Online Component Challenges of a Blended Learning Experience: A Comprehensive Approach

Autor/inn/en	Bayyat, Manal; Abu Muaili, Zainab Helmy; Aldabbas, Lujayn
Titel	Online Component Challenges of a Blended Learning Experience: A Comprehensive Approach
Quelle	In: Turkish Online Journal of Distance Education, 22 (2022) 4, S.277-294, Artikel 16 (18 Seiten)Infoseite zur Zeitschrift PDF als Volltext kostenfreie Datei Verfügbarkeit
Zusatzinformation	ORCID (Bayyat, Manal) ORCID (Abu Muaili, Zainab Helmy) ORCID (Aldabbas, Lujayn)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1302-6488
Schlagwörter	Electronic Learning; Blended Learning; Measures (Individuals); Construct Validity; Test Reliability; Student Characteristics; Undergraduate Students; Athletics; Self Management; Technological Literacy; Social Isolation; Gender Differences; Age Differences; Internet; Income; Prior Learning; Difficulty Level; Foreign Countries; Jordan + Suchen Sie Ihr Suchwort? Messdaten; Testreliabilität; Leichtathletik; Selbstmanagement; Technisches Wissen; Soziale Isolation; Geschlechterkonflikt; Age; Difference; Age difference; Altersunterschied; Einkommen; Vorkenntnisse; Schwierigkeitsgrad; Ausland
Abstract	This study aims to investigate: (1) the construct validity of the "Blended Learners' Online Component Challenges" BLOCC scale; (2) the internal reliability of the scale; and (3) the differences between blended learners' online component challenges according to different socio-demographic variables for Sport Science students. The sample of the study consisted of 263 students enrolled in blended learning classes at the School of Sport Sciences/University of Jordan. The BLOCC scale was used to collect the required data. The scale measures the four different online component challenges: (1) Self-Management Challenges (SMC); (2) Technology Competency and Literacy Challenges (TCLC); (3) Student Isolation Challenges (SIC); and (4) Technological Sufficiency and Complexity Challenges (TSCC). BLOCC scale proved to be valid and reliable (four items were omitted). The overall fit statistics for the hypothesized four factor model (chi-squared (df = 2.69) = 603.47, p < 0.001, (RMSEA) = 0.08 indicated a moderate and acceptable fit to the data representing the latent factor structure. Discriminant validity ranged between 0.53 and 0.70, Item-to-total correlation (0.55 and 0.72), Cronbach Alpha (0.72 and 0.86), and composite reliability (0.74 -0.95). Results of the study revealed that male students, students who have no internet accessibility, and those who have no previous experience in blended learning classes, all encountered significant higher levels of all BLOCC subscales. Older students (26-30 years old), and those with the lowest total income/month (< 500 JD) encountered significant levels of TLCC and TSCC. Students with lower literacy in computer skills level encountered significant differences in SMC, TLCC and TSCC. We encourage future studies to propose and implement curative approaches to face such online component challenges. (As Provided).
Anmerkungen	Anadolu University. Office of the Rector, Eskisehir, 26470, Turkey. Tel: +90-222-335-34-53; Fax: +90-222-335-34-86; e-mail: rektor@anadolu.edu.tr; e-mail: TOJDE@anadolu.edu.tr; Web site: http://tojde.anadolu.edu.tr/
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2022/1/01