JSalsman: eliminate redirect

2010-03-02T22:18:04Z

eliminate redirect

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	Adapted and annotated from figures in del Soldato, T. & du Boulay, B. (1995) "Implementation of Motivational Tactics in Tutoring Systems," ''Journal of Artificial Intelligence in Education,'' '''6'''(4): 337-78:		Adapted and annotated from figures in del Soldato, T. & du Boulay, B. (1995) "Implementation of Motivational Tactics in Tutoring Systems," ''Journal of Artificial Intelligence in Education,'' '''6'''(4): 337-78:

JSalsman: backlink

2010-02-12T01:11:15Z

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← Older revision		Revision as of 01:11, 12 February 2010
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			; for [[gift-syntax\|GIFT]] quizes

	Adapted and annotated from figures in del Soldato, T. & du Boulay, B. (1995) "Implementation of Motivational Tactics in Tutoring Systems," ''Journal of Artificial Intelligence in Education,'' '''6'''(4): 337-78:		Adapted and annotated from figures in del Soldato, T. & du Boulay, B. (1995) "Implementation of Motivational Tactics in Tutoring Systems," ''Journal of Artificial Intelligence in Education,'' '''6'''(4): 337-78:

JSalsman: archive.org is too slow

2010-02-12T01:00:50Z

archive.org is too slow

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Adapted and annotated from figures in del Soldato, T. & du Boulay, B. (1995) "Implementation of Motivational Tactics in Tutoring Systems," ''Journal of Artificial Intelligence in Education,'' '''6'''(4): 337-78:

<pre>
# perfomance modeling - t6p355rP1-2

Rule P1 -- perfomance model successful:
if agreements/completed > perf-threshold
then perf-value = successful
Rule P2 -- perfomance model unsuccessful:
if agreements/completed <= perf-threshold
then perf-value = unsuccessful

# repitition testing - t6p355rP3-4

Rule P3 -- path model lost:
if tries > step-repition-limit (from problem type)
then path-state = lost
Rule P4 -- path model OK:
if tries <= step-repition-limit (from problem type)
then path-state = OK

# confidence modeling - t7p356rC1-2

Rule C1:
if answer was low-confidence (either agree or disagree)
then decrement conf-value
Rule C2:
if answer was high-confidence (either agree or disagree)
then increment conf-value

Rule C3 -- decrease modeled confidence on help request:
if answer was help request
then decrement conf-value

Rule C4:
if problem-state = succeeded
and without help
then increment conf-value by large-conf-inc
Rule C5:
if problem-state = succeeded
and with help
then increment conf-value
Rule C6:
if problem-state = failed
and without help
then decrement conf-value
Rule C7:
if problem-state = failed
and with help
then decrement conf-value by large-conf-dec

# effort modeling - t8p357 (non-rule)

if path-state = lost
then effort-value = "medium" + 1
if problem-state = succeeded
then effort-value += 2
if help was asked for
then effort-value += 1

# independence modelling - t9p358rI1-I4

Rule I1:
if help-state = suggesting
then decrement indep-value

Rule I2:
if help-state = providing
and detail = general
then decrement indep-value

Rule I3:
if help-state = providing
and detail = specific
then decrement indep-value by large-indep-dec

Rule I4:
if help-state = rejected
then increment indep-value by large-indep-inc

# domain-based planner rules - t10p359rD1-D7

Rule D1:
if problem-state = succeeded
then provide right assessment; suggest harder problem
Rule D2:
if problem-state = failed
then provide wrong assessment; suggest same-diff problem
Rule D3:
if problem-state = given-up
then suggest same-diff problem
Rule D4:
if problem-state = rejected
then suggest same-diff problem

Rule D5:
if help-state = requested
then provide help
Rule D6:
if help-state = rejected
then help not-needed

Rule D7:
if path-state = lost
then provide help

# motivational planner rules - t11p360rM1-M20

Rule M1:
if conf-value < conf-threshold
then increase confidence # when and how is this reset?
Rule M2:
if effort-value < "medium"
then increase effort
Rule M3:
if effort-value > "medium"
then maintain effort
Rule M4:
if help-state = rejected
then respect control
Rule M5:
if problem-state = given-up # "above give-up-lim"
then respect control
Rule M6:
if indep-value < indep-threshold
and not increase confidence
then increase control
Rule M7:
if problem-state = succeeded
and increase confidence
then increase experience success
Rule M8:
if problem-state = failed
and increase confidence
then facilitate success
Rule M9:
if problem-state = given-up
and increase effort (M2)
and not increase confidence
and not respect control
then encourage effort
Rule M10:
if problem-state = given-up
and increase confidence
and not respect control
then facilitate success
Rule M11:
if problem-state = succeeded
and increase effort
then stimulate challenge
Rule M12:
if stimulate challence (M11)
and increase confidence (M1)
then emphasise promotion
Rule M13:
if problem-state = failed
and increase effort
and not increase confidence
then stimulate curiosity
Rule M14:
if perf-value = successful
and facilitate success
and increase effort
then remind success
Rule M15:
if path-state = lost
and increase control
then avoid intervention
Rule M16:
if help-state = requested
and increase control
then encourage independence
Rule M17:
if encourage independence
then avoid intervention
Rule M18:
if help-state = rejected
and help-skip-next = no (needs to be fitted to "skip next help" or whatever)
and respect control
then avoid next intervention
Rule M19:
if help-state != rejected
and help-skip-next = yes (ditto)
then avoid intervention
Rule M20:
if help-state != requested
and not increase confidence
and not stimulate curiosity
then share control

# negotiated actions - t12p363-rN1-N7

Rule N1
action: suggest harder problem
tactics: increase success; not stimulate challenge
negotiated: suggest problem, similar difficulty

Rule N2
action: suggest harder problem
tactic: stimulate challenge; not increase confidence
negotiated: suggest much-harder problem

Rule N3
action: suggest harder problem
tactic: emphasise promotion
negotiated: suggest harder problem; provide level-promotion comment

Rule N4
action: provide wrong assessment; suggest same-diff problem
tactic: emphasize promotion
negotiated: suggest harder problem; provide level-promotion comment

Rule N5 -- requires suprise result
action: provide wrong assessment
tactic: stimulate curiosity (M13)
negotiated: provide suprise result help

Rule N6
action: provide right assessment
tactic: maintain effort
negotiated: provide right assessment; provide praise performance comment

Rule N7
action: provide wrong assessment
tactic: maintain effort
negotiated: provide wrong assessment; provide praise performance comment

# negotiated actions (cont) - t12p364rN8-N15

Rule N8
action: suggest problem; not provide assessment
tactic: facilitate success; not respect control
negotiated: provide help

Rule N9
action: suggest problem; not provide assessment
tactic: encourage effort
negotiated: provide trying-harder comment; suggest help

Rule N10
action: ---
tactic: remind successes
negotiated: provide previous-successes comment

Rule N11
action: provide help
tactic: avoid intervention
negotiated: skip help

Rule N12
action: ---
tactic: encourage independence
negotiated: provide encourage-indep comment

Rule N13
action: provide general help
tactic: increase confidence
negotiated: provide specific help

Rule N14
action: provide help
tactic: share control
negotiated: suggest help

Rule N15
action: help not-needed
tactic: avoid next intervention
negotiated: skip next-help
</pre>

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