Recommendations For Education Research Articles

HEI’s commitment on sustainability issue toward nation building: How Indonesia HEI policies conform to SDGs?

higher education institutions (HEIs), and education in general, are playing a crucial role the discourse of promoting sustainability. HEIs have a substantial responsibility to increase awareness and access to the technology and resources required to build a sustainable future through education. HEIs have a substantial responsibility to increase awareness and access to the technology and resources to build a sustainable future through education, research, and policy recommendation. Therefore, strategic plan policies at many levels are required to be catalysts and key engines of social transformation in order to establish and encourage the best practices of sustainability in higher education. The paper aims to map and identify all of the patterns and characteristics of sustainability policies at Indonesian HEI and to what extend it contributed to the national sustainable policy. Data was collected by searching policy documents on each target university’s website using the terms “sustainability”, “green campus”, and “sustainable development”, “kampus hijau”, dan “berkelanjutan”. The analysis in this research has been limited by curating only the Top 10 Universities from listed in UI Greenmetrics of 2022. The result shows the pattern and characteristics of sustainability policy in Indonesia is still not adequately and systematically structured, Furthermore, several HEIs structured policies in order to comply with Greenmetrics’ regulations. In conclusion, the situation may be the result of the absence of a national-level policy in Indonesia that gives comprehensive guidance and blueprints for how sustainable practices and policies should be implemented at HEIs.

Peer Critiquing in Scientific Inquiry: Enhancing Preservice Teachers' Reasoning, Epistemic Knowledge, and Scientific Argumentation through Innovative Teaching Strategies in an Undergraduate Science Content Course

The study explored the impact of peer critiquing on preservice teachers' understanding of the nature of science, scientific inquiry, and argumentation in an undergraduate science content course. The aim was to investigate innovative teaching strategies that enhance preservice teachers' comprehension of these key aspects. This study showcased implementing these strategies in which the preservice teachers actively critique and evaluate each other's work, fostering a culture of constructive feedback and reflection. Data were collected from 38 preservice teachers from three data sources that included a group argumentation of an assigned environment scenario of the endangered species, a peer critique of a video presentation of the scientific explanation of an individual environmental science topic, and finally a peer critique on someone else’s scientific inquiry study that could either be observational or experimental. To achieve this goal, we used the class activities to incorporate new ideas within the classroom by documenting the preservice teachers’ practices as they reflect upon their peers’ practices. While video critiques indicated a general competency, there was a need for further development in analyzing scientific concepts. The final class critiquing session demonstrated preservice teachers' self-awareness and understanding of the importance of relevant research in scientific inquiry. Peer critiquing activities positively impacted preservice teachers' reasoning skills, as evidenced by their ability to construct well-reasoned arguments and analyze empirical evidence. By examining preservice teachers' experiences and outcomes, we seek to provide valuable insights and recommendations for educators striving to enhance preservice teachers' understanding of the nature of science and scientific inquiry through peer critiquing.

A strategic approach to sustainable growth of the psychological professions’ workforce in physical healthcare

Psychological practice in physical healthcare results in better recovery and outcomes for patients/service users and their families and/or carers. Therefore, psychological professionals working in physical and integrated healthcare are ideally placed to make a significant impact on health and wellbeing outcomes and prevention of future disease. This is not yet reflected in health care strategic delivery, with psychological practice within physical health care often reliant on time-limited funding and subject to regional variation in commissioning. This paper outlines the key issues and presents the case for change. This includes recommendations for education, supervision, leadership and outcomes measurement to support a more comprehensive approach to psychological practice, and the sustainable growth of the psychological professions’ workforce in physical healthcare.

Personal Learning Environment and Writing Performance: The Case of Jordanian Young EFL Learners

This study examines the potential effect of incorporating personal learning environment-based instruction on young EFL learners’ writing performance. A quasi-experimental design was used as two intact sixth-grade sections of twenty pupils each from Juffein Primary School for Boys in the Directorate of Education of the Koura District, Irbid (Jordan) constituted the sample of the research. With a toss of a coin, one section was assigned as the control group and the other as the experimental group. A ten-week instructional treatment based on the creation of individual personal learning environments was designed and implemented with the experimental group following proper validation procedures. The control group was instructed using the guidelines of the prescribed Teacher’s Book. A writing test was also designed, validated, and administered to all 40 participants before and after the treatment. The findings revealed that the experimental group outperformed the control group with statistically significant differences found between the two groups in both overall writing and writing features (viz., ideas, organization, sentence fluency, conventions, and legibility). Relevant recommendations and pedagogical recommendations are put forth.

