Predicting Long-Term Student Outcomes from Short-Term EdTech Log Data

Authors: Gao, Ge, Leon, Amelia, Jetten, Andrea, Turner, Jasmine, Almoubayyed, Husni, Fancsali, Stephen, Brunskill, Emma

Subject Terms: Computer Science - Computers and Society, Computer Science - Human-Computer Interaction, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2412.15473

Can Large Language Models Replicate ITS Feedback on Open-Ended Math Questions?

Authors: McNichols, Hunter, Lee, Jaewook, Fancsali, Stephen, Ritter, Steve, Lan, Andrew

Subject Terms: Computer Science - Computation and Language

Access URL: http://arxiv.org/abs/2405.06414

Generalizing Predictive Models of Reading Ability in Adaptive Mathematics Software

Authors: Almoubayyed, Husni, Fancsali, Stephen E., Ritter, Steve

Source: International Educational Data Mining Society. 2023.

Peer Reviewed: Y

Page Count: 10

Sponsoring Agency: National Science Foundation (NSF)
Institute of Education Sciences (ED)

Descriptors: Prediction, Models, Reading Ability, Computer Software, Mathematics Instruction, Intelligent Tutoring Systems, Middle School Students, Language Arts, Academic Achievement, Standardized Tests, Grade 7, Reading Comprehension

IES Funded: Yes

Improving Student Learning with Hybrid Human-AI Tutoring: A Three-Study Quasi-Experimental Investigation

Authors: Thomas, Danielle R., Lin, Jionghao, Gatz, Erin, Gurung, Ashish, Gupta, Shivang, Norberg, Kole, Fancsali, Stephen E., Aleven, Vincent, Branstetter, Lee, Brunskill, Emma, Koedinger, Kenneth R.

Subject Terms: Computer Science - Human-Computer Interaction

Access URL: http://arxiv.org/abs/2312.11274

Evaluating Gaming Detector Model Robustness over Time

Authors: Levin, Nathan, Baker, Ryan S., Nasiar, Nidhi, Fancsali, Stephen, Hutt, Stephen

Source: International Educational Data Mining Society. 2022.

Peer Reviewed: Y

Page Count: 8

Sponsoring Agency: National Science Foundation (NSF)

Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Models, Cheating, Student Behavior, Deception, Prediction, Reliability, Algorithms

'Closing the Loop' in Educational Data Science with an Open Source Architecture for Large-Scale Field Trials

Authors: Fancsali, Stephen E., Murphy, April, Ritter, Steve

Source: International Educational Data Mining Society. 2022.

Peer Reviewed: Y

Page Count: 5

Sponsoring Agency: Institute of Education Sciences (ED)
National Science Foundation (NSF)

Descriptors: Learning Analytics, Educational Technology, Barriers, Data Analysis, Teaching Methods, Intervention, Outcomes of Education, Open Source Technology, Internet, Learning Processes, Correlation, Computer Software, Integrated Learning Systems

IES Funded: Yes

Towards the Future of AI-Augmented Human Tutoring in Math Learning
24th International conference on artificial intelligence in education, AIED 2023

Authors: Aleven, Vincent, Baraniuk, Richard, Brunskill, Emma, Crossley, Scott, Demszky, Dora, Fancsali, Stephen, Gupta, Shivang, Koedinger, Kenneth, Piech, Chris, Ritter, Steve

Source: Communications in computer and information science. 1831:25-31

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCCN608340619&indx=1&recIds=ETOCCN608340619

Rewriting Math Word Problems to Improve Learning Outcomes for Emerging Readers: A Randomized Field Trial in Carnegie Learning's MATHia
24th International conference on artificial intelligence in education, AIED 2023

Authors: Almoubayyed, Husni, Bastoni, Rae, Berman, Susan R., Galasso, Sarah, Jensen, Megan, Lester, Leila, Murphy, April, Swartz, Mark, Weldon, Kyle, Fancsali, Stephen E.

Source: Communications in computer and information science. 1831:200-205

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCCN608340888&indx=1&recIds=ETOCCN608340888

Targeting Design-Loop Adaptivity

Authors: Fancsali, Stephen E., Li, Hao, Sandbothe, Michael, Ritter, Steven

Source: International Educational Data Mining Society. 2021.

Peer Reviewed: Y

Page Count: 8

Sponsoring Agency: National Science Foundation (NSF)

Descriptors: Instructional Development, Instructional Improvement, Data Use, Educational Technology, Intelligent Tutoring Systems, Artificial Intelligence, Mathematics Instruction, Mastery Learning, Middle School Students, Grade 6, Grade 7, Grade 8, Prediction

Instruction-Embedded Assessment for Reading Ability in Adaptive Mathematics Software

Authors: Almoubayyed, Husni (ORCID 0000-0001-5717-9310), Fancsali, Stephen E. (ORCID 0000-0002-4016-8145), Ritter, Steve (ORCID 0000-0003-2807-9390)

Source: Grantee Submission. 2023Paper presented at the International Learning Analytics and Knowledge Conference (13th, 2023).

