Digital phenotyping is defined as the "moment-by-moment quantification of the individual level human phenotype in situ using data from personal digital devices". The passive data collected by smartphone devices, including GPS, accelerometer and communication logs, can provide insights on users' behaviors that could be related to various…

Collaborative learning provides learners with significant opportunities to collaborate on solving problems and creating better products. There has been a growing utilization of adaptive and intelligent systems to support productive learning while promoting collaborative practices. One of the core capabilities of these adaptive and intelligent…

Recently, with the advancement in 2D imaging techniques and 3D visual sensors such as LiDAR, RGB-D cameras, etc. The use of 2D and 3D data is ubiquitous in various fields like autonomous driving, AR, and VR. Therefore, we are faced with an ever-increasing demand for approaches toward the automatic processing and analysis of data from multiple…

We are currently in a century of data where massive amount of data are collected and processed every day, and machine learning plays a critical role in automatically processing the data and mining useful information from it for making decisions. Despite the wide and successful applications of machine learning in different fields, the robustness of…

In interactive e-learning environments such as Intelligent Tutoring Systems, there are pedagogical decisions to make at two main levels of granularity: whole problems and single steps. Here, we focus on making the problem-level decisions of worked example (WE) vs. problem solving (PS) and the step-level decisions of elicit vs. tell. More…

Dialogue act (DA) classification plays an important role in understanding, interpreting and modeling dialogue. Dialogue acts (DAs) represent the intended meaning of an utterance, which is associated with the illocutionary force (or the speaker's intention), such as greetings, questions, requests, statements, and agreements. In natural language…

Student success efficacy studies are aimed at assessing instructional practices and learning environments by evaluating the success of and characterizing student subgroups that may benefit from such modalities. We develop an ensemble learning approach to perform these analytics tasks with specific focus on estimating individualized treatment…

Advances in data analytics and intelligent technologies are enabling smart learning environments that promote personalized learning. Personalized learning systems where learners engage with information in a manner tailored to their unique needs, goals, and abilities have garnered significant academic research attention. If students can achieve…

Often in classrooms meaning-making skills are not acknowledged and therefore not fostered. In addition, there are many high school ELA classrooms that prioritize students' reaching one correct answer, or one best interpretation of literature. Yet, some ELA teachers do engage their students in rich meaning-making processes, and do not privilege one…

When a new student comes to play an educational game, how can we determine what content to give them such that they learn as much as possible? When a frustrated customer calls in to a helpline, how can we determine what to say to best assist them? When an ill patient comes in to the clinic, how do we determine what tests to run and treatments to…

Literacy and technology have historically informed and transformed each other. This mutual interaction creates cultural shifts that redefine what it means to be literate, and also impact the ways in which literacy is taught in contemporary classrooms. Literacy teaching and learning has been the focus of much study during the past 50 years…

As teacher collaboration becomes an increasingly common goal in school organization, teachers' experiences and perspectives in a Structured Collaboration Environment remain under-examined. This qualitative case study explored how teachers participated in collaborative work, the outcomes of collaboration, and supports and obstacles to productive…

This case study examined learning components and outcomes of the UDL Virtual Classroom project, a web-based professional development program that was a collaboration between educators in the United States and Jamaica. The study applied the HPL lens (NRC, 2000) in order to understand the ways that Jamaican educator-participants perceived the…

"Data modeling" is an approach that helps students to transform initial, and often misguided, understandings of variability and chance to forms of reasoning that coordinate chance with variability by designing learning environments that support this reasoning by allowing students to invent and revise models. The Assessing Data Modeling…

The topic of parental involvement has been widely studied but within the topic, the area of training teachers to work with parents has not. The training and preparation for teachers to work with parents are scarce and at times, non-existent. The primary purpose of this study is to examine effective middle school teachers about the steps on their…