based theoretical model for the transformation of QIST curricula, intended to provide a didactical perspective for practitioners. The Quantum Curriculum Transformation Framework consists of four steps: (1) choose a topic, (2) choose one or more targeted skills, (3) choose a learning goal and (4) choose a teaching approach that achieves this goal. We show how this can be done using an example curriculum and more specifically quantum teleportation as a basic concept of quantum communication within this curriculum. By approaching curriculum creation and transformation in this way, educational goals and outcomes are more clearly defined which is in the interest of the individual and the industry alike. The framework is intended to structure the narrative of QIST teaching, and with future testing and refinement it will form a basis for further research in the didactics of QIST.

For nearly two decades, augmented reality (AR) has found diverse applications in education, particularly in science education, where its efficacy has been supported by relevant theories and many empirical studies. However, previous studies have revealed the following research deficit: While AR technology appears to influence learning-related variables, at the time of this study only few research on the use of AR glasses in physics, a discipline for which this technology seems particularly promising in the context of laboratory experiments, has been found. Thus, the present study uses an experimental comparison group design to investigate the question of how the use of AR glasses in a physics laboratory experiment (compared to in a learning setting without AR) influences students’ motivation to learn, their cognitive load during the learning process and their learning achievement. The study (sample size N = 75) investigated the impact of AR glasses in a physics laboratory experiment on optical polarization. Results align with prior research, indicating heightened motivation among learners using AR applications. However, the absence of a significant difference in cognitive load between AR and non-AR learners was unexpected. Despite expectations based on spatial contiguity, learners with AR showed no advantage in learning achievement, challenging existing meta-analyses in physics education. These findings suggest a need to shift focus from surface features, like specific AR technology, to the content design of AR applications. Future studies should analyze the deep structure of AR applications, identifying features conducive to learning.

An easy circuit for measuring the power of a solar panel in physics classroom by using the microcontroller Arduino will be introduced in this article. The measured data is transferred via Bluetooth to the smartphone app ‘phyphox’ where it is displayed graphically. The circuitry enables measuring the power of a solar panel in different situations of light intensity. Several model experiments for students will be described.