Peer Reviewed: Y

Page Count: 21

Sponsoring Agency: Institute of Education Sciences (ED)

Descriptors: Reading Ability, Computer Software, Mathematics Education, Intelligent Tutoring Systems, Middle School Students, Prediction, Educational Technology, Mathematical Concepts, Concept Formation, Summative Evaluation

IES Funded: Yes

Towards Practical Detection of Unproductive Struggle

Authors: Fancsali, Stephen E., Holstein, Kenneth, Sandbothe, Michael, Ritter, Steven, McLaren, Bruce M., Aleven, Vincent

Source: Grantee Submission. 2020Paper presented at the International Conference on Artificial Intelligence in Education (AIED) (21st, 2020).

Peer Reviewed: Y

Page Count: 6

Sponsoring Agency: Institute of Education Sciences (ED)
National Science Foundation (NSF)

Descriptors: Artificial Intelligence, Automation, Persistence, Intelligent Tutoring Systems, Alignment (Education), Mastery Learning, Mathematics Instruction, Prediction, Educational Technology

IES Funded: Yes

Early Detection of Wheel Spinning: Comparison across Tutors, Models, Features, and Operationalizations

Authors: Zhang, Chuankai, Huang, Yanzun, Wang, Jingyu, Lu, Dongyang, Fang, Weiqi, Stamper, John, Fancsali, Stephen, Holstein, Kenneth, Aleven, Vincent

Source: International Educational Data Mining Society. 2019.

Peer Reviewed: Y

Page Count: 6

Sponsoring Agency: Institute of Education Sciences (ED)

Descriptors: Identification, Intelligent Tutoring Systems, Academic Failure, Criteria, Algebra, Geometry, Mathematics Instruction, Models, Comparative Analysis, Knowledge Level

IES Funded: Yes

Constructing categories: Moving beyond protected classes in algorithmic fairness

Authors: Belitz, Clara, Ocumpaugh, Jaclyn, Ritter, Steven, Baker, Ryan S., Fancsali, Stephen E., Bosch, Nigel

Source: Journal of the Association for Information Science and Technology. 74(6):663-668

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100181050293.0x000001&indx=1&recIds=ETOCvdc_100181050293.0x000001

Using Instruction-Embedded Formative Assessment to Predict State Summative Test Scores and Achievement Levels in Mathematics

Authors: Zheng, Guoguo, Fancsali, Stephen E., Ritter, Steven, Berman, Susan R.

Source: Journal of Learning Analytics. 2019 6(2):153-174.

Peer Reviewed: Y

Page Count: 22

Descriptors: Formative Evaluation, Predictor Variables, Summative Evaluation, Scores, Mathematics Instruction, Accountability, Models, Intelligent Tutoring Systems, Mathematics Achievement, Grade 6, Grade 7, Grade 8, Public Schools, Achievement Tests, Standardized Tests, State Standards

Geographic Terms: Florida

Assessment and Survey Identifiers: Florida Comprehensive Assessment Test

Intelligent Instructional Hand Offs

Authors: Fancsali, Stephen E., Yudelson, Michael V., Berman, Susan R., Ritter, Steven

Source: International Educational Data Mining Society. 2018.

Peer Reviewed: Y

Page Count: 10

Sponsoring Agency: US Department of Defense

Descriptors: Intelligent Tutoring Systems, Tutors, Higher Education, Online Courses, Remedial Mathematics, Prediction

Teachers' Orchestration Needs During the Shift to Remote Learning
16th Technology enhanced learning International conference, EC-TEL

Authors: Lawrence, LuEttaMae, Holstein, Kenneth, Berman, Susan R., Fancsali, Stephen, McLaren, Bruce M., Ritter, Steven, Aleven, Vincent

Source: Lecture notes in computer science. 12884:347-351

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCCN607078669&indx=1&recIds=ETOCCN607078669

Scaffolds and Nudges: A Case Study in Learning Engineering Design Improvements
Artificial intelligence in education (International conference)

Authors: Fancsali, Stephen E., Pavelko, Martina, Fisher, Josh, Wheeler, Leslie, Ritter, Steven

Source: Lecture notes in computer science. 12749:441-445

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCCN606886869&indx=1&recIds=ETOCCN606886869

Differentiation and Mastery Learning in Practice: Metrics and Visualizations for Cognitive Tutor Algebra
Artificial Intelligence in Education: 17th International Conference, AIED 2015

Authors: Fancsali, Stephen E., Joshi, Ambarish, Ritter, Steven

Source: Lecture notes in computer science. 9112:895-896

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCCN600384350&indx=1&recIds=ETOCCN600384350

Using embedded formative assessment to predict state summative test scores.

Authors: Fancsali, Stephen E., Zheng, Guoguo, Tan, Yanyan, Ritter, Steven, Berman, Susan R., Galyardt, April

Source: ACM International Conference Proceeding Series; 3/7/2018, p161-170, 10p

How Mastery Learning Works at Scale.

Authors: Ritter, Steve, Yudelson, Michael, Fancsali, Stephen E., Berman, Susan R.

Source: Proceedings of the Third ACM Conference Learning @ Scale; 2016, p71-79, 9p