| 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 | 227 | 2017 |
| 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 | 217 | 2016 |
| 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 | 193 | 2019 |
| 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 | 156 | 2014 |
| Analyzing Discourse and Text Complexity for Learning and Collaborating M Dascalu Studies in Computational Intelligence 534, 2014 | 153* | 2014 |
| 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 | 146 | 2019 |
| 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 | 145 | 2020 |
| 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 | 119 | 2015 |
| 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 | 106 | 2014 |
| 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 | 104 | 2013 |
| 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 | 101 | 2021 |
| Cohesion network analysis of CSCL participation M Dascalu, DS McNamara, S Trausan-Matu, LK Allen Behavior research methods 50, 604-619, 2018 | 98 | 2018 |
| 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 | 98 | 2014 |
| Robert–a romanian bert model M Masala, S Ruseti, M Dascalu Proceedings of the 28th International Conference on Computational …, 2020 | 90 | 2020 |
| Natural Language Processing and Learning Analytics DS McNamara, LK Allen, SA Crossley, M Dascalu, CA Perret Handbook of Learning Analytics, 93–104, 2017 | 75 | 2017 |
| 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 | 74 | 2014 |
| Cve2att&ck: Bert-based mapping of cves to mitre att&ck techniques O Grigorescu, A Nica, M Dascalu, R Rughinis Algorithms 15 (9), 314, 2022 | 61 | 2022 |
| 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 | 51 | 2015 |
| 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 |
| 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 | 47 | 2017 |
Stefan Trausan-MatuProf. Univ. Politehnica of Bucharest; Research Inst. for AI; Academy of Romanian Scientistscs.pub.ro의 이메일 확인됨
