Evaluating recommender systems for technology enhanced learning: a quantitative survey
The increasing number of publications on recommender systems for Technology Enhanced
Learning (TEL) evidence a growing interest in their development and deployment. In order …
Learning (TEL) evidence a growing interest in their development and deployment. In order …
Effects of automated interventions in programming assignments: evidence from a field experiment
A typical problem in MOOCs is the missing opportunity for course conductors to individually
support students in overcoming their problems and misconceptions. This paper presents the …
support students in overcoming their problems and misconceptions. This paper presents the …
Editor's comments: the business of business data science in IS journals
M Saar-Tsechansky - 2015 - JSTOR
Data science is at the core of a host of ongoing business transformations and disruptive
technologies. The application of data science methods to new and old business problems …
technologies. The application of data science methods to new and old business problems …
Second language acquisition modeling: An ensemble approach
A Osika, S Nilsson, A Sydorchuk, F Sahin… - ar** tools for online learning is learning through mobile
environment. Therefore, develo** and improving of mobile learning environment is an …
environment. Therefore, develo** and improving of mobile learning environment is an …
Multi-task learning for low-resource second language acquisition modeling
Second language acquisition (SLA) modeling is to predict whether second language
learners could correctly answer the questions according to what they have learned, which is …
learners could correctly answer the questions according to what they have learned, which is …
Investigation of Step Granularity for Adaptive Learning Strategies
J Cock - 2020 - diva-portal.org
Intelligent tutoring systems (ITS) are softwares attempting to emulate human tutors. They do
so by offering sequences of exercises for the students to train their newly-learnt skills, as …
so by offering sequences of exercises for the students to train their newly-learnt skills, as …
[CITACE][C] The digital turn in higher education
D Kergel - 2018 - Springer
Dynamic Student Embeddings for a Stable Time Dimension in Knowledge Tracing
C Tump - 2020 - diva-portal.org
Abstract Knowledge tracing is concerned with tracking a student's knowledge as she/he
engages with exercises in an (online) learning platform. A commonly used state-of-theart …
engages with exercises in an (online) learning platform. A commonly used state-of-theart …
[CITACE][C] Student intervention system using machine learning.
MY Boyajian - 2019