0:00:00.763,0:00:02.908 As I said a lot of new technology is being[br]built. 0:00:03.515,0:00:05.490 But it's very easy to be distracted by[br]this technology. 0:00:06.396,0:00:09.623 It's easy to forget what to focus on[br]because of all the shiny visuals. 0:00:10.677,0:00:12.747 Simultaneously technology can open new[br]doors 0:00:13.428,0:00:15.532 or put in new constraints on our pedagogy. 0:00:16.160,0:00:17.694 So let's think again, let's refocus. 0:00:18.809,0:00:20.909 When we teach what should we care about[br]the most? 0:00:22.319,0:00:23.865 While I have some practical experience as an instructor, 0:00:25.159,0:00:26.842 but I am not an expert in education. 0:00:27.669,0:00:29.940 So I rely on an influential study by John[br]Hattie 0:00:31.949,0:00:34.611 He looked at 800 meta analyses and[br]synthesized them. 0:00:35.686,0:00:37.164 He was looking for what influences[br]learning, 0:00:37.740,0:00:40.242 which circumstances, tools and techniques[br]had 0:00:40.406,0:00:43.586 the best effects, or which just had average[br]effects. 0:00:44.695,0:00:48.026 So let's pick and choose a few of those[br]factors in no order at the moment. 0:00:49.398,0:00:50.909 The first is physical attributes. 0:00:52.004,0:00:53.845 The class size, for instance. 0:00:54.423,0:00:56.355 It's clear that this is relevant in a MOOC[br]setting. 0:00:57.492,0:01:00.433 The second factor is computer-assisted[br]instruction. 0:01:01.049,0:01:03.003 It's also clear that this is crucial in a MOOC 0:01:04.351,0:01:06.468 There are other factors that will affect[br]teaching. 0:01:07.323,0:01:09.035 Things that are maybe more intrinsic to[br]the student. 0:01:10.268,0:01:13.165 Course, we would like to think that we can[br]teach anyone, but we expect the 0:01:13.200,0:01:16.590 students' disposition to learn, their[br]intrinsic motivation, to 0:01:16.868,0:01:18.285 have to be a factor in the outcome. 0:01:19.456,0:01:23.148 In some way, MOOCs have a self-selected[br]audience for now so this is mitigated. 0:01:24.892,0:01:27.562 There's also the factor of the student's[br]prior cognitive ability. 0:01:28.825,0:01:30.550 Think of something like their IQ, for[br]instance. 0:01:31.995,0:01:33.160 We have little control there. 0:01:34.565,0:01:37.031 Fortunately, there are parts we can[br]actively change. 0:01:38.318,0:01:40.712 The instructional quality of the course,[br]for instance. 0:01:41.695,0:01:45.252 That is, the student's perception of the[br]quality of the instruction they get, 0:01:45.957,0:01:47.226 according to Hattie's definition. 0:01:48.535,0:01:50.058 What about individualization? 0:01:50.648,0:01:52.896 The design of a learning program[br]specific to the student. 0:01:54.230,0:01:55.356 Or maybe mastery learning. 0:01:56.156,0:01:57.460 This is when students are given tests 0:01:58.035,0:02:00.571 on relatively easy material soon after[br]instruction. 0:02:01.602,0:02:04.710 And if it seems necessary they're given more work again. [br] 0:02:04.710,0:02:06.480 They're retested until they get it. 0:02:08.340,0:02:11.070 Maybe a teacher could challenge students[br]by outlining goals, 0:02:12.868,0:02:16.079 but there is also feedback, which in Hattie's[br]mind, includes 0:02:16.482,0:02:21.029 positive reinforcement for what has been[br]done well, information about 0:02:21.308,0:02:25.746 what needs to improve but also includes merely clarifying the goals, 0:02:27.272,0:02:28.254 as part of the feedback. 0:02:30.095,0:02:31.601 There's also peer tutoring, where the 0:02:31.873,0:02:33.778 students explain, check, and assess each[br]other. 0:02:35.122,0:02:36.060 How about a good old test? 0:02:36.574,0:02:39.444 How about external factors, such as the[br]presence of a television at home? 0:02:40.843,0:02:43.796 Hattie identified 130 different such[br]factors. 0:02:45.236,0:02:46.172 I only picked a few here. 0:02:47.002,0:02:49.519 But it's already a lot of influencers on[br]the student's achievement. 0:02:51.383,0:02:53.346 But how do you rank them so we could make 0:02:53.426,0:02:55.988 sense of the potential thug of that large[br]number of influencers [sic: influences]? 0:02:58.566,0:02:59.814 So what do you think ranked the best? 0:03:00.420,0:03:01.039 What ranked the worst? 0:03:02.433,0:03:04.586 You can maybe guess that television is the[br]worst. 0:03:05.137,0:03:07.680 That seems kind of an obvious candidate. 0:03:08.395,0:03:11.126 In fact, television slowed down a student's progress. 0:03:12.485,0:03:15.542 Next up, and very controversially, was class[br]size. 0:03:16.907,0:03:20.122 This is still very much at the bottom; in[br]fact the data indicates 0:03:21.033,0:03:23.310 inconclusively that small class sizes have[br] 0:03:23.310,0:03:26.855 a tiny positive effect on the student's [br]learning. 0:03:28.431,0:03:30.000 The best way to make sense of this is probably 0:03:30.360,0:03:32.038 to better understand Hattie's methodology. 