Learning Project Research Articles

Development of an Advanced Biology Learning Website in the Fields of Biotechnology, Biochemistry, and Biomedicine with the STEAM Approach

The growing industry has given birth to various innovations, one of which is the emergence of three new branches of knowledge in biology: biotechnology, biochemistry, and biomedicine. However, this branch of science has not been explored in biology education for students. Technology, in the form of online learning platforms, can address current challenges. STEAM-based biology learning can increase student engagement, motivate creative exploration, and stimulate critical thinking. This study aims to develop an advanced biology learning platform and test the feasibility of the learning media. This study follows the analysis, design, development, implementation, and evaluation (ADDIE) model. The results of this study have led to the development of the “Advanced Biology” website, which contains various exciting features for students. This feature includes a homepage display, learning content display, case-based learning, and research project display. This platform provides engaging educational videos and comprehensive learning materials. The case studies on this site offer an overview of problem-solving and the current state of the industry. This media validates learning materials, media, and technology in the ideal category.

Learning to navigate in the unknown: attuning to affordances in artist visits in schools

ABSTRACT Artist visits have become a common means of delivering arts education in schools; however, teacher education insufficiently prepares student teachers to use the benefits of art projects for teaching and learning. In this conceptual paper, I contribute to an understanding of what capacities are necessary for future teachers to engage in artist visits. I shed light on the fundamental capacity to recognise the affordances that arise in the sociomaterial environment produced through artist visits. By elucidating how affordances are perceived, I illustrate how teacher education can design educational encounters that enable student teachers to attune and attend to affordances through embodied experiences with the ‘unknown’. This approach involves a shift from generic knowledge and skills to ways of being, a shift that is valuable not only for teacher – artist collaborations but also for interprofessional collaboration and professional practice in general.

Construction of an innovative entrepreneurship project learning platform introducing a group recommendation algorithm for college students

This work aims to construct an innovative entrepreneurship project learning platform based on a group recommendation algorithm, which assists college students in better identifying and utilizing appropriate team resources during the entrepreneurial process. In order to achieve this goal, the genetic algorithm and probability models are introduced in the research process to improve the accuracy and personalization of group recommendations. First, the genetic algorithm is designed based on the initial population of individuals consisting of college students' diverse innovative entrepreneurship project information and personal characteristics. Individuals are iteratively optimized to find the optimal team combinations through crossover, mutation, and selection. Simultaneously, a probability model is employed to establish the group recommendation algorithm, and a large number of data samples and features are utilized for model training and prediction. Finally, the effectiveness of the proposed Genetic Algorithm-Probability Model-Group Recommendation (GAPMGR) is validated through experiments and comparative analysis. The research findings indicate that the GAPMGR method proposed has significantly improved team combination recommendations for college students' innovative entrepreneurship project learning platforms. Compared to traditional methods, the GAPMGR algorithm's group recommendation performance has improved by 4.92%, enabling more accurate matching of suitable team resources. By introducing the genetic algorithm and probability models, the innovative entrepreneurship project learning platform based on group recommendation can effectively enhance students' entrepreneurial abilities and team collaboration effects. This platform can provide personalized team resource recommendations for students, promote interdisciplinary cooperation, and facilitate the successful implementation of innovative entrepreneurship projects. In the fields of education and entrepreneurship, this work provides a valuable entrepreneurial learning tool for college students and serves as a reference for educational institutions and entrepreneurship mentors. In the field of technology, this work explores the application of the genetic algorithm and probability models in group recommendation, offering new ideas and methods for further research and application.

Fusion of biomedical imaging studies for increased sample size and diversity: a case study of brain MRI.

Data collection, curation, and cleaning constitute a crucial phase in Machine Learning (ML) projects. In biomedical ML, it is often desirable to leverage multiple datasets to increase sample size and diversity, but this poses unique challenges, which arise from heterogeneity in study design, data descriptors, file system organization, and metadata. In this study, we present an approach to the integration of multiple brain MRI datasets with a focus on homogenization of their organization and preprocessing for ML. We use our own fusion example (approximately 84,000 images from 54,000 subjects, 12 studies, and 88 individual scanners) to illustrate and discuss the issues faced by study fusion efforts, and we examine key decisions necessary during dataset homogenization, presenting in detail a database structure flexible enough to accommodate multiple observational MRI datasets. We believe our approach can provide a basis for future similarly-minded biomedical ML projects.

