Educational Innovation in Secondary Classrooms in Castellón Province, Spain: Qualitative insights into ICT Use and Motivational Strategies | Chapter 8 | Language, Literature and Education: Research Updates Vol. 10

 

The Master’s Degree in Secondary Education, Vocational Training, and Language Teaching at Universitat Jaume I (Castellón, Spain) includes a required Practicum in secondary education schools. In secondary education, the integration of Information and Communication Technologies (ICT) has emerged as a central dimension of innovation, yet its effectiveness depends largely on how technology is pedagogically embedded. This study examines how mentor teachers incorporate innovative methodologies and Information and Communication Technologies (ICT) during this placement. A total of 115 Master’s students analysed the pedagogical practices of their mentor teachers across 36 secondary schools in Castellón Province. Special attention was given to teachers’ use of innovative resources and their strategies for encouraging student motivation. Findings reveal notable differences among teachers. While 15% demonstrated consistent and meaningful integration of innovative practices and ICT tools, 40% mixed traditional methods with limited technological support, and 45% primarily relied on traditional, lecture-based instruction. The results suggest that although ICT resources are widely available, their pedagogical integration largely depends on teacher intent and methodological focus. The study emphasises that innovation is a structured and reflective process rather than just technological adoption.

 

 

Author(s) Details

María Luisa Renau Renau
Universitat Jaume I, Castellón, Spain.

 

Please see the book here :- https://doi.org/10.9734/bpi/lleru/v10/7187

Sport Leadership Factors Affecting Youth Athletes: A Systematic Literature Review | Chapter 7 | Language, Literature and Education: Research Updates Vol. 10

 

Leadership is a fundamental aspect of sports performance, particularly within team sport environments. Another important component of leadership is communication and the art of making people see their value and potential. Effective leaders should possess several competencies, such as excellent communication skills, decision-making skills, creative thinking, demonstrating empathy, being flexible, intuitively optimistic and persistent. Good leadership is mandatory for athletes to develop and perform in their sport. Crucial components of leadership are communication, motivating athletes and unleashing their potential for personal growth and well-being. Sport leaders define and shape the environment that influences the need fulfilment of youth athletes to feel safe, to learn, and to perform. However, inappropriate or devaluing communication may thwart youth athlete’s needs. Good sports leadership of youth athletes is, however, not yet framed in a specific leadership style. Therefore, a systematic review was conducted to examine facilitating and hindering factors in youth sport leadership, i.e., for teenage athletes aged 10-18 years. The final selection included 14 studies that focused on various factors and dimensions in youth sport leadership from the perspective of self-determination theory and leadership styles. Most studies show the need for autonomy-supportive behaviour and aversion to controlling behaviour of the sport leader. Sport leaders who fail to provide sufficient supportive coaching reduce athletes’ engagement, well-being and competence development. The review also unfolded a noticeable Western bias in the studies selected as well, as a method bias indicating a lack of mixed-methods designs and only one qualitative study being selected. In conclusion, the necessity of motivational and development-oriented responsive youth leadership is emphasised as it requires more explicit quality monitoring in practice, policy and future research.

 

 

Author(s) Details

Alexander Minnaert
Department of Inclusion and Special Needs Education, University of Groningen, The Netherlands.

 

Sarah Lemstra-Brink
Department of Inclusion and Special Needs Education, University of Groningen, The Netherlands.

 

Please see the book here :- https://doi.org/10.9734/bpi/lleru/v10/7064

Bridging Traditions and Classrooms: A Qualitative Inquiry of Indigenous Peoples' Education in Bontoc, Mountain Province | Chapter 6 | Language, Literature and Education: Research Updates Vol. 10

 

