Student Learning Progress Research Articles

Home-School Connection: Investigating Parental Involvement in the Academic Learning of PrimarySchool Students

The objectives of the study were to analyze the perspective of parents about their involvement in the academic learning of their children studying at the primary school level. A quantitative research design was used to conduct this study. A descriptive survey method was used to collect the data. The population of the study was parents of the students of government primary schools of tehsil Rajanpur. It included male and female primary schools in rural and urban areas in this tehsil. Disproportionate stratified random sampling technique was used to select 648 parents of primary school children. Self-developed research instrument, i.e., a five-point scale, was used for data collection. The data were analyzed through descriptive and inferential statistical techniques. The study found that parents were highly involved in parenting and home-based learning activities. However, their involvement in the community-related activities and decision-making was relatively low. It is suggested that parents participate in classroom, school, and co-curricular activities. Training sessions may be conducted for teachers and parents on various ways of collaboration in the educational settings in order to better understand and improve the student's learning progress.

Quantitative analysis of student learning progress in online curses during the COVID-19 Pandemic

Abstract The pandemic of COVID-19 forced the transition of education to online platforms. This shift allowed for a more in-depth study of the learning process of students, as it provided access to information about their activities and interactions with the course’s contents [1-3]. In this work, we apply quantitative methods to analyze the student learning progress of students for two first year courses of the B.Sc. degree in Physics (Universidad Católica del Norte). The data are collected from activity logs of digital platforms during Academic year 2021, which were employed to characterize the student learning habits along these processes (experience, selectivity and workflow). Statistical analysis is based on the distribution of the time spent on learning activities, such as the daily time distribution and the cumulative attention per online materials. The results show that the learning process of students in online courses is complex and adaptive. We report statistical patterns similar to those found in financial markets. These empirical results provide evidence about the importance of economic principles and methods in the understanding of the teaching-learning process.

The Effect of a Diagnostic System for Scientific Competency Combined with a Personalized Intelligent Tutoring Module through Machine Learning for Enhancing the Learning Progression of Seventh Grade Students

This study investigated the effects of a diagnostic system for scientific competency, combined with a personalized intelligent tutoring module that utilized machine learning, on the learning progression of seventh-grade students. The study employed a decision tree algorithm in Python to analyze secondary data from 847 students. The decision tree algorithm was used to create a predictive model that could diagnose individual scientific competency levels, which informed the development of individualized learning pathways. The experimental study involved 176 students, who were divided into two groups: an experimental group that received interactive feedback and a control group that did not receive any feedback. The study utilized a one-way MANOVA to evaluate three dimensions of scientific competency: Explanation of Scientific Phenomena, Evaluation and Design of Scientific Inquiry, and Interpretation of Data and Use of Evidence. The findings demonstrated significant improvements in the experimental group across all dimensions, highlighting the importance of immediate feedback in enhancing comprehension and motivation. The system was also highly rated for its quality and user satisfaction. This study emphasizes the potential of intelligent tutoring systems to improve scientific competency and suggests further educational applications.

Low-Stakes, Growth-Oriented Testing in Large-Enrollment General Chemistry 1: Formulation, Implementation, and Statistical Analysis.

We formulate an alternative to high-stakes examinations that is designed to help students grow, and we describe its implementation in a large-enrollment General Chemistry 1 class. In our alternative grading approach, students complete weekly assessments. Each assessment has four items that are aligned to explicit learning objectives and a level in Marzano's taxonomy, retrieval, comprehension, analysis, and knowledge utilization, which can be used by students and instructors to gauge the progression of student learning. Proficiency-based grading and multiple attempts reduce the stakes of the assessments. Unique assessments are generated through a computational infrastructure that draws question stems from an item bank and further randomizes quantities, elements, compounds, reactions, spectra, Lewis structures, orbitals, etc. in the questions. Nearly all assessment items require student-generated responses and cover a complete General Chemistry 1 curriculum. We interpret Marzano's taxonomy in the General Chemistry context and outline the structure of the learning objectives, cognitive levels, assessment schedule, and grading scheme. Item response theory (Rasch analysis) validates the theoretical framework and indicates that assessment items are high quality. Students demonstrate improvement through assessment retakes, and they report that the system motivates them to study and learn.

