Data mining for providing a personalized learning path in creativity: An application of decision trees

“…Personalized learning "Personalized learning aims to develop individualized learning programs for each student with the intent to engage him/her in the learning process to optimize each child's learning potential and success". [78].…”

Section: Eai Endorsed Transactionsmentioning

confidence: 99%

“…Online learning is also seen as a form of distance education where technology mediates the process [7]. E-learning often overlaps with most of the other learning terms here studied [1,30,78]. Finally, combinations occur with many terms.…”

Section: Shedding Light On Multiple Ways Of Learningmentioning

confidence: 99%

“…Problem-based learning is frequently addressed as a specific type of active learning [18], as well as projectbased learning [87]. With regard to e-learning specifically, the term is often combined with personalized learning [78], mobile learning [16], synchronous learning [16], online learning [30], distance learning [30], and asynchronous learning [1].…”

Section: Shedding Light On Multiple Ways Of Learningmentioning

confidence: 99%

See 1 more Smart Citation

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

Caporarello¹,

Giovanazzi²,

Manzoni³

2017

EAI Endorsed Transactions on e-Learning

View full text Add to dashboard Cite

show abstract

“…Either in real time or after the fact, you can use the log data to provide personalized paths and information to users. This is similar to "choose your own adventure" books, where researchers can customize the user experience based on user input or provide options to students based on their expressed or latent needs (Chen, 2008;Köck & Paramythis, 2011;Lin, Yeh, Hung, & Chang, 2013;Zorrilla, Menasalvas, Marín, Mora, & Segovia, 2005).…”

Section: Contributions Of Click-track Data With Educational Data Minimentioning

confidence: 99%

Exploring Methodologies for Utilizing Click-Track Data Using Educational Data Mining and Evidence Centered Design in Online Professional Development Environments

Uguz¹

View full text Add to dashboard Cite

The opportunities for delivering effective PD has dramatically increased with the recent growth of web application capabilities. However, our methodologies for making meaningful inferences about these digital learning environments have remained limited.This dissertation argues that valid measurements of research constructs in online PD environments require three components to be successful: 1) a methodology for reliably recording user behavior, 2) an assessment framework for building the connection between constructs and observable behavior and 3) a statistical analysis approach that provides post-hoc methodologies for recognizing patterns in the observable behavior. The first manuscript in this dissertation conducts a review of the literature on methods used in a sample of existing studies and suggests that a combination of click-track data as the methodology for recording user behavior, Evidence Centered Design (ECD) as the assessment framework and Educational Data Mining (EDM) as the statistical analysis approach has the potential to provide insights in online PD environments. The second manuscript uses EDM methodologies to investigate construct assumptions and user behavior patterns through click-track data. The third manuscript uses a combination of ECD and EDM methodologies to build a measure for evaluating teacher engagement in an online PD environment. The dissertation provides case studies for the use of these combined methodologies, which show promise as a viable strategy for researching and understanding online PD environments. Insights and limitations of using click-track data and directions for further research Domain Modeling For The Main Aspects of the Domain Analysis are also discussed.Curriculum,

show abstract

Data mining for providing a personalized learning path in creativity: An application of decision trees

Cited by 208 publications

References 48 publications

Internet and emerging technologies in education within the framework of a new cognitive horizon

Internet and emerging technologies in education within the framework of a new cognitive horizon

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

Exploring Methodologies for Utilizing Click-Track Data Using Educational Data Mining and Evidence Centered Design in Online Professional Development Environments

Contact Info

Product

Resources

About