Educational Research Review最新文献

Educational Escape Rooms (EER) as a new teaching tool gained significant attention in the research discourse – especially the last two years. So far, research focused on the practicality, feasibility or description of the development. To provide a more comprehensive understanding to mechanisms within this instructional approach, it is valuable to examine it through the lens of established and well-researched theories and approaches of teaching and learning. Therefore, we identified which theoretical foundations were used in research on Escape Rooms as learning tools and took a look at the extent to which and where they are represented. For this purpose, a systematic review was conducted, which resulted in the identification of 24 articles containing a total of nine theoretical foundations. It is presented how these approaches are applied in EERs and how they are interrelated. Furthermore, we developed six patterns that illustrate the integration of the found theories into the articles. The integration of these theoretical approaches ranges from general statements on theoretical grounding in EERs without connection to didactic considerations to theoretical grounding with empirical validation. Result of the systematic review is that the theoretical foundation in current research on EERs is weak. Therefore, it is argued that future research should focus more on the interweaving of theory, didactic instructions, and practice to gain a better understanding of mechanisms behind successful learning environments with EERs.

This mixed-research synthesis examined the short and long-term effects of out-of-school learning (OSL) activities on student achievement and factors affecting these practices. Initially, two meta-analytic reviews examined the short and long-term effects of OSL practices on student achievement under a random-effects model. Then, a thematic synthesis of primary qualitative studies explored the pedagogical factors affecting OSL practices. Finally, results from both phases were integrated through a cross-study synthesis. The study found that OSL significantly improves student achievement, g = 1.062, 95% CI [0.930, 1.194], and achievement retention, g = 1.033, 95% CI [0.759, 1.307]. However, there were considerable within and between-study heterogeneities. The moderator variables of country, discipline area, intervention length, and grade levels significantly contributed to effect size variability in one or both meta-analyses. The thematic synthesis revealed many pedagogical factors and implications that needed consideration when planning for, implementing, and finalizing OSL. Interventions matching the implications drawn from the primary qualitative studies had statistically significant effects on student outcomes in many cases. The study concluded by discussing major findings, conclusions, and implications for future research, teachers, and policymakers.

We recently published a paper in this journal (de Jong et al., 2023) that presented an overview of the literature on learning in science domains through direct instruction and guided inquiry-based learning. This paper was, in part, a response to Zhang et al. (2022) who argued that the evidence firmly supported the superiority of direct instruction over inquiry learning. Sweller et al. (2024) recently replied by repeating this claim and also argued that we had ignored evidence against our position, questioned our analysis of the evidence, and claimed that direct instruction (unlike inquiry learning) is grounded in a strong theory. In this rebuttal we start by reemphasizing the conclusion from our previous paper: adequate instruction always involves different strategies, which should be thoughtfully selected based on contextual factors. Next, we demonstrate that inquiry-based learning is firmly rooted in both cognitive and socio-cultural theories of learning and conclude from recent literature that Sweller et al.‘s belief that direct instruction is overall more effective than inquiry learning is not supported by the data from empirical studies.

Educational reform through the scaling of evidence-based practices has been extremely difficult to achieve in practice. This scoping review examines the extent to which Implementation Science (IS) has been used to investigate the scaling of interventions in school settings and what has or could potentially be learnt from these investigations.

Scopus, ProQuest, and EBSCO databases were searched for studies that involved scaling of an intervention in a school setting and made reference to IS. A wide range of methodologies (observational, quantitative, qualitative and mixed methods) in publications including journals articles, book chapters and reports was included. Extracted data were grouped and analysed under Nilsen's IS classification system of determinant frameworks, evaluation frameworks, process models, classic theories and implementation theories. Inductive analysis of recurring themes in the literature was performed.

