In search for the most informative data for feedback generation: Learning analytics in a data-rich context

Visible learning: a synthesis of over 800 meta‐analyses relating to achievement

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Aligning assessment with long‐term learning

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Learning Analytics: The Emergence of a Discipline

Siemens, G. (2013) · American Behavioral Scientist · doi:10.1177/0002764213498851 · Cited by 1,284

Mining LMS data to develop an “early warning system” for educators: A proof of concept

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Micheletta, S. (2013) · Form re - Open Journal per la formazione in rete · doi:10.13128/formare-13251 · Cited by 1,016

Reviewing Mixed Methods Approaches Using Social Network Analysis for Learning and Education

Froehlich, D., Rehm, M., & Rienties, B. (2019) · Lecture Notes in Social Networks · doi:10.1007/978-3-030-29973-6_2 · Cited by 2

A First Step Towards Learning Analytics: Implementing an Experimental Learning Analytics Tool

Knobbout, J., & van der Stappen, E. (2017) · doi:10.18690/978-961-286-043-1.23 · Cited by 3

Diseño de un estudio exploratorio para la aplicación de técnicas de analíticas de aprendizaje en la enseñanza de las fracciones en 5º curso de Educación Primaria/ Design of an exploratory study for the application of learning analytical techniques in the teaching of fractions in the 5th year of Primary Education

Rodríguez, J. A. L., González‐Calero, J. A., & Gutiérrez, R. C. (2018) · Magister · doi:10.17811/msg.30.1.2018.29-42 · Cited by 3

MWDEX

Acquila-Natale, E., Iglesías-Pradas, S., Hernández-García, Á., Chaparro-Peláez, J., & Isabel, R.-R. (2019) · Ninth International Conference on Technological Ecosystems for Enhancing Multiculturality (TEEM'21) · doi:10.1145/3362789.3362899 · Cited by 3

Student-centric Model of Login Patterns: A Case Study with Learning Management Systems

Mandalapu, V., Chen, L., Chen, Z., & Gong, J. (2021) · Maryland Shared Open Access Repository (USMAI Consortium) · doi:10.13016/m26b3n-vrly · Cited by 3

Buying time

Chen, G., Davis, D., Krause, M., Hauff, C., & Houben, G. (2017) · International Conference on Learning Analytics and Knowledge (LAK) · doi:10.1145/3027385.3029469 · Cited by 3

Making sense of learning data at scale

Rienties, B., & Herodotou, C. (2022) · Edward Elgar Publishing eBooks · doi:10.4337/9781800888494.00032 · Cited by 2

Research on Learning Early Warning and Intervention for English Major Undergraduates Based on Moodle Learning Management System (LMS)

Min, M., Cheng, J., & Zhang, Y. (2024) · International Conference on Educational Digitalization and Computer Science in the Guangdong-Hong Kong-Macao Greater Bay Area · doi:10.1145/3686424.3686440 · Cited by 2

Understanding online self-regulation: A data-driven approach to LMS interaction indicators

Atabay, M., & Çakıroğlu, Ü. (2024) · Education and Information Technologies · doi:10.1007/s10639-024-13136-6 · Cited by 2

Combining dispositional and behavioural facets of SRL, and the role of students’ growth orientation

Tempelaar, D. T., Giesbers, B., Rienties, B., Bátori, A., & Mihai, A. (2025) · Educational Psychology · doi:10.1080/01443410.2025.2592750 · Cited by 3

Visualization analysis of learning analytics research based on CiteSpace

Yuan, L., Razak, R. A., Kamsin, A., Abdul-Rahman, S.-S., Feng, D., & Chen, L. (2026) · Journal of Applied Research in Higher Education · doi:10.1108/jarhe-08-2025-0697 · Cited by 2

Performance Indicators for Online Secondary Education: A Case Study

van Diepen, P., & Bert Bredeweg, A. (2017) · Communications in computer and information science · doi:10.1007/978-3-319-67468-1_12 · Cited by 2

Governing a Responsible Platform Society

van, J. (2018) · Oxford University Press eBooks · doi:10.1093/oso/9780190889760.003.0008 · Cited by 2

LEARNING ENGAGEMENT, LEARNING OUTCOMES AND LEARNING GAINS: LESSONS FROM LA

Tempelaar, D. T., Rienties, B., & Nguyen, Q. (2019) · Cognition and Exploratory Learning in Digital Age · doi:10.33965/celda2019_201911l032 · Cited by 3

Evaluating LA Dashboard in Secondary School and Higher Education: Fostering Goal Setting and Students’ Self-Regulation

Vigentini, L., Swibel, B., & Hasler, G. (2021) · Advances in analytics for learning and teaching · doi:10.1007/978-3-030-81222-5_14 · Cited by 2

A review of tertiary formative assessment using digital technology in the past decade: what has been facilitated?