PENERAPAN MODEL PEMBELAJARAN PROJECT BASED LEARNING (PjBL) TERHADAP KEMAMPUAN BERPIKIR KREATIF SISWA KELAS VIII SMP IT NURUL HIKMAH PENAJAM PASER UTARA

The project based learning model (PjBL) is a learning model that directs students to play an active role in an activity to complete a certain learning project in accordance with the learning objectives to be achieved. This study aims to determine the effect of the application of the Project Based Learning (PjBL) learning model on the creative thinking ability of grade VIII students of SMP IT Nurul Hikmah Penajam Paser Utara. This type of research uses a quantitative approach with the Pre Experiment Design method is One Group Pretest-Postest. The sample used was 31 students of grade VIII B. Data collection uses technical tests in the form of 10 essay questions. The data analysis techniques used in this study are Normality Test Analysis, Normalize Gain (N-Gain) and Paired Sample T-test. The results showed that the application of the Project Based Learning (PjBL) learning model affected students' creative thinking skills with an N-Gain score of 0.72 in the high category. The Project Based Learning (PjBL) learning model is suitable to be used to improve students' creative thinking skills on vibration, wave and sound materials.
 
 Keywords: Project Based Learning (PjBL), Creative Thinking Ability.

Structure-aware preserving projections with applications to medical image clustering

The application of dimensionality reduction (DR) in effectively handling high-dimensional data is becoming increasingly prominent. However, mainstream methods in projection learning exhibit a reliance on either global or local structures, resulting in the inability to effectively learn the discriminative projection. To address this issue, we propose a novel unsupervised DR algorithm, called Structure-Aware Preserving Projections (SAPP). Specifically, SAPP exploits a powerful combination of subspace clustering and graph construction to effectively capture the intrinsic structure of the data. It is able to find discriminative projections, which is mainly attributed to two key factors: (1) can capture the local structure of the data by constructing the nearest neighbor graph and introducing the grouping effect of the representation into projection learning; and (2) preserves the global structure and respects the complex relationship between data points by integrating least squares regression into the dimension reduction process. Moreover, SAPP proves to be a versatile framework that is easily extended to semi-supervised scenarios. Extensive experiments on medical image datasets confirm the effectiveness of our proposed method, showcasing superior clustering accuracy compared to state-of-the-art approaches.

Students' Perspectives on Selecta Capita of Mathematics Online Course on Their Ability to Develop Mathematics Task

The main problem in implementing online lectures is how to adjust what students expect with the achievement of learning quality. This study examines students’ perspectives on effective lectures on the ability to develop mathematics task. Quantitative descriptive research has been carried out on students of the mathematics education study program Universitas Negeri Semarang who took the Selecta Capita of Mathematics course. The subjects in this study were 101 first-year students in the mathematics education study program at Semarang State University for the 2021/2022 academic year. The data were obtained through questionnaires and analyzed by the descriptive statistics. The data that had been obtained and then tabulated in a table, the average value is searched, and presented in the appropriate graph. The results of the study indicate that the availability of learning modules and videos as learning resources is the most important thing that must be prepared during lectures. Furthermore, several other things such as synchronous lectures, discussions using the WhatsApp Group, the use of the learning management system, group assignments, virtual face-to-face meetings, and project assignments need to be prepared during lectures. These results are needed to be applied on team-based project learning models to develop students’ abilities in developing math tasks.
 Keywords: students’ perspectives, selecta capita, mathematics online course, mathematics task

Bridging Literacy Theory with Practice: Differentiated Academic Service Learning Projects with Children's Literature

AbstractThis academic service learning initiative enabled teacher education candidates to create research‐based family literacy activities around a diverse selection of children’s books. Each project included a detailed parent or caregiver letter, which provides an overview of the family literacy activity; materials and props; step‐by‐step procedures; prompting questions; ideas for differentiation to meet the needs of varied learning styles; and real‐world extensions. As pre‐service teachers selected from a menu of literacy strategies that fit their individual letter and project design, the concept of differentiation was being actively implemented. Pre‐service teachers reflected on the experience of creating the family literacy project and their future plans for involving families in their students’ literacy learning.

