Student Outcomes Research Articles

Enriching Educational Landscapes

As an arts educator, I spent a month in Bhutan engaging Bachelor of Education students in project-based learning activities aimed at enhancing creativity, critical thinking, and problem-solving skills. These activities served as a dynamic capstone to their theoretical literacy unit. I documented students' collaborative efforts and creativity through photos and videos, which have been transformed into eBooks. These resources are now integrated into courses at my Australian university, enriching learning experiences for our culturally diverse student body with authentic examples of cross-cultural project-based learning. The eBooks showcase student outcomes and offer reflective analyses to inform future teaching practices, inspiring innovative and collaborative learning strategies globally. Moreover, these resources contribute to the university's commitment to global education and cultural diversity, demonstrating how experiential learning can transcend geographical boundaries and enrich the educational journey of students promoting global citizenship. To address a broader audience within Bhutan, and globally, the lesson plans and resources I developed to deliver the project-based learning activities, are now available on the Artist in Residence Education Program website. This provides an opportunity for any educator to access and adapt these materials to their own contexts. Teaching in Bhutan highlighted how factors like collectivist culture, religious beliefs, and the Gross National Happiness Index support traditional teaching practices and how complex it is to break down traditional teaching practises and encourage valid creative ways learning. The students greatly enjoyed the new activities and even requested additional lessons. It was rewarding to see them realise their potential for creativity and innovation in teaching, enhancing their approach to learning and self-perception as future educators. In conclusion, understanding sociocultural norms in Bhutan offers a wealth of insights that can inspire and inform academic approaches to teaching in countries with traditional forms of education and limited access to resources.

The Effect of Teaching Strategies on English Language Learning in Libya

This study examines the impact of teaching strategies on English language learning in Libya, focusing on the challenges Libyan teachers face in secondary schools. The research investigates the effectiveness of different teaching methods and explores innovative strategies, including interactive technologies, in the classroom. The primary aim is to assess how these strategies influence student engagement, language proficiency, and overall learning outcomes. A mixed-method approach was employed, incorporating a quantitative analysis of survey data from ten high school English instructors in Hoon. The results indicate that educators frequently employ supportive techniques, including offering comments and encouraging task completion. The study reveals substantial deficiencies in self-assessment and contemporary evaluation techniques, suggesting a dependence on conventional pedagogical methods. The absence of modern methodologies, such as student reflection and peer assessment, may restrict students' active engagement and impede their linguistic advancement. This research paper also identifies differences in teaching practices based on teacher demographics, including gender and years of experience. More experienced teachers were found to employ a broader range of strategies, suggesting the need for mentorship and professional development for newer educators. The study emphasizes integrating technology-enhanced tools and reflective assessment techniques to foster a more effective and engaging learning environment. The conclusions drawn from this research paper recommend that targeted professional development programs be implemented to support teachers in adopting more reflective and modern teaching methods. These programs should focus on enhancing teachers' skills in self-assessment techniques, peer evaluation, and technology integration in the classroom. By doing so, English language instruction in Libya can be significantly improved, contributing to better student outcomes and excellent English proficiency. Overall, the study underscores the need for a dynamic and adaptable approach to teaching English, where traditional methods are supplemented by innovative strategies that actively engage students and equip them with the necessary skills to succeed in a globalized world.

Leadership in the Third Space

In higher education, the third space can be defined as a place where blended professional and academic roles and skills overlap to achieve common goals which primarily focus on student outcomes. This liminal space can be challenging to lead in as third space areas are typically complex, with a great need for problem-solving and resourcefulness. Career pathways for third space leaders do not follow a straightforward or linear trajectory and fit-for-purpose training and education opportunities for these roles are scarce. Examples of third space environments are educational design, learning design, learning technology and quality assurance. This paper explores common leadership traits and super-powers (key strengths or unique skills), which could contribute to a model for effective leadership in the third space.

Effect of Project-Based Learning Model on Creativity and Learning Outcomes of Basic Electrical Engineering

This study aims to determine the effect of project-based learning models on creativity and learning outcomes of Electrical Installation and Power Engineering students in the Basic Electrical Engineering subject in class XI of SMKN 1 Airmadidi. This study used an experimental method with a post-test-only control group design. The instruments used included learning outcome tests and creativity questionnaires. The results showed a significant difference in the learning outcomes of Basic Electrical Engineering between students who were involved in learning using project-based models and those who followed conventional methods. This indicates that applying project-based learning models substantially affects the learning outcomes of Basic Electrical Engineering in Class XI of SMKN 1 Airmadidi with a ttable value < tcount or 4.10 < 6.773. The project-based model also shows the level of creativity between students who undergo learning with a project-based approach and those who use conventional methods. These findings indicate a significant effect of the project-based learning model on student learning creativity in Class XI of SMKN 1 Airmadidi with a ttable value < tcount or 4.10 < 6.418.

