Optimal Learning Outcomes Research Articles

The role of learning activities and social presence in synchronous hybrid classrooms: results from a natural experiment

ABSTRACT The synchronous hybrid classroom (SHC) combines on-site and remote learners simultaneously. This study aims to investigate how participation mode (on-site vs. remote) affects students’ perceived learning in a SHC, examining social presence as a mediator. A second aim explores how different learning activity types along the ICAP framework influence students’ perceived learning across both groups, again considering social presence as a potential mediator. A natural experiment was conducted with 241 vocational secondary school students regularly participating in a SHC, either on-site (n = 136) or remotely (n = 105). Results showed that participation mode influenced students’ perceived learning indirectly through social presence. Remote participants perceived their social presence as lower and learning less effective than on-site participants. Interactive learning activities were most frequently used in this SHC implementation. The mediating effect of social presence was particularly strong for active/interactive activities on-site and passive/interactive ones remotely. This study contributes to theory by unravelling the complex interplay of the pedagogical design of a SHC and students’ learning experiences, highlighting the critical role of fostering social presence to optimise learning outcomes in SHC. Furthermore, it underscores the practical necessity for robust technological infrastructure and professional development support for teachers to enhance the efficacy of SHC settings.

Relationships between self-efficacy and learning approaches as perceived by computer science students

Optimizing learning outcomes in university students necessitates an understanding of the processes that drive high-quality learning outcomes. This study investigates the motivational factors and learning methodologies perceived by computer science students during an introductory course. A cross-sectional study was conducted with 171 computer science students asked to complete a psychometric instrument (“Study Skills Inventory for Students”) during the first year of their university studies. Two major theoretical frameworks in educational psychology, namely students’ self-efficacy and learning approaches were tested relative to a factor structure obtained from learning situations. The findings supported self-efficacy and three learning approaches among computer science students. Models for deep, surface, and strategic learning approaches suggest that students with higher self-efficacy tend to adopt a deeper approach to learning. Conversely, students with lower self-efficacy were more inclined toward surface learning methods. Furthermore, a link was identified between strategic learning approaches and students’ experiences within their learning environments. The results substantiate earlier research and align with learning approach theories. The findings indicated that, in higher education settings, focus should be directed toward understanding the motivational factors influencing students and their learning approaches for educational outcomes.

Enhancing legal writing skills: The impact of formative feedback in a hybrid intelligence learning environment

AbstractRecent developments in artificial intelligence (AI) have significantly influenced educational technologies, reshaping the teaching and learning landscape. However, the notion of fully automating the teaching process remains contentious. This paper explores the concept of hybrid intelligence (HI), which emphasizes the synergistic collaboration between AI and humans to optimize learning outcomes. Despite the potential of AI‐enhanced learning systems, their application in a human‐AI collaboration system often fails to meet anticipated standards, and there needs to be more empirical evidence showcasing their effectiveness. To address this gap, this study investigates whether formative feedback in an HI learning environment helps law students learn from their errors and write more structured and persuasive legal texts. We conducted a field experiment in a law course to analyse the impact of formative feedback on the exam results of 43 law students, as well as on the writer (students), the writing product and the writing process. In the control group, students received feedback conforming to the legal common practice, where they solved legal problems and subsequently received general feedback from a lecturer based on a sample solution. Students in the treatment group were provided with formative feedback that specifically targeted their individual errors, thereby stimulating internal cognitive processes within the students. Our investigation revealed that participants who were provided with formative feedback rooted in their errors within structured and persuasive legal writing outperformed the control group in producing qualitative, better legal text during an exam. Furthermore, the analysed qualitative student statements also suggest that formative feedback promotes students' self‐efficacy and self‐regulated learning. Our findings indicate that integrating formative feedback rooted in individual errors enhances students' legal writing skills. This underscores the hybrid nature of AI, empowering students to identify their errors and improve in a more self‐regulated manner. Practitioner notesWhat is already known about this topic Collaboration between humans and AI in educational settings advances learning mutually, fostering a unified developmental process. Collaborative education models advocate leveraging human and AI strengths for adaptive learning. Despite abundant theoretical research, empirical studies in HI remain limited. This gap underscores the need for more evidence‐based approaches in integrating AI into educational settings. What this paper adds Field experiment investigating the impact of formative feedback in a hybrid intelligence learning environment based on the theory of learning from errors. Comparison of a traditional legal learning environment (lecturer teaching using sample solutions) versus formative feedback in a hybrid intelligence learning environment. Implementing formative machine learning‐based feedback supports law students in producing more structured and persuasive legal texts, leading to enhanced exam performance and higher grades. Implications for practice and/or policy Our research contributes significantly to computer‐based education by presenting empirical evidence of how formative writing feedback impacts students' legal knowledge and skills in educational settings. This underscores the importance of incorporating empirical data into the development of AI‐based educational tools to ensure their effectiveness. By focusing on individual errors corrected by formative feedback, we contribute to the learning from errors literature stream. This perspective offers valuable insights into how such feedback can support students' writing and learning processes, filling a gap in empirical evidence. Our findings demonstrate the potential impact of ML‐based learning systems, particularly in large‐scale learning environments like legal mass lectures. Formative writing feedback emerges as a scalable and beneficial addition to traditional learning environments, triggering internal learning processes, fostering self‐regulated learning and increasing self‐efficacy among students. By demonstrating the effectiveness of formative feedback within the framework of HI, particularly in legal education, our research underscores the potential of combining human understanding with AI‐supported feedback to enhance learning outcomes.

