The effects of fluency-based instruction and accuracy-based instruction on contingency adduction were assessed using an alternating treatments design. Stimulus equivalence tasks were used to measure contingency adduction. Stimulus classes were composed of arbitrary visual forms. One treatment condition consisted of teaching fast, fluent responding…

Cognitive diagnostic models (CDMs) are a family of psychometric models designed to provide categorical classifications for multiple latent attributes. CDMs provide more granular evidence than other psychometric models and have potential for guiding teaching and learning decisions in the classroom. However, CDMs have primarily been conducted using…

With the continuous development of education, personalized learning has attracted great attention. How to evaluate students' learning effects has become increasingly important. In information technology courses, the traditional academic evaluation focuses on the student's learning outcomes, such as "scores" or "right/wrong,"…

This study used a person-centered approach to examine mother-daughter dyad behaviors when jointly solving addition problems during a card game. The goal was to identify maternal and child profile behaviors during the interaction as predictors of children's autonomous addition accuracy and strategy use at the end of first grade. Videotaped…

As one component of a functional behavioral assessment, descriptive assessments (DA) can help determine the maintaining variable of a student's problem behavior in school. School districts often employ board-certified behavior analysts as consultants to conduct DAs by observing a student and recording the environmental variables surrounding…

Deep Thought is a logic tutor where students practice constructing deductive logic proofs. Within Deep Thought is a data-driven mastery learning system (DDML), which calculates student proficiency based on rule scores weighted by expert-decided weights in order to assign problem sets of appropriate difficulty. In this study, we designed and tested…

This study examined the effectiveness of the iPad app Mathspace on high school students' algebra computation and skill maintenance. The participants in this study were four ninth grade students enrolled in beginning algebra at a large, urban high school. All four students were struggling to obtain grade-level algebra skills and were reported by…

Because it employs an emergent-learning framework, equivalence-based instruction (EBI) is said to be highly efficient, but its presumed benefits must be compared quantitatively with alternative techniques. In a randomized controlled trial, 61 college students attempted to learn 32 pairs of proprietary and generic drug names using computer-based…

At their core, Intelligent Tutoring Systems consist of a student model and a policy. The student model captures the state of the student and the policy uses the student model to individualize instruction. Policies require different properties from the student model. For example, a mastery threshold policy requires the student model to have a way…

The paper describes a biology tutoring system with adaptive question selection. Questions were selected for presentation to the student based on their utilities, which were estimated from the chance that the student's competence would increase if the questions were asked. Competence was represented by the probability of mastery of a set of biology…

We evaluated a self-instructional training manual for conducting multiple-stimulus without replacement stimulus preference assessment. The manual was compared to a method description, adapted from the method sections of previous published research articles, in an unbalanced crossover design with 18 undergraduate university students, randomly…