Navigating egalitarian culture and accountability pressures: shared instructional leadership practices of Danish school leaders

PurposeOur study presents insights from an exploratory qualitative case study conducted in three primary and lower secondary schools in Denmark, a country renowned for its collaborative and egalitarian culture, to unravel the complexities of shared instructional leadership.Design/methodology/approachInterviews with principals, middle leaders, and teachers and document analysis were used to identify themes according to shared and instructional leadership perspectives.FindingsThe study yielded three major findings. First, Danish principals structure schools to prioritize student learning outcomes and distribute responsibility to middle leaders and teachers. Second, reflection among teachers and leaders better prepares them for future demands and obligations. Third, collaboration underpins principals’ vision of reflection and professional development.Practical implicationsThe research team’s reflection on the data collected can be used to build future strategies to address unpredictable student learning progression and poor-performing teachers.Originality/valueTogether, these findings contribute to the broader understanding of shared instructional leadership and demonstrate how principals face external pressure for accountability and how egalitarian culture influences principals’ practices.

Analisis Kesulitan Belajar Matematika pada Materi Diagram Batang Siswa Kelas IV SDN Kalicari 01 Semarang

Mathematics learning is considered challenging for many students, with some sh. owing little interest or motivation to engage with the subject. This is often due to difficulties encountered during the learning process. This study aims to analyze students' difficulties in learning Mathematics, specifically focusing on bar diagram topics. The research employs a qualitative method with a descriptive approach. Data collection techniques include interviews, observations, and documentation. Data analysis involves data collection, data reduction, data presentation, and drawing conclusions. Findings from the study reveal that the majority of Grade IVA students at SDN Kalicari 01 Semarang experience difficulties in remembering technical terms such as X-axis, Y-axis, and frequency. They also struggle with explaining bar diagram concepts in their own words and recalling the steps involved in creating bar diagrams. Efforts to address these challenges include implementing a more structured learning approach, actively interacting with class and support teachers for guidance, and utilizing aids or interactive media to enhance student engagement and comfort in learning. Additionally, remedial activities are conducted to help students improve their grades and assist teachers in assessing student learning progress

Instrument for Assessing Physical Literacy Skills Competence in Primary School Tasikmalaya, Indonesia

This study aimed to design, develop, and assess the validity of a Physical Literacy (PL) instrument designed for primary school students in Tasikmalaya, Indonesia. Children aged 8 and 12 were the sample for this development research design. The instrument's validity was evaluated using alpha coefficient analysis, and the results were quite good. All items had alpha coefficients close to or equal to 1.00, indicating the proposed evaluation instrument has good validity. As it allows them to classify students according to their ability levels and conduct more effective physical education evaluations, physical education teachers and classroom teachers require PL assessment. Physical education curriculum planning concentrates more on Physical Literacy; each student needs to be improved to be more straightforward with this tool. Therefore, this evaluation tool is beneficial for teachers in obtaining a track record of individual and collective student progress in Physical Education learning. The results from this study show that the instrument created is reliable and successfully collected PL data in Tasikmalaya City, located in Indonesia. Since we can ensure that coaching efforts can concentrate on the specific needs of each student by using the PL assessment instrument, we will achieve more significant results in primary school students' PL. Keywords: Physical Literacy, Assessment, Primary school, Skill competence

Pengembangan Model Pembelajaran Kolaboratif Antara Guru dan Orangtua dalam Mendukung Kemajuan Belajar Siswa di Sekolah Dasar Inpres Harekakae

In the world of education, we really need every support from every circle because a student's success in learning is due to this support. Determine the right model needed to help this progress by determining the right model according to the problems faced by students. In this research, the researcher aims to collaborate between teachers and parents to help the learning progress of elementary school students at SDI Harekakae. The sample I took was 30 students with different abilities so that researchers could measure the extent of collaboration between parents and teachers to help students develop progress. Initial observations in this study provided data from 8 statements, each of which had a weight that did not meet the target of <80% with an average score of 40%. So in this implementation the researcher held a meeting with parents and teachers to enter into a collaboration agreement. In this meeting the teachers agreed to carry out 8 statements by signing the activity contract. During the implementation, researchers carried out monitoring by providing activity observations. However, the results obtained were that 2 statements did not meet the target, while 6 statements met, meaning that out of 8 statements, 80% were successful. So it can be concluded that in collaboration there are several obstacles, in this case family finances also influence.