<b>Insights From the Frontlines: Students' Perceptions of Teaching Methods in a Nigerian Medical School </b>

Background The teaching skills of the teachers impact the learning outcomes, and it is expected that learning can be enhanced through appropriate instructional strategies that will optimally help the students. An understanding of student’s perception of the available teaching methods will provide insight into what the challenges are, and how this information can be used to further optimize learning outcomes. Methods A qualitative phenomenology study using focus group discussions among 41 clinical medical students in a developing Nigerian medical school. An inductive thematic analysis was performed on the transcribed recorded data from the group discussions. Results Six themes emerged: participation, clarity and applicability, encouragement and feedback, teaching aids, students-teachers relationship, and learning environment. Students preferred problem-based learning and small group teaching, perceiving didactic lectures as lengthy and boring. They emphasized the need for teachers to use real-world examples, provide feedback, and adopt student-centered approaches. The majority of students preferred visual learning aids but noted inadequate infrastructure and resources for their preferences. Conclusions This study highlights the importance of student-centered teaching methods, incorporating visual aids and problem-based learning, to enhance engagement and retention. Teachers should adapt their instructional strategies to cater to diverse learning styles and promote interactive learning. The study suggests retraining clinical teachers to adopt student-centered approaches and utilize available resources effectively. By prioritizing student feedback and adopting inclusive teaching methods, medical educators can optimize learning outcomes and prepare students for the demands of healthcare practice. Keywords: medical, students, perceptions, teaching, methods.

Massive Open Online Courses (MOOCs) as Catalysts of Educational Transformation in the Higher Education Sector of Sri Lanka: A Systematic Literature Review

This systematic literature review evaluates the transformative effects of Massive Open Online Courses (MOOCs) in Sri Lanka’s higher education and library services. It explores how MOOCs democratize education by broadening access to previously costly and limited educational infrastructure and integrating them into library practices for enhanced access and professional development. The review synthesizes various sources to assess MOOC utilization, challenges like low completion rates, inconsistent quality, and digital divides. Strategic improvements are proposed to align MOOCs with educational and socio-economic goals in Sri Lanka. The findings highlight MOOCs’ current uses, barriers, and potential as supplements to traditional education, aiming to optimize learning outcomes and support educational transformation in both academic and library environments.

Implementasi Media Pembelajaran Berbasis Teknologi terhadap Motivasi Belajar

The learning process involves interaction between teachers and students to achieve effective and efficient educational goals. Learning media plays an important role in improving students' understanding and attracting their interest and attention to the material being taught. In today's digital era, the development of information and communication technology has made it possible to use various types of learning media, such as videos, animations, and interactive applications, which makes the learning process more interesting and enjoyable. This study aims to analyze internal and external factors that affect the effectiveness of the use of technology-based learning media on student learning motivation. The method used in this study is qualitative with a descriptive approach, involving students of the Indonesian Language and Literature Education study program. The results of the study show that the use of interactive learning media, especially videos, is very effective in improving students' understanding of concepts and stimulating their active involvement in the learning process. The availability of media that suits the needs of students and learning goals is essential to create a fun and productive learning atmosphere. The selection of the right learning media, based on student needs and learning objectives, can significantly improve the quality of education. The use of technology in education, especially technology-based media, provides opportunities to create a better learning experience, encourage student motivation, and achieve more optimal learning outcomes.

