Active Learning Theory Research Articles

Penerapan Metode Talaqqi dalam Program Tahfidzul Qur’an di Pondok Pesantren Riyadlus Sholihin Kota Probolinggo

This study aims to examine the implementation of the Talaqqi method in the Tahfidzul Qur'an program at Riyadlus Sholihin Islamic Boarding School, as well as to evaluate its impact on memorization proficiency. The education of Tahfidzul Qur’an within Islamic boarding schools encounters numerous challenges, particularly regarding the adoption of effective teaching methodologies and the integration of technology to enhance students' memorization capabilities. Utilizing a qualitative approach with a case study design, this research focuses on the application of the Talaqqi method at Riyadlus Sholihin Islamic Boarding School. This methodological framework allows for a comprehensive exploration of the learning processes and the dynamics of interaction between educators and students. The findings of this study support the theory of active learning in the context of Qur'anic education, positioning the Talaqqi program as a highly effective strategy for Qur'anic memorization. This method transcends being a mere instructional technique; it embodies a pedagogical process that emphasizes the importance of quality interactions between educators and students, which are often vital for achieving successful outcomes in memorization. Moreover, this research not only reinforces the theory of active learning but also highlights practical applications pertinent to Qur'anic education, addressing the contemporary challenges and needs faced by students. It provides valuable insights for educators on effective strategies, advocating for the use of technology as a complementary tool while underscoring the critical role of personal interaction intrinsic to the Talaqqi method.

Automating Discovery of Electrochemical Urea Synthesis Reaction Paths via Active Learning and Graph Theory

Automating Discovery of Electrochemical Urea Synthesis Reaction Paths via Active Learning and Graph Theory

Educational Strategies For Healthy Habits in Secondary School: Promoting Integral Health

Objectives: This article aims to integrate positive habits in secondary education, focusing on students' mental and physical health. It aims to promote self-care practices and emotional resilience. Theoretical Framework: It is based on theories of emotional education, active learning, and public health, highlighting the importance of training in healthy behaviors for students' physical, emotional, and social well-being. Method: A mixed method was used, using interactive activities, awareness-raising workshops, and digital technologies. Periodic evaluations were carried out to measure the impact of the interventions and encourage the active participation of teachers and students. Results and Discussion: Implementing the educational strategies improved physical activity intervention and reduced risk behaviors, such as substance use. Research Implications: The findings suggest that promoting positive behaviors in secondary education increases academic achievement and contributes to students' overall development. They highlight the need for educational policies that support these initiatives and encourage collaboration between school, family, and community. Originality/Value: It offers an innovative educational proposal that prioritizes students' personal growth and creates an environment conducive to learning. It fosters active collaboration between students and teachers and develops socio-emotional skills that strengthen the sense of community and belonging.

The mining of China's policies against COVID-19 based on a policy target and tool co-evolution framework

Mining all COVID-19 policies issued by China can provide valuable lessons for both China and other countries in future pandemic control efforts. In this paper, we introduce a novel framework for mining the co-evolution of policy targets and policy tools. We employ bibliometric methods, text mining, and network analysis to explore the entire evolution of China's COVID-19 policies. Examining 1154 central government policies, (a) we extract policy targets from each policy, uncovering their evolution across different stages of the pandemic; (b) propose to identify the policy tool used in each policy unit by integrating an automatic identification model and active learning. We also reveal the categorical structure of these tools; (c) characterize the co-evolution pattern between policy targets and policy tools, shedding light on their dynamic relationship. Our findings indicate that policy targets have shifted across various stages, revealing unique characteristics in China's COVID-19 prevention and control efforts. Notably, there is a self-paradox between prevention measures and economic development. We identify the inadequateness in the distribution and utilization of policy tools. Ensuring the alignment of policy targets with appropriate tools is crucial. This synchronization and co-evolution between policy targets and tools are essential for enhancing the functional approach to policy implementation. This paper is the first systematic mining and review about the COVID-19 policies issued by the Chinese government, and our policy target and tool co-evolution mining framework provides a new quantitative framework for policy mining, especially an improved large language model and active learning theory are integrated to identify the policy tools automatically.

