Behaviorism Research Articles

Programmed Instruction is a System for Sustainable Development of Language Skills

Programmed Instruction (PI) stands as a promising system for fostering sustainable development of language skills in learners. With its roots in behavioral psychology and cognitive learning theories, PI integrates principles of instructional design and technology to create a structured and personalized learning experience. This abstract explores how Programmed Instruction contributes to the sustainable development of language skills, emphasizing its effectiveness, adaptability, and potential for widespread implementation. PI capitalizes on its systematic approach, breaking down complex language concepts into smaller, manageable units. Learners progress through these units sequentially, building a solid foundation before moving to more advanced topics. This systematic structure ensures a sustainable learning curve, preventing cognitive overload and fostering long-term retention. Moreover, the adaptability of PI enables learners to proceed at their own pace, accommodating various learning styles and abilities. This personalized approach promotes engagement and minimizes frustration, ultimately leading to enhanced language skill acquisition.The incorporation of technology in PI further amplifies its impact on sustainable language development. Interactive multimedia elements, such as audio, video, and gamified exercises, enhance learner engagement and comprehension. Real-time feedback mechanisms allow learners to track their progress and address areas needing improvement, reinforcing their commitment to continuous learning. Additionally, PI's digital nature transcends geographical boundaries, making quality language education accessible to a diverse global audience, thereby contributing to equitable sustainable development. The sustainable impact of PI extends beyond individual learners. Its structured methodology empowers educators to monitor and adapt instructional content based on learners' performance data, optimizing the teaching process. Furthermore, the scalability of PI makes it a viable solution for resource-constrained environments, reducing the dependency on physical learning materials. In conclusion, Programmed Instruction emerges as a robust system for nurturing sustainable language skill development. By blending effective instructional design, technology integration, and personalized learning, PI provides learners with a comprehensive, adaptable, and accessible pathway to acquiring and enhancing language skills. As education plays a pivotal role in sustainable development, PI's potential to contribute to linguistic competence aligns with global goals for inclusive and equitable quality education.

Friendship, joy, and physical fitness of elementary school students: outcome-based macro evaluation of physical education in Madura Island

The lack of information regarding the benefits of physical education in primary education (SD/MI) in Madura Island resulted in its potential value not being fully realized. In addition, the existence of physical education is often seen as a peripheral or unimportant subject in the school curriculum. Meanwhile, outcomes, which are evaluations at the social or community level, often need to be thoroughly explored. The benefits of physical education ideally are based on the criteria of friends, fun, and fitness. This study seeks information about interpersonal peacefulness, physical activity enjoyment, and physical fitness. The research method used is quantitative and correlational descriptive with a testing design using the discrepancy evaluation model. The respondents involved in this study are 523 students. The results show that the mean of interpersonal peacefulness among students and physical activity enjoyment has met the established criteria, while the mean of physical fitness of students has not met the established criteria. The three variables have a functional relationship with a significant value <0.05. Recommendations that can be given to physical education teachers are to pay more attention to the element of physical activity enjoyment in children. According to hedonism theory, behavioral learning theory, and perceptual theory, humans always seek and repeat any action that gives pleasure. So, if exercising brings joy, they will repeat the activity. The more joy, the more active they will be in exercising.

Feedback delay of sports intelligent learning system based on model predictive control and artificial intelligence

At present, in terms of model predictive control theory and model applications, two-layer segmented linear grid models are dominant. The two-layer piecewise linear lattice model is more effective, does not require too many parameters and is easy to calculate. Since the multi-layer model predictive control is based on a two-layer model, it is very important to study the mechanism and optimization methods of the two-layer model. Artificial intelligence comes from computer science. It tries to understand the nature of intelligence and create new intelligent machines that can react like human intelligence. Research in this field involves robotics, speech recognition, image recognition, natural language processing, etc. Since the emergence of artificial intelligence, theory and technology have gradually matured, and its application fields have also increased. The technological products created by artificial intelligence will embody the development of human wisdom in the future. Sports intelligence learning was first proposed by Lins. Linsley found that under laboratory conditions, by observing and recording the learner's behavior frequency and reaction speed, and adjusting the learning activities based on this, a better learning effect can be obtained. The combination of sports intelligence learning and behaviorist learning theory forms a systematic and accurate teaching method. Video system feedback delayed learning is a part of multimedia education technology. In recent years, multimedia technology has been widely used in various educational fields. By reviewing the application research of multimedia teaching technology in education, we have determined the areas related to the delay of the video system feedback, and guided the application research of the video feedback system in education.