Using ChatGPT in Teaching Computer Programming and Studying its Impact on Students Performance

Given the recent emergence of artificial intelligence as an important topic that can contribute to improve curricula and lecture delivery, an increasing number of scholars are investigating its impact in various educational fields. The ChatGPT, which is an artificial intelligence model developed by OpenAI, represents a significant advancement in the generative artificial intelligence area. Since its announcement, integrating the ChatGPT into computer programming curricula - and into other scientific curricula - has yielded some challenges. The main challenge is clearly evident in the conduct of in-class tests and in-lab assignments, where the students are given specific tasks to be accomplished within a certain time frame. As they might seek help from ChatGPT, these types of assessments could be considered a potential threat to academic integrity and may be viewed as a form of academic dishonesty. This study aims at integrating ChatGPT into computer programming curricula, exploring its potential to enhance undergraduate education. It follows a mixed methods approach to examine the potential integration of ChatGPT in teaching computer programming as a supplementary tool. A quasi-experimental design is followed, in which an experimental group is allowed to use ChatGPT and compared to a control group that was not. A research sample of 26 undergraduate students (13 males, 13 females) from the College of Education at Sultan Qaboos University participated in the study. The methodology encompassed three research instruments: in-class exams, in-lab assignments, and semi-structured interviews. These research instruments were utilized to assess the impact of ChatGPT on students' academic performance, which served as both independent (use of ChatGPT) and dependent (student performance) variables. The quantitative analysis revealed a significant enhancement in students' performance, while the qualitative analysis of semi-structured interviews indicated that participants view ChatGPT as a valuable support for learning. Feedback from participants suggested combining ChatGPT with traditional teaching methods to optimize learning outcomes. This study highlights the feasibility and educational benefits of incorporating AI tools like ChatGPT into teaching methodologies. It suggests that such integration can provide a more engaging and effective learning environment, potentially revolutionizing computer programming education. This paper supports e-learning practice by integrating AI-driven tools like ChatGPT into the educational framework and advances the e-learning area by demonstrating these technologies' potential to improve student academic performance in the learning environments. However, the study also acknowledges the need for further research to explore the long-term effects of AI integration in educational settings and to address any emerging challenges. These findings propose a promising direction for future curricular enhancements and suggest an effective method for the integration of AI technologies to support and enrich traditional educational frameworks.

Meningkatkan Hasil Belajar Siswa Melalui Problem Based Learning pada Materi Perempuan dan Laki-Laki Diciptakan Sebagai Citra Allah Kelas V SD Negeri 3 Nainggolan

The purpose of this study was to improve student learning outcomes through Problem Based Learning on the material Women and men are created as the image of God in class V of SD Negeri 3 Nainggolan. This study involved 12 students as participants in two cycles of action using the Problem Based Learning (PBL) method. This classroom action research uses a spiral approach, which consists of four steps of repeated unity, namely planning, acting, observing, and reflecting. Data were analyzed using quantitative descriptions. The results of the study indicate that the application of the problem based learning method has a positive impact on improving learning outcomes and the activeness of students in learning Catholic religious education and character education. The Problem Based Learning Learning Model has been proven effective in creating an interesting, active learning environment and providing more optimal learning outcomes. This study provides an important contribution in developing more effective learning strategies and can be a reference for teachers and researchers in improving student learning outcomes.

Meningkatkan Hasil Belajar Siswa Kelas IV menggunakan Metode Problem Based Learning dengan Media Video di UPT SDN Negeri 003 Pasaribu

The background of this study is the lack of optimal student learning outcomes at SDN 003 Pasaribu. There are these problems, so efforts are made to improve learning so that student learning outcomes can be improved through classroom action research. This Classroom Action Research (PTK) aims to improve the learning outcomes of grade IV students of SD Negeri 003 Pasaribu through the application of the Problem Based Learning model with the help of videos. The data collection technique uses a learning outcome test (post-test) and an attitude observation sheet according to the dimensions of the Pancasila Student Profile; namely Faith, Fear of God Almighty, and Noble Character, Global Diversity, Mutual Cooperation, Independence, Critical Reasoning, Creative. The results show that the application of the PBL model can improve student learning outcomes as shown through the comparison of post-test scores in cycles I and II. Thus, the PBL model has proven to be effective in improving the learning outcomes of grade IV students of SD Negeri 003 Pasaribu.

