A review of automated feedback systems for learners: Classification framework, challenges and opportunities
Teacher feedback provided to learners in real-time is a crucial factor for their knowledge and
skills acquisition. However, providing real-time feedback at an individual level is often …
skills acquisition. However, providing real-time feedback at an individual level is often …
Applying machine learning in science assessment: a systematic review
Machine learning (ML) is an emergent computerised technology that relies on algorithms
built by 'learning'from training data rather than 'instruction', which holds great potential to …
built by 'learning'from training data rather than 'instruction', which holds great potential to …
The effect of automated feedback on revision behavior and learning gains in formative assessment of scientific argument writing
Application of new automated scoring technologies, such as natural language processing
and machine learning, makes it possible to provide automated feedback on students' short …
and machine learning, makes it possible to provide automated feedback on students' short …
A review of AWE feedback: Types, learning outcomes, and implications
Automated writing evaluation (AWE) plays an important role in writing pedagogy and has
received considerable research attention recently; however, few reviews have been …
received considerable research attention recently; however, few reviews have been …
[HTML][HTML] Adaptive feedback from artificial neural networks facilitates pre-service teachers' diagnostic reasoning in simulation-based learning
In simulations, pre-service teachers need sophisticated feedback to develop complex skills
such as diagnostic reasoning. In an experimental study with N= 178 pre-service teachers …
such as diagnostic reasoning. In an experimental study with N= 178 pre-service teachers …
Moving towards engaged learning in STEM domains; there is no simple answer, but clearly a road ahead
T de Jong - Journal of computer assisted learning, 2019 - Wiley Online Library
What is the best approach to educating students is, evidently, the pivotal question in
educational research. In the general debate on this question, clear positions are often …
educational research. In the general debate on this question, clear positions are often …
Assessing argumentation using machine learning and cognitive diagnostic modeling
In this study, we developed machine learning algorithms to automatically score students'
written arguments and then applied the cognitive diagnostic modeling (CDM) approach to …
written arguments and then applied the cognitive diagnostic modeling (CDM) approach to …
Closing the loop–The human role in artificial intelligence for education
Recent advancements in artificial intelligence make its use in education more likely. In fact,
existing learning systems already utilize it for supporting students' learning or teachers' …
existing learning systems already utilize it for supporting students' learning or teachers' …
Machine learning and Hebrew NLP for automated assessment of open-ended questions in biology
Abstract Machine learning algorithms that automatically score scientific explanations can be
used to measure students' conceptual understanding, identify gaps in their reasoning, and …
used to measure students' conceptual understanding, identify gaps in their reasoning, and …
Exploring new depths: Applying machine learning for the analysis of student argumentation in chemistry
Constructing arguments is essential in science subjects like chemistry. For example,
students in organic chemistry should learn to argue about the plausibility of competing …
students in organic chemistry should learn to argue about the plausibility of competing …