Predicting Student Dropout Rates in Higher Education: A Comparative Study of Machine Learning Algorithms

Recent years have seen a significant increase in study interest in the areas of predicting student performance, avoiding failure, and identifying the variables affecting student dropout. One important indicator in online and open distance learning courses is the student dropout rate. We purpose the naive bayes classification method to construct the student dropout prediction using naive bayes. This work examines the critical topic of forecasting student dropout rates in higher education using machine learning approaches, with a particular emphasis on the random forest algorithm and the naive bayes algorithm. The study's goal is to properly anticipate dropout rates using data mining methods and machine learning algorithms after conducting a thorough evaluation of existing literature and approaches. The systematic method consists of data collection from a Kaggle dataset, data preparation to solve class imbalance via SMOTE oversampling, and algorithm selection. Random forest and naive Bayes approaches outperform other machine learning algorithms in terms of accuracy, sensitivity, specificity, and precision. The study underscores the importance of considering diverse factors such as demographic data, socioeconomic factors, and academic performance in dropout prediction models. The implications of this research extend beyond academia, with the potential to inform proactive interventions and support systems, ultimately leading to improved student outcomes and institutional effectiveness. According to this paper, the paper outputs that for the binary classification on the data set used in this project has best performed with Naive Bayes and Random Forest Algorithm with SMOTE oversampling. Keywords- SMOTE oversampling, machine learning, Random forest, naive bayes.

Demystifying the Power of Generative Artificial Intelligence Tools in Higher Education

Artificial intelligence represents an emerging frontier for higher education institutions, potentially personalising learning, automating tasks, and supporting student outcomes. This study examines international students’ perceptions of the recent proliferation of generative artificial intelligence tools in the context of academic learning and assessment. The study involved N = 223 students from three different higher education institutions located in Australia, Germany and Italy. The focus was on the student’s competence in artificial intelligence and their perception of six different generative artificial intelligence tools concerning learning and assessment. The findings suggest that the dimensions of competence in artificial intelligence vary considerably and that students from different countries have a comparable level of competence in artificial intelligence. Further findings indicate that the expected support of generative artificial intelligence tools for learning and assessment is perceived differently. This study highlights the need for increased pedagogical attention to artificial intelligence, bridging the gap between students' enthusiasm and technical knowledge. It suggests that effective integration of generative artificial intelligence tools should also prioritise the development of critical thinking and comprehension skills over content generation.

AI-Teacher Teaching Task Spectrum in Action

The AI-Teacher Teaching Tasks Spectrum (AITTTS) was conceived as a way to understand the relationship between human teachers and the ever-evolving AI technologies in education. This study demonstrates how the AITTTS framework can be operationalised into a tangible intervention, showcasing the design models and practical applications of the AITTTS in real-world educational settings. By categorising teaching tasks into a spectrum, the AITTTS delineates the roles that AI and human teachers can play, providing a structured and nuanced understanding of their collaboration. As a result of the practical application of the AITTTS, a design model was birthed in this study. It highlights various aspects of holistic student outcomes such as positive electronic nonverbal communication (eNVC) cues, adaptive learning paths, and interactive learning responses as elements by which AI should be designed. By providing a structured approach for educators to incorporate AI tools and interventions in their learning environments, this research lays the groundwork for further exploration of the synergistic relationship between AI and human teachers in modern education. This framework can serve as a guide for educators to develop and implement AI-enhanced teaching strategies, fostering a more dynamic and responsive educational landscape.

Using LLMs to support teacher reflections on using questions to deepen learning and promote student engagement

While much attention has been focused on improving student outcomes, there is growing interest in supporting teachers' reflection on their teaching practice using Generative Artificial Intelligence (GenAI) technologies. This paper examines the application of Large Language Models (LLMs) such as GPT-4 to automate the analysis of secondary school teachers' teaching practice in Singapore, specifically within the context of one of the teaching areas identified by the Singapore Teaching Practice model: using questions to deepen learning. We aimed to demonstrate the effectiveness of LLMs in analyzing classroom lessons in this teaching area. The methodologies employed in this study included the collection of classroom data and their analysis, both manually and using LLMs. Specifically, this involved transcribing the classroom lessons and analyzing each question using LLMs, with the results compared to a ground-truth dataset created through manual analysis. The findings suggest that LLMs are effective in providing, forming the basis for future teacher reflection and the potential for automated self-reflection tools in Singapore schools.

