The Khan Academy has an interesting model, not necessarily for the videos themselves (which as far as I have seen are basically a modern version of videotaping a college lecture, albeit a well-explained lecture by an intelligent teacher) but more for the infrastructure built up to support the videos. I won't go into my views on lectures or flipping the classroom - others have already voiced my concerns on that front.
One item in particular that hasn't been much discussed here is the self-paced exercises. In here, students can try a problem, to see if they understand the content; and they keep trying until they get 10 in a row. The Khan Academy logs data about how many tries and how long it takes, so they have data on what they consider to be "mastery" (this may be an oversimplification...) There is also a certain game-play aspect which I think is kinda cool, and I like the map of linked concepts/exercise sets. As far as I see, they only have math problems up there as of now.
At face value, it looks like plug-and-chug, drill-and-kill methodology that irks any teacher of merit. But: there are opportunities to take this infrastructure and make it so much stronger ("formative" vs "summative").
Diagnoser.com is an example of an online exercise bank that includes aspects of several decades of physics education research (also some chem and life science) but the concept could be generalized for other disciplines as well. Each question includes "distractors" (wrong answers) that appeal to certain common misconceptions (what they call "facets" of understanding). If you get it right, great! you go on to another problem that might pose a similar question with a twist to challenge you. If you get it wrong, it recognizes from your answer what your misconception might be, gives you a quick mini-lesson to challenge your thinking on that, and gives you a related (though not the same) problem to see if you get it (for physics teachers: like an interactive FCI). The data is reported to the teacher, including right/wrong answers, and the "facets" that correspond to certain ideas and misconceptions. The teacher can see where their teaching (or in this case, Khan videos) have been effective, and where they could use more work (perhaps suggesting the student watch or review a particular video). NOTE: this is only one aspect of the Diagnoser Project's larger program, so I have taken it out of context, but it seems appropriate for this discussion.
This formative approach is effective especially for the conceptual problems, not just the plug-and-chug problems that I saw on the KhanAcademy.org site. Yes, this is much more difficult to program than "right/wrong, next!" problems, and requires research to write good facet-based "distractors" (take advantage of years or decades of education research out there!) but it (a) gets more useful data than just "right/wrong" and (b) allows students to act on their wrong answers immediately by challenging them to think about why it was wrong. I think incorporating something like this with Khan's gameplay/scoring/data collection methods would make the exercise feature much stronger.
One item in particular that hasn't been much discussed here is the self-paced exercises. In here, students can try a problem, to see if they understand the content; and they keep trying until they get 10 in a row. The Khan Academy logs data about how many tries and how long it takes, so they have data on what they consider to be "mastery" (this may be an oversimplification...) There is also a certain game-play aspect which I think is kinda cool, and I like the map of linked concepts/exercise sets. As far as I see, they only have math problems up there as of now.
At face value, it looks like plug-and-chug, drill-and-kill methodology that irks any teacher of merit. But: there are opportunities to take this infrastructure and make it so much stronger ("formative" vs "summative").
Diagnoser.com is an example of an online exercise bank that includes aspects of several decades of physics education research (also some chem and life science) but the concept could be generalized for other disciplines as well. Each question includes "distractors" (wrong answers) that appeal to certain common misconceptions (what they call "facets" of understanding). If you get it right, great! you go on to another problem that might pose a similar question with a twist to challenge you. If you get it wrong, it recognizes from your answer what your misconception might be, gives you a quick mini-lesson to challenge your thinking on that, and gives you a related (though not the same) problem to see if you get it (for physics teachers: like an interactive FCI). The data is reported to the teacher, including right/wrong answers, and the "facets" that correspond to certain ideas and misconceptions. The teacher can see where their teaching (or in this case, Khan videos) have been effective, and where they could use more work (perhaps suggesting the student watch or review a particular video). NOTE: this is only one aspect of the Diagnoser Project's larger program, so I have taken it out of context, but it seems appropriate for this discussion.
This formative approach is effective especially for the conceptual problems, not just the plug-and-chug problems that I saw on the KhanAcademy.org site. Yes, this is much more difficult to program than "right/wrong, next!" problems, and requires research to write good facet-based "distractors" (take advantage of years or decades of education research out there!) but it (a) gets more useful data than just "right/wrong" and (b) allows students to act on their wrong answers immediately by challenging them to think about why it was wrong. I think incorporating something like this with Khan's gameplay/scoring/data collection methods would make the exercise feature much stronger.