Liang, L., Tognolini, J., Hendry, G. D., & Mantai, L. (2022) · International Conference on Higher Education Advances (HEAd) · doi:10.4995/head22.2022.14371 · Cited by 2

Personalization vs. Standardization: Digitalizing Feedback on Written Assignments in Freshman English Courses in Hong Kong

Wang, S. H., & Li, C. (2022) · English language education · doi:10.1007/978-3-030-99622-2_6 · Cited by 2

Teaching strategies of distance teaching applied in design discipline

Wang, C., & Lin, C. P. (2023) · Interactive Learning Environments · doi:10.1080/10494820.2023.2223235 · Cited by 2

Framework for Personalised Online Education based on Learning Analytics through the use of Domain-Specific Modelling and Data Analytics

Meacham, S., Nauck, D. D., & Zhao, H. (2019) · International Conference on Next Generation Computing Applications (NextComp) · doi:10.1109/nextcomp.2019.8883640 · Cited by 2

Here Be Dragons

Prinsloo, P., & Slade, S. (2016) · IGI Global eBooks · doi:10.4018/978-1-4666-9840-6.ch079 · Cited by 2

Unravelling the dynamics of learning design within and between disciplines in higher education using learning analytics

Nguyen, Q. (2017) · Open Research Online - ORO (The Open University) · Cited by 2

Monitoring the Use of Learning Strategies in a Web-Based Pre-course in Mathematics

Derr, K., Hübl, R., & Ahmed, M. Z. (2019) · Springer eBooks · doi:10.1007/978-3-319-64792-0_8 · Cited by 2

Tecnologías emergentes al servicio de la evaluación en la enseñanza de la Historia Moderna

Gutiérrez, R. C., & Ruipérez, F. D. B. C. (2020) · Ediciones de la Universidad de Castilla-La Mancha eBooks · doi:10.18239/jornadas_2020.27.21 · Cited by 2

Early Detecting the At-risk Students in Online Courses Based on Their Behavior Sequences

Yuan, S., Huang, H. P., He, T., & Hou, R. C. (2021) · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-030-72802-1_2 · Cited by 2

Multiple linear regression of Asia Pacific University Malaysia students’ performance in statistics and mathematics course using R software

Adnan, N. I. M., Mohamed, A. S. T., Azami, M. F. A. M., & Razali, F. A. (2021) · AIP conference proceedings · doi:10.1063/5.0053195 · Cited by 2

Decrypting Log Data

Klose, M., Steger, D., Fick, J., & Artelt, C. (2022) · Zeitschrift für Psychologie · doi:10.1027/2151-2604/a000484 · Cited by 2

Misserfolge beim digitalen Lernen verhindern: „Predictive learning analytics“ am Beispiel einer Web-App für Grammatik und Rechtschreibung

Maier, U., & Klotz, C. (2022) · Zeitschrift für Bildungsforschung · doi:10.1007/s35834-022-00369-z · Cited by 2

Grit and Academic Burnout among Accountancy Students in Pakistan: Mediating Role of Academic Resilience

Khan, A., Mehmood, H., & Huda, S. (2023) · Journal of Professional & Applied Psychology · doi:10.52053/jpap.v4i2.158 · Cited by 8

Review of Literature on Attrition

Kember, D. R., & Fan, S. (2023) · Springer eBooks · doi:10.1007/978-981-99-0898-1_9 · Cited by 3

RETHINKING FEEDBACK IN A CONNECTED AGE

Lopes, A. P., Babo, L., Azevedo, J., & Torres, C. (2018) · INTED proceedings · doi:10.21125/inted.2018.1245 · Cited by 2

Healthcare and Health Research

van, J. (2018) · Oxford University Press eBooks · doi:10.1093/oso/9780190889760.003.0006 · Cited by 2

Análisis del aprendizaje a través de la huella en Moodle: aplicación en la asignatura de Termodinámica Técnica