Sparse Trace Ratio LDA for Supervised Feature Selection.

Classification is a fundamental task in the field of data mining. Unfortunately, high-dimensional data often degrade the performance of classification. To solve this problem, dimensionality reduction is usually adopted as an essential preprocessing technique, which can be divided into feature extraction and feature selection. Due to the ability to obtain category discrimination, linear discriminant analysis (LDA) is recognized as a classic feature extraction method for classification. Compared with feature extraction, feature selection has plenty of advantages in many applications. If we can integrate the discrimination of LDA and the advantages of feature selection, it is bound to play an important role in the classification of high-dimensional data. Motivated by the idea, we propose a supervised feature selection method for classification. It combines trace ratio LDA with l2,p -norm regularization and imposes the orthogonal constraint on the projection matrix. The learned row-sparse projection matrix can be used to select discriminative features. Then, we present an optimization algorithm to solve the proposed method. Finally, the extensive experiments on both synthetic and real-world datasets indicate the effectiveness of the proposed method.

A Guideline for Open-Source Tools to Make Medical Imaging Data Ready for Artificial Intelligence Applications: A Society of Imaging Informatics in Medicine (SIIM) Survey

In recent years, the role of Artificial Intelligence (AI) in medical imaging has become increasingly prominent, with the majority of AI applications approved by the FDA being in imaging and radiology in 2023. The surge in AI model development to tackle clinical challenges underscores the necessity for preparing high-quality medical imaging data. Proper data preparation is crucial as it fosters the creation of standardized and reproducible AI models while minimizing biases. Data curation transforms raw data into a valuable, organized, and dependable resource and is a fundamental process to the success of machine learning and analytical projects. Considering the plethora of available tools for data curation in different stages, it is crucial to stay informed about the most relevant tools within specific research areas. In the current work, we propose a descriptive outline for different steps of data curation while we furnish compilations of tools collected from a survey applied among members of the Society of Imaging Informatics (SIIM) for each of these stages. This collection has the potential to enhance the decision-making process for researchers as they select the most appropriate tool for their specific tasks.

Teacher Motivational Scaffolding and Preschoolers’ Motivational Triggers in the Context of Playful Learning of Multiliteracy and Digital Skills

AbstractThis research focuses on exploring teacher motivational scaffolding and preschoolers motivational triggers in a playful learning project conducted in a Finnish preschool context. The aim of playful learning was to promote preschoolers’ multiliteracy and digital skills in a news-making project. The participants were 17 preschoolers and their teacher. Video ethnography and qualitative content analysis were employed as research methods. The findings indicate that the teacher’s motivational scaffolding strategies in playful learning pedagogy included connecting with the preschoolers’ prior experiences and interests, promoting exploration skills, supporting the different developmental levels of the preschoolers, and encouraging them to participate in playful learning. The following motivational triggers were identified for preschoolers: 1) engaging in discussions about news, 2) exploring news through traditional and digital media, 3) utilizing digital tools, and 4) creating and engaging in news-related activities. The findings contributed to the development of a motivational design model for playful learning.

Enhancing learner autonomy in teamwork skills: Strategies of Vietnamese tertiary EFL teachers in a changing educational landscape