The use of IS in the study of scaling interventions in school settings is in its early stages, with just 101 studies identified. Of those studies, there has been little systematic and considered use of IS in the scaling of interventions in schools. Twenty-eight factors considered important in the scaling of interventions in school settings were identified but only four in five papers nominated an IS framework, model or theory as a guiding principle for assessing implementation. Only two out of three studies reported an implementation outcome (66%) and, of those studies that did, one in three reported a single implementation outcome (33%). There was also a lack of consistency in terminology, variability in the application of IS tools, and limited longitudinal investigation. The large number of IS conceptual tools (n = 47) employed, combined with variability in application revealed that a fragmented approach to the use of IS currently exists in educational implementation research.

We argue that using a limited number of IS conceptual frameworks (preferably over at least a two-year period) would enhance the study of scaling interventions in schools. A reduced range of IS tools and consistent terminology to conceptualise and discuss implementation would enable a solid research base to be established.

To move beyond fidelity measurement, the following areas need to be examined and reported: (1) the range of contexts in which the intervention is being implemented; (2) the barriers and facilitators studied; (3) multiple implementation outcomes; and (4) the intervention outcomes.

Sense of belonging in higher education contributes to students' wellbeing and academic attainment. However, there is ambiguity about the definition and measurement of sense of belonging in higher education, and it is unclear how these definitions and measures are used in diverse student populations in terms of ethnicity and generation status in higher education. In this systematic review we investigated how students' sense of belonging in higher education is defined and measured and how this differs in studies addressing students' ethnicity or generation status in higher education. 89 quantitative, 55 qualitative, and 6 mixed method articles published between 2000 and 2021 were included, critically analyzed through an integrative approach, and their quality was appraised. Results revealed (a) a large variety in underlying concepts used to define of sense of belonging in higher education, including additional concepts from qualitative studies, (b) 52 separate used measures, and (c) misalignment between definitions and measures in quantitative studies. There was a substantial difference in cited definitions and used measures between studies that did and did not address students' ethnicity or generation status in higher education. Furthermore, from the findings it is implied to be explicit about the HE context in which sense of belonging is studied or focused on, alongside the deliberate inclusion of students’ representative intersecting identities.

Artificial intelligence (AI) has brought new ways for implementing learning analytics in computer-supported collaborative learning (CSCL). However, there is a lack of literature reviews that focus on AI-driven learning analytics applications and tools in CSCL contexts. To fill the gap, this systematic review provides an overview of the goals, characteristics, and effects of existing AI-driven learning analytics applications and tools in CSCL. According to the screening criteria, out of the 2607 initially identified articles between 2004 and 2023, 26 articles are included for final synthesis. Our results show that existing tools primarily focus on students’ cognitive engagement. Existing tools primarily utilize communicative discourse, behavioral, and evaluation data to present results and visualizations. Despite various formats of feedback are provided in existing tools, there is a lack of design principles to guide the tool design and development process. Moreover, although AI techniques have been applied for presenting statistical information, there is a lack of providing alert or suggestive information in existing tools or applications. Compared with the positive impacts on collaborative learning, our results indicate a lack of support for instructional interventions in existing tools. This systematic review proposes the following theoretical, technological, and practical implications: (1) the integration of educational and learning theories into AI-driven learning analytics applications and tools; (2) the adoption of advanced AI technologies to collect, analyze, and interpret multi-source and multimodal data; and (3) the support for instructors with actionable suggestions and instructional interventions. Based on our findings, we provide further directions on how to design, analyze, and implement AI-driven learning analytics applications and tools within CSCL contexts.

