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Learning by Doing: An Empirical Study of Active Teaching Techniques

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1 Learning by Doing: An Empirical Study of Active Teaching Techniques
Jana Hackathorn, Erin D. Solomon, Kate L. Blankmeyer, Rachel E. Tennial, Amy M. Garczynski Presented by Sterling McLeod

2 Background/Motivation
Conventionally, higher education classroom time is largely spent on verbal communication of material without meaningful interaction with students Students are to passively absorb the information and do whatever is necessary to master material before an exam Usually leads to students taking notes during class and learning material on a deep level outside of class Research suggests that this style of teaching: Does not engage students Relies heavily on instructor’s ability to describe things Does not maintain student attention Does not promote critical thinking Misc. other bad things…

3 Background/Motivation
Active Teaching - Any technique that involves the students in the learning process and holds students responsible for their own learning1 This definition creates a large umbrella over many techniques Group discussions Games Journaling Field trips Demonstrations Routinely asking questions while lecturing 1 Bonwell, C. C., & Eison, J. A. (1991). Active learning: Creating excitement in the classroom (ASHE-ERIC Higher Education Rep. No. 1). Washington, DC: The George Washington University, School of Education and Human Development.

4 Background/Motivation
Active teaching techniques change the pace of the typical classroom environment In-class time is no longer simply an “information dump” These techniques promote creativity and provide more freedom on the instructor’s part to find the best ways to engage students Different techniques will engage students differently Some may warrant more critical thinking by the students (e.g. discussions) Some may lead to better comprehension through observing phenomena rather than listening to how it works (e.g. visiting a mental hospital) Desirable to have empirical data to support this

5 Study To assess learning, first three levels of Bloom’s taxonomy (cognitive levels) are evaluated: Knowledge Comprehension Application Four techniques are examined: Lecture, Demonstration, Discussion, In-class activities

6 Study First three levels of Bloom’s taxonomy as evaluation criteria:
Knowledge Ability to remember facts, terms, basic concepts of material Measured by questions asking students to identify, list, or describe basic concepts Comprehension Ability to compare and contrast ideas and give descriptions of material Measured by prompts asking students to reword information in a meaningful matter Application Ability to use acquired knowledge Measured by applying material to new constructs

7 Study Lecture “Information Dump” Presenting information with little opportunity for interaction Generally, instructors introduce concepts, give definitions, and show examples of how phenomena work Students may be able to retain basic concepts such as vocabulary terms, but will not understand intricacies of applying material Hypothesis on lecturing: Students taught by lecture would score higher on knowledge level questions than comprehension and application level questions

8 Study Demonstrations Activities that show how phenomena work, e.g. examples on board, using props, etc. Students observe (or participate) rather than listening and interpreting Do not engage all students and do not promote critical thinking Students may understand concepts, but may not recognize vocabulary or have increased ability to apply material Hypothesis on demonstrations: Students taught through demonstrations would score higher on comprehension level questions than knowledge and application level questions

9 Study Discussions Students give and receive information Students must build off previous contributions – requires comprehension of material and critically thinking about progression of material Hypothesis on discussions: Students taught through discussions would score higher on comprehension level questions than knowledge and application level questions

10 Study In-class Activities
Arguably the most active teaching method Usually involve all students in a class working to solve a problem Students manipulate constructs themselves to make phenomena occur In order to apply material, students must understand concepts Hypothesis on in-class activities: Students taught with in-class activities would score higher on both comprehension and application level questions than knowledge

11 Study Hypotheses on student scores based on teaching technique:
Lecture: knowledge > comprehension, application Demonstrations: comprehension > knowledge, application Discussions: comprehension > knowledge, application In-class Activities: comprehension, application > knowledge In-class Activities > Lecture

12 Method Students were taught with 1 of the 4 techniques
Learning assessed with 6 quizzes and 4 exams Participants Social Psychology course Midwestern university 51 students (18 men, 33 women) Average GPA = 3.31 (SD = 0.66) Average Age = (SD = 0.76) 46% were psychology majors Procedure Material taught through whichever technique he/she thought complemented the material Two research assistants (unaware of hypotheses) created quizzes to assess learning Two other R.A.s (also unaware) graded quizzes Instructor graded exams

13 Results Knowledge Comprehension Application M SD Lecture .760 .169
.878 .109 .919 .100 Demonstrations .678 .212 .698 .285 .808 .157 Discussions .820 .180 .621 .267 .856 .098 In-Class Activity .789 .163 .872 .142 .900 .088

14 Results/Discussion Hypothesis 1: Students taught by lecture will have higher scores on knowledge questions than comprehension and application questions. (Lecture Scores: knowledge > comprehension, application) Knowledge Comprehension Application M SD Lecture .760 .169 .878 .109 .919 .100 Demonstrations .678 .212 .698 .285 .808 .157 Discussions .820 .180 .621 .267 .856 .098 In-Class Activity .789 .163 .872 .142 .900 .088

15 Results/Discussion Hypothesis 1: Students taught by lecture will have higher scores on knowledge questions than comprehension and application questions. (Lecture Scores: knowledge > comprehension, application) Knowledge Comprehension Application M SD Lecture .760 .169 .878 .109 .919 .100 Demonstrations .678 .212 .698 .285 .808 .157 Discussions .820 .180 .621 .267 .856 .098 In-Class Activity .789 .163 .872 .142 .900 .088 Hypothesis 1 not supported by data.

