In recent years, significant developments have occurred in AI-based chatbots that have been effectively deployed in the educational field. However, given the novelty of this technology, descriptive analyses remain scarce. Although many review studies have focused on the effectiveness of chatbots, they generally present broad results, and only a few have addressed the impact of this technology on learning outcomes. The present study examines the educational implications of AI chatbots on various learning outcomes through a post hoc analysis conducted in accordance with PRISMA principles. It aims to aggregate and analyze findings from studies that examined the use of chatbots and their impact on specific learning outcomes. A total of 26 studies were selected from a pool of 6,721 published between 2021 and 2024 and indexed in the Scopus and Web of Science databases. Data analysis was conducted using the Newcastle-Ottawa Scale (NOS) for Education. The results revealed that AI-chatbot technology has a positive influence on several learning outcomes, including academic achievement, motivation, self-assessment, engagement in learning, self-efficacy, and language learning, among others. The studies also detailed the methodologies and tools employed in these investigations. The study also offers insights into how intelligent chatbots can be leveraged to enhance various learning outcomes.

A survey of literature on methodology reveals that the whole-part relationship is broken between the overarching definition of methodology and compatible sets of methodic practices and underlying assumptions. Two key general structures are missing: (a) a big picture view within which to organize definitions and parts, and (b) a framework within which to guide analysis of any particular feature of methodology without detaching from an understanding of the particular in relation to the whole. As a consequence, a basic question remains unanswered about what social scientists mean by methodology. The current manuscript explored literature relating to methodology, without emphasis on any specific paradigm, with the aim of synthesizing both the definitions (i.e., the whole) and components (i.e., the parts) of methodology. Using hermeneutic synthesis, nine definitions of methodology and four methodological decision sets were inferred. Definitions and decision sets were integrated into a range-based methodological framework. The resulting framework captures the continuum of methodological choices made by inquirers, which has implications for educators, methodologists, and researchers seeking to engage in inter- and intra-paradigm methodological analysis to understand and compare methodological decision points. 

Teacher-targeted victimization remains an under-integrated dimension of school violence research. This systematic review follows PRISMA 2020 guidelines and synthesizes 56 empirical studies (2015–2026) examining how teacher-targeted victimization is conceptualized and analyzed. The review maps patterns in geographic distribution, methodology, behavioral aggression forms, perpetrator framing, and the integration of institutional variables. Findings reveal the predominance of quantitative cross-sectional designs (75.9%). Physical (n = 28) and verbal aggression (n = 26) are the most frequently examined forms, with over half of the studies conceptualizing aggression as exclusively student-perpetrated. Institutional and governance variables remain limited: 84.8% of studies include no institutional variables beyond exposure or rely solely on general school climate indicators, while governance-level constructs appear in only one study. Drawing on Organizational Justice Theory and Institutional Theory, the review advances a Multilevel Institutional Accountability Model that conceptualizes teacher-directed aggression across behavioral exposure, institutional processing, and governance architecture. The findings highlight the need for greater integration of institutional and governance variables in future research.