Learning Profiles Research Articles

Improving Students’ Argumentation Skills Using Dynamic Machine-Learning–Based Modeling

This study explores the potential of dynamic, machine learning (ML)-based modeling to enhance students’ argumentation skills—a crucial component in education and professional success. Traditional educational tools often rely on static modeling, which does not adapt to individual learner needs or provide real-time feedback. In contrast, our research introduces an innovative ML-based system designed to offer dynamic, personalized feedback on argumentation skills. We conducted three empirical studies comparing this system against traditional methods such as scripted and adaptive support modeling. Our results show that dynamic behavioral modeling significantly improves learners’ objective argumentation skills across domains, outperforming all established methods. The results further indicate that, compared with adaptive support, the effect of the dynamic modeling approach holds across complex (large effect) and simple tasks (medium effect) and supports learners with lower and higher expertise alike. This research has important implications for educational policy and practice; incorporating such dynamic systems could transform learning environments by providing scalable, individualized support. This would not only foster essential skills but also cater to diverse learner profiles, potentially reducing educational disparities. Our work suggests a shift toward integrating more adaptive technologies in educational settings to better prepare students for the demands of the modern workforce.

Profiles of EFL Learners’ motivational regulation strategies and their nonlinear relationship to English writing performance in mainland China

Profiles of EFL Learners’ motivational regulation strategies and their nonlinear relationship to English writing performance in mainland China

Rencana Pelaksanaan Pembelajaran Dalam Kurikulum Merdeka

The Merdeka Curriculum is here as a breath of fresh air in the world of Indonesian education, bringing a spirit of independence for teachers and students to learn and teach with creativity. One of the important instruments in realizing the vision of Independent Learning is the Learning Implementation Plan (RPP) which has undergone a significant transformation compared to the 2013 Curriculum RPP (K13). The Independent Curriculum RPP is made more concise and focuses on essential points, so that it is easy for teachers to understand and use. Learning objectives are formulated clearly, measurably and oriented towards Learning Achievements (CP), ensuring learning is centered on the outcomes to be achieved. Teachers are encouraged to understand students’ learning profiles, including their interests, talents, learning styles and learning needs. This allows learning to be designed in a personalized and meaningful way for each individual.

A haptic guidance system for simulated catheter navigation with different kinaesthetic feedback profiles.

This paper proposes a haptic guidance system to improve catheter navigation within a simulated environment. Three force profiles were constructed to evaluate the system: collision prevention; centreline navigation; and a novel force profile of reinforcement learning (RL). All force profiles were evaluated from the left common iliac to the right atrium. Our findings show that providing haptic feedback improved surgical safety compared to visual-only feedback. If staying inside the vasculature is the priority, RL provides the safest option. It is also shown that the performance of each force profile varies in different anatomical regions. The implications of these findings are significant, as they hold the potential to improve how and when haptic feedback is applied for cardiovascular intervention.

Social-emotional learning profile of junior high school students in Java

Social-emotional learning is an essential aspect of an individual’s development. Thisresearch aims to determine the profile of social-emotional learning and differences in social-emotional learning scores based on gender and grade level among junior high school students in Java. This research uses a quantitative approach with a comparative research type. The sample in this study was 2036 junior high school students on the island of Java. The data collection technique in this research used a social-emotional learning scale, which was tested for validity and reliability using the RASCH model. Data analysis techniques were carried out using descriptive statistics and the ANOVA test. The results show that the majority of junior high school students in Java had a high score in social-emotional learning (N=65.4%), and only 0.1% of students categorized indeficient. Students' social-emotional levels were not influenced by gender or grade level. The self-management aspect had the lowest score, and the self-awareness aspect had the highest score in social-emotional learning. It is hoped that the results of this research can provide an overview of the conditions of social-emotional learning in students and become a reference for the development of social-emotional learning program in schools.Guidance and Counseling teachers can improve the lowest aspect of social-emotional learning through various techniques and methods so students can have good social-emotional learning skills in all aspects. Future research needs to explore the factors that influence high levels of SEL in students and expand the research sample to obtain broader generalizations.

