Towards an Agile Approach to Adapting Dynamic Collaboration Support to Student Needs
Open accessAbstract
This paper investigates the use of conversational agents to scaffold on-line collaborative learning discussions through an approach called Academically Productive Talk (APT). In contrast to past work on dynamic support for collaborative learning, where agents were used to elevate conceptual depth by leading students through directed lines of reasoning (Kumar & Rosé, IEEE Transactions on Learning Technologies, 4 (1), 2011 ), this APT-based approach uses generic prompts that encourage students to articulate and elaborate their own lines of reasoning, and to challenge and extend the reasoning of their teammates. This paper integrates findings from a series of studies across content domains (biology, chemistry, engineering design), grade levels (high school, undergraduate), and facilitation strategies. APT based strategies are contrasted with simply offering positive feedback when the students themselves employ APT facilitation moves in their interactions with one another, an intervention we term Positive Feedback for APT engagement. The pattern of results demonstrates that APT based support for collaborative learning can significantly increase learning, but that the effect of specific APT facilitation strategies is context specific. It appears the effectiveness of each strategy depends upon factors such as the difficulty of the material (in terms of being new conceptual material versus review) and the skill level of the learner (urban public high school vs. selective private university). In contrast, Feedback for APT engagement does not positively impact learning. In addition to an analysis based on learning gains, an automated conversation analysis technique is presented that effectively predicts which strategies are successfully operating in specific contexts. Implications for design of more agile forms of dynamic support for collaborative learning are discussed.
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One study presented negative results regarding the type of support that the ITS provided (Adamson et al., 2014).
“One study presented negative results regarding the type of support that the ITS provided (Adamson et al., 2014)”
From Systematic review of research on artificial intelligence applications in higher education – where are the educators? (2019) · cites this paper as Adamson et al., 2014
The negative results in Adamson et al. (2014) could have been more useful if the support was more adjusted to the type of (more advanced) learners.
“which could have been more useful if it was more adjusted to the type of (in this case, more advanced) learners.”
From Systematic review of research on artificial intelligence applications in higher education – where are the educators? (2019) · cites this paper as Adamson et al., 2014
Cites
Handbook of educational psychology
(1997) · Choice Reviews Online · doi:10.5860/choice.34-3084 · Cited by 4,850 · see citing works
The Cambridge Handbook of the Learning Sciences
(2005) · Cambridge University Press eBooks · doi:10.1017/cbo9780511816833 · Cited by 4,660 · see citing works
Multilevel and Longitudinal Modeling Using Stata
Rabe-Hesketh, S., & Skrondal, A. (2005) · Biometrics · doi:10.1111/j.1541-0420.2006.00588_16.x · Cited by 4,626 · see citing works
Handbook of Educational Psychology
Berliner, D. C., & Calfee, R. C. (2013) · Routledge eBooks · doi:10.4324/9780203053874 · Cited by 3,212 · see citing works
The evolution of research on collaborative learning
Dillenbourg, P., Baker, M. J., Blaye, A., & O’Malley, C. L. (1995) · HAL · Cited by 1,417 · see citing works
Aronson, E. (2021) · Routledge eBooks · doi:10.4324/9781003106760-7 · Cited by 1,391 · see citing works
Collaborative learning : cognitive and computational approaches
Dillenbourg, P. (1999) · Cited by 1,321 · see citing works
Computer-supported collaborative learning: An historical perspective
