English vocabulary, especially at the elementary stage of language learning process, is easily forgotten. Language games seem to be a good strategy for learning a foreign language. This study aimed to find a way to help elementary EFL learners fix the new English numbers in their minds. First, the general test of English numbers as a pretest was administered to 60 participants. They were requir...

Students' ability to accurately self-assess their performance and select a suitable subsequent learning task in response is imperative for effective self-regulated learning. Video modeling examples have proven effective for training self-assessment and task-selection skills, and-importantly-such training fostered self-regulated learning outcomes. It is unclear, however, whether trained skills w...

Empirical success of kernel-based learning algorithms is very much dependent on the kernel function used. Instead of using a single fixed kernel function, multiple kernel learning (MKL) algorithms learn a combination of different kernel functions in order to obtain a similarity measure that better matches the underlying problem. We study multitask learning (MTL) problems and formulate a novel M...

This paper introduces a new and effective algorithm for learning kernels in a Multi-Task Learning (MTL) setting. Although, we consider a MTL scenario here, our approach can be easily applied to standard single task learning, as well. As shown by our empirical results, our algorithm consistently outperforms the traditional kernel learning algorithms such as uniform combination solution, convex c...

We frame our response to the commentaries by Cheryan (2011), Lane (2011), and Shapiro and Williams (2011), in terms of two broad points made by Lane (2011). First, we agree that the various constructs that we termed “math attitudes”—including math-gender stereotypes, math anxiety, math self-concepts, and achievement motivation in math—are in fact distinct (Gunderson et al. 2011b). Nevertheless,...

Research indicates that people engage in rich mathematical practices in everyday activities, yet little is known about school-aged children’s mathematics learning within the family context. This paper reports results of an interview study with 20 families to understand contexts and activities that engage mathematics in the family setting. The results indicate that problem solving is frequent ac...

Absences in Chicago Public High Schools are 4-7 days per year higher in first period than at other times of the day. This study exploits this empirical regularity and the essentially random variation between students in the ordering of classes over the day to measure how the returns to classroom learning vary by course subject, and how much attendance in one class spills over into learning in o...

164 four-year-old children (14% Latino American, 30% African American, 56% European American; 57% girls) in 22 Head Start classrooms were followed through third grade. Growth curve models were used to estimate the predictive associations between pre-kindergarten executive function (EF) skills and trajectories of academic skill development (math, literacy, overall academic functioning) and socia...

Undergraduate students with a negative attitude towards Math present a unique challenge when teaching computer graphics. Most meaningful concepts in computer graphics involve directly working with Math in the classroom, and implementing tasks in programs requires a reasonable grounding in Math concepts and how to apply them. This paper presents a semester-long experience in using three strategi...