Fostering personalized learning in science inquiry supported by mobile technologies

Song, Yanjie; Wong, Lung Hsiang; Looi, Chee-Kit

doi:10.1007/s11423-012-9245-6

Cited by 102 publications

(93 citation statements)

References 33 publications

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“…These results agreed with previous studies showing that the students felt the learning system useful once they received meaningful learning activities according to their actuality of learning (Furo, 2014;Kularbphettong et al, 2015;Lin et al, 2013). While Chookaew et al (2014), Hsu et al (2013), andSong et al (2012) reported that students' personality (e.g. age, gender, and learning preference) could be in consideration when providing the instruction.…”

Section: Discussionmentioning

confidence: 99%

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A proposal to develop a guided-inquiry mobile learning with a mastery learning mechanism for improving students' learning performance and attitudes in Physics

Wongwatkit

Panjaburee

Srisawasdi

2017

IJMLO

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Abstract:With the benefits of personalised learning environment in providing individual learning guidance and of guided-inquiry approach for driving students to inquire knowledge in procedural way, this study developed a personalised learning support system, which was based on conceptual learning problems, learning styles, and current understanding information, to provide guided-inquiry learning activities for individual students. The effects of the developed system on secondary school students Physics learning performance and learning attitudes were investigated. It was found that the students significantly outperformed on the developed system and their learning attitudes were positive. While, they showed the need of learning Physics in real context by basing on the developed system. In light of the aforesaid, this paper extends the proposed instructional strategy and addresses the application proposal by using the mobile device through authentic Physics laboratory activities. Keywords: mastery learning; mobile learning; personalised learning environment; guided inquiry; science education; online adaptive learning; interactive learning environment; learning style; conceptual learning suggestion; learning diagnostics.Reference to this paper should be made as follows: Wongwatkit, C., Panjaburee, P. and Srisawasdi, N. (2017) 'A proposal to develop a guidedinquiry mobile learning with a mastery learning mechanism for improving students' learning performance and attitudes in Physics', Int. J. Mobile Learning and Organisation, Vol. 11

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Section: Discussionmentioning

confidence: 99%

“…In personalised learning support system, individual students are provided learning guidance adapted upon their personalities (Martinez, 2001;Song et al, 2012). This makes their learning more relevant and meaningful.…”

Section: Mastery Learning and Personalised Learning Support Systemmentioning

confidence: 99%

A proposal to develop a guided-inquiry mobile learning with a mastery learning mechanism for improving students' learning performance and attitudes in Physics

Wongwatkit

Panjaburee

Srisawasdi

2017

IJMLO

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“…In general we can see that the landscape is changing in favour to a more gamified and informal approach. Moreover, from our analysis we can observe a general shift from being instructor-centred to being student-centred [7] but also from being learning-driven to technology-driven [67,82]. This last shift needs to be however carefully managed to maintain the learner at the centre and to avoid that technology becomes the fulcrum of the learning experience.…”

Section: The Use Of Learning Terms Over Timementioning

confidence: 99%

“…[ [78][79][80][81][82][83] Problem-based learning "A student-centred approach to learning which enables the students to work cooperatively in small groups for seeking solutions to situations/problems" [84]. "Problem based learning is an educational strategy.…”

Section: Eai Endorsed Transactionsmentioning

confidence: 99%

Reimagine E-learning: a proposal for a 21st learning framework

Caporarello¹,

Giovanazzi²,

Manzoni³

2017

EAI Endorsed Transactions on e-Learning

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“…Research has established the effectiveness of smartphones as mobile education devices (Song et al 2012) and has proposed the use of smartphones in disaster communication (Meltzer et al 2015;Riddell et al 2011) and as decision support tools in building energy conservation strategies (Leslie 2012). The personalized risk and vulnerability assessment of ResRe requires an engineering-based loss model to establish the relationship between wind speed and expected monetary losses for a given residential structure type.…”

Section: Development Of a Mobile Applicationmentioning

confidence: 99%

A vulnerability assessment tool for residential structures and extreme wind events

Smith¹,

Roueche²,

Thompson³

et al. 2015

Proceedings of the Second International Conference on Performance-Based and Life-Cycle Structural Engineering (PLSE 2015)

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Studies of hurricane damage to residential buildings confirm that the risk of wind and/or water damage related losses can be mitigated via retrofit solutions. However, adoption of appropriate retrofits by homeowners has been limited despite its obvious benefits. For several reasons, including high cost of retrofitting, the practical difficulty of implementing upgrades, and other homeowner priorities, the level of structural retrofits remain low. This paper proposes a performance-based design approach to retrofitting, targeted for residential homeowners (and their construction team) to advise on incremental retrofits that ultimately result in desired performance targets for windresistant houses. To specifically engage the homeowner, a user-friendly smartphone application is developed that evaluates the wind resistance and vulnerability of existing homes. The app provides each homeowner an individualized vulnerability assessment, while engaging and educating them on the effects of structural systems and building characteristics on damage and on the options for retrofits and costs associated with the work. The vulnerability assessment is determined using a database of fragility curves, developed originally for the FEMA's HAZUS-MH program, and adapted for this use. The analysis yields the top three recommended retrofits for each house as-is, and its expected hurricane-induced economic losses compared against the predicted loss if all the retrofits were conducted. Beta trials of the mobile app will be conducted in at-risk coastal communities in Florida, USA. The authors suggest that direct engagement of homeowners in identifying wind mitigation techniques and solutions may yield more positive outcomes than traditional communication approach and it may eventually increase the number of building retrofits.

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Fostering personalized learning in science inquiry supported by mobile technologies

Cited by 102 publications

References 33 publications

A proposal to develop a guided-inquiry mobile learning with a mastery learning mechanism for improving students' learning performance and attitudes in Physics

A proposal to develop a guided-inquiry mobile learning with a mastery learning mechanism for improving students' learning performance and attitudes in Physics

Reimagine E-learning: a proposal for a 21st learning framework

A vulnerability assessment tool for residential structures and extreme wind events

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