Active Learning Process Research Articles

Analysis of Students' Critical Thinking Skills Through the Pakem Learning Model in Science Subject Class VI SD Negeri 78 Palembang

Critical thinking ability is a high-level thinking ability that aims to make reasonable decisions to help the problem solving process actively and skillfully in analyzing, applying and evaluating information obtained or resulting from observations of elementary school students. The learning model is one of the important things in creating an active, creative, effective and enjoyable learning process. The PAKEM model is an appropriate model to use in the learning process. This research aims to determine the critical thinking abilities of class VI students using the PAKEM model in science learning at SD Negeri 78 Palembang. This research uses an experimental method with a quantitative approach. The subjects in this research are 25 VIC class elementary school students. Data collection techniques in this research use observation, tests, interviews and documentation. Data analysis techniques use the normality test, homogeneity test and T-Test. The results of this research found that there were 8 students with high critical thinking skills, with a score range of 85-100, getting a percentage of 32%. Medium critical thinking ability, totaling 12 students, with a score range of 75-80, got a percentage of 48% and low critical thinking ability, totaling 5 students, with a score range of 65-70, got a percentage of 20%. The results of the critical thinking skills of class VIC students using the PAKEM model in science learning at SD Negeri 78 Palembang overall students reached 82.4% in the good category.

Med blick, hand och penna

Abstract The aim of this article is to explore the relationship between aesthetics and pedagogy by focusing on the aesthetic design of reading books. The idea that multiple senses and activities interact when children learn to read is not new in educational studies. Research shows that children’s aesthetic experiences can contribute to increased learning outcome. In this article, we discuss the application of such considerations by examining two reading books in the Swedish series Vill du läsa? (1935–1936) and Nu ska vi läsa (1948–1949), thus taking a historical perspective on the topic. The books were illustrated by two of Sweden’s most famous artists, Elsa Beskow and Ingrid Vang Nyman. We examine how the books appeal to the reader’s creativity and playfulness. Our theoretical starting point is Walter Benjamin’s reflections on the reading and writing child where the gaze is also important. Benjamin’s thoughts were important for Swedish reform pedagogy, which in turn influenced the work of Elsa Beskow and Ingrid Vang Nyman. With the reform pedagogy’s celebration of the creative child, the focus shifts from the book as a product to the actual learning process for which the aesthetic is a prerequisite.

Young People’s voices on social justice: a participatory storytelling and action learning approach

ABSTRACT South Africa is home to a large youth population, defined in South Africa as aged between 18 and 34 years. In working to transform our unequal society, we need to take diverse youth voices, including young people at university, into account regarding what matters to them. To enable their voices, the paper recounts a participatory storytelling research project with students in the educational space of one South African university. Using individual and collective digital storytelling, participants produced an archive of everyday stories, which then comprised a data base for them to analyse social in/justice issues and themes and co-create knowledge from the ground-up, with their emergent ideas categorised in a social injustice map. Through the iterative action learning and reflective process, participants developed their critical awareness of injustices and enhanced their sense of their own epistemic agency to contribute to change. Both the project process and the formation of intersecting capabilities for the co-creation of substantive reparative knowledge about social injustices and fairness were advanced through the project. Finally, it is suggested that these two capabilities might be applied to young people globally as crucial for contributions to epistemic agency and for making more just future societies.

The Effectiveness of Project-Based Learning Assisted by Digital Technology to Improve Problem-Solving and Critical Thinking Skills in SMKN 3 Sampang Students

Lack of students' ability to find idols that reflect national values ​​and weak vision of their future. Technology-based PjBL learning is applied to engage students in active and collaborative learning processes, helping them develop critical thinking and problem-solving skills. This study aims to analyse the effectiveness of project-based learning (PjBL) supported by digital technology in improving students' critical thinking and problem-solving skills at SMKN 3 Sampang. This study is a quantitative study with a positivist approach. A descriptive survey approach examines variables and research units without considering the relationship between variables. The results show that this method is effective in improving these skills and motivating students to be more involved in learning, with environmental support playing an important role in optimizing results. In conclusion, innovation in learning methods that are adjusted to technological developments and the needs of the world of work is needed to ensure that vocational high school graduates have adequate competencies and are relevant to industry demands.

