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E-learning has become an emerging approach to delivering knowledge and information to students. It presents significant challenges to sharing and understanding learners' knowledge, inquiries, interest, and needs. Educational organizations are expected to apply the appropriate practice to address knowledge-sharing challenges in the e-learning environment. In this study, through a systematic literature review, we intend to identify and synthesize knowledge-sharing challenges and practices as well as classify the most discussed challenges and practices in various contextual settings. The findings classify the knowledge-sharing challenges and practices in e-learning from four perspectives: organization, individual, knowledge and technology. This study aims to build a knowledge base to support future research and effective knowledge-sharing practices in the e-learning environment.

Today, the power of discourse is incontestable. Within the field of language policy and planning (LPP), language policy (LP) has been conceptualized in various ways. One paradigmshifting conceptualization is viewing LP as "discourse." The discursive power of language policies is quite real as it can be contested in official state discourses about language and language-related issues. This paper employs corpus-assisted critical discourse analysis to examine the macrodiscourses of crisis, quality, equity, equality, and change in Morocco's language policy. The study scrutinizes these discourses and explores their "manipulative" use in official policy texts. It contends that these macro-discourses are strategically used to rationalize the spread and strengthening of foreign languages to the detriment of national ones. Specifically, the analysis shows that crisis discourse serves as a powerful strategy to legitimize change and create a sense of urgency that often sidelines crucial questions about the nature and beneficiaries of the proposed changes. Furthermore, the discourse of quality ties educational "quality" to the mastery of foreign languages. Likewise, renovation and modernization discourses are found to align systematically with the promotion of these languages. Also, the rhetoric of equity in language-in-education policy appears to justify biased decisions that favour foreign language instruction, risking the perpetuation and exacerbation of existing educational inequities. Consequently, this study implies that more attention should be paid to the intricate dynamics of language policy, especially its discursive power, which could potentially amplify disparities in education systems instead of eliminating them.

Studies document difficulties undergraduate pre-nursing and allied health students face when learning human anatomy and physiology (A&P) course content. A comprehensive synthesis exploring the teaching practices within the course and how those practices are evaluated is warranted. This scoping literature review identified 78 journal articles investigating teaching practices, and we charted their research methods, student outcomes, and institutional contexts. Content analysis found the teaching practices described most frequently in A&P education research literature involved multiple aligned changes across the curriculum, including student activities, course delivery, and assessments. Critical appraisal of study methodologies revealed that most studies in undergraduate A&P were longitudinal, included comparison groups, and used simple inferential statistics. In contrast, few studies listed limitations of their research, collected data from multiple institutions, or reported student demographic data. We believe these factors pose notable limitations to the interpretation of A&P education studies across institutional contexts. The results of this review identify future lines of inquiry to enrich existing evidence about pedagogical interventions in A&P courses.

The aim of this study is to examine the national and international studies on the combination of interactive reading with language skills at the primary school level through the content analysis method. Upon being accessed using multiple keywords and databases and then selected by the researchers in the light of the criteria determined according to the research purpose, a total of 33 studies--22 articles and 11 postgraduate theses--were analysed by covering the period between 1984 and 2023. The analysis was conducted based on the following criteria: "research methods used, grade levels, number of participants, data collection tools, types of data analysis, types of participants, language skills covered, advantages and disadvantages on the basis of results". The results show that most of the studies have been conducted in the quasi-experimental design of the quantitative method, and likewise, most of them have been conducted with second-grade students. Interactive reading activities appear to have been carried out mostly between teachers and students in the studies generally involving small groups. The data of the studies included were mostly obtained through tests through descriptive statistical analyses. Since for the language skills were selected as the subject of the studies, it seems that reading skills were the most common, and almost all of the research results emphasized the advantages of interactive reading activities for the development of language skills.

This literature review examines the implementation of e-Portfolios in higher education, with a focus on the implementation process, potential barriers, and strategies for overcoming challenges. This review seeks to provide instructional designers and higher education instructors with design strategies to effectively implement e-Portfolios. Through an analysis of seventeen studies, we identified six common steps in the implementation process, including identifying a purpose, stakeholders, platform, conducting workshops, creating e-Portfolios, and evaluating the project. The implementation process also raised eight concerns, including concerns related to technology, policy, pedagogy, artifact quality, privacy, student motivation, academic integrity, and teacher workload. To address these concerns, existing strategies suggest that successful implementation requires training and policy support, student-centered pedagogy, criteria for assessing artifacts, privacy and data protection, feedback, anti-plagiarism measures, and shared successful models.

Artificial Intelligence (AI) has been part of every citizen's life for several years. Still, the emergence of generative AI (GenAI), accessible to all, has raised discussions about the ethical issues they raise, particularly in education. GenAI tools generate content according to user requests, but are students using these tools ethically and safely? Can teachers guide students in this use and use these tools in their teaching activities? This paper argues that teacher professional development (TPD) is an essential key trigger in adopting these emerging technologies. The paper will present an integrative literature review that discusses the components of TPD that may empower teachers to guide their students towards the ethical and safe use of GenAI. According to the literature review, one key component of TPD should be AI literacy, which involves understanding AI, its capabilities and limitations, and its potential benefits and drawbacks in education. Another essential component is hands-on activities that engage teachers, their peers, and students in actively using these tools during the training process. The paper will discuss the advantages of working with GenAI tools and designing lesson plans to implement them critically in the classroom.

In a rapidly emerging world, knowledge management capabilities, including knowledge creation, acquisition, sharing, and utilization, become more critical for organizational change, growth, and competitiveness. Therefore, this article argues that organizations should consider implementing effective journal club meetings as an opportunity to acquire external knowledge, evaluate and integrate new knowledge into previous existing knowledge, and disseminate and utilize new knowledge to enhance product or service quality, innovation, and the performance of an organization. The article reviews relevant literature, proposes a framework for conducting effective journal club meetings, and aligns those activities with the knowledge management processes. The article proposes a framework for conducting effective journal club meetings and a process that integrates both journal club activities and the knowledge management process. By adopting this framework, journal club activities would be more effective in developing new knowledge management capabilities among individual members and enhancing organizational performance, i.e., implementing evidence-based practices (EBP), improving service quality, and producing research.

