Blended Learning Strategies and Student Engagement as Predictors on Students’ Literacy Development

Shema 'iah Sebio; Ionne Avelino

doi:10.5281/zenodo.14577174

Research Article

Blended Learning Strategies and Student Engagement as Predictors on Students’ Literacy Development

228 reads

Shema 'iah Sebio , Ionne Avelino

Psych Educ Multidisc J, 2024, 29 (9), 1467-1477, DOI: https://doi.org/10.5281/zenodo.14577174, ISSN 2822-4353

Verified on SciChain · token #4258 of SciMatic Articles (ERC-1155, 1,000,000 tokens)
Contract 0x0E596B4b…F05eF8 · mint transaction · verify the record

Abstract

This study sought to determine how blended learning strategies and student engagement predicts literacy development of sixth-grade children. A modified survey questionnaire was completed by 356 students as part of a quantitative research approach. Both student engagement and blended learning strategies were found to be important predictors of literacy progress using multiple regression analysis. The results point to the value of blended learning in raising literacy levels. It is advised that schools offer more resources and training in order to raise teacher and student proficiency in light of these findings. The growth of literacy can be further supported by integrating technology, focusing on active learning strategies, and providing individualized training. To strengthen learning at home, parental involvement is also encouraged.

Keywords student engagement MAED Educational Management literacy development blended learning strategies

The team behind this paper

2 authors, 2 institutions.

Readership

228 reads over 23 months.

Dec

Mar

Jun

Sep

Dec

Mar

Jun

40

Sep

December 2024 October 2026

On SciChain

This article is token #4258 of SciMatic Articles (ERC-1155): 1,000,000 tokens, minted once, never more. The chain also stores a fingerprint (SHA-256) of the article's record, so anyone can check that it has not been altered.

Holder	Wallet	Tokens
SciMatic	`0xc35709…277732`	100,000 (10%)
Shema 'iah Sebio	`0x6C72a8…fe08AC`	450,000 (45%)
Ionne Avelino	`0x65d188…23C229`	450,000 (45%)

Content hash 0xcf295859ef3da4f05ac82d6227548b688f5bc225249af221e33690b98ed4d9be

View on the explorer Verify the record Mint transaction

Bibliographic Information

Shema 'iah Sebio, Ionne Avelino, (2024). Blended Learning Strategies and Student Engagement as Predictors on Students’ Literacy Development, Psychology and Education: A Multidisciplinary Journal, 29(9): 1467-1477

Bibtex Citation


                        
            @article{shema_'iah_sebio2024pemj,

                author       = {Shema 'iah Sebio and Ionne Avelino},

                title        = {Blended Learning Strategies and Student Engagement as Predictors on Students’ Literacy Development},

                journal      = {Psychology and Education: A Multidisciplinary Journal},

                year         = {2024},

                volume       = {29},

                number       = {9},

                pages        = {1467-1477},

                doi          = {10.5281/zenodo.14577174},

                url          = {https://scimatic.org/show_manuscript/4258}

              }

APA Citation

Sebio, S.'., Avelino, I., (2024). Blended Learning Strategies and Student Engagement as Predictors on Students’ Literacy Development. Psychology and Education: A Multidisciplinary Journal, 29(9), 1467-1477. https://doi.org/10.5281/zenodo.14577174

Author Information

To change your profile photo, login to scimatic.org, go to your profile and change the photo.
Provide a face photo, and not full body.
It is better to remove the background from your photo. Go to Remove Background and then upload to profile
If you are unable to login, go to Reset My Password provide your email registered with the article and get new password.
In case of any other problem, contact your editor directly or write to us at info @ scimatic.org

Blended Learning Strategies and Student Engagement as Predictors on Students’ Literacy Development

Abstract

Share This Paper

The team behind this paper

Readership

Related work on SciMatic

On SciChain

Bibliographic Information

Author Information