Playful Dramatizations – Doing German the Nordic Way

Nordic perspectives on playful learning have been defined by values and preconceptions associated with play in schooling. However, playful learning also emerges in specific ways as part of the patterns of relations that form classroom teaching and learning. Patterns can be understood as sociomaterial relationships in practice that create rhythms which become constitutive for specific teaching and learning practices (Sørensen, 2009). In the paper, I identify and trace ways in which specific patterns are created by multiple relationships that enable and hold together playful learning activities. With a focus on patterns of relations, I draw on performative understandings of playful learning which are holistically defined by complex sociomaterial relationships. The paper explores how these patterns enact Nordic ways of doing playful learning that are defined by both specific materialities, moods, and rhythms of doing language learning in secondary schooling. The paper builds on observations and interview data from a project in which teachers and students from three Danish schools experimented with playful learning in the school subjects English and German. In the project, experimentation and didactic development were enabled through action learning processes involving the participating teachers and the researcher. Experiments were scaffolded through use of the platform Drama Studio, where students can create animated stories using avatars in multimodal drama production. The paper focuses on a specific case in which the teaching of German became part of doing hygge as a seasonal mood in the classroom during an unusually long, four-hour German session. In the dynamics of enacting German as hygge, multiple relationships emerged that both held together and transcended the apparently delineated activity of doing German through Drama Studio.

Construction of Al–Si interatomic potential based on Bayesian active learning

Nanoscale simulations for optimizing the performance and processing of Al–Si alloys are currently facing two major obstacles: the scarcity of high-quality semi-empirical potentials tailored to complex alloy systems, and the prohibitively high computational cost associated with ab initio molecular dynamics simulations. In order to enhance simulation efficiency and accuracy of the Al–Si alloys’ microstructural evolution, this study employs a dynamic active learning technique, FLARE, to develop a non-parametric machine learning potential that combines the high accuracy of density functional theory (DFT) with the efficiency of classical molecular dynamics (MD). Without relying on extensive initial ab initio molecular dynamics data or existing databases, collection of the necessary data is progressively made during the active learning process, thereby constructing a potential capable of accurately simulating the structure and dynamics of high-temperature Al–Si alloys. By comparing with experimental measurements and ab initio molecular dynamics calculations, the high accuracy and computational efficiency of this potential is demonstrated in predicting energy, force, structure, and dynamic properties. The results provide novel theoretical insights for optimizing Al–Si alloy processing and underscore the usefulness of active learning methods in constructing high-accuracy potentials.

Enhancing protein aggregation prediction: a unified analysis leveraging graph convolutional networks and active learning.

Protein aggregation (PA) is a critical phenomenon associated with Alzheimer's and Parkinson's disease. Recent studies have suggested that factors like aggregation-prone regions (APRs) and β-strand interactions are crucial in understanding such behavior. While experimental methods have provided valuable insights, there has been a shift towards computational strategies, particularly machine learning, for their efficacy and speed. The challenge, however, lies in effectively incorporating structural information into these models. This study constructs a Graph Convolutional Network (GCN) to predict PA scores with the expanded and refined Protein Data Bank (PDB) and AlphaFold2.0 dataset. We employed AGGRESCAN3D 2.0 to calculate PA propensity and to enhance the dataset, we systematically separated multi polypeptide chains within PDB data into single polypeptide chains, removing redundancy. This effort resulted in a dataset comprising 302 032 unique PDB entries. Subsequently, we compared sequence similarity and obtained 22 774 Homo sapiens data from AlphaFold2.0. Using this expanded and refined dataset, the trained GCN model for PA prediction achieves a remarkable coefficient of determination (R 2) score of 0.9849 and a low mean absolute error (MAE) of 0.0381. Furthermore, the efficacy of the active learning process was demonstrated through its rapid identification of proteins with high PA propensity. Consequently, the active learning approach achieved an MAE of 0.0291 in expected improvement, surpassing other methods. It identified 99% of the target proteins by exploring merely 29% of the entire search space. This improved GCN model demonstrates promise in selecting proteins susceptible to PA, advancing protein science. This work contributes to the development of efficient computational tools for PA prediction, with potential applications in disease diagnosis and therapy.