Distance Learning in a Cyber Islamic University: Best Experience from Indonesia

Backgroung: The quality of online learning is a demand for the State Islamic Institute of Syekh Nurjati Cirebon as a pilot project for a cyber-based Islamic university which since 2021 has had a distance learning program of Islamic Education Study Program. The Asian Association of Open Universities (AAOU) and Academic Partnership and The Asia-Pacific Economic Cooperation (APEC) organizations provide some criteria for the quality of online learning. Mixed research with sequential methods was carried out on the study program academic community using closed and open questionnaires online and through some focus group discussions. The results show that from 8 quality dimensions (leadership management, student and learner profile, student information and support, assessment and integrity, infrastructure, learning media and resources, learning design and development, curriculum design, and learning outcomes) the average score is in the range of 84-86. This shows that the implementation of the distance learning program is good, with the curriculum design dimension having the highest score while learning outcomes having the lowest score. This is supported by the results of open statements and some focus group discussion agendas that the curriculum is very in line with the development and profile of the study program. However, until now the study program has not had any graduates. Optimizing and updating the Learning Management System, standardizing assessments, and accuracy of feedback are the aspects that need to be improved by the distance learning program. Objective: The aim of this research is to determine the level of service quality and student expectations regarding distance education carried out by the Syekh Nurjati State Islamic Institute, Cirebon, Indonesia. Method: This research adopts mix methods approach with sequential explanatory design. The data obtained through online closed and open questionnaires as well as Focus Group Discussion (FGD) with managers. Results and Discussion: The results show that from 8 quality dimensions (leadership management, student and learner profile, student information and support, assessment and integrity, infrastructure, learning media and resources, learning design and development, curriculum design, and learning outcomes) the average score is in the range of 84-86. The results obtained revealed that implementation of the distance learning program is good, with the curriculum design dimension having the highest score while learning outcomes having the lowest score. This is supported by the results of open statements and some focus group discussion agendas that the curriculum is very in line with the development and profile of the study program. Research Implications: The implication of this research are as follows: Optimizing and updating the Learning Management System, standardizing assessments, and accuracy of feedback are the aspects that need to be improved by the distance learning program.

Analysis of Student Learning Difficulties in Plants Physiology Online Lectures During Pandemic of COVID–19

The COVID-19 pandemic made higher education institutes support online education. Searching for the learning difficulties of students who have gone through lectures online needs to be done as anticipation and looking for solutions in the next lecture. This quantitative descriptive research was conducted in biology education study programs that have studied Plant Physiology in the 2020-2021 academic years. 56 respondents were given a questionnaire related to their difficulties during the online lectures. Learning difficulties in the external aspect were the slow internet network (58.90%) and the internal aspect was very difficult to focus on listening to online lectures if the room where the lecture was messy (58.90%). Physical and physical health profile, easy to get sore and sleepy during the course (57.10%). On the profile of academic learning, students find it more difficult to find textbooks during online lectures than during offline lectures (69.60%). The characteristics of the courses that affected the mastery of the material were the presence of many illustrations of physiological processes (30.40%) and complex concepts (30.40%). Lecturers and students work together to overcome these difficulties so as not to disrupt the overall course of lectures so that online lectures continue well.

Simplified Workbook in Algebra for Grade 7 Learners

The study aimed to create a Simplified Workbook to improve the performance and retention of Grade 7 learners in Algebra at Solotsolot National High School. It addressed research questions about learner profiles, Algebra performance levels, relationships between profiles and performance, and competencies that were mastered or not. Using descriptive-correlational and descriptive-developmental designs, data was collected through the Test Result and Item Analysis Package (TRIAP) for the second quarter, with analysis using frequency count, percentage, mean, and correlational techniques. The findings showed varied learner profiles in terms of sex, parental education, socio-economic status, and study habits. The performance in Algebra was generally satisfactory, with a grand mean of 27.49, and only the occupation of the mother had a significant relationship with performance. Most Algebra competencies were not mastered, indicating the need for a simplified workbook. The study's conclusions highlighted the need for parental involvement, resource centers, and teacher training to enhance learning outcomes. Recommendations included cooperation between parents and schools to improve discipline and interest in school activities, the use of the Simplified Workbook in Algebra 7, and encouraging active participation in Mathematics-related activities. Additionally, it was suggested that Mathematics teachers attend training sessions to enhance their teaching strategies and consider setting up Mathematics Clubs. Future research could examine other factors affecting mastery of Algebra competencies, such as teaching methodologies, social media exposure, and teacher-related factors.