Peña, B. (2019) · Congreso de Innovación Educativa y Docencia en Red (IN-RED) · doi:10.4995/inred2019.2019.10415 · Cited by 2

‹Da habe ich es dann einfach ausgeschaltet›

Viertel, M., Krieter, P., & Breiter, A. (2021) · MedienPädagogik Zeitschrift für Theorie und Praxis der Medienbildung · doi:10.21240/mpaed/44/2021.10.26.x · Cited by 2

Analyzing Learner and Instructor Interactions within Learning Management Systems: Approaches and Examples

Recker, M. M., & Lee, J. (2023) · Springer eBooks · doi:10.1007/978-3-319-17461-7_7 · Cited by 2

What a feeling! A multistage, multimethod Investigation of emotions and their antecedents in an Irish language MOOC

Beirne, E. (2020) · Arrow@dit (Dublin Institute of Technology) · Cited by 2

Quo vadis personalized learning? Aligning technological innovation with evidence-based research on learning and instructionPreprint

Nörenberg, L., Lazarides, R., Dietrich, J., & Moeller, J. (2022) · OSF Preprints (OSF Preprints) · doi:10.31219/osf.io/87hfz · Cited by 3

Feedback Preferences of Students Learning in a Blended Environment: Worked Examples, Tutored and Untutored Problem-Solving

Tempelaar, D. T., Rienties, B., & Nguyen, Q. (2020) · Communications in computer and information science · doi:10.1007/978-3-030-58459-7_3 · Cited by 1

Performance of Post Graduate Students Using Multiple Regression Analysis (Case Study)

Shaikh, F., Solangi, M. A., & Abro, S. (2020) · Mathematical theory and modeling · doi:10.7176/mtm/10-8-01 · Cited by 1

Explore the Prediction of Formative Assessment to Academic Success in Blended Learning: A Case Study

Yang, Q., Liu, J., Zheng, J., & Su, L. (2024) · International Conference on Artificial Intelligence and Future Education (AIFE) · doi:10.1145/3708394.3708427 · Cited by 1

How Much is Enough? Formative Assessment Dynamics

Parker, M. J., Bunch, M., & Pike, A. (2025) · Journal of Learning Analytics · doi:10.18608/jla.2025.8753 · Cited by 1

Predicting students engagement in asynchronous online learning: a mixed-method approach

Kapuza, A., Getman, A., Kotlikova, A., Gerasimova, I., Уртенова, М. А., & Kharakhordina, M. (2025) · Educational Technology Research and Development · doi:10.1007/s11423-025-10558-y · Cited by 1

Clustering Students Based on Learning Styles: A Machine Learning Approach for Personalized Education

Jaiswal, S., Darvai, J., Sahu, L., & Gupta, N. (2025) · World Skills Conference on Universal Data Analytics and Sciences (WorldSUAS) · doi:10.1109/worldsuas66815.2025.11198965 · Cited by 1

The Role of Achievement & Epistemic Emotions in E-Tutorial Engagement and Student Performance

Tempelaar, D. T., & Niculescu, A. (2025) · Cognition and exploratory learning in the digital age · doi:10.1007/978-3-032-05817-1_11 · Cited by 1

A path model to infer K-8 students computer programming performance: the relation between classroom goal structure, self-efficacy, and classroom engagement

YILMAZ, N., & Birişçi, S. (2026) · Education and Information Technologies · doi:10.1007/s10639-025-13825-w · Cited by 1

How Late is Too Late? Clustering Student Timing Behaviors to Predict Academic Success

Dibek, M. İ., & Yildirim‐Erbasli, S. N. (2026) · Measurement Interdisciplinary Research and Perspectives · doi:10.1080/15366367.2026.2654037 · Cited by 1

A Multi-level Longitudinal Analysis of 80,000 Online Learners: Affective-Behaviour-Cognition Models of Learning Gains

Rogaten, J., Rienties, B., Whitelock, D. M., Cross, S. S., & Littlejohn, A. H. (2016) · Open Research Online (The Open University) · Cited by 1

Analysing the Use of Worked Examples and Tutored and Untutored Problem-Solving in a Dispositional Learning Analytics Context

Tempelaar, D. T., Rienties, B., & Nguyen, Q. (2018) · International Conference on Computer Supported Education · doi:10.5220/0006760202940301 · Cited by 1

Virtual Social Learning Environments – a Cybernetic System? Towards a Decision Support System

Lenk, F. (2018) · International Conference on Information Technology Based Higher Education and Training (ITHET) · doi:10.1109/ithet.2018.8424763 · Cited by 1

What Does Data Analytics Offer for Extracting Knowledge from Middle-of-Life Product Data?