Purpose: This study explores the strategies used by Vietnamese tertiary English as a Foreign Language (EFL) teachers to promote learner autonomy in teamwork skills, crucial in the evolving context of language education in Vietnam.
 Design/Methodology/Approach: Employing semi-structured interviews, the research involved nine EFL teachers from two Vietnamese educational institutions, representing various career stages: novice, mid-career, and near-end career.
 Findings: Analysis through thematic frameworks revealed that teachers utilize diverse methods like collaborative learning projects, reflective practices, technology-enhanced learning, and real-world tasks. These strategies, adaptable to the Vietnamese cultural and educational context, proved effective across different teaching stages.
 Conclusion: The findings underscore the importance of contextually adapted teaching strategies, the increasing role of technology in EFL education, and the value of experiential learning. It demonstrates how Vietnamese EFL teachers’ approaches can significantly impact learner autonomy in teamwork skills. This research contributes to the literature by providing insights into effective EFL teaching strategies within non-native English-speaking environments, offering valuable perspectives for educators, curriculum designers, and policymakers.
 Research Limitations: The study identifies limitations, including a small sample size and reliance on qualitative data, suggesting the need for broader research with diverse methodologies.
 Practical Implications: This research emphasizes the necessity for culturally adapted teaching strategies and technological integration in EFL education to enhance learner engagement.
 Contribution to Literature: The study emphasizes the efficacy of context-specific tactics in enhancing learners' abilities, providing significant perspectives for educators and policymakers on enhancing EFL teaching practices through experiential learning and digital resources.

541 A Framework for Multicultural and Multidisciplinary Near-Peer Mentoring for Artificial Intelligence in Healthcare Education: A University of Florida Friend Group

OBJECTIVES/GOALS: This work aims to explore how citizen science serves as a transformative frame work to bridge scientific knowledge, focusing on its potential to enhance transdisciplinary learning in artificial intelligence (AI) biomedical and clinical sciences by facilitating near-peer mentoring. METHODS/STUDY POPULATION: Our group of eight friends comprise a multicultural and multidisciplinary cohort including students from the USA, Philippines, Indonesia, and Guatemala pursuing PhD degrees in electrical and computer engineering, epidemiology, physics, and MD, PharmD, and DMD degrees. We engage in shared online courses, collaborative projects, and abstract submissions. Employing our collective knowledge, we design interactive learning experiences, support each other’s initiatives, and collaboratively develop lectures and presentations. We in tend to expand collaborations in biomedical AI education while fostering principles of experiential and collaborativelearning, constructivism, and authentic inquiry. RESULTS/ANTICIPATED RESULTS: Our recent successes include submittedconference abstracts on data science and AI education in pharmacy and the facilitation of a guest lecture in health informatics. Additionally, we are currently collaborating on seven biomedical machine learning projects in radio frequency engineering, aiming for conference submissions. Moving forward, our goal is to expand our group, support the formation of similar communities, and promote data science and AI literacy in biomedical and clinical contexts. We aspire to extend this knowledge to families, classmates, and eventually patients, facilitating a broader understanding of the role of AI in healthcare. DISCUSSION/SIGNIFICANCE: We believe diverse expertise and pedagogical theories can help demonstrate the potential of citizen science to democratize scientific experience. By nurturing collaborative networks our efforts aim to bridge gaps between disciplines and enhance the broader public’s understanding of AI in healthcare.

Queering primary initial teacher education

ABSTRACT This research was designed to raise awareness, access and understanding of lesbian, gay, bisexual, transgender, intersex, queer/questioning, asexual/aromantic and others who sit outside of the heteronormative binary (LGBTIQA+), inclusion for pre-service educators studying in Bachelor of Education (Primary) and Master of Teaching (Primary) ITE courses in one Australian university. The project involved the production of three video resources intended for inclusion in existing teacher education units. Whilst originally conceptualized as ’bite-sized‘ resources intended for use by pre-service educators, initial survey data from academic staff indicated the need to first develop the collective understanding of primary education LGBTIQA+ inclusion for the academic staff themselves. This teaching and learning project built on existing work focused on the mapping of LGBTIQA+ content and resources in the Primary ITE courses and is linked to the wider University agenda on equity and diversity. The project was a preliminary investigation into the viability of micro-credentials for Primary pre-service teachers to develop their knowledge and understanding of LGBTIQA+ inclusion in Primary Education. Findings affirm that whilst culturally responsive pedagogical practices are needed in ITE, further resource development and upskilling of teacher educators is required to better support future teachers and the children they work with in relation to LGBTIQA+ issues, and resources.

