Education Domain Research Articles

How does cooperative learning work with students? Literature review in physical education

Cooperative learning stands as a recognized educational approach with potential to facilitate desired learning outcomes. This literature review aims to examine the existing body of scientific literature concerning the effects of cooperative learning on students within the realm of physical education. While a systematic review encompassing the years 2014 to 2019 was previously undertaken (Bores-García et al., 2021), this study provides a more recent overview spanning from 2019 to 2024. Utilizing three prominent databases (ScienceDirect, PubMed, and Scopus), articles pertaining to cooperative learning in physical education were selected in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Following the application of exclusion criteria, a total of 11 articles were identified and categorized. Overall, the findings indicate that cooperative learning proves effective in enhancing students' motivation, participation, social skills, and learning achievements within the domain of physical education. Tailoring cooperative learning strategies to align with specific learning objectives and student characteristics emerges as pivotal in enriching students' educational experiences and accomplishments in this field. Despite the insights gained, limitations inherent in the review are acknowledged, warranting further global exploration through additional literature reviews or mapping studies (including bibliometric and scientometric analyses). Moreover, continued research on the application and impact of cooperative learning is deemed imperative in light of contemporary societal values emphasizing social interaction, dialogue, respect, as well as the significance of physical activity and sports. Keywoard: Learning model, cooperative learning, physical education, students

Duality in barriers and enablers of augmented reality adoption in education: a systematic review of reviews

Purpose The study aims to identify the key advantages/enablers and disadvantages/barriers of augmented reality (AR) implementation in education through existing reviews. It also examines whether these factors differ across educational domains. Design/methodology/approach This study conducted a systematic review of reviews to synthesize evidence on the barriers and enablers influencing AR adoption in education. Searches were performed across five databases, with 27 reviews meeting the inclusion criteria. Data extraction and quality assessment were completed. Content analysis was conducted using the AR adoption factor model and consolidated framework for implementation research. Findings The findings reveal several enablers such as pedagogical benefits, skill development and engagement. Equally, multiple barriers were identified, including high costs, technical issues, curriculum design challenges and negative attitudes. Interestingly, duality emerged, whereby some factors served as both barriers and enablers depending on the educational context. Originality/value This review contributes a novel synthesis of the complex individual, organizational and technological factors influencing AR adoption in education across diverse domains. The identification of duality factors provides nuanced understanding of the multifaceted dynamics shaping AR integration over time. The findings can assist educators in tailoring context-sensitive AR implementation strategies to maximize benefits and minimize drawbacks. Further research should explore duality factors and their interrelationships in AR adoption.

Leveraging Visualization and Machine Learning Techniques in Education: A Case Study of K-12 State Assessment Data

As data-driven models gain importance in driving decisions and processes, recently, it has become increasingly important to visualize the data with both speed and accuracy. A massive volume of data is presently generated in the educational sphere from various learning platforms, tools, and institutions. The visual analytics of educational big data has the capability to improve student learning, develop strategies for personalized learning, and improve faculty productivity. However, there are limited advancements in the education domain for data-driven decision making leveraging the recent advancements in the field of machine learning. Some of the recent tools such as Tableau, Power BI, Microsoft Azure suite, Sisense, etc., leverage artificial intelligence and machine learning techniques to visualize data and generate insights from them; however, their applicability in educational advances is limited. This paper focuses on leveraging machine learning and visualization techniques to demonstrate their utility through a practical implementation using K-12 state assessment data compiled from the institutional websites of the States of Texas and Louisiana. Effective modeling and predictive analytics are the focus of the sample use case presented in this research. Our approach demonstrates the applicability of web technology in conjunction with machine learning to provide a cost-effective and timely solution to visualize and analyze big educational data. Additionally, ad hoc visualization provides contextual analysis in areas of concern for education agencies (EAs).

