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Direct linkKexin Qin; Yehui Wang – European Journal of Psychology of Education, 2025
Homework is a self-regulated activity that constitutes a large proportion of learning time. In mathematics, how long is the optimal homework time for achievement development and how to improve homework time efficiency have long been questions. The study examined how mathematics homework time was related to mathematics achievement among Chinese…
Descriptors: Mathematics Achievement, Homework, Guidance, Metacognition
A Person-Centred Approach to Understanding Self-Regulation in Homework Using Latent Profile Analysis
Xu, Jianzhong; Corno, Lyn – Educational Psychology, 2022
The current investigation used latent profile analysis (LPA) to categorise students according to their strategies for managing mathematics homework. A sample of 918 Chinese students in grades 7-9 rated their use of seven homework management strategies; namely, arranging the environment, managing time, monitoring motivation, managing emotion,…
Descriptors: Homework, Metacognition, Learning Strategies, Mathematics Achievement
Download full textFung, Karen; ElAtia, Samira – TESL Canada Journal, 2015
Using Hierarchical Linear Modelling (HLM), this study aimed to identify factors such as ESL/ELL/EAL status that would predict students' reading performance in an English language arts exam taken across Canada. Using data from the 2007 administration of the Pan-Canadian Assessment Program (PCAP) along with the accompanying surveys for students and…
Descriptors: Foreign Countries, Hierarchical Linear Modeling, Predictor Variables, English (Second Language)
Schmitz, Bernhard; Perels, Franziska – Metacognition and Learning, 2011
This study aims at enhancing math learning and general self-regulation by supporting daily self-regulated learning during math homework. The authors use standardized diaries as a self-monitoring tool to support self-regulatory behaviour. Following the theory of self-monitoring, frequent self-monitoring of self-regulation will lead to an…
Descriptors: Experimental Groups, Control Groups, Homework, Mathematics Achievement
Puustinen, Minna; Bernicot, Josie; Bert-Erboul, Alain – Learning and Instruction, 2011
The present study regarded the self-regulated vs. not-self-regulated function and the indirect vs. direct (i.e., polite vs. impolite) linguistic form of middle school students' requests for help. Natural data (149 requests were sent via an online homework-help forum by French-speaking seventh to ninth graders) was used. Nearly 60% of the requests…
Descriptors: Homework, Speech Communication, Grade 9, French
Xu, Jianzhong – Educational Psychology, 2010
The present study linked gender and grade level to homework management strategies and homework completion behaviours. The participants were 685 African American students in the south-eastern USA, including 370 eighth graders and 315 eleventh graders. Gender appeared related to the majority of homework measures examined in the present study.…
Descriptors: African American Students, Homework, Gender Differences, Grade 8
Xu, Jianzhong – School Community Journal, 2009
The aim of this study was to examine whether student achievement and school location may influence a range of homework management strategies. The participants were 633 rural and urban students in Grade 8. These homework management strategies include: (a) setting an appropriate work environment, (b) managing time, (c) handling distraction, (d)…
Descriptors: Middle School Students, Homework, Urban Schools, Rural Schools
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
