Educational Data Mining: A review of the state of the art

Evaluating collaborative filtering recommender systems

Herlocker, J. L., Konstan, J. A., Terveen, L. G., & Riedl, J. T. (2004) · ACM Transactions on Information Systems · doi:10.1145/963770.963772 · Cited by 5,798 · see citing works

Applied Regression Analysis

Draper, N. R., & Smith, H. (1998) · Wiley series in probability and statistics · doi:10.1002/9781118625590 · Cited by 5,086 · see citing works

Applied Regression Analysis

Gunst, R. F., Draper, N. R., & Smith, H. C. (1999) · Technometrics · doi:10.2307/1270576 · Cited by 3,795 · see citing works

Cluster analysis for researchers

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A teoria subjacente aos mapas conceituais e como elabora-los e usa-los

Novak, J. D., & Cañas, A. J. (2010) · Praxis Educativa · doi:10.5212/praxeduc.v.5i1.009029 · Cited by 1,681 · see citing works

Educational data mining: A survey from 1995 to 2005

Romero, C., & Ventura, S. (2006) · Expert Systems with Applications · doi:10.1016/j.eswa.2006.04.005 · Cited by 1,490 · see citing works

The State of Educational Data Mining in 2009: A Review and Future Visions

Baker, R. S. J. D., & Yacef, K. (2009) · Journal of Educational Data Mining · doi:10.5281/zenodo.3554657 · Cited by 1,365 · see citing works

The State of Educational Data Mining in 2009: A Review and Future Visions

Baker, R. S., & Yacef, K. (2009) · Journal of Educational Data Mining · doi:10.5281/zenodo.3554658 · Cited by 1,296 · see citing works

Data mining in course management systems: Moodle case study and tutorial

Romero, C., Ventura, S., & Salcines, E. G. (2007) · Computers & Education · doi:10.1016/j.compedu.2007.05.016 · Cited by 1,061 · see citing works

Cluster Analysis for Researchers

Milligan, G. W., & Romesburg, H. C. (1985) · Journal of Marketing Research · doi:10.2307/3151374 · Cited by 1,009 · see citing works

The theory underlying concept maps and how to construct and use them

Cañas, A. J., & Novak, J. D. (2010) · DOAJ (DOAJ: Directory of Open Access Journals) · Cited by 956 · see citing works

International encyclopedia of education

Peterson, P. L. (2010) · Cited by 716 · see citing works

A Survey on the Application of Genetic Programming to Classification

Espejo, P. G., Ventura, S., & Herrera, F. (2009) · IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews) · doi:10.1109/tsmcc.2009.2033566 · Cited by 644 · see citing works

Handbook of Educational Data Mining

Mavrikis, M., D'Mello, S., Porayska‐Pomsta, K., Cocea, M., & Graesser, A. C. (2010) · CRC Press eBooks · doi:10.1201/b10274 · Cited by 586 · see citing works

Statistics, 4th ed.

Hays, W. L. (1988) · Cited by 463 · see citing works

Evaluating Bayesian networks’ precision for detecting students’ learning styles

García, P., Amandi, A., Schiaffino, S., & Campo, M. (2005) · Computers & Education · doi:10.1016/j.compedu.2005.11.017 · Cited by 445 · see citing works

Dropout prediction in e-learning courses through the combination of machine learning techniques

Lykourentzou, I., Giannoukos, I., Nikolopoulos, V., Mpardis, G., & Loumos, V. G. (2009) · Computers & Education · doi:10.1016/j.compedu.2009.05.010 · Cited by 401 · see citing works

Building a recommender agent for e-learning systems

Zai͏̈ane, O. R. (2003) · doi:10.1109/cie.2002.1185862 · Cited by 391 · see citing works

Predicting Students Drop Out: A Case Study

Dekker, G. G., Pechenizkiy, M., & Vleeshouwers, J. J. (2009) · TU/e Research Portal · Cited by 381 · see citing works

Data Mining Algorithms to Classify Students

Romero, C., Ventura, S., Espejo, P. G., & Hervás‐Martínez, C. (2008) · Cited by 376 · see citing works

Automatic Recommendations for E-Learning Personalization Based on Web Usage Mining Techniques and Information Retrieval