English in Sweden: Functions, features and debates

AbstractEnglish has for a long time had a strong position in the Swedish sociolinguistic context. English is ubiquitous in the contemporary Swedish public sphere, and good knowledge of English can be found in all sections of society. Far from only being used as a lingua franca for international communication, English is today also pervasively used in domains of business, higher education and academia, as well as in the media and for entertainment purposes. This growing presence of English in Sweden has led to language debates about the status and the role of English in Sweden and concerns of whether English is a threat to Swedish. This article discusses the status and the manifold functions of English in Sweden and describes the uses and features of English in the Swedish context. It concludes with a discussion of the current debates on the uses and the role of English in Sweden.

Performance of ChatGPT on Chinese Master's Degree Entrance Examination in Clinical Medicine.

ChatGPT is a large language model designed to generate responses based on a contextual understanding of user queries and requests. This study utilised the entrance examination for the Master of Clinical Medicine in Traditional Chinese Medicine to assesses the reliability and practicality of ChatGPT within the domain of medical education. We selected 330 single and multiple-choice questions from the 2021 and 2022 Chinese Master of Clinical Medicine comprehensive examinations, which did not include any images or tables. To ensure the test's accuracy and authenticity, we preserved the original format of the query and alternative test texts, without any modifications or explanations. Both ChatGPT3.5 and GPT-4 attained average scores surpassing the admission threshold. Noteworthy is that ChatGPT achieved the highest score in the Medical Humanities section, boasting a correct rate of 93.75%. However, it is worth noting that ChatGPT3.5 exhibited the lowest accuracy percentage of 37.5% in the Pathology division, while GPT-4 also displayed a relatively lower correctness percentage of 60.23% in the Biochemistry section. An analysis of sub-questions revealed that ChatGPT demonstrates superior performance in handling single-choice questions but performs poorly in multiple-choice questions. ChatGPT exhibits a degree of medical knowledge and the capacity to aid in diagnosing and treating diseases. Nevertheless, enhancements are warranted to address its accuracy and reliability limitations. Imperatively, rigorous evaluation and oversight must accompany its utilization, accompanied by proactive measures to surmount prevailing constraints.

Globalization And Higher Education Institutions: Opportunities and Challenges for Academic Institutions in Implementing ITC

India's educational path has changed dramatically over the years, moving from traditional mentoring and learning practices to creating the second-largest higher education system in the world. The swift development of Information Technology (IT) has accelerated this shift and brought about significant adjustments in the fields of education, services, employment, and business operations. By removing prior barriers, the integration of information, technology, and communication (ICT) within the educational domain has significantly transformed access to learning resources, knowledge, and information. The Covid-19 pandemic's outbreak sped up the adoption of ICT and made it necessary to switch from traditional in-person instruction to remote learning methods during lockdowns. This shift brought with it a multitude of opportunities and difficulties in addition to broadening the scope and adaptability of postsecondary education. This study carefully analyzes the state of IT integration in higher education today, outlining both the benefits and drawbacks of this approach. The study used a quantitative methodology, with questionnaires serving as the main methodological instrument. 86 instructors connected to an Indian university took part in the survey as responders. This study offers important insights for policymakers, educators, and stakeholders to manage the difficulties of the integration in higher education by critically analyzing both the benefits and obstacles. The ultimate goal is to support strategic planning and well-informed decision-making to fully utilize ICT for the advancement of higher education in India and abroad.

Integration of Intrinsic and Extrinsic Motivation in Second Language Acquisition: Magnetism as a Proposed Theory

Language learning motivation is significantly shaped by both external and internal factors, influencing the learning process in either a positive or negative manner. These factors span educational and environmental domains, particularly in a demotivated learning society. Thus, this paper introduces a theory that combines intrinsic and extrinsic motivation components, aiming to attract learners to language learning, given its relevance to knowledge across diverse domains and global understanding. This theoretical paper not only offers an overview of previously proposed theories, assessing their merits and limitations but also delves into the conceptualized components of the new theory, Magnetism, along with its foundational principles. Magnetism comprises two intricately linked major components elucidating intrinsic and extrinsic motivation, detailing their interaction, mutual influence, and their role in fostering a positive attitude toward language learning. Additionally, the paper delineates three types of relationships that connect the components and their constructs to each other and to the overall framework.