Analysis of Job Recommendations in Vocational Education Using the Intelligent Job Matching Model

Vocational high schools are one of the educational stages impacted by Indonesia's low quality of education. Vocational High Schools play a crucial role in improving human resources. Graduates of Vocational High Schools can continue their education at universities or enter the workforce directly. Many students are found to have not yet considered their career path after graduation. At the same time, graduates are still expected to find mismatched employment with their expertise and skills. This research uses CRISP-DM, or Cross Industry Standard Process for Data Mining, to build machine learning models. The approach used is content-based filtering. This model recommends items similar to previously liked or selected items by the user. Item similarity can be calculated based on the features of the items being compared. After students receive job recommendations through intelligent job matching, they can use these recommendations as references when applying for jobs that align with their results. This process helps students direct their steps toward finding jobs that match their profiles, ultimately increasing their chances of success in the job market. These recommendations are crucial in guiding students toward career paths that align with their abilities and interests. The Intelligent Job Matching Model developed in this research provides recommendations for the job-matching process. This model benefits graduates by providing job recommendations aligned with their profiles and offers advantages to the job market. By implementing the Model of Intelligent Job Matching in the recruitment process, applicants with job qualifications can be matched effectively.

Exploring Language Learning Motivation and Strategies in Viet-namese High School Students: A Case Study in Ho Chi Minh City

This study investigates the motivation and learning strategies of high school students in Ho Chi Minh City, Vietnam, and explores the relationship between these two factors. The research involved 76 students from Dang Khoa private high school who completed adapted questionnaires to assess their types of motivation (intrinsic or extrinsic) and language learning strategies. Instruments were modified from established scales - Chang's (2005) and Vaezi's (2008) for motivation, and the Strategy Inventory for Language Learning, Version 7.0 (Oxford, 1989) for strategies. The findings indicate that the extrinsic motivation (e.g., external pressures, instrumental goals) was more prevalent than intrinsic motivation (e.g., personal interest, enjoyment) among the participants. In addition, a positive correlation was found between motivation level and strategised learning. Students with stronger motivation tended to employ a wider range of learning strategies. Based on these results, the study concludes with recommendations for educators to enhance student motivation and support their strategic use of learning practices for effective English language acquisition.

Empowering Sustainable Development and Security through Computer Education and Technology Integration

This study explores the pivotal role of computer education and technology integration in empowering sustainable development and security. The study employs a comprehensive literature review to establish the theoretical framework, identifying gaps in current knowledge. Utilizing a mixed-methods approach, we investigate the impact of technology on sustainable development and security outcomes. Empirical findings demonstrate the positive correlation between computer education, technological integration, and the enhancement of both sustainable development initiatives and security measures. The discussion delves into the implications of these results, emphasizing the potential for technology to catalyze positive change. Acknowledging challenges and limitations, the paper concludes with actionable recommendations for policymakers, educators, and practitioners seeking to leverage technology for societal advancement.

Assessing Concepts, Procedures, and Cognitive Demand of ChatGPT-generated Mathematical Tasks

In November 2022, ChatGPT, an Artificial Intelligence (AI) large language model (LLM) capable of generating human-like responses, was launched. ChatGPT has a variety of promising applications in education, such as using it as thought-partner in generating curricular resources. However, scholars also recognize that the use of ChatGPT raises concerns, such as outputs that are inaccurate, nonsensical, or vague. We, two mathematics teacher educators, engaged in a collaborative self-study using qualitative descriptive approaches to investigate the procedures, concepts, and cognitive demand of ChatGPT-generated mathematical tasks focused on fraction multiplication using the area model approach. We found that the ChatGPT-generated tasks were mostly procedural and not cognitively demanding. Moreover, despite ten variations of input prompts, ChatGPT did not produce any tasks that used the area model approach for fraction multiplication. Rather, it generated tasks focused on procedural approaches. Alarmingly, some tasks were conceptually and/or procedurally inaccurate and vague. We suggest that educators cannot fully rely on ChatGPT to generate cognitively demanding fraction multiplication tasks using the area model. We offer recommendations for educators’ strategic use of ChatGPT to generate cognitively demanding mathematical tasks.

