Access the full text.
Sign up today, get DeepDyve free for 14 days.
T. Seifert (2004)
Understanding student motivationEducational Research, 46
James Basham, Tracey Hall, R. Carter, William Stahl (2016)
An Operationalized Understanding of Personalized LearningJournal of Special Education Technology, 31
Adolph Delgado, Liane Wardlow, K. O'Malley, K. McKnight (2015)
Educational Technology: A Review of the Integration, Resources, and Effectiveness of Technology in K-12 ClassroomsJ. Inf. Technol. Educ. Res., 14
G. Sheahan, R. Reznick, D. Klinger, L. Flynn, B. Zevin (2019)
Comparison of Personal Video Technology for Teaching and Assessment of Surgical Skills.Journal of graduate medical education, 11 3
J. Gregg (1968)
APEX: QUALITY INTEGRATED CLASSES IN LOS ANGELES HIGH SCHOOLSEquity & Excellence in Education, 6
Abdulrahman Al-Zahrani (2015)
From passive to active: The impact of the flipped classroom through social learning platforms on higher education students' creative thinkingBr. J. Educ. Technol., 46
Solomon Kompaso, M. Sridevi (2010)
Employee Engagement: The Key to Improving PerformanceInternational Journal of Biometrics, 5
Shaymaa Sorour, Kazumasa Goda, Tsunenori Mine (2017)
Comment Data Mining to Estimate Student Performance Considering Consecutive LessonsJ. Educ. Technol. Soc., 20
Eunji Oh (2004)
The analysis of on-line learning satisfactions among learners who have the different learning stylesJournal on Educational Technology, 20
D. Manthey, M. Fitch (2012)
Stages of competency for medical proceduresThe Clinical Teacher, 9
E. Leeds, S. Campbell, H. Baker, Radwan Ali, Dorothy Brawley, J. Crisp (2013)
The impact of student retention strategies: an empirical studyThe International Journal of Management Education, 7
J. Kruger, D. Dunning (1999)
Unskilled and unaware of it: how difficulties in recognizing one's own incompetence lead to inflated self-assessments.Journal of personality and social psychology, 77 6
Douglas Lynch, Sourena Haj-Mohamadi, Lauren Yeoman, Themistocles Sparangis (2018)
Dramatic Arts Pedagogy & Online Learning: Potential Tool for Learning in a Knowledge Society?Education in the Knowledge Society, 19
Michael Healy, E. Petrusa, C. Axelsson, Praelada Wongsirimeteekul, O. Hamnvik, M. O’Rourke, R. Feinstein, Ruth Steeves, R. Phitayakorn (2018)
An Exploratory Study of a Novel Adaptive e-Learning Board Review Product Helping Candidates Prepare for Certification ExaminationsMedEdPublish, 7
Jenni Majuri, Jonna Koivisto, Juho Hamari (2018)
Gamification of education and learning: A review of empirical literature
Júlio Pereira, P. Kubben, L. Albuquerque, Felipe Batalini, G. Carvalho, A. Sousa (2015)
E-learning for neurosurgeons: Getting the most from the new web toolsAsian Journal of Neurosurgery, 10
Francis Bradley (1997)
From Unconscious Incompetence to Unconscious Competence.Adults Learning, 9
Measuring Capital and Technology
J. Yamashita, Nan Jiang (2010)
L1 Influence on the Acquisition of L2 Collocations: Japanese ESL Users and EFL Learners Acquiring English Collocations.TESOL Quarterly, 44
M. Brookhart, J. Rassen, S. Schneeweiss (2010)
Instrumental variable methods in comparative safety and effectiveness researchPharmacoepidemiology and Drug Safety, 19
P. Samuelson (1979)
Paul Douglas's Measurement of Production Functions and Marginal ProductivitiesJournal of Political Economy, 87
F. Hess, B. Saxberg (2013)
Breakthrough Leadership in the Digital Age: Using Learning Science to Reboot Schooling
T. Rashid, Hanan Asghar (2016)
Technology use, self-directed learning, student engagement and academic performance: Examining the interrelationsComput. Hum. Behav., 63
H. Alharbi, K. Sandhu (2018)
