Feedback on how students progress through completing subgoals can improve students' learning and motivation in programming. Detecting subgoal completion is a challenging task, and most learning environments do so either with "expert-authored" models or with "data-driven" models. Both models have advantages that are…

Recent developments in language models, such as ChatGPT, have sparked debate. These tools can help, for example, dyslexic people, to write formal emails from a prompt and can be used by students to generate assessed work. Proponents argue that language models enhance the student experience and academic achievement. Those concerned argue that…

In the era of 21st century learning, many secondary students with learning disabilities continue to struggle with mathematics problem solving. Emerging evidence suggests self-regulated strategy development can be combined with existing evidence-based and promising practices during mathematics instruction. These practices include explicit…

This article describes the theory, key components, and empirical support for the Classroom Strategies Coaching (CSC) Model, a data-driven coaching approach that systematically integrates data from multiple observations to identify teacher practice needs and goals, design practice plans, and evaluate progress towards goals. The primary aim of the…

Background Engineering: Faculty members should adopt effective pedagogical approaches in order to maximize student learning. The beliefs of faculty members about instructional practice are an important construct in determining what and how they teach. Purpose: This study investigates the effect of faculty members' involvement in model-eliciting…

Multi-Tiered Systems of Support (MTSS) are frameworks used to assess individual needs of students and the supports needed to meet those needs. An MTSS is complex with components which impact core instruction, curriculum, formative assessment, interventions, summative assessment, and problem solving. All of these components are a part of a school's…

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…

In the past three decades, researchers have noted the limitations of a problem-solving approach that overemphasizes algorithms and quantitation and neglects student misconceptions and an otherwise qualitative, conceptual understanding of chemical phenomena. Since then, studies and lessons designed to improve student understanding of chemistry has…

In order to be successful in problem-or project-based learning (PBL), students must take responsibility for the learning process by setting goals, monitoring, reflecting, and sustaining their motivation from the beginning of the project until the end. However, for many students, these processes do not occur naturally or easily. Therefore, the…

Cognitive scientists investigate mental models (how humans organize and structure knowledge in their minds) so as to understand human understanding of and interactions with the world. Cognitive and mental model research is concerned with internal conceptual systems that are not easily or directly observable. The goal of this research was to…

The Hint Factory is an implementation of our novel method to automatically generate hints using past student data for a logic tutor. One disadvantage of the Hint Factory is the time needed to gather enough data on new problems in order to provide hints. In this paper we describe the use of expert sample solutions to "seed" the hint generation…

With national attention on scaling up the implementation of Response to Intervention, problem solving teams remain one of the central components for development, implementation, and monitoring of school-based interventions. Studies have shown that problem solving teams evidence a sound theoretical base and demonstrated efficacy; however, limited…

Technical problem solving as a model for instructional design (ID) has its strengths, and it has done much to provide designers strategies for their work, but it has substantial limitations as well. For one, it does not do a good job in describing how designers actually think. Slavish adherence to its methods can also be considered responsible for…

Responsive evaluation emphasizes continually changing factors: educational issues, program observation, consideration of different values held by involved groups, and needs of the audience targeted to receive the report. Preordinate evaluation, on the other hand, emphasizes formal goals, standardized measurement instruments, and values held by the…

A brief review of formative evaluation strategies highlights a number of problems. A model, incorporating an objective thematic and structural analysis technique, is proposed with the aim of removing some of the existing problems. (Editor)