“Guru: a computer tutor that models expert human tutors,”

The 2 Sigma Problem: The Search for Methods of Group Instruction as Effective as One-to-One Tutoring

BLOOM, B. S. (1984) · Educational Researcher · doi:10.3102/0013189x013006004 · Cited by 2,734

The Relative Effectiveness of Human Tutoring, Intelligent Tutoring Systems, and Other Tutoring Systems

VanLEHN, K. (2011) · Educational Psychologist · doi:10.1080/00461520.2011.611369 · Cited by 2,323

Intelligent Tutoring Systems

Anderson, J. R., Boyle, C., & Reiser, B. (1985) · Science · doi:10.1126/science.228.4698.456 · Cited by 699

AutoTutor: A tutor with dialogue in natural language

Graesser, A. C., Lu, S., Jackson, G. T., Mitchell, H. H., Ventura, M., Olney, A. M., & Louwerse, M. M. (2004) · Behavior Research Methods, Instruments, & Computers · doi:10.3758/bf03195563 · Cited by 567

Advances in Intelligent Tutoring Systems

Nkambou, R., Mizoguchi, R., & Bourdeau, J. (2010) · Studies in computational intelligence · doi:10.1007/978-3-642-14363-2 · Cited by 388

The Architecture of Why2-Atlas: A Coach for Qualitative Physics Essay Writing

VanLehn, K. A., Jordan, P., Rosé, C. P., Bhembe, D., Böttner, M., Gaydos, A., Makatchev, M., Pappuswamy, U., Ringenberg, M. A., Roque, A., et al. (2002) · Lecture notes in computer science · doi:10.1007/3-540-47987-2_20 · Cited by 230

Mining Collaborative Patterns in Tutorial Dialogues

D’Mello, S. K., Olney, A. M., & Person, N. K. (2010) · Journal of Educational Data Mining · doi:10.5281/zenodo.3554737 · Cited by 65

Generating Concept Map Exercises from Textbooks

Olney, A. M., Cade, W., & Williams, C. (2011) · Cited by 29

Tutorial Dialog in Natural Language

Olney, A. M., Graesser, A. C., & Person, N. K. (2010) · Studies in computational intelligence · doi:10.1007/978-3-642-14363-2_9 · Cited by 23

Collaborative Lecturing by Human and Computer Tutors

D’Mello, S. K., Hays, P. A., Williams, C., Cade, W., Brown, J., & Olney, A. M. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-13437-1_18 · Cited by 21

Handbook of Self-Regulation of Learning and Performance

(2017) · Routledge eBooks · doi:10.4324/9781315697048 · Cited by 1,977

PISA 2015 Assessment and Analytical Framework

OECD (2017) · Programme for international student assessment/Internationale Schulleistungsstudie · doi:10.1787/9789264281820-en · Cited by 623

AutoTutor and Family: A Review of 17 Years of Natural Language Tutoring

Nye, B. D., Graesser, A. C., & Hu, X. (2014) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-014-0029-5 · Cited by 326

Conversations with AutoTutor Help Students Learn

Graesser, A. C. (2016) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-015-0086-4 · Cited by 202

Recent Advances in Conversational Intelligent Tutoring Systems

Rus, V., D’Mello, S. K., Hu, X., & Graesser, A. C. (2013) · AI Magazine · doi:10.1609/aimag.v34i3.2485 · Cited by 199

The Nature of Problem Solving

OECD (2017) · Educational research and innovation · doi:10.1787/9789264273955-en · Cited by 221

Proactive and reactive engagement of artificial intelligence methods for education: a review

Mallik, S., & Gangopadhyay, A. (2023) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2023.1151391 · Cited by 139

Adaptive feedback in computer-based learning environments: a review

Bimba, A. T., Idris, N. B., Al-Hunaiyyan, A. A., Mahmud, R. B., & Shuib, L. M. (2017) · Adaptive Behavior · doi:10.1177/1059712317727590 · Cited by 123

A Systematic Literature Review of Intelligent Tutoring Systems With Dialogue in Natural Language

Paladines, J., & Ramírez, J. (2020) · IEEE Access · doi:10.1109/access.2020.3021383 · Cited by 143

Automated gaze-based mind wandering detection during computerized learning in classrooms

