Are They Learning What (We Think) We’re Teaching? A. David Klappholz, Ph.D. (presenter) Stevens...

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Are They Learning What (We Think) We’re Teaching? A. David Klappholz, Ph.D. (presenter) Stevens Institute of Technology Steven J. Condly, Ph.D. (presenter) University of Central Florida Vicki L. Almstrum, Ph.D. University of Texas at Austin Peter Henderson, Ph.D. Butler University Presented at the 5th Annual WTST (Workshop on Teaching Software Testing) February 2-5, 2006 Florida Institute of Technology Melbourne, FL

Transcript of Are They Learning What (We Think) We’re Teaching? A. David Klappholz, Ph.D. (presenter) Stevens...

Page 1: Are They Learning What (We Think) We’re Teaching? A. David Klappholz, Ph.D. (presenter) Stevens Institute of Technology Steven J. Condly, Ph.D. (presenter)

Are They Learning What(We Think) We’re Teaching?

A. David Klappholz, Ph.D. (presenter)Stevens Institute of Technology

Steven J. Condly, Ph.D. (presenter)University of Central Florida

Vicki L. Almstrum, Ph.D.University of Texas at Austin

Peter Henderson, Ph.D.Butler University

Presented at the 5th Annual WTST (Workshop on Teaching Software Testing)

February 2-5, 2006Florida Institute of Technology

Melbourne, FL

Page 2: Are They Learning What (We Think) We’re Teaching? A. David Klappholz, Ph.D. (presenter) Stevens Institute of Technology Steven J. Condly, Ph.D. (presenter)

Discrete Math in CS/SE/IS

Dijkstra, Hoare, Knuth, Parnas, etc. stress its importance – including logicMany (most?) CS/SE/IS faculty agreeDM is included in CC2001 IS2002SE2004

Page 3: Are They Learning What (We Think) We’re Teaching? A. David Klappholz, Ph.D. (presenter) Stevens Institute of Technology Steven J. Condly, Ph.D. (presenter)

ButFaculty do not agree on DM topics, sequencing, or integration with CS/SE/IS topics

Students don’t “get” DM’s relevance (to further studies or career)

Robert Glass says DM is irrelevant for CS/SE/IS majors going into industry (it certainly is relevant for those going into research careers…hmm…)

Does the typical CS/SE/IS student master DM? (Instructors in upper-level courses often think not)

Some say CS/SE/IS curricula are being “dumbed down” math-wise

Page 4: Are They Learning What (We Think) We’re Teaching? A. David Klappholz, Ph.D. (presenter) Stevens Institute of Technology Steven J. Condly, Ph.D. (presenter)

Questions1. How are students’ attitudes toward DM affected by (i)

choice of topics, (ii) sequencing (& (iii) integration) of DM with Introductory CS/SE/IS?

2. How is students’ learning of DM affected by their attitude toward DM?

3. How do (i) choice of topics, (ii) sequencing, and (iii) integration affect performance in development of CS/SE/IS skills? (transfer?...assuming relevance.)

4. How do answers to 1-3 affect• Overall retention• Retention of women & under-represented minorities

Page 5: Are They Learning What (We Think) We’re Teaching? A. David Klappholz, Ph.D. (presenter) Stevens Institute of Technology Steven J. Condly, Ph.D. (presenter)

Questions (cont.)

Q1. How to study these issues?

Q2. Have such issues been studied before? In other STEM fields?

A. Hestenes’ work on Introductory Physics

Page 6: Are They Learning What (We Think) We’re Teaching? A. David Klappholz, Ph.D. (presenter) Stevens Institute of Technology Steven J. Condly, Ph.D. (presenter)

The Force Concept Inventory

David Hestenes (physicist, ASU, ca. 1990): Do Intro (HS/College) physics students learn Newtonian Mechanics?

Hestenes didn’t think so!

How to prove it, especially to other physics faculty?

Page 7: Are They Learning What (We Think) We’re Teaching? A. David Klappholz, Ph.D. (presenter) Stevens Institute of Technology Steven J. Condly, Ph.D. (presenter)

FCI (cont.)

Devise a survey instrument: Force Concept Inventory

Cover basic Intro Physics topics Multiple-choice (4 choices)

one right answer three answers corresponding to common

misconceptions

Page 8: Are They Learning What (We Think) We’re Teaching? A. David Klappholz, Ph.D. (presenter) Stevens Institute of Technology Steven J. Condly, Ph.D. (presenter)

FCI (cont.)

