Changes in Student Motivation During Online Learning

Kim, Kyong‐Jee; Frick, Theodore W.

doi:10.2190/ec.44.1.a

Cited by 260 publications

(233 citation statements)

References 33 publications

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“…Alternatives to face-to-face training, particularly in rural and remote communities must be sought in order to train workforces constrained by financial burden as well as physical barriers. 9 With the pressure to reduce costs, increase access and improve the efficiency and technical content of training, technology is now being utilised to provide learning solutions. While the concept of online learning is not new, as technologies become more sophisticated, so do the modalities employed.…”

Section: Introductionmentioning

confidence: 99%

“…Blended learning retains some of the lower cost of computer-based training but circumvents some of the identified constraints; in particular it provides context for local problems in the face-to-face or more personalised component of a course. 9 As with students in higher education, health staff who participate in this type of learning for continued professional development are able to control their own learning outcomes whilst also engaging with mentors who can augment the learning process through direct support and supervision. 16 Instructors are also better able to exploit the relative advantages of both the e-learning and face-to-face components.…”

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confidence: 99%

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Let’s Take it to the Clouds: The Potential of Educational Innovations, Including Blended Learning, for Capacity Building in Developing Countries

Marrinan

Firth

Hipgrave

et al. 2015

Int J Health Policy Manag

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In modern decentralised health systems, district and local managers are increasingly responsible for financing, managing, and delivering healthcare. However, their lack of adequate skills and competencies are a critical barrier to improved performance of health systems. Given the financial and human resource, constraints of relying on traditional face-to-face training to upskill a large and dispersed number of health managers, governments, and donors must look to exploit advances in the education sector. In recent years, education providers around the world have been experimenting with blended learning; that is, amalgamating traditional face-to-face education with web-based learning to reduce costs and enrol larger numbers of students. Access to improved information and communication technology (ICT) has been the major catalyst for such pedagogical innovations. We argue that with many developing countries already improving their ICT systems, the question is not whether but how to employ technology to facilitate the continuous professional development of district and local health managers in decentralised settings. Keywords: Blended Learning, Decentralisation, Low-and Middle-Income Countries (LMICs), Education, Health Managers Copyright: © 2015 by Kerman University of Medical Sciences Citation: Marrinan H, Firth S, Hipgrave D, Jimenez-Soto E. Let's take it to the clouds: the potential of educational innovations, including blended learning, for capacity building in developing countries.

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Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

Let’s Take it to the Clouds: The Potential of Educational Innovations, Including Blended Learning, for Capacity Building in Developing Countries

Marrinan

Firth

Hipgrave

et al. 2015

Int J Health Policy Manag

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“…Previous research suggests that motivation plays an important role in learning (Keeley et al 2008;Song & Keller, 2001) and e-learning (e.g., Kim & Frick, 2011). The objective of our study was to find plausible strategies for the adaptation of task difficulty, given learners' current motivations.…”