Leveraging AI to Transform Online Higher Education: Focusing on Personalized Learning, Assessment, and Student Engagement

The proliferation of online higher education has underscored the need for innovative approaches to enhance student learning, engagement, and success. This paper explores the transformative potential of artificial intelligence (AI) in revolutionizing online education. By focusing on personalized learning, AI-driven assessment, and student engagement, this research investigates how AI technologies can create tailored educational experiences, optimize learning outcomes, and foster a dynamic online learning environment. The study delves into the implementation of AI-powered tools, such as intelligent tutoring systems, adaptive learning platforms, and predictive analytics, to address individual student needs, provide timely feedback, and promote active participation. Through a comprehensive analysis of the existing literature and emerging trends, this paper aims to identify key challenges, opportunities, and best practices for leveraging AI to optimize online higher education, ultimately contributing to improved student satisfaction, retention, and academic achievement.

Drone E-Job Sheet Development: Geospatial Engineering Remote Sensing Subject

This research aims to produce an E-Job Sheet Drone Product for the Class XI Geospatial Engineering Remote Sensing Subject by carrying out feasibility tests, practicality tests, and product effectiveness tests. The research and development methodology uses the 4D development model (four-D models), namely definition, design, development, and dissemination, so that the development design is developed. This research was carried out at SMK Negeri 1 Percut Sei Tuan in class XI Geomatics Engineering in the Remote Sensing (Inderaja) subject. The research results show: (1) E-Jobsheet Drone, suitable for use in remote sensing learning for class XI at SMK Negeri 1 Percut Sei Tuan; (2) Drone E-Jobsheets have proven effective in improving student learning outcomes for class XI at SMK Negeri 1 Percut Sei Tuan compared to conventional learning methods. The application of learning media in the form of E-Jobsheet Drones requires students who are ready to learn independently so that they can achieve optimal learning outcomes by utilizing this media effectively

A Machine Learning Approach to Optimal Group Formation Based on Previous Academic Performance

In today’s educational institutions, student performance can vary widely due to differences in cognition, motivation, and environmental factors. These variations create challenges in achieving optimal learning outcomes. To address these challenges, Optimal Group Formation (OGF) has emerged as a promising research area. Optimal Group Formation (OGF) aims to form student groups that maximize learning efficiency based on past academic performance. Group formation problems are inherently complex and time-consuming, but their applications are extensive, spanning from manufacturing systems to educational contexts. This paper introduces a machine learning-based model designed to create optimal student groups using academic records as the primary input. The goal is to enhance overall group performance and reduce error rates by organizing students into cohesive, efficient teams. What sets this research apart is its focus on educational group formation, leveraging machine learning to improve collaborative learning outcomes. The paper also reviews prior research, emphasizing the importance of Optimal Group Formation (OGF) in various fields and its relevance in education. The model’s effectiveness is demonstrated through comparative analysis, showcasing its potential to improve group dynamics in both theoretical and lab-based courses. Ultimately, the aim is to improve educational outcomes by ensuring that student groups are optimally balanced and structured.

FORMATION OF COGNITIVE ACTIVITY OF STUDENTS IN THE PROCESS OF STUDYING CHEMISTRY

he socio-economic transformations in society have reshaped the educational landscape, positioning students as active agents in the learning process. This shift calls for the enhancement of cognitive activity in the educational framework, particularly in subjects like chemistry. This article explores the formation of cognitive activity among students in the context of chemistry education, with an emphasis on developing methods that encourage the transition from empirical to abstract-theoretical levels of understanding. The study aims to organize a comprehensive cognitive activity system that integrates the assimilation of chemical knowledge, cognitive teaching methods, and the development of chemical thinking. The study aims to organize and develop a comprehensive cognitive activity system in students during chemistry lessons, focusing on assimilating subject content, mastering cognitive teaching methods, and developing chemical thinking. The research adopts a systematic approach to managing cognitive activity in chemistry education. It applies a methodology that integrates empirical and theoretical levels of knowledge, facilitating a transition from reproductive to heuristic and research-based learning. The study also focuses on creating tools and methods that help students acquire a comprehensive understanding of chemistry content and develop their thinking processes. The research emphasizes the importance of cognitive operations such as analysis, synthesis, and generalization, fostering students' abilities to solve complex tasks through reproductive, heuristic, and research-based learning approaches. A theoretical model of full-fledged cognitive activity is proposed, incorporating systematic, structural, psychological, and pedagogical principles to optimize learning outcomes. The results demonstrate that effective organization of cognitive activity enhances students' mastery of chemistry, improves reasoning skills, and fosters a style of chemical thinking, ultimately contributing to higher learning achievement.

