Interest In Learning Research Articles

Studi Literatur: Pengaruh Lingkungan Sekolah Terhadap Minat Belajar Peserta Didik Mata Pelajaran Biologi

Education fosters students' curiosity and enthusiasm for learning. As a psychological aspect, interest in learning plays an important role by evoking a sense of enjoyment and comfort in learning without external pressure. This study focuses on the influence of school environment conditions on students' interest in learning, including factors such as physical facilities, classroom atmosphere, teacher-student interaction, and parental support. The research method used was a literature review, involving a collection of relevant studies from PubMed and Google Scholar published between 2021 and 2023, using the keywords "learning interest" and "school environment".These findings reveal that the school environment significantly contributes to increasing interest in learning. Adequate facilities, a supportive classroom atmosphere, and positive teacher-student relationships effectively encourage greater interest in learning.

PERANCANGAN SISTEM PEMBELAJARAN MATEMATIKA PADA ANAK SEKOLAH BERBASIS GAMIFIKASI MOBILE DENGAN METODE ADBO

The COVID-19 pandemic has had a major impact on education, forcing learning to switch to an online system to prevent the spread of the virus. However, problems still persist, especially in elementary school mathematics education, students tend to think mathematics is difficult and not very interesting. This is due to the ineffective classroom learning approach, so that many students lose interest in learning mathematics. Therefore, innovative solutions are needed that can increase students' interest and understanding of mathematics learning, such as a gamification approach for students who prefer to play. The purpose of this study is to develop a mobile application that combines a gamification approach as a mathematics learning material for elementary school students. The system concept in this mobile application is that students can work on practice questions and see learning outcomes, choose an avatar on the edit profile, and access the discussion forum available in the application. This application is designed to create an interactive, fun and effective learning experience using the ADBO (Analyze, Design, Build, Operate) method which is systematic and directed to ensure that each stage of the process provides optimal results and according to user needs with the hope of overcoming complex problems faced by students. Through the modeling used in the preparation of this application, it is hoped that it will be in accordance with its purpose, namely to provide convenience to elementary school students, from grade 1 to grade 6, to become better at learning.

Benchmarking Methods for Pointwise Reliability

The growing interest in machine learning in a critical domain like healthcare emphasizes the need for reliable predictions, as decisions based on these outputs can have significant consequences. This study benchmarks methods for assessing pointwise reliability, focusing on data-driven techniques based on the density principle and the local fit principle. These methods evaluate the reliability of individual predictions by analyzing their similarity to training data and evaluating the performance of the model in local regions. Aiming to establish a standardized comparison, the study introduces a benchmark framework that combines error rate evaluations across reliability intervals with t-distributed Stochastic Neighbor Embedding visualizations to further validate the results. The results demonstrate that methods combining density and local fit principles generally outperform those relying on a single principle, achieving lower error rates for high-reliability predictions. Furthermore, the study identifies challenges such as the adjustment of method parameters and clustering limitations and provides insight into their impact on reliability assessments.

MENGUAK DAMPAK TIKTOK TERHADAP MINAT BELAJAR SISWA MADRASAH IBTIDAIYYAH DAN UPAYA MENARIK GENERASI DIGITAL TERHADAP MINAT BELAJAR

Using TikTok can influence changes in children's behavior, both moral and social behavior around them. Therefore, it is very important for teachers and parents to carry out careful, ongoing supervision and limit children's use of TikTok. Based on research results from several researchers, it is known that TikTok has a significant influence on students' interest in learning, giving rise to concerns among teachers regarding its impact on learning outcomes. The findings of this research indicate the need to change the learning system or process to make it more innovative, with the aim of increasing students' interest in learning.

Advance Care Planning and Unlimited Treatment Preferences in Dementia Scenarios: Insights From Community-Dwelling Adults.