Learning Evaluation Analysis at SDN 101768 Jalan Besar Tembung, Hutan, Percut Sei Tuan Subdistrict

Evaluation is one of the most crucial things to do in learning. Learning evaluation is a continuous and systematic process for assessing student learning progress. Evaluation helps teachers to find out the extent to which learning success improves the quality of learning as expected and provides feedback between teachers and students when the learning proses is underway. There are several kinds of evaluation methods that can be given and carried out by teachers, namely tests, observations, projects and portfolios. The evaluation process also to take into account the uniqueness and needs of each individual. Apart from that, evaluation also aims to collect student information regarding student progress, development and achievements in the learning process. This research was carried out at SDN 101768 Jalan Besar Tembung, Hutan, Percut Sei Tuan District. The purpose of thi research is to find out the evaluatiom carried out by teachers on students during the learning process. In line with the objectives, this research used a qualitative approach with interview and observation methods. Researchers interviewed several teachers to obtain information in the field.

Peran Guru Sebagai Administrator di Sekolah

Teachers have an important role in education, not only as teachers, but also as administrators in schools. This dual role requires teachers to have various competencies, both in pedagogy and management. As administrators, teachers have the responsibility to manage various important aspects of the school, such as: Developing lesson plans, assessing student learning progress, and making learning outcome reports. Managing classroom budgets, creating financial reports and applying for funds. Managing teacher and staff data, assisting with the recruitment process and resolving staffing issues. Maintain and care for school facilities and infrastructure, make damage reports, and apply for procurement of goods. Establish communication with parents, school committees and the surrounding community. In the context of education, the role of teachers as administrators in schools plays a very important role in managing various aspects of school activities. Teachers are not only tasked with teaching, but also as leaders in organizing school administration, including curriculum planning, supervising student activities and managing resources. With good administrative skills, teachers can create an effective and efficient learning environment, ensure all processes run smoothly, and make a positive contribution to the school's progress and overall student achievement.

Social entertainment robot based on neural network algorithm in personalized music course simulation

This study focuses on the simulation of personalized music courses using social entertainment robots based on neural network algorithms, and introduces the current research status of music processing algorithms based on neural networks. A detailed explanation was provided on the training methods for neural network algorithms, including BP neural network training and music generation algorithms. Research was conducted on activation functions, music output detection, and loss function detection. A virtual music course system framework has been designed to provide students with personalized learning experiences. In a social entertainment robot based on neural network algorithms, a complete control node system was reconstructed, aiming to achieve interactive and entertainment effects of music courses through sensing technology. The control node system includes multiple key components, and the robot is able to perceive and recognize the actions, facial expressions, and sounds of students. Social entertainment robots have intelligent classification and recommendation functions, and this algorithm can intelligently classify and recommend music resources based on students’ music preferences, levels, and needs. By analyzing the personal preferences and learning progress of students, robots can provide customized music course content and learning materials for each student, improving learning effectiveness and personal interests.

Transformasi Digital dalam Pendidikan: Meningkatkan Kualitas Pembelajaran Melalui Teknologi

Digital transformation is changing the paradigm of the world of education and has a major impact on learning and teaching methods. This article discusses key aspects of transformation such as increasing accessibility to information, developing 21st century skills, digital literacy, and various forms of lifelong learning online, distance, and personal. Digital assessments are also an important element in measuring student learning progress. These changes not only bring opportunities but also challenges that require collaboration, innovation and interesting learning experiences. This is very important in understanding the impact of digital transformation on the world of education in order to face rapid technological changes. The research method used in this research is library research obtained from books and journals to ensure the truth. Many changes have occurred along with advances in technology, information comes faster, is easier to learn, and easier to interact with.

