Showing posts with label learning. Show all posts
Showing posts with label learning. Show all posts

12 February 2010

Framing

Framing is a construct developed in anthropology and linguistics to describe how an individual or group forms a sense of "what is it that's going on here?". We frame an event, utterance, or situation by interpreting it based on previous experience. E.g. when we see someone running like a madman on the street, we may interpret that as a fugitive on the run, and may expect someone else is chasing after him. Students may look at an exam question and quickly associate the same question with a previous exercise problem she has seen before.

Epistemological framing refers to the way learners form a sense of what is taking place with respect to knowledge, e.g. what past experience or knowledge is relevant to complete an assignment. Social framing refers to the way people form a sense of what to expect of each other, and of themselves in a social setting, e.g. what students expect from each other in a group project. Social framing can be observed through people's behaviors. Epistemological framing can be deduced through student learning assessments and their problem solving skills.

Based on the idea of social and epistemological framing, Scherr and Hammer (2009) studied how student interact with each other in physics tutorials. They coded student behaviors based on whether they work alone, discuss with each other, discuss with the TA, or just social, and correlate with student thinking, and their epistemological framing. They show that the behavioral cluster are evidence of student epistemologies. In particular, sitting up, speaking clearly, and gesturing frequently are evidence of novel reasoning and mutually constructed understanding.

Reference:

Scherr, R. and Hammer, D. (2009). Student Behavior and Epistemological Framing: Examples From Collaborative Active-Learning Activities in Physics. Cognition and Instruction, 27(2), pp 147 - 174.

02 January 2010

Optimized University

Carl Wieman put together a "think piece" on a new model for post-secondary education, which he called the Optimized University. Here are some of the highlights:
  • The Optimized University will focus on the desired student education outcomes rather than number of courses / credits students need to graduate with. There will be a switch in focus from processes to outcomes.
  • The instructor's role will primarily be an educational designer who continually assesses student's development with the assistance of technology and provides targeted feedback and challenges to the students to optimize their learning rather than simply a one-way transference of knowledge to students.
  • Clearly delineated educational goals will be created by relevant faculty in consultation with other stakeholders such as industry, educational systems, and government.
  • IT will be used to accurately diagnose student preparation, conceptual knowledge, beliefs, and epistemologies. IT will also be used for new teaching methods (interactive simulations, intelligent tutors, sophisticated diagnostic capabilities, clickers), improved class organization and management systems, archiving systems for educational materials and data, deployment of new modes of presenting material and enhanced communication by linking students with each other and faulty.
  • The Optimized University will have sophisticated pedagogical content knowledge - knowledge on how the content and skills are best learned, common student difficulties, approaches most effective in helping students overcome those difficulties, and how to motivate students to master the subject.
  • Validated assessments of desired deep understanding of material rather than a simple memorization of facts and problem solving recipes will be in place.
  • Technology will be used to make classes more intellectually engaging and educationally effective. Research has shown that there have been demonstrations of classes of 200 or more achieving very good learning gains using clickers and peer instruction in the lectures, computer graded homework systems, student-student collaboration (on / off line), extensive course webpages, and survey systems.
  • Carefully constructed diagnostic exams will be used to assess student preparedness and to reduce large hidden cost in instructor's time to provide the unprepared students with extra assistance and in dealing with the repercussions of failing students.
  • Student support will range from peer support and intelligent tutoring system, to trained undergraduate and graduate TA, to the expertise available from the faculty.
  • Students will have authentic research experience upon graduation.
Reference:

Wieman, Carl. (n.d.) A New Model for Post-Secondary Education, the Optimized University. Retrieived on January 2, 2010, from here.