The curriculum outlines what we believe to be a continuum of skills, competencies, behaviours and attitudes ranging
from functional skills to intellectual operations that together comprise the spectrum of information literacy.
The overarching aim of the curriculum is to help undergraduate learners to develop a high‐level, reflective understanding of information contexts and issues which will empower them with a robust framework for handling new information situations, and to generate strategies for evaluating, analysing and and assimilating that information as needed and at the time it is required.
The emphasis throughout is on the student’s development as a discerning scholar and, beyond the academic arena, as an informed citizen and an autonomous and lifelong learner.
Threshold concepts are a theory of teaching and learning proposed by two British
educators, Jan Meyer and Ray Land. Threshold concepts can be used for teaching information literacy and could inform the Standards revision as well. There are five definitional criteria that make a concept a threshold concept
Le classement mondial des établissements établi par les Mines confirme "le particularisme français", à savoir la "ségrégation de la formation des élites managériales au sein d’un petit nombre d’établissements fortement financés". C'est ce
Research shows that grades are often not a good reflection of student learning and growth, and that being graded can be stressful for students. In addition, many traditional grading practices can exacerbate existing academic inequalities. We encourage faculty to design assessments that directly support student learning first, with their evaluative role considered secondarily.
We have compiled some options for creating assessment activities and policies which are learning-focused, while also being equitable and compassionate. The suggestions are loosely grouped by expected faculty time commitment. Many suggest ways faculty can provide students with skills practice, feedback on their performance, and opportunities for reflection on their learning processes and growth. In all cases, the suggestions below assume some course design fundamentals including assessments aligned with course learning objectives.
AQUA - Automatic Quality Assessment and Feedback in eLearning 2.0
The current development of Web 2.0 makes the distinction between author and reader fading away. Users now produce huge amounts of data which sometimes is of questionable quality. This leads to the problem of information overload: how to make the most of this information without overwhelming the users? One key challenge to solve this issue is to assess the quality of the user generated content.
In AQUA, we seek to develop algorithms to assess the quality of content automatically. We focus on two sources for this assessment: (1) user generated content; (2) feedback by users of the content. To do so, we investigate techniques from the fields of natural language processing (NLP), information retrieval, and machine learning.
So, in a nutshell, AQUA will answer the following questions:
What is quality of information? How does it matter in information search?
How to model the quality of user generated content?
How far can you go with automatic methods in assessing quality?
How to give feedback to users regarding quality?
The AQUA project is associated with the project "Mining Lexical-Semantic Knowledge from Dynamic and Linguistic Sources and Integration into Question Answering for Discourse-Based Knowledge Acquisition in e-learning (QA-EL)".
This paper considers current assessment practice, looks at the impact of the Internet on today’s learners, explores ways of modernising assessment to narrow the gap between the everyday lives of students and the assessment practices that we impose on them.
H. Spada, A. Meier, N. Rummel, and S. Hauser. Proceedings of th 2005 conference on Computer support for collaborative learning: learning 2005: the next 10 years!, page 622–631. International Society of the Learning Sciences, (2005)