The Google Form and Microsoft Excel applications: Non-Cognitive Initial Diagnostic Test Instrument for Guidance and Counseling Teachers

This research is motivated by the lack of effectiveness and efficiency of the implementation of the distribution of non-cognitive initial diagnostic tests conducted by Guidance and Counseling teachers. The very long time allocation makes many Guidance and Counseling teachers unwilling to carry out the initial non-cognitive diagnostic test because it requires up time for other student assistance services. The Non-Cognitive Initial Diagnostic Test is very important to do as student learning profiling, which can be used as initial data in conducting differentiated learning. This study aims to determine the effectiveness and efficiency of the use of Google Forms and Ms Excel applications as non-cognitive initial diagnostic test instruments for Guidance and Counseling teachers. The type of research is descriptive qualitative. Data collection uses observation, interviews and documentation studies. Data validity techniques using triangulation techniques. The results of research use the Five Stages method, namely the Preliminary Research Stage, Model Development Stage, Model Validation Stage, Effectiveness Test Stage, and Dissemination Stage. Google Forms and Ms. Excel have ease of operation, distribution, data processing and accessibility. Google Forms and Ms. Excel a very appropriate combinations of applications for conducting non-cognitive diagnostic tests, because of their effectiveness efficiency and operation.

Crafting An AI-Powered Adaptive E-Learning Framework: Based on Kolb's Learning Style

In the contemporary educational realm, the convergence of pedagogical advancements with machine learning presents a profound opportunity for transformation. This in-depth exploration delves into the complexities of constructing an adaptive e-learning platform, seamlessly integrating Kolb's learning preferences with state-of-the-art machine learning techniques. At the core of this initiative lies the certification module, meticulously scrutinized to bolster its effectiveness in acknowledging student accomplishments. With a focus on personalized education driven by machine learning for error analysis, learner profiling, and content adaptation, this amalgamation reshapes the educational landscape, offering bespoke and dynamic learning journeys. By proposing an intelligent and dynamic adaptive learning system, this study addresses the constraints of passive and one-size-fits-all platforms, aiming to discern and furnish personalized learning environments tailored to the unique needs of individual learners within the hybrid teaching paradigm.

Conceptions of Differentiated Instruction: A Case Study of Junior High School Mathematics Teachers

Differentiated learning is a learning approach that adapts to the individual needs of students, both student readiness, interests, and their learning profile. Although this concept has been widely discussed, its implementation in mathematics learning still encounters many obstacles. This study aims to describe the conception of mathematics teachers towards differentiated learning and its implementation in supporting the Independent Curriculum. This research is qualitative research using questionnaires as a data collection method. The subjects of this study were 27 junior high school mathematics teachers in the city of Surakarta. Data is analyzed using qualitative analysis techniques including data reduction, data presentation, and verification/conclusions. The results showed that teachers' understanding of differentiated learning was good, both in theoretical concepts and implementation. However, teachers still face obstacles in design, limited learning time, classroom management, and limited knowledge on some aspects of differentiated learning. The study concluded that even though teachers already understand the concept of differentiated learning, they need further support to overcome existing barriers. The implications of this research point to the need for additional training and resources to support more effective implementation.

Enhancing Students Critical Thinking Skills through Pancasila Student Profile Strengthening Project at SMK Negeri 3 Yogyakarta

This research aims to: 1) Analyze the implementation of the Pancasila Student Profile Project in strengthening the critical thinking character of students; and 2) analyze the inhibiting factors in the implementation of the Pancasila Learner Profile Strengthening Project in strengthening the critical thinking character of students at SMK Negeri 3 Yogyakarta. This research deploys a qualitative research approach with a case study method. The purposeful sampling technique is used in recruiting research participants, and the data collection strategy encompasses observations, interviews, and documentation. The data gathered is validated through triangulation techniques and multiple-source triangulation. The data gathered is analyzed using Miles and Huberman’s models of data reduction, data presentation, and conclusion drawing. The results of this study show: 1) the implementation of the Pancasila Student Profile Strengthening Project (P5) in strengthening the character of critical thinking is integrated with the use of project-based and problem-based learning methods in P5 comprehensive themes. The combination of learning from all themes can develop students’ skills in critical citizenship characteristics; and 2) P5 implementation, internal and external obstacles are miscommunications affecting coordination and implementation. These miscommunications are caused by various factors. Thus, increasing awareness and strong collaboration among each school element are crucial.

