Following the recent developments in information and communication technologies (ICT), educators cannot opt-out using technology in educational settings. Yet, research studies have indicated that teachers' lack of ICT knowledge is considered among the barriers for successful technology integration. Within this framework, this study aimed at…

Preparing future teachers to be responsive to the needs of all students in their classrooms is the goalof any excellent teacher preparation program. How to prepare the preservice teachers (PTs) to be responsive to their students can be challenging. The study followed eight preservice teachers for two years and investigated their differentiation…

The emergence of 21st-century skills convinced educational institutions in modifying teaching styles, which lead to the introduction of blended, flipped, and personalized learning. Studies demonstrated present-day best practices, but none provided a practical assessment procedure. Thus, this study aimed to develop a tool in evaluating learning…

In educational applications, "Knowledge Tracing" (KT) has been widely studied for decades as it is considered a fundamental task towards adaptive online learning. Among proposed KT methods, Deep Knowledge Tracing (DKT) and its variants are by far the most effective ones due to the high flexibility of the neural network. However, DKT…

"Three Big Lessons in Six Years" is both a reflection on the past and a look ahead to the future at Charlestown (C-Town) High School (Boston, Massachusetts) and other early college programs across the country. The purpose of this series is to document essential design elements, operational structures, and critical support for students to…

The Early Interactive Reading Software Program encourages literacy growth and achievement in students in grades K-3. The program addresses early reading through the use of computer-based literacy software which provides individualized instruction designed to supplement students' classroom learning. During the 2019-2020 school year, these software…

Survey research examined the extent to which teacher knowledge and training in differentiated instruction (DI) predicted student achievement. The research examined the independent variables (IV) DI knowledge, training, and instructional strategies for effect on dependent variables (DV) ELA and Math student achievement scores. Using a survey…

Differentiated instruction (DI) is recognized as a factor that could improve the reading disparity among students despite diverse socioeconomic backgrounds. Few studies have been conducted that document elementary public school reading teachers' perspectives on differentiating reading instruction and selecting DI strategies for low-performing,…

The Ontario Ministry of Training, Colleges and Universities in Canada released "Ontario's Differentiation Policy Framework for Postsecondary Education" in 2013. This chapter examines the mandate as it pertains to the college sector.

Massive Open Online Courses (MOOCs) represent a form of large-scale learning that is changing the landscape of higher education. In this paper, we offer a perspective on how advances in artificial intelligence (AI) may enhance learning and research on MOOCs. We focus on emerging AI techniques including how knowledge representation tools can enable…

In large-scale assessments such as the ones encountered in MOOCs, a lot of usage data is available because of the number of learners involved. Newcomers, that just arrive on a MOOC, have various backgrounds in terms of knowledge, but the platform hardly knows anything about them. Therefore, it is crucial to elicit their knowledge fast, in order to…

Students nationwide demonstrate poor reading comprehension scores. Poor reading comprehension can hinder an individual's life from school age and through adulthood. Because of this, it is the goal of many educators as well as many school systems to improve student achievement in reading comprehension. The purpose of this study was to find a method…

Since 2010, the Institute for Personalized Learning (I4PL), a division of Cooperative Educational Service Agency (CESA) 1, has been collaborating with the Wisconsin Department of Public Instruction to inform the state's work with the Innovation Lab Network (ILN) managed by the Council of Chief State School Officers. ILN is a network of states that…

Personalized learning environments requiring the elicitation of a student's knowledge state have inspired researchers to propose distinct models to understand that knowledge state. Recently, the spotlight has shone on comparisons between traditional, interpretable models such as Bayesian Knowledge Tracing (BKT) and complex, opaque neural network…

Relevance of this article are questions of the differentiated approach in a specification of the purposes, tasks, contents and ways of the organization of teaching and educational process to training and formations of key competences of students on the basis of accounting of individual abilities and requirements. The purpose of article consists in…