Effective teaching of science requires not only a broad spectrum of knowledge, but also the ability to attract students’ attention and stimulate their learning interest. Since the beginning of 21st century, VR/AR have been increasingly used in education to promote student learning and improve their motivation. This paper presents the results of a systematic review of 61 empirical studies that used VR/AR to improve K-12 science teaching or learning. Major findings included that there has been a growing number of research projects on VR/AR integration in K-12 science education, but studies pinpointed the technical affordances rather than the deep integration of AR/VR with science subject content. Also, while inquiry-based learning was most frequently adopted in reviewed studies, students were mainly guided to acquire scientific knowledge, instead of cultivating more advanced cognitive skills, such as critical thinking. Moreover, there were more low-end technologies used than high-end ones, demanding more affordable yet advanced solutions. Finally, the use of theoretical framework was not only diverse but also inconsistent, indicating a need to ground VR/AR-based science instruction upon solid theoretical paradigms that cater to this particular context.

Play is crucial to children’s development. With the prevalent use of digital technologies, children and young adults are seen playing games more often and longer on digital devices. How should teachers capitalize the advantages of games in class, without inducing more health risks or problems for children? To achieve this goal, teachers need empirical details and conclusive results in the application of game-based learning (GBL) in primary education, so that they can design GBL experiences that cater to the specific needs of pupils. The present paper provides a systematic review for 35 experimental studies that substantially integrated gaming elements in primary school lessons. Our major findings include that (1) most studies were published in technology-assisted learning journals, focusing on higher-grade students’ natural science learning, through one GBL lesson conducted within one week; (2) theoretical foundations were absent in the majority of studies, with the rest implicitly or explicitly drawing upon Constructivist premises; (3) adopted GBL technologies were mostly self-designed, and used for formal learning; (4) Gamification was the most frequently used game genre and Intellectual Problem-Solving was the top gaming element to be incorporated and (5) there were more positive outcomes than mixed findings and more cognitive results reported than affective or behavioral dimensions.

Since the outbreak of Covid-19, the Chinese government has issued strict policies for school operations. To meet the demands of normal school schedule while at home, teachers have been required to provide fully online classes regardless of their previous experience. Understanding and describing the authentic challenges teachers face during the wholly online learning and teaching period may not only allow stakeholders to make more informed decisions about subsequent practices, but also provide timely lessons for primary schools in other regions combating similar challenges. The present study was a phenomenological study, in which 26 Chinese primary school teachers were interviewed and provided photos that represented their typical online teaching experience. The essence of the study was “cautious adaptation,” and four themes were identified, including unpreparedness, concerns for at-risk students, constant change and diversity. Relevant issues and implications were discussed especially pertaining to technological innovation and advancement.

Cognitive offloading—delegating cognitive work to external tools—is basic to human cognition, but generative AI (GenAI) amplifies it radically: entire cognitive products can now be produced on request. This sharpens a question about agency over one’s own thinking: when cognition is habitually offloaded, does its product still feel like one’s own? We surveyed 239 pre-service teachers, operationalizing the felt loss of cognitive ownership as concern over the erosion of teaching-design subjectivity (TSC)—the metacognitive appraisal that AI-assisted work is not genuinely one’s own and that independent capacity is declining. Guided by the Interaction of Person-Affect-Cognition-Execution (I-PACE) model, we tested whether AI anxiety/fear of missing out (affective) and impulsivity (self-regulatory) relate to this concern through behavioral GenAI dependency—habitual offloading. In a structural equation model with bias-corrected bootstrapping, dependency strongly predicted TSC and partially mediated the effect of AI anxiety; impulsivity raised dependency but showed a suppression pattern (a positive indirect effect offset by a null total effect), and the model explained 35% of the variance in the concern. Habitual offloading—that is, GenAI dependency—rather than generic AI use, accompanies the metacognitive loss of cognitive ownership.