Introduction: Dementia leads to progressive cognitive decline, impairing self-care and decision making. Advance directives (AdvDirs) enable individuals to document healthcare preferences while cognitively capable, ensuring value-aligned care and reducing caregiver burden. This study explores factors influencing preferences for unlimited medical treatment in hypothetical Alzheimer's disease/dementia scenarios among community-dwelling adults. Methods: This cross-sectional study surveyed 163 community-dwelling adults (18+), using structured questionnaires to collect sociodemographic, health, and AdvDir-related data. Key predictors included attitudes toward life-sustaining treatments, comfort discussing death, religious practices, and interest in quality-of-life information related to end-of-life care. The primary outcome was preference for unlimited medical treatment in hypothetical dementia scenarios. Bivariate and multivariate logistic analyses assessed associations, adjusting for covariates. Results: In the dementia scenario, 26.9% of participants preferred unlimited medical treatment. This preference was strongly associated with a pre-existing attitude favoring life-sustaining treatments (OR = 4.24, 95% CI: 1.73 - 10.37, P = 0.002) and religious beliefs (OR = 5.68, 95% CI: 1.51-21.43, P = 0.01). Conversely, an interest in learning about quality of life at the end of life was negatively associated with preferring unlimited treatment (OR = 0.29, 95% CI: 0.09-0.89, P = 0.03). Discussion: Our findings highlight the need to align advance care planning with individuals' values, beliefs, and religious practices. Raising awareness of quality-of-life considerations in end-of-life care may lead to a shift in preference toward palliative care rather than aggressive treatment. Healthcare providers should discuss treatment trade-offs with cultural and religious sensitivity to support informed decision making.

Inovasi Pengolahan Singkong dalam Meningkatkan Perekonomian di Desa Rebalas

The development of technology and information is currently still not fully understood by the public, especially among the people of Rebalas Village. This shown by the lack of innovation residents of Rebalas Village regarding cassava food products which are abundant in their area. Cassava food products are generally only processed into monotonous products such as tape, jemblem, samiler and gethuk. So the people of Rebalas Village feel bored with the monotonous processing of cassava. However, when it’s processed into a variant of processed cassava properly, it will have a positive impact on becoming a product that is high quality, competitive and has economic value. The KKN work program that was initiated aims to increase the knowledge and understanding of the Rebalas Village community so that they have a high awareness of caring for the use of cassava. The implementation method is by (1) empowerment with processed cassava innovation activities, (2) counseling on the management of cassava into rainbowcakes and mockies (mocaf cookies), (3) training on making rainbowcake and mockies products, (4) counselling effective marketing methods to the village community Reply. This activity involved the Pendoso community, assisted by PKK women and KKN students. The results of this activity show an increase in the community's knowledge and interest in learning about utilizing cassava to make rainbowcakes and mockies which have high economic value and can help improve the economy of residents Rebalas Village.

The use of metaverse in medical education: A systematic review.

This study aims to systematically evaluate the influence of metaverse-based teaching tools on the medical teaching effect and the improvement of students' ability, providing evidence-based support for curriculum development. A comprehensive search of PubMed, Cochrane, Embase, and Web of Science databases was conducted up to March 9, 2025. Two researchers independently screened articles, extracted data, and assessed bias using the Cochrane Handbook 5.1.0 checklist. Data analysis was performed using RevMan 5.3. Thirty studies involving 1,560 participants. The metaverse was applied in various areas such as surgery training, anatomy teaching, and communication skills. Common metaverse approaches include AR, VR, MR, etc., with simulated teaching times ranging from as little as 10 minutes to lasting several weeks. Most studies reported improved student guidance, reduced training time, and enhanced learning interest, and confidence. Metaverse technology proves effective for medical teaching, offering theoretical support for further research.