We examined how Learning Analytics literature represents participants from diverse societies by comparing the studies published with samples from WEIRD (Western, Industrialized, Rich, Democratic) nations versus non-WEIRD nations. By analyzing the Learning Analytics studies published during 2015-2019 (N = 360), we found that most of the studies were on WEIRD samples, with at least 58 percent of the total studies on WEIRD samples. Through keyword analysis, we found that the studies on WEIRD samples' research topics focused on self-regulated learning and feedback received in learning environments. The studies on non-WEIRD samples focused on the collaborative and social nature of learning. Our investigation of the analysis tools used for the studies suggested the limitations of some software in analyzing languages in diverse countries. Our analysis of theoretical frameworks revealed that most studies on both WEIRD and non-WEIRD samples did not identify a theoretical framework. The studies on WEIRD and non-WEIRD samples convey the similarities of Learning Analytics and Educational Data Mining. We conclude by discussing the importance of integrating multifaceted elements of the participant samples, including cultural values, societal values, and geographic areas, and present recommendations on ways to promote inclusion and diversity in Learning Analytics research.

This paper explores recent advancements and implications of artificial intelligence (AI) technology, with a specific focus on Large Language Models (LLMs) like ChatGPT 3.5, within the realm of higher education. Through a comprehensive review of the academic literature, this paper highlights the unprecedented growth of these models and their widereaching impact across various sectors. The discussion sheds light on the complex issues and potential benefits presented by LLMs, providing a comprehensive overview of the field's current state. In the context of higher education, the paper explores the challenges and opportunities posed by LLMs. These include issues related to educational assessment, potential threats to academic integrity, privacy concerns, the propagation of misinformation, Equity, Diversity, and Inclusion (EDI) aspects, copyright concerns and inherent biases within the models. While these challenges are multifaceted and significant, the paper emphasises the availability of strategies to address them effectively and facilitate the successful adoption of LLMs in educational settings. Furthermore, the paper recognises the potential opportunities to transform higher education. It emphasises the need to update assessment policies, develop guidelines for staff and students, scaffold AI skills development, and find ways to leverage technology in the classroom. By proactively pursuing these steps, higher education institutions (HEIs) can harness the full potential of LLMs while managing their adoption responsibly. In conclusion, the paper urges HEIs to allocate appropriate resources to handle the adoption of LLMs effectively. This includes ensuring staff AI readiness and taking steps to modify their study programmes to align with the evolving educational landscape influenced by emerging technologies.

Identifying gifted students in today's complex context requires precision in both the definition of the concept and its constituent characteristics. However, there are discrepancies worldwide in the instruments established to diagnose gifted students. This study undertook a systematic literature review (SLR) to identify the most representative characteristics of this profile. A database of 676 articles from Scopus and WoS was analyzed, of which 37 were screened for further study using a content analysis approach. The study aimed to answer two research questions: (1) What are the prevailing characteristics of research on giftedness? (2) What are the challenges and barriers to current research and practice in gifted research? These inquiries were addressed through a series of disaggregated questions divided into four categories: publication metrics, study methodology, identification and support of giftedeness, and technology used. The main findings were a) the lack of standardized measures for identifying gifted individuals; b) the important role of teacher training in identifying and supporting gifted profiles; and c) the inherent limitations of research on giftedness, which constrain the generalizability of its findings. It was concluded that emotional intelligence plays a critical role in giftedness. Key challenges identified include discrepancies in giftedness identification instruments and the impact of cultural and socio-economic factors on gifted education.

This paper examined how performance-based funding (PBF) policies shape institutional performance and student outcomes for public four-year or above historically Black colleges and universities (HBCUs). By conducting a systematic review of the literature, the findings expanded on two main areas, as underscored by the pieces reviewed: (a) how the implementation of PBF policies across states impacts public four-year or above HBCUs, and (b) the intended and unintended consequences of PBF policy on public four-year or above HBCUs. The review of the literature largely indicated that public HBCUs continue to feel the burden of long-term disinvestment and lack of policy planning that is attentive to their histories, mission, and needs. Although researchers are still evaluating the impact of PBF policies on institutional performance and student outcomes based on PBF 2.0, the literature has affirmed that PBF 1.0 has negatively impacted student performance, raising several concerns about the future of HBCUs.

While early literature in accessibility services in postsecondary education largely focused on physically disabled students, their presence in the peer-reviewed literature from 1951-2012 was described as sparse by Gelbar et al. (2015). The studies that existed were largely descriptive, and no studies investigated the effectiveness of accommodations or services for physically disabled students. The present study extends this prior analysis and examines the professional literature on physically disabled students published from 2013-2021. Results indicated there was an increase in articles during this time that featured physically disabled students in the overall sample, and of articles focused on this cohort specifically. There was also an increase in the number of articles based in countries outside of the United States, Canada, and Great Britain, as well as a rise in the number of articles featuring qualitative designs. However, there remains a minimal number of articles featuring research designs that allow the field of postsecondary education and disability to determine research-based practices in providing access to the population, as well as articles that focus on 2-year and career/technical institutions and on faculty and institutional staff. Implications for research and practice are presented.

