inquiry-based-learning
Using sequential pattern mining to explore learners' behaviors and evaluate their correlation with performance in inquiry-based learning
... test. Based on learning analytics applied to data collected from an experimen- tation conducted with our remote lab dedicated to computer education, we discover recurrent sequential patterns of actions that ...
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Using sequential pattern mining to explore learners' behaviors and evaluate their correlation with performance in inquiry-based learning
... main learning outcomes: understanding of a Shell com- mand, Linux file system management using Shell commands, and understanding of several basic concepts of Shell ...
15
Inquiry-based analysis of early years children books : developping skills for later science education
... these inquiry-based learning sequences made it difficult to decide whether the children did, or not, understand the relationship between the two worlds, and the interest of navigating between ...
7
Evaluating product-based possibilistic networks learning algorithms
... the learning method graphically or numerically. We could evaluate learning algorithms graphically by comparing the initial and the learned possibilistic networks structures using graphical evaluation ...
11
Computational Advantages of Deep Prototype-Based Learning
... W top (t + 1) ← W top (t) − η · (y(t) − p(t)) · Z h2 (t) (4) We use two indicators to assess performance: mean classification errors and total number of connection weights. Mean classification error This indicator is a ...
8
Inquiry-based physics education in French middle school.
... the learning of scientific ...scientific inquiry in the 60s in the United States (Schwab, ...scientific inquiry are often used in order to increase students' motivation and interest in ...
9
MRA-based statistical learning from incomplete rankings
... of learning a ranking model from incomplete rankings and introduces a novel general statistical method to address ...it. Based on an original concept of multi- resolution analysis (MRA) of incomplete rank- ...
11
Deep learning in event-based neuromorphic systems
... feature learning, which seems to be mostly unaffected by the presen- tation time of a single ...the learning accumulators are ...feature learning mechanism still extracts meaningful ...
147
Constraint Based Learning of Mixtures of Trees
... The main drawback of MTs is their reduced interpretability: it is no longer possible to graphically infer conditional independences. However, MTs can still be used to analize the structure of a problem, by counting edges ...
3
Maturationally-Constrained Competence-Based Intrinsically Motivated Learning
... with learning sparse data in high dimensional spaces. Based on the observation that random exploration could be very long, unsafe, or costly, they introduced an exploration algorithm decomposing the problem ...
8
Consistency of fuzzy model-based reinforcement learning
... A number of related fuzzy approximators have been pro- posed and applied to model-free RL, e.g., Q-learning [9], [10] or actor-critic algorithms [11]–[13]. However, most of these approaches are heuristic in ...
7
Human-Agent Interaction Model Learning based on Crowdsourcing
... deep learning techniques, which played an important role in the latest successes of decision making algorithms based on Reinforcement Learning [33] and Planning under Uncertainty ...
10
Preimage problem in kernel-based machine learning
... MACHINE LEARNING 11 such as the received signal strength indication (RSSI), the connectivity, the hop count, the time difference of arrival, ...are based on either MDS techniques or semidefinite program- ...
14
Accuracy and interpretability, tree-based machine learning approaches.
... We compare the tree-based approaches, using our own implementation in Matlab, to the standard linear SVM available in PRoNTo [6]. Results: Methods are directly fitted from voxel-based feature vectors and ...
5
How to leverage reflection in case of inquiry learning? The study of awareness tools in the context of virtual and remote laboratory
... ronments: the enhanced Lab4CE system and the traditional computers usually available to students to perform practical activities. 4.1 Design and Protocol The experiment took place in the Computer Science Institute of ...
16
Problem Based Learning in SLT education : Apprentissage de la Démarche Logopédique (Learning of SLT approach)
... Problem based learning in SLT education : Apprentissage de la Démarche Logopédique (Learning of SLT Approach) Agnès Sadzot & Christelle Maillart (Université de Liège, Belgique) Creative work In ...
1
How to leverage reflection in case of inquiry learning? The study of awareness tools in the context of virtual and remote laboratory
... Finally, the indicator is processed according to a mathematical predicate based on these rules and that returns 0 if no errors were detected for a given command. Once this indicator is inferred by the enriching ...
15
UNSUPERVISED LEARNING BASED MODEL ORDER REDUCTION FOR HYPERELASTOPLASTICITY
... • Connectivity clustering approach with distance measure improves online prediction with three clusters of snapshots grouped based on e p. • Clustering based on F P and[r] ...
28
Binary Probability Model for Learning Based Image Compression
... Lossy image compression can thus be expressed as an op- timization problem: jointly minimizing the distortion and the rate (i.e. information in the latents). Traditional coding ap- proaches such as JPEG or BPG ...
6
Function Learning with Carbon Nanotube-based Synapses
... circuits based on non-conventional/non- CMOS memory devices and displaying function learning capabilities remain very ...carbon-nanotube based memory elements can be used as artificial synapses, ...
2