Khribi, M. K., Jemni, M., & Nasraoui, O. (2008) · IEEE International Conference on Advanced Learning Technologies (ICALT) · doi:10.1109/icalt.2008.198 · Cited by 365 · see citing works

Detecting Student Misuse of Intelligent Tutoring Systems

Baker, R. S., Corbett, A. T., & Koedinger, K. R. (2004) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-30139-4_50 · Cited by 353 · see citing works

Association Rule Mining

Zhang, C., & Zhang, S. (2002) · Lecture notes in computer science · doi:10.1007/3-540-46027-6 · Cited by 346 · see citing works

Predicting student performance: an application of data mining methods with an educational web-based system

Bidgoli, B. M., Kashy, D. A., Kortemeyer, G., & Punch, W. F. (2004) · IEEE Frontiers in Education Conference (FIE) · doi:10.1109/fie.2003.1263284 · Cited by 334 · see citing works

Clustering and Sequential Pattern Mining of Online Collaborative Learning Data

Perera, D., Kay, J., Koprinska, I., Yacef, K., & Zai͏̈ane, O. R. (2009) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2008.138 · Cited by 298 · see citing works

What Satisfies Students? Mining Student-Opinion Data with Regression and Decision Tree Analysis

Thomas, E. H., & Galambos, N. (2004) · Research in Higher Education · doi:10.1023/b:rihe.0000019589.79439.6e · Cited by 281 · see citing works

Applying Data Mining Techniques to e-Learning Problems

Castro, F., Vellido, A., Àngela Nebot, B., & Mugica, F. (2007) · Studies in computational intelligence · doi:10.1007/978-3-540-71974-8_8 · Cited by 280 · see citing works

Examining trace data to explore self-regulated learning

Hadwin, A. F., Nesbit, J. C., Jamieson‐Noel, D., Code, J., & Winne, P. H. (2007) · Metacognition and Learning · doi:10.1007/s11409-007-9016-7 · Cited by 279 · see citing works

Introduction to Information Visualization

Davis, J., & Reagan, D. (2009) · Springer eBooks · doi:10.1007/978-1-84800-219-7 · Cited by 264 · see citing works

Web Usage Mining for a Better Web-Based Learning Environment

Zai͏̈ane, O. R. (2001) · PubMed · doi:10.7939/r3736m20p · Cited by 262 · see citing works

Predictors of web-student performance: the role of self-efficacy and reasons for taking an on-line class

Wang, A. Y., & Newlin, M. H. (2002) · Computers in Human Behavior · doi:10.1016/s0747-5632(01)00042-5 · Cited by 257 · see citing works

Using data mining as a strategy for assessing asynchronous discussion forums

Dringus, L. P., & Ellis, T. J. (2004) · Computers & Education · doi:10.1016/j.compedu.2004.05.003 · Cited by 240 · see citing works

Personal recommender systems for learners in lifelong learning networks: the requirements, techniques and model

Drachsler, H., Hummel, H. G. K., & Koper, R. (2008) · International Journal of Learning Technology · doi:10.1504/ijlt.2008.019376 · Cited by 240 · see citing works

Adaptive Learning Resources Sequencing in Educational Hypermedia Systems

Karampiperis, P., & Sampson, D. G. (2005) · Cited by 233 · see citing works

Modeling and understanding students' off-task behavior in intelligent tutoring systems

Baker, R. S. (2007) · ACM SIGCHI Conference on Human Factors in Computing Systems (CHI) · doi:10.1145/1240624.1240785 · Cited by 230 · see citing works

Smart Recommendation for an Evolving E-Learning System: Architecture and Experiment

Tang, T. Y., & McCalla, G. (2005) · PolyU Institutional Research Archive (Hong Kong Polytechnic University) · Cited by 228 · see citing works

How Social Network Analysis can help to Measure Cohesion in Collaborative Distance-Learning

Reffay, C., & Chanier, T. (2003) · Springer eBooks · doi:10.1007/978-94-017-0195-2_42 · Cited by 186 · see citing works

Predicting Students' Academic Performance using Artificial Neural Network: A Case Study of an Engineering Course.