Online Learning from the Peers in Higher Education

The main reason for the research is to find out what factors affect the student's participation and engagement to peer learning in the university's online course. Today's higher education has a strong foothold in learning theories and pedagogical approaches that focus on collaborative learning, networking and working with peers. Now when digital technology and eLearning platforms have established their place in the infrastructure of educational institutions, we should have the keys to implementing modern education in practice. The hypothesis of the article suggests that we do not yet know how to exploit the capabilities of modern learning technology in a way that students can learn from their colleagues, peers. The practical objective of this article is to create information for planning online courses and organizing weekly tasks. The research data for this paper was drawn up from two different online implementations of the single university course. Students conducted a Moodle-based survey in which they were asked about the pedagogical approach and tools of the course. One aspect of the research is to increase the understanding of the students' opinions of peer activities in an online course. The theoretical background of the research is based on theories of active learning and learning communities. The research data are also reflected in the scientific literature on peer learning and peer assessment. According to the results, students' opinions on peer learning are quite positive. Students are able to appreciate the learning opportunities offered by assignments and activities, which are open and visible to everyone during the course. Most of the students were not interested in peer assessment, but preferred feedback and grade produced by the teacher. Most of the students opposed the small group assignments of the online course. According to the data, students feared that their contribution was considered weak in the eyes of others in the course. The results of this document underline the need for further research into peer learning in higher education. Many strategies that utilize collaborative learning may be useful, but there are still questions about the individual needs, fears and motivation of peer learning. In addition, it would be important to find a way to strengthen mutual trust through online courses.

Active methods in Entrepreneurship Education: a case study with engineering students

ABSTRACT Future engineers are labelled entrepreneurial engineers, possessing business skills that enable them to perform effectively in various contexts. Entrepreneurship education is a key avenue for equipping engineering students with these skills, with a growing propagation in their curricula in recent years. Still, scholarly efforts are limited in this domain, particularly regarding the application of active and experiential learning methods, despite early studies highlighting their effectiveness in developing entrepreneurial competencies. This case study presents a course for engineering undergraduates based on active learning theories and methods. We offer a comprehensive view of their perceived usefulness, opportunities, and challenges from the perspectives of the students, educator, and entrepreneurship education experts. This study advances the discussion on the intricacies of active learning applications in entrepreneurship, contributes to the limited literature on engineering entrepreneurship education, and provide insights to educators and pedagogical designers to effectively incorporate active methods into their curricula.

Enhancing the well-being of early childhood education practitioners working in resource-constrained contexts

Background: The recent migration of early childhood care and education function brought with it many changes that affect the workplace well-being of practitioners and centre managers, yet little research has reported on the voices and experiences of those working on the ground.Aim: To find out the current state of well-being of practitioners working in resource-constrained contexts to help us theorise how might they take action to improve it.Setting: Early childhood care and education centres in rural and township areas in six different provinces.Methods: The first author conducted 10 semi-structured focus group interviews with 80 practitioners recruited by collaborating researchers at various universities. All ethical protocols were adhered to. The focus groups were audio-taped, transcribed and thematically analysed independently by the two authors before reaching consensus.Results: Two themes were identified: (1) participants experienced negative emotions arising from both internal and systemic aspects that were affecting their well-being. (2) Several factors promoted the well-being of practitioners despite their difficult circumstances.Conclusion: Based on the findings, it appears that close collaboration among practitioners within centres and, with other external stakeholders, was an important factor for enhanced well-being. Drawing from action learning theory, we suggest how practitioners can collaborate to sustain their well-being while addressing the challenges they face.Contribution: This collaborative action learning approach can be applied not only by ECCE centres, but to any organisation wishing to improve the well-being and practice of their members.

