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Assessing the validity of a learning analytics expectation instrument: A multinational study
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Self-Efficacy: An Essential Motive to Learn
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nStudy: Tracing and Supporting Self-Regulated Learning in the Internet
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Data-Driven Personalization of Student Learning Support in Higher Education
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Learning dashboards: an overview and future research opportunities
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Give Me a Customizable Dashboard: Personalized Learning Analytics Dashboards in Higher Education
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Let’s not forget: Learning analytics are about learning
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Learning Analytics: at the Nexus of Big Data, Digital Innovation, and Social Justice in Education
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Features students really expect from learning analytics
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A qualitative evaluation of evolution of a learning analytics tool
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Model modifications in covariance structure analysis: The problem of capitalization on chance.
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Power analysis and determination of sample size for covariance structure modeling.
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Motivation and Self-Regulated Learning: Theory, Research, and Applications
inferredcites →https://doi.org/10.1080/00223891.2017.1281286openalex-snapshot
The Thorny Relation Between Measurement Quality and Fit Index Cutoffs in Latent Variable Models
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Student perceptions of support services and the influence of targeted interventions on retention in distance education
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Formative assessment and self‐regulated learning: a model and seven principles of good feedback practice
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Exploratory Structural Equation Modeling
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Testing Structural Equation Models or Detection of Misspecifications?
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Factor Analysis with Ordinal Indicators: A Monte Carlo Study Comparing DWLS and ULS Estimation
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Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives
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Measurement Theory and Applications for the Social Sciences
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Expectations as Determinants of Patient Satisfaction: Concepts, Theory and Evidence
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Using learning analytics to scale the provision of personalised feedback
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The Student Expectations of Learning Analytics Questionnaire
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Overcoming Isolation in Distance Learning: Building a Learning Community through Time and Space
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Towards visual analytics for teachers' dynamic diagnostic pedagogical decision-making
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Privacy and Analytics – it’s a DELICATE issue. A Checklist to establish trusted Learning Analytics
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Student perceptions of their privacy in leaning analytics applications
inferredcites →https://doi.org/10.1145/3027385.3027400openalex-snapshot
Learning analytics in higher education --- challenges and policies
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Trends and issues in student-facing learning analytics reporting systems research
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An elephant in the learning analytics room
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The influence of data protection and privacy frameworks on the design of learning analytics systems
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The privacy paradox and its implications for learning analytics
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Exploratory Structural Equation Modeling: An Integration of the Best Features of Exploratory and Confirmatory Factor Analysis
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The Reliability Paradox in Assessing Structural Relations Within Covariance Structure Models
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Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
inferredcites →https://doi.org/10.1504/ijtel.2012.051816openalex-snapshot
Learning analytics: drivers, developments and challenges
inferredcites →https://doi.org/10.15353/cgjsc-rcessc.v1i1.25openalex-snapshot
Principles and Practice of Structural Equation Modeling
inferredcites →https://doi.org/10.18608/jla.2016.31.3openalex-snapshot
Developing a Code of Practice for Learning Analytics
inferredcites →https://doi.org/10.2139/ssrn.3681718openalex-snapshot
Expectation Confirmation in Information Systems Research: A Test of Six Competing Models
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Developing Learning Analytics Design Knowledge in the “Middle Space”: The Student Tuning Model and Align Design Framework for Learning Analytics Use
inferredcites →https://doi.org/10.3389/fpsyg.2015.01715openalex-snapshot
A cautionary note on testing latent variable models
inferredcites →https://doi.org/10.3389/fpsyg.2016.01959openalex-snapshot
Student Attitudes toward Learning Analytics in Higher Education: “The Fitbit Version of the Learning World”
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Confirmatory factor analysis for applied research
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Student Awareness and Privacy Perception of Learning Analytics in Higher Education
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Learning Analytics and Privacy—Respecting Privacy in Digital Learning Scenarios
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Learning Analytics-Policys im Hochschulkontext
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Exploring students’ expectations of learning analytics: A person-centered approach
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Untangling connections between challenges in the adoption of learning analytics in higher education
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Datafication and algorithmization of education: How do parents and students evaluate the appropriateness of learning analytics?