Oladokun, V. O., Adebanjo, A. S., & Charles-Owaba, O. E. (2008) · Cited by 181 · see citing works

Applying Web usage mining for personalizing hyperlinks in Web-based adaptive educational systems

Romero, C., Ventura, S., Zafra, A., & Bra, P. M. D. (2009) · Computers & Education · doi:10.1016/j.compedu.2009.05.003 · Cited by 168 · see citing works

Knowledge Discovery with Genetic Programming for Providing Feedback to Courseware Authors

Romero, C., Ventura, S., & Bra, P. M. D. (2004) · User Modeling and User-Adapted Interaction · doi:10.1007/s11257-004-7961-2 · Cited by 166 · see citing works

A learning style classification mechanism for e-learning

Chang, Y.-C., Kao, W.-Y., Chu, C., & Chiu, C. (2009) · Computers & Education · doi:10.1016/j.compedu.2009.02.008 · Cited by 164 · see citing works

Effective personalized recommendation based on time-framed navigation clustering and association mining

Wang, F.-H., & Shao, H.-M. (2004) · Expert Systems with Applications · doi:10.1016/j.eswa.2004.05.005 · Cited by 159 · see citing works

A Personalized e-Learning material Recommender System

Lü, J. (2004) · OPUS - Open Publications of UTS Scholars (University of Technology Sydney) · Cited by 158 · see citing works

An architecture for making recommendations to courseware authors using association rule mining and collaborative filtering

Salcines, E. G., Romero, C., Ventura, S., & Lozano, C. D. C. (2008) · User Modeling and User-Adapted Interaction · doi:10.1007/s11257-008-9047-z · Cited by 155 · see citing works

The Q-matrix Method: Mining Student Response Data for Knowledge

Barnes, T. M. (2005) · Cited by 151 · see citing works

Educational Data Mining: a Case Study

Merceron, A., & Yacef, K. (2005) · Cited by 145 · see citing works

Toward Automatic Hint Generation for Logic Proof Tutoring Using Historical Student Data

Barnes, T. M., & Stamper, J. C. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-69132-7_41 · Cited by 141 · see citing works

Data Mining in E-Learning

(2006) · WIT transactions on state-of-the-art in science and engineering · doi:10.2495/1-84564-152-3 · Cited by 134 · see citing works

Social Navigation Support in a Course Recommendation System

Farzan, R., & Brusilovsky, P. L. (2006) · Lecture notes in computer science · doi:10.1007/11768012_11 · Cited by 134 · see citing works

Some useful tactics to modify, map and mine data from intelligent tutors

Mostow, J., & Beck, J. E. (2006) · Natural Language Engineering · doi:10.1017/s1351324906004153 · Cited by 132 · see citing works

Targeting the right students using data mining

Ma, Y., Liu, B., Wong, C. K., Yu, P. S., & Lee, S. M. (2000) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/347090.347184 · Cited by 129 · see citing works

Mining e-Learning domain concept map from academic articles

Chen, N., Kinshuk, K., Wei, C., & Chen, H.-J. (2006) · Computers & Education · doi:10.1016/j.compedu.2006.10.001 · Cited by 126 · see citing works

Comparison of Machine Learning Methods for Intelligent Tutoring Systems

Hämäläinen, W., & Vinni, M. (2006) · Lecture notes in computer science · doi:10.1007/11774303_52 · Cited by 122 · see citing works

High-Level Student Modeling with Machine Learning

Beck, J. E., & Woolf, B. P. (2000) · Lecture notes in computer science · doi:10.1007/3-540-45108-0_62 · Cited by 121 · see citing works

Recommendation in Higher Education Using Data Mining Techniques.