IMPLICATIONS OF BEHAVIORISTIC LEARNING THEORY IN PRIMARY SCHOOL LEVEL STUDENT LEARNING

According to behavioristic theory, learning is a change in behavior and overall student personality. At the elementary school level both SD / MI, one of the apparent learning successes is the change in student behavior. Elementary / MI students have several characteristics such as: (1) full of inquiry or curiosity, (2) spontaneously responding (paying attention) to various aspects of the world around them, (3) active in doing anything even though small things, and so on. Students at the elementary school level will be more motivated to learn by giving reinforcement (reinforcement) by the teacher in the form of rewards, rather than providing motivation in the form of motivational sentences. Behavioristic theory is seen as one learning theory that has positive implications in the learning process. This is because behavioristic theory emphasizes the existence of stimulus and response, thus making the role of the teacher here very vital. The teacher acts as the center of learning activities. Before the teacher carries out learning, the teacher makes a learning plan by taking into account indicators of learning success, identifying learning objectives, conducting learning analyzes and identifying student characteristics. Then in implementing learning, the teacher provides stimulus to students in the form of motivation, reinforcement, assignments and so on. After that the teacher gives feedback at the end of learning. In addition to having positive implications, this behavioristic theory also has weaknesses in its application in the learning process, because this theory emphasizes more on what can be seen, namely behavior and not paying attention to what is happening in the mind because it cannot be seen. Thus the behavioristic learning process is considered more as a mechanical and automatic process without discussing what happens in students while learning.

The application of artificial intelligence in internet security

The global integration of the internet has led to a significant increase in the importance of cybersecurity. Artificial Intelligence (AI) has emerged as a viable solution for enhancing cybersecurity measures. AI has the potential to improve the speed and effectiveness of detecting and responding to cyber threats. This study explores the intersection of network security and AI, with a focus on the various ways in which AI can be used to enhance network security, such as intrusion detection, malware detection, and behavioural analytics. The study also examines the potential risks associated with AI in cybersecurity, including the possibility of AI being utilized for cyber-attacks. Additionally, the study discusses the challenges associated with implementing AI for network security, such as the lack of available large datasets for AI training, network infrastructure complexity, and the requirement for skilled AI professionals in cybersecurity. Ethical considerations arising from the use of AI in network security are also addressed. The study emphasizes the need for a balanced approach towards integrating AI into cybersecurity measures, taking into account potential benefits and challenges.

Teachers’ Beliefs About Grading, Grades, and Student Classroom Conduct

In this mixed-methods study, inservice and preservice teachers (n = 173) responded to a survey about using grading practices to address student classroom conduct, and 73 reflected further in writing. Many supported some use of grades to manage students, and those in favor tended toward more traditional beliefs about teaching, oriented around concerns for classroom management. Most participants who wrote reflectively identified conduct-based grading as aligned with behaviorist learning theory and without regard for its impact on grade interpretation. Educational implications suggest re-examining whether grades should be understood solely as representations of academic achievement or of multiple dimensions of schooling.

Tanfîdz Dars Idhâfiy fî al-Lughah al-‘Arabiyyah min Mandzûr Nadzâriyah Sulûkiyyah

Darussalam Gontor Modern Islamic Institution is an educational institution that inculcates learning Arabic, one of which is supplementary language subject. Supplementary language subject was held for new or beginner female students, namely grades 1, 1 Intensive, and 2. This research chooses grade 1 because most of them experienced difficulties and disliked the language. Therefore, the research is interested in further studying the application of supplementary language subject according to Behavioristic Theory and the application of behavioristic theory in supplementary language subject at Darussalam Gontor Modern Islamic Institution for Girls First Campus. The purpose of this research is to describe the application of supplementary language subject for student of class 1 according to Behavioristic Theory and the application of Behavioristic Theory in supplementary language subject at Darussalam Gontor Modern Islamic Institution for Girls First Campus. The research method used is a qualitative approach that is descriptive in the form of a case study research method, with data collection techniques through observation, interviews and documentation. The results of this study indicate that in supplementary language subject activities an appropriate stimulus response is needed. The stimulus provided by the tutor includes giving examples, advice, and warnings, as well as giving gifts. Class 1 female students responded positively, namely there was a change in mindset to always speak by formal language every day and there was a change in behavior, namely mentioning, answering, asking, conveying, responding, and commenting.