Academic Supervision at SMA Negeri 18 Palembang

Minister of National Education Regulation Number 13 of 2007 explains the ability of school principals to understand the Competency Standards of School Principals. The competence of the school principal based on the Minister of National Education Regulation consists of four components. The competency of the principal is an absolute ability to be mastered and practiced by the principal to lead and guide his subordinates within the scope of the school. One form of application is to carry out supervision competencies. This competency is a real action by the principal to improve the professionalism of teachers. The content of the activity is to approach using appropriate supervision techniques and then follow up. Looking at the results of the analysis of the supervision program in general at SMAN 18 Palembang, it should be followed up in order to improve the quality of educators such as: teachers have not developed and implemented an active learning process, teachers’ understanding of creative learning activities has not been maximized, and learning indicators and programs have not been developed holistically. It is an obligation for the principal to carry out comprehensive and systematic supervision and detail the opportunities for activities to be held along with the feedback from the supervision activities carried out. It is expected to boost the quality of learning for teachers and students in the classroom.

Development of a Natural Language Processing (NLP) model to automatically extract clinical data from electronic health records: results from an Italian comprehensive stroke center

IntroductionData collection often relies on time-consuming manual inputs, with a vast amount of information embedded in unstructured texts such as patients’ medical records and clinical notes. Our study aims to develop a pipeline that combines active learning (AL) and NLP techniques to enhance data extraction in an acute ischemic stroke cohort. Materials and methodsConsecutive acute ischemic stroke patients who received reperfusion therapies at IRCCS Humanitas Research Hospital were included. The Italian NLP Bidirectional Encoder Representations from Transformers (BERT) model was trained with AL to automatically extract clinical variables from electronic health text. Simulated active learning performances were evaluated on a set of labels representing patients’ comorbidities, comparing Bayesian Uncertainty Sampling by Disagreement (BALD) and random text selection. Prognostic models predicting patients’ functional outcomes using Gradient Boosting were trained on manually labelled and semi-automatically extracted data and their performance was compared. ResultsThe active learning process initially showed null performance until around 20% of texts were labelled, possibly due to root layers freezing in the BERT model, yet overall, active learning improves model learning efficiency across most comorbidities. Prognostic modelling showed no significant difference in performance between models trained on manually labelled versus semi-automatically extracted data, indicating effective prediction capabilities in both settings. ConclusionsWe developed an efficient language model to automate the extraction of clinical data from Italian unstructured health texts in a cohort of ischemic stroke patients. In a preliminary analysis, we demonstrated its potential applicability for enhancing prediction model accuracy.

Yabancı Dil Öğretiminde Öğretmen ve Öğrenci Merkezli Yaklaşımlar: Sosyal Formların Etkili Kullanımı

In today's world, where information is easily accessible and the capacity of artificial intelligence challenges the limits of human intellect, fundamental changes are required in education systems. However, traditional educational approaches in Turkey still treated students as passive recipients of information, which can negatively impact the development of skills such as critical thinking, problem-solving and creative idea generation. Particularly in the teaching of social sciences, humanities and Turkish as a foreign language, student-centered and goal-oriented approaches that rely on the effective use of social forms play a crucial role in enhancing students' language skills and engaging them in the active learning process. The purpose of this study is to introduce student-centered teaching, social forms and goal-oriented teaching approaches and to examine how these approaches can create a transformation in education. Specifically, the positive effects of these methods on improving language skills, critical thinking, creative problem-solving, and effective communication abilities will be emphasized. As a method, literature review and theoretical analysis will be used. Existing studies on these approaches will be examined and the effectiveness of student-centered teaching methods in the context of social forms and goal-oriented strategies used in education will be evaluated. Additionally, a comparative analysis of these methods with traditional approaches will be conducted. The results show that student-centered teaching, social forms, and goal-oriented teaching strategies deeply enhance students' language skills and encourage them to think more independently, critically and creatively. These findings indicate that Turkey's education system needs to adopt innovative approaches to better align with the demands of the current information age. The results of this study provide a significant foundation for the development and implementation of new pedagogical strategies in the fields of social sciences and language teaching. Moreover, these innovative approaches, supported by PISA results, could play a critical role in improving Turkey's educational performance. Keywords: Foreign Language Teaching, Student-Centered Approaches, Goal-Oriented Instruction, Social Forms, Plenum, Partner Work, Group Work, Individual Work