Machine Learning-Based Students’ Sentiment towards E-Learning amid COVID-19 Pandemic

The global COVID-19 pandemic has created exceptional difficulties for college and university students. With educational institutions shutting down and an abrupt shift to online learning, students are facing new challenges. Despite the advantages of e-learning, developing nations like Pakistan are experiencing major hurdles due to a lack of internet access and financial constraints. As a result, students' academic performance is being negatively impacted. Researchers are using sentiment analysis of social media platforms such as Facebook, Twitter, and YouTube to gain insight into student experiences during this challenging time. This study seeks to create a machine learning-based sentiment classification system that can determine the sentiment of higher education students in Pakistan towards e-learning classes during the COVID-19 pandemic. The primary objective of this research is to identify and categorize the challenges and problems that university students face in their e-learning classes. The research employed Multi-Nominal NB and Gaussian NB classifiers to examine the sentiment of online reviews and comments of students. We achieve 99% accuracy using Gaussian NB and 98% accuracy using Multinomial NB classifiers. According to the study's results, the COVID-19 epidemic has had a significant effect on the education system, with the vast majority of feedback being negative (70%). Only a small percentage of feedback was classified as neutral (29.9%) or positive (4%). This finding underscores the urgent need for better solutions for online learning during and after the pandemic. The study underscores the importance of addressing these unique challenges faced by students in developing countries during the pandemic. There is a pressing need for innovative solutions that can ensure that higher education remains effective and accessible in these challenging times. By utilizing sentiment analysis and machine learning, researchers can gain a better understanding of the experiences of students during this crisis. This understanding can inform targeted interventions and solutions that can improve academic performance and well-being for students in developing countries like Pakistan. The findings of this research provide important insights and recommendations for policymakers, educators, and stakeholders in the higher education sector.

Blended Learning Environments: A Systematic Review of Effective Strategies in Educational Settings

Blended learning, a pedagogical approach that integrates traditional face-to-face teaching with online learning activities, has garnered significant attention in educational research. This systematic literature review examines the effective strategies of blended learning in educational settings. The study identifies various strategies, analyzes their effectiveness in enhancing student learning outcomes, and provides recommendations for educators on the use of the most effective blended learning strategies. The review reveals that well-designed blended learning strategies, tailored to student characteristics, incorporating active learning methods, diverse pedagogical approaches, and rapid feedback mechanisms, significantly improve student learning outcomes across various levels of education. The findings underscore the importance of carefully implementing and evaluating blended learning strategies to maximize their benefits in educational settings.

Employment Policy, Employment Capital, and Employment Intention of Guangdong Private College Students

The purpose of this study is to explore the employment intention of private college students in Guangdong, and to analyze the relationship between employment policy, employment capital and employment intention, in order to promote the employment and economic development in Guangdong. The study adopted a quantitative approach, using an online questionnaire to survey 612 students, using a variety of data analysis tools to ensure research rigor. It is found that attitude has a significant impact on employment policy and subjective norms on employment capital and employment intention, and employment capital plays an intermediary role in the relationship between these two pairs. The findings deepen our understanding of how individual attitudes, social norms, and employment capital work together to shape employment intentions, highlight the importance of cultivating positive employment attitudes and supportive social norms to enhance employment capital, and provide targeted interventions and policy recommendations for education and employment stakeholders to improve employment outcomes.

Disrupting disparities in school discipline

Schools across the country are grappling with vocal resistance to educational equity efforts, while disparities, including racial disproportionality in school discipline, persist. In this research-practice-partnership project, Adai A. Tefera, Genevieve Siegel-Hawley, Ashlee Sjogren, and David Naff learned of the ways educators and leaders across three distinct schools adopted and engaged in widespread discipline interventions and practices that often failed to consider race, culture, and context — issues central to racial disproportionality in discipline. To counter these race-evasive interventions and practices, they offer recommendations for leaders, educators, and students to engage in race-conscious discipline to advance more just school policies and practices.