Hutt, S. J., Krasich, K., Mills, C., Bosch, N., White, S., Brockmole, J. R., & D’Mello, S. K. (2019) · User Modeling and User-Adapted Interaction · doi:10.1007/s11257-019-09228-5 · Cited by 109

ElectronixTutor: an intelligent tutoring system with multiple learning resources for electronics

Graesser, A. C., Hu, X., Nye, B. D., VanLehn, K. A., Kumar, R. V., Heffernan, C., Heffernan, N. T., Woolf, B. P., Olney, A. M., Rus, V., et al. (2018) · International Journal of STEM Education · doi:10.1186/s40594-018-0110-y · Cited by 97

Learning by Communicating in Natural Language With Conversational Agents

Graesser, A. C., Li, H., & Forsyth, C. (2014) · Current Directions in Psychological Science · doi:10.1177/0963721414540680 · Cited by 118

A meta-analysis of the effectiveness of ALEKS on learning

Fang, Y., Ren, Z., Hu, X., & Graesser, A. C. (2019) · Educational Psychology · doi:10.1080/01443410.2018.1495829 · Cited by 79

Bayesian Active Learning-Based Robot Tutor for Children's Word-Reading Skills

Gordon, G., & Breazeal, C. (2015) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v29i1.9376 · Cited by 75

Automatic Detection of Mind Wandering from Video in the Lab and in the Classroom

Bosch, N., & D’Mello, S. K. (2019) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2019.2908837 · Cited by 80

Put your thinking cap on

Mills, C., Fridman, I., Soussou, W., Waghray, D., Olney, A. M., & D’Mello, S. K. (2017) · International Conference on Learning Analytics and Knowledge (LAK) · doi:10.1145/3027385.3027431 · Cited by 76

Educational Psychology Is Evolving to Accommodate Technology, Multiple Disciplines, and Twenty-First-Century Skills

Graesser, A. C., Sabatini, J., & Li, H. (2021) · Annual Review of Psychology · doi:10.1146/annurev-psych-020821-113042 · Cited by 101

Emotion Recognition in Affective Tutoring Systems: Collection of Ground-truth Data

Petroviča, S., Anohina-Naumeca, A., & Ekenel, H. K. (2017) · Procedia Computer Science · doi:10.1016/j.procs.2017.01.157 · Cited by 69

"Out of the Fr-Eye-ing Pan"

Hutt, S. J., Mills, C., Bosch, N., Krasich, K., Brockmole, J. R., & D’Mello, S. K. (2017) · ACM Conference on User Modeling, Adaptation and Personalization (UMAP) · doi:10.1145/3079628.3079669 · Cited by 69

Assessment with computer agents that engage in conversational dialogues and trialogues with learners

Graesser, A. C., Cai, Z., Morgan, B., & Wang, L. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.03.041 · Cited by 63

Breaking out of the Lab: Mitigating Mind Wandering with Gaze-Based Attention-Aware Technology in Classrooms

Hutt, S., Krasich, K., R. Brockmole, J., & K. D'Mello, S. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445269 · Cited by 60

A Survey of Current Machine Learning Approaches to Student Free-Text Evaluation for Intelligent Tutoring

Bai, X., & Stede, M. (2022) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-022-00323-0 · Cited by 71

OATutor: An Open-source Adaptive Tutoring System and Curated Content Library for Learning Sciences Research

Pardos, Z. A., Tang, M., Anastasopoulos, I., Sheel, S. K., & Zhang, E. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3581574 · Cited by 55

Feedback source modality effects on training outcomes in a serious game: Pedagogical agents make a difference

Goldberg, B., & Cannon‐Bowers, J. A. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.05.008 · Cited by 60

Multiple Agent Designs in Conversational Intelligent Tutoring Systems

Lippert, A., Shubeck, K. T., Morgan, B., Hampton, A. J., & Graesser, A. C. (2019) · Technology Knowledge and Learning · doi:10.1007/s10758-019-09431-8 · Cited by 58

The Impact of Game-Like Features on Learning from an Intelligent Tutoring System

Millis, K., Forsyth, C. M., Wallace, P. S., Graesser, A. C., & Timmins, G. (2016) · Technology Knowledge and Learning · doi:10.1007/s10758-016-9289-5 · Cited by 51

Linking Dialogue with Student Modelling to Create an Adaptive Tutoring System for Conceptual Physics

Katz, S., Albacete, P., Chounta, I., Jordan, P., McLaren, B. M., & Zapata‐Rivera, D. (2021) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-020-00226-y · Cited by 41