Vialardi, C., Bravo, J., Shafti, L. S., & Ortigosa, Á. (2009) · Biblos-e Archivo (Universidad Autónoma de Madrid) · Cited by 121 · see citing works

Discovering genres of online discussion threads via text mining

Lin, F., Hsieh, L.-S., & Chuang, F.-T. (2008) · Computers & Education · doi:10.1016/j.compedu.2008.10.005 · Cited by 119 · see citing works

A new approach for constructing the concept map

Tseng, S., Sue, P.-C., Su, J., Weng, J.-F., & Tsai, W.-N. (2005) · Computers & Education · doi:10.1016/j.compedu.2005.11.020 · Cited by 119 · see citing works

Determination of factors influencing the achievement of the first-year university students using data mining methods

Superby, J.-F., Meskens, N., & Vandamme, J.-P. (2006) · Digital Access to Libraries · Cited by 112 · see citing works

Combining Unsupervised and Supervised Classification to Build User Models for Exploratory Learning Environments

Amershi, S., & Conati, C. (2009) · Journal of Educational Data Mining · doi:10.5281/zenodo.3554659 · Cited by 110 · see citing works

GISMO: a Graphical Interactive Student Monitoring Tool for Course Management Systems

Mazza, R., & Milani, C. (2004) · doi:10.71910/supsi.9280 · Cited by 109 · see citing works

An Open Repository and analysis tools for fine-grained, longitudinal learner data.

Koedinger, K. R., Cunningham, K., Skogsholm, A., & Leber, B. (2008) · Educational Data Mining · Cited by 108 · see citing works

Evolutionary algorithms for subgroup discovery in e-learning: A practical application using Moodle data

Romero, C., González, P., Ventura, S., del Jesús, M. J., & Herrera, F. (2007) · Expert Systems with Applications · doi:10.1016/j.eswa.2007.11.026 · Cited by 108 · see citing works

Mobile formative assessment tool based on data mining techniques for supporting web-based learning

Chen, C., & Chen, M.-C. (2008) · Computers & Education · doi:10.1016/j.compedu.2008.08.005 · Cited by 107 · see citing works

Data Mining Application in Higher Learning Institutions

Delavari, N., Phon-Amnuaisuk, S., & Beikzadeh, M. R. (2008) · Informatics in Education · doi:10.15388/infedu.2008.03 · Cited by 106 · see citing works

Application of automatically constructed concept map of learning to conceptual diagnosis of e-learning

Lee, C.-H., Lee, G., & Leu, Y. (2007) · Expert Systems with Applications · doi:10.1016/j.eswa.2007.11.049 · Cited by 103 · see citing works

A novel approach for assisting teachers in analyzing student web-searching behaviors

Hwang, G., Tsai, P.-S., Tsai, C., & Tseng, J. C. R. (2007) · Computers & Education · doi:10.1016/j.compedu.2007.09.011 · Cited by 102 · see citing works

Data mining in the e‐learning domain

Hanna, M. (2004) · Campus-Wide Information Systems · doi:10.1108/10650740410512301 · Cited by 100 · see citing works

Interestingness Measures for Associations Rules in Educational Data.

Merceron, A., & Yacef, K. (2008) · Educational Data Mining · Cited by 96 · see citing works

A Bayes Net Toolkit for Student Modeling in Intelligent Tutoring Systems

Chang, K.-M. K., Beck, J. E., Mostow, J., & Corbett, A. T. (2006) · Lecture notes in computer science · doi:10.1007/11774303_11 · Cited by 92 · see citing works

Mining fuzzy association rules from questionnaire data

Chen, Y., & Weng, C.-H. (2008) · Knowledge-Based Systems · doi:10.1016/j.knosys.2008.06.003 · Cited by 89 · see citing works

Student Academic Performance Monitoring and Evaluation Using Data Mining Techniques

Ogor, E. N. (2007) · Electronics, Robotics and Automotive Mechanics Conference · doi:10.1109/cerma.2007.4367712 · Cited by 87 · see citing works

Survey of Data Mining Approaches to User Modeling for Adaptive Hypermedia

Frı́as-Martı́nez, E., Chen, S., & Liu, X. (2006) · IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews) · doi:10.1109/tsmcc.2006.879391 · Cited by 85 · see citing works

Web Usage Mining Project for Improving Web-Based Learning Sites

Zorrilla, M. E., Menasalvas, E., Marín, D., Mora, E., & Segovia, J. (2005) · Lecture notes in computer science · doi:10.1007/11556985_26 · Cited by 84 · see citing works

Predicting students marks in Hellenic Open University

Kotsiantis, S. B., & Pintelas, P. (2005) · IEEE International Conference on Advanced Learning Technologies (ICALT) · doi:10.1109/icalt.2005.223 · Cited by 83 · see citing works