The Construction of the Practice Teaching System of Digital and Intelligent Integration under the Background of New Engineering Enables the Training of New Quality Productive Forces

In the context of new engineering education, digital-intelligent integration technology, as the core of next-generation information technology, plays a crucial role in promoting industrial upgrading and economic development. Focusing on the construction of a practical teaching system for digital-intelligent integration, this study aims to provide strong support for cultivating new-quality productive forces. Through systematic curriculum design, innovative teaching methods, practical teaching platform development, and faculty team building, this research has successfully established a practical teaching system for digital-intelligent integration. The curriculum system covers multiple levels, including foundational theory, core specialties, and practical application, aiming to cultivate students 'comprehensive qualities and innovative abilities. In terms of teaching methods, innovative approaches such as project-based learning and inquiry-based learning are widely applied, effectively stimulating students' interest in learning and their potential. Regarding the construction of practical teaching platforms, emphasis is placed on the platform's advancement, practicality, and scalability, providing students with a rich variety of practical opportunities. At the same time, by enhancing the training of faculty, the quality and effectiveness of teaching have been improved. Research findings show that this educational system has significantly enhanced students' digital intelligence skills and innovation capabilities, injecting new vitality into the development of new productive forces. This achievement not only enriches the theoretical framework of new engineering education but also provides valuable references for the reform of practical teaching systems.

Teachers' Ability to Improve 18-year-old Students' Motivation to Learn English in a High School in Huaihua, China

In China, English language education has been a priority. Researchers have studied high school students' intrinsic and extrinsic motivation, guided by self-determination theory. In contrast, much of the relevant research in China has focused on learning English motivation among university students; more attention needs to be paid to high school students. Therefore, this paper examined the factors influencing high school students' motivation to learn English and how teachers can improve their students' motivation. The study invited four participants to conduct semi-structured interviews to gather qualitative research data. Results from the qualitative analysis indicated that most high school students had positive perceptions of English as a foreign language (EFL) but were still demotivation. The research identified eight factors influencing students' English learning: perseverance, personality, learning ability, interest in learning, teachers, parents, environment and peers. The perseverance factor was new and needed to be addressed in previous studies. Finally, two recommendations for teachers and students are presented to motivate and sustain learners' motivation to learn English.

Efektivitas dan Tantangan Penggunaan Media Pembelajaran Interaktif di Sekolah Dasar

Technological advances have encouraged innovation in education, including the use of interactive learning media in primary schools aims to enhance student engagement and improve learning outcomes. This study analyzes the impact, challenges, and effectiveness of interactive media through a literature review of relevant scientific journals. The findings reveal that tools such as PowerPoint, educational videos, and Kahoot significantly boost student motivation, facilitate better understanding of concepts, and promote active participation. However, challenges like limited access to technology, teacher preparedness, and varying student competencies must be addressed to maximize the potential of these media in education, among other things, increase interest in learning, facilitate understanding of the material, and encourage active participation of students. They also support independent learning, help students and teachers develop technology skills, and improve information retention, thus creating a more effective, efficient and enjoyable learning experience. However, challenges such as limited access to technology and teachers' lack of skills in operating interactive media are still an obstacle. With good planning and training for educators, interactive learning media can be an innovative solution in creating a more effective, fun and meaningful learning process for students in the digital era

Approach to Design and Evaluate Digital Tools to Enhance Young Adult Participation in Clinical Trials: Co-Design and Controlled Intercept Study.

