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This review was conducted in order to determine the specific role of intelligent technologies in the individual learning experience. The research work included consider articles published between 2014 and 2024, found in Web of Science, Scopus, and ERIC databases, and selected among 933 мarticles on the topic. Materials were checked for compliance with the criteria for headings, annotations and full texts and then further analyzed. The research study includes 38 review articles that were selected based on a rigorous evaluation and selection process in accordance with the PRISMA methodology and the AMSTAR2 critical assessment strategy. As a result of the analysis, it was found that the scope of application of intelligent technologies in individual education in research is diverse, and the results of articles on this topic are heterogeneous. The article identifies aspects of the effective use of intelligent technologies in education, emerging difficulties and limitations, as well as provides examples of successful implementation in various educational institutions. Although there are advantages to using smart technologies in education in general, we should not ignore what needs to be considered. On this point, the article presents the difficulties that arise when using intelligent technologies in education, and ways to prevent them.

Child engagement in prekindergarten classrooms was examined using 2,751 children (mean age = 4.62) enrolled in public prekindergarten programs that were part of the Multi-State Study of Pre-Kindergarten and the State-Wide Early Education Programs Study. Latent class analysis was used to classify children into 4 profiles of classroom engagement: free play, individual instruction, group instruction, and scaffolded learning. Free play children exhibited smaller gains across the prekindergarten year on indicators of language/literacy and mathematics compared to other children. Individual instruction children made greater gains than other children on the Woodcock Johnson Applied Problems. Poor children in the individual instruction profile fared better than nonpoor children in that profile; in all other snapshot profiles, poor children fared worse than nonpoor children.

We adopt a multilevel perspective to study the transfer of collective and individual knowledge. By making a clear theoretical distinction between collective and individual attributes in concepts such as knowledge, teaching approach, and absorptive capacity, this study extends the knowledge transfer literature and provides fresh insights into the ways in which collective and individual knowledge are transferred. Based on a survey of the capability transfer activities of 161 engineering units of multinationals in the Chinese automotive industry, we empirically validate the distinction between individual and collective teaching activities and absorptive capacity. More importantly, we find that the largely underexplored collective-level mechanisms, such as collective teaching and collective absorptive capacity, are more effective in transferring both collective knowledge and individual knowledge in comparison to their individual-based counterparts. Our findings also have important implications for management of multinationals and international joint ventures, particularly in emerging economies.

To better understand students’ computational thinking skills (CTS) within the context of flipped-classroom instruction, a structural equation modeling analysis is employed to examine the key factors that influence student learning and students’ CTS when learning through flipped-classroom instruction. A total of 406 first-year college students responded to the survey. The results of this study show that student-to-student connectedness, learning motivation, and learning strategy have a direct impact on students’ CTS. In addition, indirect effects were found between student-to-student connectedness and CTS through learning motivation. Indirect effects were also found between learning motivation and CTS through the learning strategy in a flipped-classroom instruction situation. The findings of this research have practical implications for instructors, in that they should focus on the key factors that predict students’ computational thinking skills.

Educational technologies are often developed such that students work on specific social levels (e.g., individual, small group, whole class) at specific times. However, in the reality of the classroom, learning activities are not so cleanly divided, with transitions occurring between social levels for students at different times. To support these social transitions in a way that can promote student learning, we need to lower the teacher’s orchestration load around managing fluid social transitions. Co-orchestration, in which the orchestration decisions are shared between different parties, can help to lower the orchestration load when it is designed according to the teacher’s values and classroom culture. In this paper, we present a taxonomy of social transitions and investigate how the responsibilities of orchestration can be divided between primary school teachers and a co-orchestration system in order to support the extension from rigid social transitions to fluid transitions in technology-enhanced classrooms. Across two studies, we used a design process involving co-design and prototyping with teachers. We uncovered and refined co-orchestration design desires that balance teachers’ orchestration loads while providing them with a sense of control. We present six design desires for maintaining a balance between teacher and system responsibilities regarding the orchestration of social transitions that can be implemented, such as in our mid-fidelity prototype, to support the range of social transitions. The list of desires contributes to co-orchestration research and more broadly technology design for classrooms by highlighting the changing balance of teacher control depending on what is the focus of the orchestration support.