Effects of flipped English learning designs on learning outcomes and cognitive load: Workload of out‐of‐class activities versus during‐class activities

AbstractBackgroundSome studies have researched the correlation between flipped learning and cognitive learning outcomes; however, there is a paucity of research elaborating on the effects of flipped language learning on cognitive load (CL).ObjectivesThis study investigates the effects of using flipped learning designs (student‐led, teacher‐led and collaboration‐led) on learning outcomes and CL management during out‐of‐class activities versus during‐class activities.MethodsA mixed methods research was used to concurrently triangulate different strands of data on the effects of flipped learning designs on English as foreign language (EFL) learners' learning outcomes and CL. A total of 122 EFL learners were randomly assigned to either the control or experimental group and participated in the study. The interpretations were made based on running one‐way analysis of variance between four groups.Results and ConclusionThis study evidenced the efficacy of the interactive use of collaboration‐led flipped learning design over student‐led and teacher‐led designs for improving learning outcomes and lowering CL during computer‐assisted language learning (CALL) course.Pedagogically, CALL practitioners need to develop and integrate a well‐organized combination of student‐led and teacher‐led flipped learning activities for during‐class and out‐of‐class phases with respect to the CL and learning material complexity, while also considering the specific contexts and goals of their instructional settings. Theoretically, the results indicate the necessity of merging active learning and sociocultural theories into an instructional design to take advantage of the identified affordances of flipped language learning approach in terms of psychological effects (CL management) and learning effects (CALL outcomes).

A novel outlier calendrical heterogeneity reconstruction deep learning model for electricity demand forecasting

The development of an accurate electricity demand forecasting model is of paramount importance for promoting global energy efficiency and sustainability. Nonetheless, the presence of outliers and inappropriate model training can result in suboptimal performance. To tackle these challenges, this study explores the potential of Convolutional Neural Network (CNN) and active learning theory as forecasting solutions, offering high efficiency and advantages for long time series. In this study, a hybrid model that combines Isolation Forest (IF), Outlier Reconstruction (OR), CNN and Random Forest (RF) is conducted to mitigate computational complexity and enhance the accuracy of electricity demand forecasting in the presence of outliers. IF is employed to detect outliers in electricity demand time series, while OR is used to reconstruct subsequences based on calendrical heterogeneity for training. CNN is applied for both training and forecasting, and the final output is combined using RF. The effectiveness of the proposed IF-OR-CNN-RF model is validated using electricity data collected from recent sources in Australia at different sampling frequency. The experimental results demonstrate that, in comparison with other popular CNN-based electricity demand forecasting models, IF-OR-CNN-RF model outperforms with significantly improved performance metrics. Specifically, Mean Absolute Error (MAE), Root Mean Squared Error (RMSE) and R-squared values are 77.92, 179.18 and 0.9769 in 5-minute frequency; 162.67, 353.96 and 0.9775 in 10-minute frequency; 841.27, 1374.79 and 0.9622 in 30-minute frequency; 2746.01, 3824.00 and 0.9262 in 60-minute frequency; 9106.08, 12269.04 and 0.8044 in 120-minute frequency. IF-OR-CNN-RF model represents a valuable framework for future electricity demand forecasting, particularly in scenarios involving outliers.

ICT in Higher Education: A Tool for Sustainable Development in West Africa.

ICT has been documented in literature to drive sustainable growth and development in many sectors as substantial growth may not be accounted for in isolation on the role of ICT. We looked at the role of ICT in higher education in West Africa region by examining two concepts of sustainable development goals (SDGs), the goal of quality education (goal 4) and the goal of industrial innovations and infrastructure (goal 9). Our idea is that ICT can be used as a tool in higher education to spread knowledge that could led to the attainment of sustainable development in the West Africa region. We examine the role of ICT in higher education on sustainable development by using cross sectional and ex post facto research design, purposive sampling was used to select five countries within the West Africa region based on the accessibility of data within the scope of 2013 and 2022. Active learning theory was used to underpinned the study while least square method of analysis was used as method of data analysis. The data were tested for linearity and the results of the study findings shows that the role of ICT in higher education positively affects sustainable development in the West Africa. The study recommends investment in ICT in higher education as an active learning tool to foster sustainable development as well as to optimally achieve sustainable development in West Africa.

