Visualization is an essential skill for all students and biochemists studying and researching the molecular and cellular biosciences. In this study, we discuss the nature and importance of visualization in biochemistry education and argue that students should be explicitly taught visual literacy and the skills for using visualization tools as essential components of all biochemistry curricula. We suggest that, at present, very little pedagogical attention has been given to this vital component of biochemistry education, although a large diversity of static, dynamic, and multimedia visual displays continues to flood modern educational resources at an exponential rate. Based on selected research findings from other science education domains and our own research experience in biochemistry education, 10 fundamental guidelines are proposed for the promotion of visualization and visual literacy among students studying in the molecular and cellular biosciences.

This commentary expands the notion that models and modelling can be used as a basis to foster an integrated and authentic STEM education and STEM literacy. The aim is to synthesize key publications that document relationships between authenticity, models and modelling, and STEM education. The implications of the synthesis are as follows: authenticity must be viewed as a cornerstone of STEM literacy; models and modelling processes can bridge the gap between STEM disciplines through authentic practices; models and modelling should be used as a means to promote STEM literacy and the transfer of knowledge and skills between contexts, both in and out of the STEM disciplines; modelling activities can serve as a meaningful route toward authentic STEM education; teaching authentic modelling processes must be rooted in explicit and tested frameworks that are based on the practice of the STEM disciplines; and, authentic STEM education should be driven by developing interaction between STEM subjects in parallel with maintaining the integrity of each subject. If this vision is to be reinforced, it is of utmost importance that implementing any model-based authentic educational activities are underpinned by evidence-based frameworks and recommendations for teaching practice. It is therefore imperative that intended model-based pedagogies for STEM education classrooms are further researched, in order to contribute to an integrated STEM literacy.

The aim of this research was to develop a model of factors affecting students’ ability to interpret external representations (ERs) in biochemistry. The study was qualitative in design and was guided by the modelling framework of Justi and Gilbert. Application of the process outlined by the framework, and consultation with relevant literature, led to the expression of a Venn model and to the formulation of operational definitions for seven component factors of the model; namely, the conceptual (C), reasoning (R), representation mode (M), reasoning‐mode (R‐M), reasoning‐conceptual (R‐C), conceptual‐mode (C‐M), and conceptual‐reasoning‐mode (C‐R‐M) factors. To validate the model, nine students were interviewed using a specially designed three‐phase single interview technique to investigate their interpretation of three ERs, representing antibody–antigen interaction. The data were analysed by induction, where response patterns emerged naturally rather than being predisposed. The results verified the validity of the expressed model and its component factors. We suggest that the model has a range of potential applications, including as a tool for framing researchers’ thinking about students’ difficulties with, and interpretation of, scientific ERs, and for the design of strategies to improve learning with ERs.

The availability of digital tablets in preschools has increased significantly in recent years. Literature suggests that these tools can enhance students’ literacy and collaborative skills. As society becomes increasingly digitized, preschool curriculum reform also emphasises the subjects of technology and science as priority areas of learning. Teachers’ knowledge and experiences are of utmost importance in carrying out this mandate. Few studies have explored the use of digital tablets to teach preschool technology and science in Sweden, and there is an urgent need to ascertain the role of digital aids as teaching tools. This survey study seeks to determine how digital tablets are used to support preschool children’s learning in general, and with respect to technology education. Preschool educators (n = 327) across Sweden responded to an online survey consisting of 20 closed and 6 open items that probed the use of digital tablets. Survey results revealed a high degree of engagement with digital tablets in preschools, with activities directed toward various subject-related, social and generic skills. Programming, invention, construction and creation, problem-solving, and design emerged saliently as tablet activities in technology subject areas. Opportunities for providing meaningful learning tasks and digital adaptability were seen as pedagogical benefits of using tablets, but increasing expectations to integrate tablet activities with an accompanying lack of digital skills were expressed as limitations. Teachers’ recommendations for future tablet use included defining clearer curriculum guidelines for tablet implementation and adequate training for acquiring digital competence.

External representations (ERs), such as diagrams, animations, and dynamic models are vital tools for communicating and constructing knowledge in biochemistry. To build a meaningful understanding of structure, function, and process, it is essential that students become visually literate by mastering key cognitive skills that are essential for interpreting and visualizing ERs. In this article, first we describe a model of seven factors influencing students' ability to learn from ERs. Second, we use this model and relevant literature to identify eight cognitive skills central to visual literacy in biochemistry. Third, we present simple examples of tasks as a foundation for designing more sophisticated and complex items for assessing and developing students' visual literacy. We conclude that visual literacy is fundamental to the development of sound conceptual understanding and it is crucial to develop visual skills in parallel with meaningful learning outcomes in all biochemistry curricula.

Applying artificial intelligence (AI) to support science learning is a prominent aspect of the digital education revolution. This study investigates students’ interaction and learning with an AI book, which enables the inputting of questions and receiving of suggested questions to understand biology, in comparison with a traditional E-book. Students (n = 16) in a tertiary biology course engaged with the topics of energy in cells and cell signaling. The AI book group (n = 6) interacted with the AI book first followed by the E-book, while the E-book group (n = 10) did so in reverse. Students responded to pre-/posttests and to cognitive load, motivation, and usability questionnaires; and three students were interviewed. All interactions with the books were automatically logged. Results revealed a learning gain and a similar pattern of feature use across both books. Nevertheless, asking questions with the AI book was associated with higher retention and correlated positively with viewing visual representations more often. Students with a higher intrinsic motivation to know and to experience stimulation perceived book usability more favorably. Interviews revealed that posing and receiving suggested questions was helpful, while ideas for future development included more personalized feedback. Future research shall explore how learning can be benefitted with the AI-enriched book.