Eddahab-Burke, F.-Z. A., & Horváth, I. (2018) · Advances in transdisciplinary engineering · doi:10.3233/978-1-61499-898-3-1102 · Cited by 1

Best Practices in Dropout Prediction

Alcolea, J. J., Ortigosa, Á., Carro, R. M., & Blanco, O. J. (2020) · Advances in educational technologies and instructional design book series · doi:10.4018/978-1-7998-5074-8.ch015 · Cited by 2

Eğitimde Kullanılan Erken Uyarı Sistemleri Konusunda Yapılmış Çalışmaların İncelenmesi

Kaban, A., & Bilen, Ö. (2021) · MANAS Sosyal Araştırmalar Dergisi · doi:10.33206/mjss.816902 · Cited by 1

Platform Mechanisms

van, J. (2018) · Oxford University Press eBooks · doi:10.1093/oso/9780190889760.003.0003 · Cited by 4

News

van, J. (2018) · Oxford University Press eBooks · doi:10.1093/oso/9780190889760.003.0004 · Cited by 1

Using Big Data in Education: Curriculum Review with Educational Data Mining

Olpak, Y. Z., & Yağcı, M. (2022) · Journal of Teacher Education and Lifelong Learning · doi:10.51535/tell.1192930 · Cited by 1

Incorporating Time in Dispositional Learning Analytics Models

Tempelaar, D. T. (2022) · Cognition and exploratory learning in the digital age · doi:10.1007/978-3-031-18512-0_3 · Cited by 1

STUDENTS USE OF LEARNING AIDS: LESSONS FROM LEARNING ANALYTICS

Tempelaar, D. T. (2022) · Cognition and Exploratory Learning in Digital Age · doi:10.33965/celda2022_202207l017 · Cited by 1

Data-based decision making in einer digitalen Welt: Data Literacy von Lehrpersonen als notwendige Voraussetzung

Bez, S., Tomasik, M. J., & Merk, S. (2023) · Edition ZfE · doi:10.1007/978-3-658-37895-0_14 · Cited by 1

Revolutionizing Education Through Personalized Pedagogy and Machine Learning Algorithms

Waladi, C., Khaldi, M., & Sefian, M. L. (2024) · Advances in educational technologies and instructional design book series · doi:10.4018/979-8-3693-1206-3.ch016 · Cited by 1

Microlearning Strategy of GLOBIS Corporation in the Competitive Business Education Technology Landscape

Calvo, J. (2024) · doi:10.61440/jbes.2024.v1.06 · Cited by 1

Dispositional Learning Analytics to Comprehend Blended Learning

Tempelaar, D. T. (2024) · Cognition and exploratory learning in the digital age · doi:10.1007/978-3-031-54207-7_12 · Cited by 1

Investigating the Potential and Challenges of Learning Analytics Tools in Brazilian Education Through Developer Insights

de Menezes, J. B. F., Queiroga, E. M., Muñoz, R., Rodés, V., Ramos, V. F. C., de Carvalho, L. M., de Souza, A. D. C. F., & Cechinel, C. (2024) · IEEE Access · doi:10.1109/access.2024.3386175 · Cited by 1

Using Prompts to Encourage Quiz Engagement: The Relationship Between Engagement Profiles and Course Success

Williamson, M. J., & Duryea, P. R. (2024) · Teaching of Psychology · doi:10.1177/00986283241300257 · Cited by 1

The unrecognized potential of potential‐based achievement goals

Tempelaar, D. T. (2024) · British Journal of Educational Psychology · doi:10.1111/bjep.12728 · Cited by 1

BIG-AFF

Boticario, J. G., Santos, O. C., Cabestrero, R., Quirós, P., Salmerón-Majadas, S., Uria-Rivas, R., Saneiro, M., Arevalillo‐Herráez, M., & Ferri, F. J. (2017) · ACM Conference on User Modeling, Adaptation and Personalization (UMAP) · doi:10.1145/3099023.3099084 · Cited by 1

A Framework for Computerized Progress Feedback in Tertiary Education

der Merwe, A. V., du Toit, T., & Kruger, H. (2020) · Journal of Computer Science · doi:10.3844/jcssp.2020.391.401 · Cited by 1