Mining Student Data Captured from a Web-Based Tutoring Tool: Initial Exploration and Results

Merceron, A., & Yacef, K. (2004) · The Journal of Interactive Learning Research · Cited by 77 · see citing works

Mining interesting contrast rules for a web-based educational system

Bidgoli, B. M., Tan, P., & Punch, W. F. (2005) · International Conference on Machine Learning and Applications · doi:10.1109/icmla.2004.1383530 · Cited by 76 · see citing works

Mining open answers in questionnaire data

Yamanishi, K., & Li, H. (2002) · IEEE Intelligent Systems · doi:10.1109/mis.2002.1039833 · Cited by 76 · see citing works

Discovering Decision Knowledge from Web Log Portfolio for Managing Classroom Processes by Applying Decision Tree and Data Cube Technology

Chen, G., Liu, C., Ou, K.-L., & Liu, B.-J. (2000) · Journal of Educational Computing Research · doi:10.2190/5jnm-b6hp-yc58-pm5y · Cited by 74 · see citing works

Mining log data for the analysis of learners’ behaviour in web-based learning management systems

Psaromiligkos, Y., Orfanidou, M., Kytagias, C., & Zafiri, E. (2009) · Operational Research · doi:10.1007/s12351-008-0032-4 · Cited by 73 · see citing works

Data Mining Technology for the Evaluation of Web-based Teaching and Learning Systems

Donnellan, D., & Pahl, C. (2002) · Cited by 72 · see citing works

Web mining for distance education

Ha, S. H., Bae, S. M., & Park, S. C. (2002) · IEEE International Conference on Management of Innovation and Technology (ICMIT) · doi:10.1109/icmit.2000.916789 · Cited by 72 · see citing works

Collaborative filtering and inference rules for context‐aware learning object recommendation

Daniel Lemire, A., Boley, H., McGrath, S., & Ball, M. (2005) · Interactive Technology and Smart Education · doi:10.1108/17415650580000043 · Cited by 69 · see citing works

Inferring Student Learning Behaviour from Website Interactions: A Usage Analysis

Sheard, J., Ceddia, J., Hurst, J., & Tuovinen, J. E. (2003) · Education and Information Technologies · doi:10.1023/a:1026360026073 · Cited by 69 · see citing works

Process Mining Online Assessment Data

Pechenizkiy, M., Trčka, N., Vasilyeva, E., van der Aalst, W. M. P., & Bra, P. P. D. (2009) · TU/e Research Portal · Cited by 68 · see citing works

E-learning personalization based on itineraries and long-term navigational behavior

Mor, E., & Minguillón, J. (2004) · doi:10.1145/1013367.1013427 · Cited by 67 · see citing works

Data mining in personalizing distance education courses

Hämäläinen, W., Laine, T. H., & Sutinen, E. (2006) · WIT transactions on state-of-the-art in science and engineering · doi:10.2495/1-84564-152-3/09 · Cited by 67 · see citing works

Informing Teachers Live about Student Learning: Reporting in Assistment System

Feng, M., & Heffernan, N. T. (2005) · Cited by 66 · see citing works

Can log files analysis estimate learners' level of motivation?

Cocea, M., & Weibelzahl, S. (2006) · HilDok – Institutional Repository (Universität Hildesheim) · Cited by 66 · see citing works

Predicting Academic Performance

Golding, P., & Donaldson, O. (2006) · 2022 IEEE Frontiers in Education Conference (FIE) · doi:10.1109/fie.2006.322661 · Cited by 64 · see citing works

A decision support system for evaluating international student applications

Hien, N. T. N., & Haddawy, P. (2007) · 2022 IEEE Frontiers in Education Conference (FIE) · doi:10.1109/fie.2007.4417958 · Cited by 64 · see citing works

Towards Networked Learning Analytics - A Concept and a Tool

Retalis, S., Papasalouros, A., Psaromiligkos, Y., Siscos, S., & Kargidis, T. (2006) · Proceedings of the International Conference on Networked Learning · doi:10.54337/nlc.v5.9471 · Cited by 62 · see citing works