Stahl, G., Koschmann, T. D., & Suthers, D. (2006) · Cited by 1,226 · see citing works
Corpus-based and Knowledge-based Measures of Text Semantic Similarity
Mihalcea, R. F., Corley, C. D., & Strapparava, C. (2006) · University of North Texas Digital Library (University of North Texas) · Cited by 1,196 · see citing works
Scardamalia, M., & Bereiter, C. (2005) · Cambridge University Press eBooks · doi:10.1017/cbo9780511816833.008 · Cited by 1,159 · see citing works
Weinberger, A., & Fischer, F. (2005) · Computers & Education · doi:10.1016/j.compedu.2005.04.003 · Cited by 902 · see citing works
Over-scripting CSCL: The risks of blending collaborative learning with instructional design
Dillenbourg, P. (2002) · Cited by 896 · see citing works
Cognitive Perspectives on Peer Learning
O’Donnell, A. M., & King, A. (2014) · Routledge eBooks · doi:10.4324/9781410603715 · Cited by 871 · see citing works
Deliberative Discourse Idealized and Realized: Accountable Talk in the Classroom and in Civic Life
Michaels, S., O’Connor, C., & Resnick, L. B. (2008) · Studies in Philosophy and Education · doi:10.1007/s11217-007-9071-1 · Cited by 853 · see citing works
Goals and Strategies of a Problem-based Learning Facilitator
Hmelo‐Silver, C. E., & Barrows, H. S. (2006) · Interdisciplinary Journal of Problem-based Learning · doi:10.7771/1541-5015.1004 · Cited by 852 · see citing works
Group Processes in the Classroom
Berliner, D. C., & Calfee, R. C. (2013) · Routledge eBooks · doi:10.4324/9780203053874-35 · Cited by 842 · see citing works
Technology affordances for intersubjective meaning making: A research agenda for CSCL
Suthers, D. D. (2006) · International Journal of Computer-Supported Collaborative Learning · doi:10.1007/s11412-006-9660-y · Cited by 566 · see citing works
A Cognitive Load Approach to Collaborative Learning: United Brains for Complex Tasks
Kirschner, F., Paas, F., & Kirschner, P. A. (2009) · Educational Psychology Review · doi:10.1007/s10648-008-9095-2 · Cited by 547 · see citing works
Collaboration Scripts – A Conceptual Analysis
Kollar, I., Fischer, F., & Hesse, F. W. (2006) · Educational Psychology Review · doi:10.1007/s10648-006-9007-2 · Cited by 534 · see citing works
Socializing Intelligence Through Academic Talk and Dialogue
(2015) · doi:10.3102/978-0-935302-43-1 · Cited by 429 · see citing works
Wegerif, R., Mercer, N., & Dawes, L. (1999) · Learning and Instruction · doi:10.1016/s0959-4752(99)00013-4 · Cited by 420 · see citing works
Specifying computer-supported collaboration scripts
Kobbe, L., Weinberger, A., Dillenbourg, P., Harrer, A., Hämäläinen, R., Häkkinen, P., & Fischer, F. (2007) · International Journal of Computer-Supported Collaborative Learning · doi:10.1007/s11412-007-9014-4 · Cited by 416 · see citing works
Resnick, L. Β., Salmon, M. H., Zeitz, C. M., Wathen, S. H., & Holowchak, M. A. (1993) · Cognition and Instruction · doi:10.1080/07370008.1993.9649029 · Cited by 354 · see citing works
Rosé, C., Wang, Y.-C., Cui, Y., Arguello, J., Stegmann, K., Weinberger, A., & Fischer, F. (2008) · International Journal of Computer-Supported Collaborative Learning · doi:10.1007/s11412-007-9034-0 · Cited by 351 · see citing works
Self-citationThe mechanics of CSCL macro scripts
Dillenbourg, P., & Hong, F. (2008) · International Journal of Computer-Supported Collaborative Learning · doi:10.1007/s11412-007-9033-1 · Cited by 305 · see citing works
Friendship, transactive dialogues, and the development of scientific reasoning
Azmitia, M., & Montgomery, R. (1993) · Social Development · doi:10.1111/j.1467-9507.1993.tb00014.x · Cited by 290 · see citing works
Measuring the developmental features of moral discussion.
Berkowitz, M. W., & Gibbs, J. C. (1983) · Merrill-palmer Quarterly · Cited by 259 · see citing works
Technologies for knowledge-building discourse
Scardamalia, M., & Bereiter, C. (1993) · Communications of the ACM · doi:10.1145/155049.155056 · Cited by 255 · see citing works
Talking About Reasoning: How Important Is the Peer in Peer Collaboration?