In the Philippines, a culturally diverse nation comprising more than 7,100 islands, indigenous peoples constitute a substantial segment of the population, estimated at roughly 14 to 17 million individuals from various ethnolinguistic groups. DepEd Order No. 32, s. 2015, advocates for an Indigenous Peoples Education Curriculum Framework, emphasising the entitlement to a culturally grounded and responsive basic education. This qualitative research approach study inspects the features and current application of the Indigenous Peoples Education (IPED) program in Bontoc, Mountain Province, through the lens of indigenous pedagogical theories and culturally responsive education frameworks such as culturally sustaining pedagogy and indigenous knowledge systems. It focuses on a purposive sample of selected indigenous communities, teachers, and students within three public schools in Bontoc, exploring their perceptions and experiences of indigenous and mainstream education. Focus group discussion is one method of data collection, as well as classroom observations and open-ended interviews, to provide in-depth insights into the cultural and contextual factors that shape educational practices. The results highlight important restrictions in the current execution of IPED as mainly apparent and inadequately thoughtful of the rounded, consistent nature of indigenous education. The study stresses that cultural views and ethnicities deeply affect the indigenous approach in learning, underlining the need for culturally reactive curricula and teacher training. In conclusion, the study reveals that there is a reevaluation of IPED application, focused on culturally associated ideals and indigenous knowledge and practices was integrated into teacher education programs. Supporting IPED, where the preservation and promotion of Bontoc’s rich cultural heritage within the educational landscape should be recommended to the Mountain Province State University and the Department of Education.

 

 

Author(s) Details

Elizabeth P. Lacaben
Mountain Province State University, Philippines.

 

Please see the book here :- https://doi.org/10.9734/bpi/lleru/v10/6806

Evaluating the Impact of a Guided Personalised Learning Framework for Undergraduate Engineering Education: A Data-Driven Empirical Study | Chapter 5 | Language, Literature and Education: Research Updates Vol. 10

 

The concept of personalised learning (PL) has evolved significantly in higher education, driven by the need to accommodate increasingly diverse student profiles and to promote more inclusive and effective learning environments. This study investigates the implementation and impact of the Guided Personalised Learning (GPL) model, a structured pedagogical framework designed to operationalise personalised and student-centred learning in STEM higher education. The GPL model integrates three interconnected components: a three-dimensional knowledge and skill grid, Interactive Learning Progress Assessments (ILPA), and an adaptive learning resource pool. These components were embedded into two undergraduate engineering modules, Network Engineering and Software Engineering, at a UK university. A mixed-method evaluation involving 741 students across two academic years, incorporating quantitative attainment analyses, qualitative student feedback, and both within-cohort and inter-cohort comparisons, was conducted. Statistical tests included F-tests, and Welch’s t-tests were conducted. Results show that students who engaged with GPL, particularly those who completed ILPA activities, achieved significant improvements, including higher mean grades, increased proportions of high achievers, and reduced failure rates. These findings demonstrate the GPL model’s effectiveness in supporting learner autonomy, formative assessment, and targeted feedback, while offering a scalable and evidence-based approach to integrating personalised learning into mainstream STEM curricula. This study is important for educators, curriculum designers, and institutions as it provides a practical framework for embedding personalisation into core teaching and learning processes. It recommends that staff development prioritise training in diagnostic assessment design, resource curation, and data-informed pedagogy, while strategic institutional investment should focus on interdisciplinary collaboration, technical integration, and continuous feedback mechanisms. Future studies should investigate the application of GPL in other disciplinary domains and at different academic levels, with longitudinal studies exploring the sustained impact of GPL on progression, retention, and academic identity formation.

 

 

Author(s) Details

Yue Chen
School of Electronic Engineering and Computer Science, Queen Mary University of London, London E1 4NS, UK.

 

Ling Ma
School of Electronic Engineering and Computer Science, Queen Mary University of London, London E1 4NS, UK.

 

Pireh Pirzad
School of Electronic Engineering and Computer Science, Queen Mary University of London, London E1 4NS, UK.

 

Kok Keong Chai
School of Electronic Engineering and Computer Science, Queen Mary University of London, London E1 4NS, UK.

 

Please see the book here :- https://doi.org/10.9734/bpi/lleru/v10/6794

 

Statistical Techniques in Ecology: Descriptive Statistics and Normal Distribution | Chapter 4| Mathematics and Computer Science: Research Updates Vol. 9

 

Ecological science relies on robust estimates of the abundance, diversity, and spatial distribution of individuals and species, but these quantities are notoriously difficult to observe directly. Statistics may be considered as the science and technique of collecting, analysing, and making inferences from data, and these references are stated as probabilities. The study aims to explore and apply quantitative and statistical methods in ecology to understand the relationships between populations and their environment, assess the effects of environmental hazards on animal and plant populations, and evaluate overall ecological balance. Fundamental statistical concepts, including descriptive statistics, probability distribution, regression and correlations, and the chi-square distribution, are demonstrated to show their function in analysing ecological data. On the other hand, specialised methods, such as species-abundance relations and species-diversity measures, provide insights into community structure and ecosystem stability. The study recommends the use of logarithmic distributions to accurately fit species-abundance data and enhance the reliability of ecological analyses.