Adaptive learning strategies applied to e-learning have become a relevant approach towards diversity and inclusion. They bring several benefits to learners in the role of digital platform users, related to the user experience, primarily in the learning process optimization. It aims to provide mediation, tailored content, and adequate channels for users' capabilities and learning styles. The OpenEdR4C is a digital open educational platform designed to expand complex reasoning skills in students and lifelong learners of higher education. The platform addresses five types of learning obstacles: sensory limitations, learning styles, sociodemographic and socioeconomic contexts, and certain kinds of neurodiversity. All these considerations require a dynamic and assertive user profiling strategy to provide compelling adaptive learning experiences. This paper presents a Systematic Literature Review of user profiling strategies published in the last five years in SCOPUS and Web of Science databases. The findings allowed us to identify successful and applicable strategies that the OpenEdR4C research and development teams might use to select and shape the suitable strategy for the platform in two levels: a) procedures that favor the user to self-declare their profile and preferences; and b) profiling based on the system's detection of patterns and behaviors shown by the users. The results and discussion presented are valuable insights for educators, developers in the context of open educational resources design, and decision-makers of HiEd institutions or training centers. There is a suitable strategy for every type of profiling necessity; here is a combination of many to be used and developed collectively.

Autism is the fourth-largest disability category in the US, and autistic high school students' expectations for college education in a wide variety of fields have been ever-growing. This paper focuses on the pursuit of STEM-related education for students with autism and the unique needs of these students and techniques to improve outcomes. Although the potential to diversify the current STEM workforce is evident, college enrollment trends and STEM employment rates do not reflect the increasing interests and needs of autistic individuals. This systematic literature review aimed to understand the current knowledge about autistic students' pathways from high school to STEM employment and examined associated educational practices promising to improve their STEM career outcomes. After reviewing 5,620 articles, our search yielded seven eligible articles. Findings demonstrate the prevalence of articles landing in autism journals and possessing limited demographic diversity, as well as the featured programs improving autistic students' developmental skills while participating in STEM programming. Additionally, autistic students are increasingly pursuing STEM programs in postsecondary education. Implications point to the necessity of elevating representation among diverse autistic individuals in scholarly research, offering further guidance to autistic students in following STEM career pathways, and expanding opportunities for them to enroll in STEM fields in postsecondary education institutions.

Chinese international students' well-being is an important part to notice with the rapid number of Chinese international students (CIS) in the U.S. and the increasing number of depressions in college. A systematic review of articles using analytical methods was conducted following the PRISMA guidelines. 1600 studies were initially reviewed from EBSCO, ProQuest, etc. After examining inclusive and exclusive criteria, 30 studies were included in the full review. 19 psychological factors associated with CIS's well-being were found. Results showed that social support is positively associated with CIS's well-being and is correlated with acculturative adjustment for improving psychological well-being. This research revealed the importance of considering cultural psychology in mental health professions, such as acculturation, language issues, and social support. When this population reports depression, anxiety, or academic stress symptoms, mental health providers need to be aware of these impacts and provide psychoeducation for counseling services in the U.S. college. [Note: The page range (529-551) shown on the PDF is incorrect. The correct page range is 529-550.]

Advancements in artificial intelligence (AI) have tailored computer systems to meet user needs, thereby enhancing user experience. The application of AI technology in the production of digital videos, particularly in education, is becoming increasingly prevalent. This study aims to explore trends in the use of AI technology for digital video production. To achieve this, a systematic literature review was conducted across the Web of Science, ERIC, Taylor & Francis, Education Full Text EBSCO, and ScienceDirect databases. Studies were selected following the PRISMA flowchart, adhering to inclusion criteria aligned with the study's objectives. Consequently, 21 international studies were analyzed. The findings indicate that AI supports the creation of diverse digital content, which can serve various purposes such as general guidance, knowledge reinforcement, design and experimentation, and personalized experiences. However, it appears that AI's full potential has not yet been efficiently harnessed. Therefore, it is recommended that future research focus on developing digital content that caters to individual differences, enhances social interaction, includes enriched features, and is adaptable to various environments.

Learning mathematics in an online learning environment has unique challenges. Success in an online mathematics learning environment depends on a student's self-regulating ability. This systematic review provides the scholarly community with a synthesis of current self-regulated learning (SRL) strategies of students in the mathematics online learning environment. We looked at research from 2014 to 2022 regarding the approaches, purposes, outcomes, and limitations of these studies. Our findings indicate that most of the studies focused on the effect of SRL on student achievement. The results reveal that 88.2% of the studies used a quantitative approach and 41.1% employed high-school students as study samples. In addition, most of the studies used questionnaires to collect data and indicated that their limitation was the narrow study context. We encourage learning institutions to integrate SRL strategies in mathematics online learning environments to improve the quality of education.

The increasing demand for skilled employees in contemporary economies underscores the importance of effective upskilling of the low-skilled. This study addresses the significant challenge of enhancing the professional development of low-skilled workers, focusing on the factors that either facilitate or hinder their engagement in learning activities. The primary aim was to identify the key characteristics that contribute to the effective professional development of low-skilled employees and the practical application of the skills they acquire. A systematic review was conducted, examining empirical studies published between 2004 and 2024. The search encompassed six databases, resulting in 352 identified articles. After rigorous screening and quality assessment, 22 high and good-quality studies (published in 2011-2023) were included in the final selection. The studies spanned various countries and methodologies, including qualitative, quantitative, and mixed-method designs. Key findings highlight that both personal and contextual factors influence the effectiveness of professional upskilling for low-skilled employees. Personal factors include motivation, self-direction, and reflexivity, while contextual factors encompass the quality of the work environment, learning opportunities, and institutional support. The review emphasises the importance of tailored training programmes, practical and interactive learning methods, continuous support and mentorship, and robust evaluation mechanisms. Effective transfer of training is facilitated by the relevance and applicability of training content, learner engagement and organisational support. The results highlight the need for holistic approaches that address both personal and contextual factors to enhance the professional development and skill utilisation of low-skilled workers; ultimately contributing to their career trajectories and job satisfaction.