A qualitative inquiry of minimalistic mindset outcomes on Iranian English language teachers’ well-being

Language teaching is a tense occupation wherein countless negative stressors such as students’ misbehaviors, low income, assessment issues, and personal conflicts might threaten the well-being and happiness of teachers. Thus, cultivating a flexible mindset responsive enough to tackle various stressors has become a promising research scope. In this vein, minimalism, as a worldview that helps people reduce unwanted and excessive distractors, might be a possible solution that would possibly reduce the teachers’ life and occupation stressors and cultivate their well-being-related strengths. However, the concept has been ignored in educational domains. Therefore, the present exploratory study sheds light on the minimalistic mindset of 34 Iranian English language teachers, recruited through purposeful sampling method and partook in an interview. Their answers were analyzed through thematic analysis to see whether minimalistic mindsets of teachers contribute to their welfare or not. The analyses of the qualitative data signaled that the findings would contribute to the educational psychology and language education literature by suggesting that teachers with minimalistic worldviews towards life are less stressed and concerned about distractors and are more prone to value inner peace, tolerance, and rapport in their personal and professional life.

High-Fidelity, Indigenously Prepared, Low-Cost Moulage as a Valid Simulation Tool to Improve Trauma Education.

Background Simulation-based trauma education facilitates repeated practice in a controlled and safer environment for the learner without any risk to the patient's well-being. Moulage contributes to the perception of reality during training using standardized patients. However, the high cost of commercial moulage items is often prohibitive for regular use. This study aimed to assess the effectiveness of indigenously prepared, low-cost moulage as a valid simulation tool to improve trauma education, explore possible replacements of commercial moulage products, and determine their merits and demerits. Methodology Readily available economic items were used to make low-cost moulage on the simulated patients to replicate trauma victims. A cross-sectional design used a pre-validated Modified Moulage Authenticity Rating Scale to collect data from 61 participants of Advanced Trauma Life Support and Advanced Trauma Care for Nurses courses to analyze the effectiveness and fidelity of moulage. Results In total, 54 (89%) participants scored the low-cost moulage to provide high fidelity effectively. The majority of respondents graded the authenticity of moulage as good. Overall, 46 (75%) participants felt moulage injuries were quite realistic. All agreed that the moulage-based simulation offered a good teaching-learning alternative to assess and manage trauma victims. Further, 45 (73%) participants felt they were in an actual clinical situation, and 58 (95%) stated it could help them in their clinical practice. Conclusions Indigenously prepared, low-cost moulage is a feasible and cost-effective means to enhance fidelity in simulation-based trauma education. It can also be a possible replacement for commercial moulage. Further research is needed to rigorously evaluate the effectiveness of indigenously prepared, cost-effective moulage in trauma education to enhance patient care outcomes. This technique can also be easily translated into other simulation-based medical education domains.

THE UTILIZATION OF CODE-SWITCHING AMONG STUDENTS IN THE ENGLISH DEPARTMENT

This study aimed to investigate and analyze the application of code-switching by students enrolled in the English Department. The research employed a quantitative descriptive methodology, utilizing a questionnaire to collect data from students who actively incorporated code-switching in their daily interactions on campus. Results indicated that students in the English Department employed code-switching in various communication contexts, including informal class conversations, campus interactions, and social engagements beyond the campus boundaries. The primary motives behind the use of code-switching were identified as the need for self-expression, enhanced comprehension, and adaptation to social and cultural settings. Furthermore, the research findings highlighted that the prevalent code-switching pattern involved shifts between English and Indonesian languages, particularly emphasizing the use of specific phrases or words lacking direct equivalents in the target language. This research contributes to a more profound comprehension of the code-switching phenomenon among English Department students, shedding light on its implications in social, cultural, and educational domains. Recommendations derived from this study emphasize the importance of adopting a more creative approach to language learning that accommodates the diverse linguistic backgrounds of students.