Certain populations are underrepresented in clinical trials, limiting the generalizability of new treatments and their efficacy and uptake in these populations. It is essential to identify and understand effective strategies for enrolling young adults in clinical trials, as they represent a vital and key demographic for future clinical trial participation. This study aimed to develop, test, and evaluate digital tools designed to encourage the participation of young adults in the clinical trial process. An interdisciplinary approach, incorporating social listening, qualitative focus groups, and co-design workshops, was used to achieve this goal. Digital tools were designed and evaluated using a 4-phase approach that included: (1) social listening to characterize lived experiences with COVID-19 trials as self-reported by online users, (2) qualitative focus groups with young adults to explore specific lived attitudes and experiences related to COVID-19 clinical research hesitancy and engagement, (3) a series of cocreation and co-design workshops to build digital tools aimed at encouraging clinical trial participation, and (4) a controlled intercept study to assess the usability and specific outcome measures of the co-designed digital tools among young adults. A significantly higher change in the likelihood of participating in a clinical trial post exposure was observed among study participants when exposed to prototypes of a mobile app (Δ=0.74 on a 10-point scale, P<.01) and website (Δ=0.93, P<.01) compared to those exposed to a Facebook ad (Δ=0.21) but not a digital flyer (Δ=0.58). Furthermore, those exposed to the mobile app (x̅=5.76, P=.04) and electronic flier (x̅=5.72, P=.04), but not the website (x̅=5.55), exhibited significantly higher postexposure interest in learning about clinical trials when compared to participants exposed to the Facebook (Meta) ad (x̅=5.06). Participants in the intercept study were more likely to consider joining a clinical trial after seeing a mobile app (Δ=0.74, P<.01) or website (Δ=0.93, P<.001) compared to a Facebook ad (Δ=0.21), but the digital flyer (Δ=0.58) did not show a significant difference. In addition, those who saw the mobile app (x̅=5.76, P=.04) or the digital flyer (x̅=5.72, P=.04) showed more interest in learning about clinical trials than those who saw the Facebook ad (x̅=5.06), though the website (x̅= 5.55) did not significantly impact interest. Mobile apps and web pages co-designed with young diverse adults may represent effective digital tools to advance shared goals of encouraging inclusive clinical trials.

Toward Causal Generative Modeling: From Representation to Generation

Deep learning has given rise to the field of representation learning, which aims to automatically extract rich semantics from data. However, there have been several challenges in the generalization capabilities of deep learning models. Recent works have highlighted beneficial properties of causal models that are desirable for learning robust models under distribution shifts. Thus, there has been a growing interest in causal representation learning for achieving generalizability in tasks involving reasoning and planning. The goal of my dissertation is to develop theoretical intuitions and practical algorithms that uncover the nature of causal representations and their applications. In my work, I focus on causal generative modeling with an emphasis on either representation or generation. For representation learning, I investigate the disentanglement of causal representations through the lens of independent causal mechanisms. For generation tasks, I develop algorithms for counterfactual generation under weak supervision settings by leveraging recent advances in generative modeling. The proposed approaches have been empirically shown to be effective in achieving disentanglement and generating counterfactuals.

Explicitly Guided Difficulty-Controllable Visual Question Generation

Visual question generation (VQG) aims to generate questions from images automatically. While existing studies primarily focus on the quality of generated questions, such as fluency and relevance, the difficulty of the questions is also a crucial factor in assessing their quality. Question difficulty directly impacts the effectiveness of VQG systems in applications like education and human-computer interaction, where appropriately challenging questions can stimulate learning interest and improve interaction experiences. However, accurately defining and controlling question difficulty is a challenging task due to its multidimensional and subjective nature. In this paper, we propose a new definition of the difficulty of questions, i.e., being positively correlated with the number of reasoning steps required to answer a question. For our definition, we construct a corresponding dataset and propose a benchmark as a foundation for future research. Our benchmark is designed to progressively increase the reasoning steps involved in generating questions. Specifically, we first extract the relationships among objects in the image to form a reasoning chain, then gradually increase the difficulty by rewriting the generated question to include more reasoning sub-chains. Experimental results on our constructed dataset show that our benchmark significantly outperforms existing baselines in controlling the reasoning chains of generated questions, producing questions with varying difficulty levels.

Design of a mechanical teaching vehicle controlled by cam structure

This paper addresses the challenges of weak correlation in wheel train mechanism learning, incomplete cam design training steps, and restricted industrial software combination learning in conventional mechanical manufacturing courses. We propose a teaching vehicle design scheme centered on cam structure control. This teaching vehicle amalgamates mechanical design, material selection, transmission calculation, and other mechanical knowledge to assist students in achieving software simulation and actual operation processes, thereby enhancing teaching interactivity and visualization. Furthermore, this teaching vehicle cross-integrates multidisciplinary knowledge, provides a cross-course practice platform, aids students in constructing a comprehensive knowledge system, elucidates the entire process from design to manufacture, and significantly improves the application, practice, and innovation capabilities of mechanical technology. The research findings indicate that this teaching vehicle stimulates students’ interest in learning, fosters their comprehensive engineering application, innovative thinking, and practical problem-solving abilities, offers innovative practical teaching schemes for applied undergraduate colleges and universities, enhances competitiveness in the engineering field, and promotes students’ career development.