HS and college faculty didn’t believe Hestenes

Were ultimately convinced after administering FCI to tens of thousands of students

Changed (improved) Intro Physics instruction radically

Page 9: Are They Learning What (We Think) We’re Teaching? A. David Klappholz, Ph.D. (presenter) Stevens Institute of Technology Steven J. Condly, Ph.D. (presenter)

22. A golf ball driven down a fairway is observed to travel through the air with a trajectory(flight path) similar to that depicted below.

Which of the following force(s) is(are) acting on the golf ball while it is in flight?

1. the force of gravity2. the force of the "hit"3. the force of air resistance

(A) 1 only (D) 1 and 3(B) 1 and 2 (E) 2 and 3(C) 1, 2, and 3

Page 10: Are They Learning What (We Think) We’re Teaching? A. David Klappholz, Ph.D. (presenter) Stevens Institute of Technology Steven J. Condly, Ph.D. (presenter)

22. A golf ball driven down a fairway is observed to travel through the air with a trajectory(flight path) similar to that depicted below.

Which of the following force(s) is(are) acting on the golf ball while it is in flight?

1. the force of gravity2. the force of the "hit"3. the force of air resistance

(A) 1 only (D) 1 and 3(B) 1 and 2 (E) 2 and 3(C) 1, 2, and 3

= medieval concept of “impetus”“Container metaphor” “go power”}

Missed by 42% of junior & senior science majorsin a physics class at Harvard (1991)

Page 11: Are They Learning What (We Think) We’re Teaching? A. David Klappholz, Ph.D. (presenter) Stevens Institute of Technology Steven J. Condly, Ph.D. (presenter)

Refer to the following statement and diagram while answering the next two questions

A large truck breaks down out on the road and receives a push back into town by a small

compact car.

13. While the car, still pushing the truck, is speeding up to get up to cruising speed

(A) the force by the car pushing against the truck is equal in amount to that of the truckpushing back against the car.

(B) the force by the car pushing against the truck is less than that of the truck pushing backagainst the car.

(C) the force by the car pushing against the truck is greater than that of the truck pushingback against the car.

(D) the car's engine is running so it applies a force as it pushes against the truck but thetruck's engine isn't running so it can't push back with a force against the car.

(E) neither the car nor the truck exert any force on the other, the truck is pushed forwardsimply because it is in the way of the car.

Page 12: Are They Learning What (We Think) We’re Teaching? A. David Klappholz, Ph.D. (presenter) Stevens Institute of Technology Steven J. Condly, Ph.D. (presenter)

Refer to the following statement and diagram while answering the next two questions

A large truck breaks down out on the road and receives a push back into town by a small

compact car.

13. While the car, still pushing the truck, is speeding up to get up to cruising speed

(A) the force by the car pushing against the truck is equal in amount to that of the truckpushing back against the car.

(B) the force by the car pushing against the truck is less than that of the truck pushing backagainst the car.

(C) the force by the car pushing against the truck is greater than that of the truck pushingback against the car.

(D) the car's engine is running so it applies a force as it pushes against the truck but thetruck's engine isn't running so it can't push back with a force against the car.

(E) neither the car nor the truck exert any force on the other, the truck is pushed forwardsimply because it is in the way of the car.

“Conflict (or war) metaphor” & “dominance principle”

20% ofphysicsgraduatestudents

The most active agents produce the greatest forceOnly active agents exert forces

Obstacles exert no force

Page 13: Are They Learning What (We Think) We’re Teaching? A. David Klappholz, Ph.D. (presenter) Stevens Institute of Technology Steven J. Condly, Ph.D. (presenter)

12. A book is at rest on a table top. Which of the following force(s) is (are)acting on the book?

1. A downward force due to gravity.2. The upward force by the table.3. A net downward force due to air pressure.4. A net upward force due to air pressure.

(A) 1 only(B) 1 and 2(C) 1, 2, and 3(D) 1, 2, and 4(E) none of these; since the book is at rest there are no forces acting on it.

Page 14: Are They Learning What (We Think) We’re Teaching? A. David Klappholz, Ph.D. (presenter) Stevens Institute of Technology Steven J. Condly, Ph.D. (presenter)

12. A book is at rest on a table top. Which of the following force(s) is (are)acting on the book?

1. A downward force due to gravity.2. The upward force by the table.3. A net downward force due to air pressure.4. A net upward force due to air pressure.

(A) 1 only(B) 1 and 2(C) 1, 2, and 3(D) 1, 2, and 4(E) none of these; since the book is at rest there are no forces acting on it.

– No “passive forces” – book just gets in the way!What the answers tell us:

_ – “under pressure” _ – “bouyancy” – correct answer

Most informative – Force requires an active agent!

