Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Martin Avagyan

dblp:217/9391 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Learning and educational technologies · 100%
Databases, data mining, and information retrieval
1 paper
Information retrieval · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Learning and educational technologies
language learning
0.312018
As We May Study: Towards the Web as a Personalized Language Textbook · CHI 2018
Information retrieval › web search
web information retrieval
0.112018
As We May Study: Towards the Web as a Personalized Language Textbook · CHI 2018

Methods — techniques the papers use, named apart from their topics

user study · 0.7system deployment · 0.7
YearPublicationVenuePosition
2018 As We May Study: Towards the Web as a Personalized Language Textbook
abstract
We present a system designed to enable learners of a foreign language to read materials that are personally interesting to them from the web and practice vocabulary with interactive exercises based on their past readings. We report on the results of deploying the system for one month with three classes of Dutch highschool students learning French. The students and their teacher were positive about the system and in particular about the personalization aspects that the system enables.
Mircea Lungu, Luc van den Brand, Dan Chirtoaca, Martin Avagyan
CHI4