Leveraging Information Technologies for Organisational Learning and Knowledge Management: Enhancing Access and Educational Outcomes for Rural Students

PurposeThis study investigates the role of information technologies in enhancing organisational learning and knowledge management in South African rural universities, with the goal of improving access and educational outcomes for rural students. The research focuses on how digital tools can create more equitable learning environments and address the unique challenges faced by rural institutions. Study design/methodology/approachA scoping review of literature from 2000 to 2024 was conducted, employing the Diffusion of Innovation theory and Social Pedagogy Justice framework to analyse the impact of digital platforms on organisational learning and knowledge management in rural universities. The study examines how these tools can help bridge the gap between rural and urban students and address the challenges of limited resources and digital divides. FindingsThe study finds that information technologies can significantly improve organisational learning processes and knowledge management in rural universities by providing tools that promote inclusion and participation. Digital technologies, when thoughtfully implemented, can help reduce educational disparities by enhancing access to resources and supporting collaboration between students in urban and rural areas. The research suggests that a strategic approach to technology adoption, tailored to the local context, is key to achieving more equitable educational outcomes. Originality/valueThis research provides valuable insights for policymakers and educational leaders on how to leverage information technologies to advance social justice in education. By focusing on rural universities in South Africa, the study highlights the importance of addressing infrastructural and resource challenges while using digital tools to foster inclusion and equity. The findings offer practical strategies for enhancing the effectiveness of digital platforms in improving educational outcomes for traditionally underserved communities.

Educational Strategies for Enhancing Student Outcomes: Insights from Secondary Schools in Mbarara Municipality

Purpose: This paper examines the effectiveness of various educational strategies employed in secondary schools in Mbarara Municipality, Uganda, to enhance student outcomes. Methodology: The study uses a mixed-methods approach, combining quantitative data from standardized test scores with qualitative insights gathered through interviews with teachers, students, and school administrators. Findings: Findings reveal that student-centered teaching, regular formative assessments, and teacher professional development significantly improve student learning outcomes. However, challenges such as inadequate resources, overcrowded classrooms, and teacher absenteeism persist. Unique Contribution to Theory, Policy and Practice: Recommendations focus on enhancing stakeholder collaboration, improving teacher training, and leveraging technology for teaching and learning. These strategies have the potential to foster better academic performance and overall student development.

UPAYA MENINGKATKAN HASIL BELAJAR IPAS MELALUI MODEL PROBLEM-BASED LEARNING MATERI WUJUD ZAT DAN PERUBAHANNYA

The purpose of this study was to evaluate the development of student learning outcomes, teacher and student activities, the teacher's ability to direct learning and student responses to the application of problem-based learning (PBL) in the learning process. This type of research is Classroom Action Research (CAR). The subjects of this study were class IV students of SD Negeri 02 Gejlig for the academic year 2022/2023, which consisted of 5 students. In this study, observation sheets, tests and questionnaires were used as data collection tools which were analyzed using descriptive statistics. The results showed that (1) the percentage of individual total perfection increased from Cycle I to Cycle II, namely 60% to 100%, as well as the percentage of total classical perfection increased from 50% to 100%. (2) The activity of teachers and students increases during the learning process. (3) the teacher's learning management skills increased from the adequate category to the good category. (4) Student responses were generally positive, with 100% of students saying they enjoyed learning using this constructive problem-based learning (PBL) model. From this study it can be concluded that the application of the Problem-based Learning (PBL) learning model can improve the science learning outcomes of fourth grade students at SD Negeri Bagi 01 regarding the material form of matter and its changes.

Science Outcome Design Parameters for Cluster-Randomized Trials Involving Teachers

Programs aiming to improve student science outcomes often involve teachers. When designing cluster-randomized trials (CRTs) to evaluate the causal effects of these programs, investigators need empirical design parameters as critical inputs in the study design phase. Using proper empirical design parameters to conduct power analysis, investigators can ensure designs have adequate statistical power to detect treatment effects and efficiently use resources. The current study uses two nationally representative samples to estimate empirical design parameters for science outcomes in settings of students (nested within teachers) nested within schools. We compile design parameters for intraclass correlation coefficients and proportions of variance explained by covariates. We illustrate how to use the results to design efficient and effective CRTs in both the conventional statistical power analysis framework and the optimal design framework that additionally considers sampling costs.

