Education Commons^™

Effects Of Aerobic Exercise On Individulas With Down Syndrome Via Telerehabilitation, Zeel K. Patel Miss, Isha Gautami, Namrata Jain, Jacob Hinkel-Lipsker Professor

International Journal of Exercise Science: Conference Proceedings

BACKGROUND: Most of the children and adolescents with Down’s syndrome (DS) have poor aerobic capacity, physical fitness and demonstrate diminished cognitive abilities. Recent studies suggest that increased physical activity may prove to be important for maintaining components of cognition, including memory along with physical fitness.

In addition, there is interest among practitioners in determining the efficacy of virtual exercise classes, which can be more convenient for clients. However, it is unknown whether group exercise classes delivered over videoconferencing achieve desired outcomes—particularly in special populations such as those with DS.

PURPOSE: The purpose of this study is to evaluate the effect …

A Transdiagnostic Examination Of Cognitive Heterogeneity In Children And Adolescents With Neurodevelopmental Disorders, Sarah Al-Saoud, Emily S. Nichols, Emma G. Duerden, Loretta Norton

Western Libraries Undergraduate Research Awards (WLURAs)

Children and adolescents with neurodevelopmental disorders (NDDs) demonstrate extensive cognitive heterogeneity that is not adequately captured by traditional diagnostic systems. Using a transdiagnostic approach, a retrospective cohort study of cognitive functioning was conducted with a large heterogenous sample (n = 1529) of children and adolescents 7 to 18 years of age with NDDs. Measures of short-term memory, verbal ability, and reasoning were administered to participants with attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), comorbid ADHD/ASD, and typically developing (TD) participants using a 12-item web-based neurocognitive testing battery. Unsupervised machine learning techniques were implemented to create a self-organizing map (SOM), …

Music Education And At-Risk Students: A Home For Everyone, Sherry L. Francis

Doctoral Dissertations and Projects

Despite positive efforts toward inclusion, learners with special needs are progressively increasing in the United States today especially “at-risk” students; therefore, it is imperative music educators prepare to meet the needs of a diverse population. At-risk most commonly refers to students who struggle academically and have a higher probability of dropping out of school, ultimately, leading to an unstable life. Any student can be at-risk, regardless of background or ability level. Fortunately, music education plays an important role in reaching and retaining at-risk students, particularly, in high school. Music is a reinforcing, valuable tool that creatively encourages student achievement which …

Approach To Problem Solving And Use Of Intuition By Engineering Technology Students, Meher R. Taleyarkhan, Anne M. Lucietto, Natalie L. F. Hobson, Therese M. Azevedo

Journal of Global Education and Research

Engineering technology students often forgo a methodical approach of solving or answering questions on assignments or exams in favor of an intuition-based approach, emphasizing educated guessing (Broberg et al., 2008). Faculty observations have noted these student solutions often provide explanations, usually sans calculations, to support answers the students believe to be reasonable when in reality deviated from the correct answer. An extensive study was developed to assess several distinctions between student intuition and use of cognition in problem solving, as related to a generalized student population. The study was comprised of a survey and interview. The survey utilized two instruments, …

A Q-Methodology Of Preservice Teachers’ Cognition Of Digital Literacy: A Philippine Case Study In Resource-Rich And Resource-Limited Settings, Camilla Vizconde, Rowena Sto. Tomas

Australian Journal of Teacher Education

This study aims to determine the existing digital literacy notions of Filipino preservice in two universities: one is a resource-rich context while the other is a resource-limited context. Contexts were determined based on the observed availability of digital tools. Twenty (20) preservice teachers each from two universities were invited for interviews after which they were again requested to arrange statements culled from the interviews. Utilizing the Q-sort methodology, a method that determines the standpoints of participants by their ranking of statements, three dimensions were identified: the portrait of balance, portrait of responsibility and portrait of support. The portraits represent the …

Metacognition In Teaching Of English Language Teachers In Bhutanese Secondary Schools, Yeshi Moktan, Somruedee Khongput

Australian Journal of Teacher Education

Despite numerous studies advocating for metacognitive interventions in day-to-day language instruction, little is known about teachers' awareness of their metacognition and how they process their cognition while teaching. This study aimed to examine English language teachers' metacognitive awareness in the Bhutanese context and their use of metacognition by adopting a mixed-method approach. Two phases of data collection were employed. A self-report questionnaire was used to collect quantitative data from 42 English language teachers from ten schools in Thimphu, Bhutan. Subsequently, qualitative data were collected through one classroom observation and two semi-structured interviews with 10 teachers selected purposively. The findings …

Explicit Rule Learning: A Cognitive Tutorial Method To Train Users Of Artificial Intelligence/Machine Learning Systems, Anne Linja

Dissertations, Master's Theses and Master's Reports

Today’s intelligent software systems, such as Artificial Intelligence/Machine Learning systems, are sophisticated, complicated, sometimes complex systems. In order to effectively interact with these systems, novice users need to have a certain level of understanding. An awareness of a system’s underlying principles, rationale, logic, and goals can enhance the synergistic human-machine interaction. It also benefits the user to know when they can trust the systems’ output, and to discern boundary conditions that might change the output. The purpose of this research is to empirically test the viability of a Cognitive Tutorial approach, called Explicit Rule Learning. Several approaches have been used …