EXPLORING THE ROLE OF SOCIOLINGUISTICS IN TEACHING ENGLISH AS A SECOND LANGUAGE

This article explores the significance of incorporating innovative educational methodologies to enhance teaching and learning processes in order to achieve positive educational outcomes. Specifically focusing on the role of language instructors in promoting linguistic diversity in the classroom, the research delves into the connection between language learning and sociolinguistics. The study conducted at Tashkent Medical University among freshmen from various racial and ethnic backgrounds highlights the importance of sociolinguistics in creating an inclusive learning environment that supports students' unique experiences and requirements. Through a learner profile analysis, the research aims to shed light on the challenges students face in transitioning between educational levels and how language instructors can offer effective support to ensure their success.

Advancements and challenges in AI-driven language technologies: From natural language processing to language acquisition

This paper explores the evolution and impact of artificial intelligence (AI) in the realm of language technologies. We trace the historical development of language models in AI, starting from the rule-based systems of the 1960s to the sophisticated neural networks of today. The current state-of-the-art technologies, particularly transformer-based models like OpenAI's GPT series, are examined for their capabilities and limitations. We delve into the role of AI in language acquisition and learning, highlighting AI-driven language teaching tools such as Duolingo and Babbel, and discuss their effectiveness and challenges. Furthermore, the paper explores the significant contributions of AI in second language acquisition research, including the development of predictive models and sophisticated learner profiles. Ethical considerations and challenges, such as data privacy and potential biases, are also addressed. We discuss advancements in natural language processing (NLP) applications like text and sentiment analysis, speech recognition and generation, and machine translation, along with their cross-linguistic challenges. The conclusion envisions future directions for AI in language technologies, emphasizing the need for multimodal inputs, efficiency, and enhanced interpretability.

Peran Guru Dalam Menerapkan Pembelajaran Project Based Learning Pada Kurikulum Merdeka

The purpose of this study is to evaluate the implementation of the Project Based Learning (PjBL) model in subjects in the Merdeka Curriculum and its impact on student learning outcomes. This research used a descriptive qualitative approach to describe social phenomena. Primary data was obtained from structured interviews with a teacher at Madrasah Ibtidaiyah Lamongan, and secondary data from scientific journals and online sources. Data collection techniques included interviews, observation and documentation. Data analysis included asking questions, applying procedures, collecting, coding and interpreting data. This research aims to understand the meanings that individuals and groups ascribe to social or humanitarian issues. The research findings show that PjBL is effective in improving student learning motivation, team PjBL work skills, creativity, and understanding of basic concepts. Effective in increasing student learning motivation, teamwork skills, creativity, and understanding of basic concepts. To that end, PjBL also fosters enthusiasm and positive attitudes among students. However, PjBL research faces challenges such as high equipment requirements, high costs, and short lead times. Nevertheless, PjBL made a significant contribution to learning outcomes and the development of student characteristics according to the Pancasila Learner Profile

Evaluating the Learning Effectiveness of A Blended Teaching Model of College English Using A Decision Tree Algorithm