Implementation of Contextual Learning Improves the Lighting Installation Learning Outcomes of Students of SMKN 1 Tomohon

This study is expected to improve learning outcomes. Electrical lighting installation for grade XII students using a contextual learning model during the 2022–2023 academic year. The study was conducted in two cycles, with planning, implementation, action, observation/evaluation, and reflection as components of each cycle. This study involved 30 grade XII TITL students. The collected data were analyzed through test techniques. It was analyzed using qualitative descriptive techniques. The results of the study showed that the average student learning outcomes in cycle 1 in the electrical lighting installation component were 67.4% in the moderate category, which in cycle 2 increased to 80% in the high category, indicating an increase of 85.66%. Thus, the contextual learning model has been proven to improve the learning outcomes of grade XII TITL students at SMKN 1 Tomohon in the 2022–2023 academic year.

The Effect of Problem Based Learning Models and Analysis Skills on Mathematics Learning Outcomes in Primary Schools

This research aims to determine the effect of the problem based learning model and analytical skills on elementary school students' mathematics learning outcomes. This type of research is quantitative research using experimental methods with a research design using a 2x2 factorial design. The research was carried out at SDN 3 Lenek Daya. Data collection techniques use tests to determine learning outcomes and students' level of analysis. The results of the research show that 1) there is a difference in the mathematics learning outcomes of students who are taught using the Problem Based Learning (PBL) and the learning outcomes of students who use the Cooperative Think-Pair-Share (TPS) model, indicated by the difference in Fhitung values ​​greater than Ftable by (17,991 > 3.44). 2) there is an interaction effect between the PBL and analytical skills on students' mathematics learning outcomes, as evidenced by the Fhitung value being greater than Ftable (4.549 > 3.44) with a Sig value < α value (0.029 < 0.05). 3) there are differences in mathematics learning outcomes for students who have a high analysis of learning using PBL and TPS, this is because Fhitung is greater than Ftable (6.472 > 3.44), as well as the sig value < α value (0.030 < 0.05). 4) there are differences in mathematics learning outcomes for students who have low analytical skills who are taught using the PBL and TPS models, because the Fhitung value is greater than Ftable (19,950 > 3.44) while the sig value < α value (0.001 < 0.05)

Assessing Teacher Accountability: Development and Validation of the Teacher’s Professional Accountability Scale (TPAS)

This study aims to develop and validate the Teachers’ Professional Accountability Scale (TPAS) constructed by the researcher, which addresses the need for a comprehensive tool to measure professional accountability among Secondary school teachers. Professional accountability is the obligation of educators to adhere established standards and practices with competence and integrity, is crucial for improving educational quality and ensuring favorable student outcomes. A descriptive survey method was employed, and the TPAS was constructed and standardized through a pilot study. The scale consists of 94 items across four dimensions: procedural responsibility, consequential responsibility, instructional responsibility, and school and classroom responsibilities for student outcomes. Item analysis and selection resulted in a final draft of 74 items with satisfactory discrimination power. Reliability analysis using split-half method and Cronbach’s alpha yielded coefficients of 0.85, indicating high internal consistency. Content validity was established through expert reviews, and norms were developed based on z-scores from a sample of 281 Secondary school teachers. The TPAS provides a validated measure for assessing professional accountability, contributing to the advancement of educational research and practice, The study reached some recommendations, including the commitment of the school administration and senior management to the accountability standards reached, and the provision of joint workshops to ensure the efficiency of the implementation of professional accountability standards for teachers.