Training Undergraduate Medical Students in Shared Decision Making: A Systematic Review

ABSTRACT In the field of healthcare delivery, shared decision making (SDM) refers to a collaborative process, wherein both patients and the healthcare professionals mutually work to make informed and consensus decisions with reference to the kind of medical care that will be administered to patients. The purpose of the current review is to explore SDM in health care, ascertain the role of medical education, and identify the ways to train and assess undergraduate medical students in competencies pertaining to SDM. An extensive search of all materials related to the topic was carried out on the PubMed and Google Scholar search engines and a total of 29 articles were selected based on their suitability with the current review objectives and analyzed. Keywords used in the search include learning resources in the title alone only (viz. shared decision making [ti] AND patient [ti]; shared decision making [ti] AND medical education [ti]; shared decision making [ti] AND assessment [ti]; shared decision making [ti] AND self-assessment [ti]; shared decision making [ti]; shared decision making [ti]). In the domain of medical education, the promotion of SDM essentially will require a multipronged approach to enable its integration into the medical curriculum. However, we must remember that mere teaching–learning methods would not improve it unless they are supplemented with assessment methods, otherwise, we will fail to deliver sustained results. In conclusion, SDM in medical education and healthcare industry represents a transformative shift from the traditional paradigm to a patient-centered approach that empowers both patients and healthcare providers, including budding medical students. The need of the hour is to advocate and encourage structured integration of SDM in the medical curriculum and support the same with periodic assessments.

Virtual reality and the simulated experiences for the promotion of entrepreneurial intention: An exploratory contextual study for entrepreneurship education

Digital technologies will dramatically change entrepreneurship education. Virtual Reality (VR) development and its usage in the domain of entrepreneurship education is a pedagogical prelude to a widely-using virtual entrepreneurship teaching, learning and training in near future. The goal of this research is to study the impact of VR technology on the Entrepreneurial Intention (EI) of Iranian university students. Thus, 150 university students were randomly selected. Since this research is a Quasi-experimental study, the students were allocated to two experimental groups and one control group. Initially, the pretests were performed. Then, the first group got VR-based entrepreneurship training, and the second group received traditional teacher-centered entrepreneurship education. After eight-week courses were separately held for each group, the posttests were performed. Later the ANOVA test results revealed significant differences in the EIs among the three groups in the posttests. Further, by applying the Tukey's test, the results demonstrated that the VR-based entrepreneurship training course has had the most effective impact on the students' EIs. The results encourage further using of VR in future entrepreneurship education and its relevant teaching approaches at Shiraz University.

Serious Games in Medical Education: What it Adds? How to Go about It?

ABSTRACT Medical educators have adopted a number of teaching–learning methodologies to make their sessions interactive considering the need for active engagement of students to strengthen the process of learning. One among them is the use of serious games, wherein digital applications are used to enable the attainment of the intended learning objectives. A wide range of serious games can be designed to target different areas in healthcare training, which cumulatively provide a holistic and engaging approach for students to acquire knowledge and develop skills. Owing to the extensive areas and domains in medical education wherein we can use serious games, the benefits attributed to them are immense. The successful introduction of serious games into the medical curriculum depends on several factors and we must adopt a systematic approach to optimize the benefits. In conclusion, the introduction of serious games into medical education can benefit medical students by helping them master multiple skills required for successful clinical practice. Acknowledging the changing landscapes in medical education, there is an immense need that teachers and administrators to explore the possibility of integrating these games into medical schools.

Metacognition in mathematics education: From academic chronicle to future research scenario–A bibliometric analysis with the Scopus database

Originally introduced by psychologists, metacognition has attracted considerable interest within academic spheres and has transformed into a significant research focal point in the field of mathematics education, commonly denoted as ‘mathematical metacognition.’ This investigation constitutes the primary endeavor to comprehensively examine all publications within the Scopus database related to metacognition in mathematics education (MiME). The data encompasses a total of 288 documents, authored by 653 individuals hailing from 58 different countries and territories and disseminated across 162 diverse sources. Notably, this examination delineates two distinct developmental phases, with a particularly pronounced surge in publications emerging from the year 2016 onward. Although Asia has two representatives in the top-10 in terms of number of publications (China and Indonesia), authors from developed countries have made significant contributions to research on MiME, especially the United States, Germany, Turkey, and Belgium. Among the 15 most influential academic journals, merely two pertain to the domain of mathematics education, whereas the majority belong to the disciplines of psychology and social sciences (educational science). The main research directions that have been pointed out are adults’ metacognitive abilities, considering gender differences and problem-solving abilities; metacognition and the ability to learn mathematical concepts (more recently arithmetic concepts); control metacognitive processes and students’ academic achievement. Early-career researchers as well as interested scholars can find important scholars, documents, and research directions on this topic to refer to for their research activities.