Giving Eyesight to the Blind: Towards Attention-Aware AIED

D’Mello, S. K. (2016) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-016-0104-1 · Cited by 39

A Systematic Review of Literature on the Effectiveness of Intelligent Tutoring Systems in STEM

Feng, S., Magana, A. J., & Kao, D. (2021) · IEEE Frontiers in Education Conference (FIE) · doi:10.1109/fie49875.2021.9637240 · Cited by 36

Attending to Attention

D’Mello, S. K., Kopp, K. J., Bixler, R., & Bosch, N. (2016) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/2851581.2892329 · Cited by 36

The Effect of AI ‐Based Systems on Mathematics Achievement in Rural Context: A Quantitative Study

Khazanchi, R., Mitri, D. D., & Drachsler, H. (2024) · Journal of Computer Assisted Learning · doi:10.1111/jcal.13098 · Cited by 33

Mind Wandering During Learning with an Intelligent Tutoring System

Mills, C., D'Mello, S. K., Bosch, N., & Olney, A. (2015) · International Conference on Artificial Intelligence in Education · doi:10.1007/978-3-319-19773-9_27 · Cited by 24

Evaluating English language learners’ conversations: Man vs. Machine

Forsyth, C. M., Luce, C., Zapata‐Rivera, D., Jackson, G. T., Evanini, K., & So, Y. (2018) · Computer Assisted Language Learning · doi:10.1080/09588221.2018.1517126 · Cited by 33

Two Heads May be Better than One: Learning from Computer Agents in Conversational Trialogues

Graesser, A. C., Forsyth, C. M., & Lehman, B. A. (2017) · Teachers College Record The Voice of Scholarship in Education · doi:10.1177/016146811711900309 · Cited by 33

Assessing Collaborative Problem Solving Through Conversational Agents

Graesser, A. C., Dowell, N., & Clewley, D. (2017) · Methodology of educational measurement and assessment · doi:10.1007/978-3-319-33261-1_5 · Cited by 28

A systematic review of intelligent tutoring systems based on Gross body movement detected using computer vision

Ashwin, T. S., Prakash, V., & Rajendran, R. (2023) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2023.100125 · Cited by 33

Artificial Intelligence in Education: Ethical Considerations and Insights from Ancient Greek Philosophy

Karpouzis, K. C. (2024) · Hellenic Conference on Artificial Intelligence · doi:10.1145/3688671.3688772 · Cited by 47

Conversational Intelligent Tutoring Systems: The State of the Art

Latham, A. (2022) · Women in engineering and science · doi:10.1007/978-3-030-79092-9_4 · Cited by 21

Affect-driven Learning Outcomes Prediction in Intelligent Tutoring Systems

Joshi, A., Allessio, D., Magee, J., Whitehill, J., Arroyo, I., Woolf, B. P., Sclaroff, S., & Betke, M. (2019) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/fg.2019.8756624 · Cited by 18

Design of Dialog-Based Intelligent Tutoring Systems to Simulate Human-to-Human Tutoring

D’Mello, S. K., & Graesser, A. C. (2013) · Springer eBooks · doi:10.1007/978-1-4614-6934-6_11 · Cited by 17

Opportunities and risks in the use of AI in career development practice

Wilson, M., Robertson, P., Cruickshank, P., & Gkatzia, D. (2022) · Journal of the National Institute for Career Education and Counselling · doi:10.20856/jnicec.4807 · Cited by 19

Evaluating Calibration-free Webcam-based Eye Tracking for Gaze-based User Modeling

Hutt, S. J., & D’Mello, S. K. (2022) · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION · doi:10.1145/3536221.3556580 · Cited by 18

The Effects of Adaptive Feedback on Student’s Learning Gains

Bimba, A. T., Idris, N. B., Al-Hunaiyyan, A. A., Ibrahim, S. U., Mustafa, N., Supa'at, I., Zainal, N., & Ahmad, M. Y. (2021) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2021.0120709 · Cited by 14

Successes and Failures in Building Learning Environments to Promote Deep Learning: The Value of Conversational Agents

Graesser, A. C., Lippert, A. M., & Hampton, A. J. (2017) · Springer eBooks · doi:10.1007/978-3-319-64274-1_12 · Cited by 14