Research on the Characteristic Model of Learners in Modern Distance Music Classroom Based on Big Data

Wang, Y., & Liu, L. (2022) · Scientific Programming · doi:10.1155/2022/4684461 · Cited by 1

The Effectiveness of “Mandarinstories” Mobile LMS in Supporting Online-Merge-Offline (OMO) Learning

Jureynolds, J., Lohansen, & Lohannes (2023) · International Conference on Business and Industrial Research (ICBIR) · doi:10.1109/icbir57571.2023.10147500 · Cited by 1

What Do Studies of Learning Analytics Reveal About Learning and Instruction? A Systematic Literature Review

Lee, J., & Recker, M. M. (2023) · Springer eBooks · doi:10.1007/978-3-319-17461-7_116 · Cited by 1

Desafios e oportunidades do design no contexto dos grandes dados: o caso da learning analytics

Pinheiro, I. R., Merino, E. A. D., & Gómez, L. S. R. (2015) · Design e Tecnologia · doi:10.23972/det2015iss09pp50-58

Academic Performance in Blended-Learning and Face-to-Face

Alducin-Ochoa, J. M., & Vázquez-Martínez, A. I. (2016)

EXCTRA - EXploiting the Click-TRAil: Assessing the benefits of Learning Analytics

Conijn, R., Snijders, C. C. P., Matzat, U., Kleingeld, A., & Bijvank, W. N. (2016) · Data Archiving and Networked Services (DANS)

Web-Based Programming Grading Assistant: An Investigation of the Role of Students Reviewing Behavior

Huang, P.-K. (2017)

Framing Learning Analytics and Educational Data Mining for Teaching: Critical Inferencing, Domain Knowledge, and Pedagogy

McGrath, O. G. (2018) · Lecture notes in educational technology · doi:10.1007/978-981-13-0650-1_2

Learning Analytics in the Perspective of Enhancing Students' Performance

Malik, N. (2018) · Advances in educational technologies and instructional design book series · doi:10.4018/978-1-5225-5369-4.ch009

Nudging by Predicting: A Case Study

Heller, N., & Bry, F. (2019) · International Conference on Computer Supported Education · doi:10.5220/0007680102360243

Exploring Differences of Online Meaningful Posts and Instructor Interactions Between High-Score and Low-Score Students

Niu, B., Wu, F., & Liu, J. (2019) · International Conference of Educational Innovation through Technology (EITT) · doi:10.1109/eitt.2019.00011

Dashboard for the E-Assessment and E-Feedback System for Aerospace Engineering Examination Preparation in Singapore

Fang, L., & M., Z. A. K. (2020) · Advances in educational technologies and instructional design book series · doi:10.4018/978-1-7998-5074-8.ch004

Blended Learning als Spielfeld für Learning Analytics und Educational Data Mining

Persike, M. (2020) · Synapsen im digitalen Informations- und Kommunikationsnetzwerk · doi:10.1007/978-3-658-22109-6_12

Current State of Learning Analytics

Sun, W., Niels Pinkwart, C., & Li, T. (2021) · Advances in educational technologies and instructional design book series · doi:10.4018/978-1-7998-7103-3.ch001

Vexique: Vocabulary enhancement software for French immersion students

Woloshen, S. (2021) · Summit (Simon Fraser University)

A Learning Analytics Case Study: Relation of Students Learning Approach to Online Learning Environment Behaviours

Doğan, G., Alkan, S., Bayazıt, A., & Demirci, G. M. (2021) · Advances in intelligent systems and computing · doi:10.1007/978-3-030-74728-2_13

Participation in Asynchronous Online Forums for Prediction of Learning Performance

Sousa‐Vieira, M. E., Ferreira‐Pires, O., López-Ardao, J. C., & Fernández‐Veiga, M. (2021) · Communications in computer and information science · doi:10.1007/978-3-030-86439-2_6

Self-Reported Perceptions of Online Learning and Observed Online Learning Behaviors: To What Extent Are They Consistent?

