Learning Analytics Framework for Adaptive E-learning System to Monitor the Learner’s Activities

Janati, Salma El; Maach, Abdelilah; Ghanami, Driss El

doi:10.14569/ijacsa.2019.0100835

Cited by 7 publications

(3 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Third, as a data science application. Combined learning analytical models focus on student models in learning activities to adapt the student experience individually (Janati et al, 2019). However, many unresolved problems make it difficult for teachers to obtain appropriate information about student behaviour.…”

Section: Personalised Learning Analytics In Self-regulated Learningmentioning

confidence: 99%

“…Learning problems in education in the New Normal involve the potential of students to lose control in their learning tasks that require students to play an essential role in self-learning (Janati et al, 2019). These problems are related to the different backgrounds, abilities and tendencies of each student, which can lead to learning resource constraints and a lack of learning motivation (Corrin et al, 2016;Haron, 2018) If not detected from the beginning and addressed systematically, the problem of losing the focus of learning will endanger more severe issues.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Designing and Incorporating Personalized Learning Analytics: Examining Self-Regulated Meaningful Learning

Zainuddin¹,

Judi²

2021

IJARBSS

View full text Add to dashboard Cite

Education in the normal era post-pandemic implements flexible learning to allow students to choose learning places and steps by integrating students and technology to enable new possibilities aimed at effective learning. However, students encounter tremendous challenges of losing learning focus for not giving the necessary commitment or enough attention to deal with learning tasks. This learning problem may create a severe issue if not detected from the beginning and addressed systematically. Learning analytics can monitor learning progress and identify the learning problems of individual students. Several previous studies focus on the analytical framework of learning, but attention to meaningful learning and the development of problem-solving skills is still insufficient. This paper aims to propose a self-regulated meaningful analytic learning framework that promotes problem-solving skills. The framework aims to guide educators and administrators in the new normal in implementing personalised learning analytics in self-regulated meaningful learning. The employment of meaningful learning strategies supported by learning analytics help students prepare the skills needed to match their individual needs.

show abstract

Section: Personalised Learning Analytics In Self-regulated Learningmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Designing and Incorporating Personalized Learning Analytics: Examining Self-Regulated Meaningful Learning

Zainuddin¹,

Judi²

2021

IJARBSS

View full text Add to dashboard Cite

show abstract

“…With the rapid evolution of the IT field and the continuous updating of available tools. Learners must undergo continuous trainings in order to improve their skills and ensure technological monitoring [1]. Indeed, training has been strongly affected by the digital transformation.…”

Section: Introductionmentioning

confidence: 99%