Procrastination and Gaming in an Online Homework System of an Inverted CS1

Solyst, Jaemarie; Thakur, Trisha; Dutta, Madhurima; Asano, Yuya; Petersen, Andrew; Williams, Joseph Jay

doi:10.1145/3408877.3432440

Cited by 6 publications

(1 citation statement)

References 16 publications

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“…Another in-depth qualitative study conducted by Tekalign (2012) on children and the youth in Arba Minch city of Ethiopia also confirmed that drug houses around schools are one of the various factors that affect children’s and youth’s positive development. Following the wide availability of substances in the university local environment, the self-regulation (SR) ( Senécal et al, 1995 ; Bernardo et al, 2019 ; Katana et al, 2019 ; Natashia, 2020 ; Valenzuela et al, 2020 ) and AP of learners ( Park and Sperling, 2011 ; Yi-Chun et al, 2017 ; AbdiZarrin et al, 2020 ; Najma and Sultan, 2021 ; Solyst et al, 2021 ; Yang, 2021 ) are factors that need due consideration. In this regard, even though the notions of gambling and AP are emerging as topics of studies in recent decades, these studies focused on their prevalence.…”

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confidence: 99%

Indoor Pool Game and Substance Abuse as Trajectories to Students’ Academic Procrastination: The Mediation Role of Self-Regulation

Gita

Koya²,

Worku

2022

Front. Psychol.

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BackgroundOver the last decade, indoor pool games (IPGs) and substance abuse (SA) became a remarkable emerging addictive behavior among adolescent university students. With the failure of educational quality and retention of learners, boomerangs around the university local environment in line with the students’ learning culture were not considered in many countries including Ethiopia. Thus, this study aimed to examine the trajectory and contribution of an IPG and SA to students’ academic procrastination (AP) as determinants of quality education.MethodsA sequential explanatory mixed-methods design was employed. Self-reporting questionnaires, interview guides, and an observation checklist were used to collect data. All self-reporting items were adapted from previous scales. By using simple random sampling techniques, 237 undergraduate university students were selected for obtaining the quantitative data, and using purposive sampling, 12 interviewees were selected to collect the qualitative data. The SPSS AMOS version 25 was used to compute the multiple mediation path analysis. The Hayes PROCESS macro model was used. Furthermore, the thematic content analysis method was employed for the qualitative data.ResultsA direct path analysis was established between IPG, SA, and AP. The path analysis model indicated that IPG did not significantly predict AP. Moreover, SA significantly predicted AP. In addition, SR had a partial mediating effect on the relationship between IPG, SA, and AP.ConclusionThe study concluded that IPG and substances available around the university local environment found trajectories to students’ AP, which in turn affects the quality of education.

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