The rapid advancement of technology in recent years has brought about profound changes in every aspect of our lives. Such technological advancement has impacted children in a digital age where technology permeates every facet of their existence, from education to entertainment and communication to socialization. The younger generations today appear deficient in motor, emotional, and social abilities. They appear to exhibit higher levels of aggression, anxiety, dependency, and reduced creativity. Integrating non-formal education into children's learning aims to maximize enjoyment and engagement by capturing children's interest and inspiring them to continue learning. Thus, non-formal education encompasses a spectrum of curricular activities in the natural environment outside of the school area. This scoping review aims to identify the focus skills development among primary school learners and how non-formal educational activities could boost learners' learning ability. Four databases, including Scopus, web of science (WoS), Education Resources Information Center (ERIC), and ScienceDirect, were used in this research, which found 36 articles for eligibility. Only 15 articles are eligible for analysis and reference after the exclusion and inclusion process for data collection. The findings show that non-formal education offers learners the opportunity to explore a multitude of interests beyond the structured confines of the classroom.

The release of ChatGPT has marked the dawn of a new information revolution that will transform how people communicate and make meaning. However, to date, little is known about the implications of ChatGPT for L2 composition instruction. To address this gap, the present study uses a systematic review design to synthesize available research on the educational potentials of ChatGPT as an instructional assistant, outline the implications of these potentials for L2 writing instruction, and discuss their practical applications. The findings, based on a meta-analysis of 42 research articles, demonstrate that ChatGPT can enhance L2 writing instruction by boosting learners' motivation, automating instructional tasks, and offering instantaneous, personalized feedback to learners. These findings have important implications for harnessing the instructional potential of generative AI in L2 writing classes.

Generative Artificial Intelligence (AI-Gen) in education is a challenge for educational administrations due to the benefits and risks of its use. This research seeks to analyse the scientific production of AI-Gen in the educational field. The method used was a bibliometric analysis of descriptive and quantitative documents from the Web of Science database. The VOSviewer statistical programme was used to identify the keyword clusters and to create the network map. The results of this study ascertain that 2023 is the birth of AI-Gen research in education and has since produced a total of 178 papers, where Australia heads the ranking of countries with studies on this subject matter. The ChatGPT phenomenon materialises as a focus of study in the majority of cited research. The study includes seven keyword clusters, where the IA-Gen cluster which is related to terms such as challenges, risks and opportunities are highlighted. Following the discussion, the main conclusion of the study denotes that further research is required on the use of AI-Gen during the teaching-learning process in several educational stages to prevent plagiarism and to obtain a comprehensive understanding of this technology as an educational resource.

Artificial intelligence (AI) text generators, such as ChatGPT and Copilot, have been used for various purposes such as creating written content, writing or debugging computer code, answering questions, providing information, and improving written communication. This robust functionality of AI text generators along with the high rate of use reported by college students highlights the need for instructors in special education teacher preparation programs to contend with the impact of AI on teaching and learning. The purpose of this article is to provide examples of how teacher educators might reimagine assignments and activities in the era of AI text generators. Specifically, the authors explore ways that AI applications might be intentionally incorporated or, conversely, intentionally restricted in the design of course assignments and activities.

This literature review explores the effectiveness of self-regulated learning (SRL) practices in public school classrooms as a means of improving student engagement, motivation, and academic success. Data was gathered from a collection of peer-reviewed articles on varying topics as they relate to self-regulated learning and student engagement, specifically the concepts of student choice, intrinsic motivation, self-efficacy, and authentic learning. Overall findings indicate that classrooms focused on supporting students' self-regulated learning processes enhance students' levels of engagement.

Recently, ChatGPT, a cutting-edge large language model, has emerged as a powerful Generative Artificial Intelligence (GenAI) tool with the capacity to influence education. ChatGPT provides ample opportunities for learners, researchers, educators, and practitioners to achieve the intended learning outcomes in various disciplines. This special issue examines the diverse applications and implications of GenAI tools including ChatGPT in education, highlighting their potential to enhance teaching and learning across various contexts. Key findings from seventeen studies collected in this special issue demonstrate that GenAI tools can significantly improve educational outcomes by providing personalized feedback, facilitating language learning, and supporting both qualitative and quantitative research methodologies. The findings emphasize GenAI's capacity to increase learner engagement and motivation, yet also underscore the need for robust ethical guidelines and human oversight due to potential issues with privacy, bias, and accuracy. This special issue also highlights the challenges GenAI faces, such as limitations in contextual understanding and its impact on critical thinking skills. In addition, it provides a foundational framework for exploring effective and responsible GenAI integration, aiming to enrich educational experiences. We conclude that future research should focus on the longitudinal effects of GenAI tools on learning outcomes, developing ethical frameworks for their use, and ensuring their adaptability to diverse learner populations to promote inclusive educational practices.

This scientometric analysis and systematic review methodologies examine the integration of gamification into steam education from 2017 to 2023. We collected data from the Scopus database. The study employed content analysis to evaluate 34 articles published during the past 7 years. The aggregate magnitude and trajectory of publications. The study examined trends in terms of annual accounts, number of articles, distribution of articles by sources, most productive sources, keywords, top collaboration groups, theme evolutions, contributions, practical consequences, and conceptual framework. The findings revealed the publication of 34 papers across 30 sources between 2017 and 2023, offering significant insights into the data and document formats. The research on steam with gamification revealed fluctuations, alternating between deceleration and positive acceleration. The articles experienced their highest growth rate in 2022. "CEUR workshop proceedings" is the primary source for the most frequently published articles. We request the keyword Plus growth rate for phrases such as "computer-aided instruction," "e-learning," and "embedded systems." The analysis's findings on thematic evolution unveiled three significant advancements: (1) Studies in science and technology have shifted their focus towards steam education. (2) Research on learning environments has expanded to include further investigation into stem education and the integration of science and technology. (3) School students' research has evolved and merged with the study of the learning process. The outcomes, contributions, and real-world significance of incorporating gamification into steam education. The conceptual framework ultimately fosters the development of creativity, problem-solving skills, and innovative abilities.