Setting up SLAs using a dynamic pricing model and behavior analytics in business and marketing strategies in cloud computing

Increasing amounts of data are being generated every year. Sustainable computing systems have become capable of extracting and learning information from the underlying data. Edge and AI (artificial intelligence) are expanding into industrial systems requiring new computing and networking infrastructure. Due to this, SLA computing is becoming increasingly challenging to handle in these emerging cloud environments. The cloud is a service that provides virtual resources to users. Qualitative and quantitative findings in market-oriented approaches are one of the most common methods for managing virtual and physical machines in a network. When allocating services, price is an important factor to consider. In this study, we aim to determine the initial price of VMs while considering the dynamic pricing model in a competitive, sustainable computing system. Besides negotiation-based trading, a multifactor architecture is used for trading in the marketplace. Based on the simulation results, it was found that the performance could be improved by categorizing the VMs based on regression. According to the simulation results, the cloud market system provides a better service-level agreement (SLA) and response time when assigning virtual machines to the market. Based on the results, we found that using the regression method for categorizing the VMs to manage the market improved the SLA.

Utilizing Machine Learning and Big Data Analysis for Risk Mitigation and Fraud Detection in Finance

With the rise of online banking systems and easy transactions, there is an increase in fraud in the banking system and in the field of finance. To reduce fraud in the transactions we can apply the systems of machine learning algorithms and big data analysis. In this research paper, we discuss various methods used in the field such as Supervised learning, Unsupervised learning, and Ensemble Methods in the field of machine learning and transaction monitoring, behavior analytics, network analytics, and pattern recognition in the field of real-time monitoring. We have used a data set from Kaggle on credit card transactions and the methods of Random Forest Classification and Support Vector Machine which comes under the supervised learning method in machine learning and discussed other results and benefits achieved from it.

User-Centered Development and Pilot Test of a Virtual Reality Training Prototype for Parents of Children with Autism

Children with autism spectrum disorder (ASD) frequently engage in severe destructive behavior that presents significant risks to themselves and others, poses substantial barriers to community integration, and results in high familial and societal financial impact. Despite the efficacy of behavior analytic (BA) interventions for decreasing destructive behavior, to produce meaningful outcomes in the natural environment, treatment effects must transfer to parents. Parents often experience in-person training barriers, such as time, financial burden, transportation, and childcare, as well as concerns with the quality of training delivered, such as unrealistic and uncomfortable training with therapists. This paper presents preliminary results from a pilot test of a prototype of a virtual reality parent training tool intended to reduce access and quality barriers for parents with children with ASD who engage in severe destructive behavior.

Penerapan Model Problem Based Learning terhadap Aktivitas Belajar Peserta Didik pada Mata Pelajaran IPS

In teaching and learning activities at SMP N 1 Sungai Rumabai, teachers who teach social studies still use the lecture method, group discussions, and question and answer so that this method will make students feel less bored when the teacher explains the material being taught. Therefore this study aims to be able to analyze the application of the problem-based learning model to the learning activities of students in social studies class VIIb at SMP N 1 Sungai Rumbai. The theory used is behavioristic theory, from B.F. Skinner. This research method uses a quantitative approach with a descriptive type. Techniques for collecting data are observation and document study. Sampling used a porposive/sampling technique with a total sample of 29 students. The data for this study were obtained from daily tests in the form of 25 multiple choice questions. Data analysis uses percentage analysis, namely in a clasical manner. The results of the research on the application of the problem-based learning learning model to the learning activities of students in class VIIb as much as 2 teacher preparation meetings before implementing PBL (1) The teacher prepares the flow of learning objectives (2) The teacher determines the theme of each group in teaching and learning activities (KBM) For 2 meetings (3) The teacher divides students into each group in group discussions (4) The teacher prepares media that is used to support teaching and learning activities such as laptops, infocus, pictures, and blackboards. Application of the problem-based learning model at the first teacher meeting begins (KBM) by greeting, praying and checking student attendance, the main activities (1) determine the theme (2) divide students into groups (3) and present the results of group discussions after that draw conclusions. so from the results of the test tests used it can be concluded that there were 25 students (77%) the results of the learning activities of students in good or complete achievement of KKM, namely, 73 so that there was an effect of applying the problem-based learning model to student learning activities.