Digital-Based Living Values Project Activities Learning Model for Strengthening Students’ Pancasila Character

This study aims to describe the conceptual model of digital-based living values activities project learning, students’ perceptions of implementing this model, and the reinforcement of students’ Pancasila character. The research utilised a mixed methods approach on students and teachers at junior high schools in Bandung, Indonesia. The findings reveal that the digital-based living values activities project learning model integrates project-based learning, living values education and digital learning. Students perceived the implementation of this model quite positively, and the reinforcement of students’ Pancasila character was categorised as good. This model can be used to strengthen students’ character.

Sensory Science Project Learning Methods for Student Readiness to Enter Elementary School

Researchers designed the sensory science project (SSP) learning model according to the cognitive and psychological development of early childhood. SSP contains sensory stimulation activities and knowledge material which are arranged in an integrated manner in an activity project. This research aims to determine the effect of the SSP learning method on students' readiness to enter elementary school.This research method is quantitative research analysis with a quasi experiment approach. This research design uses a nonequivalent comparison group, conducting a pre-test and post-test on the control group and experimental group at the same time (Creswell, 2016). The data collected used the Nijmeegse schoolbekwaamheids Test (NST) and subject observation. The learning intervention used uses the sensory science project (SSP) module which has gone through a module testing process. The research subjects were 24 children, aged 5-6 years who were attending early childhood education at TK B level at TK RJ Sidoarjo. The results of this research found that there was an influence of implementing the SSP model on children's readiness to enter elementary school. The independent sample t-test produced a value of t(19)=2.392, p=0.027. The average posttest score for the experimental group was 55.70, while for the control group it was 46.73. The average posttest score for the experimental group was higher than the control group. This proves that there was a greater increase in scores for the experimental group after being given the SSP learning intervention. The results of this research can be used as input and consideration in designing educational methods for early childhood which include inquiry learning, sensory integration and project based learning. It is hoped that this method can support children's school readiness to enter elementary school.Peneliti merancang model pembelajaran sensory science project (SSP) sesuai dengan perkembangan kognitif dan psikologis anak usia dini. SSP berisi kegiatan stimulasi sensori dan materi pengetahuan yang disusun secara terintegrasi dalam sebuah proyek kegiatan. Penelitian ini bertujuan untuk mengetahui pengaruh metode pembelajaran SSP terhadap kesiapan siswa memasuki SD. Metode penelitian ini adalah analisis penelitian kuantitatif dengan pendekatan quasi experiment. Desain penelitian ini menggunakan nonequivalent comparasion group, melakukan pre test dan post test kepada kelompok kontrol dan kelompok eksperimen di waktu yang bersamaan (Creswell, 2016). Penggalian data yang digunakan menggunakan Nijmeegse Schoolbekwaamheids Test (NST) dan observasi subyek. Intervensi pembelajaran yang digunakan menggunakan modul sensory science project (SSP) yang telah melalui proses uji coba modul. Subyek penelitian berjumlah 24 anak, usia 5-6 tahun yang sedang mengikuti pendidikan usia dini jenjang TK B di TK RJ Sidoarjo. Hasil penelitian ini menemukan adanya pengaruh penerapan model SSP terhadap kesiapan anak masuk SD. Uji independent sample t-test menghasilkan nilai t( 19)=2,392, p=0,027. Nilai rata-rata posttest untuk kelompok eksperimen adalah 55,70, sedangkan pada kelompok kontrol adalah 46,73. Rata-rata nilai posttest kelompok eksperimen lebih tinggi daripada kelompok kontrol. Hal ini membuktikan bahwa ada peningkatan nilai lebih besar terhadap kelompok eksperimen setelah diberi intervensi pembelajaran SSP. Hasil penelitian ini dapat digunakan sebagai bahan masukan dan bahan pertimbangan dalam merancang metode pendidikan untuk anak usia dini yang mencakup pembelajaran inquiry, sensori integrasi dan project based learning. Diharapkan metode tersebut dapat mendukung kesiapan sekolah anak untuk memasuki sekolah dasar.