The learning effectiveness of a blended teaching model of college English, utilizing a decision tree algorithm, demonstrates promising outcomes. This model combines traditional classroom instruction with online learning components, allowing for personalized and interactive learning experiences. By employing decision tree algorithms to analyze student data and performance metrics, instructors can tailor instructional strategies to individual learning styles and needs. This data-driven approach facilitates targeted interventions, adaptive feedback, and optimized course materials, ultimately enhancing students' English language proficiency and academic success. The blended teaching model harnesses the power of technology and data analytics to create dynamic and effective learning environments in college English education. \College English education. The HGBT-DT model combines genetic algorithms, blended teaching methods, and decision tree algorithms to tailor instructional strategies to individual student needs. Through a comprehensive study involving 100 students, we demonstrate the efficacy of the HGBT-DT model in enhancing language proficiency and critical thinking skills. Results indicate a significant improvement in student performance, with an average post-test score increase of 15 points compared to pre-test scores. Additionally, the HGBT-DT model achieves an optimization score of 0.90, indicating a high level of effectiveness in optimizing teaching strategies. Furthermore, decision tree analysis reveals personalized teaching recommendations, leading to improved student outcomes across diverse learner profiles. This study highlights the potential of the HGBT-DT model to revolutionize teaching practices and promote personalized learning experiences in College English education.

Analysis and Modelling Of English Learning Behaviour Based on Data Mining Technology

This paper presents an in-depth exploration into the analysis and modelling of English learning behaviour leveraging data mining technology. In today's digital age, understanding the intricacies of how individuals acquire a second language is paramount for optimizing educational strategies and enhancing learning outcomes. By employing advanced data mining techniques, we aim to uncover patterns, trends, and underlying dynamics within English learning datasets, shedding light on the diverse behaviours exhibited by learners. Furthermore, this research transcends analysis, as we endeavour to construct robust models capable of simulating and predicting English learning trajectories. By leveraging insights derived from extensive data exploration, we aim to develop predictive models that offer personalized recommendations and adaptive learning pathways tailored to individual learner profiles. Ultimately, this paper contributes to the ongoing discourse surrounding language acquisition by providing valuable insights into English learning behaviours. By harnessing the power of data mining technology, we aspire to empower educators, policymakers, and digital learning platforms with the tools necessary to cultivate more efficient and inclusive approaches to English language education.

An Empirical Study of Adaptive Learning Algorithm Based on Intrinsic Motivation in English Online Teaching and Learning

An empirical study of adaptive learning algorithms based on intrinsic motivation in English online teaching and learning delves into the intersection of technology and motivation in language education. By investigating how adaptive learning algorithms can leverage intrinsic motivation factors, such as personal interests and curiosity, researchers aim to optimize online English instruction for individual learners. This paper introduces Weighted Feature Clustering Adaptive Learning (WFCAL) as a novel approach to optimizing English teaching and learning processes. Traditional methods of instruction often fail to address the diverse needs and learning profiles of students, leading to suboptimal outcomes. WFCAL offers a solution by dynamically adapting instructional content based on the individual characteristics of learners, thereby creating personalized learning experiences. Through the application of WFCAL, significant improvements in language proficiency have been observed across various skill domains, including vocabulary, grammar, and reading comprehension. The algorithm clusters learners into groups based on their proficiency levels and adapts instructional delivery to cater to the specific needs of each cluster. This approach promotes engagement, motivation, and efficacy in language learning, leading to enhanced outcomes. learners in Cluster 1 showed an average increase in vocabulary knowledge from 65 to 80, while learners in Cluster 2 demonstrated an improvement from 70 to 85 in grammar understanding. Additionally, reading comprehension skills improved by an average of 10 points across all clusters. The algorithm clusters learners into groups based on their proficiency levels and adapts instructional delivery to cater to the specific needs of each cluster.

Teachers’ Perception of Differentiated Instruction for Slow Learner in Inclusive School Yogyakarta

This present study aims to find out the teachers’ perception and practice about the implementation of Differentiated Instruction (DI) in English-as-a-foreign-language (EFL) teaching to students with Slow Learner (SL) in inclusive school. This study employed a descriptive qualitative method conducted at Junior high school in Yogyakarta, Indonesia, by selecting two English teachers as participants. The data were collected through observation, interview and document. The findings revealed that the teachers do not fully comprehend the concept of DI, especially in the analysis of student learning profiles, even though socialization regarding differentiated learning has already been given by the government. The challenges that teachers encountered were the insufficient training on how to identify and accommodate the needs of slow learner students, who constitute a large proportion of their classes. In concussion, the English teachers have already had the basic concept of differentiated learning, but have not been able to implement it effectively in practice.

Harnessing AI for Education 4.0: Drivers of Personalized Learning

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.