Students’ Learning Interest: The Effectiveness of the Think Talk Write Learning Model

This research is conducted to investigate the effectiveness of using a Think-Talk-Write instructional Towards students' learning interest in the Islamic Religious Education subject at SMP Negeri 03 Bukit Kemuning, Lampung Utara. Employing a quantitative approach, this research utilizes an experimental method with a post-test only control group design. This Research Comprises two groups: a control class instructed through conventional teaching methods and an experimental class that implements The Think-Talk-Write model. The research instrument comprises a non-test questionnaire, with data collected through the distribution of validated and reliable item. The questionnaire was administered to students' learning following the instructional intervention. Data analysis Was carried out with an independent sample T-test to identify notable differences in students' learning interest among those presented to The Think-Talk-Write model and those who were not. The normality test results indicate that Information from both the experimental and control groups adheres to normal distribution, as evidenced by a significance level of 0.60, which exceeds the threshold of 0.05. Additionally, homogeneity test confirms Indicating that the information exhibit homogeneity, Having a statistical significance value of 0.448, additionally surpassing 0.05. The outcomes of the T-test reveal a Sig. (2-Tailed) value of 0.000, which is significantly lower than 0.05. Based on these findings, it can be conclusively stated that the Think-Talk-Write instructional model proves to be more effective in fostering students’ learning interest compared to conventional teaching methodologies.

Transforming Classroom Management as the Key to Increasing Student Learning Interest

This study aims to describe integrative classroom management that is oriented towards increasing students' interest in learning at MTs At-Taufiq Bogem Grogol Jombang. Using a descriptive qualitative approach, data were collected through non-participant observation, structured interviews, and documentation. Data validity was tested through triangulation of sources, time, and techniques. Data analysis adopted the interactive model of Miles and Huberman. The results showed that classroom management was implemented through planning, implementation, and evaluation functions. Planning involved meetings with teachers and staff held twice a year. Implementation created a friendly atmosphere between teachers and students, although there were challenges in managing male students due to environmental factors. Evaluation was carried out through supervision by the head of the madrasah on innovation and learning tools. Students' interest in learning after classroom management increased, reflected in indicators of the desire to know or have something, objects or activities that they liked, types of activities to achieve things they liked, and efforts to realize desires. The contribution of this study lies in the integration of the social-constructivist approach and self-determination theory in the development of a classroom management model, the development of contextual learning interest measurement instruments, and a classroom management implementation model specifically designed for Islamic educational institutions

Influence of peer learning, self-regulatory learning, and mathematics interest on mathematics performance

The current study examined the influence of peer learning, self-regulatory learning, and mathematics interest on mathematics performance. The study adopted descriptive survey using questionnaire for the data collection. 320 students were sampled from a total population of 1600 students using stratified sampling and simple random sampling techniques. The data collected was analysed using Structural equation modeling to examined the hypothesized paths. Based on the data analysis, peer learning, self-regulatory learning, and mathematics interest had a direct positive and statistically significant impact on mathematics performance. The study explores the impact of peer learning, self-regulatory learning, and mathematics interest on students' performance, offering insights for effective instructional strategies and policy interventions. Finally, the study suggests incorporating structured peer-learning activities, self-regulatory learning strategies, engaging mathematical contexts, and professional development programs for teachers to enhance student autonomy and interest in mathematics.

