This study investigated the current practice of learning, teaching and assessment in science, particularly in classrooms at primary level in a division of Bangladesh. In addition, this study also focused on the role of DPEd program in the development of the professional preparation of teachers' for improving their quality of science teaching. For the purpose of this study, a mixed method research design which used both quantitative and qualitative method to gather and analyse data. A random stratified sampling process was used to select 150 primary science teachers and 60 students in grade 5 (10 + years) students for collecting quantitative data while a purposeful sampling process was used for qualitative inquiry. Qualitative data was obtained through analysis of the national documents and the interviews of Head teachers of primary schools, Assistant Upazila (Sub-district) Education Officers and Instructors of Primary Training Institutes (PTI) and Upazila Resource Centers. Quantitative data was analysed by using descriptive statistics and qualitative data was transcribed and labelled into emerging themes. A triangulation technique was used to establish the findings of this study. The findings of this study revealed that the present practice of learning and teaching science is mostly teacher centred with little active pupil participation, limited opportunity for hands on activity and discussion. The major barriers for teachers' to teach science effectively were large class sizes, insufficient materials, lack of teacher's knowledge and skills, absence of assessment for learning strategies, inadequate opportunities for professional development and poor quality of support from the stakeholders. The current DPEd program has consist of limited focus on hands of activities, insufficient learning assessment capacity of the PTI instructors, and a lack of teacher monitoring in placement schools during training. The basic recommendation suggested by this research is to enhance the use of an inquiry oriented science learning and teaching approach with associated assessment for learning strategies for ensuring the quality of science learning and teaching. For preparing a better quality teacher, ensuring subject based training and to review the current teacher training program is further suggested. The result of this study can be used for future development of science learning and teaching practice at elementary level in Bangladesh and similar other developing countries.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7875827PMC
http://dx.doi.org/10.1016/j.heliyon.2021.e06050DOI Listing

Publication Analysis

Top Keywords

learning teaching
20
science teaching
12
dped program
12
science learning
12
learning
9
science
9
primary science
8
teaching
8
role dped
8
practice learning
8

Similar Publications

Large Language Models in Worldwide Medical Exams: Platform Development and Comprehensive Analysis.

J Med Internet Res

December 2024

Joint Laboratory of Artificial Intelligence for Critical Care Medicine, Department of Critical Care Medicine and Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, China.

Background: Large language models (LLMs) are increasingly integrated into medical education, with transformative potential for learning and assessment. However, their performance across diverse medical exams globally has remained underexplored.

Objective: This study aims to introduce MedExamLLM, a comprehensive platform designed to systematically evaluate the performance of LLMs on medical exams worldwide.

View Article and Find Full Text PDF

Background/objectives: Calculating the radiation dose from CT in F-PET/CT examinations poses a significant challenge. The objective of this study is to develop a deep learning-based automated program that standardizes the measurement of radiation doses.

Methods: The torso CT was segmented into six distinct regions using TotalSegmentator.

View Article and Find Full Text PDF

Feasibility of Mental Health Triage Call Priority Prediction Using Machine Learning.

Nurs Rep

December 2024

Mental Health and Specialist Services, West Moreton Health, Brisbane, QLD 4076, Australia.

Background: Optimum efficiency and responsiveness to callers of mental health helplines can only be achieved if call priority is accurately identified. Currently, call operators making a triage assessment rely heavily on their clinical judgment and experience. Due to the significant morbidity and mortality associated with mental illness, there is an urgent need to identify callers to helplines who have a high level of distress and need to be seen by a clinician who can offer interventions for treatment.

View Article and Find Full Text PDF

Background/objectives: The projected increase from 58 million older adults in 2022 to 82 million by 2050 in the United States highlights the urgency of preparing nursing students to care for this aging population. However, studies reveal negative attitudes among nursing students toward older adults. A three-phased educational intervention that included an artificial intelligence (AI)-driven virtual simulation was implemented to address this.

View Article and Find Full Text PDF

Introduction: Traumatic dental injuries (TDIs) present a significant challenge for healthcare professionals. Nurses, often the first point of contact for patients, may lack essential knowledge in dental trauma first aid, as noted in the existing literature.

Objective: To assess the knowledge of traumatic dental injuries (TDIs) among undergraduate nursing students before and after a targeted educational intervention.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!