An Indicator-Based Approach to Promote the Effectiveness of Teachers’ Interventions

Lekira, Aina; Després, Christophe; Jacoboni, Pierre; Py, Dominique

doi:10.1007/978-3-642-30950-2_67

Cited by 2 publications

(2 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In remote learning settings, tutors need to understand students' actions so as to efficiently adjust their tutoring strategy. Some studies addressed this problem by delivering tools that enable tutors to visualize multiple indicators about students' activities, including students' performances (Mazza & Dimitrova, 2007), curriculum and productions (Lekira et al, 2012), or learning styles (Bousbia et al, 2009). All these data reduce the time spent by tutors to analyse and react to students' actions and productions.…”

Section: The Learning Analytics Toolmentioning

confidence: 99%

Lab4CE: a Remote Laboratory for Computer Education

Broisin

Venant

Vidal

2015

Int J Artif Intell Educ

View full text Add to dashboard Cite

Remote practical activities have been demonstrated to be efficient when learners come to acquire inquiry skills. In computer science education, virtualization technologies are gaining popularity as this technological advance enables instructors to implement realistic practical learning activities, and learners to engage in authentic and problem-based learning. However, virtualization solutions have not been designed especially for education and do not address any pedagogical concern. Since several large-scale studies showed that instructional supports during practical activities are almost as important as technical features, this article investigates the following research question: how the scaffolding around the lab increases students' engagement in remote practical learning of computer science? To answer this question, we introduce the Lab4CE environment, a remote laboratory for computer education which adopts a distributed, modular and flexible architecture to integrate a set of scaffolding tools and services intended for instructors and learners. An exploratory study conducted with 139 undergraduate students enrolled in the first year of a computer science degree suggests a positive effect of the framework on learners' engagement when they come to practice system administration, and reveals a significant positive correlation between students' activity within the system and students' learning achievement.

show abstract

Section: The Learning Analytics Toolmentioning

confidence: 99%

Lab4CE: a Remote Laboratory for Computer Education

Broisin

Venant

Vidal

2015

Int J Artif Intell Educ

View full text Add to dashboard Cite

show abstract

“…There are some researches that have made different classifications of the roles that the tutor can perform in an e-learning environment (Garrot, George, &Prévôt, 2009;Teutsch, Bourdet, &Gueye, 2004;Winograd, 2003). These classifications are made according to the tutors' functions (Garrot, 2008;Rodet, 2008;Lafifi et al, 2010;Lekira et al, 2012;McPherson and Nunes, 2004). We mention that several denominations are used for the same role.…”

Section: Introductionmentioning

confidence: 99%

Automatic Detection of Tutoring Styles Based on Tutors' Behavior

Bendjebar

Lafifi

Zedadra

2016

International Journal of Distance Education Technologies

View full text Add to dashboard Cite

In e-learning systems, tutors have a significant impact on learners' life to increase their knowledge level and to make the learning process more effective. They are characterized by different features. Therefore, identifying tutoring styles is a critical step in understanding the preference of tutors on how to organize and help the learners. In this context, the authors address the problem of extracting tutoring styles from tutors' behavior. According to this later, tutors are classified automatically into their styles. This technique will be helpful to provide a suitable advice to learners. In the first step, a set of indicators are defined to characterize a tutoring style. In the second one, the accuracy between the tutoring styles obtained from the proposed approach and those defined from a simple questionnaire is investigated. To validate this approach, the authors have collected data from an on line tutoring system (LETline, http://www.labstic.com/letline). They present the results of their analysis and discuss some limitations that can be helpful to the researchers working in the tutoring field.

show abstract

An Indicator-Based Approach to Promote the Effectiveness of Teachers’ Interventions

Cited by 2 publications

References 4 publications

Lab4CE: a Remote Laboratory for Computer Education

Lab4CE: a Remote Laboratory for Computer Education

Automatic Detection of Tutoring Styles Based on Tutors' Behavior

Contact Info

Product

Resources

About