“Force is Action” metaphorvs. Newtonian “universality of force”

as the only causal mechanism!

Discriminating power of the FCI – from saliency of its distractors

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CI’s in General (from Wikipedia)

A multiple choice instrument designed to evaluate whether a person has an accurate and working knowledge of a specific set of concepts. Concept inventories are built in a multiple choice format to insure that they can be scored in an objective manner. Unlike a typical multiple choice test, however, both the question and the response choices are the subject of extensive research designed to determine both what a range of people thinks a particular question is asking and what the most common answers are. In its final form, the concept question is presented [with] both a correct answer as well as distracters, that is, incorrect answers based on commonly held misconceptions.

Page 16: Are They Learning What (We Think) We’re Teaching? A. David Klappholz, Ph.D. (presenter) Stevens Institute of Technology Steven J. Condly, Ph.D. (presenter)

CI’s in STEM FieldsHave been developed in

Astronomy, Chemistry, Geosciences, Dynamics, Electromagnetics, Systems and Signals, Statistics, …

At least one STEM CI attempts to get at higher levels of Bloom taxonomy

None yet in CS/SE/IS

Could serve for ABET’s continuous quantitative self-assessment, not just to answer questions listed above

Page 17: Are They Learning What (We Think) We’re Teaching? A. David Klappholz, Ph.D. (presenter) Stevens Institute of Technology Steven J. Condly, Ph.D. (presenter)

DevelopingConcept Inventories

Creating a taxonomy Develop a list of concepts for the topic (DM) Validate for acceptance by general community

conferences: SIGCSE , CSEE&T, ITiCSE, ICER, ICSE, ASEE, FIE mailing lists: various

Required background of participating faculty: Have taught the topic many times Have graded their own HWs and exams (so they know common

misconceptions for designing good distracters)

Participation of a psychologist is crucialAnalyze to determine degree of clusterIterate: revise and refine

Page 18: Are They Learning What (We Think) We’re Teaching? A. David Klappholz, Ph.D. (presenter) Stevens Institute of Technology Steven J. Condly, Ph.D. (presenter)

“Views About” Surveys(from: Field-Tested Assessment Guide

for STEM instructors )

The Views About Science Survey (VASS) surveys student views about knowing and learning science assesses the relation of these views to student understanding of science and

course achievement (Grades 8-16)

Probes student views based on scientific and cognitive dimensions: Three scientific dimensions pertain to the structure and validity of scientific

knowledge, and to scientific methodology Three cognitive dimensions pertain to learnability of science, reflective thinking,

and personal relevance of science

In each VASS item respondents are asked to balance two contrasting alternatives on a five-point

scale called “contrasting alternative design” to assess variability in student views in different disciplines, parallel forms of

VASS for physics, chemistry, biology, general science, and mathematics

Page 19: Are They Learning What (We Think) We’re Teaching? A. David Klappholz, Ph.D. (presenter) Stevens Institute of Technology Steven J. Condly, Ph.D. (presenter)

DevelopingViews About Surveys

Far easier than developing CIs: Base new VA on VASS (Halloun’s Views About Science

Survey) No right/wrong responses “What do you think.” “What’s your perception.” “How do

you feel about….”

Perform confirmatory factor analysis

Compute Cronbach’s alpha

Revise and refine

Page 20: Are They Learning What (We Think) We’re Teaching? A. David Klappholz, Ph.D. (presenter) Stevens Institute of Technology Steven J. Condly, Ph.D. (presenter)

A CAD Item in VASS Form P11

The first thing I do when solving a physics problem is:

(a) represent the situation with sketches and drawings.

(b) search for formulas that relate givens to unknowns.Answer Options

1 Only (a), Never (b); 2 Mostly (a), Rarely (b); 3 More (a) Than (b); 4 Equally (a) & (b); 5 More (b) Than (a); 6 Mostly (b), Rarely (a); 7 Only (b), Never (a); 8 Neither (a) Nor (b)

Page 21: Are They Learning What (We Think) We’re Teaching? A. David Klappholz, Ph.D. (presenter) Stevens Institute of Technology Steven J. Condly, Ph.D. (presenter)

Sample VASS Item Learning physics requires:

(a). serious effort.(b). a special talent.

What would each one of the five choices mean?

1. Mostly (a), rarely (b): Learning physics requires mostly a serious effort and rarely a special talent (or mainly the former and hardly ever the latter).

