Evaluating the Effectiveness of Online, In-Person, and Hybrid Learning: A Case Study of Engineering Disciplines at a Chinese Technical University
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| Title: | Evaluating the Effectiveness of Online, In-Person, and Hybrid Learning: A Case Study of Engineering Disciplines at a Chinese Technical University |
|---|---|
| Language: | English |
| Authors: | Lingyan Guo, Margarita Lagutkina, Larisa Mamedova |
| Source: | International Review of Research in Open and Distributed Learning. 2026 27(1):1-17. |
| Availability: | Athabasca University Press. 1200, 10011-109 Street, Edmonton, AB T5J 3S8, Canada. Tel: 780-497-3412; Fax: 780-421-3298; e-mail: irrodl@athabascau.ca; Web site: http://www.irrodl.org |
| Peer Reviewed: | Y |
| Page Count: | 17 |
| Publication Date: | 2026 |
| Document Type: | Journal Articles Reports - Research |
| Education Level: | Higher Education Postsecondary Education |
| Descriptors: | Foreign Countries, Program Effectiveness, Online Courses, In Person Learning, Blended Learning, Engineering Education, Undergraduate Students, Programming, Mathematics Education, Science Education |
| Geographic Terms: | China |
| ISSN: | 1492-3831 |
| Abstract: | The effectiveness of technical education may vary depending on the delivery method. This study compared the effects of online, face-to-face (F2F), and hybrid learning on engineering students' academic performance. The study involved 450 second-year students pursuing an engineering degree at a technical university in China. The pre-test and post-test scores for the five core academic subjects (i.e., computer programming, further mathematics, physics, electrical engineering, and analytical mechanics) revealed a statistically significant improvement in academic performance across all subjects after use of hybrid learning (p < 0.000). The average gains were 3.46 points in computer programming, 4.07 points in further mathematics, 3.24 points in physics, 2.5 points in electrical engineering, and 3.06 points in analytical mechanics. The online and F2F delivery groups exhibited a statistically significant improvement with respect to scores for electrical engineering (p < 0.000) and physics (p < 0.002) only. The one-way ANOVA and Scheffe's test results revealed that the hybrid model had the strongest learning effects compared to online and F2F. A SWOT analysis helped to further explore students' perceptions of the three delivery formats. The present findings, which highlighted the effectiveness of hybrid learning, can be helpful in creating adaptive learning programs for engineering students. |
| Abstractor: | As Provided |
| Entry Date: | 2026 |
| Accession Number: | EJ1501206 |
| Database: | ERIC |
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| Items | – Name: Title Label: Title Group: Ti Data: Evaluating the Effectiveness of Online, In-Person, and Hybrid Learning: A Case Study of Engineering Disciplines at a Chinese Technical University – Name: Language Label: Language Group: Lang Data: English – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Lingyan+Guo%22">Lingyan Guo</searchLink><br /><searchLink fieldCode="AR" term="%22Margarita+Lagutkina%22">Margarita Lagutkina</searchLink><br /><searchLink fieldCode="AR" term="%22Larisa+Mamedova%22">Larisa Mamedova</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="SO" term="%22International+Review+of+Research+in+Open+and+Distributed+Learning%22"><i>International Review of Research in Open and Distributed Learning</i></searchLink>. 2026 27(1):1-17. – Name: Avail Label: Availability Group: Avail Data: Athabasca University Press. 