From unique educational perspectives, this article reports a comprehensive review of
selected empirical studies on artificial intelligence in education (AIEd) published in 1993 …

This survey is an updated and improved version of the previous one published in 2013 in
this journal with the title “data mining in education”. It reviews in a comprehensible and very …

We introduce DS-1000, a code generation benchmark with a thousand data science
problems spanning seven Python libraries, such as Numpy and Pandas. Compared to prior …

Considering the increasing importance of Artificial Intelligence in Education (AIEd) and the
absence of a comprehensive review on it, this research aims to conduct a comprehensive …

Abstract Self-Regulated Learning (SRL) is related to increased learning performance.
Scaffolding learners in their SRL activities in a computer-based learning environment can …

The potential influence of data mining analytics on the students' learning processes and
outcomes has been realized in higher education. Hence, a comprehensive review of …

Students' success has recently become a primary strategic objective for most institutions of
higher education. With budget cuts and increasing operational costs, academic institutions …

Developing digital competencies is a critical component of preservice teacher training.
However, this is a complex process which includes a range of different strategies. Moreover …

The use of artificial intelligence and machine learning techniques across all disciplines has
exploded in the past few years, with the ever-growing size of data and the changing needs …

We present a systematic literature review of the emerging field of visual learning analytics.
We review existing work in this field from two perspectives: First, we analyze existing …