Background: A blended learning environment is multifaceted and widely used in medical education. However, there is no validated instrument for exploring students' learning in a blended learning environment in medical programs. This study aimed to develop and validate an instrument for exploring how medical students learn in an undergraduate medical program that employs a blended learning approach.

Method: Using Artino's seven step approach, we developed a questionnaire to investigate how medical students learn in a blended learning environment. For pilot testing, 120 students completed this 19-item questionnaire. These 19-items were evaluated for construct and convergent validity across an expert medical education panel. Further item testing was analysed with principal component analysis (PCA) with varimax rotation for item reduction and factor estimation. Hence, validity was thoroughly addressed to ensure the questionnaire was representative of the key focus questions. Cronbach's Alpha was used for item reliability testing, and Spearman's Rho was used for the correlation between the questionnaire items and the extensively used MSLQ. Hence, validity and reliability were systematically addressed.

Results: Exploratory Factor analysis identified four factors F1 and F3: Resources: Accessibility & Guidance (14-items), F2: Learning behaviours: Social and Contextual (5-items), and F4: Motivational factors: Intrinsic and Extrinsic Motivation (4-items). Internal consistency and reliability tests were satisfactory (Cronbach's Alpha ranged from 0.764 to 0.770).

Conclusions: The resulting Blended Learning Questionnaire (BLQ) was determined to be a reliable instrument to explore undergraduate medical students' learning in a blended learning environment.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8722320PMC
http://dx.doi.org/10.1186/s12909-021-03045-4DOI Listing

Publication Analysis

Top Keywords

blended learning
28
learning environment
20
students' learning
12
learning blended
12
learning
11
medical
8
medical students'
8
medical education
8
instrument exploring
8
medical students
8

Similar Publications

Development of an Analytical Model for Predicting the Shear Viscosity of Polypropylene Compounds.

Polymers (Basel)

January 2025

Institute for Plastics Processing (IKV) in Industry and Craft, RWTH Aachen University, Seffenter Weg 201, 52074 Aachen, Germany.

The need for an efficient adaptation of existing polypropylene (PP) formulations or the creation of new formulations has become increasingly important in various industries. Variations in viscosity resulting from changes in raw materials, fillers, and additives can have a significant impact on the processing and quality of PP products. This study presents the development of an analytical model designed to predict the shear viscosity of complex PP blends.

View Article and Find Full Text PDF

Beet crops are highly vulnerable to pest infestations throughout their growth cycle, which significantly affects crop development and yield. Timely and accurate pest identification is crucial for implementing effective control measures. Current pest detection tasks face two primary challenges: first, pests frequently blend into their environment due to similar colors, making it difficult to capture distinguishing features in the field; second, pest images exhibit scale variations under different viewing angles, lighting conditions, and distances, which complicates the detection process.

View Article and Find Full Text PDF

: Oral diseases such as caries, gingivitis, and periodontitis are highly prevalent worldwide and often arise from plaque. This study focuses on detecting three plaque stages-new, mature, and over-mature-using state-of-the-art YOLO architectures to enhance early intervention and reduce reliance on manual visual assessments. : We compiled a dataset of 531 RGB images from 177 individuals, captured via multiple mobile devices.

View Article and Find Full Text PDF

Background: There exists no standardized longitudinal curriculum for teaching bedside ultrasonography (US) in Pulmonary and Critical Care Medicine (PCCM) fellowship programs. Given the importance of mastering bedside US in clinical practice, we developed an integrated year-long US curriculum for first-year PCCM fellows.

Methods: 11 first-year PCCM fellows completed the entire seven-step Blended Learning Curriculum.

View Article and Find Full Text PDF

The new maintenance engineers become self-taught and learn from daily dedication, from solving repetitive problems, from exchanging experiences with a colleague, from reading a recommended book and little else. Their own experience has been the main reference for maintenance professionals who have not given up and have become experts. And within the maintenance activities, sanitary engineering plays a very important role.

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!