Han, F. (2021) · The Open/Technology in Education Society and Scholarship Association Conference · doi:10.18357/otessac.2021.1.1.48

Here Be Dragons

Prinsloo, P., & Slade, S. (2016) · Advances in educational marketing, administration, and leadership book series · doi:10.4018/978-1-4666-9983-0.ch007

Scalable Personalization for Student Success

Wagner, T., & Diederich, M. (2022) · Advances in educational technologies and instructional design book series · doi:10.4018/978-1-7998-9644-9.ch005

The Ethics of Machine-Based Learning

Willis, J. E., & Strunk, V. A. (2020) · IGI Global eBooks · doi:10.4018/978-1-7998-3022-1.ch008

USING LMS DATA TO UNDERSTAND HOW STUDENTS USE COURSE TOOLS

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Highlights From Extracted Eras of a Live LMS Instance

(2018) · Advances in educational technologies and instructional design book series · doi:10.4018/978-1-5225-7528-3.ch013

Design of virtual experiment environments

Verstege, S. (2021) · doi:10.18174/547094

Urban Transport

van, J. (2018) · Oxford University Press eBooks · doi:10.1093/oso/9780190889760.003.0005

Epilogue

van, J. (2018) · Oxford University Press eBooks · doi:10.1093/oso/9780190889760.003.0009

Preservice Teachers' Preferred Definitions of Intelligence, and Related Demographics (Age, Gender, Educational Level, Academic Domains and educational Psychology Enrollment), as Predictors of their Implicit Beliefs of Intelligence

Bacchiocchi, M. (2020) · Digital Commons - Andrews University (Andrews University) · doi:10.32597/dissertations/1730

Education

van, J. (2018) · Oxford University Press eBooks · doi:10.1093/oso/9780190889760.003.0007 · Cited by 1

Introduction

van, J. (2018) · Oxford University Press eBooks · doi:10.1093/oso/9780190889760.003.0001 · Cited by 1

The Intertemporal Impact of Self-Regulation: Analyzing Timing Profiles

Tempelaar, D. T. (2019) · American Educational Research Association Annual Meeting (AERA) · doi:10.3102/1437872

Timing of Engagement, Disengagement, and Retention in a Distance Learning Setting

Nguyen, Q. C. (2019) · American Educational Research Association Annual Meeting (AERA) · doi:10.3102/1445230

The Role of Online Formative Assessment in Higher Education: Effectiveness and Student Satisfaction

Farrell, W., & Pattermann, J. (2022) · Forschung und Praxis an der FHWien der WKW · doi:10.1007/978-3-658-36861-6_11

Impact of Motivation and Strategy Use on Performance in a Blended Learning Course

Esnaashari, S., Gardner, L., Arthanari, T., Rehm, M., & Filippova, O. (2022) · Journal of Higher Education Theory and Practice · doi:10.33423/jhetp.v22i9.5378

برنامج مقترح قائم على أدوات التمثيل الجغرافي باستخدام تحليلات التعلم في بيئة ذكية لتنمية مهارات انتاج الرسوم البيانية والخرائط الجغرافية التفاعلية وعوامل القدرة المكانية لدى الطالب المعلم

حسن, ح. ع. ا. ع. (2023) · مجلة دراسات في المناهج وطرق التدريس · doi:10.21608/mjat.2023.299221

Pengaruh desain pembelajaran, kualitas dosen, interaksi dengan dosen, dan harapan terhadap kinerja akademik dengan dimediasi kepuasan pembelajaran pada mahasiswa

Inayah, N. I., Sabandi, M., & Octoria, D. (2023) · Jurnal Pendidikan Ekonomi (JUPE) · doi:10.26740/jupe.v11n3.p343-354 · Cited by 5

Stability and Sensitivity of Learning Analytics based Prediction Models

Tempelaar, D. T., Rienties, B., & Giesbers, B. (2015) · International Conference on Computer Supported Education · doi:10.5220/0005497001560166 · Cited by 14

Computer Assisted, Formative Assessment and Dispositional Learning Analytics in Learning Mathematics and Statistics

Tempelaar, D. T., Rienties, B., & Giesbers, B. (2014) · Communications in computer and information science · doi:10.1007/978-3-319-08657-6_7 · Cited by 16

Dispositional Learning Analytics for Supporting Individualized Learning Feedback

Tempelaar, D. T., Rienties, B., & Nguyen, Q. (2021) · Frontiers in Education · doi:10.3389/feduc.2021.703773 · Cited by 23

Learning Feedback Based on Dispositional Learning Analytics

Tempelaar, D. T., Nguyen, Q., & Rienties, B. (2019) · Intelligent systems reference library · doi:10.1007/978-3-030-13743-4_5 · Cited by 7

Formative assessment and learning analytics

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