The Features of Modeling Mediation in Digital Support for Formation of Multiplicative Concepts.

The formation of multiplicative concepts of complex structure is a challenge for educational design. Students' typical mistakes and strategies spontaneously obtained through hands-on trials in solving balance scale problems have been at the center of many studies within this trend. However, the consideration of relevant concept-mediated actions based on Learning Activity Theory (Davydov) remains a relevant problem. We aimed to develop a feasible framework for digital support of students' learning actions in this domain. The productiveness of individual and joint forms of work with dynamic objects in a digital environment, mediated with conceptual modeling tools, was compared. The participants were 181 fifth-grade students (11-12 years old). The first group (123 students) was taught a special procedure of modeling, which they then could test during individual computer-supported problem-solving. The second group (58 students) worked in pairs (jointly), using the same procedure. The pre- and post-tests included challenging problems on prediction of the balance state and ways to regain equilibrium. Comparison of the pre- and post-test results of the joint computer-supported activity instruction revealed students' progress in solving critical tasks as guided by the conceptual modeling procedure of load evaluation instead of "empirical" correlations of weights and distances. The individual computer-supported work, however, failed to overcome the belief of some students in the efficacy of trial-and-error methods as applied to the digital simulation with instant feedback. The special organization of the computer-supported concept-mediated joint activity may promote multiplicative concept formation.

Transformasi metode pembelajaran melalui pendampingan Active Learning bagi guru MTsN 3 Magetan

Active Learning is an educational approach that encourages students to actively participate in the learning-teaching process, promoting deep understanding and increasing student engagement in the classroom. Facing challenges in student-centered learning, MTsN 3 Magetan implemented training and mentoring in active learning to enhance student engagement and teacher creativity. This training, attended by 44 teachers from March to October 2023, employed blended learning methods and covered aspects such as active learning theory, literacy, and numeracy. Evaluations through pre-tests and post-tests demonstrated significant improvements in teachers’ understanding and skills. The pre-test showed an average understanding of 65%, which increased to 87% in the post-test. This active learning approach encouraged students to actively engage in the learning process, enhancing their analytical and critical skills, while teachers became more effective in designing and managing actively involved learning activities. The training contributed to improved learning effectiveness at MTsN 3 Magetan by increasing student motivation and participation, as well as teacher creativity in designing interactive learning experiences.

Theoretical Foundations of the Flipped Classroom

This study examines the theoretical foundations of the flipped classroom based on a literature search using various online sources such as Google Scholar, Internet Archive Scholar, ScholExplorer, Chatsonic, and ChatGPT. Processing the collected data involved organising, analysing and interpreting the information contained in physical or electronic documents, and after careful reading of the data, pre-processing was necessary to eliminate the content of little relevance to the study. Next, we conducted a textual analysis, extracting key concepts and basic theories related to the flipped classroom. Finally, we grouped authors by theory, classifying secondary contributors under the key author of each theory. The interpretation of the results incorporated in the discussion consisted of answering the research questions. As for the study site, it comprises the entire web. Our results indicate that three main theories support the flipped classroom method: active learning theory, pedagogical differentiation theory and intrinsic motivation theory. Active learning theory stresses the importance of learning through action and play, emphasising the student’s active involvement in his or her learning process. In this approach, the student plays a central role in driving learning, creating a game-like experience, and fostering intelligence development. The theory of educational differentiation, on the other hand, recognises the diversity of students’ skills, interests and learning styles. It encourages teachers to adapt their teaching to meet students’ needs, promoting their learning and success.