An active learning Kriging-based Bayesian framework for probabilistic structural model exploration

The Bayesian framework in structural health monitoring includes both modal identification and model exploration. Probabilistic model exploration, also named as model updating, can effectively estimate the structural parameters and quantify their uncertainties. However, it can be computationally intensive on application to real-world large-scale structures. Meta-models, e.g. Kriging models, can help tackle this challenge but they also introduce more uncertainties. In this paper, a novel Bayesian framework combining the active learning Kriging approach is proposed. The framework comprises three major components: the improved fast Bayesian spectral density approach for modal identification, the active learning Kriging method for meta-modelling, and the Bayesian structural model exploration. The Transitional Markov Chain Monte Carlo algorithm is implemented throughout the framework to sample the posterior distributions. The uncertainties from three aspects, i.e., (1) measurements, (2) meta-model construction and (3) finite element modelling, are considered in definition of the likelihood function adopted in both the active learning and model exploration processes. Compared with the ordinary Kriging model and adaptive Kriging approach using U function, the proposed active learning method significantly reduces the uncertainties of the Kriging predictor and improves its local prediction performance with fewer samples. The proposed framework is validated by a continuous test beam in the laboratory and applied to a real-world cable-stayed bridge using structural health monitoring data. A mode-matching criterion is used to overcome the difficulty of closely spaced modes in model exploration of the cable-stayed bridge. As the proposed framework is data-driven, no weighting hyperparameters are required. The active learning Kriging-based Bayesian framework can directly process structural dynamic time history response and conduct probabilistic model exploration with multiple uncertainties included, and therefore is promising in application to major structures.

Sequential and adaptive probabilistic integration for Bayesian model updating

The present study attempts to introduce a Bayesian perspective to marginal likelihood estimation. For this purpose, the Bayesian marginal likelihood inference (BMLI) framework is first developed, where the posterior statistics of the marginal likelihood are estimated using efficient random process sampling. The sequential and adaptive probabilistic integration (SAPI) method is then proposed within the BMLI framework to efficiently infer the posterior distribution of the model parameters as a result of the marginal likelihood estimation. In this method, an adaptive tempering of the likelihood function is presented to draw samples from a series of intermediate distributions to perform probabilistic integration sequentially, and the samples are finally converged to the target posterior domain. An active learning process is also designed to accelerate the sequential integration with a minimum number of likelihood function observations. Four numerical examples are investigated and the superiority of the SAPI method over other sequential sampling methods is demonstrated.

The Think Pair Share Learning Model's Active Learning Process in Basic Electrical Subjects at SMKN 1 Lhoknga, Aceh

The Think Pair Share Learning Model's Active Learning Process in Basic Electrical Subjects at SMKN 1 Lhoknga, Aceh

Interpretable machine learning boosting the discovery of targeted organometallic compounds with optimal bandgap

Organometallic compounds (OMCs) have attracted tremendous attention in various fields, such as photovoltaic cell and high-k dielectric application, due to their beneficial properties. Despite their potential, the progression of OMCs into industrial applications is hindered by the limited databases available for their properties and the absence of efficient surrogate models. To address this, in this study, optimally selected feature-based surrogate models for predicting the electronic properties of OMCs are constructed via various multiscale features and extensive database. To this end, high-throughput calculation was performed to obtain electronic properties of more than 18k materials generally known as organometallics, augmenting around 12k organic materials obtained from the public open data set, OMDB-GAP1. For generating features closely related to OMCs, descriptors encapsulating the information ranging local to global, also other widely-used composition-, structure-based features (more than 3.5k in total) were employed. Among these descriptors, we identified 48 critical features that elucidates the physicochemical underpinnings of OMCs’ properties, suggesting their impact on the properties of OMCs. The light gradient boosting machine model achieved high-accuracy predictions across the entire database with just 1 % of the total descriptors, sufficiently compared to the entire sets (decreased of around 0.01 by R2 score and 0.01 eV by MAE). Furthermore, the efficacy of active learning process was demonstrated to find OMCs with optimal properties rapidly. As a result, expected improvement outperforms other methods by identifying 69 % of the target materials only searching 46 % of the total search space. Our constructed platform with a high-throughput calculated database can pave the way for the rapid screening of OMCs for the targeted industrial application, and suggest a comprehensive grasp of the intrinsic properties of OMCs and related compounds.

