Student-content interactions: Exploring behavioural engagement with self-regulated inquiry-based online learning modules

Mamun, Md Abdullah Al; Lawrie, Gwendolyn

doi:10.1186/s40561-022-00221-x

Cited by 34 publications

(16 citation statements)

References 115 publications

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“…The next three domains are interlinked and emphasis on the need to have curated content leading to cognitive enhancement via effective cybergogical practices in online platforms. The content remains one of the important interactions with the students in the online learning environments [44]. However, with the introduction of open educational resources, content is hereby proposed to be 'curated' instead of being made from scratch as discussed by the Experts in Content Validity phase [45].…”

Section: Discussionmentioning

confidence: 99%

Development and validation of Digi-MEE Instrument measuringonline learning environments in medical education

Naeem¹,

Hadie

Ismail

et al. 2023

Preprint

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Background Despite the widely acknowledged uses of technology-enhanced learning in medical education, the evaluation approach for these online learning environments specific to medical education are limited. Identifying online learning environment key components for medical education may provide an opportunity to address this gap. This study aimed to develop and validate Digital Medical Education Environment (Digi-MEE) Instrument that measures the online learning environment in medical education.Methods Questionnaire development and validation studies were conducted involving 726 participants in total. Components and items of online learning environments were generated and identified through a scoping review and a modified e-Delphi study. A panel of selected content experts carried out content validation leading to calculation of content validity index (CVI). A group of medical students performed face validation leading to determination of face validity index (FVI).This validation process was followed by exploratory factor analysis, confirmatory factor analysis and assessment of reliability to determine Digi-MEE’s factorial structure and internal consistency.Results A total of 15 experts reviewed nine components with 73 items of Digi-MEE to appraise its content validity. As a result, 26 items were removed, and 17 items were revised that led to Digi-MEE 2.0 with 47 items. The S-CVI/Ave was 0.98. Following response process validation, the number of items were reduced to 46, S-FVI/Ave of the Digi-MEE 3.0 was 0.87. Exploratory factor analysis yielded 46 items within nine components and depicted 57.18% variance. After confirmatory factor analysis, the final version of Digi-MEE contained 28 items within nine components. All goodness of fit indices achieved acceptable level. The overall Cronbach alpha of the final Digi-MEE was more than 0.90, while for the nine constructs ranged in between 0.62 and 0.76.Conclusion This study proposed a promising valid and reliable instrument, Digi-MEE, to evaluate online education environment in medical education. The content, response process, factorial structure and internal consistency evidence support the validity of Digi-MEE. Medical schools can use Digi-MEE as an evaluation tool for the continuous quality improvement of online learning environments.

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Section: Discussionmentioning

confidence: 99%

Development and validation of Digi-MEE Instrument measuringonline learning environments in medical education

Naeem¹,

Hadie

Ismail

et al. 2023

Preprint

View full text Add to dashboard Cite

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“…Al Mamun & Lawrie (2023) mention that technological innovations and changing learning environments affect student engagement more than ever before. They also state that the structure of student behavioural engagement in online environments need to be carefully examined to determine how to achieve better student learning goals.…”

Section: Statement Of Problemmentioning

confidence: 99%

Self- regulated Learners: What Drives Them?

Sim¹,

Siok²,

Shuang³

et al. 2023

IJARBSS

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In an online environment, students can learn independently and flexibly. Motivation and emotional control are the critical factors that influence learning. Therefore, applying selfregulation learning strategies may assist students to remain proactive in the online learning environment. Self-regulation is a holistic learning strategy to understand how students regulate their learning from the perspectives of cognitive, metacognitive, behavioural, motivational and emotional or affective. This study aimed to examine how motivation beliefs and self-regulation learning strategies affect learning, and the relationships between motivation beliefs and self-regulation learning strategies. A sample of 155 students obtained by purposive sampling from a university in Malaysia participated in this quantitative study. The study used a questionnaire with five-point Likert scales as the instrument. The results indicated that students sometimes had self-efficacy and very often had the intrinsic value online language learning environment, but they very often had test anxiety. Besides, they very often used cognitive strategies to facilitate their learning, but sometimes applied selfregulation in the online language learning environment There was a significantly strong relationship between motivation beliefs and self-regulation learning. The outcomes of the survey suggest that the instructor might redesign the instruction and assist students in selfregulation learning process.

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“…The growth rate of trees varies under different climatic conditions, leading to differences in the appearance and texture of different woods, which affects the final appearance of furniture. The climatic conditions also affect the style of architecture, which contributes to the regional formation of furniture [7].…”

Section: Introductionmentioning

confidence: 99%

Exploring the Implementation of Multimedia Technology in Contemporary Home Product Design for Regional Culture Inheritance and Innovation

Sheng

2023

Int. J. Appl. Inf. Manag.

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In recent years, the design market in China for household products has seen a surge in scale and speed. This shift has taken place from a decoration market to a design market. There is now a wide range of styles available for modern home product designs, with Western design styles becoming increasingly popular. However, it has been noticed that some domestic designers have followed the principles of modernism, minimalism, and high-techism, and this has resulted in many designs being created by simple copying of computer-generated designs, without much thought. This approach has led to the loss of the individuality of modern home product design styles. A modern household product design with an elegant taste and extraordinary style is not solely dependent on how much money is spent and how many high-grade decorative materials are used. It is important to combine regional culture with the appropriate use of the elements of modern household product design. It is also essential to create a fully functional, beautiful, generous, and elegant style for indoor environments with limited room space. Regional modern household product design refers to the combination of the local natural environment and cultural environment. It emphasizes local characteristics and national style, and the nationalization of modern household product design and creation tendency. In the design process, local materials and practices should be used as much as possible to display the characteristics of local conditions and merge the overall style with the local environment. To achieve this goal, it is essential to consider the region fully. Regional modern household product design can create a unique and individual design style. The use of local materials and practices will enable the design to reflect the characteristics of the local environment, resulting in a cohesive style. The use of regional culture and local elements will make the design more attractive to potential customers. Therefore, it is necessary to focus on creating a unique style of modern household product design, which combines regional culture with modern design elements.

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Student-content interactions: Exploring behavioural engagement with self-regulated inquiry-based online learning modules

Cited by 34 publications

References 115 publications

Development and validation of Digi-MEE Instrument measuringonline learning environments in medical education

Development and validation of Digi-MEE Instrument measuringonline learning environments in medical education

Self- regulated Learners: What Drives Them?

Exploring the Implementation of Multimedia Technology in Contemporary Home Product Design for Regional Culture Inheritance and Innovation

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