Beyond slides: the impact of gamified Web presentations on student cognitive load

Purpose This study aims to examine the effectiveness of Web-based interactive (WBI) presentations in reducing students’ cognitive load and increasing their situational interest in learning. Traditionally, many learning practices fail to optimize students’ cognitive resources by presenting irrelevant content and activities. However, practical learning approaches should minimize extraneous cognitive load and maximize germane load. Interactive Web presentations have the potential to do so by actively engaging students. Design/methodology/approach In total, 100 bachelor’s-level students enrolled in a graphic design course participated in this experimental study. In either individual or classroom settings, students were exposed to educational materials delivered via Web-based interactive presentations and traditional methods, using a 2 × 2 factorial design. Questionnaires that had been validated were used to assess cognitive load and situational interest. Findings The findings indicated that online interactive presentations, including slides with videos, simulations and quizzes, successfully decreased unnecessary mental effort while enhancing relevant mental effort and situational engagement compared to conventional approaches. Practical implications Using Web-based interactive educational presentations can optimize students’ cognitive resources, enhancing the learning process. Educators are encouraged to use their interactive capabilities when producing captivating online materials, as this can effectively decrease unnecessary cognitive load and heighten situational interest. Originality/value This research presents empirical evidence supporting the advantages of interactive Web presentations in enhancing learning outcomes. These presentations effectively guide students’ cognitive resources toward processing pertinent information and stimulating their interest in learning. Teachers are advised to use the interactive features of Web presentations to generate captivating and efficient lessons. Nevertheless, additional research is required to bolster the findings.

Combining Big Models and Multimodal Technology to Optimize Learning Path Recommendations in Personalized English Self-learning

With the rapid development of information technology, personalized learning has become an important trend in modern education, especially in the field of English learning. Traditional English teaching methods usually adopt a "one-size-fits-all" approach and fail to fully consider the individual differences of students. This paper aims to solve the problem of insufficient accuracy of path recommendation in personalized English self-learning. To this end, this paper proposes a method to optimize personalized learning path recommendation by combining big models and multimodal technology. Through the analysis and processing of students' learning data by big models, combined with a variety of learning resources such as vision, hearing, and text provided by multimodal technology, the system can dynamically adjust the learning path and provide personalized learning suggestions according to students' learning interests, ability levels, and progress. Specifically, a big model is used to model students' learning history, feedback, and participation, and multimodal technology is combined to generate recommended content that meets students' needs. The experimental results show that the experimental group is superior to the control group in multiple key indicators, including the improvement of learning interest (the average change in the experimental group is 4.3 points, and the control group is 2.5 points), the improvement of task completion (the average learning progress of the experimental group is 93%, and the control group is 75%), and the significant improvement of vocabulary memory retention rate (the experimental group is 88%, and the control group is 73%). In addition, students showed high scores in terms of satisfaction with the recommendation system, relevance of learning content, and adaptability of recommendation difficulty, indicating that the optimization method effectively improved the accuracy and learning effect of personalized learning path recommendations.

Development of educational materials in the field of electricity that are intuitive and easy to understand for primary and secondary school students and educational support through mock lessons

Not only do students need to acquire knowledge about subjects, they also need to feel motivated and inspired. This provides the confidence to tackle subjects head on. In response to a concerning decline in interest from young people in the natural and physical sciences, Associate Professor Tomotaka Kozuki wants to spark enthusiasm for science and technology among children. He aims to do this by appealing to their curious nature and encouraging interest in learning and excitement of the unknown. He is working closely with collaborators Associate Professor Yutaka Kobayashi and Professor Takashi Terashige to overcome challenges associated with visualising electricity. The researchers are developing novel ammeters and voltmeters that visualise currents and voltages, making them accessible and understandable to primary and secondary school teachers and students alike. Using the ammeters and voltmeters they developed, teachers and students can observe the Joule heat generated in the resistor with a thermography camera. This helps them to see and understand the relationship between current and voltage. Having presented his findings so far at conferences, Kozuki is already garnering interest from fellow researchers. He and the team are also conducting mock lectures for primary and secondary school teachers, providing educational support. He conducted a survey and found that 57 per cent of teachers believe they are not good at teaching electricity, which confirms a lack of confidence with this field that needs to be rectified.