Drills Flashcards

(48 cards)

1
Q

Administered before and during instruction

A

Assessment FOR learning

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2
Q

Administered after instruction

A

Assessment OF learning

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3
Q

Formative assessment

A

Assessment for learning

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4
Q

Summative assessment

A

Assessment of learning

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5
Q

Paper and pencil test

A

Traditional

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6
Q

Portfolio / performance task

A

Alternative

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7
Q

Real-life

A

Authentic

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8
Q

Psychological effect; High expectation, high performance

A

Rosenthal / Pygmalion effect

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9
Q

Psychological effect; Escalating

A

Ripple effect

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10
Q

Psychological effect; Low expectation, poor performance

A

Golem effect

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11
Q

Psychological effect; General impression

A

Halo effect

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12
Q

Psychological effect; observation leads to good performance

A

Hawthorne effect

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13
Q

AFORL; To identify a student’s current knowledge and skill level to place them in the appropriate course level.

A

Placement Tests

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14
Q

AFORL; To measure a person’s potential to learn and develop skills in a specific area

A

Aptitude test

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15
Q

AFORL; To pinpoint a student’s strengths and weaknesses in a particular subject or skill.

A

Diagnostic test

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16
Q

AFORL; identify prior knowledge / predictive validity

A

Pretest

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17
Q

AFORL; mastery drills

A

Formative

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18
Q

Integral part of teaching and learning process

A

Assessment OF learning

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19
Q

Refers to consistency of result; split test/parallel test

A

Reliability

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20
Q

Measure what it intends to measure

21
Q

compare a student’s performance to other students

A

Norm referencing

22
Q

measure a student’s performance against a fixed standard or predetermined criteria

A

Criterion referencing

23
Q

A statistic that represents the single value of the entire population or a dataset.

A

Central tendency

24
Q

Easily affected by outliers; most stable or reliable; average

25
Middle most; 2nd quartile; most reliable if there are outliers or extreme scores
Median
26
Frequently appearing
Mode
27
3 measures of central tendency
Mean, median, mode
28
3 measures of variability/dispersion
Range, standard deviation, variance
29
Simplest/crude measure of variability; difference between the highest and lowest value
Range
30
Average amount of variability in datasets; how spread the scores are
Standard deviation
31
High standard deviation means ...
Scattered; spread; far; heterogeneous
32
Low standard deviation means ...
Clustered; bunched together; near; homogeneous
33
A measurement of how far each number in a data set is from the mean (average)
Variance
34
High variance means ...
More spread out
35
Low variance means ...
Close to the mean
36
indicate where a specific data point stands within a dataset compared to other points
Measure of relative position
37
divide a dataset into 100 equal parts, indicating the percentage of values below a given score.
Percentile
38
divide a dataset into four equal parts
Quartile
39
(also called standard scores) measure how many standard deviations a data point is away from the mean of a dataset.
Z score
40
divide a dataset into ten equal parts.
Decile
41
They range from 1 to 9, with 5 being the average, and stanines 1-3 generally considered below average, 4-6 as average, and 7-9 as above average
Stanine
42
Measures the asymmetry of a distribution (tail)
Skewness
43
Clustered to the left; tail/skewed to the right; low score
Positively skewed
44
Clustered to the right; tail/skewed to the left; high scores
Negatively skewed
45
measures the peakedness and tailedness of a distribution relative to a normal distribution
Kurtosis
46
Indicates a normal distribution, with the standard bell shape.
Kurtosis of 3 (mesokurtic)
47
Indicates less data in the tails, meaning fewer extreme values or outliers.
Low kurtosis (platykurtic)
48
Indicates more data in the tails, meaning more extreme values or outliers
High kurtosis (leptokurtic)