Robust Data Findings of E-Learning Analytics Recommender Systems and Their Impact on System Adoption for Student ExperiencesInt. J. Organ. Collect. Intell., 8
K. Hew, Chen Qiao, Ying Tang (2018)
Understanding Student Engagement in Large-Scale Open Online Courses: A Machine Learning Facilitated Analysis of Student’s Reflections in 18 Highly Rated MOOCsThe International Review of Research in Open and Distributed Learning
R. Sungkur, M. Antoaroo, A. Beeharry (2016)
Eye tracking system for enhanced learning experiencesEducation and Information Technologies, 21
Jacob Bishop, M. Verleger, Embry-Riddle Aeronautical, D. Beach (2013)
The Flipped Classroom: A Survey of the Research
E. Hanushek, S. Durlauf, L. Blume (2020)
Education production functionsThe Economics of Education
J. Hilton (2016)
Open educational resources and college textbook choices: a review of research on efficacy and perceptionsEducational Technology Research and Development, 64
Charles Fadel, B. Trilling (2009)
21st Century Skills: Learning for Life in Our Times
G. Brindley, Helen Slatyer (2002)
Exploring task difficulty in ESL listening assessmentLanguage Testing, 19
J. Kulik, J. Fletcher (2016)
Effectiveness of Intelligent Tutoring SystemsReview of Educational Research, 86
Stephanie Spratt, G. Wiersma, R. Glazier, Denise Pan (2017)
Exploring the Evidence in Evidence-Based AcquisitionThe Serials Librarian, 72
H. Levin, D. Jamison, R. Radner (1976)
Concepts of Economic Efficiency and Educational Production
A. Cameron, P. Trivedi (2005)
Microeconometrics: Methods and Applications
H. Levin, P. McEwan (2000)
Cost-Effectiveness Analysis: Methods and Applications
R. Havighurst, J. Coleman, E. Campbell, C. Hobson, James McPartland, A. Mood, F. Weinfeld, R. York (1967)
Equality of Educational Opportunity.Journal of the American Statistical Association, 62
J. Launer (2010)
Unconscious incompetencePostgraduate Medical Journal, 86
Y. Nie, Gim Tan, A. Liau, S. Lau, B. Chua (2013)
The roles of teacher efficacy in instructional innovation: its predictive relations to constructivist and didactic instructionEducational Research for Policy and Practice, 12
Xianhua Zeng, Yipeng Gao, S. Hou, Shuwen Peng (2015)
Real-Time Multi-scale Tracking via Online RGB-D Multiple Instance LearningJ. Softw., 10
G. Bulman, R. Fairlie (2015)
Technology and Education: Computers, Software, and the InternetERN: Technology (Topic)
J. Boer, Piet Kommers, B. Brock, J. Tolboom (2014)
The influence of prior knowledge and viewing repertoire on learning from videoEducation and Information Technologies, 21
[We posit that while much is made about new technologies, without application of sound learning science principles, the benefits of the new technology may not be realized. This may lead to mis-inferences when conducting evaluations of new technologies where the assumption is that the technology didn’t work when the issue actually related to intervention design or implementation. Using data from a large scale role out of a cutting edge AI-powered personalized learning technology, we explore these issues empirically and also uncover evidence of Maslow’s unconscious incompetence where learners perceive they have more expertise than the demonstrate. Finally, we create a model to compare the personalized learning approaches to a standard asynchronous learning approach applying sound learning science principles and find significant mean performance increase but also large increases in variance with respect to time to completion.]
Published: May 9, 2020
Keywords: Adaptive learning; AI; e-learning; Learning Engineer; Personalized learning; Unconscious incompetence
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.