Teasley, S. D. (1997) · Springer eBooks · doi:10.1007/978-3-662-03362-3_16 · Cited by 235 · see citing works
Adey, P. S., & Shayer, M. (1993) · Cognition and Instruction · doi:10.1207/s1532690xci1101_1 · Cited by 188 · see citing works
Architecture for Building Conversational Agents That Support Collaborative Learning
Kumar, R., & Rosé, C. P. (2011) · IEEE Transactions on Learning Technologies · doi:10.1109/tlt.2010.41 · Cited by 160 · see citing works
Self-citationScripting Argumentative Knowledge Construction in Computer-Supported Learning Environments
Weinberger, A., Stegmann, K., Fischer, F., & Mandl, H. (2007) · Springer eBooks · doi:10.1007/978-0-387-36949-5_12 · Cited by 137 · see citing works
Tutorial Dialogue as Adaptive Collaborative Learning Support
Kumar, R., Rosé, C. P., Wang, Y., Joshi, M., & Robinson, A. L. (2007) · Cited by 134 · see citing works
Self-citationInteractive Conceptual Tutoring in Atlas-Andes
Rosé, C. P., h-eedman, R., Jordan, P., Ringenberg, M. A., Roque, A. C., Schulze, K. G., Siler, S. A., Treacy, D. J., VanLehn, K. A., & Weinstein, A. (2002) · Cited by 116 · see citing works
Self-citationCollaborative philosophical inquiry for schoolchildren: Cognitive gains at 2‐year follow‐up
Topping, K. J., & Trickey, S. (2007) · British Journal of Educational Psychology · doi:10.1348/000709907x193032 · Cited by 114 · see citing works
Using Intelligent Tutor Technology to Implement Adaptive Support for Student Collaboration
Diziol, D., Walker, E., Rummel, N., & Koedinger, K. R. (2009) · Educational Psychology Review · doi:10.1007/s10648-009-9116-9 · Cited by 112 · see citing works
Automatic coding of dialogue acts in collaboration protocols
Erkens, G., & Janssen, J. (2008) · International Journal of Computer-Supported Collaborative Learning · doi:10.1007/s11412-008-9052-6 · Cited by 103 · see citing works
Explicit referencing in chat supports collaborative learning
Mühlpfordt, M., & Wessner, M. (2005) · doi:10.3115/1149293.1149353 · Cited by 101 · see citing works
Mu, J., Stegmann, K., Mayfield, E., Rosé, C. P., & Fischer, F. (2012) · International Journal of Computer-Supported Collaborative Learning · doi:10.1007/s11412-012-9147-y · Cited by 78 · see citing works
Self-citationEnhancing Scientific Reasoning and Discussion with Conversational Agents
Dyke, G., Adamson, D., Howley, I. K., & Rosé, C. P. (2013) · IEEE Transactions on Learning Technologies · doi:10.1109/tlt.2013.25 · Cited by 72 · see citing works
Self-citationA 3-Tier Planning Architecture for Managing Tutorial Dialogue
Zinn, C., Moore, J. D., & Core, M. G. (2002) · Lecture notes in computer science · doi:10.1007/3-540-47987-2_59 · Cited by 69 · see citing works
The productive agency that drives collaborative learning
Schwartz, D. L. (1999) · Cited by 69 · see citing works
Socially Capable Conversational Tutors Can Be Effective in Collaborative Learning Situations
Kumar, R. V., Ai, H., Beuth, J., & Rosé, C. P. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-13388-6_20 · Cited by 59 · see citing works
Self-citationModeling the process of collaborative learning
Soller, A., & Lesgold, A. M. (2007) · Springer eBooks · doi:10.1007/978-0-387-71136-2_5 · Cited by 56 · see citing works
Using Machine Learning Techniques to Analyze and Support Mediation of Student E-Discussions
McLaren, B. M., Oliver Scheuer, A., de Laat, M. F., Hever, R., Groot, R. D., & Rosé, C. P. (2018) · Figshare · doi:10.1184/r1/6470639 · Cited by 53 · see citing works
Self-citationThe Foundations and Architecture of Autotutor
Tutoring Research Group, Hastings, P., Graesser, A. C., & Harter, D. (1998) · Lecture notes in computer science · doi:10.1007/3-540-68716-5_39 · Cited by 47 · see citing works
Engaging Collaborative Learners with Helping Agents