Although the ideals of higher education promote learning and personal growth irrespective of an individual's social identity including their perceived or declared race, systemic racism continues to subject Indigenous, Black, and otherwise racialized students, staff, and faculty to unwelcoming academic cultures and, at times, hostilities. The aim of this rapid scoping review was to identify and analyze some of the available peer-reviewed, published research literature between 2000 and 2022 focused on systemic racism in the Canadian higher education context. The authors analyzed 32 articles included in the scoping review to identify the theoretical frameworks used to situate each study. In addition, the analysis surfaced concepts related to how systemic racism is structured and enacted. Using a thematic analysis, a narrative summary is also presented to describe the experiences of Indigenous and racialized staff, students, and faculty. This study offers insight to those committed to building healthier academic communities through understandings of systemic racism as it is theoretically framed, conceptualized, and experienced.

Across multiple countries the term "big ideas" of mathematics has become a construct advocated as important for teachers' mathematical knowledge. Indeed, several policy or position statement documents about math learning in the United States (U.S.) have stated that "big ideas" of math is a crucial construct for teacher knowledge. With this study we sought to determine if there was consistency about this "big idea" construct that teachers of mathematics in the U.S. are advised to know. To this end, we conducted a content analysis of resources for U.S. teachers of preschool through grade 12. We determined that few resources defined a big idea and those that did lacked agreement with each other. Although most resources delineating big ideas cited Charles (2005) as the basis of their use of the construct, our analysis of the actual big ideas in each resource revealed inconsistent implementation of Charles' theoretical perspective. Thus, to move research and practice forward by more precisely defining and prioritizing this abstract construct we (a) clarified a definition, (b) specified five criteria, and (c) constructed a scholar- and teacher-friendly framework: The Big Ideas Framework. This framework consists of three ordinal levels to distinguish and prioritize the importance of big ideas based on relative size and power: Mighty Mega Math Ideas, Power Math Ideas, and Strong Math Ideas. Moreover, the big ideas construct has focused on Mathematical Knowledge for Teaching (MKT), whereas we urge the field to shift its theoretical perspective to value the entire construct or at least the two most powerful levels of the framework as aspects of Common Content Knowledge. In other words, we urge teachers and mathematics teacher educators to foreground Mighty Mega Math Ideas and Power Math Ideas with P-12 students and families to empower those we serve. Furthermore, given the dearth of peer-reviewed research about big ideas, we encourage a new branch of scholarship to analyze the impact of the practical recommendations we offered here.

Personalized learning, a pedagogical approach tailored to individual needs and capacities, has garnered considerable attention in the era of artificial intelligence (AI) and the fourth industrial revolution. This systematic literature review aims to identify key drivers of personalized learning and critically assess the role of AI in reinforcing these drivers. Following PRISMA guidelines, a thorough search was conducted across major peer-reviewed journal databases, resulting in the inclusion of 102 relevant studies published between 2013 and 2022. A combination of qualitative and quantitative analyses, employing categorization and frequency analysis techniques, was performed to discern patterns and insights from the literature. The findings of this review highlight several critical drivers that contribute to the effectiveness of personalized learning, both from a broad view of education and in the specific context of e-learning. Firstly, recognizing and accounting for individual student characteristics is foundational to tailoring educational experiences. Secondly, personalizing content delivery and instructional methods ensures that learning materials resonate with learners' preferences and aptitudes. Thirdly, customizing assessment and feedback mechanisms enables educators to provide timely and relevant guidance to learners. Additionally, tailoring user interfaces and learning environments fosters engagement and accessibility, catering to diverse learning styles and needs. Moreover, the integration of AI presents significant opportunities to enhance personalized learning. AI-driven solutions offer capabilities such as automated learner profiling, adaptive content recommendation, real-time assessment, and the development of intelligent user interfaces, thereby augmenting the personalization of learning experiences. However, the successful adoption of AI in personalized learning requires addressing various challenges, including the need to develop educators' competencies, refine theoretical frameworks, and navigate ethical considerations surrounding data privacy and bias. By providing a comprehensive understanding of the drivers and implications of AI-driven personalized learning, this review offers valuable insights for educators, researchers, and policymakers in the Education 4.0 era. Leveraging the transformative potential of AI while upholding robust pedagogical principles, personalized learning holds the promise of unlocking tailored educational experiences that maximize individual potential and relevance in the digital economy.

The incorporation of computer technology in higher education has experienced substantial expansion and evolution in recent years. This study aims to examine the possibilities and problems that emerge throughout the integration process. Through an analysis of the multifaceted components associated with integrating computer technology within higher education, this study attempts to elucidate the prospective advantages and challenges encountered by educational institutions, instructors, and learners. The study relies on an examination of pertinent academic literature, case studies, and empirical research. This study identifies and assesses various significant opportunities, such as accessibility to educational resources, personalized learning experiences, enhanced engagement and collaboration, and the acquisition of crucial digital skills that arise from the integration of computer technology. Furthermore, this study delves into the possible beneficial implications of computer technology on the efficacy of institutions, cost-efficiency, and administrative functions. Incorporating computer technology in higher education poses several challenges, such as the digital gap, concerns about privacy and data security, the necessity for faculty training and support, alterations in pedagogy, and the possible diversions that may arise due to technology that require careful consideration. The study suggests a thorough examination of the many opportunities and challenges that are involved with technological integration in higher education.