2. More (a) than (b): Learning physics requires more a serious effort than a special talent.

3. Equally (a) & (b): Learning physics requires as much a serious effort as a special talent.

4. More (b) than (a): Learning physics requires more a special talent than a serious effort.

5. Mostly (b), rarely (a): Learning physics requires mostly a special talent and rarely a serious effort (or mainly the former and hardly ever the latter).

Page 22: Are They Learning What (We Think) We’re Teaching? A. David Klappholz, Ph.D. (presenter) Stevens Institute of Technology Steven J. Condly, Ph.D. (presenter)

VASS StructureScientific Dimensions1 . Structure. Science is a coherent body of knowledge about patterns

in nature revealed by careful investigation–– rather than a loose collection of directly perceived facts.2 . Methodology. The methods of science are systematic and generic–– rather than idiosyncratic and situation specific.Mathematics is a tool used by scientists for describing and analyzing

ideas–– rather than a source of factual knowledge.Mathematical modeling for problem solving involves more–– than selecting mathematical formulas for number crunching.3 . Validity. Scientific knowledge is approximate, tentative, and

refutable–– rather than exact, absolute and final.

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VASS StructureCognitive Dimensions4 . Learnability. Science is learnable by anyone willing to make the effort–– not just by a few talented people.Achievement depends more on personal effort–– than on the influence of teacher or textbook.5 . Reflective thinking. For meaningful understanding of science, one needs to:(a) concentrate more on the systematic use of principles–– than on memorizing facts;(b) examine situations in many ways–– instead of following a single approach from an authoritative source;(c) look for discrepancies in one’s own knowledge–– instead of just accumulating new information;(d) reconstruct new subject knowledge in one’s own way–– instead of memorizing it as given.6 . Personal relevance. Science is relevant to everyone’s life;–– it is not of exclusive concern to scientists.Science should be studied more for personal benefit–– than for fulfilling curriculum requirements.

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Work in Progress (funded)

Develop DMCI and VADM Research group: Klappholz (CS/SE), Henderson

(CS/SE), Almstrum (CS/SE/Computing Education), Condly (Educational Psychology)

Four Advisory Board members, including one who developed a CI in another field

Three additional DM Subject Matter Experts (Almstrum and Henderson have recently taught and graded DM)

Begin studies to investigate questions Choice of topics, sequencing and integration Contribution of DM to desired CS/SE/IS skills

Page 25: Are They Learning What (We Think) We’re Teaching? A. David Klappholz, Ph.D. (presenter) Stevens Institute of Technology Steven J. Condly, Ph.D. (presenter)

Ideas for DMCI Questions (courtesy of Peter Henderson)

Basic Set Notation This question deals with understanding basic set notation, associated concepts and the empty set.

Let S be any well defined set and { } be the set containing no elements. Which of the following statements is always true?

{ } S { } ⊆ S { } ⊂ S { } = { { } }

Page 26: Are They Learning What (We Think) We’re Teaching? A. David Klappholz, Ph.D. (presenter) Stevens Institute of Technology Steven J. Condly, Ph.D. (presenter)

Ideas for DMCI Questions (cont.)

Comment: An open book, open notes final for a Foundations of Computing II

course included a similar question where students could select more than one answer

Of the 11 students in the class 2 gave the right answer, (b) only For the incorrect answers

7 of 11 selected (a) 6 of 11 selected (c) 1 of 11 selected (d)

These results demonstrate misconceptions That students were rusty was not surprising since sets were

covered in the prerequisite course Foundations of Computing I.

Page 27: Are They Learning What (We Think) We’re Teaching? A. David Klappholz, Ph.D. (presenter) Stevens Institute of Technology Steven J. Condly, Ph.D. (presenter)

Sample DMCI Questions (cont.)

Logical Implication Students often struggle with the meaning of logical implication.

A teacher said to a student, “If you receive an A on the final exam, then you will pass the course.” The student did not pass the course. Which of the following conclusions are valid?

A. The student received an A on the final exam.

B. The student did not receive an A on the final exam.

C. The student flunked the final exam.

D. If the student passed the course, then he or she received an A on the final exam.

E. None of these conclusions is valid.

Page 28: Are They Learning What (We Think) We’re Teaching? A. David Klappholz, Ph.D. (presenter) Stevens Institute of Technology Steven J. Condly, Ph.D. (presenter)

Future Work

Develop instruments to study early core CS/SE/IS topic areas (see CC 2001):

three or more CIs for Algorithmic thinking (AT) Programming fundamentals (PF) Computing environment (CE)

Three or more VA’sA series of larger research studies, using the full suite of CI and VA instruments (i.e. for DM, AT, PF, and CE)