Improving online learning: Student perceptions of useful and challenging characteristics

Song, Liyan; Singleton, Ernise; Hill, Janette R.; Koh, Myung Hwa

doi:10.1016/j.iheduc.2003.11.003

Cited by 797 publications

(609 citation statements)

References 12 publications

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“…Studies have indicated that online learning enables institutions and/or instructors to reach new learners at a distance, increase convenience, and expand educational opportunities (Bourne, McMaster, Rieger, & Campbell, 1997;Hara & Kling, 2000;Hill, 2002;Hofmann, 2002;Owston, 1997;Rourke, 2001;Schrum, 2000;Song et al, 2004).…”

Section: Advantages Of Online Educationmentioning

confidence: 99%

The reciprocal and correlative relationship between learning culture and online education: A case from Saudi Arabia

Hamdan¹

2014

IRRODL

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Section: Advantages Of Online Educationmentioning

confidence: 99%

The reciprocal and correlative relationship between learning culture and online education: A case from Saudi Arabia

Hamdan¹

2014

IRRODL

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“…Most learners in a survey of university students in the USA (Song, et al, 2004) perceived that the success of elearning depends on learner motivation, course design, time management and level of ease with internet technology.…”

Section: B Student Perceptions and Influencing Variablesmentioning

confidence: 99%

ESL Student Perceptions of VLE Effectiveness at a University in South Korea

Robinson

Basco

Mathews

et al. 2017

JLTR

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Abstract-The purpose of this study is to determine students' perception of the advantages, effects on language skills, suggestions for improvement, and limitations regarding the use of a VLE (Blackboard) and their differences according to gender, year, number of Blackboard courses taken, and computer literacy. The respondents of this study were 686 randomly selected university students enrolled in English classes at the University of Suwon in South Korea. An adapted survey questionnaire consisting of 33 items was administered to the students. The Mean was used to determine the students' perceptions in the four areas followed by t-test and ANOVA to determine the differences in the students' perceptions. The results showed that the students had a somewhat disagree rating in the areas of Advantages, Language, and Limitations and somewhat agree rating in the area of Suggestions. Significant differences were found in the students' perceptions in the four areas when grouped according to gender and computer literacy; a significant difference was found in the area of Limitations when grouped according to year; and no significant differences were found according to number of Blackboard courses taken.

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“…Via technology, learners from different regions gather together in the virtual learning community and establish their formal or informal groups. Singleton, Hill, and Koh, 2003), the advantages of online learning become increasingly obvious: extensibility, availability, faster speed, lower price, etc. Communication and interaction between online members results in the improvement of the knowledge of each participant in the community and contributes to the development of the knowledge within the domain.…”

Section: Virtual Learning Communities and Forumsmentioning

confidence: 99%

Members’ Behavior in Virtual Learning Community: A Study Using Data Mining Approach

Li¹,

Nie²,

Chen³

et al. 2014

CIS

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Purpose: With the development of information technology, online virtual learning community is on its way to become an important approach for people to construction and sharing of knowledge. Researches on virtual learning community are not only important to the establishment and management of virtual learning community itself, but are helpful for people's quest for the future development of online learning. However, current researches related to the virtual learning community are in inadequacy, and especially the application of quantitative analysis method for research is rarely seen. Using quantitative analysis method of data mining to study members' behavior in online learning communities. Method: In this article, the discussion data (posts) from five online English virtual learning communities in China are sampled and colleted. These data were processed according to a series of guidelines to obtain proper data documents, and these data documents were opened under Waikato Environment for Knowledge Analysis and then carried out preprocessing. Next, the module of association rule learning in Waikato Environment Knowledge Analysis were used to perform mining on these processed data, and obtained a series of potential behavior rules in these communities. The partial rules have been listed in the article with their meaning analyzed. Findings: The result shows that in this setting it is feasible to apply the association rule learning to virtual learning community. Value: It provides approaches and lays the foundation for future relevant studies.

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Improving online learning: Student perceptions of useful and challenging characteristics

Cited by 797 publications

References 12 publications

The reciprocal and correlative relationship between learning culture and online education: A case from Saudi Arabia

The reciprocal and correlative relationship between learning culture and online education: A case from Saudi Arabia

ESL Student Perceptions of VLE Effectiveness at a University in South Korea

Members’ Behavior in Virtual Learning Community: A Study Using Data Mining Approach

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