In the last twenty years, there has been a consensus around the world that effective science education is vital to economic success in the emerging knowledge age. It is also suggested that knowledge of science and scientific ways of thinking is essential to participation in democratic decision-making. Students may recognise differences and advocate diversity, but assimilating those ideas requires the creation of conditions in which students can think deeply about situations that require tolerance. Schools in many countries and regions of the world are places shaped by cultural diversity. One may observe that in many schools there are social developments like migration and demographic and value change, consequently increasing the diversity of students. The issue of diversity in science education is therefore tackled according to many aspects, e.g., culture, language, scientific literacy and gender. The aim of the present literature review is to align the ERASMUS+ project Diversity in Science towards Social Inclusion with studies and views regarding diversity and inclusion in science education. The main goals of this project were to promote inclusive education and to train and foster the education of disadvantaged learners through a range of measures, including supporting education staff in addressing diversity and reinforcing diversity among education staff. Practices dealing with dimensions of diversity and inclusion in science education are developed and the partners shared the good practices that they developed.

Currently, students tend to be less innovative and creative in learning and its implementation in everyday life. Project-Based Learning (PjBL) is a learning strategy oriented towards contextual problem solving to find solutions based on the experiences of students so that they can be more creative and innovative. This research aims to reveal how PjBL contributes to increasing student creativity. This research was conducted with a literature review of articles in international journals, international seminar proceedings, and SINTA accredited journals. Based on the results of the analysis carried out, it was found that to realize high creativity, the PjBL model is one of the best solutions to increase students' creativity. This learning model is able to make students more creative and innovative in solving every problem in everyday life by following PjBL syntax. PjBL is suggested to be an alternative for educators to train and foster the formation of students' creativity. It can also be concluded that PjBL can train and increase student creativity because the syntax of this learning model allows students to explore, create, interpret and develop products resulting from their projects.

Background: Layperson cardiopulmonary resuscitation (CPR) is an important skill with the potential to save millions of lives. However, CPR courses often require commercial, complicated, and expensive manikins. To increase access to CPR training worldwide at very low costs, Do-It-Yourself (DIY) devices may be a suitable tool for practising compressions. Objective: This scoping review is the first step in scoping and mapping the evidence on the effectiveness of DIY devices for laypersons learning adult CPR, along with defining gaps for future research. Method: This inquiry was structured by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) guidelines. A systematic search of 14 academic databases and popular media archives, with additional hand searches, identified academic reports and resources describing DIY compression device construction and/or implementation. Research studies were synthesized narratively, and the main characteristics of all resources were presented in a table. Results: Fifteen studies compared learning outcomes of CPR practice either pre-post DIY practice or between DIY and commercial manikins. Studies varied in the intervention (e.g., learning modality, time, manikin) and measurement, which precluded formal meta-analysis. Of the 55 different DIY devices described throughout all resources, 26 (47.3%) used plastic bottles for compression practice. Analysis of the resources revealed gaps in the current evidence base, such as a lack of clear assessment criteria, standardized procedures for comparisons, and sociocultural questions. Conclusion: This scoping review has identified a small number of studies which described different DIY devices for learning basic CPR skills to different extents. While there is a need for a more comprehensive search and full systematic review, the findings serve as a starting point for future investigations and support evidence-based choices regarding DIY manikins for teaching adult CPR.

The integration of gifted learners into STEM education has raised two key issues: providing suitable learning experiences for them and utilising their potential to contribute to the ultimate goals of STEM education. Hence, research in this area is essential for both researchers and practitioners in gifted education. The purpose of this study was to examine pertinent trends in recent years as revealed by the bibliometric analysis of published studies on STEM in gifted education. A total of 170 publications on gifted and STEM education obtained from Web of Science and Scopus databases were examined. The PRISMA model was used for data collection. RStudio was employed for data analysis. The results of the study revealed that 59 different journals, 170 articles, and 332 authors had contributed to the field of STEM in gifted education. The most frequently used keywords in research in both databases were "STEM", "gifted students", "gifted education", and "talent development". The most productive journals on STEM-related studies in gifted education were Rooper Review and Gifted Child Quarterly. The most relevant authors were C. June Maker and Paula Olszewski-Kubilius. The most productive institutions were the Northwestern University and the University of North Texas. Trending topics have evolved from gender differences to enrichment and science mathematically focused subjects, and then technology and engineering focused stem and talent development.

As blended learning moved toward a new phase during the COVID-19 pandemic, advancements in artificial intelligence (AI) technology provided opportunities to develop more diverse and dynamic blended learning. This systematic review focused on publications related to the use of AI applications in blended learning. The original studies from January 2007 to October 2023 were extracted from the Google Scholar, ERIC, and Web of Science databases. Finally, 30 empirical studies under the inclusion criteria were reviewed based on two conceptual frameworks: four key challenges of blended learning and three roles of AI. We found that AI applications have been used mainly for the online asynchronous individual learning component in blended learning; little work has been conducted on AI applications that help connect online activities with classroom-based offline activities. Many studies have identified the role of AI as a direct mediator to help control flexibility and autonomy of students in blended learning. However, abundant studies have also identified AI as a supplementary assistant using advanced learning analytics technologies that promote effective interactions with students and facilitate the learning process. Finally, the fewest number of studies have explored the role of AI as a new subject such as use as pedagogical agents or robots. Considering the advancements of generative AI technologies, we expect more research on AI in blended learning. The findings of this study suggested that future studies should guide teachers and their smart AI partner to implement blended learning more effectively.

In many fields, AI chatbots continue to be popular with new tools and attract the attention of universities, K12 schools, educational organizations, and researchers. The aim of this research is to review the research on AI chatbots by restricting it to the category of education and to examine this research from a methodological point of view. Therefore, we performed a systematic literature review with a sample of 37 SSCI articles published in the educational context. Within the scope of the selected studies, the advantages and disadvantages of AI chatbots in education for students and educators, as well as the types of chatbots used, year, keywords, and method were analyzed. According to the research results, increased motivation to learn and language skill development are advantages for students, while cost-effectiveness and reduced workload are advantages for educators. Limited interaction, misleading answers for learners, originality, and plagiarism are the most common disadvantages for educators. The study also includes research results and recommendations related to the methodological review.