As any model of educational leadership is expected to contribute to academic success, dialogic leadership has emerged as an essential model in this domain, providing compelling evidence of significant improvements in the academic outcomes of students, including reduced absenteeism among school children. Dialogic leadership is an emerging leadership approach that conceptualizes the role of members of the educational community (teachers, students, family members …) that develop leadership practices as they engage in dialogue with others. Research has already demonstrated the positive impacts of dialogic leadership in education as well as in other sectors, for example improving leadership skills in students or enabling the participation of community members in schools, but currently, there are no studies that synthesize these findings. The purpose of this paper is to review the impacts of dialogic leadership, consolidate its defining features, and contextualize it within educational leadership research. The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) model was used for guidance in the reporting of this systematic review. We carried out an inductive thematic analysis on 27 articles that met the inclusion criteria. As a result, several themes emerged which describe dialogic leadership as an approach and its impacts. It is identified as an egalitarian and social justice-oriented approach that emphasizes inclusion in education. Its impacts are noted across two levels – individual and institutional. At the individual level, it has demonstrated synergies with improvements in the physical and mental wellbeing of adult learners; in self-confidence in children, staff in early education and adult learners, and in the quality of life of educational community members. While at the institutional level, among others, it has led to an improvement in the academic outcomes of students, and it has played the function of social cohesion - bringing society and community members closer and eliminating knowledge gaps through dialogue. We provide a discussion of these themes, along with the implications and suggestions for future research.

Vocational interests are a commonly used concept to help students choose a study program in higher education. The underlying assumption is that a good choice reflects congruence of the program with a student's vocational interests. This assumption however remains controversial, given the lack of conclusive evidence due to methodological problems, mixed results, and absence of meta-analyses using multiple indicators of academic success. Therefore, we aimed to provide reliable meta-analytic evidence regarding the relationship between interest congruence and three indicators of academic success in higher education, along with the sources of variation moderating this relationship. We first performed a systematic search in three databases, which included 23 studies. We then used psychometric meta-analysis and narrative analysis to synthesise these studies. The meta-analytic results revealed that interest congruence is a positive, albeit small, predictor of academic achievement, persistence in the study program, and satisfaction with the study program. Interestingly, the manner in which interest congruence was operationalised moderated this relation: congruence measures that were operationalised with the full interest profile showed larger effects. The outcomes of the narrative review showed a great variety of methodological approaches, rendering it difficult to draw a firm conclusion. However, the general observation based on the review is that the congruence-outcome relationship is affected by individual characteristics of students, such as prior achievement, gender, first-generation status, and race. In conclusion, the results of this meta-analysis and subsequent narrative review indicate that the concept of interest congruence has the potential to be a helpful tool for adolescents for reflection on study choice. However, the relationship between interest congruence and academic success is influenced by a complex interplay of measurement variables and other individual characteristics, which should be considered in future research.

Although they are an important part of learning to read, listening comprehension skills are often hindered among students with intellectual disability (ID). An increasing number of studies have shown that they can be enhanced through shared text reading interventions. In the current multilevel meta-analysis, we aimed to measure the effect of shared text reading on the listening comprehension skills of students with ID and to identify efficient instructional strategies. The meta-analysis included 19 single-case experimental studies encompassing 67 participants with ID. We found a significant average effect size of shared text reading on the listening comprehension skills of students with ID (log response ratio [LRR] = 1.05, 95% CI [0.87, 1.24]) whether or not they needed alternative or augmentative communication systems to communicate effectively. We found no significant moderator, but instructional strategies backed up by sufficient solid evidence to be considered evidence-based could be identified, with clear implications for practice.

Young children spend a significant and increasing amount of time using digital media. Thus, a clear understanding of how best to support children's learning from digital media is important. A specific recommendation by some professional bodies is that parental co-use should be applied to scaffold children's learning from digital media. The aim of this meta-analysis was to assess the association between adult-child co-use on 0–6-year-old children's learning from digital media. The analysis was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. We identified 17 studies investigating typically developing 0–6-year-old children's learning outcomes from digital media use with an adult for inclusion in this meta-analysis. We extracted 100 effect sizes (N_total = 1288) from studies published between 1977 and 2022. Our meta-analysis found a small positive association of adult-child co-use on children's learning from digital media (g = 0.198, 95% CIs: 0.059–0.337, p = 0.009); none of our moderator analyses were significant. While the evidence suggests a positive role of adult-child co-use, support for this conclusion was limited by small sample sizes and a lack of variety in study design. These issues limited the statistical power of our moderator analyses. The effect is, however, clearly significant and suggests that a real effect exists in the practice of co-use, but future research systematically exploring the mechanisms by which adult-child co-use supports children's learning is warranted.