Assessment of the Approaches Used in Teaching and Its Influence on Selection of Science Subjects among Female Students in Public Secondary Schools in Arusha District

Teaching approaches and its influence on selection of science subjects among female students in public secondary schools in Arusha District Council, Tanzania was investigated. Objectives were to; highlight approaches used in teaching of science subjects in public secondary schools and determine how teaching approaches influence female students’ choice of science subjects in public secondary schools. Active Learning theory guided the study. Convergent mixed methods design suitable to collect data through questionnaires, documentary analysis and interview guide was adopted. Sample size of 132 respondents; 80 students & 44 teachers selected by simple and stratified random sampling techniques while 8 school heads were purposively selected. Validity was established through expert judgment. Reliability was determined and reliability index, QS, r=0.914 and QT, r=0.912 was obtained. Qualitative data were analyzed thematically alongside research questions and presented in narrative forms while quantitative data were analyzed using descriptive statistics in the SPSS and results were presented in charts and tables. The study revealed that student centred, experimental and outdoor teaching/learning approaches attract more girls in taking science subjects. In conclusion, schools with adequate staffing of science teachers and laboratory materials are likely to adopt student centred, experimental and outdoor teaching/learning approaches which encourage female students in selecting science subjects. It is recommended that, since Tanzania is emphasizing industrialization as a backbone for economic development, science education for female students in all levels should be given a special attention in terms of proper infrastructures, human resources and funding that will enable teachers to adopt the right teaching approaches.

Science Education for Preschoolers Based on Superstar Learning Access Course Blended Teaching Practice

The rapid development of information technology is changing and even subverting the traditional mode of education and teaching practice. Mixed teaching is an effective way to reform the teaching mode, realize resource sharing and improve the quality of talent training. Based on the concept of hybrid teaching definition, this paper to master learning theory and active learning theory as the theoretical basis, based on super learning online platform of preschool children science education course hybrid teaching practice, further discussed before class, class, after class three stages of teachers and students, in order to provide the experience of mixed teaching reform.

Factors Militating the Growth of Small Scale Business and Employment Creation in Awka Metropolis Nigeria

This study examined factors militating the growth of small scale business and employment creation in Awka Metropolis. Three specific objectives, research questions and hypotheses were formulated with the decomposed variables of the study. The study was anchored on Active Learning Theory. This study adopted survey research design. The study population was five hundred and fifty six (556) workers while the sample size was two hundred and thirty three (233) arrived at using Taro Yamane formula. Data were collected using self-administered questionnaire from the sample of workers at Awka Metropolis. The simple random sampling technique was used for the study. Chi- Square was applied for hypotheses testing. The study found that poor financing, inadequate social infrastructures, lack of managerial skill constitute major challenges for small scale businesses to creation jobs. Therefore, the study revealed that there is a significant relationship between small scale business and employment creation. The study concluded that small scale businesses are essential agents of economic growth and national development. The study recommended among others that government need to put in place new policy guidelines aimed at making the acquisition of funds easier for the entrepreneurs of small scale businesses and also entrepreneurs should aim at giving some basic skills training to the unskilled and semiskilled people engaged to work for them so that they can contribute more positively to the growth of the enterprise.

Designing an Email Attack by Analysing the Victim’s Profile. An Alternative Anti-Phishing Training Method