Chaudhuri, S., Rohit, K., Howley, I. K., & Rosé, C. P. (2009) · Frontiers in artificial intelligence and applications · doi:10.3233/978-1-60750-028-5-365 · Cited by 47 · see citing works
Self-citationAi, H., Kumar, R., Nguyen, D., Nagasunder, A., & Rosé, C. P. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-13437-1_14 · Cited by 46 · see citing works
Self-citationFading scripts in computer-supported collaborative learning
Wecker, C., & Fischer, F. (2007) · Computer-supported collaborative learning/The Computer-Supported Collaborative Learning Conference · doi:10.3115/1599600.1599739 · Cited by 34 · see citing works
An Evaluation of a Hybrid Language Understanding Approach for Robust Selection of Tutoring Goals
Rosé, C. P., & VanLehn, K. A. (2005) · International Journal of Artificial Intelligence in Education · doi:10.3233/irg-2005-15(4)04 · Cited by 25 · see citing works
Self-citationIntelligent Tutoring Systems(ITS)
Qiang-guo, P. (2001) · Journal of Suzhou Institute of Urban Construction and Environmental Protection · Cited by 23 · see citing works
Intensification of Group Knowledge Exchange with Academically Productive Talk Agents.
Adamson, G. D., Ashe, C. A., Jang, H., Yaron, D., & Rosé, C. P. (2013) · Cited by 22 · see citing works
Self-citationThe Impact of CSCL Beyond the Online Environment
Clarke, S. N., Chen, G., Stainton, C., Katz, S., Greeno, J. G., Resnick, L. Β., Dyke, G., Howley, I. K., Adamson, G. D., & Rosé, C. P. (2013) · HAL · doi:10.22318/cscl2013.1.105 · Cited by 21 · see citing works
Self-citationIt’s Not Easy Being Green: Supporting Collaborative “Green Design” Learning
Chaudhuri, S., Kumar, R., Joshi, M., Terrell, E. J., Higgs, F., Aleven, V., & Rosé, C. P. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-69132-7_114 · Cited by 19 · see citing works
Self-citationHowley, I. K., Kumar, R., Mayfield, E., Dyke, G., & Rosé, C. P. (2013) · Springer eBooks · doi:10.1007/978-1-4614-8960-3_26 · Cited by 18 · see citing works
Self-citationGroup Composition and Intelligent Dialogue Tutors for Impacting Students’ Academic Self-efficacy
Howley, I. K., Adamson, D., Dyke, G., Mayfield, E., Beuth, J., & Rosé, C. P. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-30950-2_71 · Cited by 16 · see citing works
Self-citationCoordinating Multi-dimensional Support in Collaborative Conversational Agents
Adamson, D., & Rosé, C. P. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-30950-2_45 · Cited by 16 · see citing works
Self-citationMulti-Policy Dialogue Management
Lison, P. (2011) · NORA - Norwegian Open Research Archives · Cited by 16 · see citing works
From cupcakes to equations : the structure of discourse in a primary mathematics classroom
Bill, V. L., Leer, M. N., Reams, L. E., Resnick, L. Β., & Pontecorvo, C. (1992) · Verbum · doi:10.3406/verbu.1992.1435 · Cited by 15 · see citing works
Laiko sampratos interpretacija skirtingos kultūrose
Chodzkienė, L. (2010) · Verbum · doi:10.15388/verb.2010.1.4941 · Cited by 4 · see citing works
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Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-019-0171-0 · Cited by 7,242 · see citing works
Evolution and Revolution in Artificial Intelligence in Education
Roll, I., & Wylie, R. (2016) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-016-0110-3 · Cited by 1,229 · see citing works
Power to the Teachers: An Exploratory Review on Artificial Intelligence in Education
Lameras, P., & Arnab, S. (2021) · Information · doi:10.3390/info13010014 · Cited by 291 · see citing works
Affordances and challenges of artificial intelligence in K-12 education: a systematic review
Crompton, H., Jones, M. V., & Burke, D. (2024) · Journal of Research on Technology in Education · doi:10.1080/15391523.2022.2121344 · Cited by 213 · see citing works
Aims for cultivating students’ key competencies based on artificial intelligence education in China