Inovasi Pembelajaran Mufradat dengan Video dan Subtitle Bahasa Arab di PP. Hasan Munjahid Grobogan

This research demonstrates the implementation of innovative learning through the utilization of Arabic-language videos and subtitles adopted by Pondok Pesantren Hasan Munjahid Grobogan. The study aims to provide insights into how the combination of videos and subtitles enriches students' learning experiences, particularly in mufradat learning. A qualitative approach was employed, utilizing classroom action observation, interviews, and documentation for data collection. The gathered data will be qualitatively analyzed. Results indicate that the innovative use of Arabic-language videos and subtitles in Pondok Pesantren Hasan Munjahid effectively facilitates mufradat understanding and alleviates students' boredom. Positive responses are reflected in increased interest and motivation, impacting task performance during video sessions. While the approach has merits, identified shortcomings include some students struggling to grasp content. Therefore, recommendations include Arabic reading and writing training, additional materials provision, and individual guidance to optimize learning outcomes.

Application of Virtual Reality (VR) in Health, Safety and Environment Subject for Fire Exit Training Module

The significance and extraordinary effectiveness of using VR technology into health, safety, and environment (HSE) education are highlighted. It addresses the many benefits that VR has to offer, especially when it comes to fire exit training, by giving students engaging, involving, and profound learning experiences. The research highlights the seamless incorporation of VR into Health, Safety and Environment (HSE) courses, where VR simulations serve as important tools for teaching crucial evacuation tactics and encouraging students' in-depth understanding and preparedness for actual fire emergencies. This study investigates students' responses regarding their understanding in one of the HSE subject following the implementation of VR technology. Valuable student feedback has been gathered through comprehensive surveys, enabling a continuous process of improvement and refinement for the HSE program. Overall, this research stands as a compelling testament to the profound impact of VR in optimizing learning outcomes and fostering a heightened sense of safety awareness in professional environments.

Exploring Engagement and Perceived Learning Outcomes in an Immersive Flipped Learning Context

The flipped classroom model has been widely acknowledged as a practical pedagogical approach to enhancing student engagement and learning. However, it faces challenges such as improving student interaction with learning content and peers, particularly in Japanese universities where digital technologies are not always fully utilized. To address these challenges and identify potential solutions, a case study was conducted in which an online flipped course on academic skills was developed and implemented in an immersive virtual environment. The primary objective during this initial phase was not to establish a causal relationship between the use of immersive flipped learning and students' engagement and perceived learning outcomes. Instead, this initiative aimed to explore the benefits and challenges of the immersive flipped learning approach in relation to students' online engagement and their perceived learning outcomes. Following a mixed-methods research approach, quantitative and qualitative data were collected through a survey (N=50) and students' reflective reports (N=80). The study revealed high levels of student engagement and perceived learning outcomes, although it also identified areas needing improvement, particularly in supporting student interactions in the target language. Despite the exploratory nature of this study, the findings suggest that a well-designed flipped learning approach, set in an engaging immersive environment, can significantly enhance student engagement, thereby supporting the learning process. When creating an immersive flipped learning course, educators should incorporate best practices from the literature on both flipped learning and immersive learning design to ensure optimal learning outcomes. The findings of this study can serve as a valuable resource for educators seeking to design engaging and effective remote learning experiences. Further research is needed to explore the scalability and sustainability of the immersive flipped learning approach and its impact on different student populations and in other delivery formats. Received Date: May 4, 2024Revised Date: August 17, 2024Accepted Date: September 7, 2024

Improving Science Literacy in Elementary Schools Through the Application of the RADEC Model