Optimising Arabic Language Learning Management: Digitalisation Efforts

The background of this research includes the complexity of challenges in managing Arabic language learning, especially with limited resources and the massive development of digital technology. This study aims to identify the strategies and steps the Head of the study program took in utilizing technology to digitalize Arabic language learning. This research methodology uses a qualitative approach with data collection techniques through in-depth interviews with the Head of the study program and participatory observation of the digitalization efforts made. The results obtained from the research show that there are three stages of digitalization efforts. First, the collaboration between Arabic Language Education lecturers is planned to revise the curriculum and upgrade semester implementation plans. Second, implementation should be done using interactive Arabic learning models and technology-based learning media. Third, monitoring the learning process between lecturers and students, student learning progress, reviewing the results of midterm and final semester exams and facilitating communication between lecturers and students regarding learning problems. Hopefully, this research can provide recommendations for other educational institutions in optimizing Arabic language learning management.

Assessment of students by using tools to assess the holistic performance of students at primary level of students

This research paper provides a comprehensive review of Assessment of students during learning process in a classroom. Assessment play a crucial role in facilitating the teaching and learning process by providing resources that engage students, enhance understanding, conceptual clearity, critical thinking, abstract thinking, feedback, improvement of students learning process in a classroom and promote active learning. This research paper explores various types of tools and their characteristics, design principles, and their effectiveness in diverse educational settings. Additionally, it examines the role of using tools in creating and utilizing assessment tools as well as the importance of aligning with achieve curriculum goals and student needs. The paper concludes with recommendations for educators and policymakers to maximize the potential of assessment to improving student learning progress.

A Study of Learning Progression in Science of Class IX Students of Balangir District, Odisha

A Study of Learning Progression in Science of Class IX Students of Balangir District, Odisha

Levels of teacher performance in formative assessment in multigrade and single-grade classrooms

Formative assessment is an evaluative practice developed in the classroom for the improvement of learning using evidence on student progression. The objective of this research is to compare sample groups from multigrade and single-grade classrooms on the theme of formative assessment based on the students' opinion of the teacher's performance. The method used was a comparative quantitative method. The sample type is a probability sample of 683 students from 5th to 8th grade from urban and rural schools in the commune of Longaví, located in the Maule Region of Chile. A validated Likert scale questionnaire with a high level of reliability (α = 0.93) was used. The results of the research showed that, in the six dimensions, the best teacher performance concerning formative assessment is found in multi-grade schools and not in single-grade schools. This can be explained on the basis of several reasons, among them the level of adaptability that teachers have in this type of classroom, the heterogeneous characteristics of the classroom (different ages and learning goals) and the need for teachers to monitor the learning progression of students with different classroom characteristics.

REVOLUTIONIZING EDUCATION THROUGH AI: A COMPREHENSIVE REVIEW OF ENHANCING LEARNING EXPERIENCES

Artificial Intelligence (AI) is transforming the landscape of education, offering innovative solutions to enhance learning experiences. This review provides a comprehensive overview of how AI is revolutionizing education, focusing on its impact on learning outcomes, teaching methodologies, and the overall educational ecosystem. The adoption of AI in education has led to personalized learning experiences tailored to individual student needs. AI-powered adaptive learning systems analyze student performance data to create customized learning paths, ensuring that students receive content at their pace and level of understanding. This personalized approach improves student engagement and academic performance. AI is also reshaping teaching methodologies, providing educators with tools to streamline administrative tasks and enhance instructional strategies. AI-powered tools can automate grading, create interactive lessons, and provide real-time feedback to students. This allows teachers to focus more on facilitating learning and developing critical thinking skills in students. Furthermore, AI is revolutionizing the assessment process, moving beyond traditional exams to more dynamic and insightful evaluation methods. AI-powered assessment tools can analyze student responses in real-time, providing immediate feedback and insights into student comprehension and learning progress. The integration of AI in education also extends to administrative functions, such as student enrollment, scheduling, and resource allocation. AI-powered systems can optimize these processes, leading to more efficient and effective management of educational institutions. Despite the numerous benefits of AI in education, challenges remain, including concerns about data privacy, algorithmic bias, and the need for teacher training. Addressing these challenges will be crucial to maximizing the potential of AI in education and ensuring equitable access to quality education for all. In conclusion, AI is revolutionizing education by enhancing learning experiences, transforming teaching methodologies, and optimizing administrative processes. As AI continues to evolve, its impact on education is expected to grow, offering new opportunities to improve learning outcomes and prepare students for success in the digital age.
 Keywords: Revolutionizing, AI, Enhancing, Learning, Experiences.