Generative AI and the future of higher education: a threat to academic integrity or reformation? Evidence from multicultural perspectives

In recent years, higher education (HE) globally has witnessed extensive adoption of technology, particularly in teaching and research. The emergence of generative Artificial Intelligence (GenAI) further accelerates this trend. However, the increasing sophistication of GenAI tools has raised concerns about their potential to automate teaching and research processes. Despite widespread research on GenAI in various fields, there is a lack of multicultural perspectives on its impact and concerns in HE. This study addresses this gap by examining the usage, benefits, and concerns of GenAI in higher education from a multicultural standpoint. We employed an online survey that collected responses from 1217 participants across 76 countries, encompassing a broad range of gender categories, academic disciplines, geographical locations, and cultural orientations. Our findings revealed a high level of awareness and familiarity with GenAI tools among respondents. A significant portion had prior experience and expressed the intention to continue using these tools, primarily for information retrieval and text paraphrasing. The study emphasizes the importance of GenAI integration in higher education, highlighting both its potential benefits and concerns. Notably, there is a strong correlation between cultural dimensions and respondents’ views on the benefits and concerns related to GenAI, including its potential as academic dishonesty and the need for ethical guidelines. We, therefore, argued that responsible use of GenAI tools can enhance learning processes, but addressing concerns may require robust policies that are responsive to cultural expectations. We discussed the findings and offered recommendations for researchers, educators, and policymakers, aiming to promote the ethical and effective integration of GenAI tools in higher education.

The Role of Digital Education in Atmanirbhar Bharat: A Catalyst for Socio-Economic Empowerment By IJISRT

The concept of Atmanirbhar Bharat, or self- reliant India, encompasses a vision of socio-economic empowerment through indigenous growth and innovation. In this context, digital education emerges as a pivotal tool for realizing this vision. This research paper explores the role of digital education as a catalyst for socio-economic empowerment within the framework of Atmanirbhar Bharat. It examines how digital education can contribute to enhancing access to quality education, fostering skill development, promoting entrepreneurship, and driving inclusive growth. Through a comprehensive review of existing literature and case studies, this paper elucidates the potential benefits and challenges associated with leveraging digital education for socio-economic empowerment in India. Furthermore, it presents recommendations for policymakers, educators, and stakeholders to harness the transformative power of digital education in advancing the objectives of Atmanirbhar Bharat.

Assessment of Scholarly Attainment in Student Academic Performance

This study delves into the intricate relationship between scholarly attainment and student academic performance within modern educational environments. Drawing upon a robust analysis of existing literature and empirical data, the research seeks to establish a nuanced and comprehensive understanding of the multifaceted factors that contribute to students' scholarly achievements. The study adopts a mixed-method approach, strategically blending quantitative analyses with qualitative inquiries to explore various dimensions of scholarly attainment, including but not limited to critical thinking abilities, research skills, and proficiency in academic writing. By employing this comprehensive methodology, the research aims to unravel the intricacies of how different educational practices and interventions impact students' scholarly development. Through meticulous examination and interpretation of data, the study endeavours to uncover patterns, trends, and correlations that shed light on the dynamics between scholarly attainment and academic performance. The overarching goal of this research is to offer valuable insights and actionable recommendations for educators, policymakers, and stakeholders in the field of education. These insights can inform the design and implementation of innovative teaching methodologies, curriculum enhancements, and support systems that foster holistic academic growth among students. Ultimately, the study aims to contribute to the cultivation of a culture of scholarly excellence within educational institutions, promoting continuous improvement and advancement in educational outcomes. Key Words: Scholarly Attainment, Academic Performance, Educational Settings

Reviving ancestral heritage: games traditional sports as key to improve innovative child endurance

Traditional sports games have become an important part of the cultural heritage we inherited from our ancestors. However, with the development of technology and changes in modern lifestyles, traditional sports games have seen a decline in popularity among children. Therefore, this study aims to investigate the role of traditional sports games in increasing children's endurance in an innovative way. This research uses a qualitative descriptive research model that is a literature study that uses various literature reviews in strengthening research analysis. This research began by collecting some literature, then conducted a review and the collected literature was analyzed with a critical Apprasial table of 10 literature. The results showed that traditional sports games were able to provide significant benefits for children's endurance. Through these games, children develop motor skills, body coordination, and balance. They also learn to cope with challenges, develop social skills, such as cooperation and communication, and gain a sense of pride in their cultural heritage. In addition, the introduction of traditional sports games adapted to innovative elements, such as the use of technology or the setting of new rules, can increase children's interest in participating. This allows them to maintain a connection to the traditions of the past while experiencing the joys and challenges presented in a more contemporary context. This research provides recommendations for educators and parents to promote traditional sports games as an integral part of children's educational and activity curricula. Thus, children can develop innovative resilience through activities that honor their ancestral heritage.