IMPLEMENTATION OF ACTIVE LEARNING METHODS IN INCREASING STUDENT INTEREST AND UNDERSTANDING IN HISTORY LESSONS AT SMAN 14 MEDAN

This research aims to explore and analyze the implementation of active learning methods in increasing students' interest and understanding in history lessons at SMAN 14 Medan. Active learning methods are used as the main approach to presenting historical material to students. Research was conducted by collecting qualitative and quantitative data from students involved in the active learning process. The research results show that the implementation of active learning methods is effective in increasing students' interest in history lessons and increasing their understanding of the material being taught. These findings underline the importance of using interactive and participation-based learning methods to strengthen the learning process in schools. The implications of this research provide a basis for the development of more effective learning strategies in the context of history learning in high schools. However, the implementation of active learning methods depends not only on the type of activity carried out but also on the teacher's pedagogical skills in designing and implementing interactive learning. Therefore, continued support for developing teacher skills in using active learning methods is the key to success in improving the quality of history learning at SMAN 14 Medan. Thus, this research provides a valuable contribution to our understanding of the importance of active learning methods in increasing students' interest in and understanding of history lessons. Continuous efforts are needed to expand the use of these methods and overcome challenges that may arise in their implementation, so as to create more meaningful and valuable learning experiences for students in understanding their historical heritage.

Improving lung point-of-care ultrasound (POCUS) training and accreditation - a multidisciplinary, multi-centre and multi-pronged approach to development and delivery using the action learning process

BackgroundPoint-of-Care Ultrasound (POCUS) consists of a range of increasingly important imaging modalities across a variety of specialties. Despite a variety of accreditation pathways available in the UK, lung POCUS training remains difficult to deliver and accreditation rates remain suboptimal. We describe a multidisciplinary, multi-centre, and multi-pronged approach to lung POCUS education within a region.MethodsA survey was conducted in a region. From these results, bottlenecks were identified for improvement. We utilised key stages in an established accreditation pathway, and the Action Learning process. Analysing participant feedback, consensus amongst the team, regional educational needs, and leveraging the expertise within the faculty, we implemented several solutions which were multidisciplinary, multi-centre, and multi-pronged. We also set up a database across several accreditation pathways to facilitate supervision and assessment of rotational trainees.ResultsUtilising the Action Learning process, we implemented several improvements at elements of the lung ultrasound accreditation pathways. An initial regional survey identified key barriers to accreditation: lack of courses (52%), lack of mentors (93%), and difficulty arranging directly supervised scans (73%). A multidisciplinary team of trainers was assembled. Regular courses were organised and altered based on feedback and anecdotal educational needs within the region. Courses were set up to also facilitate continuing professional development and exchange of knowledge and ideas amongst trainers. The barrier of supervision was removed through the organisation of regular supervision sessions, facilitating up to fifty scans per half day per trainer. We collected feedback from courses and optimised them. Remote mentoring platforms were utilised to encourage asynchronous supervision. A database of trainers was collated to facilitate triggered assessments. These approaches promoted a conducive environment and a commitment to learning. Repeat survey results support this.ConclusionLung ultrasound accreditation remains a complex educational training pathway. Utilising an education framework, recruiting a multidisciplinary team, ensuring a multi-pronged approach, and fostering a commitment to learning can improve accreditation success.

IMPLEMENTING MIXED AUGMENTED AND VIRTUAL REALITY IN AN ANIMATED FLIPPED CLASSROOM FOR LOW-ACHIEVING WRITERS IN RURAL PRIMARY SCHOOLS

The study examined the implementation of mixed augmented and virtual reality in an animated flipped classroom for low-achieving writers in rural primary schools. A quasi-experimental study employing a pre-post, non-equivalent control group design was conducted. In a flipped classroom, students use digitised or online lectures as pre-class homework, then engage in active learning process in the classroom such as peer teaching, projects, problem solving and group activities. In other words, the typical classroom of lecturing only during class time is “flipped” now to active activities that involve problem solving and group project work in class. Results show that this flipped learning approach improves rural learners’ proficiency, particularly in vocabulary acquisition. It was found that there was a statistically significant difference in vocabulary level between trials at the midway time point. Apart from that, there is a statistically significant difference in the vocabulary level in the intervention trial at the end (post) of the trials. However, successful implementation of this technology necessitates a comprehensive approach considering cultural and infrastructural factors.

