Trends in artificial intelligence-supported e-learning: A systematic review and co-citation network analysis (1998–2019)

KY Tang, CY Chang, GJ Hwang - Interactive Learning …, 2023 - Taylor & Francis
Artificial intelligence (AI) has been widely explored across the world over the past decades.
A particularly emerging topic is the application of AI in e-learning (AIeL) to improve the …

Research landscape of artificial intelligence and e-learning: a bibliometric research

K Jia, P Wang, Y Li, Z Chen, X Jiang, CL Lin… - Frontiers in …, 2022 - frontiersin.org
While an increasing number of organizations have introduced artificial intelligence as an
important facilitating tool for learning online, the application of artificial intelligence in e …

Multiple texts as a limiting factor in online learning: quantifying (dis-) similarities of knowledge networks

A Mehler, W Hemati, P Welke, M Konca… - Frontiers in education, 2020 - frontiersin.org
We test the hypothesis that the extent to which one obtains information on a given topic
through Wikipedia depends on the language in which it is consulted. Controlling the size …

Digital DLC Models as Instruments for Raising Awareness and Better Understanding of Current Multilingualism in HEI

L Moccozet, M Böckh - Language Awareness and Identity: Insights via …, 2023 - Springer
With globalisation, the stakeholders of the higher education sector are getting increasingly
mobile, which results in the linguistic diversity in the institutions. This situation imposes on …

MULTILINGUAL LABELS FOR DIGITAL PRESERVATION

K Thronton, K Seals-Nutt - iPRES 2023, 2023 - ideals.illinois.edu
We introduce a technique for finding multilingual translations for lists of words using
technologies of the Semantic Web. We present four subsets of data from Wikidata and …

Comparison of Top 100 Cited Research on Machine Learning and Deep Learning in The Last Twenty Years

Y Anistyasari, BK Prahani, MC Pristianti… - International Journal of …, 2023 - ijoerar.net
Objective: The aim is to compare the top 100 research related to machine learning (ML) and
deep learning (DL) during 2002-2021 using bibliometric analysis. Method: The data were …