Unsupervised Training Sequence Design: Efficient and Generalizable Agent Training

To train generalizable Reinforcement Learning (RL) agents, researchers recently proposed the Unsupervised Environment Design (UED) framework, in which a teacher agent creates a very large number of training environments and a student agent trains on the experiences in these environments to be robust against unseen testing scenarios. For example, to train a student to master the “stepping over stumps” task, the teacher will create numerous training environments with varying stump heights and shapes. In this paper, we argue that UED neglects training efficiency and its need for very large number of environments (henceforth referred to as infinite horizon training) makes it less suitable to training robots and non-expert humans. In real-world applications where either creating new training scenarios is expensive or training efficiency is of critical importance, we want to maximize both the learning efficiency and learning outcome of the student. To achieve efficient finite horizon training, we propose a novel Markov Decision Process (MDP) formulation for the teacher agent, referred to as Unsupervised Training Sequence Design (UTSD). Specifically, we encode salient information from the student policy (e.g., behaviors and learning progress) into the teacher's state space, enabling the teacher to closely track the student's learning progress and consequently discover the optimal training sequences with finite lengths. Additionally, we explore the teacher's efficient adaptation to unseen students at test time by employing the context-based meta-learning approach, which leverages the teacher's past experiences with various students. Finally, we empirically demonstrate our teacher's capability to design efficient and effective training sequences for students with varying capabilities.

TEACHERS' PERSPECTIVE ON TEACHING ASSISTANCE PROGRAM OF MERDEKA BELAJAR KAMPUS MERDEKA AT SMKN 1 TIDORE

This research aims to explore and analyse teachers’ perspectives on the teaching assistance program of Merdeka Belajar - Kampus Merdeka at SMK Negeri 1 Tidore Kepulauan. The research used qualitative method with questionnaire as the primer data and interview as the secondary data. The researcher selected three English teachers at SMKN 1 Tidore Kepulauan to involve in this research as a respondent. As a result, Teaching assistants in the MBKM program, supports school teachers with their English lessons. In addition, teaching assistants can adapt to the school and class environment and student behaviour within the class. When a manager gives him an opinion, he supports it. Second, teaching assistants also use learning media that appeal to the classroom, such as electronic media that are highly relevant today. In addition, we use several teaching strategies that can increase students' interest in learning and solve classroom teaching problems. They usually use games to boost the mood of their students while learning English. Finally, in order to grasp the student's learning progress, the teaching assistant will administer the test as an evaluation form and the test result will be evaluated by the teaching assistant. Therefore, the deficiencies in their teaching to students can be identified.

Collaborative Learning Management System with Analytical Insights: A Preliminary Study

The mode of teaching and learning had been drastically changed over the decades. Therefore, one approach might not fit into all scenarios. Collaborative learning promotes collaboration between the students in completing given tasks with common goals. In this paper, problem statements were formed: (i) the collaboration between students and their teachers in the virtual learning environment has been at the bare minimum, (ii) the learning management system implemented has not been fully utilised with the data and information collected academically. Moreover, systematic literature review (SLR) is practised to investigate insights about collaborative learning, learning management system (LMS) and analytical approaches for student profiling. The aim of this paper is to address three research questions formed in the SLR: (i) What is the most commonly practised methodology for collaborative learning? (ii) What are the typical practised analytical methods and models for student profiling? and (iii) What factors influence students to use the learning management system? Besides, collaborative learning enables the students to conduct group discussions and assignments, promoting mutual interactions and creating knowledge amongst them. Additionally, the third-party LMS lacks synchronous chat feature. A student's profile grants educators valuable insights into the student's academic performance and learning progress. This information contributes to predicting the student’s performance with the assistance of analytical approaches applied. The applied analytical approaches provide useful information about the student’s learning behaviour, allowing the teachers to take adequate action. As a result, a conceptual framework is constructed with hypotheses formulated, reflecting the relations between each construct. Besides, a dedicated collaborative learning management system with machine learning capabilities is an ideal solution, tackling students’ collaboration among peers and between teachers with their academic performance and behaviour taken into account.