Medical, nursing, and other healthcare students undergo specific stressors. Their mental health represents a priority for universities and the entire community. This review aimed to gather evidence about the effectiveness of individual psychological counselling offered by universities to healthcare students. A systematic review was conducted by searching PubMed, Scopus, and APA PsycInfo. A total of 1906 records were identified. The selection resulted in six studies published between 1994 and 2014. The most common design was quasi-experimental. Half focused on medical students and often interventions comprised other elements. Outcomes were related to mental health issues, academic performance, or both. The results showed statistically significant improvements, with some exceptions. The present review highlighted some specific characteristics that must be considered in order to fill the existing gap in this field, such as widening the range of studied outcomes, improving the description of the intervention, and planning randomized controlled trials (RCT) to compare strategies.

This systematic review examines 31 articles published from 2000 to 2021, comprehensively addressing mathematical resilience. These articles originate from English-language journals indexed in Google Scholar, Web of Science, ERIC, and Scopus databases. The analysis considered specific aspects including years, countries, research methods, designs, sample characteristics, data collection instruments, analysis techniques, findings, and recommendations. The majority of studies were conducted in 2021, mainly in Indonesia and the United Kingdom, with a focus on high school students. Qualitative approaches predominated, particularly qualitative descriptive research, along with quantitative approaches featuring semi-experimental designs and correlational studies. Quantitative studies commonly employed mean and frequency tables, while surveys and interviews were frequently utilized data collection tools. These investigations revealed diverse dimensions of mathematical resilience, spanning cognitive, affective, pedagogical, demographic, and social domains. The studies offer valuable recommendations for educators, researchers, teacher education programs, learning environments, students, school administration, psychological counsellors, parents, and society at large.

The purpose of this research was to explain why many people do not like mathematics and find it difficult because it is difficult to understand or because a teacher they had did not give the appropriate weight. The methodology used in this research was the quantitative method. The sample was collected through electronic questionnaires involving sixty-three (63) participants from pedagogical departments. The following survey shows the main results of the research, more specifically, that negative emotions about mathematics are more prevalent. The three main elements that characterize the successful teaching approach of mathematics at school are the transmission of knowledge by the teacher, the approach of knowledge through play, and the selection of appropriate activities. While the two most appropriate ways of approaching mathematics in kindergarten are through play but also through investigation and discovery by the child based on the participants' answers.

Though essential for graduate students' success, academic writing remains complex for a variety of reasons. Lack of institutional support and non-transparent writing practices leave graduate students in education to depend on the support of their academic supervisors. The aim of this paper is to familiarize graduate students with the genre of systematic literature review (SLR), as it is conducted in the field of education, by providing them with a self-paced approach to writing a SLR. This approach contains goals, explanations, and recommended time frames, while at the same time suggesting deliverables to be produced that would facilitate the writing of this important part of their research project.

There is an increasing interest in the integration of computational thinking (CT) in the K-12 curriculum. By integrating CT into other disciplines, the aim is to equip students with essential skills to navigate domain-specific challenges. This study conducts a systematic review of 108 peer-reviewed scientific papers to analyze in which K-12 subjects CT is being integrated, learning objectives, CT integration levels, instructional strategies, technologies and tools employed, assessment strategies, research designs and educational stages of participants. The findings reveal that: (a) over two-thirds of the CT integration studies predominantly focus on science and mathematics; (b) the majority of the studies implement CT at the substitution level rather than achieving a transformation impact; (c) active learning is a commonly mentioned instructional strategy, with block-based languages and physical devices being frequently utilized tools; (d) in terms of assessment, the emphasis primarily lies in evaluating attitudes towards technology or the learning context, rather than developing valid and reliable assessment instruments. These findings shed light on the current state of CT integration in K-12 education. The identified trends provide valuable insights for educators, curriculum designers, and policymakers seeking to effectively incorporate CT across various disciplines in a manner that fosters meaningful skill development with an interdisciplinary approach. By leveraging these insights, we can strive to enhance CT integration efforts, ensuring the holistic development of students' computational thinking abilities and promoting their preparedness for the increasingly interdisciplinary domains of digital world.

The STEAM learning environment with a gamification system has been found to promote innovators by enhancing creative thinking and innovation skills in students. It can engage and motivate students, making the course content come alive. The objective of this study is to provide an overview of the research conducted in the field of STEAM education with a focus on gamification, specifically examining studies published within the last six years. A bibliometric analysis and systematic reviews were performed to examine the trends in published literature on steam learning environment on gamification systems to promote innovators between the years 2018 and 2023. The retrieval of pertinent documents was conducted by employing keywords associated with "TITLE-ABS-KEY ("steam" AND "gamification" AND "innovation" AND "skill" AND "innovator" AND "learning environment" AND "ecosystem")" in the title, abstract, and keywords of the documents. Consequently, a total of 5 documents were obtained from the Scopus database for the purpose of conducting bibliometric analysis and systematic review. The review examines the pattern of publication growth, identifies the papers with the highest citation counts, determines the primary sources of these articles, assesses the productivity of writers, analyzes the leading countries contributing to the field, and identifies the prominent subject areas within the research domain. Based on the results of our investigation, it can be concluded that Thailand exhibits the highest level of productivity in terms of publications and citations. Education and Information Technologies is widely recognized as the primary scholarly resource in its field. Through the co-occurrence of keywords analysis, we determined that the most significant keywords associated with steam learning environment on gamification systems to promote innovators are gamification, creative thinking, steam education, design thinking and digital learning ecosystem and so on. The computer science and social science domains have the highest number of published documents.

