On the public citation graph

Big Data Research on Personalized Learning in Computer Education: A Thematic Evolution Analysis

0 signed · 40 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.

Claim with ORCID

Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/cae.22637openalex-snapshot

Comparing the use of block‐based and robot programming in introductory programming education: Effects on perceptions of programming self‐efficacy

inferredcites →https://doi.org/10.1002/widm.1355openalex-snapshot

Educational data mining and learning analytics: An updated survey

inferredcites →https://doi.org/10.1007/s10639-021-10750-6openalex-snapshot

The effect of different usage of the educational programming language in programming education on the programming anxiety and achievement

inferredcites →https://doi.org/10.1007/s10758-020-09460-8openalex-snapshot

Student Opinions About Personalized Recommendation and Feedback Based on Learning Analytics

inferredcites →https://doi.org/10.1016/j.chb.2018.05.004openalex-snapshot

Linking learning behavior analytics and learning science concepts: Designing a learning analytics dashboard for feedback to support learning regulation

inferredcites →https://doi.org/10.1016/j.chb.2019.106185openalex-snapshot

Computational thinking education: Issues and challenges

inferredcites →https://doi.org/10.1016/j.compedu.2019.103698openalex-snapshot

Collaboration and fuzzy-modeled personalization for mobile game-based learning in higher education

inferredcites →https://doi.org/10.1016/j.edurev.2024.100616openalex-snapshot

AI-driven learning analytics applications and tools in computer-supported collaborative learning: A systematic review

inferredcites →https://doi.org/10.1016/j.eswa.2013.08.042openalex-snapshot

Educational data mining: A survey and a data mining-based analysis of recent works

inferredcites →https://doi.org/10.1038/s41598-025-12353-4openalex-snapshot

Machine learning-based academic performance prediction with explainability for enhanced decision-making in educational institutions

inferredcites →https://doi.org/10.1080/10494820.2019.1636086openalex-snapshot

Predicting students’ academic performance by using educational big data and learning analytics: evaluation of classification methods and learning logs

inferredcites →https://doi.org/10.1080/17439884.2020.1686017openalex-snapshot

Deep learning goes to school: toward a relational understanding of AI in education

inferredcites →https://doi.org/10.1109/access.2017.2654247openalex-snapshot

A Systematic Review on Educational Data Mining

inferredcites →https://doi.org/10.1109/access.2020.2977679openalex-snapshot

Design and Evaluation of a Deep Learning Recommendation Based Augmented Reality System for Teaching Programming and Computational Thinking

inferredcites →https://doi.org/10.1109/access.2020.2988510openalex-snapshot

Artificial Intelligence in Education: A Review

inferredcites →https://doi.org/10.1109/access.2020.2994561openalex-snapshot

Big Educational Data & Analytics: Survey, Architecture and Challenges

inferredcites →https://doi.org/10.1109/access.2022.3157288openalex-snapshot

Educational Data Mining to Support Programming Learning Using Problem-Solving Data

inferredcites →https://doi.org/10.1109/access.2023.3317694openalex-snapshot

Development of Automatic Source Code Evaluation Tests Using Grey-Box Methods: A Programming Education Case Study

inferredcites →https://doi.org/10.1109/laclo50806.2020.9381166openalex-snapshot

Prediction analysis of student dropout in a Computer Science course using Educational Data Mining

inferredcites →https://doi.org/10.1109/msp.2021.3055032openalex-snapshot

Personalized Education in the Artificial Intelligence Era: What to Expect Next

inferredcites →https://doi.org/10.1109/tcss.2020.2965198openalex-snapshot

A Personalized Learning System for Parallel Intelligent Education

inferredcites →https://doi.org/10.1109/tlt.2022.3216276openalex-snapshot

Educational Process Mining for Discovering Students' Problem-Solving Ability in Computer Programming Education

inferredcites →https://doi.org/10.1145/3372782.3406264openalex-snapshot

Adaptive Immediate Feedback Can Improve Novice Programming Engagement and Intention to Persist in Computer Science

inferredcites →https://doi.org/10.1145/3501709.3544280openalex-snapshot

Generating Diverse Code Explanations using the GPT-3 Large Language Model

inferredcites →https://doi.org/10.1145/3545945.3569823openalex-snapshot

Conversing with Copilot: Exploring Prompt Engineering for Solving CS1 Problems Using Natural Language

inferredcites →https://doi.org/10.1145/3624720openalex-snapshot

Computing Education in the Era of Generative AI

inferredcites →https://doi.org/10.1155/2024/4067721openalex-snapshot

Student Performance Prediction Using Machine Learning Algorithms

inferredcites →https://doi.org/10.1177/02704676231224705openalex-snapshot

Potential Risks of Artificial Intelligence Integration into School Education: A Systematic Review

inferredcites →https://doi.org/10.1186/s40594-022-00377-5openalex-snapshot

The application of AI technologies in STEM education: a systematic review from 2011 to 2021

inferredcites →https://doi.org/10.18535/ijsshi/v10i01.02openalex-snapshot

Exploring the Benefits and Challenges of AI-Language Learning Tools

inferredcites →https://doi.org/10.18608/jla.2024.7985openalex-snapshot

A Novel Deep Learning Model for Student Performance Prediction Using Engagement Data

inferredcites →https://doi.org/10.3102/0013189x211057904openalex-snapshot

A Revaluation of Computational Thinking in K–12 Education: Moving Toward Computational Literacies

inferredcites →https://doi.org/10.3102/0091732x20903304openalex-snapshot

Mining Big Data in Education: Affordances and Challenges

inferredcites →https://doi.org/10.33021/icsecc.v1i1.4166openalex-snapshot

The Implementation of Deep Learning Methods in Education to Support Personalized Learning

inferredcites →https://doi.org/10.3389/fpsyg.2022.962984openalex-snapshot

A study of students’ learning perceptions and behaviors in remote STEM programming education

inferredcites →https://doi.org/10.3390/bdcc5040064openalex-snapshot

How Does Learning Analytics Contribute to Prevent Students’ Dropout in Higher Education: A Systematic Literature Review

inferredcites →https://doi.org/10.3390/electronics12102254openalex-snapshot

Bibliometric Analysis of Automated Assessment in Programming Education: A Deeper Insight into Feedback

inferredcites →https://doi.org/10.3390/electronics13183762openalex-snapshot

Leveraging AI in E-Learning: Personalized Learning and Adaptive Assessment through Cognitive Neuropsychology—A Systematic Analysis

inferredcites →https://doi.org/10.4018/ijdet.2020010103openalex-snapshot

Learning Path Recommendation System for Programming Education Based on Neural Networks

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.5281/zenodo.22999473zenodo-depositor-declared

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.