More than three decades of mentoring research has yet to converge on a unifying definition of mentoring; this is unsurprising given the diversity of relationships classified as mentoring. This article advances beyond a definition toward a common framework for specifying mentoring models. Sixteen design elements were identified from the literature and tested through specification of two different mentoring models from higher education contexts. This framework provides researchers and practitioners with a detailed yet concise method of communicating exactly what they mean when using the word mentoring; it may also act as a useful set of prompts for educators designing new mentoring interventions.

Journey with a third-grade community of writers as they develop their writing identities and abilities in a responsive approach to writers’ workshop. Instruction is framed around the writers’ workshop approach, where students’ choice and voice are centered within extended periods of time for writing, alongside daily mini-lessons addressing the ongoing needs of each student writer. Knowledgeable about each child as an individual and as a writer, their teacher, Ms. H tailors whole group, small group, and individual instruction to address their unique needs. She fosters a community of writers through her intentional feedback and guidance to support children as they navigate writing partnerships with their peers. She supports them as they work to overcome roadblocks along the way while celebrating the journey as a community of authors.

The study of English is compulsory throughout all 13 years of schooling in Australia and, while there are differentiated options in the senior years of school, these do not have the same parity of esteem nor transactional value. Previous research has identified patterns of enrolment in high versus low-status subjects, reflecting differential access to powerful knowledge and further educational opportunity. To date, research has focused on patterns of inequalities in enrolment access along socioeconomic lines with comparatively less attention to the accessibility of pedagogy and assessment, particularly for students with high-incidence disabilities like Developmental Language Disorder (DLD) and Attention Deficit Hyperactivity Disorder (ADHD). In this study, we draw on individual achievement and interview data to consider the accessibility of subject English from the perspectives of 59 Year 10 students identified as having language and/or attentional difficulties consistent with DLD and ADHD. In describing their ease or difficulty with subject English, students reported attributions to self (e.g., their ability to write or to concentrate), and attributions to the subject (e.g., explicitness of success criteria, flexibility of assessment requirements, and the in/accessibility of teaching). Attributions to the subject dominated students’ responses, however, students also described a range of supportive pedagogical practices that—if implemented consistently and effectively—may help to increase the accessibility of subject English for students with language and/or attentional difficulties, providing more equitable opportunities for these students to gain from their participation in this important compulsory subject.

Flipped classroom (FC) pedagogical frameworks have recently gained considerable popularity, especially at secondary school levels. However, there are rich opportunities to explore FC at tertiary levels, but progress on the area requires instructors’ attention to well-designed tasks for students’ collaborative learning. Realistic Mathematics Education (RME) provides a foundation for the development of such tasks. This article advances research on the role of task design in a FC context by considering how RME heuristics may be developed to include the out-of-class phase, where students prepare for in-class work with videos. This adaption, named flipped RME classroom design, is explored through two realizations of such a design with a group of computer engineering students during their first year of studying compulsory mathematics. Thematic analysis of the classroom observations shows that students’ modelling activity in-class is supported by the design of an out-of-class component in combination with teacher guidance of students’ modelling activity.

Students with high incidence disabilities in the public school system often perform multiple grade levels below their typically developing peers in mathematics achievement. These students exhibit lower levels of on-task behavior that limits their access to effective instruction, thus requiring instructional interventions that personalize learning, differentiate materials, and ultimately promote academic engagement. In recent years, the use of technology-mediated and computer-assisted instruction has shown to have positive results with students with disabilities. Blended learning, an intervention that combines face-to-face instruction with computer-based instruction, has been shown to improve the on-task behavior and achievement of students with disabilities. In this study, blended learning was implemented with three middle school students with emotional behavior disorders in a therapeutic setting in a large city in the southeastern United States. Using a multiple baseline across participants single case design, this study examined the relationship between blended learning eighth grade mathematics instruction and student on-task behavior, teacher engagement, and mathematics achievement. After exposure to the intervention through 21 sessions over 5 weeks, both student and teacher engagement increased with the use of station-rotation blended learning. Math achievement, measured through the AIMSweb curriculum-based math probes, improved for two of three student participants. Social validity questionnaires revealed that students and teacher enjoyed the blended learning intervention; however, continued use depended on properly functioning technology. Future research in the area of blended learning math instruction should strive to accurately measure on- and off-task behavior under the computer-based condition.