1200, 10011-109 Street, Edmonton, AB T5J 3S8, Canada. Tel: 780-497-3412; Fax: 780-421-3298; e-mail: irrodl@athabascau.ca; Web site: http://www.irrodl.org – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: Y – Name: Pages Label: Page Count Group: Src Data: 17 – Name: DatePubCY Label: Publication Date Group: Date Data: 2026 – Name: TypeDocument Label: Document Type Group: TypDoc Data: Journal Articles<br />Reports - Research – Name: Audience Label: Education Level Group: Audnce Data: <searchLink fieldCode="EL" term="%22Higher+Education%22">Higher Education</searchLink><br /><searchLink fieldCode="EL" term="%22Postsecondary+Education%22">Postsecondary Education</searchLink> – Name: Subject Label: Descriptors Group: Su Data: <searchLink fieldCode="DE" term="%22Foreign+Countries%22">Foreign Countries</searchLink><br /><searchLink fieldCode="DE" term="%22Program+Effectiveness%22">Program Effectiveness</searchLink><br /><searchLink fieldCode="DE" term="%22Online+Courses%22">Online Courses</searchLink><br /><searchLink fieldCode="DE" term="%22In+Person+Learning%22">In Person Learning</searchLink><br /><searchLink fieldCode="DE" term="%22Blended+Learning%22">Blended Learning</searchLink><br /><searchLink fieldCode="DE" term="%22Engineering+Education%22">Engineering Education</searchLink><br /><searchLink fieldCode="DE" term="%22Undergraduate+Students%22">Undergraduate Students</searchLink><br /><searchLink fieldCode="DE" term="%22Programming%22">Programming</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematics+Education%22">Mathematics Education</searchLink><br /><searchLink fieldCode="DE" term="%22Science+Education%22">Science Education</searchLink> – Name: Subject Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22China%22">China</searchLink> – Name: ISSN Label: ISSN Group: ISSN Data: 1492-3831 – Name: Abstract Label: Abstract Group: Ab Data: The effectiveness of technical education may vary depending on the delivery method. This study compared the effects of online, face-to-face (F2F), and hybrid learning on engineering students' academic performance. The study involved 450 second-year students pursuing an engineering degree at a technical university in China. The pre-test and post-test scores for the five core academic subjects (i.e., computer programming, further mathematics, physics, electrical engineering, and analytical mechanics) revealed a statistically significant improvement in academic performance across all subjects after use of hybrid learning (p < 0.000). The average gains were 3.46 points in computer programming, 4.07 points in further mathematics, 3.24 points in physics, 2.5 points in electrical engineering, and 3.06 points in analytical mechanics. The online and F2F delivery groups exhibited a statistically significant improvement with respect to scores for electrical engineering (p < 0.000) and physics (p < 0.002) only. The one-way ANOVA and Scheffe's test results revealed that the hybrid model had the strongest learning effects compared to online and F2F. A SWOT analysis helped to further explore students' perceptions of the three delivery formats. The present findings, which highlighted the effectiveness of hybrid learning, can be helpful in creating adaptive learning programs for engineering students. – Name: AbstractInfo Label: Abstractor Group: Ab Data: As Provided – Name: DateEntry Label: Entry Date Group: Date Data: 2026 – Name: AN Label: Accession Number Group: ID Data: EJ1501206 |
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| RecordInfo | BibRecord: BibEntity: Languages: – Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 1 Subjects: – SubjectFull: Foreign Countries Type: general – SubjectFull: Program Effectiveness Type: general – SubjectFull: Online Courses Type: general – SubjectFull: In Person Learning Type: general – SubjectFull: Blended Learning Type: general – SubjectFull: Engineering Education Type: general – SubjectFull: Undergraduate Students Type: general – SubjectFull: Programming Type: general – SubjectFull: Mathematics Education Type: general – SubjectFull: Science Education Type: general – SubjectFull: China Type: general Titles: – TitleFull: Evaluating the Effectiveness of Online, In-Person, and Hybrid Learning: A Case Study of Engineering Disciplines at a Chinese Technical University Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Lingyan Guo – PersonEntity: Name: NameFull: Margarita Lagutkina – PersonEntity: Name: NameFull: Larisa Mamedova IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1492-3831 Numbering: – Type: volume Value: 27 – Type: issue Value: 1 Titles: – TitleFull: International Review of Research in Open and Distributed Learning Type: main |
| ResultId | 1 |