Engineering Education & Engineering Education Research XIONG ChinMin, Prof. PhD Invited Talk @FAFU....
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- Engineering Education & Engineering Education Research
XIONG ChinMin, Prof. PhD Invited Talk @FAFU. April 29, 2014
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- 2 Outlines 1.Background 2.Engineering Education 3.Engineering
Education Research 4.An Example 5.Q&A
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- 3 1. Background Professors duty: Create knowledge Educate
student Doing research & Teaching at same time?? engineering
education Research Who am i ?
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- 4 Educational Research in 2010-14 SSCI Chin-Min Hsiung. (2010).
Identification of Dysfunctional Cooperative Learning Teams Based on
Students Academic Achievement. Journal of Engineering Education,
99(1), 45-54. (SSCI, Rank=9/184, IF=2.219 in 2010) Chin-Min Hsiung.
(2011). Identification of dysfunctional cooperative learning teams
using Taguchi quality indexes. Educational Technology &
Society, 14(3), 152-162. (SSCI, Rank=58/206, IF=1.011 in 2011)
Chin-Min Hsiung. (2012). The Effectiveness of Cooperative Learning.
Journal of Engineering Education, 101(1), 119-137. (SSCI,
Rank=16/216, IF=1.925 in 2012) Chin-Min Hsiung, Shi-Jer Lou,
Chi-Chang Lin, and Pei-Ling Wang. (2013). Identification of
dysfunctional cooperative learning teams and troubled individuals.
British Journal of Educational Technology. (In press). (SSCI,
Rank=37/216, IF=1.313 in 2012) Chin-Min Hsiung, L. F. Luo, and H.
C. Chung. (2014). Early Identification of Ineffective Cooperative
Learning Teams. Journal of Computer Assisted Learning. (in Press).
(SSCI, Rank=20/216, IF=1.632 in 2012) SCI. EI Chin-Min Hsiung.
(2010). An experimental investigation into the efficiency of
cooperative learning with consideration of multiple grouping
criteria. European Journal of Engineering Education, 35(6),
679-692. (EI in 2010 ) Chin-Min Hsiung. (2011). Empirical
investigation into the ability-condition interaction effect of
cooperative learning. International Journal of Engineering
Education, 27(2), 303-309. (SCI)
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- 5 2014-- A quantitative approach to assessing team functioning
in cooperative learning environments (in review) Enhancing
engineering students cooperative learning performance further (in
review) Enhancing technical paper reading comprehension using
cooperative learning approach (????)
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- 6 . 2013. I-V ( I394964) . 2013. I-V ( I394965) . 2013. I-V (
I415203) . 2013. I-V ( I414033) Chin-Min Hsiung. (2012). A
generalized Norde plot for reverse biased Schottky contacts.
International Journal of Minerals, Metallurgy and Materials, 19(1),
54-58. (SCI)
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- 7 2. Engineering Education current situations Students are not
well prepared 6 million & 100% Multiple intelligences (Gardner,
1983) Teachers are not well prepared Teacher-centered vs.
Student-centered
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- 8 Teacher-centered Learning Rote-learning Care only about
grades Passive & No passion
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- 9 Blooms Taxonomy Remember Understand Apply Analyze Evaluate
Create
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- 10 Student-centered Learning Tell me and I forget. Teach me and
I remember. Involve me and I learn. Benjamin Franklin
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- 11 Student-centered approach Active learning Peer-instruction
Inquiry-based learning Problem-based learning Cooperative
learning
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- 12 Problem-based learning encourages students to pose
questions, propose hypotheses, make predictions, use tools to
gather and analyze data, generate inferences in light of empirical
evidence, construct arguments, communicate their findings, use a
broad array of reasoning strategies that involve critical,
creative, causal, and logical thinking
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- 13 Cooperative learning Theory based Social cognitive theory,
Social constructivist theory, Social interdependence theory
Evidence supported Model guided
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- 14 Cooperative learning Evidence supported higher achievement
greater long-term retention of what is learned more frequent use of
higher-level reasoning (critical thinking) and meta-cognitive
thought more accurate and creative problem solving more willingness
to take on difficult tasks and persist (despite difficulties) in
working toward goal accomplishment more intrinsic motivation
transfer of learning from one situation to another greater time on
task
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- 15 Cooperative learning Model guided (Johnson, Johnson &
Smith)
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- 16 Education Research?? Less competition Less resources needed
Fertile ground
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- 17 How? I am around A team at FAFU? Aim high
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- 4. An Example:
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- 19 19
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- 20 I. Identifying dysfunctional teams Important Research
Question Often occurred in practice Few studied Novel schemes
needed 20
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- 21 1.A Computer-aided Assessment Tool Academic performance*
Taguchi quality index** Mean & variance Mahalanobis distance
metric*** Correlated data * JEE, 2010 Identification of
Dysfunctional Cooperative Learning Teams Based on Students Academic
Achievement ** ETS, 2011 Identification of dysfunctional
cooperative learning teams using Taguchi quality indexes ***BJET,
2013 Identification of dysfunctional cooperative learning teams and
troubled individuals 21
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- 22 1.B Larger-the-Better problem Positive & large Academic
performance Positive & large SN= -10 log(1/y i 2 /n) 22
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- 23 1.C : Correlated data 23
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- 24 MD: Mahalanobis distance MD = (X-M) T A -1 (X-M)/k, X status
vector of an unknown group M mean of the reference group A
covariance of the reference group k number of variables 24
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- 25 II. Find reference group using SN Calculate A & M of the
reference group Compute and Compare MD of the unknown teams 25
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- 26 III. 7 Trials 4 homework tests 4 unit tests 26
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- 27 Reference & unknown groups Trial 1 Group 1 1 1 SN 1 SN
Mean (SN) MD HighMediumLow HighMediumLow O 959985 957172 39.3137.76
38.542.40 F 858479 687752 38.2935.99 37.140.17 A 848581 655948
38.4134.96 36.690.34 G 857383 627546 37.9935.18 36.590.07 I 779377
476451 38.1934.43 36.310.59 M 867753 658245 36.5335.33 35.930.60 H
818944 637356 35.7335.97 35.852.04 N 877470 645043 37.6334.03
35.830.79 B 828893 702873 38.8332.55 35.694.53 P 939867 477434
38.2933.01 35.652.80 C 838081 834434 38.1932.93 35.562.88 K 658883
344872 37.6633.03 35.352.33 D 839167 745429 37.8432.43 35.143.75 J
928486 662735 38.7830.94 34.869.62 L 736881 442632 37.2930.04
33.6711.39 E 948346 493012 36.0825.49 30.7937.73 27
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- 28 MDs of unknown group 28
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- 29 Verification 29
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- 30 Dysfunctional teams in 7 Trials Team Trial 1 2 3 4 5 6 7 M C
D N P J L E : : X-Y 30
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- 31 IV. Proposed a Computer-aided assessment tool Quantified
quality using Taguchi SN Identified dysfunctional teams using MD
metric Verified via field experiments 31
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- 32 Engineering & Educational Research William the Conqueror
--1066
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- 33 5. Q&A
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- 34 Thank you for your attention C.M. Hsiung 2014/04/29 @
34
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- 35 Research at FAFU Scientific Creativity Develop a Tool
Compare cross- culturally Develop an instructional method Examine
peer- influence Problem Finding Develop a Tool Compare cross-
culturally Develop an instructional method Examine peer-
influence