Develop Project Management Skills in the OIDECCA Learning Model in Universities

Project skills are skills to be able to manage projects that are instilled in students through the learning process. To find out the development of students' project learning skills in the OIDECCA learning model in the Biology Education Study Program, Islamic University of Riau. This research is quantitative descriptive. Sample selection used group sampling techniques. Data collection techniques are carried out by observation and documentation. Data on student project learning skills were analyzed using descriptive analysis. The results of the analysis can be explained as follows: 1. Student activities in learning projects are in the active category, such as activities in determining ideas in the active category (66.76%), activities in designing activities in projects in the active category (83.33%), activities in providing evidence in the category active (50%), activities to communicate the results of project activities in the active category (66.67%). 2. The development of students' project learning skills in the good category, namely 1) establishing well-developed ideas in the good category (66.67%). 2) Making an activity plan consisting of: a) preparing project activity steps in the very good category (50.0%), b) preparing a schedule in the very good category (50.0%), c) making a job description in the category very good (50.0%), d) designing product designs is in the very good category (50.0%). 3) making products, namely showing proof of making products in the good category (66.67%). 4) communicating and reflecting consists of a) preparing a presentation in the very good category (50.0%), b) presenting project results in the good category 50.0%

The Effect of Scaffolding and Creative Thinking Skills in an Acid and Base Learning Project on Students’ Science Process Skills

Scaffolding is a strategy given by teachers to guide students to successfully complete learning tasks. Teachers may provide either questioning, cueing, prompting, or explaining and is based on students’ actual ability. The purpose of this study was to investigate the effect of the scaffolding provision and students’ creative thinking skills on students' science process skills (SPS) in a project-based learning (PjBL) about acid and base concepts. A quasy factorial experiment research design was applied to collect data using a pre-validated SPS-observation. An experiment group from SMAN 3 in Jambi City had learnt the concepts using a scaffolding-assisted PjBL while a control group from the same school had learnt it using PjBL without scaffolding. Prior to the learning, creative thinking ability of the students was measured using a questionnaire. Data was then analyzed using a two-way Anova test assisted by SPSS software. The results of analyses showed that there was an effect of the scaffolding and the creative thinking ability on the students’ SPS. Potential interaction between those variables was also seen in affecting the SPS. It appears that the the presence of scaffolding and the initial students’ ability in creative thinking sinergetically improved the students’ SPS.

The Effect of the STEM Integrated Project-Based Learning Assisted by Electronic Student Worksheets on Students’ Science Process Skills

This study aims to describe the effect of the STEM-integrated project-based learning (PjBL) model assisted by electronic student worksheets on students' science process skills in simple harmonic vibration material. This research was conducted at SMA Negeri 1 Bumi Agung using an experimental design with a non-equivalent control group design. Both test and non-test instruments were used to evaluate the research. The results indicate that the N-gain in the experimental class was 0.55, indicating a moderate improvement. The observation sheet of science process skills in the experimental class showed a percentage of 75% with a good cathegory. The Mann-Whitney hypothesis test demonstrated that there was a significant difference in the average increase of science process skills between the experiment and control classes (sig. of 0.001 < 0.05). The effect size test showed that Project Learning integrated with STEM assisted by student worksheets was effective to improve students' science process skills, with an effect size of 0.199, representing a large category

The Implementation of Dynamic Society Oriented 6c Skills Assessment Instruments in Case Method and Team Based Project Learning

This research aims to describe the implementation of the dynamic society-oriented 6C assessment instrument in case method and team-based project learning. This quantitative descriptive research was conducted at the Lampung University and UIN Raden Intan Lampung (RIL), in the course which were implemented case method and/or team-based project learning-chosen by purposive sampling technique. The data analysis technique was used validity, reliability, tabulation of questionnaire results, descriptive and inferential statistics. The research results show that the 6C instruments are effective implemented in case method and team-based project learning. It was also found that in the implementation of case method and team-based project learning: i) the critical, creative, computational, and collaborative thinking skills of students at the University of Lampung were higher than the students at UIN RIL; ii) students' self-compassion at UIN RIL is higher than Lampung University; and iii) there are no students which gains high category of collaboration skills.