Informed by two theoretical models of homework effects, we extended a model of homework on mathematics achievement in a large sample of Chinese eighth graders. Our model incorporated six clusters of homework variables -- student background factors, homework characteristics, teacher variables, parent variables, student motivation, and homework…

The present study illustrates the utility of applying multilevel mixture models in educational research, using data on the homework behavior of 1,812 Swiss eighth-grade students in French as a second language. A previous person-centered study identified 5 homework learning types characterized by different patterns of high or low homework time and…

The purpose of this qualitative study was to examine the engagement of 11 middle school-aged students from a southeast Michigan public school, who were given laptop computers with twenty-four-hour-a-day Internet access in order to complete homework assignments. Specifically, this study examined the perceptions of sixth-grade students regarding the…

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…

Some parents and students perceived demanding homework assignments as a frequent source of grievance, particularly for those high performing students who want spare time for independent study and cultivation of talents through extracurricular activities. Teachers tended to perceive homework assignments as a meaningful extension of instruction time…

Using the Gap Analysis problem-solving framework (Clark & Estes, 2008), this study examined the performance gap experienced by 6th grade students on the math sections of the ISEE (Independent School Entrance Exam). The purpose of the study was to identify and validate the knowledge, motivation, and organization causes of the students' low…

Though it is generally believed that doing homework promotes better learning, no consensus has been achieved concerning its importance and relevance to students' achievement. The historical up-and-down status of public attitudes toward homework indicates that understanding about the role of homework in students' learning is far from comprehensive…

Japanese compulsory education had been praised because of its equality around the early 80s. However, since the third wave-educational reform that began in the 1980s and still persists, it has been pointed out that there are disparities between schools in terms of students' socioeconomic background and academic performance. Although there have…

Intelligent tutors have become increasingly accurate at detecting whether a student knows a skill, or knowledge component (KC), at a given time. However, current student models do not tell us exactly at which point a KC is learned. In this paper, we present a machine-learned model that assesses the probability that a student learned a KC at a…

The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…

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…

Much continues to be written about the failure of U.S. schools to provide a quality education for at-risk urban students. Private Nativity model schools have been instituted in response to the need to provide quality education at the middle school level for such students. As the number of these and other alternative middle schools increases, a…

These proceedings contain the papers of the 11th International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA 2014), October 25-27, 2014, which has been organized by the International Association for Development of the Information Society (IADIS) and endorsed by the Japanese Society for Information and Systems in…

The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…