Factors Influencing Teacher Enthusiasm: A Qualitative Study in Turkish Context

This study explores the factors influencing teacher enthusiasm in Turkish public schools through a qualitative, exploratory case study design conducted in two provinces in the northwestern region of Türkiye. Data were collected from 28 teachers using semi-structured interviews, with participants selected through convenience and maximum variation sampling methods. Content analysis was employed to analyze the data. The research identified three primary themes: personal factors, contextual factors, and external factors. Personal factors include motivation, affection for teaching and job satisfaction. Contextual factors encompass students’ academic performance and behaviors, school leadership practices, relationships with colleagues, and working conditions. External factors involve parental attitudes, educational policies, the value perception of the teaching profession, and incentives and rewards. The findings emphasize the critical role of personal motivation, affection for teaching, and job satisfaction in fostering teacher enthusiasm. Additionally, supportive leadership, positive student interactions, and a collaborative work environment are crucial contextual factors. External factors such as positive parental attitudes, consistent educational policies, societal recognition of the teaching profession, and appropriate incentives and rewards also play a vital role in fostering teacher enthusiasm. These results suggest that policymakers should prioritize consistent educational policies as well as recognition and rewards for teachers, while school principals should create supportive and collaborative environments. By addressing these areas, stakeholders can enhance teacher enthusiasm, ultimately improving teaching quality and student outcomes.

Case Study of Transforming and Scaling Entrepreneurial Internship Access in IHE

This case study explores innovative approaches to expand access to high-quality internships and improve equitable student outcomes. It focuses on Lehigh University’s virtual Innovation Internship program, partnered with the Nasdaq Entrepreneurial Center and Epixego Inc. The program aims to address challenges in traditional internships, such as hidden curriculum, false narratives, and unequal social environments. By incorporating self-assessment of learning competencies and enhancing student agency, the program doubled its capacity to 40 students. The study measured student self-efficacy, occupational identity choice, and outcome expectations based on various factors. Results showed that students changed internship preferences across occupation categories and experienced increases in entrepreneurial self-efficacy (3%), occupational identity (7%), and perception of entrepreneurship education (4%). This multifaceted approach demonstrates the potential for innovative internship designs to improve accessibility and student development outcomes.

Developing Character Education with 4C Skills in Muhammadiyah Schools

The intracurricular learning process tends to lack high character values, especially Al-Islam and Muhammadiyah characters at Muhammadiyah Elementary Schools. Students only focus on the learning process with knowledge output. Attitudes and skills are often forgotten in the teaching and learning process. Students have not yet installed the 4C skills (critical thinking, collaboration, communication, creativity). This research is to develop a character education model in the intracurricular learning process, namely the Al-Islam and Muhammadiyah character education model for Muhammadiyah elementary school students. The AIK character education model will be developed with 4C skills (critical thinking, collaboration, communication, creativity) as the latest outcome that 4C skills are able to help and develop students' AIK character in thinking creatively and facing problems. It is hoped that the AIK character model based on 4C skills will be able to score AIK character scores with 4C skills in the intracurricular learning process at Muhammadiyah elementary schools. Highlights: Integrating 4C skills into character education at Muhammadiyah schools. Developing moral values and competencies in students through the Al-Islam model. The model’s effectiveness proven by expert validation and student outcomes. Keywords: Character Building, 4C Competency, Al Islam Muhammadiyyah

The ADDIE Method in Digital Atlas-Based Learning Media on Practicum Learning Outcomes in Histology of Medical Students

Histology is one of the basic sciences that is difficult to learn, as evidenced by low practicum scores. The purpose of this research is to develop histology digital atlas-based learning media for medical students at Universitas Negeri Gorontalo. This digital atlas-based media aims to enhance student learning outcomes. The ADDIE method was used to develop the learning media. The results show an improvement in the learning outcomes of medical students in the histology practicum. It implies to use ADDIE for everyone who wants to develop learning media. It contributes to all teachers to use ADDIE method in Digital Atlas based learning media on practicum learning outcome.

Harnessing Artificial Intelligence for Personalized Learning Pathways: A Framework for Adaptive Education Management Systems

Abstract. The integration of artificial intelligence (AI) into education is revolutionising how we deliver personalised learning, where curriculum, pedagogy and assessments are dynamically adjusted to meet the demands of each learner. In this paper, we examine the role AI can play in the construction of personalised learning pathways, and explore its applications for K-12 education, higher education and lifelong learning. We highlight that AI-driven systems such as Summit Learning, Pounce at Georgia State University, and IBMs Watson Talent are helping to measure dramatic improvements in student and employee outcomes, ranging from retention rates, academic performance, to engagement levels. We show how AI can enable student profiling, adaptive learning path generation, and ongoing assessment via the continuous feedback loops that are critical to transformative personalised learning. We also highlight some of the key challenges related to how education (eg, data privacy, scalability and equity), and showcase case studies and data from AI applications in different educational contexts to demonstrate the potential of personalised learning enabled by AI. In summary, this paper underscores the benefits and challenges of implementing AI in education, providing a perspective on how AI is likely to shape the future of learning.