Huang, X. (2021) · Education and Information Technologies · doi:10.1007/s10639-021-10530-2 · Cited by 187 · see citing works
Koedinger, K. R., D’Mello, S. K., McLaughlin, E. A., Pardos, Z. A., & Rosé, C. P. (2015) · Wiley Interdisciplinary Reviews Cognitive Science · doi:10.1002/wcs.1350 · Cited by 153 · see citing works
Self-citationRadkowitsch, A., Vogel, F., & Fischer, F. (2020) · International Journal of Computer-Supported Collaborative Learning · doi:10.1007/s11412-020-09316-4 · Cited by 152 · see citing works
Example-Tracing Tutors: Intelligent Tutor Development for Non-programmers
Aleven, V., McLaren, B. M., Sewall, J., van Velsen, M., Popescu, O., Demi, S., Ringenberg, M. A., & Koedinger, K. R. (2016) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-015-0088-2 · Cited by 139 · see citing works
Explanatory learner models: Why machine learning (alone) is not the answer
Rosé, C. P., McLaughlin, E. A., Liu, R., & Koedinger, K. R. (2019) · British Journal of Educational Technology · doi:10.1111/bjet.12858 · Cited by 136 · see citing works
Self-citationTan, S. C., Lee, A. V. Y., & Lee, M. (2022) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2022.100097 · Cited by 164 · see citing works
Rosé, C. P., & Ferschke, O. (2016) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-016-0107-y · Cited by 129 · see citing works
Self-citationStudent agency to participate in dialogic science discussions
Clarke, S. N., Howley, I. K., Resnick, L. Β., & Rosé, C. P. (2016) · Learning Culture and Social Interaction · doi:10.1016/j.lcsi.2016.01.002 · Cited by 124 · see citing works
Self-citationArtificial intelligence, computational thinking, and mathematics education
Gadanidis, G. (2017) · International Journal of Information and Learning Technology · doi:10.1108/ijilt-09-2016-0048 · Cited by 121 · see citing works
Linguistic Reflections of Student Engagement in Massive Open Online Courses
Wen, M., Yang, D., & Rosé, C. P. (2014) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v8i1.14512 · Cited by 107 · see citing works
Self-citationIntegration of modern technologies in higher education on the example of artificial intelligence use
Zhou, C. (2022) · Education and Information Technologies · doi:10.1007/s10639-022-11309-9 · Cited by 130 · see citing works
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Sottilare, R. A., Burke, C. S., Eduardo Salas, A., Sinatra, A. M., Johnston, J. H., & Gilbert, S. B. (2017) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-017-0146-z · Cited by 101 · see citing works
Rienties, B., Simonsen, H. K., & Herodotou, C. (2020) · Frontiers in Education · doi:10.3389/feduc.2020.00128 · Cited by 98 · see citing works
Artificial intelligence in sport management education: Playing the AI game with ChatGPT
Keiper, M. C., Fried, G. B., Lupinek, J. M., & Nordstrom, H. (2023) · Journal of Hospitality Leisure Sport & Tourism Education · doi:10.1016/j.jhlste.2023.100456 · Cited by 114 · see citing works
Tegos, S., Demetriadis, S., & Karakostas, A. (2015) · Computers & Education · doi:10.1016/j.compedu.2015.07.014 · Cited by 90 · see citing works
A Scoping Survey of ChatGPT in Mathematics Education
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Dang, B., Huynh, T.-N., Gul, F., Rosé, C. P., Järvelä, S., & Nguyen, A. (2025) · British Journal of Educational Technology · doi:10.1111/bjet.13607 · Cited by 99 · see citing works
Self-citationHigher Education Transformation for Artificial Intelligence Revolution: Transformation Framework
Ghnemat, R., Shaout, A., & Al-Sowi, A. M. (2022) · International Journal of Emerging Technologies in Learning (iJET) · doi:10.3991/ijet.v17i19.33309 · Cited by 70 · see citing works
Tegos, S. D., Demetriadis, S., Papadopoulos, P. M., & Weinberger, A. (2016) · International Journal of Computer-Supported Collaborative Learning · doi:10.1007/s11412-016-9246-2 · Cited by 71 · see citing works