The goal of the study is to examine a comprehensive review of research involving augmented reality (AR) in mathematics teaching during the previous 10 years. For this purpose, the research was conducted using a systematic review technique. It synthesized a set of 60 articles from 2012 to 2021. Two researchers used content analysis to analyze the data. According to the findings, the majority of publications were published in 2019, with studies mostly aiming at assessing the influence of AR applications on mathematical achievement and exposing viewpoints on AR applications used in mathematics education. Also, secondary school students were mostly preferred as participants. Furthermore, most of the studies found that mathematics teaching with AR applications had a positive impact on academic standing and the teaching process, and that AR applications positively affected attitudes in mathematics lessons, increased the motivation of individuals towards mathematics lessons, and improved three-dimensional thinking skills.

This article reports on a systematic review of research studies published from 2010 to 2021 on the use of apps for learning in the secondary English as a Second Language (ESL) classroom. We extracted relevant information such as the studies' country/region, research design, sample size, students' age, apps' names to conduct a thematic analysis to associate the types of apps and their learning outcomes. The findings suggest that quiz apps support vocabulary acquisition, puzzle apps support vocabulary and grammar learning, platform apps support reading and writing development, augmented reality apps support increased engagement, and virtual reality apps support development of listening and speaking skills. The factors involved in the effective use of apps for learning in the English classroom include the use of quality apps to support the teacher's pedagogy, the profile and readiness of students to engage in digital learning, and the recognition that a classroom ecology is needed for effective integration of digital resources for teaching and learning.

Multimedia has been a strategy in teaching processes, especially within the learning management system (LMS). However, multimedia tools have not delivered satisfaction towards the learning process. In addition, the lack of engagement within the LMS has been a real problem for e-learning. Therefore, this study aims to identify what the challenges are in implementing multimedia and how multimedia could enhance user engagement. This study hopes to give both academics and practitioners insights into a successful multimedia implementation within the LMS platform. This study is conducted through a systematic literature review (SLR) based on the PRISMA methodology, which contains four filtering phases: identification, screening, eligibility, and inclusion. The study managed to obtain 25 relevant papers on multimedia and user engagement after several filtering processes. It was found that interactive multimedia was the most implemented multimedia type. Furthermore, the pedagogical strategy was claimed the most important challenge that needs to be considered in multimedia implementation. Moreover, the results show that perceived interaction within multimedia could significantly enhance user engagement in LMS.

In contemporary education, game-based learning (GBL) has become a captivating instructional method applied across various academic subjects, including mathematics. The utilization of online GBL in mathematics education constitutes a segment of the activities that mathematics educators can employ during their lessons to teach students and enhance their educational progress. The primary goal of this study was to examine recent research endeavors involving the use of online GBL in mathematics education for Generation Z cohort. To achieve this objective, a systematic review (SR) was carried out to investigate the types of online games employed, analyze previous research methodologies, and explore the educational contexts relevant to mathematics education that align with the needs of Generation Z. An SR process was conducted to gather relevant articles from three databases, namely Science Direct, Scopus, and Springer. Full-text articles were meticulously assessed based on predetermined eligibility criteria. The review revealed many online games suitable for mathematics education, including Augmented Reality, Digital Inquiry Game, E-Rebuild, Math-Island Game, NanoRoboMath, Quizizz, and Wuzzit Trouble. The incorporation of online games in mathematics education offers numerous advantages.

A scientometric analysis and systematic review of an immersive virtual learning environment (IVLE) designed to improve the development of hard skills comprised this study. The review focused on the period between 2016 and 2023 and was conducted using the Scopus database. This study employed a scientometrics analysis and systematic review methodology. In this study, a comprehensive analysis was conducted on a corpus of 12 scholarly articles that have been published within the last 8 years. This study looked at the aggregate magnitude and trajectory of scholarly publications and looked at a number of trends in scholarly research, including annual reports, article counts, article distribution across different sources, finding the most useful sources, keyword analysis, looking into the best collaboration groups, looking at how themes have changed over time, judging contributions, and practical implications. The primary findings regarding the data and document types indicated that a total of 12 articles were published across 10 different sources within the timeframe of 2016 to 2023. The research conducted on IVLE for the development of hard skills exhibited fluctuations in its pace, alternating between deceleration and positive acceleration. The growth rate of the articles peaked in 2022. The primary publication with the greatest of source is "Lecture Notes in Networks and Systems." Keyword Plus growth rate for terms like "virtual reality," "e-learning," and "teaching." The nations exhibit a high degree of collaboration in the field of research. The findings indicated that the authors hailing from Mexico and Colombia exhibited the greatest frequency (n = 2). The thematic evolution of the study indicated two significant advancements: firstly, the emergence of e-learning studies that have propelled the field of e-learning, and secondly, the integration of virtual reality into e-learning practices. The classification of applications encompasses various components: title, solution, learning strategy, and learning tasks.

Background: The review aimed to investigate the effectiveness of parent-child relationship interventions for families of children with intellectual disability up to 12 years old. Methods: Quasi-experimental or randomised controlled trials (RCTs) of interventions targeting the parent-child relationship where =50% of children had an intellectual disability were included. Meta-analyses of parent-child relationship outcomes and child outcomes used standardised mean difference as the effect size. Results: Twenty-seven papers were included (N = 1325). Parent-child relationship outcomes improved significantly (n = 1325; g = 1.08, 95% CI: 0.64, 1.52) with a large effect size that was robust to sensitivity analyses. Child developmental outcomes improved significantly (n = 1082; g = 0.65, 95% CI: 0.23, 1.07), and indicated a large effect size for child socialisation and communication. Conclusions: Findings suggest that interventions targeting parent-child relationship quality are associated with substantial improvements in parent-child relationship and may improve child outcomes related to socialisation and communication.