Analysis of Motivation in My English Learning Experience

In recent decades, China has witnessed great developments in its economy, intercultural communication, and English education. English was a compulsory course taught in secondary schools and first two years of universities as a foreign language in most places. The large number of English learners leads to many sophisticated researches focusing on English education in China. Motivation is an essential factor in mastering a second language. This essay aims to investigate the motivation in my 13 years’ English learning and its influences on my actual learning process, and thus promote English education in China. Dörnyei’s L2 Motivational Self System was chosen as a guided theory since it combines a lot of important theoretical L2 approaches and elaborated motivation in a rather comprehensive way. In this essay, I will first briefly discuss the concept of L2 Motivational Self System. Then, I will analyse how the motivations affect my learning process with the guidance of L2 Motivation Self System. Finally, I will explore the effective application of this theory in teaching English to Chinese speakers.

Education 4.0 framework for sustainable entrepreneurship through transdisciplinary and abductive thinking: a case study

The global challenges and problems that threaten sustainability and human well-being demand the provision of creative, innovative, and affordable solutions so that they are within the reach of different levels of society. From the point of view of Higher Education, this is a major challenge since it is responsible for training new generations with the competencies and knowledge that allow them to respond to contemporary challenges and problems. This study provides a framework to promote sustainable entrepreneurship through transdisciplinary and abductive thinking. This combination of approaches will allow students to identify, analyze, and understand contemporary problems and, through a systematized process based on the “design thinking” design model, propose creative, innovative, and affordable solutions that can be implemented through entrepreneurship mechanisms. The identified findings that will be presented in this work are (i) the relevance of the Education 4.0 model as a reference to promote transdisciplinarity in a current teaching-learning context, (ii) The relevance of “design for sustainable development” as a trigger for sustainable entrepreneurship, (iii) The formation of desirable competencies in the profile of the higher education student based on transdisciplinarity and abductive thinking within the active learning process, and (iv) quantitative and qualitative measurement that allows measuring acceptance and evaluation of the long-term sustainability of the solutions obtained. This work will present the implementation of the proposed framework through a case study. This case study allowed us to identify elements of the proposed reference framework. The case study will address the problem of water scarcity and pollution, describing initiatives to achieve ODS 6, where it explains how sustainable and visionary solutions can be forged through transdisciplinary collaboration and abductive thinking. The project named “STEAM-mural fountain” done by a transdisciplinary working team between academia-society-industry is described, which aims to make technological advances in water treatment and monitoring visible to society.

THE CROSSENS METHOD AS AN ELEMENT OF EDUTAINMENT. USE IN CHEMISTRY LESSONS

The purpose of this paper is to reveal the features of using the interactive crossense tool as an element of edutainment in chemistry classes and highlight the advantages and difficulties of their use. The following scientific methods are used in this paper: the literature screening; the experts’ opinions on the educational trends; definition of the essence of the researched concepts «crossense», «edutainment»; generalization and systematization of scientific sources to determine the state of the problem; comparison of different approaches and identification of leading research concepts. Computerization and access to the Internet in an open knowledge society opens up new opportunities for learning, involving students in an active learning process and stimulating their development. Edutainment, as a contemporary method of learning with interactive technologies and entertainment elements, has become an effective tool for improving education and preparing students for the demands of the modern world. The use of new media and entertainment methods in education provides an exciting and effective learning environment that contributes to the development of various skills and preparation for the challenges of the modern world. The popularity of the crossense method as a component of edutainment indicates the need to introduce innovative approaches to learning, especially in the field of chemistry, to ensure the interest and effectiveness of learning. The importance of introducing the crossense method into the chemistry learning process is highlighted, and its effectiveness in engaging students in the subject and increasing their success is demonstrated. By using the analysis of practical examples and scientific studies, it is demonstrated how the application of the crossense method can make chemistry learning exciting and effective. It is noted that with the development of ICT, elements of edutainment have become extremely popular and successful among different age groups, which contributes to increasing interest in learning and improving its results among participants of the educational process. The school students survey results concerning their attitude to crossense are presented. It was established that the majority of respondents have a positive attitude towards the use of crossense in chemistry lessons.