Emotion Recognition for Intelligent Tutoring

Petroviča, S., & Ekenel, H. K. (2016) · Cited by 12

Reducing Mind-Wandering During Vicarious Learning from an Intelligent Tutoring System

Mills, C., Bosch, N., Krasich, K., & D’Mello, S. K. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-23204-7_25 · Cited by 12

Gaze-Based Attention-Aware Cyberlearning Technologies

D'Mello, S. K. (2018) · Mind, Brain and Technology · doi:10.1007/978-3-030-02631-8_6 · Cited by 9

Adaptation of tutoring to students' emotions in emotionally intelligent tutoring systems

Petroviča, S. (2013) · International Conference on E-Learning and E-Technologies in Education · doi:10.1109/icelete.2013.6644361 · Cited by 10

TUtor Collaborator Using Multi-Agent System

Alencar, M. A. D. S., & Netto, J. F. D. M. (2014) · Communications in computer and information science · doi:10.1007/978-3-662-44651-5_14 · Cited by 10

Online Pedagogical Tutorial Tactics Optimization Using Genetic‐Based Reinforcement Learning

Lin, H.-T., Lee, P.-M., & Hsiao, T. (2015) · The Scientific World JOURNAL · doi:10.1155/2015/352895 · Cited by 9

A Concept Map Based Assessment of Free Student Answers in Tutorial Dialogues

Maharjan, N., & Rus, V. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-23204-7_21 · Cited by 8

Emotions in Adaptive Computer Technologies for Adults Improving Reading

Graesser, A., Baer, W. O., Feng, S., Walker, B., Clewley, D., Hays, D., & Greenberg, D. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-801856-9.00001-3 · Cited by 6

Recommendations for the Generalized Intelligent Framework for Tutoring Based on the Development of the Deep Tutor Service.

Rus, V., Niraula, N. B., Lintean, M. C., Banjade, R., Stefanescu, D. C., & Baggett, W. B. (2013) · AIED Workshops · Cited by 7

Intelligent Pedagogic Agents (IPAs) in GEA2, an Educational Game to Teach STEM Topics

Ferro, L. S., Sapio, F., Mecella, M., Temperini, M., & Terracina, A. (2020) · Advances in intelligent systems and computing · doi:10.1007/978-3-030-52287-2_23 · Cited by 7

Perspectives de l'OCDE sur l'éducation numérique 2021

OCDE (2022) · Digital education outlook · doi:10.1787/d5fe6bd0-fr · Cited by 16

The Role of Natural Language and Discourse Processing in Advanced Tutoring Systems

Graesser, A. C., Keshtkar, F., & Li, H. (2014) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780199838639.013.003 · Cited by 6

Comparing Authoring Experiences with Spreadsheet Interfaces vs GUIs

Sheel, S. K., Anastasopoulos, I., & Pardos, Z. A. (2024) · International Conference on Learning Analytics and Knowledge (LAK) · doi:10.1145/3636555.3636919 · Cited by 6

Exploring the use of Artificial Intelligent Systems in STEM Classrooms

Kornyo, E. A. (2021) · doi:10.7916/d8-qfyk-kp13 · Cited by 5

An Online Learning Collaboratory to Address Multidisciplinary Learning Challenges at Scale

Inventado, P. S., & Scupelli, P. G. (2017) · Interaction design & architecture(s)/ID&A Interaction design & architecture(s) · doi:10.55612/s-5002-033-001 · Cited by 5

“Mind” TS: Testing a Brief Mindfulness Intervention with an Intelligent Tutoring System

Krasich, K., Hutt, S. J., Mills, C., Spann, C. A., Brockmole, J. R., & D’Mello, S. K. (2018) · Lecture notes in computer science · doi:10.1007/978-3-319-93846-2_32 · Cited by 4

Cadre d'évaluation et d'analyse de l'enquête PISA 2015

OCDE (2018) · Programme international pour le suivi des acquis des élèves · doi:10.1787/9789264297203-fr · Cited by 5

Assessment in Conversational Intelligent Tutoring Systems: Are Contextual Embeddings Really Better?

Carmon, C. M., Hu, X., & Graesser, A. C. (2023) · Communications in computer and information science · doi:10.1007/978-3-031-36336-8_19 · Cited by 4

Automated Assessment of Initial Answers to Questions in Conversational Intelligent Tutoring Systems: Are Contextual Embedding Models Really Better?