Cross-System Validation of Engagement Prediction from Log Files

Cocea, M., & Weibelzahl, S. (2007) · Lecture notes in computer science · doi:10.1007/978-3-540-75195-3_2 · Cited by 60 · see citing works

Data mining in e-commerce: A survey

Raghavan, N. R. S. (2005) · Sadhana · doi:10.1007/bf02706248 · Cited by 60 · see citing works

Learning Factors Transfer Analysis: Using Learning Curve Analysis to Automatically Generate Domain Models

Pavlik, P. I., Cen, H., & Koedinger, K. R. (2009) · Educational Data Mining · Cited by 60 · see citing works

Thread-based analysis of patterns of collaborative interaction in chat

Çakır, M. P., Xhafa, F., Zhou, N., & Stahl, G. (2005) · Cited by 59 · see citing works

Reducing the Knowledge Tracing Space

RITTER, S., Harris, T. K., Nixon, T. M., Dickison, D., Murray, R. C., & Towle, B. (2009) · Educational Data Mining · Cited by 58 · see citing works

Personalized courseware construction based on Web data mining

Tang, C., Lau, R. W. H., Li, Q., Yin, H., Li, T., & Kilis, D. (2002) · International Conference on Web Information Systems Engineering (WISE) · doi:10.1109/wise.2000.882881 · Cited by 58 · see citing works

Effective e‐learning recommendation system based on self‐organizing maps and association mining

Wen‐Shung Tai, D., Wu, H., & Li, P. (2008) · The Electronic Library · doi:10.1108/02640470810879482 · Cited by 56 · see citing works

Learning Content Recommendation Service Based-on Simple Sequencing Specification

Shen, L., & Shen, R. (2004) · Lecture notes in computer science · doi:10.1007/978-3-540-27859-7_47 · Cited by 55 · see citing works

Implement web learning environment based on data mining

Guo, Q., & Zhang, M. (2009) · Knowledge-Based Systems · doi:10.1016/j.knosys.2009.06.001 · Cited by 55 · see citing works

Using neural networks to predict student's performance

Wang, T., & Mitrović, A. (2003) · doi:10.1109/cie.2002.1186127 · Cited by 54 · see citing works

Course planning of extension education to meet market demand by using data mining techniques – an example of Chinkuo technology university in Taiwan

Hsia, T.-C., Shie, A., & Chen, L.-C. (2006) · Expert Systems with Applications · doi:10.1016/j.eswa.2006.09.025 · Cited by 53 · see citing works

Using Web Server Logs in Evaluating Instructional Web Sites

Ingram, A. L. (1999) · Journal of Educational Technology Systems · doi:10.2190/r3ae-ucry-njvr-ly6f · Cited by 53 · see citing works

Developing a Log-based Motivation Measuring Tool

Hershkovitz, A., & Nachmias, R. (2008) · Cited by 53 · see citing works

Analysis of Felder-Silverman Index of Learning Styles by a Data-Driven Statistical Approach

Viola, S. R., Sabine Graf, A., Kinshuk, K., & Leo, T. (2006) · IEEE International Symposium on Multimedia (ISM) · doi:10.1109/ism.2006.30 · Cited by 53 · see citing works

Determining students’ academic failure profile founded on data mining methods

Breşfelean, V. P., Bresfelean, M., Ghişoiu, N., & Comes, C.-A. (2008) · ITI ... · doi:10.1109/iti.2008.4588429 · Cited by 53 · see citing works

A Two-Phase Fuzzy Mining and Learning Algorithm for Adaptive Learning Environment

Tsai, C.-J., Tseng, S. S., & Lin, C. (2001) · Lecture notes in computer science · doi:10.1007/3-540-45718-6_47 · Cited by 51 · see citing works

Learning portfolio analysis and mining in SCORM compliant environment

Wang, W., Weng, J.-F., Su, J., & Tseng, S. (2005) · IEEE Frontiers in Education Conference (FIE) · doi:10.1109/fie.2004.1408490 · Cited by 51 · see citing works

Mining the student assessment data: Lessons drawn from a small scale case study

Pechenizkiy, M., Calders, T., Vasilyeva, E., & Bra, P. M. E. D. (2008) · TU/e Research Portal · Cited by 51 · see citing works