According to Thomson-Reuters the top cyber threat today is phishing in which people are tricked either to click a malicious link or give out personal information. It’s a fact that 96% of these phishing attacks comes from emails, which amount to more than 3.4 billion daily, as reported by Cisco. Austrian aerospace company FACC, Belgian bank Crelan, Acorn financial services and many other companies were recently fell victims of phishing emails losing millions of dollars. Even if experts provide lists of signs that users should seek in an email in order to understand if it is legitimate or scam, the attackers have elevated the quality of the email messages making them believable and very hard to discern them. In order to respond to this elevated threat, unconventional user training is required, focusing on recognizing a phishing email. Knowing how an attacker thinks and prepares the attack vector against a target, we claim that it will make users more suspicious when they receive one. In this regard, an innovative education intervention (consisted of two phases) was designed and developed. In the first phase, 98 participants were asked to visit an artificial social media profile and prepare a phishing email in order to persuade the victim to click a link. Then, the participants were presented with an innovative guided workflow to prepare a spear phishing email which was based on social media intelligence. In the second phase, they were asked to prepare one more email for the same person applying this time the guided workflow. Comparing the two different emails created, we found that the guided workflow led to the creation of more authentic emails which could potentially trick the victim easier. Based on the theory of active learning, we believe that by teaching users how attackers exploit their personal information in order to develop their attack vectors, it will increase their awareness not only for the typical phishing emails but also for more sophisticated spear phishing attacks.

Impact of Course Learning Factors on Student Interest in Business Analytics Careers

Advancements in internet technology have fundamentally changed how companies conduct their business activities, leading us into a business analytics (BA) era. In this article, the authors aim to investigate factors that could shape students' career choice considerations toward BA jobs after they have been exposed to BA course content in an undergraduate BA course. They investigated various theoretical perspectives, including experiential and active learning theories and social cognitive career theory, and developed a research model. The model testing results show that the organization and logical flow in how the course was designed and delivered, the help offered to manage difficulty of content, and students' individual learning effort could influence perceived learning outcomes, which in turn, had a significant influence on their learning interest. In addition, increases in both learning interest and subjective norm had positive impacts on career choice considerations, with learning interest having a much stronger influence over subjective norm.

Accelerated discovery of magnesium intermetallic compounds with sluggish corrosion cathodic reactions through active learning and DFT calculations

Magnesium (Mg) alloys can potentially be widely applied in transportation, aerospace and biomedical fields due to the light weight and biocompatibility. However, they are usually subjected to serious galvanic corrosions due to high chemical activity. In this work, active learning is employed to discover the intermetallic compounds which can suppress the corrosion cathodic reaction of Mg alloys. The hydrogen adsorption energy, which is a descriptor for the rate of the cathodic hydrogen evolution reaction (HER), is predicted by machine learning models using the geometric and chemical features of the H adatom's Voronoi neighbors. After five active learning iterations, the prediction error of the H adsorption energy for the strong/weak adsorption configuration is 0.196 eV (MAE) with the training set size less than 1% unknown data set. Furthermore, we find that the surfaces with strong H adsorption transfer more electrons to H adatoms than the weak H adsorption surfaces. Finally, the ability of the binary Mg intermetallics to inhibit the HER is ranked according to their surface stabilities and predicted H adsorption energies. This work suggests the binary Mg intermetallics that could greatly suppress the corrosion cathodic reaction through active learning and density functional theory (DFT) simulations, which is expected to accelerate the design of corrosion-resistant Mg alloys.

Survival of the fittest: do firms actively or passively learn survival?

PurposeIn the corporate world, there is no certainty of survival. This research aims to identify firm-level factors that increase or decrease a firm's probability of exit and survival.Design/methodology/approachThe study examines 153 listed textile sector firms in Pakistan over a 10-year period from 2009 to 2018, comprising 1,413 observations. The semi-parametric Cox regression model is used to process the results.FindingsThe study finds that larger and exporting firms are more likely to survive, while those with a high ratio of fixed assets to total assets, high expenditure on advertising and variable costs are less likely to survive. The relationship between age and firm survival is inconclusive.Research limitations/implicationsAdaptability to the external environment provides a competitive advantage that is crucial for textile firms to reduce their chances of exit. The research is valuable for strategic managers and policymakers to identify focus areas to prevent firm exit.Originality/valueThis study supports the active learning theory, which suggests that new entrants in the textile sector of Pakistan should focus on becoming active market players, increasing efficiency and reducing variable costs to survive.