Implementasi Media Video dalam Meningkatkan Motivasi Belajar Pendidikan Pancasila dan Kewarganegaraan pada Peserta Didik Kelas XI IPS di SMA Negeri 1 Lunang

The background of this research is to improve the quality of student learning and student achievement in Pancasila and civic education lessons by using video media that can be used to channel messages so that it can stimulate thoughts, feelings, concerns, and interests, students' attention so that students' motivation in learning increases. This study aims to: 1) Describe the teacher's process in implementing video media in Civics learning. 2) Knowing the obstacles faced by teachers in implementing video media in Civics learning 3). Describes students' motivation in using video media in Civics learning. This study uses behavioristic theory, this theory examines human behavior. The type of research used is descriptive with a qualitative approach. The informants in this study were teachers of Pancasila and Citizenship Education at SMAN 1 Lunang, Deputy Curriculum at SMAN 1 Lunang and students from class XI Social Sciences at SMAN I at Lunang. Data collection techniques in this study are observation, interviews and documentation. Data analysis techniques include data reduction, data presentation, and drawing conclusions. The results of the research that has been done, found: 1) In implementing video media in Civics learning, the teacher first looks for learning videos on YouTube and then adjusts them to the lesson plans and modules, after that the teacher plays the videos in class according to the appropriate methods and procedures. So as to produce effective, efficient learning and increase student motivation. This is because the enthusiasm of students in learning increases. 2) Obstacles that are often experienced in using video media are teachers who have difficulty managing learning time with the duration of the video, with the duration of lesson hours. 3) The motivation of students in using video media in Civics learning is able to make students' attention focus on learning so that all questions given by the teacher are answered by students.

Machine learning approaches exploring the optimal number of driver profiles based on naturalistic driving data

Driver behavior analytics is an important concept that plays a significant role in the understanding of road crashes. This paper investigates the optimal number of driver profiles to understand the most important characteristics that differentiate drivers and extract useful insights on the value of using different clustering approaches in profile recognition. To this end, two Machine Learning clustering algorithms, the K-Means and OPTICS algorithms, are applied on driving data from a large naturalistic experiment using almost 18 K trips recorded from 130 drivers. The results revealed 3 profiles, the less risky drivers, the modest drivers and the more aggressive drivers. Clustering was based on 3 important driving behavior characteristics, namely the number of speeding, headway and harsh events per 100 km. The less risky drivers profile was revealed by both algorithms, whereas drivers of higher aggressiveness are distinguished by K-Means based on the driving feature that dominates the rest. The OPTICS algorithm showed that many drivers, especially the aggressive ones, present unique behavior that cannot be grouped together with other drivers. The interpretability of driver profiles resulting from the application of these unsupervised learning techniques is worsened as the number of clusters increases. The association between driver profiles and individual characteristics leads to the conclusion that aggressiveness is mainly driven by personality traits and less by specific characteristics such as gender, age or past accident history. The results of this study can be potentially used to develop profile-specific applications that provide feedback to drivers and reduce their crash risk.

Behaviorism category of individual Behavior profile

The purpose of this study is to describe behavioristic theory, which is a theory that prioritizes changes in individual behavior as a result of stimulus and response. In other words, learning that is done by each individual is a form of change experienced by students in terms of their abilities which aim to change behavior by way of interaction between stimulus and response. According to Watson, student behavior is the result of genetic inheritance and environmental influences, whereas according to Pavlov it refers to a number of training procedures between one stimulus and a stimulus appearing to replace another stimulus in developing a response. Finally, according to Skinner, the relationship between stimulus and response occurs through interaction with the environment. which then causes a change in behavior. Thus, behavioristic learning theory focuses more on developing individual behavior in a better direction

Proactive Phishing Threat Exposure Mitigation through Adaptive Vulnerability Management: Utilizing Threat Intelligence, User Behavior Analytics, and Predictive Analytics

Proactive Phishing Threat Exposure Mitigation through Adaptive Vulnerability Management: Utilizing Threat Intelligence, User Behavior Analytics, and Predictive Analytics

Time-Series Clustering for Determining Behavioral-Based Brand Loyalty of Users Across Social Media

