Mihai Dascalu

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Stefan Trausan-MatuProf. Univ. Politehnica of Bucharest; Research Inst. for AI; Academy of Romanian ScientistsPatvirtintas el. paštas cs.pub.ro
Philippe DessusUniversité Grenoble Alpes, FrancePatvirtintas el. paštas univ-grenoble-alpes.fr
Danielle McNamaraArizona State UniversityPatvirtintas el. paštas asu.edu
Scott Andrew CrossleySpecial Education/Data Science Institute, Vanderbilt UniversityPatvirtintas el. paštas vanderbilt.edu
Stefan RusetiUniversity "Politehnica" of BucharestPatvirtintas el. paštas upb.ro
Traian RebedeaNVIDIA & Assoc Prof @ University Politehnica of BucharestPatvirtintas el. paštas nvidia.com
Nicolae NistorLudwig-Maximilians-Universität MünchenPatvirtintas el. paštas uni-muenchen.de
maryse biancoMaître de conférences, Université de GrenoblePatvirtintas el. paštas upmf-grenoble.fr
Gabriel Gutu-RobuUniversity Politehnica of BucharestPatvirtintas el. paštas upb.ro
Laura AllenUniversity of MinnesotaPatvirtintas el. paštas umn.edu
Aurélie NardyLaboratoire LIDILEM - Univ. Grenoble AlpesPatvirtintas el. paštas univ-grenoble-alpes.fr
Ciprian DobreUniversity Politehnica of Bucharest; ICI BucharestPatvirtintas el. paštas cs.pub.ro
Dorinela DascaluUniversity Politehnica of BucharestPatvirtintas el. paštas upb.ro
Ryan BakerUniversity of PennsylvaniaPatvirtintas el. paštas upenn.edu
Kristopher KyleAssistant Professor, Linguistics, University of OregonPatvirtintas el. paštas uoregon.edu
Valentin CristeaUniversity Politehnica of BucharestPatvirtintas el. paštas cs.pub.ro
Elvira PopescuProfessor, Computers and Information Technology Department, University of Craiova, RomaniaPatvirtintas el. paštas edu.ucv.ro
Jean-Philippe PerninProfessor of Computer Science, Grenoble UniversityPatvirtintas el. paštas imag.fr
María Jesús Rodríguez-TrianaAssociate Professor, Tallinn UniversityPatvirtintas el. paštas tlu.ee
Luc PaquetteAssociate Professor, University of Illinois at Urbana-ChampaignPatvirtintas el. paštas illinois.edu

Stebėti

Mihai Dascalu

Professor, University Politehnica of Bucharest; Academy of Romanian Scientists

Patvirtintas el. paštas upb.ro

NLP Educational Data Mining Intelligent Tutoring Systems Discourse Analysis Academy of Romanian Scientists


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Combining click-stream data with NLP tools to better understand MOOC completion S Crossley, L Paquette, M Dascalu, DS McNamara, RS Baker Proceedings of the sixth international conference on learning analytics …, 2016	175	2016
Predicting text comprehension, processing, and familiarity in adult readers: New approaches to readability formulas SA Crossley, S Skalicky, M Dascalu, DS McNamara, K Kyle Discourse Processes 54 (5-6), 340-359, 2017	159	2017
Participation in virtual academic communities of practice under the influence of technology acceptance and community factors. A learning analytics application N Nistor, B Baltes, M Dascălu, D Mihăilă, G Smeaton, Ş Trăuşan-Matu Computers in Human Behavior 34, 339-344, 2014	140	2014
Analyzing Discourse and Text Complexity for Learning and Collaborating M Dascalu Studies in Computational Intelligence 534, 2014	139*	2014
ReaderBench: Automated evaluation of collaboration based on cohesion and dialogism M Dascalu, S Trausan-Matu, DS McNamara, P Dessus International journal of computer-supported collaborative learning 10, 395-423, 2015	101	2015
ReaderBench, an Environment for Analyzing Text Complexity and Reading Strategies M Dascalu, P Dessus, Ş Trausan-Matu, M Bianco, A Nardy Artificial Intelligence in Education: 16th International Conference, AIED …, 2013	95	2013
Mining Texts, Learner Productions and Strategies with ReaderBench M Dascalu, P Dessus, M Bianco, S Trausan-Matu, A Nardy Educational data mining: Applications and trends, 345-377, 2014	92	2014
PolyCAFe—automatic support for the polyphonic analysis of CSCL chats S Trausan-Matu, M Dascalu, T Rebedea International Journal of Computer-Supported Collaborative Learning 9, 127-156, 2014	85	2014
Cohesion network analysis of CSCL participation M Dascalu, DS McNamara, S Trausan-Matu, LK Allen Behavior Research Methods 50, 604-619, 2018	81	2018
The Tool for the Automatic Analysis of Cohesion 2.0: Integrating semantic similarity and text overlap SA Crossley, K Kyle, M Dascalu Behavior research methods 51, 14-27, 2019	78	2019
Moving beyond classic readability formulas: New methods and new models SA Crossley, S Skalicky, M Dascalu Journal of Research in Reading 42 (3-4), 541-561, 2019	65	2019
Natural language processing and learning analytics DS McNamara, L Allen, S Crossley, M Dascalu, CA Perret Handbook of learning analytics 93, 2017	50	2017
Before and during COVID-19: A Cohesion Network Analysis of students’ online participation in moodle courses MD Dascalu, S Ruseti, M Dascalu, DS McNamara, M Carabas, ... Computers in Human Behavior 121, 106780, 2021	49	2021
Textual complexity and discourse structure in Computer-Supported Collaborative Learning S Trausan-Matu, M Dascalu, P Dessus Intelligent Tutoring Systems: 11th International Conference, ITS 2012 …, 2012	49	2012
Artificial intelligence moving serious gaming: Presenting reusable game AI components W Westera, R Prada, S Mascarenhas, PA Santos, J Dias, M Guimarães, ... Education and Information Technologies 25, 351-380, 2020	46	2020
SENSE: A collaborative selfish node detection and incentive mechanism for opportunistic networks RI Ciobanu, C Dobre, M Dascălu, Ş Trăuşan-Matu, V Cristea Journal of Network and Computer Applications 41, 240-249, 2014	46	2014
Finding student-centered open learning environments on the internet: Automated dialogue assessment in academic virtual communities of practice N Nistor, Ş Trăuşan-Matu, M Dascălu, H Duttweiler, C Chiru, B Baltes, ... Computers in Human Behavior 47, 119-127, 2015	44	2015
Cohesion-based analysis of CSCL conversations: Holistic and individual perspectives M Dascalu, S Trausan-Matu, P Dessus 10th International Conference of Computer Supported Collaborative Learning …, 2013	41	2013
Robert–a romanian bert model M Masala, S Ruseti, M Dascalu Proceedings of the 28th International Conference on Computational …, 2020	39	2020
Predicting success in massive open online courses (MOOCs) using cohesion network analysis S Crossley, M Dascalu, DS McNamara, R Baker, S Trausan-Matu Philadelphia, PA: International Society of the Learning Sciences., 2017	36	2017

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