Https://awej.org/a-metapragmatic-analysis-of-iraqi-and-american-political-legal-discourse/

This review article explores the potential of social media platforms in teaching English as a second language and expanding language learning horizons. The article discusses various strategies and activities that utilize social media to enhance language learning, such as using multimedia resources, leveraging interactive features and tools, and promoting authentic language input and exposure to native speakers. Language teachers present success stories and case studies highlighting the implementation of social media in teaching. The review also examines research findings and measurable impacts of social media on language learning, including increased language proficiency, enhanced intercultural competence, and improved motivation and engagement. Additionally, the article addresses challenges and considerations associated with social media use, such as privacy concerns, managing information overload, and promoting inclusivity in access to technology. The article concludes by emphasizing the transformative potential of social media in expanding language learning horizons. It highlights the importance of social media in creating dynamic and interactive learning environments beyond traditional classroom boundaries. Furthermore, the article discusses the future implications of social media in English as a second language education, emphasizing the need for educators to stay informed, adapt to emerging trends, and explore innovative approaches. Overall, this review article underscores the significance of social media in language teaching and the opportunities it offers to enhance language learning experiences. It provides insights and recommendations for educators and researchers interested in harnessing the potential of social media platforms for teaching English as a second language.

Innovative Sunday School Strategy Shaping the Character of Generation Alpha

This research explores innovative strategies to shape the character of Generation Alpha within Sunday School settings, addressing the challenges posed by technological advancements and generational shifts. Employing a qualitative approach and thematic analysis, the study reviews literature on Sunday School innovations, technology integration, character formation, and project-based learning. It identifies key themes: the historical origins of Sunday Schools, the integration of technology in Sunday School learning, character education through storytelling, and project-based learning. Findings underscore the significance of Sunday Schools in shaping moral character and adapting to contemporary needs. Examples of effective technology-based learning media are discussed, emphasizing the importance of aligning content with Christian values. Project-based learning is highlighted as a means to internalize Christian values and promote empathy and responsibility. Blended learning approaches are suggested to enhance motivation and engagement. This research contributes insights and recommendations for educators and church leaders to effectively mold the character of Generation Alpha within Sunday School contexts.

Predicting Achievement From WISC-V Composites: Do Cognitive-Achievement Relations Vary Based on General Intelligence?

In order to make appropriate educational recommendations, psychologists must understand how cognitive test scores influence specific academic outcomes for students of different ability levels. We used data from the WISC-V and WIAT-III ( N = 181) to examine which WISC-V Index scores predicted children’s specific and broad academic skills and if cognitive-achievement relations varied by general intelligence. Verbal abilities predicted most academic skills for children of all ability levels, whereas processing speed, working memory, visual processing, and fluid reasoning abilities differentially predicted specific academic skills. Processing speed and working memory demonstrated significant interaction effects with full-scale IQ when predicting youth’s essay writing. Findings suggest generalized intelligence may influence the predictive validity of certain cognitive tests, and replication studies in larger samples are encouraged.

Factors and moderators influencing artificial intelligence adoption by Jordanian MSMEs

PurposeThis study aims to investigate the factors influencing the adoption intention of artificial intelligence (AI) by micro, small and medium enterprises (MSMEs) in Jordan.Design/methodology/approachThe study adopts the technology–organization–environment (TOE) model. It examines the moderating effects of innovation culture, employee digital skill level and market competition on the relationships between the independent and dependent variables. A survey was utilized to collect data from 537 MSME owners or managers in Jordan and employed partial least squares structural equation modeling to test the hypotheses.FindingsThe results of the study support seven out of eight hypotheses. Business innovativeness, management support, perceived benefits and technological infrastructure have positive and significant effects on AI adoption intention, while perceived costs have no significant effect. However, the innovation culture, employee digital skill level and market competition were found to moderate the relationships between some of the independent variables and dependent variables.Practical implicationsThe study provides valuable insights and recommendations for MSME owners, managers, employees, policymakers, educators and researchers interested in promoting and facilitating AI adoption by MSMEs in Jordan.Originality/valueThe current attempt extends the TOE framework by adding significant constructs representing the three contexts. Moreover, it is one of the few studies that analyzed the factors influencing the adoption intention of AI by MSMEs in Jordan, which are significant to the Jordanian economy and represent 99.5% of enterprises.