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One size doesn’t fit all: exploring functional expectations and learner typologies for learning analytics in self-regulated learning
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Algorithmic Decision-Making and Education: The Acceptance of Learning Analytics by Secondary School Students and Parents
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Multi Objective Evaluation Between Learning Behavior and Learning Achievement
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Students’ Perceptions: Exploring the Interplay of Ethical and Pedagogical Impacts for Adopting AI in Higher Education
inferred← citeshttps://doi.org/10.1016/j.chbr.2024.100416openalex-snapshot
Cultural differences in students’ privacy concerns in learning analytics across Germany, South Korea, Spain, Sweden, and the United States
inferred← citeshttps://doi.org/10.1016/j.compedu.2022.104550openalex-snapshot
Stakeholders’ insights on learning analytics: Perspectives of students and staff
inferred← citeshttps://doi.org/10.1016/j.dib.2026.112474openalex-snapshot
Survey data on students’ perceptions, knowledge, and use of learning analytics (LA) and generative artificial intelligence (GenAI) for the personalization of learning
inferred← citeshttps://doi.org/10.1016/j.iheduc.2021.100818openalex-snapshot
An exploratory latent class analysis of student expectations towards learning analytics services
inferred← citeshttps://doi.org/10.1016/j.ijhcs.2026.103810openalex-snapshot
Ethical gaps and power dynamics in decision-making about AI adoption: The case of AI for monitoring student learning in education
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Evolution, topics and relevant research methodologies in business intelligence and data analysis in the academic management of higher education institutions. A literature review
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Socioeconomic and academic correlates of dropout intention in higher education: Cross-sectional evidence from a colombian public university
inferred← citeshttps://doi.org/10.1086/718605openalex-snapshot
Questions of Trust: A Survey of Student Expectations and Perspectives on Library Learning Analytics
inferred← citeshttps://doi.org/10.1108/pmm-04-2023-0009openalex-snapshot
Valid questions: the development and evaluation of a new library learning analytics survey
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Students’ Expectations of Learning Analytics in a Swedish Higher Education Institution
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Students' privacy concerns in learning analytics: Model development
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The role of indoor positioning analytics in assessment of simulation‐based learning
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Curriculum analytics adoption in higher education: A multiple case study engaging stakeholders in different phases of design
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Understanding privacy and data protection issues in learning analytics using a systematic review
inferred← citeshttps://doi.org/10.1111/bjet.13435openalex-snapshot
A shared lens around sensemaking in learning analytics: What activity theory, definition of a situation and affordances can offer
inferred← citeshttps://doi.org/10.1111/jcal.12802openalex-snapshot
Students' expectations of Learning Analytics across Europe
inferred← citeshttps://doi.org/10.1145/3375462.3375536openalex-snapshot
The privacy paradox and its implications for learning analytics
inferred← citeshttps://doi.org/10.1145/3506860.3506886openalex-snapshot
A Penny for your Thoughts: Students and Instructors’ Expectations about Learning Analytics in Brazil
inferred← citeshttps://doi.org/10.1145/3576050.3576060openalex-snapshot
Embracing Trustworthiness and Authenticity in the Validation of Learning Analytics Systems
inferred← citeshttps://doi.org/10.1145/3576050.3576142openalex-snapshot
The Role of Gender in Students’ Privacy Concerns about Learning Analytics
inferred← citeshttps://doi.org/10.1145/3636555.3636923openalex-snapshot
Exploring Student Expectations and Confidence in Learning Analytics
inferred← citeshttps://doi.org/10.1145/3785022.3785102openalex-snapshot
What Shapes Learner Perceptions of LA Technologies? Demographics, Privacy Dispositions and Contexts
inferred← citeshttps://doi.org/10.1186/s12909-020-02196-0openalex-snapshot
Benefits of combined quantitative and qualitative evaluation of learning experience in a gerodontology course for dental students
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Inovasi Instrumen Interaktif Berbasis Googleform Untuk Meningkatkan Efektivitas Proses Akreditasi di Universitas Negeri Malang
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On the Ethical Issues Posed by the Exploitation of Users’ Data in MOOC Platforms: Capturing Learners’ Perspectives
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أبعاد استخدام تقنيات التعلم الذكية وفق بنية الكتاب الذكي Smart Book في برامج إعداد المعلم لما بعد تداعيات جائحة وباء Covid-19
inferred← citeshttps://doi.org/10.23919/mipro55190.2022.9803750openalex-snapshot
Towards LA Adoption Maturity Framework
inferred← citeshttps://doi.org/10.4018/978-1-7998-7103-3.ch004openalex-snapshot
Ethics in Predictive Learning Analytics
inferred← citeshttps://doi.org/10.48550/arxiv.2109.00068openalex-snapshot
Students' Information Privacy Concerns in Learning Analytics: Towards a Model Development
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A Modification of UTAUT2 Model Applied to the Field of Chinese University EFL Students’ Adoption of Mobile Technology-integrated Vocabulary Learning
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Additional file 1 of Benefits of combined quantitative and qualitative evaluation of learning experience in a gerodontology course for dental students
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