16 Results/Discussion Contrary to initial beliefs about lecture, its scores for knowledge were the lowest out of all cognitive levels Knowledge level questions are generally based around memorization and a common complaint of lecture is that students do not maintain attention Knowledge Comprehension Application M SD Lecture .760 .169 .878 .109 .919 .100 Demonstrations .678 .212 .698 .285 .808 .157 Discussions .820 .180 .621 .267 .856 .098 In-Class Activity .789 .163 .872 .142 .900 .088 Data suggests lecture is very effective (at least for this subject, teacher, and class) Scores for lecture in all levels were 76% or above (very good!) Highest score in comprehension and application

17 Results/Discussion Hypothesis 2: Students taught by demonstrations will have higher scores on comprehension questions than knowledge and application questions. (Demonstrations Scores: comprehension > knowledge, application) Knowledge Comprehension Application M SD Lecture .760 .169 .878 .109 .919 .100 Demonstrations .678 .212 .698 .285 .808 .157 Discussions .820 .180 .621 .267 .856 .098 In-Class Activity .789 .163 .872 .142 .900 .088 Hypothesis 2 partially supported by data.

18 Results/Discussion This suggests that students may learn to apply material by watching others manipulate phenomena Knowledge Comprehension Application M SD Lecture .760 .169 .878 .109 .919 .100 Demonstrations .678 .212 .698 .285 .808 .157 Discussions .820 .180 .621 .267 .856 .098 In-Class Activity .789 .163 .872 .142 .900 .088

19 Results/Discussion Hypothesis 3: Students taught by discussions will have higher scores on comprehension questions than knowledge and application questions . (Discussion Scores: comprehension > knowledge, application) Knowledge Comprehension Application M SD Lecture .760 .169 .878 .109 .919 .100 Demonstrations .678 .212 .698 .285 .808 .157 Discussions .820 .180 .621 .267 .856 .098 In-Class Activity .789 .163 .872 .142 .900 .088 Hypothesis 3 not supported by data.

20 Results/Discussion Significantly lower results in comprehension than other levels Discussions could include incorrect information – even if corrected, being exposed to it may interfere with learning Knowledge Comprehension Application M SD Lecture .760 .169 .878 .109 .919 .100 Demonstrations .678 .212 .698 .285 .808 .157 Discussions .820 .180 .621 .267 .856 .098 In-Class Activity .789 .163 .872 .142 .900 .088 Repeatedly hearing vocabulary words may help increase memory for knowledge level learning

21 Results/Discussion Hypothesis 4: Students taught by in-class activities will have higher scores on comprehension and application questions than knowledge questions. (In-class Activity Scores: comprehension, application > knowledge) Knowledge Comprehension Application M SD Lecture .760 .169 .878 .109 .919 .100 Demonstrations .678 .212 .698 .285 .808 .157 Discussions .820 .180 .621 .267 .856 .098 In-Class Activity .789 .163 .872 .142 .900 .088 Hypothesis 4 supported by data.

22 Results/Discussion Hypothesis was correct, but knowledge level scores are still high Suggests that in-class activities may be most effective technique in general Knowledge Comprehension Application M SD Lecture .760 .169 .878 .109 .919 .100 Demonstrations .678 .212 .698 .285 .808 .157 Discussions .820 .180 .621 .267 .856 .098 In-Class Activity .789 .163 .872 .142 .900 .088

23 Results/Discussion Hypothesis 5: Students taught by in-class activities will have higher overall scores than students taught by lecture. (In-class Activity scores > Lecture scores) Overall score = percentage of correct answers in all categories Hypothesis 5 supported by data. Hackathorna, Jana, et al. "The Journal of Effective Teaching." JET (2011): 40.

24 Results/Discussion More evidence that in-class activities are the most effective technique Overall scores increase as the technique becomes more active However, previous data on individual level assessment suggests that each method has advantages and disadvantages Lecture has lowest overall score, but performed extremely well when measuring cognitive levels Hackathorna, Jana, et al. "The Journal of Effective Teaching." JET (2011): 40.

25 Study Limitations, Misc. Notes
Full content coverage is an issue with active teaching – instructors must consider how much time is spent learning what material Mixing in various teaching techniques can appeal to a wide range of learning styles The class was an upper level course so some students may have gone over material in previous classes 46% of the students took a course with the instructor previously – those students were more aware of his/her style of teaching Elective course Experimenter bias may have been present because the instructor was the experimenter


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