Most cited papers in Educational Technology and Assessment
What are the most cited papers in Educational Technology and Assessment?
The most cited paper in Educational Technology and Assessment is "The partial least squares approach for structural equation modeling." (Wynne W. Chin, 1998), with 11,711 citations. Next come "Principles and practice of structural equation modeling, 2nd ed." (6,120) and "Principles and practice of structural equation modeling, 3rd ed." (5,310).
Showing 50 of 100 papers. Every paper with more than 188 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | The partial least squares approach for structural equation modeling. Wynne W. Chin | 1998 | 11,711 |
| 2 | Principles and practice of structural equation modeling, 2nd ed. Rex B. Kline | 2005 | 6,120 |
| 3 | Principles and practice of structural equation modeling, 3rd ed. Rex B. Kline | 2011 | 5,310 |
| 4 | Principles and practice of structural equation modeling, 4th ed. Rex B. Kline | 2016 | 3,416 |
| 5 | Feature selection for classification Manoranjan Dash, Hua Liu · Intelligent Data Analysis | 1997 | 2,613 |
| 6 | Educational Data Mining: A Review of the State of the Art Cristóbal Romero, Sebastián Ventura · IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews) | 28 Jul 2010 | 2,203 |
| 7 | Peer Assessment Between Students in Colleges and Universities Keith James Topping · Review of Educational Research | Sep 1998 | 2,051 |
| 8 | Nonnormaland Categorical Data in Structural Equation Modeling Sara J. Finney, Christine DiStefano | 21 Mar 2013 | 1,859 |
| 9 | Essentials of Educational Measurement Alfred D. Garvin, Robert L. Ebel · Educational Researcher | Oct 1980 | 1,491 |
| 10 | The State of Educational Data Mining in 2009: A Review and Future Visions Ryan S. Baker, Kalina Yacef · Zenodo (CERN European Organization for Nuclear Research) | Oct 2009 | 1,299 |
| 11 | A First Course in Factor Analysis Barbara A. Price, Andrew L. Comrey, Howard B. Lee · Technometrics | Nov 1993 | 1,291 |
| 12 | Data mining in course management systems: Moodle case study and tutorial Cristóbal Romero, Sebastián Ventura, Enrique García · Computers & Education | 21 Jul 2007 | 1,057 |
| 13 | Learning analytics and educational data mining George Siemens, Ryan S. Baker | 29 Apr 2012 | 1,057 |
| 14 | Educational Data Mining and Learning Analytics Ryan S. Baker, Paul Salvador Inventado | 2014 | 1,020 |
| 15 | The compact genetic algorithm G.R. Harik, Fernando Graça Lobo, David E. Goldberg · IEEE Transactions on Evolutionary Computation | 1999 | 989 |
| 16 | Errors in Language Learning and Use: Exploring Error Analysis Kathleen M. Broussard, Carl James · TESOL Quarterly | 1999 | 907 |
| 17 | Data mining in education Cristóbal Romero, Sebastián Ventura · Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery | 14 Dec 2012 | 798 |
| 18 | Estimates and tests in structural equation modeling. Chih‐Ping Chou, Peter M. Bentler | 1995 | 732 |
| 19 | ASSESSMENT – SUMMATIVE AND FORMATIVE – SOME THEORETICAL REFLECTIONS Maddalena Taras · British Journal of Educational Studies | 21 Nov 2005 | 731 |
| 20 | Data mining techniques and applications – A decade review from 2000 to 2011 Shu-Hsien Liao, Pei-hui Chu, Pei-Yuan Hsiao · Expert Systems with Applications | 27 Feb 2012 | 667 |
| 21 | Educational data mining: A survey and a data mining-based analysis of recent works Alejandro Peña‐Ayala · Expert Systems with Applications | 29 Aug 2013 | 659 |
| 22 | Analyzing undergraduate students' performance using educational data mining Raheela Asif, Agathe Merceron, Syed Abbas Ali et al. · Computers & Education | 22 May 2017 | 584 |
| 23 | Review of recent systems for automatic assessment of programming assignments Petri Ihantola, Tuukka Ahoniemi, Ville Karavirta et al. | 28 Oct 2010 | 554 |
| 24 | Predicting students' final performance from participation in on-line discussion forums Cristóbal Romero, Manuel-Ignacio López, José María Luna et al. · Computers & Education | 28 Jun 2013 | 547 |
| 25 | An automated essay scoring systems: a systematic literature review Dadi Ramesh, Suresh Kumar Sanampudi · Artificial Intelligence Review | 23 Sep 2021 | 533 |
| 26 | A Systematic Review on Educational Data Mining Ashish Dutt, Maizatul Akmar Ismail, Tutut Herawan · IEEE Access | 2017 | 525 |