Equity Beyond Bias in Language Technologies for Education
Mayfield, E., Madaio, M., Prabhumoye, S., Gerritsen, D., McLaughlin, B., Dixon-Román, E., & Black, A. W. (2019) · Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications · doi:10.18653/v1/w19-4446 · Cited by 62 · see citing works
Role design considerations of conversational agents to facilitate discussion and systems thinking
Nguyen, H. (2022) · Computers & Education · doi:10.1016/j.compedu.2022.104661 · Cited by 62 · see citing works
ChatGPT 3.5 fails to write appropriate multiple choice practice exam questions
Ngo, A., Gupta, S., Perrine, O., Reddy, R., Ershadi, S., & Remick, D. G. (2023) · Academic Pathology · doi:10.1016/j.acpath.2023.100099 · Cited by 59 · see citing works
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Hu, W., Tian, J., & Li, Y. (2024) · The Internet and Higher Education · doi:10.1016/j.iheduc.2024.100979 · Cited by 66 · see citing works
Ba, S., Yang, L., Yan, Z., Looi, C. K., & Gašević, D. (2025) · Computers and Education Open · doi:10.1016/j.caeo.2025.100284 · Cited by 84 · see citing works
Chatbot and Conversational Analysis to Promote Collaborative Learning in Distance Education
Neto, A. J. M., & Fernandes, M. A. (2019) · IEEE International Conference on Advanced Learning Technologies (ICALT) · doi:10.1109/icalt.2019.00102 · Cited by 55 · see citing works
Positive Impact of Collaborative Chat Participation in an edX MOOC
Ferschke, O., Yang, D., Tomar, G. S., & Rosé, C. P. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-19773-9_12 · Cited by 45 · see citing works
Self-citationYang, D., Wen, M., Kumar, A., Xing, E. P., & Rosé, C. P. (2014) · The International Review of Research in Open and Distributed Learning · doi:10.19173/irrodl.v15i5.1853 · Cited by 43 · see citing works
Self-citationUsing the Tablet Gestures and Speech of Pairs of Students to Classify Their Collaboration
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de Araujo, A., Papadopoulos, P. M., McKenney, S. E., & de Jong, T. (2024) · Journal of Computer Assisted Learning · doi:10.1111/jcal.13007 · Cited by 37 · see citing works
Detecting Off-Task Behavior from Student Dialogue in Game-Based Collaborative Learning
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Iqbal, M. M., Mumtaz, K., Khalid, S., Rafiq, T., Owais, S. M., & Achhab, M. A. (2017) · Eurasia Journal of Mathematics Science and Technology Education · doi:10.12973/eurasia.2017.00938a · Cited by 36 · see citing works
Liu, C., Chiu, C. W., Chang, C., & Lo, F.-Y. (2024) · Educational Technology Research and Development · doi:10.1007/s11423-024-10370-0 · Cited by 35 · see citing works
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Cai, Z., Park, S., Nixon, N., & Doroudi, S. (2024) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3613905.3650868 · Cited by 32 · see citing works
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Reilly, C. M., Kang, S., Grotzer, T. A., Joyal, J. A., & Oriol, N. (2019) · British Journal of Educational Technology · doi:10.1111/bjet.12843 · Cited by 27 · see citing works
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Co-designing Large Language Model Tools for Project-Based Learning with K12 Educators
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Rosé, C. P., Goldman, P., Sherer, J. Z., & Resnick, L. Β. (2015) · Cited by 28 · see citing works
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Conversational Agents as Group-Teacher Interaction Mediators in MOOCs
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Impact of Artificial Intelligence on Teacher Education
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Yapay Zekânın Eğitim Sistemine Entegrasyonunun Potansiyel Faydaları
