John C. Nesbit - researchr alias

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Viewing Publication 1 - 19 from 19

2022

A microanalysis of learner questions and tutor guidance in simulation-assisted inquiry learningArita L. Liu, Shiva Hajian, Misha Jain, Mari Fukuda, Teeba Obaid, John C. Nesbit, Philip H. Winne. jcal, 38(3):638-650, 2022. [doi]

2021

Modeling undergraduates' selection of course modality: A large sample, multi-discipline studyKevin O'Neill, Natália Lopes, John C. Nesbit, Suzanne Reinhardt, Kanthi Jayasundera. iahe, 48:100776, 2021. [doi]

2020

Dashboards for Computer-Supported Collaborative LearningArita L. Liu, John C. Nesbit. In Maria Virvou, Efthimios Alepis, George A. Tsihrintzis, Lakhmi C. Jain, editors, Machine Learning Paradigms - Advances in Learning Analytics. Volume 158 of Intelligent Systems Reference Library, pages 157-182, Springer, 2020. [doi]

Fine grained analysis of students' online discussion postsMladen Rakovic, Zahia Marzouk, Amna Liaqat, Philip H. Winne, John C. Nesbit. ce, 157:103982, 2020. [doi]

What can completion time of quizzes tell us about students' motivations and learning strategies?Tanya Y. Tan, Misha Jain, Teeba Obaid, John C. Nesbit. jche, 32(2):389-405, 2020. [doi]

2019

nStudy: Software for Learning Analytics about Processes for Self-Regulated LearningPhilip H. Winne, Kenny Teng, Daniel Chang, Michael Pin-Chuan Lin, Zahia Marzouk, John C. Nesbit, Alexandra Patzak, Mladen Rakovic, Donya Samadi, Jovita M. Vytasek. solarjla, 6(2), July 2019. [doi]

2017

nStudy: A System for Researching Information Problem SolvingPhilip H. Winne, John C. Nesbit, Fred Popowich. tkl, 22(3):369-376, 2017. [doi]

2015

Aligning automatically generated questions to instructor goals and learner behaviourLydia Odilinye, Fred Popowich, Evan Zhang, John C. Nesbit, Philip H. Winne. semco 2015: 216-223 [doi]

2014

How Effective are Intelligent Tutoring Systems in Computer Science Education?John C. Nesbit, Olusola O. Adesope, Qing Liu, Wenting Ma. icalt 2014: 99-103 [doi]

2013

Generating Natural Language Questions to Support Learning On-LineDavid Lindberg, Fred Popowich, John C. Nesbit, Philip H. Winne. enlg 2013: 105-114 [doi]

2007

A Framework for Evaluating the Quality of Multimedia Learning ResourcesTracey L. Leacock, John C. Nesbit. ETS, 10(2):44-59, 2007. [doi]

2006

Self-Regulated Learning, Motivation and Goal Theory: Implications for Instructional Design and E-LearningJillianne R. Code, Ken MacAllister, Carmen L. Z. Gress, John C. Nesbit. icalt 2006: 872-874 [doi]

Evaluating Learning Objects Across Boundaries: The Semantics of LocalizationJerry Zhigang Li, John C. Nesbit, Griff Richards. ijdet, 4(1):17-30, 2006. [doi]

2005

Effects of Self-Regulated Learning In ProgrammingVive Kumar, Philip H. Winne, Allyson Hadwin, John C. Nesbit, Dianne Jamieson-Noel, Tom Calvert, Behzad Samin. icalt 2005: 383-387 [doi]

Rating Learning Object Quality with Distributed Bayesian Belief Networks: The Why and the HowVive Kumar, John C. Nesbit, Kate Han. icalt 2005: 685-687 [doi]

2004

Teachers Need Simple, Effective Tools to Evaluate Learning Objects: Enter eLera.netTracey L. Leacock, Griff Richards, John C. Nesbit. cate 2004: 333-338

Crossing Boundaries with Web-Based Tools for Learning Object EvaluationJerry Zhigang Li, John C. Nesbit, Griff Richards. icwl 2004: 286-292 [doi]

Learning Object Evaluation and Convergent Participation: Tools for Professional Development in E-LearningJohn C. Nesbit, Tracey L. Leacock, Cindy Xin, Griff Richards. cate 2004: 339-344

2001

Cooperative and online learning in signal processingAmir Asif, John C. Nesbit. icassp 2001: 2697-2700 [doi]

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