The strategy choice model (SCM) is a highly influential theory of human problem-solving. One strength of this theory is the allowance for both item and person variance to contribute to problem-solving outcomes, but this central tenet of the model has not been empirically tested. Explanatory item response theory (EIRT) provides an ideal approach to…

The strategy choice model (SCM) is a highly influential theory of human problem-solving. One strength of this theory is the allowance for both item and person variance to contribute to problem-solving outcomes, but this central tenet of the model has not been empirically tested. Explanatory item response theory (EIRT) provides an ideal approach to…

More and more jobs involve STEM, yet women are still underrepresented in many STEM fields, particularly engineering and computer science (National Science Foundation, 2019). Rural students in particular have historically faced numerous obstacles to entering STEM fields, including low educational aspirations, lack of STEM role models, and lack of…

In an introductory chemical engineering course, the conceptual framework of a holistic problem-solving methodology in conjunction with a problem-based learning approach has been shown to create a learning environment that nurtures deep learning rather than surface learning. Based on exam scores, student grades are either the same or better than…

This study used a multiple probe across participants design to examine the effects of a model drawing strategy (MDS) intervention package on fraction comparing and ordering word problem-solving performance of three Grade 4 students. MDS is a form of cognitive strategy instruction for teaching word problem solving that includes explicit instruction…

The Humanitarian Engineering and Social Entrepreneurship (HESE) Program engages students and faculty across Penn State in the rigorous research, design, field-testing, and launch of technology-based social enterprises that address global development challenges. HESE ventures are embedded in a series of five courses that integrate learning,…

We present a new method for analyzing a student's learning over time for a specific skill: analysis of the graph of the student's moment-by-moment learning over time. Moment-by-moment learning is calculated using a data-mined model that assesses the probability that a student learned a skill or concept at a specific time during learning (Baker,…

This article, the second of a two-part series, features 11 teaching innovations presented at the 2014 Association for Business Communication annual conference. These 11 assignments included leadership and other-focused communication--detecting communication style, adaptive communication, personality type, delivering feedback, problem solving, and…

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…

This paper develops a rhetorically centered model of community literacy in the theoretical and practical context of local publics--those spaces where ordinary people develop public voices to engage in intercultural inquiry and deliberation. Drawing on fifteen years of action research in the Community Literacy Center and beyond, the authors…

This guidebook was developed to aid mothers who are attending school or training programs and also have preschool or school-age children at home, to find new approaches to their complicated life situations. Based on the experiences of 215 women in Allegheny County Pennsylvania (Pittsburgh), the booklet describes some of the problems they faced as…

Considerable variation exists across response-to-intervention (RTI) approaches. There is currently insufficient research on outcomes associated with these different RTI approaches to inform decision-making. However, school psychologists who are asked to work within an RTI model need guidance to select an approach that has a high likelihood of…

The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…