 

 

Author(s) Details

B. K. Singh
Department of Mathematics, School of Sciences, IFTM University, Moradabad-244102, Uttar Pradesh, India.

 

Rajan Singh
Department of Mathematics, School of Sciences, IFTM University, Moradabad-244102, Uttar Pradesh, India.

 

Anshul Dubey
Department of Mathematics, School of Sciences, IFTM University, Moradabad-244102, Uttar Pradesh, India.

 

Nidhi Tiwari
Department of Mathematics, School of Sciences, IFTM University, Moradabad-244102, Uttar Pradesh, India.

 

Nidhi Prabhaka
Department of Mathematics, School of Sciences, IFTM University, Moradabad-244102, Uttar Pradesh, India.

 

Please see the book here :- https://doi.org/10.9734/bpi/mcsru/v9/7057

 

Asymptotic and Bootstrap Implementation of the D'Agostino-Berlanger-D'Agostino K2 Normality Test in R | Chapter 3 | Mathematics and Computer Science: Research Updates Vol. 9

 

The K² test could be one of the best tests for assessing normality, yet its use is limited, likely because it is not commonly included in standard statistical software, despite being implementable in R through the moments package. Moreover, its asymptotic approximation has been questioned for small samples, and no bootstrap version currently exists, even though it is feasible in R. This simulation study aimed to: (1) verify the linear independence and nonlinear relationship between √b₁ and b₂; (2) develop an R script for the K² test in both asymptotic and bootstrap versions; (3) assess the fit of the bootstrap distribution of the K² statistic to a chi-square distribution with two degrees of freedom; (4) compare the power of both implementations against non-normal distributions; and (5) contrast the bootstrap version of K² with the Shapiro–Wilk test in small samples. A Monte Carlo simulation with 10,000 replications was conducted, using 16 non-normal distributions as alternative hypotheses and sample sizes (n) ranging from 20 to 2,000 in increments of 20. Linear independence and a parabolic relationship between √b₁ and b₂ were confirmed, and the R script was verified to be functional. The script is available for download as a Word document from a GitHub repository. The bootstrap distribution of K² converged to a chi-square distribution for n ≥ 120. The asymptotic version of K² and the Shapiro–Wilk test showed greater power than the bootstrap version, except for mesokurtic asymmetric distributions. Bootstrap implementation is recommended in these cases for n < 120, while the asymptotic version is generally more powerful and appropriate for n ≥ 20. The developed R script is highly useful for assessing the normality assumption required by many parametric tests, such as t-tests and F-tests for comparing means and variances, as well as for characterising the distribution of a sample of quantitative data; therefore, its use is recommended for these purposes.

 

Author(s) Details

José Moral de la Rubia
School of Psychology, UANL, Mexico.

 

Please see the book here :- https://doi.org/10.9734/bpi/mcsru/v9/6969

 

Certainty-Independent Aspects in Fluid Mechanics: Fundamental Laws and Universal Behaviours | Chapter 2 | Mathematics and Computer Science: Research Updates Vol. 9

 

This chapter explores certainty-independent parts of fluid mechanics, focusing on fundamental concepts that are true regardless of specific initial conditions or parameter uncertainty. It examines how robust frameworks for comprehending fluid behaviour are supplied by conservation laws, dimensional analysis, similarity solutions, and stability theory without requiring exact knowledge of every system variable. The research demonstrates that many fluid processes have universal characteristics that transcend specific experimental configurations, offering reliable forecasting capabilities in a range of applications. Through theoretical analysis and case examples, the importance of these certainty-independent components in both fundamental research and practical engineering applications is highlighted.

 

Author(s) Details

K. Chinnadurai
Department of Mathematics, AMET University, Kanathur, Chennai, India.

 

Salahuddin
Department of Mathematics, AMET University, Kanathur, Chennai, India.

 

Please see the book here :- https://doi.org/10.9734/bpi/mcsru/v9/6897