Sentence examples for collaborative reasoning from inspiring English sources
Students who experienced Collaborative Reasoning wrote essays with better-developed arguments than comparable children who did not experience Collaborative Reasoning.
As a result, COLLECT has a great impact on context-aware decentralized and collaborative reasoning for IoT, promoting context-aware intelligent decision making in such scope.
By studying the types of knowledge and collaborative reasoning embedded in argumentative activity, we illustrated how learners attempted to enlarge, fine-tune and revise their own beliefs and conceptions with their peers, thus sharing the cognitive burden of learning (Vygotsky, 1978).
In this research, the capacities of intelligent collaborative design reasoning have been enhanced.
In this paper, we propose an interactive CBL System, called iCBLS, which supports the development of collaborative clinical reasoning skills for medical students in an online environment.
1 + 1 + 1 + 1 + 2+ 1 + 2 + 1 + 1 + 1+ 1 + 1 =14 Conceptual Technology Acceptance Model TAMmultipleiple regression analysis; WOM Age Satisfaction Entertainment and Subjective norms; E-CWE; repository; WAP; k-means; RFID; semantic reasoning; collaborative filtering; flipkart; common floor; xiaomi; BDI agent; hierarchical regression analysis.
The nature of argumentation in a social context naturally fostered students to engage in a collaborative discourse on scientific reasoning.
We also explain how domain knowledge can be exploited and capitalised using case-based reasoning and collaborative work.
We develop a knowledge-based system (KbS) which is composed of three main parts: knowledge gathering, knowledge representation and reasoning, and collaborative business process modelling.
As Computational Intelligence (CI) techniques evolved, a number of frameworks emerged; such as Recognition-Primed Decision (RPD), Pro- cedural Reasoning System (PRS), Collaborative Agent for Simulating Teamwork (CAST), Adaptive Character of Thought– Rational (ACT-R), distributed Multi-Agent Reasoning System (dMars), State, Operator And Result (SOAR) and Java Agent Compiler and Kernel (JACK).
At these workshops, we demonstrate a pedagogical approach that combines evolutionary problem solving, collaborative inquiry learning and quantitative reasoning [ 11].