0:03:33.400,0:03:36.178 This result comes after accounting for all 0:03:36.359,0:03:39.514 the other effects, if all else remains[br]equal. 0:03:42.180,0:03:44.172 So if a politician somewhere bases a[br]decision on this study, and 0:03:44.431,0:03:47.579 blindly doubles the class size of all the[br]classrooms in their country - 0:03:48.590,0:03:51.070 presumably, importantly, by firing half of the[br]teachers - 0:03:52.111,0:03:54.517 well the teachers that remain will suddenly be swamped with work. 0:03:55.290,0:03:57.043 And unable to do some of the other 0:03:57.301,0:03:59.295 techniques that actually have a very[br]positive effect. 0:04:00.286,0:04:01.157 So this would be bad. 0:04:03.186,0:04:04.409 Now on to the positive effects. 0:04:05.681,0:04:07.723 When Hattie performed this study he very[br]well understood 0:04:08.177,0:04:10.282 that most of those techniques had a[br]positive effect. 0:04:11.098,0:04:13.314 The point was to identify those that were[br]MOST effective. 0:04:14.469,0:04:16.544 So he set the bar at the average effect[br]size. 0:04:17.631,0:04:21.083 Obviously we're interested in the top[br]effects, those way above the bar. 0:04:22.014,0:04:23.597 But we should proceed methodically. 0:04:24.459,0:04:26.083 Below that bar, still with a positive[br]effect 0:04:26.546,0:04:28.965 but not so great, are computer assisted[br]instruction, 0:04:30.235,0:04:31.715 individualization, and testing. 0:04:33.990,0:04:35.679 Above that, and in a position that starts[br]to be 0:04:35.868,0:04:39.376 very useful, are challenging students with[br]goal [sic: goals], 0:04:39.723,0:04:42.271 peer tutoring, mastery learning, and, slightly 0:04:42.512,0:04:45.077 above all those three, the student's disposition to learn. 0:04:46.877,0:04:49.248 But the three stellar effects are feedback, 0:04:49.862,0:04:51.597 student's prior cognitive ability, 0:04:52.094,0:04:53.164 and instructional quality. 0:04:54.355,0:04:58.085 Each is at a level where you expect a 50%[br]increase in the pace of learning. 0:04:59.382,0:05:01.416 Of course feedback is a bit of an umbrella[br]term here. 0:05:02.562,0:05:06.235 It covers pure feedback or mastery[br]learning, for instance. 0:05:07.753,0:05:09.874 Note, also, that computer-assisted goes up 0:05:10.470,0:05:15.724 as the course becomes more interactive[br]and more engaging. And also that smaller 0:05:16.061,0:05:18.371 effects can be combined to accumulate traction. 0:05:18.963,0:05:20.275 So nothing should be fully dismissed. 0:05:21.875,0:05:25.198 So, we now have Hattie's final ranking for[br]the effects I've selected. 0:05:26.888,0:05:28.031 Why am I talking about this? 0:05:28.679,0:05:30.876 Well, because in MOOCs some of it is[br]especially relevant. 0:05:32.080,0:05:34.542 Mastery learning has been trumpeted again and again for MOOCs.[br] 0:05:35.085,0:05:38.944 You can offer a quiz, sampling questions and answers until the student gets it.[br] 0:05:40.131,0:05:43.424 Interaction as well. More and more MOOCs have interactive components [br] 0:05:43.860,0:05:46.124 that students can use to visually see what[br]they are learning. 0:05:47.461,0:05:49.172 So this is all a success story for MOOCs 0:05:49.491,0:05:52.006 integrating fully those effects in the[br]format, if you want. 0:05:53.499,0:05:56.508 Peer effects are also important and also[br]present in MOOCS. 0:05:57.282,0:05:58.343 But they're not fully mastered yet. 0:05:59.227,0:06:01.647 There are some structured peer grading[br]components in MOOCS 0:06:02.239,0:06:04.150 but they're still in early stages and can[br]be improved. 0:06:05.208,0:06:07.714 Also, few people know for sure how to get[br]a forum started, 0:06:08.448,0:06:11.664 one that encourages students from all[br]backgrounds to engage with their peers. 0:06:12.623,0:06:14.147 I'm certainly not one of those[br]experts. 0:06:14.855,0:06:17.312 It's a skill, something that needs to be[br]learned and practiced. 0:06:18.433,0:06:21.210 Some of those experts, on the other hand,[br]might be lurking in this class. 0:06:22.214,0:06:25.552 So please help the discussion get started[br]on the forums, if you feel you can help. 0:06:27.115,0:06:28.376 I would love to engage with all of you. 0:06:29.141,0:06:30.259 Share your opinion, don't be afraid. 0:06:31.060,0:06:32.239 There's definitely no right or wrong. 0:06:33.032,0:06:34.754 Even Hattie's study is open to criticism. 0:06:35.632,0:06:36.913 And especially my retelling of it. 0:06:38.028,0:06:39.820 This is education. There is no one answer. 0:06:40.633,0:06:43.043 So, I would love to have a discussion on[br]the forums about all that. 0:06:44.394,0:06:46.944 The last effect I want to discuss, that[br]will be the 0:06:47.217,0:06:50.978 next video, is the most important, according[br]to Hattie: that is "feedback".