Section: The Present Studymentioning

confidence: 96%

Towards motivation-based adaptation of difficulty in e-learning programs

Endler¹,

Rey

Butz

2012

AJET

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The objective of this study was to investigate if an e-learning environment may use measurements of the user's current motivation to adapt the level of task difficulty for more effective learning. In the reported study, motivation-based adaptation was applied randomly to collect a wide range of data for different adaptations in a variety of motivational states. This data was then utilised to extract rules for an adequate motivation-based adaptation to maximise expected learning success. A learning classifier system was used for the data analysis, generating rules for suitable and unsuitable adaptations based on current user motivation data. We extracted a set of twelve rules which suggest particular adaptation strategies based on real-world data. These rules could generally be embedded into existing psychological theories, namely the Zone of Proximal Development and the Yerkes-Dodson Law. In future research, we intend to evaluate these rules on further studies and develop concrete sets of adaptation strategies based on user motivation measurements. IntroductionE-learning is a large part of the current educational process. A growing number of educational institutions utilise e-learning, such as learning games suitable to teach a particular (small) topic, online language courses, and even entire university programs using virtual classrooms. Some of these e-learning environments, free and commercial, are used in real instructional settings. Self-study language programs are a well-known example. However, most of these instructional systems still employ a 'one-size-fits-all' philosophy, where every learner, irrespective of their individual abilities and needs, is presented with the same content in the same way (e.g., Rey, 2009). Although these learning environments may help students to learn, adapting e-learning environments to the individual needs of each student may help learners reach their learning goal even more quickly and effectively (e.g., Chen, Lee & Chen, 2005;Shute & Towle, 2003).These adaptive e-learning environments have been researched for quite a while. According to Mödritscher, Garcia-Barrios and Gütl (2004), the macro-adaptive approach, which allows the adaptation of some main components, can be traced back to the 1970s. Current developments in the field of computer science make it possible to 1120 Australasian Journal of Educational Technology, 2012, 28(7) build and thoroughly test ever more complex learning environments, which may take even more adaptation criteria into account. One of these criteria is the learner's current motivation.Motivation is an internal condition that activates, energises, and directs behaviour. It has been shown to correlate with learning performance in several studies. Schiefele, Krapp and Winteler (1992) concluded from a meta-analysis that measured interest can predict school achievement. Using a program that teaches tenth-grade students genetics, Song and Keller (2001) showed that a motivationally adaptive strategy promised a significantly higher performance and effi...

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“…The majority of the scale items were adopted from prior works of e-learning literature but modified slightly for our research context. Those items regarding e-learning self-efficacy were integrated and adapted from Garavan et al (2010), Kim and Frick (2011) Once the item list for the initial questionnaire was generated, an iterative personal interview process was conducted to refine the draft instrument. These interviews enabled the researcher to gauge the clarity of the tasks, assess whether the instrument captured the desired phenomena, and verify that important aspects have not been omitted.…”

Section: Instrument Developmentmentioning

confidence: 99%

Examining Factors Influencing Technical-Vocational University Students’ Learning Effectiveness of English Proficiency Development in a Blended e-Learning Environment

Lin¹,

Li²

2017

ijhrs

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Based upon the perspective of social cognitive theory, this study develops a conceptual framework that examines the antecedents of technical-vocational university students' active participation and learning effectiveness of English proficiency development in a blended e-learning (BEL) environment. A BEL system was employed to support technical-vocational university students' English proficiency development. The research model is tested using a questionnaire survey of 298 participants. Confirmatory factor analysis was performed to test the reliability and validity of the measurements. The partial least squares method was used to validate the measurement and hypotheses. The empirical results indicate that e-learning self-efficacy, social influence and BEL system characteristics are the primary antecedents of students' active participation in a BEL environment. The results also show that e-learning self-efficacy, student active participation and BEL system characteristics saliently affect technical-vocational university students' learning effectiveness of English proficiency ISSN 2162-3058 2017 development. The findings signify that technical-vocational university students show positive incline towards the active participation in BEL for English as a foreign language (EFL) courses and exposed a possible benefit of English proficiency development from its use in the long run. The results can not only proffer instrumental suggestions for the critical research issue of e-learning, but also may serve as instrumental guidelines for a BEL environment to be effective implemented with care to avoid the risk to weaken student's interests and activations in English proficiency development in BEL. International Journal of Human Resource Studies

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Changes in Student Motivation During Online Learning

Cited by 260 publications

References 33 publications

Let’s Take it to the Clouds: The Potential of Educational Innovations, Including Blended Learning, for Capacity Building in Developing Countries

Let’s Take it to the Clouds: The Potential of Educational Innovations, Including Blended Learning, for Capacity Building in Developing Countries

Towards motivation-based adaptation of difficulty in e-learning programs

Examining Factors Influencing Technical-Vocational University Students’ Learning Effectiveness of English Proficiency Development in a Blended e-Learning Environment

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