This study comprehensively analyses how AI tools scaffold and share metacognitive processes, thereby facilitating students’ learning in STEM classrooms through a mixed-method research synthesis combining bibliometric analysis and systematic review. Using a convergent parallel mixed-methods design, the study draws on 135 peer-reviewed articles published between 2005 and 2025 to map publication trends, author and journal productivity, keyword patterns, and theoretical frameworks. Data were retrieved from Scopus and Web of Science using structured Boolean searches and analysed using Biblioshiny and VOSviewer. Guided by PRISMA 2020 protocols, 24 studies were selected for in-depth qualitative review. Findings show that while most research remains grounded in human-centred conceptualisations of metacognition, there are emerging indications of posthumanist framings, where AI systems are positioned as co-regulators of learning. Tools like learning analytics, intelligent tutoring systems, and generative AI platforms have shifted the discourse from individual reflection to system-level regulation and distributed cognition. The study is anchored in Flavell’s theory of metacognition, General Systems Theory, and posthumanist perspectives to interpret this evolution. Educational implications highlight the need to reconceptualise pedagogical roles, integrate AI literacy in teacher preparation, and prioritise ethical, reflective AI design. The review provides a structured synthesis of theoretical, empirical, and conceptual trends, offering insights into how human–machine collaboration is reshaping learning by scaffolding and co-regulating students’ metacognitive development in STEM education.

The closing of schools due to Covid-19 has brought a dimension of uncertainty into STEM education. Despite the closing of schools due to the need to observe physical distancing, some schools have found ways to continue teaching and learning on virtual platforms enabled by increasingly pervasive fourth industrial revolution environments. In this study, the teaching of Ordinary level mathematics and science in pursuit of STEM education goals as enabled by the Internet of Things (IoT) in online classrooms was therefore, explored. Using an interpretive case study, relevant data were collected from two mathematics and three science teachers during semi-structured interviews. These participants communicated their experiences in transitioning from face-to-face to online classrooms as they worked to promote STEM education during the Covid-19 pandemic. The findings reveal teachers’ experiences of this transition and their selection of particular Web 2.0 tools to establish online classrooms. Notably, mobile instant messaging tools proved to be a popular option for being cheap, user-friendly, temporal, and multimodal. The findings also revealed that teachers struggled to adapt the hands-on activities to suit online teaching resulting in the use of teacher-centred approaches. Keywords: Covid-19, mathematics and science, online learning, STEM education, virtual platforms

Practical work is pivotal for the development of important skills inherent to science, technology, engineering, and mathematics (STEM) education. Through practical work, learners engage in skills that include critical thinking, problem-solving, and inquiry-based learning, which are important outcomes of STEM education. Given the rise in significance of remote learning as reinforced by the COVID-19 pandemic, there is a need to reimagine the facilitation of practical work for learners. This paper uses the preferred reporting items for systematic reviews and meta-analyses (PRISMA) qualitative research design, an interpretive paradigm, and a mix of connectivism and community of inquiry (CoI) frameworks to explore the facilitation of STEM education practical work in remote classrooms. A systematic meta‑analysis of purposively selected papers using the preferred items, techniques of identification, screening, eligibility, and inclusion, and published between 2017 and 2021, was conducted. The following key words were used to conduct a search using Google Scholar: STEM practical work + STEM education in remote classrooms + Practical work in remote classrooms + STEM education in online classrooms + STEM education in virtual classrooms + Virtual practical work + Teaching STEM and COVID-19 + Practical work and COVID-19. Fifty papers were identified, of which fifteen were included in the study. Thematic content analysis techniques were used to analyze the papers. Five strategies to facilitate STEM practical work in remote classrooms were identified and the findings point to the prospects and future directions of practices in facilitating practical work for learners remotely.

Inquiry-based practical work (IBPW) is one of the innovative instructional strategies in science education. Science teacher preparation programmes play a role in preparing preservice teachers to facilitate IBPW in classrooms located in different school settings, including multiple-deprived classrooms. The adverse conditions against the successful implementation of IBPW found in multiple-deprived classrooms provide problems that preservice teachers will have to solve in their future classrooms. It is against this background that this study explored how preservice science teachers used computational thinking as a problem-solving strategy when facilitating IBPW in multiple-deprived classrooms. Using a single-case exploratory study, the experiences of 16 preservice physical sciences teachers were elicited through lesson planning, simulated teaching, and reflection. The data collected were analysed through thematic-content-analysis techniques. Findings indicate how through the use of computational thinking, participants were able to solve problems that had the potential to inhibit the implementation of IBPW.

It is important for students to understand force concepts because they are central to learning physics and other sciences; however, students find it difficult to understand. There are calls for teachers to tap into their professional knowledge and develop beliefs that help them assist students comprehend the topic. To meet this challenge, teachers’ perceptions of their knowledge base for teaching force concepts should be probed because perceptions act as windows into teachers’ practices. This study, therefore, explored physics teachers’ perceptions of their knowledge base for teaching force concepts. Science teachers’ pedagogical content knowledge (PCK) frameworks were used to develop a questionnaire based on a 5-point Likert scale administered to 100 physical science teachers who were randomly selected from 54 schools in five districts in Lesotho. Data were analysed using descriptive statistics. The results suggest that, even though teachers reported positive views about their knowledge base, there is no correlation between sub-components of curricular knowledge. It is concluded that teachers should build the curricular knowledge by participating in collaborative activities. It is, therefore, recommended that studies that probe teachers’ actual knowledge of PCK constructs are executed, so that appropriate information is available when planning professional development activities targeting teachers’ PCK. Keywords: force concepts, pedagogical content knowledge, teacher knowledge, teachers’ perceptions of knowledge