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The Current Advances in AI-Driven Education
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Mirzababaei, B., & Pammer-Schindler, V. (2021) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2021.645516 · Cited by 14 · see citing works
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Meletiadou, E. (2021) · Languages · doi:10.3390/languages6030115 · Cited by 9 · see citing works
Tegos, S. D., Demetriadis, S., & Καρακώστας, Α. (2014) · IEEE International Conference on Advanced Learning Technologies (ICALT) · doi:10.1109/icalt.2014.31 · Cited by 8 · see citing works
Seung, Y., Basham, J. D., Kim, T., & Lohoefener, J. (2025) · Journal of Computer Assisted Learning · doi:10.1111/jcal.70144 · Cited by 7 · see citing works
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Okita, S. Y., & Clarke, S. N. (2021) · Springer eBooks · doi:10.1007/978-3-030-65291-3_22 · Cited by 7 · see citing works
Agent-Based Dynamic Collaboration Support in a Smart Office Space
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Self-citationThe Impact of AI-Based Collaborative Conversational Agents on Metacognitive Awareness
Çini, A., Papadopoulos, P. M., de Araujo, A., & Martens, J. (2025) · Lecture notes in computer science · doi:10.1007/978-3-031-98465-5_27 · Cited by 6 · see citing works
Enhancing Student Dialogue Productivity with Learning Analytics and Fuzzy Rules
de Araujo, A., Martens, J., & Papadopoulos, P. M. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-64299-9_36 · Cited by 6 · see citing works
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Onat, O., & Gülseçen, S. (2023) · International Journal of Technology in Education and Science · doi:10.46328/ijtes.511 · Cited by 6 · see citing works
de Araujo, A., Papadopoulos, P. M., McKenney, S. E., & de Jong, T. (2023) · Computer-supported collaborative learning/The Computer-Supported Collaborative Learning Conference · doi:10.22318/cscl2023.469853 · Cited by 6 · see citing works
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Rosé, C. P., & Dimitriadis, Y. A. (2021) · Springer eBooks · doi:10.1007/978-3-030-65291-3_24 · Cited by 6 · see citing works
Self-citationBreideband, T., Bush, J. B., Reitman, J. G., Rose, S., Weatherley, J., Penuel, W. R., & D’Mello, S. K. (2025) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-025-00509-2 · Cited by 5 · see citing works
Predicting Student Learning from Conversational Cues
Adamson, D., Bharadwaj, A., Singh, A., Ashe, C. A., Yaron, D., & Rosé, C. P. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-07221-0_26 · Cited by 5 · see citing works
Self-citation
- Authors
- Adamson, D., Dyke, G., Jang, H., & Rosé, C. P.
- Affiliations
- Carnegie Mellon University (US)
- Corresponding author
- Rosé, Carolyn Penstein
- Venue
- International Journal of Artificial Intelligence in Education
- Publisher
- Elsevier BV
- Published
- 2014-01
- Volume
- 24
- Issue
- 1
- Pages
- 92-124
- ISSN
- 1560-4292 (ISSN-L)
- OpenAlex
- W2065443038
- Cited by
- 156
- References
- 66
- Citations by year
- 2026: 12 · 2025: 22 · 2024: 15 · 2023: 12 · 2022: 17 · 2021: 15 · 2020: 11 · 2019: 9 · 2018: 6 · 2017: 9 · 2016: 9 · 2015: 12 · 2014: 6 · 2013: 1
- FWCI
- 11.96
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- International Journal of Artificial Intelligence in Education (publishedVersion, cc-by-nc-nd)
- HAL (submittedVersion)
- Funders
- National Science Foundation (0836012, 0835426)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
- Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
- Keywords
- chatbots, dynamic support, cooperative learning, online forums, scaffolding, positive feedback, facilitation techniques, student reasoning, conceptual understanding, adaptive learning support
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