Utilizing artificial intelligence to support analyzing self-regulated learning: A preliminary mixed-methods evaluation from a human-centered perspective

An adaptive Metalearner-based flow: a tool for reducing anxiety and increasing self-regulation

(2022) Ghassan Jebur et al.   USER MODELING AND USER-ADAPTED INTERACTION

Lessons Learned and Future Directions of MetaTutor: Leveraging Multichannel Data to Scaffold Self-Regulated Learning With an Intelligent Tutoring System

(2022) Roger Azevedo et al.   Frontiers in Psychology

Using Machine Learning to Score Multi-Dimensional Assessments of Chemistry and Physics

(2021) Sarah Maestrales et al.   Journal of Science Education and Technology

Sentiment Analysis of Students’ Feedback with NLP and Deep Learning: A Systematic Mapping Study

(2021) Zenun Kastrati et al.   Applied Sciences-Basel

Using multiple self‐regulated learning measures to understand medical students’ biomedical science learning

(2020) Roghayeh Gandomkar et al.   MEDICAL EDUCATION

Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network

(2020) Alex Sherstinsky   PHYSICA D-NONLINEAR PHENOMENA

Source Code Assessment and Classification Based on Estimated Error Probability Using Attentive LSTM Language Model and Its Application in Programming Education

(2020) Md. Mostafizer Rahman et al.   Applied Sciences-Basel

Understanding artificial intelligence based radiology studies: What is overfitting?

(2020) Simukayi Mutasa et al.   CLINICAL IMAGING

Automated Scoring of Chinese Grades 7–9 Students’ Competence in Interpreting and Arguing from Evidence

(2020) Cong Wang et al.   Journal of Science Education and Technology

How Does Augmented Observation Facilitate Multimodal Representational Thinking? Applying Deep Learning to Decode Complex Student Construct

(2020) Shannon H. Sung et al.   Journal of Science Education and Technology

A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures

(2019) Yong Yu et al.   NEURAL COMPUTATION

Bidirectional LSTM with attention mechanism and convolutional layer for text classification

(2019) Gang Liu et al.   NEUROCOMPUTING

Bidirectional handshaking LSTM for remaining useful life prediction

(2018) Ahmed Elsheikh et al.   NEUROCOMPUTING

Knowledge is not enough to solve the problems – The role of diagnostic knowledge in clinical reasoning activities

(2016) Jan Kiesewetter et al.   BMC Medical Education

The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets

(2015) Takaya Saito et al.   PLoS One

Exploring clinical reasoning in novices: a self-regulated learning microanalytic assessment approach

(2014) Anthony R Artino et al.   MEDICAL EDUCATION

Cognitive Problem Solving Patterns of Medical Students Correlate with Success in Diagnostic Case Solutions

(2013) Jan Kiesewetter et al.   PLoS One

Human vs. Computer Diagnosis of Students’ Natural Selection Knowledge: Testing the Efficacy of Text Analytic Software

(2011) Ross H. Nehm et al.   Journal of Science Education and Technology