Carmon, C. M., Morgan, B., Hu, X., & Graesser, A. C. (2023) · Electronics · doi:10.3390/electronics12173654 · Cited by 6

A Priori Knowledge in Learning Analytics

Simon, J. (2017) · Studies in systems, decision and control · doi:10.1007/978-3-319-52977-6_7 · Cited by 4

Leveraging Cognitive Science and Artificial Intelligence to Save Lives

Hays, M. J., Glick, A., & Lane, H. C. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-23207-8_71 · Cited by 4

Examining a learning-driven relationship of inquiry Discerning emotional presence in online math coaching

Stenbom, S., Cleveland-Innes, M. F., & Hrastinski, S. (2012) · KTH Publication Database DiVA (KTH Royal Institute of Technology) · Cited by 4

Conversation-based assessment: current findings and future work

Zapata‐Rivera, D., Sparks, J. R., Forsyth, C. M., & Lehman, B. A. (2022) · Elsevier eBooks · doi:10.1016/b978-0-12-818630-5.10063-6 · Cited by 6

Intelligent tutoring systems and conversational agents

Graesser, A. C., & Li, H. (2022) · Elsevier eBooks · doi:10.1016/b978-0-12-818630-5.14075-8 · Cited by 5

Two technologies to help adults with reading difficulties improve their comprehension

Graesser, A. C., Feng, S., & Cai, Z. (2017) · John Benjamins Publishing Company eBooks · doi:10.1075/z.206.18gra · Cited by 3

Using a conversation-based agent system to foster math argumentation learning

Wu, H.-M., Yin, T., & Chan, Y.-J. (2025) · Educational Technology Research and Development · doi:10.1007/s11423-025-10455-4 · Cited by 3

Identifying Weak Sentences in Student Drafts: A Tutoring System

González‐López, S., Bethard, S. J., & López‐López, A. (2014) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-07698-0_10 · Cited by 3

An Intelligent Tutoring System to Evaluate and Advise on Lexical Richness in Students Writings

García-Gorrostieta, J. M., González‐López, S., López‐López, A., & Carrillo, M. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-40814-4_55 · Cited by 3

TURET2.0: Thesis Writing Tutor Aimed on Lexical Richness in Students' Texts

González‐López, S., López‐López, A., García-Gorrostieta, J. M., & Espinoza, I. R. (2016) · Research in Computing Science · doi:10.13053/rcs-129-1-1 · Cited by 3

Tutor Inteligente para Propuestas de Investigación

García-Gorrostieta, J. M., López, S. G., & López, A. L. (2014) · Dialnet (Universidad de la Rioja) · Cited by 2

Animated Presentation of Pictorial and Concept Map Media in Biology

Cade, W., Maass, J. K., Hays, P. A., & Olney, A. M. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-07221-0_52 · Cited by 2

Math Reading Comprehension: Comparing Effectiveness of Various Conversation Frameworks in an ITS

Shubeck, K. T., Ying, F., & Hu, X. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-61425-0_77 · Cited by 2

Semantic Matching Evaluation of User Responses to Electronics Questions in AutoTutor

Carmon, C. M., Hampton, A. J., Morgan, B., Cai, Z., Wang, L., & Graesser, A. C. (2019) · ACM Conference on Learning @ Scale (L@S) · doi:10.1145/3330430.3333649 · Cited by 2

Auswahl und Generierung von passenden Feedbacks auf Basis eines Feedback-Rating-System-Frameworks

Kasakowskij, R. (2022) · MedienPädagogik Zeitschrift für Theorie und Praxis der Medienbildung · doi:10.21240/mpaed/48/2022.06.13.x · Cited by 2

Integración de un Sistema de Diálogo con un Sistema Inteligente de Tutoría dirigido al Entrenamiento Procedimental

Morán, J. N. P. (2020) · doi:10.20868/upm.thesis.66047 · Cited by 2

A Review of Intelligent Tutoring in Secondary Education

Pezzini, M. C., & Thomas, P. J. (2023) · Communications in computer and information science · doi:10.1007/978-3-031-34147-2_3 · Cited by 1

Un tutor inteligente, afectivo y configurable para el aprendizaje de números naturales de 3er grado

Estrada, M. L. B., Cabada, R. Z., Aranda-Ortega, M., Gómez-Pérez, H. E., & Mejía-Arredondo, J. (2014) · Research in Computing Science · doi:10.13053/rcs-77-1-4 · Cited by 1

Assessing and Advising on Lexical Richness in an Intelligent Tutoring System

García-Gorrostieta, J. M., López, S. G., & López, A. L. (2012) · Research in Computing Science · doi:10.13053/rcs-56-1-3 · Cited by 1

Generalizing the Genres for ITS: Authoring Considerations for Representative Learning Tasks

Nye, B. D., Goldberg, B., & Hu, X. (2015) · Cited by 1

XNAgent: Authoring Embodied Conversational Agents for Tutor-User Interfaces.