This study evaluates the RADEC (Read, Answer, Discuss, Explain, and Create) learning method's impact on enhancing students' science literacy skills. By analyzing changes in question difficulty levels from pretest to posttest, the research assesses how effective RADEC is in improving students' comprehension of science concepts. The methodology involves administering questions before and after RADEC implementation, with statistical analysis revealing significant variations in question difficulty. Some questions became more challenging post-RADEC, indicating deeper understanding, while others remained stable or became easier, possibly due to improved familiarity or consistent teaching quality. Overall, RADEC promotes active engagement, sustains interest, and enhances understanding of science topics. The study underscores RADEC's efficacy in boosting science literacy, recommending its adoption in educational settings for optimal learning outcomes. It also highlights the need for appropriate evaluation tools in assessing students' responses to science education, offering valuable insights into effective teaching methodologies

Emotional schemas in relation to educators’ social and emotional competencies to promote student SEL

A rapidly growing body of research is examining the social and emotional competencies (SEC) educators need to effectively fulfill their professional roles (see Lozano-Peña et al., 2021 for a recent review). The prosocial classroom model highlights the importance of educators' SECs as they relate to their capacity to maintain well-being by successfully coping with the challenges of emotion-laden social interactions in the classroom, building positive relationships with students, managing classrooms effectively, and providing proficient social-emotional learning (SEL) instruction (see Figure 1; Jennings & Greenberg, 2009). These elements foster a classroom environment that supports social-emotional growth and optimal student learning outcomes. Since the publication of the Jennings and Greenberg (2009) article, research has been expanding to identify specific SECs and how they relate to educators' well-being and job performance. In this paper, we situate the construct of emotional schemas as one construct related to educators’ SEC and relevant to understanding classrooms as developmental contexts for educators and students.

Indonesian Students' Mental Health in Taiwan: A Comparison of School-Age Students' and Indonesian Migrant Workers' Mental Health

Spirituality and empathy significantly impact many Indonesian migrant laborers in Taiwan are experiencing mental health issues, highlighting the importance of focusing on this aspect. Non-formal education provides both migrant workers and Indonesian children in Taiwan with suitable educational opportunities. Indonesian students studying in Taiwan: their mental health is analyzed and compared in this research. The study differentiates between students of school age and adult migrant workers studying in Taiwan. Utilizing a case study approach, the research involved seven student participants. The findings indicate that school-age students exhibit good mental health. Conversely, Indonesian migrant workers who are students face numerous challenges in non-formal education. They experience higher levels of stress, struggle to adhere to the learning schedule, frequently miss classes, and consequently, do not achieve optimal learning outcomes. The study also identified some students with autism who receive a specialized curriculum to ensure equal educational opportunities (Selvaprabu et al., 2024). These autistic students appear more disciplined and achieve their learning objectives, although at a slower pace. The research suggests implementing counseling strategies to motivate Indonesian migrant workers to pursue education and achieve equal learning opportunities. Additionally, there is a need for Taiwanese students to have access to their autonomous curriculum

The Effect Of Adaptive Learning Experience (Adlx) On Mathematics Learning Outcomes Of High School Students In Grade Xi Based On Learning Motivation

This study aims to analyze the effect of the use of ADLX (Adaptive Learning Experience) on the mathematics learning outcomes of grade XI high school students by considering learning motivation. Using a quasi-experimental method with a non-equivalent control group design, this study involved several 11th grade high school students in X City who were divided into two groups: an experimental group using ADLX and a control group using conventional methods. The research instruments include mathematics learning outcome tests and learning motivation questionnaires validated by experts. The data were analyzed using the variance analysis technique (ANOVA) to test the hypothesis. The results showed significant differences in mathematics learning outcomes between the experimental and control groups, with the experimental group using ADLX showing better results. The data analysis also revealed that learning motivation interacted significantly with ADLX use, suggesting students with high learning motivation benefited more from ADLX use than students with low learning motivation. In general, students report that their learning motivation is influenced by the material's relevance to their daily lives and interactive and engaging teaching approaches. The use of ADLX, which involves hands-on experience and real-life examples, is considered effective in increasing understanding and motivation for learning math. This shows that the contextual learning approach is to improve students' understanding of mathematics. The conclusion of this study is that the use of ADLX can improve the mathematics learning outcomes of high school students in grade XI, especially for students with high learning motivation. These findings emphasize the importance of integrating adaptive technology in learning and the need for strategies to increase student learning motivation to achieve optimal learning outcomes.