In recent years social media data analytics allow enterprises to adopt a data driven approach to manage their processes. Although social media provide a plethora of data, still much work needs to be done to transform these data into services that businesses can use and make insightful decisions. In this work, we address one of the most important problems in business, the relationship with the customers and more precisely the identification of loyal customers. We use behavioral analytics to model and process customer actions. We extract user behavior based on our unified crawling approach and collect data from three different social media namely Reddit, Twitter and YouTube. We are extracting for each user three different behaviors namely communication, sentiment and product mix and convert them into a 3-D time-series. We use shapelet clustering to determine the loyal users. To verify our approach, we develop a set of metrics based on trust, commitment and engagement and we show that our approach results in differentiating the loyal users successfully. Moreover, we validate our results presenting a word cloud visualization. We extend our methodology introducing a semantic data transformation algorithm where we use the topic extraction, reducing the time-series to a more relevant one. Our experiments show that based on the verification metrics, our transformation increases the accuracy of the clustering results.

The effect of the application of Albert Bandura’s behaviorism theory on the motivation and learning outcomes

A teacher must be able to understand the theory of learning and learning in order to understand, motivate, and influence the motivation and learning outcomes of his students; behavioristic learning theory is one developed by Albert Bandura. This article aims to find out how the implementation of the Behaviorism theory approach from Albert Bandura affects student motivation and learning outcomes. Sampling in quantitative research using the Quasi-Experimental method using pretest, posttest, and control groups. The research design was tried using the saturated sampling method. The initial sample consisted of all VB class students, with a total of 25 students as a control class, and the second illustration consisted of all VA class students, with a total of 28 students as an experimental class. The results of the analysis show that the implementation of Albert Bandura's behaviorism theory approach using the experimental class MANOVA test gives significant results namely 0.011 is smaller than 0.05, so H0 is rejected and H1 is accepted. Based on this, there is an influence on the application of Albert Bandura's theoretical approach to student motivation and learning outcomes

Kajian Teori Behavioristik pada Media Pembelajaran Flipbook

In this study the aim was to examine a behavioristic theory on flipbook learning media. The data collection technique used is a library research method by collecting primary and secondary data. Primary data here uses the theory of several behaviorists and secondary data in the form of scientific articles and books from various sources. From several studies and literature that have been processed by researchers, it can be concluded that another impact of behavioristic theory includes the birth of mastery learning formulas, which emphasize thorough learning. Complete learning has implications for the development of learning media, good learning media is one that can provide completeness in learning, meaning how learning is conditioned in such a way from the beginning to the end of learning, with clear and structured stages and steps, therefore in development the media needs to have a flowchart as an illustration in the development of learning media. The use of flowcharts is part of the influence of behaviorism learning theory. Another form of influence from the theory of behaviorism is programmed learning and individual teaching. Learning media is a highly programmed and individual form of learning. That's why learning design is very important as part of learning conditioning efforts. Likewise the presentation of material, giving summaries, questions and feedback are also part of the effort to provide stimulus, condition, know the response in learning.

Using artificial intelligence-enhanced video feedback for reflective practice in coach development: benefits and potential drawbacks

ABSTRACT Sports coaching has used video feedback for decades to improve athlete and coach performance. More recently, artificial intelligence (AI) and machine-learning technologies have enabled analytics alongside visual review to accelerate development further. So too in coaching conversations, software allows the implementation of behavioural analytics, tracking speech patterns, body language and facial expressions to deliver performance data measured against core coaching competencies. In this study, we interviewed 15 coaches who used AI-enhanced video review software in coaching sessions with clients over several weeks and reflected on those sessions using the recordings and AI-generated data. Our aim was to discover the benefits and drawbacks of using such an approach in reflective practice. Clear benefits emerged: insights gained from video and data analysis drove deeper reflection and heightened self-awareness; coaches focused on skills development, made specific changes to their practice, developed over time and gained in confidence. Challenges included coaches’ nervousness around using new technology, viewing and analysing their own performance, and a sense that the software does not understand the subtle nuances and context of conversations. Limitations are discussed as well as the implications for coach training, reflective practice and supervision. We suggest possibilities for further study in this area.

Efektivitas Implementasi Teori Behaviorisme dalam Proses Pembelajaran

This article discusses the application of behaviorism learning theory and its advantages and disadvantages. The method used in writing this article is a literature review system. In behaviorism learning theory there are basic concepts in learning, namely the interaction between stimuli and responses. The application of behaviorism learning theory will enable teachers to be more sensitive to learning situations and circumstances. Besides that, behaviorism learning theory is suitable for young children who still need adult supervision. However, behaviorism learning theory is often criticized because this learning theory cannot explain complex learning situations