Automatic Translation between Mixtec to Spanish Languages Using Neural Networks

This paper introduces a novel method for collecting and translating texts from the Mixtec to the Spanish language. The method comprises four primary steps. First, we collected a Mixtec–Spanish corpus that includes 4568 sentences from educational and religious domain texts. To enhance the parallel corpus, we generate synthetic data with GPT-3.5. Second, we cleaned the data with a semi-automatic approach followed by preprocessing and tokenization. In preprocessing, we removed stop words, duplicated sentences, special characters, and numbers and converted them to lowercase. Third, we performed semi-automatic alignment to find the correspondence of Mixtec–Spanish sentences to generate sentence-level aligned texts necessary for translation. Finally, we trained automatic translation models based on recurrent neural networks, bidirectional recurrent neural networks, and Transformers. Our system achieved a BLEU score of 95.66 for Mixtec-to-Spanish translation and 99.87 for Spanish-to-Mixtec translation. We also obtained a translation edit rate (TER) of 0.5 for Spanish-to-Mixtec and a TER of 16.5 for Mixtec-to-Spanish. Our research stands out as a pioneering effort in the field of automatic Mixtec-to-Spanish translation in Mexico, filling a gap identified in the current literature.

초ㆍ중등 미디어 리터러시 교육을 위한 프레임워크 연구

This study aims to develop a framework for teaching media literacy in elementary, secondary, and high schools by considering the rapidly changing characteristics of learners’ mediaenvironments and various related fields of this subject. The research method includes literature research, expert advice, and researcher meetings. We conducted literature research to revealthe sub-elements constituting media literacy and the hierarchically constructed relationships between these elements. Furthermore, the review opinions of 11 expert advisors from the media communication and subject education domains were collected and analyzed. A two-dimensional expansion structure with vertical and horizontal axes is characteristic of the framework developed in this study. Moreover, the media literacy framework’s content areas are divided into “consuming”, “prosuming”, and “being”. For each area, detailed core competencies organized into functional and critical literacy were established. The consuming area includes “functional consumption → analysis → evaluation”; the prosuming area consists of “functional expression → diffusion/sharing → participatory creation”; and the being area includes “self-regulation and safety → digital self-building → digital rights understanding and reflection → collaborative problem solving”. The media literacy framework developed in this study can be used to organize a media literacy curriculum. Particularly, the results are expected to be useful in systematically designing and implementing media literacy education in schools as media-related educational content is significantly expanded in the national curriculum, which was revised in 2022, and related educational content is ubiquitous in all subjects and grades.

Ffsgc-Based Classification of Environmental Factors in IOT Sports Education Data during the Covid-19 Pandemic

The COVID-19 pandemic has posed unprecedented challenges to sports education, requiring the implementation of rigorous measures to ensure the safety of athletes and staff. In this context, the integration of Internet of Things (IoT) technologies, deep learning image processing, and sustainable optimization The Fruitfly Statistical Gradient Classifier (FfSGC) is a novel algorithm developed to address the challenges of classification tasks in the context of IoT sports education data during the COVID-19 pandemic. This algorithm combines fuzzy set theory and Least Absolute Shrinkage and Selection Operator (LASSO) to effectively handle the uncertainty and imprecision inherent in the dataset. The FfSGC algorithm incorporates feature selection and extraction techniques, such as Fruitfly optimization and Principal Component Analysis (PCA), to identify the most relevant features for classification. By considering the impact of COVID-19 on player performance, environmental factors, injury risk, and training load, the algorithm enables accurate and robust classification. Simulation experiments were conducted using different datasets related to player performance, environmental factors, injury risk, and training load. The results showed that the FfSGC algorithm consistently achieved high accuracy, precision, recall, F1-score, and mean squared error across the datasets. Compared to existing classification algorithms like SVM and Random Forest, FfSGC demonstrated superior performance in terms of classification metrics. The FfSGC algorithm has significant implications for the sports education domain during the COVID-19 pandemic. It provides valuable insights for decision-making processes related to COVID-19 prevention and control strategies in sports settings.

