Analysis of Teaching Quality Factors at Aviation Vocational Education DOI Open Access

Suyatmo Suyatmo,

Ekohariadi Ekohariadi,

Ari Wardhono

и другие.

IJORER International Journal of Recent Educational Research, Год журнала: 2024, Номер 5(3), С. 561 - 573

Опубликована: Май 13, 2024

Objective: The decreasing absorption capacity of vocational education graduates indicates barriers to teaching quality. This Research aims analyze the factors that influence quality learning. Method: uses quantitative methods. sample is aircraft maintenance engineering students at Aviation Polytechnic. Data analysis Structural Equation Model-Partial Least Square. Result: Validation research instrument resulted in loading factor, AVE, Cronbach Alfa, and SRMR meeting requirements, so variables were declared valid reliable, model was fit. Lecturer behavior learning resources have a direct significant positive relationship. Meanwhile, management support through has influenced by 51.0%. Novelty: role lecturer providing managing resources. collaboration those three aspects can improve competency graduates. high aviation increase era Revolution 4.0.

Язык: Английский

In-service physics teachers’ content knowledge: a critical reflection on the case of the upthrust concept DOI Creative Commons
Yashwantrao Ramma, Ajeevsing Bholoa, Mike Watts

и другие.

Education Inquiry, Год журнала: 2024, Номер unknown, С. 1 - 31

Опубликована: Окт. 9, 2024

Physics educators must possess a strong foundation in content knowledge to effectively promote scientific inquiry-based learning line with the national curriculum goals. However, factual, conceptual, and procedural gaps can impede meaningful teaching of Physics. This study explores use Predict-Observe-Explain (POE) model assess in-service educators' understanding "Upthrust." The research involved 23 participants from professional development programme Mauritius. Data were collected through task-based worksheets focus group discussions validated using Rasch modelling. findings indicate that while are somewhat familiar Upthrust, their be improved for making accurate predictions providing detailed explanations, particularly when disparities between predicted observed outcomes occur. Additionally, reliance on formula-driven methods, influenced by limited exposure experimental practices, underscores need change. importance fostering conceptual over memorisation education. By challenging broadening beliefs prospective promoting teaching, these efforts significantly enhance education, student engagement, achievement secondary schools

Язык: Английский

Процитировано

1

AI-Enabled Multi-Mode Electronic Information Innovation Practice Teaching Reform Prediction and Exploration in Application-Oriented Universities DOI Creative Commons
Ying Chen, Jianrong Bao, Geqi Weng

и другие.

Systems, Год журнала: 2024, Номер 12(10), С. 442 - 442

Опубликована: Окт. 20, 2024

In view of professional learning and practical training in traditional electronic information education application-oriented universities, this paper constructs information–innovation practice teaching reform (EI-IPTR).In scheme, by an integrating artificial intelligence (AI)-enabled curriculum with a multi-mode integrated platform open-style module, big data-based comprehensive resources are optimally configured. We jointly perform the construction innovative teaching, stage design, management improvement, respectively. Subsequently, new mechanisms technology its implementation methods established to achieve better effects. It first strengthens intra-group competition promote students’ innovation competitions. Then, AI technique, i.e., attention mechanism-aided long short-term memory (LSTM), is used model individual abilities. Thus, it accurately evaluates them for teachers efficiently manage their process accordance aptitude. The verifies that AI-enabled data optimization has effect above innovation. exhibits obvious improvement quantity quality knowledge, personal ability, teamwork, practice. also independent completion course analysis data. addition, realizes high-quality combining multi-mode, multi-level, open discipline foundations together efficient, skills.

Язык: Английский

Процитировано

1

Self-Reporting of Teacher–Student Performance in Virtual Class Interactions in Biological Sciences during the SARS-CoV-2/COVID-19 Pandemic DOI Open Access
Aldo Bazán-Ramírez, Homero Ango-Aguilar,

Víctor Cárdenas-López

и другие.

Sustainability, Год журнала: 2023, Номер 15(23), С. 16198 - 16198

Опубликована: Ноя. 22, 2023

We used an interbehavioral model of teacher–student didactic performance with six pairs criteria, as follows. Exploration competencies and precurrent for learning, explicitness teacher criteria identification student illustration illustration—student participation, supervision the practice by pertinent practice, feedback feedback—student improvement, evaluation evaluation—student application. The objective was to determine level covariation, divergence convergence between constructs in virtual classes a result SARS-CoV-2 pandemic, November 2020. Three hundred-thirty undergraduate students biological sciences from public university Peru completed two self-report scales modality through Google forms, one on their teachers other own performance. By means confirmatory factor analysis covariance constructs, three models were obtained good fits convergent divergent validities teaching scales. Adequate functional correspondence each pair obtained. Likewise, performances related teaching–learning evaluation—application most frequent during teaching–learning, according students’ self-report.

Язык: Английский

Процитировано

2

Analysis of Teaching Quality Factors at Aviation Vocational Education DOI Open Access

Suyatmo Suyatmo,

Ekohariadi Ekohariadi,

Ari Wardhono

и другие.

IJORER International Journal of Recent Educational Research, Год журнала: 2024, Номер 5(3), С. 561 - 573

Опубликована: Май 13, 2024

Objective: The decreasing absorption capacity of vocational education graduates indicates barriers to teaching quality. This Research aims analyze the factors that influence quality learning. Method: uses quantitative methods. sample is aircraft maintenance engineering students at Aviation Polytechnic. Data analysis Structural Equation Model-Partial Least Square. Result: Validation research instrument resulted in loading factor, AVE, Cronbach Alfa, and SRMR meeting requirements, so variables were declared valid reliable, model was fit. Lecturer behavior learning resources have a direct significant positive relationship. Meanwhile, management support through has influenced by 51.0%. Novelty: role lecturer providing managing resources. collaboration those three aspects can improve competency graduates. high aviation increase era Revolution 4.0.

Язык: Английский

Процитировано

0