Predicting end-of-year accountability assessment scores from monthly student records in an online tutoring system

Anozie, N. O., & Junker, B. W. (2006) · Cited by 50 · see citing works

Getting to Know Your Student in Distance Learning Contexts

Zinn, C., & Scheuer, O. (2006) · Lecture notes in computer science · doi:10.1007/11876663_34 · Cited by 50 · see citing works

A Comparison of Student Skill Knowledge Estimates

Ayers, E., Nugent, R., & Dean, N. (2009) · ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) · Cited by 49 · see citing works

Using Data Mining for e‑Learning Decision Making

Monk, D. H. (2005) · The Electronic Journal of e-Learning · Cited by 49 · see citing works

A personalized courseware recommendation system based on fuzzy item response theory

Chen, C., Duh, L.-J., & Liu, C. (2004) · doi:10.1109/eee.2004.1287327 · Cited by 48 · see citing works

Enhancing Learning Environments through Solution-Based Knowledge Discovery Tools: Forecasting for Self-perpetuating Systemic Reform

Tsantis, L., & Castellani, J. (2001) · Journal of Special Education Technology · doi:10.1177/016264340101600406 · Cited by 46 · see citing works

Student modeling for a web-based learning environment: a data mining approach

Tang, T. Y., & McCalla, G. (2002) · doi:10.5555/777092.777246 · Cited by 46 · see citing works

Explaining student grades predicted by a neural network

Gedeon, T. D., & Turner, H. (1993) · doi:10.1109/ijcnn.1993.713989 · Cited by 46 · see citing works

A Framework for Using Web Usage Mining to Personalise E-learning

Ba-Omar, H., Petrounias, I., & Anwar, F. (2007) · IEEE International Conference on Advanced Learning Technologies (ICALT) · doi:10.1109/icalt.2007.13 · Cited by 46 · see citing works

A Data Mining Approach to Reveal Representative Collaboration Indicators in Open Collaboration Frameworks

Anaya, A. R., & Boticario, J. G. (2009) · Educational Data Mining · Cited by 45 · see citing works

Data mining for adaptive learning sequence in English language instruction

Wang, Y.-H., Tseng, M., & Liao, H. (2008) · Expert Systems with Applications · doi:10.1016/j.eswa.2008.09.008 · Cited by 45 · see citing works

Opinion Mining in e-Learning System

Song, D., Lin, H., & Yang, Z. (2007) · 2007 IFIP International Conference on Network and Parallel Computing Workshops (NPC 2007) · doi:10.1109/npc.2007.51 · Cited by 45 · see citing works

Mining learning groups' activities in forum-type tools

Reyes, P., & Tchounikine, P. (2005) · doi:10.3115/1149293.1149360 · Cited by 44 · see citing works

Predicting performance from test scores using backpropagation and counterpropagation

Fausett, L. V., & Elwasif, W. R. (2002) · doi:10.1109/icnn.1994.374782 · Cited by 43 · see citing works

Mining from open answers in questionnaire data

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Mining students’ behavior in web-based learning programs

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Using Student and Group Models to Support Teachers in Web-Based Distance Education

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Detecting and Understanding the Impact of Cognitive and Interpersonal Conflict in Computer Supported Collaborative Learning Environments

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A blog article recommendation generating mechanism using an SBACPSO algorithm

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The Effect of Model Granularity on Student Performance Prediction Using Bayesian Networks

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PeRES: A Personalized Recommendation Education System Based on Multi-agents & SCORM

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Automatic Detection of Student Mental Models during Prior Knowledge Activation in MetaTutor.

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Distance education: a Web usage mining case study for the evaluation of learning sites

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Student Academic Performance Monitoring and Evaluation Using Data Mining Techniques

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'First Aid for You': getting to know your learning style using machine learning

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The Composition Effect: Conjuntive or Compensatory? An Analysis of Multi-Skill Math Questions in ITS.

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Determining the Significance of Item Order In Randomized Problem Sets

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From Log Files to Assessment Metrics: Measuring Students' Science Inquiry Skills Using Educational Data Mining

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