Generative AI-Based Tutoring for Enhancing Learning Engagement and Achievement

SESSION	CLASS	KOLMOGOROV-SMIRNOV^a
SESSION	CLASS	STATISTIC	df	SIG.
Session 1	AI	.415	18713	.000
Session 1	Non-AI	.448	19030	.000
Session 2	AI	.396	18713	.000
Session 2	Non-AI	.419	19030	.000
Session 3	AI	.385	18713	.000
Session 3	Non-AI	.421	19030	.000
Session 4	AI	.376	18713	.000
Session 4	Non-AI	.419	19030	.000
Session 5	AI	.376	18713	.000
Session 5	Non-AI	.419	19030	.000
Session 6	AI	.412	18713	.000
Session 6	Non-AI	.465	19030	.000
Session 7	AI	.398	18713	.000
Session 7	Non-AI	.445	19030	.000
Session 8	AI	.413	18713	.000
Session 8	Non-AI	.433	19030	.000
Total	AI	.253	18713	.000
Total	Non-AI	.296	19030	.000

[i] a. Grouping Variable: class.

Table 4

Significance test for the mean difference.

TEST STATISTICS^a	SESSION 1	SESSION 2	SESSION 3	SESSION 4	SESSION 5	SESSION 6	SESSION 7	SESSION 8	TOTAL
Mann-Whitney U	17585.00	16593.50	17245.50	18300.50	18340.00	18152.50	16863.00	17066.00	16494.50
Wilcoxon W	36113.00	35121.50	35773.50	36828.50	36868.00	36680.50	35391.00	35594.00	35022.50
Z	–1.28	–2.56	–1.70	–.38	–.32	–.56	–2.07	–1.74	–2.00
Asymp. Sig. (2-tailed)	.20	.01	.09	.71	.75	.56	.038	.081	.046

[i] a. Grouping Variable: class.

Table 5

Mean of students’ student assignment scores.

CLASS	ASSIGNMENT			TOTAL
CLASS	1	2	3	TOTAL
AI	72.734	66.75	66.67	206.155
Non-AI	72.269	65.40	65.22	202.885
Total	72.499	66.07	65.94	204.506

Table 6

Normality test for the assignment score data variance.

ASSIGNMENT	CLASS	KOLMOGOROV-SMIRNOV^a
ASSIGNMENT	CLASS	STATISTIC	df	SIG.
1	AI	.291	18713	.000
1	Non-AI	.319	19030	.000
2	AI	.291	18713	.000
2	Non-AI	.301	19030	.000
3	AI	.294	18713	.000
3	Non-AI	.305	19030	.000
Total	AI	.221	18713	.000
Total	Non-AI	.234	19030	.000

[i] a. Grouping Variable: class.

Table 7

Significance test for the mean difference (assignment).

TEST STATISTICS^a	ASSIGN 1	ASSIGN 2	ASSIGN 3	TOTAL
Mann-Whitney U	13934.000	16362.500	18521.500	15374.000
Wilcoxon W	32462.000	34890.500	37436.500	33902.000
Z	–4.322	–2.089	–.095	–2.974
Asymp. Sig. (2-tailed)	.000	.037	.924	.003

[i] a. Grouping Variable: class.

References

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Articles in this issue

DOI: https://doi.org/10.55982/openpraxis.17.2.902 | Journal eISSN: 2304-070X

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Language: English

Page range: 211 - 226

Submitted on: Apr 11, 2025

Accepted on: Jun 10, 2025

Published on: Jul 10, 2025

Published by: International Council for Open and Distance Education (ICDE)

In partnership with: Paradigm Publishing Services

Keywords:

generative AI tutoring,

AI instructions,

learning engagement,

learning achievement,

generative AI in education

© 2025 Tian Belawati, Dimas Prasetyo, published by International Council for Open and Distance Education (ICDE)
This work is licensed under the Creative Commons Attribution 4.0 License.

Volume 17 (2025): Issue 2