Onley, A. (2013) · AIED Workshops · Cited by 1

Computational Methods for Analysis of Language in Graduate and Undergraduate Student Texts

González‐López, S., & López‐López, A. (2018) · Communications in computer and information science · doi:10.1007/978-3-319-97934-2_3 · Cited by 1

Towards Concept Map Based Free Student Answer Assessment.

Maharjan, N., & Rus, V. (2019) · The Florida AI Research Society · Cited by 1

Cadre d'évaluation de la culture scientifique de l'enquête PISA 2015

OECD (2018) · Programme international pour le suivi des acquis des élèves · doi:10.1787/9789264297203-3-fr · Cited by 1

An Intelligent framework for Blended Learning

Ordóñez, A., Martha Giraldo, G., Muñoz, F., Ordóñez, H., & Rosero, Y. (2018) · Revista Colombiana de Computación · doi:10.29375/25392115.3441 · Cited by 1

Cadre conceptuel des questionnaires contextuels de l'enquête PISA 2015

OECD (2018) · Programme international pour le suivi des acquis des élèves · doi:10.1787/9789264297203-7-fr · Cited by 1

Maschinelles Lernen zur Förderung von höheren Kompetenzen

Giang, C., Wambsganß, T., & Käser, T. (2022) · Lernen und Lernstörungen · doi:10.1024/2235-0977/a000393 · Cited by 1

Results of a Case Study of an Intelligent Tutoring System for Analyzing of Student Projects Presented as Research Papers

García-Gorrostieta, J. M., López, S. G., & López‐López, A. (2013) · Research in Computing Science · doi:10.13053/rcs-65-1-9

Melhorando a Colaboração em um Ambiente Virtual de Aprendizagem Usando um Agente Pedagógico Animado 3D

Alencar, M. A. D. S., & Netto, J. F. D. M. (2017) · Anais do ... Simpósio Brasileiro de Informática na Educação/Anais do Simpósio Brasileiro de Informática na Educação · doi:10.5753/cbie.sbie.2017.1417

Placating plato with plates of pasta: An interactive tool for teaching the dining philosophers problem

DeBenedetto, J., Hutt, S. J., Faust, L. J., Liu, A., & Kremer-Herman, N. (2017) · IEEE Frontiers in Education Conference (FIE) · doi:10.1109/fie.2017.8190443

Avant-propos

OECD (2018) · Programme international pour le suivi des acquis des élèves · doi:10.1787/9789264297203-1-fr

Implementation of the Pedagogical Module in the Emotionally Intelligent Tutoring System

Petroviča, S. (2019) · doi:10.7250/9789934222887

PISA 2015 Expert groups

OECD (2017) · Programme for international student assessment/Internationale Schulleistungsstudie · doi:10.1787/9789264281820-10-en

Computergestütztes Tutoring: Einblicke in die Art und Weise, wie Maschinen Studierenden helfen können, Fortschritte zu machen

Mai, T. T., Bezbradica, M., & Crane, M. (2023) · Springer eBooks · doi:10.1007/978-3-658-39607-7_4

Efficacy of a Computer Tutor that Models Expert Human Tutors

Olney, A. M., D’Mello, S. K., Person, N. K., Cade, W., Hays, P. A., Dempsey, C. W., Lehman, B. A., Williams, B., & Graesser, A. C. (2025) · Lecture notes in computer science · doi:10.1007/978-3-031-98462-4_38 · Cited by 2

"What if there was no oxygen?": responding to hypothetical questions in an intelligent tutoring agent

Yorke‐Smith, N., Heymans, S., & Chaudhri, V. K. (2013) · Scopus · doi:10.5555/2484920.2485171

Uncovering Key Cognitive Traits for Placement Success: A Multi-Dimensional Data Mining Approach

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