Discovery of Actionable Patterns Through Scalable Vertical Data Split Method with Meta Actions and Information Granules

Action Rules are rule based systems that extract actionable patterns which are hidden in big volumes of data. Users need recommendations on actions they can undertake to increase their profit or accomplish their goals, this recommendations are provided by Actionable patterns. In the technological world of big data, massive amounts of data are collected by organizations, including in major domains like financial, medical, social media and Internet of Things(IoT). To analyze and store such a massive amount of data, distributed computing frameworks like Hadoop and Spark are introduced to store the big data in a distributed fashion which manage and analyze them in parallel. The traditional Action Rules extraction models, which analyze the data in a nondistributed fashion, do not perform well when dealing larger datasets. Serious complications of discovering Action Rules with such distributed environments are - data distribution among computing nodes and calculation of major parameters including : support, confidence, utility, and coverage, that represent the whole data. Information granules form basic entities in the world of Granular Computing(GrC), which represents meaningful smaller units derived from a larger complex information system. In this research, we focus on the data distribution phase of the distributed Actionable Pattern Mining problem. To handle the data distribution task by splitting the big data in both horizontal and vertical fashions - we propose partition threshold rho. In this work, we concentrate on using information granules to implement a vertical data splitting strategy with Meta Actions. Hence our results discover valuable Actionable Knowledge with application in Business and Education domains.

FORMATION OF PROFESSIONAL LANGUAGE COMPETENCE IN A FOREIGN LANGUAGE FOR STUDENTS MAJORING IN PHYSICS

The research article investigates the effectiveness of an integrative teaching methodology in developing professional language competence among Physics students. The goal of the study was to determine the peculiarities of forming components of the language professional communicative competence, and to reveal criteria for the development of this competence in practical sessions using a foreign language. To achieve the goal of the study the methodological experiment was conducted based on the Eurasian National University named after L. N. Gumilyov. Employing various activities such as collaborative discussions, project-based learning, role-play simulations, and written assignments, the study focuses on the enhancement of specific language skills, including speaking and writing proficiency, acquisition of professional terminology and vocabulary, and the development of critical thinking and analytical abilities. The findings aim to contribute valuable insights into the pedagogical strategies that prove most beneficial in fostering comprehensive language competencies within the specialized domain of Physics education. Keywords: professional language competence, language skills, integrative approach, physics students, professional context, communication.

Impact of Head Teachers’ Democratic Leadership Style on Teachers’ Performance at Public Secondary Schools

This paper generally aims to examine the impact of head teachers` Democratic leadership styles on teachers` performance at the public secondary schools. Leadership is a perilous and central problem for all administrations and institutions round the world. Many nations in the world have attempted to highlight and emphasize the perception of effective headship in a variety of ways in their organizations regular events, programs, and presentations. In Pakistan, there is a rapid and growing awareness of leadership in a various sectors and fields, in tandem with a sharp increase in the number of teachers, universities, colleges, and schools, as well as others involved directly or indirectly in the educational domain. The study specifically aims to investigate the impact of Head teachers` Democratic leadership styles on Teachers` Performance at public secondary schools and to examine the difference between Head teachers` Democratic leadership styles and Teachers` Performance at public secondary schools. This research applied descriptive survey design having quantitative approach. The Likert scale five-point was used as a tool to collect the response from representative of the group of interest of the researcher. It revealed that the head teachers` Democratic leadership styles have positive impact on teachers` performance and there is also a strong correlation between the variables.