| 27 | AUTOMATED ESSAY SCORING WITH E‐RATER® V.2.0 Yigal Attali, Jill C. Burstein · ETS Research Report Series | Dec 2004 | 521 |
| 28 | A Systematic Review of Automatic Question Generation for Educational Purposes Ghader Reda Kurdi, Jared Leo, Bijan Parsia et al. · International Journal of Artificial Intelligence in Education | 21 Nov 2019 | 497 |
| 29 | Personalized e-learning system using Item Response Theory Chih‐Ming Chen, Hahn-Ming Lee, Yahui Chen · Computers & Education | 20 Mar 2004 | 484 |
| 30 | Enhancing the prediction of student performance based on the machine learning XGBoost algorithm Amal Asselman, Mohamed Khaldi, Souhaib Aammou · Interactive Learning Environments | 19 May 2021 | 480 |
| 31 | A New Dataset and Method for Automatically Grading ESOL Texts Helen Yannakoudakis, Ted Briscoe, Ben Medlock | 19 Jun 2011 | 476 |
| 32 | Personalized mobile English vocabulary learning system based on item response theory and learning memory cycle Chih‐Ming Chen, Ching-Ju Chung · Computers & Education | 11 Aug 2007 | 445 |
| 33 | Artificial Intelligence for Assessment and Feedback to Enhance Student Success in Higher Education Monika Hooda, Chhavi Rana, Omdev Dahiya et al. · Mathematical Problems in Engineering | 5 May 2022 | 436 |
| 34 | Teaching With Rubrics: The Good, the Bad, and the Ugly Heidi Goodrich Andrade · College Teaching | 2005 | 436 |
| 35 | A two-tier test approach to developing location-aware mobile learning systems for natural science courses Hui‐Chun Chu, Gwo‐Jen Hwang, Chin‐Chung Tsai et al. · Computers & Education | 14 Jul 2010 | 428 |
| 36 | An algorithm andFortran-iv program for large-scaleQ-mode factor analysis and calculation of factor scores J. E. Klovan, John Z Imbrie · Mathematical Geology | Mar 1971 | 414 |
| 37 | An Overview of Automated Scoring of Essays. Semire Dikli · The Journal of Technology, Learning and Assessment (Boston College) | 16 Aug 2006 | 395 |
| 38 | Structure and interpretation of computer programs Kenneth D. Forbus · Artificial Intelligence | Sep 1985 | 395 |
| 39 | Cosine similarity to determine similarity measure: Study case in online essay assessment Alfirna Rizqi Lahitani, Adhistya Erna Permanasari, Noor Akhmad Setiawan | Apr 2016 | 393 |
| 40 | Factors Affecting Guessing Vocabulary in Context Liu Na, Paul Nation · RELC Journal | Jun 1985 | 387 |
| 41 | AN ITEM ANALYSIS WHICH TAKES INDIVIDUAL DIFFERENCES INTO ACCOUNT Gernot Rasch · British Journal of Mathematical and Statistical Psychology | May 1966 | 380 |
| 42 | A Global Information Approach to Computerized Adaptive Testing Hua-Hua Chang, Zhiliang Ying · Applied Psychological Measurement | Sep 1996 | 371 |
| 43 | Measurement and Assessment in Education Cecil R. Reynolds, Ronald B. Livingston, Victor L. Willson | 6 May 2005 | 360 |
| 44 | Data Mining Algorithms to Classify Students Cristóbal Romero, Sebastián Ventura, Pedro G. Espejo et al. | 20 Jun 2008 | 344 |
| 45 | Automatic structural testing using genetic algorithms Bryan F. Jones, Harmen-Hinrich Sthamer, D.E. Eyres · Software Engineering Journal | 1996 | 339 |
| 46 | Predicting student performance: an application of data mining methods with an educational web-based system Behrouz Minaei Bidgoli, Deborah A. Kashy, Gerd Kortemeyer et al. | 8 Jul 2004 | 334 |
| 47 | A Survey of Artificial Intelligence Techniques Employed for Adaptive Educational Systems within E-Learning Platforms Khalid Colchester, Hani Hagras, Daniyal Alghazzawi et al. · Journal of Artificial Intelligence and Soft Computing Research | 17 Dec 2016 | 331 |
| 48 | FOUNDATION OF EVALUATION C. J. van Rijsbergen · Journal of Documentation | Apr 1974 | 331 |
| 49 | An Overview of Current Research on Automated Essay Grading Salvatore Valenti, Francesca Neri, Alessandro Cucchiarelli · Journal of Information Technology Education Research | 2003 | 317 |
| 50 | On-line peer assessment and the role of the peer feedback: A study of high school computer course Sheng-Chau Tseng, Chin‐Chung Tsai · Computers & Education | 21 Mar 2006 | 294 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for a field when OpenAlex files it under one of the field's topics; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.